Barthel Index (BI)
Purpose
The Barthel Index (BI) measures the extent to which somebody can function independently and has mobility in their activities of daily living (ADL)
In-Depth Review
Purpose of the measure
The Barthel Index (BI) measures the extent to which somebody can function independently and has mobility in their activities of daily living (ADL)
The BI is a widely used measure of functional disability. The index was developed for use in rehabilitation patients with stroke
Available versions
The BI was first developed by Mahoney and Barthel in 1965 and later modified by Collin, Wade, Davies, and Horne in 1988.
- Original 10-item version (Mahoney & Barthel, 1965). Refers to the following 10 categories: feeding, bathing, grooming, dressing, bowel control, bladder control, toileting, chair transfer, ambulation and stair climbing. Items are weighted according to the level of nursing care required and are rated in terms of whether individuals can perform activitiesAs defined by the International Classification of Functioning, Disability and Health, activity is the performance of a task or action by an individual. Activity limitations are difficulties in performance of activities. These are also referred to as function.
independently, with some assistance, or are dependent (scored as 10, 5 or 0).
Features of the measure
Items:
The original 10-item form of the BI consists of 10 common ADL activities
including: feeding, bathing, grooming, dressing, bowel control, bladder control, toileting, chair transfer, ambulation and stair climbing. Items are rated in terms of whether individuals can perform activities
independently, with some assistance, or are dependent (scored as 10, 5 or 0). Items are weighted according to the level of nursing care required.
Scoring:
The score of the BI is a summed aggregate and there is preferential weighting on mobility and continence. The scores are allotted in the following way: 0 or 5 points per item for bathing and grooming; 0, 5, or 10 points per item for feeding, dressing, bowel control, bladder control, toilet use, and stairs; 0, 5, 10, or 15 points per item for transfers and mobility. The Index yields a total score out of 100 – the higher the score, the greater the degree of functional independence (McDowell & Newell, 1996). This score is calculated by simply totaling the individual item scores, which requires simple arithmetic computation
by hand.
A modified scoring system has been suggested by Shah, Vanclay, & Cooper (1989) using a 5-level ordinal scale for each item to improve sensitivity
to detecting change (1=unable to perform task, 2=attempts task but unsafe, 3=moderate help required, 4=minimal help required, 5=fully independent). Shah and coll. (1989) note that a score of 0-20 suggests total dependence, 21-60 severe dependence, 61-90 moderate dependence and 91-99 slight dependence.
Subscales:
None typically reported.
Equipment:
To administer the BI, one only needs a pencil and the test items.
Training:
Administration of the BI does not require training and has been shown to be equally reliable when administered by skilled and unskilled individuals (Collin & Wade, 1988). The BI can also be self-administered (McGinnis, Seward, DeJong, & Osberg, 1986). However, for patients older than 75 years of age, it is not recommended that the BI be administered as a self-report measure (Sinoff & Ore, 1997). One study suggests that the scale can be administered reliably over the telephone (Korner-Bitensky & Wood-Dauphinee, 1995).
Time:
The BI can take as little as 2-5 minutes to complete by self-report and up to 20 minutes to complete by direct observation (Finch, Brooks, Stratford, & Mayo, 2002).
Alternative forms of the BI
- Modified 10-item version (MBI)(Collin et coll., 1988). Functional categories may be scored from 0 to 1, 0 to 2, or 0 to 3, depending on the item. Total scores range from 0 to 20.
- 5-item short form(Hobart & Thompson, 2001). The 5-item version refers to the following 5 categories: transfers, bathing, toilet use, stairs, and mobility. Each item is scored 0 to 1, 0 to 2, or 0 to 3, depending on the function. Total scores range from 0 to 20. Hobart & Thompson (2001) found that the 5-item BI is psychometrically equivalent to the 10-item BI (correlationThe extent to which two or more variables are associated with one another. A correlation can be positive (as one variable increases, the other also increases – for example height and weight typically represent a positive correlation) or negative (as one variable increases, the other decreases – for example as the cost of gasoline goes higher, the number of miles driven decreases. There are a wide variety of methods for measuring correlation including: intraclass correlation coefficients (ICC), the Pearson product-moment correlation coefficient, and the Spearman rank-order correlation.
with original version was r = 0.90). - The expanded 15-item version(Granger et coll., 1979; Fortinsky & Granger, 1981). Added a 4-point scale of intact/limited/helper required/null. Scores range from 0 to 100. In the 15-item version, a score of 60 is commonly considered to be the threshold score for marked dependence (Granger, Sherwood, & Greer, 1977). High correlations of the expanded 15-item BI and other measures of function have been demonstrated (e.g., with Katz Indice of ActivitiesAs defined by the International Classification of Functioning, Disability and Health, activity is the performance of a task or action by an individual. Activity limitations are difficulties in performance of activities. These are also referred to as function.
of Daily Living, r = 0.78; with PULSES profile (medical status, upper and lower limb function, sensory and excretory function, mental and emotional status), r = -0.74 to -0.90 (Shinar, Gross, Bronstein, Licara-Gehr, Eden, Cabrera, et coll., 1987; Granger, 1985; Rockwood, Stolee & Fox, 1993). Scores were also predictive of return to independent living after 6 months (Granger, Hamilton, Gresham, & Kramer, 1989). - The extended BI (EBI)(Prosiegel, Bottger, & Schenk, 1996). The EBI consists of 16 items, 15 of which are identical to the Functional Independence Measure. Very little literature exists on the EBI, however Jansa, Pogacnik, and Gompertz (2004) found it to be a reliable and valid measure of disability/activity levels in 33 patients with newly diagnosed acute ischemic strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain..
- The 3-item BI(Ellul, Watkins, & Barer, 1988).Based on 3 items (bed-chair transfers, mobility, and bladder incontinence), it is a useful alternative to the full BI for assessing function at hospital discharge. To date, this version has only been validated in patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain..
- Self-rating BI(SB). The SB has good concurrent validityTo validate a new measure, the results of the measure are compared to the results of the gold standard obtained at approximately the same point in time (concurrently), so they both reflect the same construct. This approach is useful in situations when a new or untested tool is potentially more efficient, easier to administer, more practical, or safer than another more established method and is being proposed as an alternative instrument. See also “gold standard.”
and is well related with the original BI and the Functional Independence Measure. The indexes test-retest reliabilityA way of estimating the reliability of a scale in which individuals are administered the same scale on two different occasions and then the two scores are assessed for consistency. This method of evaluating reliability is appropriate only if the phenomenon that the scale measures is known to be stable over the interval between assessments. If the phenomenon being measured fluctuates substantially over time, then the test-retest paradigm may significantly underestimate reliability. In using test-retest reliability, the investigator needs to take into account the possibility of practice effects, which can artificially inflate the estimate of reliability (National Multiple Sclerosis Society).
is sufficiently high for practical use (Hachisuka, Ogata, Ohkuma, Tanaka, & Dozono, 1997; Hachisuka, Okazaki, & Ogata, 1997; McGinnis et coll., 1986). - Early Rehabilitation Barthel Indice (ERI). An extension of the BI, it was developed to assess functioning of individuals with severe brain damage, who often cannot be differentiated appropriately due to floor effects that occur with increasing severity of neurological impairment. The ERI looks at the following aspects: state requiring temporary intensive medical monitoring“The process of checking the task over time for ‘quality control’ and the adjustment of behavior” (Stuss, 2009, p. 9-10)
, tracheostoma requiring special treatment (suctioning), intermittent artificial respiration, confusional state requiring special care, behavioural disturbances requiring special care, swallowing disorders requiring special care, and severe communication deficits. Schonle (1995) found that the ERI is quick, economical, and reliable when administered to 210 early rehabilitation patients and 312 patients with severe brain damage.
There is little consensus over which should be considered the definitive version of the BI (McDowell & Newell, 1996), but the original and the 10-item and 15-item modifications are the most commonly used.
Client suitability
Can be used with:
- Patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain..
The BI is a frequently used stroke
of Daily Living (Mahoney & Barthel, 1965; Loewen & Anderson, 1990; Gresham, Phillips & Labi, 1980; Collin et coll., 1988; Roy, Tongeri, Hay, & Pentland, 1988; Wade & Hewer, 1987; Leung et coll., 2007). In patients with stroke
and ability to live independently. The total score of the BI has also been found to predict length of stay in hospital (Granger, Albrecht, & Hamilton, 1979).
There are no prerequisites for completing the BI. For patients who are unable to respond to the BI independently, the BI can be completed by proxy (eg. Duncan, Lai, Tyler, Perera, Reker, & Studenski, 2002; Wyller, Sveen, & Bautz-Holter 1995). Further, the BI can be reliably administered over the telephone to either the patient or their proxy (Korner-Bitensky & Wood-Dauphinee, 1995).
Should not be used in:
- To capture significant losses in higher levels of physical function or activitiesAs defined by the International Classification of Functioning, Disability and Health, activity is the performance of a task or action by an individual. Activity limitations are difficulties in performance of activities. These are also referred to as function.
that are necessary for independence in the home and community. This means that patients can still score a maximum score of 100 and experience significant impairments (Kelly-Hayes et al., 1998). - It should be used with caution in patients with mild strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. It is responsive to change but has definite ceiling effects in persons with mild strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. (Wade & Hewer, 1987; Skilbeck, Wade, Hewer, & Wood, 1983).
In what languages is the measure available?
The BI has been translated and validated in:
- Dutch (Post, van Asbeck, van Dijk, & Schrijvers, 1995)
- German (Heuschmann et al., 2005; Valach, Signer, Hartmeier, Hofer, & Steck, 2003)
- Turkish (Kucukdeveci, Yavuzer, Tennant, Suldur, Sonel, & Arasil, 2000)
- Persian (Oveisgharan, 2006)
- French (Condouret et al., 1988; Wirotius & Foucher-Berres, 1991)
- Chinese (Leung, Cha, & Shah, 2007) (modified Barthel Index)
Summary
What does the tool measure? | Activities of Daily Living |
What types of clients can the tool be used for? | Patients with stroke musculoskeletal disorders, oncology patients |
Is this a screening or assessment tool? |
Assessment |
Time to administer | Self report: 2-5 minutes; Direct observation: 20 minutes, but may vary according to patient’s abilities and tolerance |
Versions | Modified 10-item version (MBI); 5-item short form; The expanded 15-item version; The extended BI (EBI); The 3-item BI; Self-rating BI (SB); Early Rehabilitation Barthel Index (ERI) |
Other Languages | Dutch, German, Turkish, Persian, French, Chinese |
Measurement Properties | |
Reliability |
Internal consistency Five studies of the MBI reported excellent internal consistency Test-retest: Inter-rater: |
Validity |
Criterion: Concurrent: One study demonstrated excellent concurrent validity between the MBI and motor-Functional Independence Measure (FIM) at admission and discharge. Predictive: Construct: |
Does the tool detect change in patients? |
|
Acceptability | The MBI/BI has been evaluated for both self-report and use with proxy respondents in addition to direct observation. |
Feasibility | The MBI/BI is simple to administer. Requires training if administered by direct observation. It has been developed in many forms that can be administered in many situations and can be used for longitudinal assessment. |
How to obtain the tool? | For a copy of the original BI click here. |
Psychometric Properties
Overview
There is considerable psychometric data available for the BI (McDowell & Newell, 1996) and its various modified versions. For the purposes of this review, we conducted a literature search to identify all relevant publications on the psychometric properties of the original BI and the modified 10-item BI (MBI), the two most commonly used versions. We then selected to review articles from high impact journals, and from a variety of authors.
*Please note that the content in the original BI and MBI version of the BI is the same. Only the scoring values were changed in the MBI version (scored 0, 1, 2 or 3 versus 0, 5 and 10 in the original version), and thus do not impact the clinimetric properties of the tool (Quinn, Langhorne and Stott, 2011). The MBI yields a score ranging from 0 to 20, whereas the original BI yields a score of 0 to 100. For the purposes of this module, the psychometric properties for both the BI and MBI will be presented together and will be referred to as either the BI or MBI.
Floor and ceiling effect
Salbach et coll. (2001) examined the ceiling effects of the BI, Timed Up and Go (TUG), Berg Balance Scale (BBS), 10 meter walk test (10mWT) and 5 meter walk test (5mWT) in 50 patients with residual gait
deficits after a first-time stroke
Dromerick, Edwards and Diringer (2003) examined the floor/ceiling effects of the BI, the Functional Independence Measure (FIM), the Modified Rankin Scale (MRS) and the International Stroke
at admission (100%) and excellent ceiling effect
Van der Putten, Hobart, Freeman and Thompson (1999) compared the floor/ceiling effects of the MBI to that of the Motor-FIM, cognitive-FIM and total FIM in 201 patients with multiple sclerosis and 82 patients with stroke
Hsueh, Lin, Jeng and Hsieh (2002) compared the floor/ceiling effects of the FIM to that of the MBI and the 5-item BI (BI-5) in 118 patients with stroke
Reliability
Internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency.:
Hobart and Thompson (2001) compared the psychometrics of the MBI, FIM and the 30-item FIM + Functional Assessment Measure (FIM+FAM) in 149 patients with various neurological disorders. All measures were found to be psychometrically similar measures of physical disability. The internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. of the MBI was excellent, with a Cronbach’s alpha of 0.94 (Cronbach’s alpha of the FIM ranged from 0.89-0.96).
Hsueh, Lin, Jeng and Hsieh (2002) compared the internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. of the FIM to that of the MBI and the 5-item BI (BI-5) in 118 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. undergoing treatment on an inpatient rehabilitation unit. The MBI and FIM motor subscaleMany measurement instruments are multidimensional and are designed to measure more than one construct or more than one domain of a single construct. In such instances subscales can be constructed in which the various items from a scale are grouped into subscales. Although a subscale could consist of a single item, in most cases subscales consist of multiple individual items that have been combined into a composite score (National Multiple Sclerosis Society).
both demonstrated excellent internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. (Cronbach’s alpha coefficient ≥ 0.84), whereas the BI-5 demonstrated adequate internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. (Cronbach’s alpha coefficient ≥ 0.71) at admission and discharge.
Quinn, Langhorne and Stott (2011) conducted a literature review examining the internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. of the MBI in studies involving patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. The internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. of the MBI was found to be excellent (Cronbach’s alpha ³ 0.80) across all reviewed studies, as detailed below.
Shah and coll. (1989) examined the internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. of the MBI in 258 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. The internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. was excellent (Cronbach’s alpha 0.90).
Leung and coll. (2007) examined the internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. of the Chinese version and the English version of the MBI and found internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. to be excellent for both measures (Cronbach’s alpha 0.93 and 0.92 respectively).
Hseuh, Lee and Hsieh (2001) examined the internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. of the MBI in 121 Taiwanese patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. at four time points (14, 30, 90 and 180 days post-stroke). The internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. of the BI was excellent (Cronbach’s alpha 0.89-0.92).
Test-retest:
Green, Forster and Young (2001) examined the test-retest reliabilityA way of estimating the reliability of a scale in which individuals are administered the same scale on two different occasions and then the two scores are assessed for consistency. This method of evaluating reliability is appropriate only if the phenomenon that the scale measures is known to be stable over the interval between assessments. If the phenomenon being measured fluctuates substantially over time, then the test-retest paradigm may significantly underestimate reliability. In using test-retest reliability, the investigator needs to take into account the possibility of practice effects, which can artificially inflate the estimate of reliability (National Multiple Sclerosis Society).
of the MBI, Rivermead Mobility Indice (RMI), Nottingham extended ActivitiesAs defined by the International Classification of Functioning, Disability and Health, activity is the performance of a task or action by an individual. Activity limitations are difficulties in performance of activities. These are also referred to as function.
of Daily Living Scale (NEADL) and Frenchay ActivitiesAs defined by the International Classification of Functioning, Disability and Health, activity is the performance of a task or action by an individual. Activity limitations are difficulties in performance of activities. These are also referred to as function.
Indice (FAI) in 22 patients that were at least one year post-stroke. The four measures were administered twice, with a one-week interval. The MBI and RMI were found to have the strongest test-retest reliabilityA way of estimating the reliability of a scale in which individuals are administered the same scale on two different occasions and then the two scores are assessed for consistency. This method of evaluating reliability is appropriate only if the phenomenon that the scale measures is known to be stable over the interval between assessments. If the phenomenon being measured fluctuates substantially over time, then the test-retest paradigm may significantly underestimate reliability. In using test-retest reliability, the investigator needs to take into account the possibility of practice effects, which can artificially inflate the estimate of reliability (National Multiple Sclerosis Society).
with 75% and 85% agreement overall, respectively; however there was still considerable variability in kappa statistics (BI kappa =-0.09-0.81; RMI kappa =0.64-1.00). The NEADL and FAI demonstrated greater variability and more error (NEADL kappa =0.14-0.89; FAI kappa =0.25-1.00).
Inter-rater:
Leung and coll. (2007) examined the inter-rater reliability
of the Chinese and English versions of the MBI in 15 patients with stroke
was found to be excellent for the Chinese version (kappa = 0.81-1.00) and adequate to excellent for the English version (kappa =0.63-0.85), as calculated using kappa statistics.
Duffy, Gajree, Langhorne, Stott and Quinn (2013) conducted a systematic review
examining the inter-rater reliability
of the BI and MBI in patients with stroke
and meta-analysis
, 10 studies were included that involved assessors of differing backgrounds and experience. The BI was found to have excellent inter-rater reliability
in eight of the ten studies and adequate inter-rater reliability
in two of the ten studies, as calculated using intraclass correlation
(ICC), kappa statistics or weighted kappa statistics (ICC ranging from 0.94 to 0.96; kappa ranging from 0.62 to 0.90; weighted kappa ranging from 0.70 to 0.99). The results from five of the 10 studies are included below; the remaining 5 studies could not be reviewed for the purposes of this module as they were not available in English.
Loewen and Anderson (1988) examined the inter-rater and intra-rater reliability
of the BI in seven patients with stroke
and intra-rater reliability
were excellent (ICC=0.96 and 0.99 respectively).
Wolfe, Taub, Woodrow and Burney (1991) compared the inter-rater and intra-rater reliability
of the BI with the Rankin Scale. Inter-rater reliability
was excellent for both the BI and Rankin Scale (kw=0.88 to 0.98 and 0.75 to 0.95 respectively). Intra-rater reliability
was excellent for both the BI and Rankin Scale (kw=0.98 and 0.95 respectively).
Hseuh, Lee and Hsieh (2001) examined the inter-rater reliability
of the BI in Taiwanese patients with stroke
between items of the BI was adequate (weighted kappa = 0.53) to excellent (weighted kappa =0.94). The inter-rater reliability
for the total score was excellent (ICC=0.94).
Oveisgharan and coll. (2006) examined inter-rater reliability
of a Persian translated version of the BI; inter-rater reliability
was excellent (weighted kappa =0.99).
Cincura and coll. (2008) examined the inter-rater reliability
of the National Institutes of Health Stroke
was found to be adequate (kappa =0.70).
Validity
Content:
No studies have examined the content validity
of the BI in patients with stroke
Criterion:
Concurrent:
Hsueh, Lin, Jeng and Hsieh (2002) examined the concurrent validityTo validate a new measure, the results of the measure are compared to the results of the gold standard obtained at approximately the same point in time (concurrently), so they both reflect the same construct. This approach is useful in situations when a new or untested tool is potentially more efficient, easier to administer, more practical, or safer than another more established method and is being proposed as an alternative instrument. See also “gold standard.”
of MBI and the 5-item BI (BI-5) with the motor subscaleMany measurement instruments are multidimensional and are designed to measure more than one construct or more than one domain of a single construct. In such instances subscales can be constructed in which the various items from a scale are grouped into subscales. Although a subscale could consist of a single item, in most cases subscales consist of multiple individual items that have been combined into a composite score (National Multiple Sclerosis Society).
of the FIM in patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain., using Spearman correlationThe extent to which two or more variables are associated with one another. A correlation can be positive (as one variable increases, the other also increases – for example height and weight typically represent a positive correlation) or negative (as one variable increases, the other decreases – for example as the cost of gasoline goes higher, the number of miles driven decreases. There are a wide variety of methods for measuring correlation including: intraclass correlation coefficients (ICC), the Pearson product-moment correlation coefficient, and the Spearman rank-order correlation.
coefficient. The three measures were administered to 118 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. at admission to and discharge from an inpatient rehabilitation unit. Concurrent validityTo validate a new measure, the results of the measure are compared to the results of the gold standard obtained at approximately the same point in time (concurrently), so they both reflect the same construct. This approach is useful in situations when a new or untested tool is potentially more efficient, easier to administer, more practical, or safer than another more established method and is being proposed as an alternative instrument. See also “gold standard.”
of the MBI and the FIM motor subscaleMany measurement instruments are multidimensional and are designed to measure more than one construct or more than one domain of a single construct. In such instances subscales can be constructed in which the various items from a scale are grouped into subscales. Although a subscale could consist of a single item, in most cases subscales consist of multiple individual items that have been combined into a composite score (National Multiple Sclerosis Society).
was excellent at admission and discharge (r=0.92 and 0.94 respectively), whereas the 5-item BI demonstrated adequate to excellent concurrent validityTo validate a new measure, the results of the measure are compared to the results of the gold standard obtained at approximately the same point in time (concurrently), so they both reflect the same construct. This approach is useful in situations when a new or untested tool is potentially more efficient, easier to administer, more practical, or safer than another more established method and is being proposed as an alternative instrument. See also “gold standard.”
with the FIM motor subscaleMany measurement instruments are multidimensional and are designed to measure more than one construct or more than one domain of a single construct. In such instances subscales can be constructed in which the various items from a scale are grouped into subscales. Although a subscale could consist of a single item, in most cases subscales consist of multiple individual items that have been combined into a composite score (National Multiple Sclerosis Society).
at admission and discharge (r=0.74 and 0.92 respectively).
Predictive:
Hseuh, Lee and Hsieh (2001) examined the predictive validity
of the MBI in 121 patients with stroke
Indice (FAI), using Pearson product-moment correlation
coefficient. The MBI was administered at 14, 30, 90 and 180 days post-stroke and the FAI was administered at 180 days post-stroke. The MBI scores at 14, 30 and 90 days post-stroke demonstrated adequate correlation
with FAI scores at 180 days post-stroke, (r=0.59, 0.66. 0.63 respectively). Results of this study found the MBI to be an adequate predictor of instrumental ADL performance at six months following stroke
Patel, Coshall, Lawrence, Rudd and Wolfe (2001) examined the ability of the MBI and Frenchay Activity Indice (FAI) to predict whether a patient with post-stroke urinary incontinence would regain continence. The study involved 207 patients with stroke
. The MBI and the FAI were administered on approximately day seven post-stroke to allow for medical stabilization and at 3-months post-stroke. Patients scoring 15 to 18 (out of 20) on the MBI on day seven were found more likely to regain continence as compared with those scoring less than 15 (Odds ratio=21.8, 95% CI=5.95 – 79.7). At 3 months, patients with incontinence were found to have greater disability as measured by the MBI (P<0.001) and FAI (P=0.002) and greater rates of institutionalization (P<0.001).
Sze, Wong, Leung and Woo (2001) investigated the predictors of falls in patients with stroke
was also found to put patients at an increased risk for falls (odds ratio 1.81; 95% CI, 1.03–3.17, r=.0382).
Tilling and coll. (2001) examined the ability of the MBI to predict functional recovery following stroke
was found to be even stronger when the patient’s actual observed recovery was taken into consideration and the predictions of future MBI scores were adjusted accordingly. Scoring <1 point below the predicted score on the MBI was found to be predictive of death before the next assessment time point (65% sensitivity
, 79% specificity
). The results of this study suggest that this model can aid in establishing initial recovery predictions, developing rehabilitation goals and monitoring
recovery in patients with stroke
Chang, Tseng, Weng, Lin, Liou and Tan (2002) examined the predictors of acute care hospital length of stay in 330 patients with first-ever acute stroke
. MBI scores at admission (r=0.042), along with National Institute of Health Stroke
Hsieh and coll. (2007) investigated the minimal clinically important difference (MCID) of the modified 10-item BI in a two-part study involving patients with sub-acute to chronic stroke
Note: The MCID estimated in this study is applicable only for improvement in function, not deterioration.
Construct:
Wilkinson and coll. (1997) investigated the construct validityReflects the ability of an instrument to measure an abstract concept, or construct. For some attributes, no gold standard exists. In the absence of a gold standard , construct validation occurs, where theories about the attribute of interest are formed, and then the extent to which the measure under investigation provides results that are consistent with these theories are assessed.
of the MBI as a standard long-term outcome measure of patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. The Hospital Anxiety and DepressionIllness involving the body, mood, and thoughts, that affects the way a person eats and sleeps, the way one feels about oneself, and the way one thinks about things. A depressive disorder is not the same as a passing blue mood or a sign of personal weakness or a condition that can be wished away. People with a depressive disease cannot merely “pull themselves together” and get better. Without treatment, symptoms can last for weeks, months, or years. Appropriate treatment, however, can help most people with depression.
Scale (HADS), London Handicap Scale (LHS), Frenchay ActivitiesAs defined by the International Classification of Functioning, Disability and Health, activity is the performance of a task or action by an individual. Activity limitations are difficulties in performance of activities. These are also referred to as function.
Indice (FAI), SF36, Nottingham Health Profile (NHP) and the Life Satisfaction Indice (LSI) were administered alongside the MBI in a long-term study involving 106 patients with first-ever strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. (patients were followed for a mean interval of 4.9 years). Rank CorrelationThe extent to which two or more variables are associated with one another. A correlation can be positive (as one variable increases, the other also increases – for example height and weight typically represent a positive correlation) or negative (as one variable increases, the other decreases – for example as the cost of gasoline goes higher, the number of miles driven decreases. There are a wide variety of methods for measuring correlation including: intraclass correlation coefficients (ICC), the Pearson product-moment correlation coefficient, and the Spearman rank-order correlation.
Coefficients were excellent between the MBI and SF36 Physical Functioning dimension (r=0.81), NHP Energy (r=0.605) and Physical Mobility (r=0.840) dimensions, LHS (r=0.726) and FAI (r=0.826). Rank CorrelationThe extent to which two or more variables are associated with one another. A correlation can be positive (as one variable increases, the other also increases – for example height and weight typically represent a positive correlation) or negative (as one variable increases, the other decreases – for example as the cost of gasoline goes higher, the number of miles driven decreases. There are a wide variety of methods for measuring correlation including: intraclass correlation coefficients (ICC), the Pearson product-moment correlation coefficient, and the Spearman rank-order correlation.
Coefficients were adequate between the MBI and the SF36 Social Functioning (r=0.481), Role: Physical (r=0.415), Mental Health (r=0.332), Vitality (r=0.500), Bodily Pain (r=0.356) and General Health (r=0.438) dimensions, HADS (r=-0.563), and LSI (r=0.361). Poor correlations were found between the MBI and the SF36 Role: Emotional dimension (r=0.217) and NHP Sleep dimension (r=0.189). The results of this study suggest that the MBI should be administered alongside other measures that assess the psychosocial dimensions of health status as the MBI fails to sufficiently assess these aspects.
Convergent/Discriminant:
Hseuh, Lee and Hsieh (2001) examined the convergent validityA type of validity that is determined by hypothesizing and examining the overlap between two or more tests that presumably measure the same construct. In other words, convergent validity is used to evaluate the degree to which two or more measures that theoretically should be related to each other are, in fact, observed to be related to each other.
of the MBI, Berg Balance Scale (BBS) and the Fugl-Meyer Motor Assessment (FMA) in 121 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain., using Pearson product-moment correlationThe extent to which two or more variables are associated with one another. A correlation can be positive (as one variable increases, the other also increases – for example height and weight typically represent a positive correlation) or negative (as one variable increases, the other decreases – for example as the cost of gasoline goes higher, the number of miles driven decreases. There are a wide variety of methods for measuring correlation including: intraclass correlation coefficients (ICC), the Pearson product-moment correlation coefficient, and the Spearman rank-order correlation.
coefficient . The three measures were administered at 14, 30, 90 and 180 post-stroke. The total MBI score had excellent correlationThe extent to which two or more variables are associated with one another. A correlation can be positive (as one variable increases, the other also increases – for example height and weight typically represent a positive correlation) or negative (as one variable increases, the other decreases – for example as the cost of gasoline goes higher, the number of miles driven decreases. There are a wide variety of methods for measuring correlation including: intraclass correlation coefficients (ICC), the Pearson product-moment correlation coefficient, and the Spearman rank-order correlation.
with the FMA and BBS scores at all four time points (MBI and FMA r=0.8, 0.81, 0.78, 0.8; MBI and BBS r =0.89, 0.94, 0.9, 0.91 respectively).
Known Groups:
No studies have examined the known groups validity
of the BI in patients with stroke
Responsiveness
Wood-Dauphinee, Williams and Shapior (1990) compared the responsivenessThe ability of an instrument to detect clinically important change over time.
of the BI to the Fugl-Meyer Assessment (FMA) in 167 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. Patients were assessed at admission to hospital and at 5-weeks post-stroke. The correlationThe extent to which two or more variables are associated with one another. A correlation can be positive (as one variable increases, the other also increases – for example height and weight typically represent a positive correlation) or negative (as one variable increases, the other decreases – for example as the cost of gasoline goes higher, the number of miles driven decreases. There are a wide variety of methods for measuring correlation including: intraclass correlation coefficients (ICC), the Pearson product-moment correlation coefficient, and the Spearman rank-order correlation.
between mean change in FMA Upper and Lower Extremity Motor subscores and total Barthel Indice scores was adequate (r = 0.57), as calculated using Pearson correlationThe extent to which two or more variables are associated with one another. A correlation can be positive (as one variable increases, the other also increases – for example height and weight typically represent a positive correlation) or negative (as one variable increases, the other decreases – for example as the cost of gasoline goes higher, the number of miles driven decreases. There are a wide variety of methods for measuring correlation including: intraclass correlation coefficients (ICC), the Pearson product-moment correlation coefficient, and the Spearman rank-order correlation.
coefficients. The FMA and BI were both found to have small effect sizes (ES = 0.24 and 0.42 respectively) from admission to 5-weeks post strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. The results of this study suggest that both measures have poor responsivenessThe ability of an instrument to detect clinically important change over time.
with the BI being more sensitive to detecting change that the FMA.
Salbach and coll. (2001) examined the responsivenessThe ability of an instrument to detect clinically important change over time.
of the BI, Timed Up and Go (TUG), Berg Balance Scale (BBS), 10 meter walk test (10mWT) and 5 meter walk test (5mWT) in 50 patients with residualgait deficits after a first-time strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. The BI, BBS 5mWT and 10mWT demonstrated large effect sizes and the TUG demonstrated a moderate effect sizeEffect size (ES) is a name given to a family of indices that measure the magnitude of a treatment effect. Unlike significance tests, these indices are independent of sample size. The ES is generally measured in two ways: as the standardized difference between two means, or as the correlation between the independent variable classification and the individual scores on the dependent variable. This correlation is called the “effect size correlation”.
, between 8 days and 38 days post-stroke, as calculated using standardized response means (SRM = 0.99, 1.04, 1.22, 0.92 and 0.73 respectively).
Hsueh, Lin, Jeng, and Hsieh (2002) compared the responsivenessThe ability of an instrument to detect clinically important change over time.
of the BI, 5-item short form BI (BI-5) and motor-FIM in 118 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. undergoing treatment on an inpatient rehabilitation unit. The BI, BI-5 and motor-FIM all exhibited high responsivenessThe ability of an instrument to detect clinically important change over time.
, as calculated using standardized response meanThe standardized response mean (SRM) is calculated by dividing the mean change by the standard deviation of the change scores.
(SRM) (BI=1.2; 5-BI=1.2; motor-FIM=1.3) indicating significant sensitivitySensitivity refers to the probability that a diagnostic technique will detect a particular disease or condition when it does indeed exist in a patient (National Multiple Sclerosis Society). See also “Specificity.”
for detecting change.
Wallace, Duncan, and Lai (2002) compared the responsivenessThe ability of an instrument to detect clinically important change over time.
of the BI to that of the motor-FIM for recovery following strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. Change was measured using the Modified Rankin Scale. The BI and motor-FIM were administered to 372 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. at one and three months following strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. The BI and motor-FIM were both found to have small effect sizes (ES = 0.31 and 0.28 respectively), indicating similar responsivenessThe ability of an instrument to detect clinically important change over time.
between the measures.
Van der Putten, Hobart, Freeman and Thompson (1999) compared the responsivenessThe ability of an instrument to detect clinically important change over time.
of the MBI to that of the motor and cognitive components of the FIM and the FIM total score in 201 patients with multiple sclerosis and 82 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. undergoing inpatient neuro-rehabilitation. The MBI and the total-FIM and motor-FIM all demonstrated large effect sizes for patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. (ES = 0.95, 82, 91 respectively) and the cognitive-FIM demonstrated an adequate effect sizeEffect size (ES) is a name given to a family of indices that measure the magnitude of a treatment effect. Unlike significance tests, these indices are independent of sample size. The ES is generally measured in two ways: as the standardized difference between two means, or as the correlation between the independent variable classification and the individual scores on the dependent variable. This correlation is called the “effect size correlation”.
(ES = 0.61). Change in scores for all scales in both disease groups were positive, indicating less disability on discharge than admission. Effect sizes on the MBI were similar to those of the FIM in both patient groups.
Hsueh, Lee and Hsieh (2001) examined the responsivenessThe ability of an instrument to detect clinically important change over time.
of the MBI in 121 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. The MBI was administered at 14, 30, 90 and 180 post-stroke. Standardized effect sizeEffect size (ES) is a name given to a family of indices that measure the magnitude of a treatment effect. Unlike significance tests, these indices are independent of sample size. The ES is generally measured in two ways: as the standardized difference between two means, or as the correlation between the independent variable classification and the individual scores on the dependent variable. This correlation is called the “effect size correlation”.
scores were calculated for the intervals between 14-30 days, 30-90 days, 90-180 days and 14-180 days. The MBI demonstrated moderate to large effect sizes for all intervals, except for the 90-180 days post-stroke interval (ES = 0.56, 0.53, 0.11 and 1.27 respectively). The largest effect sizeEffect size (ES) is a name given to a family of indices that measure the magnitude of a treatment effect. Unlike significance tests, these indices are independent of sample size. The ES is generally measured in two ways: as the standardized difference between two means, or as the correlation between the independent variable classification and the individual scores on the dependent variable. This correlation is called the “effect size correlation”.
was 14-180 days post-stroke, indicating that the MBI is most sensitive to detecting change in ADL function over longer periods of time.
Dromerick, Edwards, and Diringer (2003) examined responsivenessThe ability of an instrument to detect clinically important change over time.
of the MBI and the FIM in a sample of 95 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. on admission to and discharge from a strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. rehabilitation service. The Modified Rankin Scale and the International StrokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. Trial Measure were used to measure disability. The FIM was found to be more responsive to change from admission to discharge than the MBI, as calculated using the standardized response meanThe standardized response mean (SRM) is calculated by dividing the mean change by the standard deviation of the change scores.
(SRM) (SRM= 2.18 vs. 1.72). The MBI detected change in 71/95 subjects but demonstrated ceiling effects with 27% of subjects scoring >95. The results of this study found the FIM to be the most sensitive of the four measures, detecting change in 91/ 95 patients, including change in 18 patients in whom the MBI detected no change.
Schepers, Ketelaar, Visser-Meily, Dekker and Lindeman (2006) investigated the responsivenessThe ability of an instrument to detect clinically important change over time.
of the MBI, FIM, Frenchay ActivitiesAs defined by the International Classification of Functioning, Disability and Health, activity is the performance of a task or action by an individual. Activity limitations are difficulties in performance of activities. These are also referred to as function.
Indice (FAI), and StrokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. Adapted Sickness Impact Profile 30 (SA-SIP30). The four measures were administered to 163 patients with strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. at admission to inpatient rehabilitation and at 6-months and 1-year post strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain.. The MBI and the FIM total and motor scores were found to have a large effect sizes at 6-months post strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. (ES 0.98, 0.84 and 0.89 respectively) and a moderate effect sizeEffect size (ES) is a name given to a family of indices that measure the magnitude of a treatment effect. Unlike significance tests, these indices are independent of sample size. The ES is generally measured in two ways: as the standardized difference between two means, or as the correlation between the independent variable classification and the individual scores on the dependent variable. This correlation is called the “effect size correlation”.
at 1-year post strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. (ES = 0.52, 0.47 and 0.51 respectively). The FIM cognitive score was found to have a moderate effect sizeEffect size (ES) is a name given to a family of indices that measure the magnitude of a treatment effect. Unlike significance tests, these indices are independent of sample size. The ES is generally measured in two ways: as the standardized difference between two means, or as the correlation between the independent variable classification and the individual scores on the dependent variable. This correlation is called the “effect size correlation”.
at both 6-months and 1-year post strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. (ES = 0.47 at both time points). The SASIP30 and FAI demonstrated moderate effect sizes at 1-year post stoke (ES = 0.63 and 0.59 respectively). Results of this study indicate that the MBI and FIM (total and motor) are most apt to detect change in the subacute phase.
Note: The effect sizes for the SIP30 and FAI were not calculated at 6-months post strokeAlso called a “brain attack” and happens when brain cells die because of inadequate blood flow. 20% of cases are a hemorrhage in the brain caused by a rupture or leakage from a blood vessel. 80% of cases are also know as a “schemic stroke”, or the formation of a blood clot in a vessel supplying blood to the brain. due to insufficient data. The FAI was only administered to patients who resided at home during the time of testing as the measure pertains to function relating daily housekeeping and activitiesAs defined by the International Classification of Functioning, Disability and Health, activity is the performance of a task or action by an individual. Activity limitations are difficulties in performance of activities. These are also referred to as function.
typically performed outside of the rehabilitation or hospital environment.
References
- Bohannon, R. & Landes, M. (2004). Reliability, validity, and responsiveness of a 3-Item Barthel for characterizing the physical function of patients hospitalized for acute stroke. Journal of Neurologic Physical Therapy, 28(3), 110-113.
- Brazil, L., Thomas, R., Laing, R., Hines, F., Guerrero, D., Ashley, S., & Brada, M. (1997). Verbally administered Barthel Index as functional assessment in brain tumour patients. Journal of Neuro-Oncology, 34(2), 187-192.
- Chang, K., Tseng, M., Weng, H., Lin, Y., Liou, C. & Tan, T. (2002). Prediction of length of stay of first-ever ischemic stroke. Stroke, 33(1), 2670-2674.
- Cincura, C., Pontes-Neto, O., Neville, I., Mendes, H., Menezes, D., Mariano, D. et al. (2009). Validation of the National Institutes of Health Stroke Scale, Modified Rankin Scale and Barthel Index in Brazil: The role of cultural adaptation and structured interviewing. Cerebrovascular Diseases, 27, 119-122.
- Collin, C., Wade, D., Davies, S., & Horne, V. (1988). The Barthel ADL Index: a reliability study. International Disability Studies, 10, 61-63.
- Condouret, J., Pujol, M., Roques, C. F., Roudil, J., Soulages, X., & Bourg, V. (1988). Valeur et limites de l’incide de Barthel a propos de 115 malades hemiplegiques. In: J. Pelissier (dir.), Hemiplegie vasculaire de l’adule et medicine de reeducation. Paris: Masson, p. 45-51.
- Dromerick, A., Edwards, D. & Diringer, M. (2003). Sensitivity to changes in disability after stroke: A comparison of four scales useful in clinical trials. Journal of Rehabilitation Research and Development, 40, 1-8.
- Duffy, L., Gajree, S., Langhorne, P., Stott, D. & Quinn, T. (2013). Reliability (inter-rater agreement) of the Barthel Index for assessment of stroke survivors. Stroke, 44, 462-468.
- Duncan, P., Lai, S., Tyler, D., Perera, S., Reker, D. & Studenski, S. (2002). Evaluation of proxy responses to the Stroke Impact Scale. Stroke, 33, 2593.
- Duncan, P., Samsa, G., Weinberger, M., Goldstein, L., Bonito, A., Witter, D., Enarson, C., & Matchar, D. (1997). Health status of individuals with mild stroke. Stroke, 28(4), 740-745.
- Ellul, J., Watkins, C., & Barer, D. (1998). Estimating total Barthel scores from just three items: The European Stroke Database ‘minimum dataset’ for assessing functional status at discharge from hospital. Age and Ageing, 27(2), 115-122.
- Finch, E., Brooks, D., Stratford, P. & Mayo, N. (2002). Physical Rehabilitations Outcome Measures. A Guide to Enhanced Clinical Decision-Making (2nd ed.), Canadian Physiotherapy Association, Toronto.
- Fortinsky, R., Granger, C. & Seltzer, G. (1981). The use of functional assessment in understanding home care needs. Medical Care, 19, 489-497.
- Granger, C., Greer, D., Liset, E., Coulombe, J., & O’Brien, E. (1975). Measurement of outcomes of care for stroke patients. Stroke, 6, 34-41.
- Granger, C., Sherwood, C. & Greer, D. (1977). Functional status measures in a comprehensive stroke care program. Archives of Physical Medicine and Rehabilitation, 58, 555-561.
- Granger, C. (1985). Outcome of comprehensive medical rehabilitation: an analysis based upon the impairment, disability, and handicap model. International Journal of Rehabilitation Medicine, 7, 45-50.
- Granger, C., Hamilton, B., Gresham, G., & Kramer, A. (1989). The Stroke Rehabilitation Outcome Study: Part II. Relative merits of the total Barthel Index Score and a four-item subscore in predicting patient outcomes. Archives of Physical Medicine and Rehabilitaiton, 70, 100-103.
- Green, J., Forster, N. & Young, J. (2001). A test-retest reliability study of the Barthel Index, the Rivermead Mobility Index, and the Nottingham extended Activities of Daily Living Scale and the Frenchay Activities Index in stroke patients. Disability and Rehabilitation, 23(15), 670-676.
- Gresham, G., Phillips, T. & Labi, M. (1980). ADL status in stroke: relative merits of three standard indexes. Archives of Physical Medicine and Rehabilitation, 61, 355-358.
- Hachisuka, K., Ogata, H., Ohkuma, H., Tanaka, S., & Dozono, K. (1997). Test-retest and inter-method reliability of the self-rating Barthel Index. Clinical Rehabilitation, 11(1), 28-35.
- Hachisuka, K., Okazaki, T., & Ogata, H. Self-rating Barthel index compatible with the original Barthel index and the Functional Independence Measure motor score. Journal of University of Occupational and Environmental Health, 19(2), 107-121.
- Harwood, R. & Ebrahim, S. (2000). Measuring the outcomes of day hospital attendance: a comparison of the Barthel Index and London Handicap Scale. Clinical Rehabilitation, 14, 527-531.
- Heuschmann, P., Kolominsky-Rabas, P., Nolte, C., Hunermund, G., Ruf, H., Laumeier, I., Meyrer, R., Alberti, T., Rahmann, A., Hurth, T., & Berger, K. (2005). [The reliability of the german version of the barthel-index and the development of a postal and telephone version for the application on stroke patients]. Fortschritte der Neurologie-Psychiatrie und ihrer Grenzgebiete, 73(2), 74-82.
- Hobart, J. & Thompson, A. (2001). The five item Barthel index. Journal of Neurology, Neurosurgery and Psychiatry, 71, 225-230.
- Hocking, C., Williams, M., Broad, J., & Baskett, J. (1999). Sensitivity of Shah, Vanclay and Cooper’s Modified Barthel Index. Clinical Rehabilitation, 13, 141-147.
- Hsieh, Y., Wang, C., Wu, S., Chen, P., Sheu, C. & Hsieh, C. (2007). Establishing the minimally clinically important difference of the Barthel Index in stroke patients. Neurorehabilitation and Neural Repair, 21, 233-238.
- Hsueh, I., Lee, M., & Hsieh, C. (2001). Psychometric characteristics of the Barthel Activities of Daily Living index in stroke patients. Journal of the Formosan Medical Association, 100(8), 526-532.
- Hsueh, I., Lin, J., Jeng, J. & Hsieh, C. (2002). Comparison of the psychometric characteristics of the functional independence measure, 5 item Barthel index, and 10 item Barthel index in patients with stroke. Journal of Neurology, Neurosurgery and Psychiatry, 73, 188-190.
- Jansa, J., Pogacnik, T., & Gompertz, P. (2004). An evaluation of the Extended Barthel Index with acute ischemic stroke patients. Neurorehabilitation and Neural Repair, 18(1), 37-41.
- Katz, P. (2003). Measures of Adult General Functional Status (The Barthel Index, Katz Index of Activities of Daily Living, Health Assessment Questionnaire (HAQ), MACTAR Patient Preference Disability Questionnaire, and Modified Health Assessment Questionnaire (MHAQ)). Arthritis & Rheumatism (Arthritis Care & Research), 49(5S), S15-S27.
- Kelly-Hayes, M., Robertson, J., Broderick, J., Duncan, P., Hershey, L., Roth, E., Thies, W. & Trombly, C. (1998). The American Heart Association Stroke Outcome Classification. Stroke, 29, 1274-1280.
- Korner-Bitensky, N. & Wood-Dauphinee, S. (1995). Barthel Index information elicited over the telephone: is it reliable? American Journal of Physical Medicine and Rehabilitation, 74, 9-18.
- Kucukdeveci, A., Yavuzer, G., Tennant, A., Suldur, N., Sonel, B., & Arasil, T. (2000). Adaptation of the modified Barthel Index for use in physical medicine and rehabilitation in Turkey. Scandinavian Journal of Rehabilitation Medicine, 32(2), 87-92.
- Leung, S., Chan, C. & Shah, S. (2007) Development of a Chinese version of the Modified Barthel Index- validity and reliability. Clinical Rehabilitation, 21, 912-922.
- Loewen, S. & Anderson, B. (1990). Predictors of stroke outcome using objective measurement scales. Stroke, 21, 78-81.
- Mahoney, F. & Barthel, D. (1965). Functional evaluation: The Barthel Index. Maryland State Medical Journal, 14, 61-5.
- McDowell, I. & Newell, C. (1996). Measuring health: a guide to rating scales and questionnaires (pp. 63-67). (2nd Ed.), New York: Oxford University Press.
- McGinnis, G., Seward, M., DeJong, G., & Osberg, J. (1986). Program evaluation of physical medicine and rehabilitation departments using self-report Barthel. Archives of Physical Medicine and Rehabilitation, 14, 61-65.
- Oveisgharan, S. (2006, May). Barthel Index in a Middle East Country: Translation, Validity and Reliability. Poster presented at the European Stroke Conference, Brussels, Belgium.
- Oveisgharan, S., Shirani, S., Ghorbani, A., Soltanzade, A., Abdolmehdi, B., Hosseini, S. et al. (2006). Barthel Index in a middle-east country: Translation, validity and reliability. Cerebrovacular Disease, 22, 350-354.
- Patel, M., Coshall, C., Lawrence, E., Rudd, A., & Wolfe, C. (2001). Recovery from poststroke urinary incontinence: Associated factors and impact on outcome. Journal of the American Geriatrics Society, 49(9), 1229-1233.
- Pietra, G., Savio, K., Oddone, E., Reggiani, M, Monaco, F. & Leone, M. (2011). Validity and reliability of the Barthel Index administered by telephone. Stroke, 42, 2077-2079.
- Post, M., van Asbeck, F., van Dijk, A., & Schrijvers, A. (1995). [Dutch interview version of the Barthel Index evaluated in patients with spinal cord injuries]. Nederlands Tijdschrift voor Geneeskunde, 139(27), 1376-1380.
- Prosiegel, M., Bottger, S., & Schenk, T. (1996). Der Erwertiertr Barthel Index (EBI)-eine neue Skala zur Erfassung von Fahigkeitsstorungen bei neurologischen patieneten. Journal of Neurologic Rehabilitation, 1, 7-13.
- Rockwood, K., Stolee, P., & Fox, R. (1993). Use of goal attainment scaling in measuring clinically important change in the frail elderly. Journal of Clinical Epidemiology, 46, 1113-1118.
- Roy, C., Togneri, J., Hay, E., & Pentland, B. (1988). An inter-rater reliability study of the Barthel index. International Journal of Rehabilitation Research, 11, 67-70.
- Sainsbury, A., Seebass, G., Bansal, A., & Young, J. B. (2005). Reliability of the Barthel Index when used with older people. Age and Ageing, 34, 228-232.
- Salbach, N., Mayo, N., Higgins, J., Ahmed, S., Finch, L., & Richards, C. (2001). Responsiveness and predictability of gait speed and other disability measures in acute stroke. Archives of Physical Medicine and Rehabilitation, 82,(9), 1204-1212.
- Schepers, V., Ketelaar, M., Visser-Meily, J., Dekker, J & Lindeman, E. (2006). Responsiveness of functional health status measures frequently used in stroke research. Disability and Rehabilitation, 28, 1035-1040.
- Schonle, P. (1995). [The early rehabilitation Barthel Index-an early rehabilitation-oriented extension of the Barthel Index]. Rehabilitation (Stuttg), 34(2), 69-73.
- Shah, S., Vanclay, F.,& Cooper, B. (1989). Improving the sensitivity of the Barthel Index for Stroke rehabilitation. Journal of Clinical Epidemiology, 42, 703-709.
- Shinar, D., Gross, C., Bronstein, K., Licara-Gehr, E., Eden, D., Cabrera, A., et al. (1987). Reliability of the Activities of Daily Living Scale and its use in telephone interview. Archives of Physical Medicine and Rehabilitation, 68, 723-728.
- Sinoff, G. & Ore, L. (1997). The Barthel Activities of Daily Living Index: self-reporting versus actual performance in the old-old (> 75 years). Journal of American Geriatric Society, 45, 832-836.
- Skilbeck, C., Wade, D., Hewer, R., & Wood, V. (1983). Recovery after stroke. Journal of Neurology, Neurosurgery and Psychiatry, 46, 5-8.
- Spector, W. (1996). Functional disability scales. In: B. Spilker (Ed.), Quality of Life and Pharmacoeconomics in Clinical Trials (2nd edition, pp. 133-43). Philadelphia: Lippincott-Raven.
- Stone, S., Ali, B., Auberleek, I., Thompsell, A. & Young, A. (1994). The Barthel index in clinical practice: use on a rehabilitation ward for elderly people. Journal of the Royal College of Physicians of London, 28(5), 419-423.
- Sze, K., Wong, E., Leung, H. & Woo, J. (2001). Falls among Chinese stroke patients during rehabilitation. Archives of Physical Medicine and Rehabilitation, 82(9), 1219-1225.
- Tilling, K., Sterne, J. A., Rudd, A., Glass, T., Wityk, R. & Wolfe, C. (2001). A new method for predicting recovery after stroke. Stroke, 32, 2867.
- Valach, L., Signer, S., Hartmeier, A., Hofer, K., & Steck, G. C. (2003). Chedoke-McMaster stroke assessment and modified Barthel Index self-assessment in patients with vascular brain damage. International Journal of Rehabilitation Research, 26(2), 93-99.
- Van der Putten, J., Hobart, J., Freeman, J. & Thompson, A. (1999). Measuring change in disability after inpatient rehabilitation: comparison of the responsiveness of the Barthel Index and the Functional Independence Measure. Journal of Neurology, Neurosurgery and Psychiatry, 66, 480-484.
- Wade, D. & Hewer, R. (1987). Functional abilities after stroke: measurement, natural history, and prognosis. Journal of Neurology, Neurosurgery and Psychiatry, 50, 177-182.
- Wallace, D., Duncan, P. & Lai, S. (2002). Comparison of the responsiveness of the Barthel Index and the motor component of the Functional Independence Measure in stroke: the impact of using different methods for measuring responsiveness. Journal of Clinical Epidemiology, 55, 922-928.
- Wilkinson, P. Wolfe, C., Warburton, F., Rudd, A., Howard, R., Ross-Russell, R., et al. (1997). Longer term quality of life and outcome in stroke patients: is the Barthel index alone an adequate measure of outcome? Quality in Health Care, 6, 125-130.
- Wirotius, J. & Foucher-Barres, F. (1991). L’index de Barthel. Journal de Readaptation Medicale, 11(3), 183-187.
- Wolfe, C., Taub, N., Woodrow, E. & Burney, P. (1991). Assessment of scales of disability and handicap for stroke patients. Stroke, 22, 1242-1244.
- Wood-Dauphinee, S., Williams, J. & Shapiro, S. (1990). Examining outcome measures in a clinical study of stroke. Stroke, 21, 731-739.
- Wylie, C. (1967). Gauging the response of stroke patients to rehabilitation. Journal of American Geriatrics Society, 5, 797-805.
- Wyller, T., Sveen, U., & Bautz-Holter, E. (1995). The Barthel ADL Index One Year after Stroke: Comparison between Relatives’ and Occupational Therapist’s Scores. Age and Ageing, 24, 398-401.
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Copyright Information:
The Maryland State Medical Society (https://www.medchi.org/) holds the copyright for the Barthel Index. It may be used freely for non commercial purposes with the following citation: Mahoney FI, Barthel D. “Functional evaluation: the Barthel Index.” Maryland State Med Journal 1965;14:56-61. Used with permission. Permission is required to modify the Barthel Index or to use it for commercial purposes.