Activity Card Sort (ACS)
Purpose
The Activity Card Sort (ACS) is an interview-based tool used to measure an individual’s participation
. The ACS can be used to gain information regarding a client’s activity patterns in order to support development of routines and participation
In-Depth Review
Purpose of the measure
The Activity Card Sort (ACS) measures an individual’s occupational performance. The ACS was originally developed in 1995 by Baum in response to the need to measure engagement in 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 older persons with Alzheimer’s disease (Eriksson et al., in press; Schreuer, Rimmerman & Sachs, 2006). The ACS was revised by Baum and Edwards in 2001 to include more 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.
for a broader population of older adults in a variety of settings. It can be used to monitor change in activity participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations. over time as a means of comparing premorbid engagement in 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.
with current activity participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations. (Baum, Perlmutter & Edwards, 2000; Hartman-Maeir, Soroker, Ring, Avni & Katz, 2007). The ACS is useful for initial assessment, goal setting and intervention planningPlanning ability involves anticipating future events, formulating a goal or endpoint, and devising a sequence of steps or actions that will achieve the goal or endpoint” (Anderson, 2008, p. 17)
or to monitor activity following onset of illness (Albert, Bear-Lehman & Burkhardt, 2009; Chan, Chung & Packer, 2006; Packer, Boshoff & DeJonge, 2008).
The ACS also provides information regarding factors such as:
- Creating an occupational history
- Recording changes in activity participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations. due to a chronic health condition, 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. or aging.
The ACS does not provide information regarding factors such as:
- Length of time spent engaged in 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.
- Frequency of participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations.
- Social interactions during activity participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations.
- Difficulty experienced while performing an activity (Baum et al., 2000; Katz, Karpin, Lak, Furman & Hartman-Meier, 2003)
Available versions
The Activity Card Sort, 2nd Edition has three versions:
- Community Living version for community-dwelling older adults
- Institutional version for older adults in a hospital, skilled nursing or rehabilitation hospital
- Recovery version for older adults recovering from an injury or disease.
Each version has the same set of photographs but uses different sorting strategies (Chan et al., 2006; Packer et al., 2008).
The original ACS has been modified to suit populations in Hong Kong, Israel, Puerto Rico, The Netherlands, Korea, Singapore and Australia (Chan et al., 2006; Erickkson et al., in press; Katz et al., 2003; Packer et al., 2008), and a checklist version has also been created (Everard, Lach, Fisher & Baum, 2000).
Alternate versions of the ACS are used for research and clinical purposes (Erickkson et al., in press; Katz et al., 2003). The institutional version is useful for developing intervention goals with a client and the recovering version can be used to monitor change in activity (Law, Baum & Dunn, 2005).
Features of the measure
Items:
The ACS uses a sorting methodology to assess activity participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations.. The original version of the ACS consisted of photographs of adults performing a variety of social, instrumental and leisure 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.
. The Activity Card Sort, 2nd Edition (Baum & Edwards, 2001, 2008) consists of 89 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.
across instrumental, low-physical-demand leisure, high-physical-demand leisure and social domains of human occupation.
The individual sorts the picture cards according to their engagement in each activity. Sort categories vary according to the version used:
Healthy older adult version:
- Never done
- Not done as an older adult
- Do now
- Do less
- Given up
Institutional version:
- Done prior to illness
- Not done
Recovering version:
- Not done before illness or injury
- Continued to due after illness or injury
- Do less after illness or injury
- Gave up due to illness or injury
- Beginning to do again (Baum & Edwards, 2008; Law et al., 2005).
Description of tasks:
The participant views photographs that depict an individual performing an activity and sorts these photographs into piles that represent their own level of engagement in the activity.
Following traditional use of the measure, the clinician can then support the individual to identify the five most important activities
from the list and explore factors that are limiting the individual’s engagement in those activities
, as a means of facilitating goal setting and intervention planning
(Chan et al., 2006).
What to consider before beginning:
The ACS can be used with individual’s caregiver in the event of cognitive difficulties (Baum et al., 2000; Katz et al., 2003).
Scoring and Score Interpretation:
The individual sorts the picture cards into categories, which vary according to the version used (see above). The clinician calculates a Retained Activity Score by dividing the sum total of current activities
by the sum total of previous activities
:
Current activities
/ Previous activities
= Retained Activity Score
The Retained Activity Score ranges from 0-100 and therefore reflects the percentage of activities
the person currently participates in, compared to premorbid involvement (Hartman-Maeir et al, 2003, 2007). A higher score reflects better maintenance of pre-stroke activity (Edwards et al., 2006). A score of 100 indicates that the individual has re-engaged in all premorbid activities
, while a score of 0 indicates that the individual has not re-engaged in any premorbid activities
, nor introduced any new activities
into his/her daily life (Lyons, Li, Tosteson, Meehan & Ahles, 2010).
The amount of activities
the individual has abandoned is calculated as an inverse of the Retained Activity Score:
1 – Retained Activity Score x 100 = Activity loss
Time:
The ACS takes approximately 20 – 30 minutes to administer.
Training requirements:
The ACS can be used by occupational therapists. No special training is required.
Subscales:
N/A
Equipment:
In addition to the photographs, the ACS includes:
- Test description and methodology
- Test development, validation and reliabilityReliability can be defined in a variety of ways. It is generally understood to be the extent to which a measure is stable or consistent and produces similar results when administered repeatedly. A more technical definition of reliability is that it is the proportion of “true” variation in scores derived from a particular measure. The total variation in any given score may be thought of as consisting of true variation (the variation of interest) and error variation (which includes random error as well as systematic error). True variation is that variation which actually reflects differences in the construct under study, e.g., the actual severity of neurological impairment. Random error refers to “noise” in the scores due to chance factors, e.g., a loud noise distracts a patient thus affecting his performance, which, in turn, affects the score. Systematic error refers to bias that influences scores in a specific direction in a fairly consistent way, e.g., one neurologist in a group tends to rate all patients as being more disabled than do other neurologists in the group. There are many variations on the measurement of reliability including alternate-forms, internal consistency , inter-rater agreement , intra-rater agreement , and test-retest .
- Administration and scoring instructions
- Examples of test utility
- References
- Easy-to-use sample forms on CD-ROM.
Alternative forms of the Assessment
Everard et al. (2000) developed a modified checklist version of the ACS. The Activity Checklist contains 55 items in the four domains of instrumental, social, low-demand physical leisure and high-demand physical leisure activities
. The Activity Checklist gathers information regarding an individual’s activity maintenance and engagement using the categories: (i) have never done the activity; (ii) have given up the activity; (iii) do the activity less often; or (iv) doing now (Edwards, Hahn & Dromerick, 2005). Frequency of participation
Katz et al. (2003) developed a version of the ACS to suit an Israeli population. This version has 88 picture cards with photographs that represent different ethnic groups. Two activities
from the original version were removed and eight culturally-relevant activities
were added. The activities
are organized within the four domains of IADLS (21 pictures), social-cultural activities
(21 pictures), low-physical leisure activities
(27 pictures) and high-physical leisure activities
(19 pictures).
Packer et al. (2008) developed a version of the ACS to suit an Australian population. The ACS-Australia includes 82 activities
, 12 of which are unique to the Australian version. Activities
are organized according to three domains of household (12 activities
), social/educational (24 activities
) and leisure (46 activities
).
Chan et al. (2006) developed a version of the ACS to suit a Hong Kong population, which resulted in a final list of 65 activities
relevant to Hong Kong Chinese elderly people.
Orellano (2008) developed a version of the ACS for a Puerto Rican population that comprised 82 activity cards relevant to the Puerto Rican lifestyle.
Versions of the ACS have also been developed for Korea, Singapore and the Netherlands, which include 79, 85 and 79 activities
respectively (Eriksson et al., in press).
Client suitability
Can be used with:
- Healthy elderly adults (Erickkson et al., in press)
- Older adults facing disability transitions (Albert et al., 2009)
- Individuals with Alzheimer’s Disease (Baum et al., 2000)
- Individuals with Multiple Sclerosis (Katz et al., 2003)
- Individuals following stem cell transplantation (Lyons et al., 2010)
- Individuals with cognitive loss or dementia (Baum, 1995; Erickkson et al., in press; Law et al., 2005)
- Individuals with cancer (Erickkson et al., in press)
- Individuals with PTSD (Erickkson et al., in press)
- Individuals who have speech difficulties (Law et al., 2005)
- Individuals with limited English language (Law et al., 2005)
- The caregiver or family member of the patient (Law et al., 2005).
- The ACS can be adapted for use with different cultures by modifying the pictures to be more culturally relevant, while maintaining the methodology of the measure (Katz et al., 2003).
Should not be used with:
- N/A
In what languages is the measure available?
Languages of the measure
- English
- Hebrew
- Spanish
- Korean
- Chinese
- Dutch
The ACS has been validated for use in the US, Israel, Australia, Hong Kong, Singapore, Puerto Rico and Korea (Erickkson et al., in press).
Summary
What does the tool measure? | Activity participation |
What types of clients can the tool be used for? | Older individuals who have experienced change in their activity participation |
Is this a screening or assessment tool? |
Assessment tool The ACS can also be used for goal setting and monitoring activity participation |
Time to administer | 20 – 30 minutes |
Versions | ACS Community Version (US) ACS Institutional Version (US) ACS Recovery Version (US) Activity Checklist (US) ACS (Israeli version) ACS – Australia ACS – Hong Kong ACS – Korean ACS – Puerto Rican ACS – Singapore ACS – The Netherlands |
Other Languages | Hebrew, Spanish, Korean, Chinese and Dutch |
Measurement Properties | |
Reliability |
Internal consistency – Two studies examined the Pearson’s correlation . – One study reported excellent Cronbach’s alpha. – One study reported adequate to excellent Cronbach’s alpha. Test-retest: – One study indicated excellent one-week test-retest reliability of the ACS US version. – One study reported excellent test-retest reliability of the ACS (checklist version). – One study reported excellent two-week test-retest reliability of the ACS-HK using the ICC. – One study reported excellent test-retest reliability of the PR-ACS using the ICC. Intra-rater: No studies have examined the intra-rater reliability of the ACS. Inter-rater: No studies have examined the inter-rater reliability of the ACS. |
Validity |
Content: – The ACS US version was developed in consultation with two groups of older adults living in the United States. – Subsequent versions of the ACS were developed based on the ACS US version and/or culturally-relevant activity lists, questionnaires or time-use surveys. All versions were reviewed by expert panels of healthy older adults and some versions were also reviewed by specialist health professionals. Criterion: Concurrent: One study reported excellent concurrent validity between the ACS US version and the ACS (checklist version). Predictive: – No studies have reported on the predictive validity of the ACS. – One study reported adequate concurrent validity between the ACS (Israeli version) and the Occupational Questionnaire. – One study reported adequate concurrent validity between the ACS-Aus and the Adelaide Activities Profile. Construct: One study reported satisfactory validity of the original ACS to measure previous activity engagement in a sample of individuals with Alzheimer’s disease. Convergent/Discriminant: – Two studies investigated convergent validity of the ACS US version. A significant association was reported with the Reintegration to Normal Living Index (RNLI). Significant correlations were reported with SF-12 factors. – One study reported adequate correlations between the ACS-Aus and the Personal Well-being Index (PWI). – One study reported excellent correlations between the ACS-HK and the Comprehensive Quality of Life scale (ComQoL). – One study reported excellent convergent validity between the PR-ACS and the Puerto Rican version of the RAND 36-Short Form Health Survey. Known Groups: – Two studies regarding the ACS (Israeli version) have reported satisfactory to excellent validity to differentiate among groups according to age, illness and carer roles, and satisfactory validity to identify differences between groups of young and older adults. – One study reported excellent validity of the ACS-HK to discriminate between clients presenting with different functional abilities. – One study reported satisfactory validity of the PR-ACS to discriminate between clients presenting with different levels of function. – One study reported satisfactory discriminative validity of the ACS-Aus. |
Floor/Ceiling Effects | N/A |
Sensitivity / Specificity |
No studies have explored the sensitivity /specificity of the ACS. |
Does the tool detect change in patients? | Yes – the ACS detects change in an individual’s participation |
Acceptability | Law et al. (2005) reported that the ACS US version is non-threatening and easy to understand. Katz et al. (2003) reported that the ACS (Israeli version) is user-friendly. |
Feasibility | Law et al. (2005) reported that the ACS US version can be modified to suit the target audience. Katz et al. (2003) reported that the ACS (Israeli version) is suitable for individuals with language difficulties. |
How to obtain the tool? | The ACS can be purchased from the AOTA online store: http://www.aota.org. |
Psychometric Properties
Overview
A literature search was conducted to identify all relevant publications on the psychometric properties of the assessment. Twelve articles have been reviewed, although studies relate to different versions of the Activity Card Sort.
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.:
Katz et al. (2003) 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 ACS (Israeli version) in 263 participants across five groups: healthy adults aged 50 – 65 (n=61); healthy older adults aged over 65 (n=61); spouses/caregivers of people with Alzheimer’s disease (n=40); people with Multiple Sclerosis (n=45); and people 1-year post-stroke (n=56). 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 ACS (Israeli version), as calculated using Cronbach’s Coefficient Alpha was excellent for Instrumental 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 (α=0.82) and social-cultural 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.
(α=0.80) but poor for low-physical leisure 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.
(α=0.66) and high-physical leisure 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.
(α=0.61). 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 both low and high physical leisure 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.
combined was adequate (α=0.77), which the authors considered may have been due to the larger number of items (52 collectively: 35 low-physical-demand 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.
and 17 high-physical-demand 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.
).
Sachs and Josman (2003) investigated correlations between demographic variables and mean scores of the ACS (Israeli version) in two age groups of young adults (mean age of 23.3 years, n=53) and older adults (mean age of 78.2 years, n=131). Using domains different to those of the original ACS, Pearson’s 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.
was calculated for five student group factors of instrumental 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 (α =0.84), maintenance (α =0.79), leisure (α =0.81), demanding leisure (α=0.83) and social recreation (α =0.73). The social recreation domain showed significant correlations with IADL, leisure and demanding leisure factors domains. Pearson’s 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.
was calculated for four elderly group factors of IADL (α =0.75), maintenance (α =0.90), leisure (α=0.70) and demanding leisure (α =0.86).
Chan et al. (2006) 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 ACS-HK in a group of 60 elderly individuals (mean age 74 years) who had experienced 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. a minimum of 6 months prior. 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., calculated using Cronbach’s alpha, was excellent (α= 0.89).
Orellano (2008) examined 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 PR-ACS in a group of healthy older adults (n=106) and a group of adults with Multiple Sclerosis (n=40). 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., calculated using Cronbach’s alpha, was excellent for the combined sample and the healthy older adult group (r=0.91), and was adequate for the group of individuals with multiple sclerosis (r=0.77).
Test-retest:
One-week 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 ACS US version in a community dwelling sample (n=20) was excellent (0.897) (Baum & Edwards, 2001). Lyons et al. (2010) noted that similar results have been reported for 14-day and 30-day 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).
.
Everard et al. (2000) 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 ACS (checklist version) on a sample of 20 community-dwelling older adults. Excellent 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).
was found for all categories after 74 days (IADL, 0.95; social, 0.83; low-demand leisure, 0.91; and high demand leisure, 0.88).
Chan et al. (2006) examined 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 ACS-HK in two groups of elderly individuals who had experienced 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. a minimum of 6 months prior (less active group, n=30; more active group, n=30). Two-week 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).
, as calculated using the intra-class 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 was excellent for the total group (ICC=0.98). Individual group analysis also revealed excellent 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).
for both groups (less active group ICC=0.91; more active group ICC=0.96).
Orellano (2008) examined 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 PR-ACS in a group of healthy older adults (n=106) and a group of adults with Multiple Sclerosis (n=40). 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).
, as calculated using the intra-class 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 was excellent (ICC=0.82).
Intra-rater:
Intra-rater reliabilityThis is a type of reliability assessment in which the same assessment is completed by the same rater on two or more occasions. These different ratings are then compared, generally by means of correlation. Since the same individual is completing both assessments, the rater’s subsequent ratings are contaminated by knowledge of earlier ratings.
has not yet been examined.
Inter-rater:
Inter-rater reliability
has not yet been examined.
Validity
Content:
The original version of the ACS was shown to two groups of older adults living in the United States (first sample n=120; second sample n=40). Feedback obtained from the sample groups resulted in the inclusion of another 7 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.
, increasing the number 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.
to 80 (Law et al., 2005).
The ACS (Israeli version) was developed by modifying a translated version of the ACS US in consultation with a convenience sample of healthy adults and older adults (n=50). The final 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.
were photographed to depict individuals of different ethnic groups represented within the Israeli population (Katz et al., 2003).
The PR ACS and ACS – Singapore were developed using a translated version of the ACS US, in consultation with a convenience sample of healthy older adults from Puerto Rico and Singapore (respectively). The PR ACS was also reviewed by an expert panel. The resultant selection of culturally-relevant 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.
was re-photographed to depict individuals from the respective populations (Erikkson et al., in press).
The ACS – HK was developed from a list of generationally- and culturally-relevant 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.
, which was reviewed by two successive expert panels of community-dwelling older adults (first sample n=15; second sample n=15) and a purposive sample of geriatric-specialist healthcare professionals (n=5). The final 65 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.
are represented in photographs of older adults performing the tasks in Hong Kong (Chan et al., 2006).
The ACS – Netherlands was developed from a questionnaire completed by a sample of older adults regarding common 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.
and perceived importance 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.
(Erikkson et al., in press). The resultant 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.
were depicted using photographs of local individuals. The ACS – Netherlands was pilot-tested with specialist health care professionals and elderly patients (Erikkson et al., in press).
The ACS – Australia was developed by a two-round Delphi Survey method with a sample of older Australian adults (n=54), using 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.
from the US and Israeli versions and information from time diaries regarding common daily 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.
(Packer et al. 2008).
The ACS – Korea was developed using information from a literature review and a time-use survey. The resultant list 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.
was evaluated and refined by a panel of experts (Erikkson et al., in press).
Criterion:
Concurrent :
Everard et al. (2000) conducted a comparison of the original ACS with the Activity Checklist on a pilot sample of 20 community-dwelling older adults. 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.”
was reported between the original and checklist versions of the ACS (instrumental: 0.90; social: 0.78; low-demand leisure: 0.82; high-demand leisure: 0.72).
Katz et al. (2003) assessed 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 the ACS (Israeli version) category “doing now” by comparison with the Occupational Questionnaire in 263 adults within five groups including healthy adults aged 50 – 65, healthy older adults aged over 65, spouses/caregivers of people with Alzheimer’s disease, people with Multiple Sclerosis and people 1-year post-stroke. Results indicated adequate 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.”
(r=0.54), 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.
coefficient.
Doney & Packer (2008) assessed 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 the ACS-Aus in 93 metropolitan-based adults aged 60 to 95 years. As there is no gold standardA measurement that is widely accepted as being the best available to measure a construct.
for comparison, the authors assessed the direction, strength and significance of 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 the Current (retained) Activity Level scores of the ACS-Aus and the Adelaide 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.
Profile. A significant, adequate 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.
(r=0.434, P=0.000) was found using Pearson-product moment analysis.
Predictive:
No studies have reported on the predictive validityA form of criterion validity that examines a measure’s ability to predict some subsequent event. Example: can the Berg Balance Scale predict falls over the following 6 weeks? The criterion standard in this example would be whether the patient fell over the next 6 weeks.
of the ACS.
Construct:
Baum (1995) examined the validityThe degree to which an assessment measures what it is supposed to measure.
of the original ACS with a sample of individuals with varying stages of Alzheimer’s disease (n=60). Scores of previous activity level did not differ significantly across the stages of the disease (F=0.66, p=0.419), indicating that the ACS was a valid measure of previous activity engagement.
Convergent/Discriminant :
Everard et al. (2000) examined the relationship between engagement and functioning using the ACS and the SF-12 with a sample of 244 community-dwelling adults aged 65 years and older. A significant positive association was seen between physical health and maintenance of instrumental 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.
(p=0.006), social 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.
(p=0.0001) and high demand leisure 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.
(p=0.0001). A significant positive association was seen between mental health and maintenance of low-demand leisure 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.
(p=0.0001) only. A significant negative association was found between physical health and maintenance of low-demand leisure 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.
(p=0.015).
Edwards et al. (2006) examined the relationship between life satisfaction and participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations. using the Reintegration to Normal Living Index (RNLI) and ACS (percentage of retained pre-stroke 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.
) with a sample 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. (n=219). An association was seen between life satisfaction and participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations. in meaningful activity (β=0.14, p=0.001).
Doney & Packer (2008) assessed 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 ACS-Aus by comparison with the Personal Well-being Index (PWI) in 93 metropolitan-based adults aged 60 to 95 years. 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.
between the ACS-Aus current activity level scores and the PWI total score was 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.
coefficient and was found to be adequate (r=0.354, P=0.01), indicating a positive relationship between participationAs defined by the International Classification of Functioning, Disability and Health, participation is an individual’s involvement in life situations in relation to health conditions, body functions or structures, activities, and contextual factors. Participation restrictions are problems an individual may have in the manner or extent of involvement in life situations. and well-being. The authors noted that this 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.
was likely weakened by a potential ceiling effectA ceiling effect occurs when test items aren’t challenging enough for a group of individuals. Thus, the test score will not increase for a subsample of people who may have clinically improved because they have already reached the highest score that can be achieved on that test. In other words, because the test has a limited number of difficult items, the most highly functioning individuals will score at the highest possible score. This becomes a measurement problem when you are trying to identify changes – the person may continue to improve but the test does not capture that improvement. Example: A memory test that assesses how many words a participant can recall has a total of five words that each participant is asked to remember. Because most individuals can remember all five words, this measure has a ceiling effect. See also “floor effect.” from the PWI as many participants rated an extremely high quality of life despite normal distribution of the measure.
Chan et al. (2006) evaluated 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 ACS-HK by comparison with the Comprehensive Quality of Life scale (ComQoL) in 60 elderly adults (mean age 74 years) who had experienced 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. a minimum of 6 months prior. 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.
as calculated by Pearson’s 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, was excellent (r=0.86, p=0.00), indicating a significant positive relationship between retained activity as measured by the ACS-HK and quality of life as measured by the ComQoL.
Orellano (2008) evaluated 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 PR-ACS by comparison with the Puerto Rican version of the RAND 36-Short Form Health Survey in healthy older adults (n=106) and adults with Multiple Sclerosis (n=40). 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.
, as calculated by Pearson’s 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, was excellent (r=0.66, p=0.00).
Known Group:
Sachs and Josman (2003) reported satisfactory discriminative validity
of the ACS (Israeli version), to identify differences between groups of young and older adults.
Katz et al. (2003) examined the construct validity
of the ACS (Israeli version) in five groups including: healthy adults aged 50 – 65 (n=61); healthy older adults aged over 65 (n=61); spouses/caregivers of people with Alzheimer’s disease (n=40); people with Multiple Sclerosis (n=45); and people 1-year post-stroke (n=56). The mean Retained Activity (RAC) scores and Current Activity Level (CAL) scores were compared by one-way ANOVA. Significant group effects (p<0.0001) were found between groups on all activity areas (IADL, social-cultural activities
, low-physical activities
, high-physical activities
and totals), indicating excellent construct validity
to differentiate among groups according to age, illness and carer roles. Post hoc (Scheffe) tests showed significant differences between most groups. Specific to the stroke
compared to caregivers, and on high-physical leisure activities
compared to individuals with multiple sclerosis.
Chan et al. (2006) examined the construct validity
of the ACS-HK in two groups of elderly individuals who had experienced a stroke
Orellano (2008) examined known-group validity
of the PR-ACS in a group of healthy older adults (n=106) and a group of adults with Multiple Sclerosis (n=40) and reported that the PR-ACS is able to differentiate between clients with different levels of function (t=0.86; p=0.00).
Doney & Packer (2008) reported strong discriminative validity
of the ACS-Aus by comparing current Retained Activity Scores between a younger group of adults aged 60-75 years (n=48) and an older group of adults aged 76-95 years (n=45) living within a metropolitan area. A significant difference was found between the two groups (P=0.000) using independent t-test analysis. Power greater than 90% was revealed by post-hoc power analysis.
Responsiveness
No studies have examined the responsivenessThe ability of an instrument to detect clinically important change over time.
of the ACS.
References
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See the measure
How to obtain the assessment:
The assessment can be purchased online at the American Occupational Therapy Association online store: http://www.aota.org.
A spain version is available in the following article