Health Constructs and Measurement

IV. Personal/Social/Environmental Status (Domains)

 

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Functional Limitations, Impairment, and Disability

Instrument Name and Original Reference

Instrument Description & Construct

Measured

Dimensions/

subscales

Indicator (Timing + Source of Data)

Variables (Number of Items, Scale, & Range)

Test Population

Instrument Reliability

Psychometric Review of Instrument Validity

Medical Outcomes Study 36-item Short Form Healthy Survey

(SF-36), Physical Functioning subscale

 

Ware, J.E. & Sherbourne, C.D. (1992). The MOS 36-Item Short Form Health Survey (SF-36): Conceptual framework and item selection. Medical Care, 30 (6), 473-483.

Assesses health concept of physical functioning, defined as limitations in physical activities because of health problems.

Designed for clinical practice & research, health policy eval, and general population surveys.

Physical functioning (PFS)

 (10 items, 21 levels) is one of eight subscales.

 

Self-administration by persons 14 years of age and older or for administration by a trained interviewer in person or by phone (different forms are required for each). Timing is present or current health.

Ordinal scales (Likert), summated ratings. Lower score indicates greater limitations. E.g. High score on physical functioning indicates “able to perform all types of physical activities including the most vigorous without limitations due to health”. 

 

Tested on a variety of patient populations.

 

Used corresponding full-length MOS scale as the criterion in testing.

PFS: 3-level response continuum of presence and extent of physical limitations. This subscale was retained uncut from MOS-LF, the parent scale.

 

Disability populations used:

Used extensively with a variety of populations with disabilities. The Center for Research on Women with Disabilities (CROWD) uses the SF-36 physical functioning scale in studies of women with physical disabilities.

 

Functional Systems Scale

(FSS)

Scheinberg, L., Feldman, J., Ratzker, P., et al. (1986). Self-assessment of neurological impairments in multiple sclerosis. Neurology, 36 (suppl 1), 284.

Measures health status for MS patients in eight areas of functioning. Total score can be broken into three parts to represent categories of functional disability (high, medium, and low).

Measures degree of difficulty in eight specific areas of function:

·      Weakness

·      Tremor

·      Double vision

·      Numbness

·      Bladder function

·      Memory

·      Spasticity

·      Ambulation

 

 

 

 

 

Disability populations used:

Schwartz, et al. (1999) used this scale with patients with multiple sclerosis to determine the impact of stress upon the course of the disease.

Schwartz, C.E., Foley, F.W., and Rao, S.M., et al. (1999). Stress and course of disease in multiple sclerosis. Behavioral Medicine, 25, 110-116.

 

Stanford Health Assessment Questionnaire Functional Disability Index (Stanford HAQ)

 

Fries, J.F., Spitz, P., Kraines, R.G., and Holman, H.R. (1980). Measurement of patient outcome in arthritis. Arthritis and Rheum., 23, 137-145.

 

Wolfe, F., Kleinheksel, S.M., Cathey, M.A, et al., (1988). The clinical value of the Stanford Health Assessment Questionnaire Functional Disability Index in patients with rheumatoid arthritis. Journal of Rheumatology, 15, 1480-14808.

 

Disability index of the HAQ assesses the degree of difficulty in eight functional areas. Measures severity of disease or disability and functional limitations.

 

Examines 8 dimensions of activities of daily living:

Dressing and grooming, getting up, eating, walking, hygiene, grip, reach, errands, and chores.

Self-report.

Responses for each area are scored from 0 (no difficulty) to 3 (inability to perform task). A summated score for each of the 8 dimensions is averaged to derive the total disability index (range: 0.0 to 3.0).

 

 

 

Disability populations used:

The HAQ is widely used in persons with a variety of conditions, including osteoarthritis (e.g., Lorig et al., 1989, Lorig et al., 1985)  and rheumatoid arthritis (e.g., Ward, 1994, Sarzi-Puttini, et al., 1995). Smedstad, Kvien, Moum, and Vaglum (1995) used the Stanford HAQ in a study of people with early rheumatoid arthritis to determine functional disability.

Lorig, K., Chastain, R.L., Ung, E., Shoor, S., and Holman, H., (1989). Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis and Rheumatism, 32 (1), 37-44.

Lorig, K., Lubeck, D., Kraines, R.G., Seleznick, M., Holman, H.R., (1985). Outcomes of self-help education for patients with arthritis. Arthritis and Rheumatism, 28 (6), 680-685.

Sarzi-Puttini, P., Fiorini, T., Panni, B., et al., (2002). Correlation of the score for subjective pain with physical disability, clinical and radiographic scores in recent onset rheumatoid arthritis. BMC Musculoskeletal Disorders, 3 (1), 18.

Smedstad, L.M., Kvien, T.K., Moum, T., and Vaglum, P. (1995). Life events, psychosocial factors, and demographic variables in early rheumatoid arthritis: Relations to one-year changes in functional disability. The Journal of Rheumatology, 22 (12), 2218-2225.

Ward, M.M. (1994). Are patient self-report measures of arthritis activity confounded by mood? A longitudinal study of patients with rheumatoid arthritis. The Journal of Rheumatology, 21 (6), 1046-1050.

 

Functional Limitations, as used in the National Health Interview Survey

 

 

 

 

 

Functional limitations were defined as the presence of difficulties in at least one of the following activities:

·      lifting 10 pounds

·      walking up 10 steps without resting

·      walking a quarter of a mile

·      standing for about 20 minutes

·      bending down from a standing position

·      reaching over the head or reaching out

·      using the fingers to grasp or handle something

·      holding a pen or pencil

 

 

 

Disability populations used:

National Health Interview Survey

 

Kurtze Expanded Disability Status Scale

 

Kurtze, J. (1983). Rating neurological impairment in multiple sclerosis: An Expanded Disability Status Scale (EDSS). Neurology, 33, 1444-1452.

Includes the Functional Systems Scale

 

 

 

 

 

 

Disability populations used:

Schwartz, et al. (1999) used the Functional Systems Scale, a subset of this scale, with patients with multiple sclerosis to determine the impact of stress upon the course of the disease.

Schwartz, C.E., Foley, F.W., and Rao, S.M., et al. (1999). Stress and course of disease in multiple sclerosis. Behavioral Medicine, 25, 110-116.

 

Incapacity Status Scale

(ISS)

 

(Kurtze, J.F., (1981). A proposal for a uniform minimal record of disability in multiple sclerosis. Acta Neurological Scandinavica, 64 (Supp. 87). 110-129.

Measures the severity of functional disability. Provides an objective measure of the degree of functional limitation (process of not being able to perform common activities or tasks such as bathing, dressing, and walking).

None.

Self-report

16 items, rated on a 5-point LIkert scale (0=normal functioning or no difficulty to 4= complete inability, dependence, or loss of control). One item measures comorbidity of other health conditions requiring medical treatment (0=no significant medical conditions, 4=medical conditions requiring daily attention by a physician or nurse). Scores range from 0 to 64.

 

Persons with multiple sclerosis.

Cronbach’s alpha = .87.

Evidence has been collected for construct validity.

Disability populations used:

The International Federation of Multiple Sclerosis Societies, a group of multiple sclerosis (MS) experts, endorsed the ISS for use in research on this population. The scale has been widely used in studies of persons with MS.  Stuifbergen, Seraphine, and Roberts (2000) used this scale in a study of persons with multiple sclerosis titled Health Promotion and Quality of Life in Chronic Illness; it was determined that the ISS measured incapacity for the MS population. Harrison and Stuifbergen (2001) used this scale in a study of disability, social support, and depressive symptoms in mothers with multiple sclerosis. This questionnaire has also been used in a study exploring secondary conditions and barriers to health in polio survivors (Harrison & Stuifbergen, 2001). Harrison and Stuifbergen report internal consistency (Cronbach’s alpha) in their study of polio survivors as .78. Roberts and Stuifbergen (1998) also used the ISS in a study of 936 participants with multiple sclerosis. They reported a range of 0 to 48, and an alpha coefficient of 0.87.

Harrison, T., and Stuifbergen, A., (2001). Barriers that further disablement: A study of survivors of polio. Journal of Neuroscience Nursing, 33 (3), 160-166.

Harrison, T., and Stuifbergen, A., (2001). Disability, social support, and concern for children: Depression in mothers with multiple sclerosis. Journal of Obstetric, Gynecologic, and Neonatal Nursing, 31 (4), 444-453.

Roberts, G., & Stuifbergen, A.K., (1998). Health appraisal models in multiple sclerosis. Social Science in Medicine, 47 (2), 243-253.

Stuifbergen, A., Seraphine, A., & Roberts, G., (2000). An explanatory model of health promotion and quality of life in chronic illness. Nursing Research, 49 (3), 122-129.

 

Osteoporosis Functional Disability Questionnaire (OFDQ)

 

Helmes, E., (2000). Function and disability or quality of life? Issues illustrated by the Osteoporosis Functional Disability Questionnaire (OFDQ). Quality of Life Research, 9, 755-761.

Measures major areas of function important to persons with osteoporosis. Also measures quality of life.

Five domains: pain (severity, impact, and frequency or pattern, 8 items), depression (20 items from CES-D), function in performing activities of daily living (ADLs) (26 items), socialization and financial situation (2 items), and confidence in exercise program (3 items).

Self-report.

59 items. Scoring is based upon scores for each domain. Scale does not provide a total score.

Older persons with spinal compression fractures resulting from osteoporosis, and healthy controls. The older persons with osteoporosis sample was divided into two groups: those who were regularly participating in exercise programs, and those who were not participating.

Acceptable levels of reliability. Test-retest reliabilities of the subscales range from 0.76 to 0.91. Internal consistency reliabilities were lower in the group participating in exercise programs than in persons not participating due to restriction in range of scores. Values of coefficient alpha ranged from 0.72 to 0.75 for pain subscale, from 0.81 to 0.87 for CES-D subscale, and 0.96 to 0.98 for ADL subscale.

Four out of the five subscales discriminated between healthy controls and people with compression fractures due to osteoporosis (confidence in the exercise program did not discriminate). The ADL, pain, and depression subscales correlated with ratings of severity of the spinal fractures. The OFDQ was sensitive to changes over time resulting form participating in the exercise program.

 

Disability populations used:

 

 

Activity Limitations

 

Campbell, M.L., Sheets, D., and Strong, P.S., (1999). Secondary health conditions among middle-aged individuals with chronic physical disabilities: Implications for unmet needs for services. Assistive Technology, 11, 105-122.

Assesses current activity limitations (IADLs in walking and mobility) and changes in the number of activity limitations in mobility (ADLs).

Four subsets of questions: IADL limitations-walking, IADL limitations- mobility, Change in ADLs- mobility, and Change in IADLS- mobility.

Self-report. Timing is current.

IADL limitations-walking: number of current IADLs with any difficulty, including walking 2-3 blocks in community, getting around in community, shopping, preparing meals, using phone, and managing medications.

Change in ADLs-mobility refer to change in number of ADLs with any difficulty including getting around in residence, bathing, dressing/grooming, transferring, eating, and using the toilet. Change in IADLs-mobility refers to change in number of IADLs with any difficulty.

 

 

 

 

Disability populations used:

Campbell, Sheets, and Strong used this measure in a study of middle-aged persons living with polio, rheumatoid arthritis, and stroke.

Campbell, M.L., Sheets, D., and Strong, P.S., (1999). Secondary health conditions among middle-aged individuals with chronic physical disabilities: Implications for unmet needs for services. Assistive Technology, 11, 105-122.

 

Health and Activities Limitation Index

(Livingston and Ko)

 

 

 

 

 

 

 

Disability populations used:

 

 

Disability Status

 

Harrison, T., & Stuifbergen, A., (2001). Barriers that further disablement: A study of survivors of polio. Journal of Neuroscience Nursing, 33 (3), 160-166.

“Disability” was defined in this study as the inability to perform social/societal roles.

N/A

Self-report and current timing.

Operationally defined by asking about employment status. Dichotomous variable (employed or unemployed); unemployed participants are categorized as disabled.

 

 

 

Disability populations used:

Harrison, T., and Stuifbergen, A., (2001). Barriers that further disablement: A study of survivors of polio. Journal of Neuroscience Nursing, 33 (3), 160-166.

 

 

Assistance required to accomplish daily activities

 

 

 

Self-report, present or current status.

Range of 0 to 3,

0 =  assistance needed all of the time

3= no assistance needed.

 

 

 

Disability populations used:

This measure was used by Stuifbergen and Becker (1994) in a sample of 117 people with disabilities.

 

Stuifbergen, A.K., and Becker, H.A., (1994). Predictors of health promoting lifestyles in persons with disabilities. Research in Nursing and Health, 17, 3-13.

 

International Classification of Impairments, Disabilities, and Handicaps (ICIDH), World Health Organization (1980).

Based upon the premise that there is no inherent relationship between disability and handicap.

 Considers disability, impairment, and handicap to be distinct categories; one may influence the other. (See schematic representation below).

Disease/condition is the specific medical problem.

Impairment is resulting physiological impairment, such as physical (neuromuscular or skeletal) impairment, visual, hearing, intellectual, or other impairments. Disability refers to behavior, communication, personal care, locomotor difficulties, body disposition, dexterity, and situational disabilities. Handicap is the actual limitation or disadvantage experienced.

 

 

 

 

 

Disability populations used:

Researchers at the Center for Research on Women with Disabilities use the ICIDH basis as part of the screening process for determining disability.

 

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Handicap

Instrument Name and Original Reference

Instrument Description & Construct

Measured

Dimensions/

subscales

Indicator (Timing + Source of Data)

Variables (Number of Items, Scale, & Range)

Test Population

Instrument Reliability

Psychometric Review of Instrument Validity

Craig Handicap Assessment & Reporting Technique original- (CHART)

 

(original)

 

Whiteneck, Charlifue, Gerhart, Overholser, & Richardson (1992). Quantifying Handicap: A New Measure of Long-Term Rehabilitation Outcomes. Archives of Physical Medicine & Rehabilitation 73 (June), 519-526.

Measures “handicap” NOT disability. Measures inability to fulfill 1 or more roles that are considered normal for age, gender, and culture. These include ability to orient to surroundings, physical independence, mobility, occupation (relative to age, sex and culture), social integration (participate and maintain relationships), and economic self-sufficiency.

 Based upon assumption that there is no inherent relationship between handicap, impairment, or disability

Mobility (M), (9 items),

Social Integration (SI), (6 items), Physical Independence (PI) (4 items)

Occupation, (O), (7 items), & Economic Self-Sufficiency (ESS), (3 items).

(note: orientation was not operationalized in this analysis).

 

Interview tool (face-to-face or phone). Instrument can be mailed but data may be lost in absence of interaction with interviewer providing consistent prompts. No set time period but multiple measurements should be taken over course of person’s lifetime.

37 items measuring “handicap”, with 100-point subscale for each dimension of handicap, which can be interpreted individually or totaled to give overall index of handicap. It is possible to earn >100 points for each subset, but max of 100 points is allowed, as 100 points indicates no handicap in that domain. Scores below 100 indicate some level of handicap.

n=135 patients with SCI, avg age 33 (range 16-74) with injuries >2 years to assess psychometrics. Only 16% women, n=41 complete quads, n= 38 incomplete quads, n=42 complete paras, n=14 incomplete paras. Norms established using n=88 able-bodied friends or associates of same age and gender; 23% were women and 77% male.

Initial application done with n = 342 former patients at Craig who have spinal cord injuries for > 1 year. avg age = 34 yrs, range (15-80). Only 15% were women. 60% had cervical injuries.

High test-retest reliability; r= .93 for total instrument.

Subscales: PI: r=.92

M: r=.95

O: r=.89

ESS: r=.80

SI: r=.81

Family members or other proxy for each SCI subject also asked CHART; subject-proxy correlations were .83 for total CHART; good agreement betw ratings of subjects & proxies achieved on all dimensions except SI, in which degree of agreement found to be related to how closely the proxy knew the subject.

PI: r=.80,

M: r=.84

O: r=.81

ES: r=.69

SI: r=.28 (still p<.001)

 

Validity was determined by performance in differentiating groups of subjects globally evaluated by rehab professionals as having high or low levels of handicap.; signif dif found between 2 group’s (low or hi) mean total CHART scores (high handicap x = 333, low-handicap x = 438, t=6.36, p<.001. 4 subscales were also signif dif: PI: t=4.54, p<.001, M: t=3.89, p<.001, O: t=6.80, p<.001, SI: t=2.02, p<.001; ESS not signif. Individual item analysis- Rasch: adjusted test SD=1.21 (>8x greater than root-mean-square calibration error of .15, indicating satisfactory separation of items along variable of handicap. Rasch analysis of item fit: x=0.0, SD=1.5 (relatively good fit of data to model). Only 2 items had item-fit t-value more than 2 (income and hours in school), indicating not always good match between handicap & poverty, or low handicap and time spent in school. Rasch demonstrated CHART is a well-calibrated linear scale, with good fit of both items and persons to data.

Items in each subscale analyzed separately; all items fit in subscale cluster, (no item had t-value for fit >1.2). Person-fit analysis also good match (fit-statistic x =0.0, SD=1.2).

Other Disability Populations:

Analysis for the original CHART was conducted on various disability populations, including SCI (Whiteneck, Tate, Charlifue, 1999, Boninger et al., 1998, Vogel, 1998, Waters, 1998, Whiteneck, 1996) TBI (Corrigan, et al., 1998, Brooks, Gabella, Hoffman, Sosin, & Whiteneck, 1997), stroke (Segal & Schall, 1995), MS, burn, and amputee populations. These additional analyses indicate that the CHART can be generalized to other disability populations.

Craig Handicap Assessment & Reporting Technique (CHART-R)

 

Guide for the Use of the CHART: Craig Handicap Assessment & Reporting Technique, Craig Hospital Research Department, 3425 S Clarkson St. Englewood, CO 80110.

CHART-R added Cognitive Independence, which is basically the construct of orientation that was never successfully operationalized in original measure.

Cognitive Independence (CI), 5 items, Mobility (M), (9 items),

Social Integration (SI), (6 items), Physical Independence (PI) (4 items)

Occupation, (O), (7 items), & Economic Self-Sufficiency (ESS), (3 items).

same

Same as above, with new subscale (CI) also contributing 100 points.

 

 

 

Craig Handicap Assessment & Reporting Technique Short Form

 

 (CHART-SF)

 

Craig Handicap Assessment & Reporting Technique- Short Form (CHART-SF), Craig Hospital Research Department, 3425 S Clarkson St. Englewood, CO 80110.

 

Introduction to the CHART Short Form. Center for Outcome Measurement in Brain Injury (COMBI);

http://www.tbims.org/combi/chartsf

 

 The CHART-SF is a shortened version of the CHART. Total of 19 items, compared to 32 in original CHART), with the same subscales as the original CHART. (The CHART-SF uses 17 items from the original 37-question chart, as well as 3 summary variables in the Social Integration subscale.)

Mobility (M), (3 items),

Social Integration (SI),  (6 items),

& Physical Independence (PI) (1 item),

Cognitive independence, (CI), (2 items), Occupation (O), 5 items), & Economic Self-Sufficiency, (ESS), 2 items).

Same as CHART:

Interview tool (face-to-face or phone). Instrument can be mailed but data may be lost in absence of interaction with interviewer providing consistent prompts. No set time period but multiple measurements should be taken over course of person’s lifetime.

19 items total summation of scores.

100-point subscale for each dimension of handicap, which can be interpreted individually or totaled to give overall index of handicap. It is possible to earn >100 points for each subset, but max of 100 points is allowed, as 100 points indicates no handicap in that domain. Scores below 100 indicate some level of handicap.

 

 

With 2 exceptions, the only variables that were selected to be in a subscale were those that entered into a stepwise regression model together explaining over 90% of the variance. Items were re-scored so that each subscale still would have a max of 100, but efforts were made to keep all the score weightings of the variables proportionate to the original weightings.

 

Other Disability Populations:

The main analysis used data for participants in the CHART validation, n=1,110 with various disabilities.

SCI: n=236; BI: n=242; MS: n=248; Stroke: n=223; Amputation: n=91; Burn: n=70.

The CHART-SF was then tested on 1800 persons in the BRFSS survey of Colorado residents, conducted in 1999, to establish norms for the general population.

CHART-SF has also been used with disability populations in other countries:

e.g. Dijkers et al., (2002) compared SCI populations in Turkey and USA.  Researchers at the Center for Research on Women with Disabilities also use the CHART in studies of stress, depression, and health promotion in women with physical disabilities.

Dijkers, Yavuzer, Ergin, Weitzenkamp, & Whiteneck, (2002). A Tale of Two Countries: Environmental Impacts on Social Participation After Spinal Cord Injury. Spinal Cord, 40 (7), 351-362.

 

Perceived Handicap Questionnaire

(PHQ)

 

Tate, D., Forcheimer, M., Maynard, F., & Dijkers, M., (1994). Predicting depression and psychological distress in persons with spinal cord injury based on indicators of handicap. American Journal of Physical Medicine and Rehabilitation, 73 (3), 175-183.

Measures respondents’ perceived ability to function in comparison with others with spinal cord injury and in comparison with nondisabled persons. Scores represent measures of the respondents’ perception of the extent to which they view themselves as “handicapped” along each of the CHART dimensions.

 

Self-report.

 

 

 

 

Disability populations used:

 

 

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 Chronic Illness

Instrument Name and Original Reference

Instrument Description & Construct

Measured

Dimensions/

subscales

Indicator (Timing + Source of Data)

Variables (Number of Items, Scale, & Range)

Test Population

Instrument Reliability

Psychometric Review of Instrument Validity

Demands of Illness Inventory (DOI)

 

Woods, N.F., Haberman, M.R., and Packard, N.J., (1993). Demands of illness and individual, dyadic, and family adaptation in chronic illness. Western Journal of Nursing Research, 15, 10-25.

 

Includes 5 items relating to “concern for children”

 

0=not at all

4=extremely

 

 

 

Disability populations used:

Stuifbergen, Seraphine, and Roberts (2000) used this scale in a study titled Health Promotion and Quality of Life in Chronic Illness. Harrison and Stuifbergen (2001) created a Concern for Children Scale based upon the five items relating to concern for children in the DOI; the Concern for Children Scale was administered to a group of mothers with MS. Cronbach’s alpha associated with this scale was .79 in this population.

 

Stuifbergen, A., Seraphine, A., & Roberts, G., (2000). An explanatory model of health promotion and quality of life in chronic illness. Nursing Research, 49 (3), 122-129.

Harrison, T., Stuifbergen, A., (2001). Disability, social support, and concern for children: Depression in mothers with multiple sclerosis. Journal of Obstetric, Gynecologic, and Neonatal Nursing, 31 (4), 444-453.

 

Acceptance of Illness Scale

 

Stuifbergen, A., Seraphine, A., & Roberts, G., (2000). An explanatory model of health promotion and quality of life in chronic illness. Nursing Research, 49 (3), 122-129.

 

Measures the degree to which an individual has accepted living with multiple sclerosis (MS).

None.

Self-report, current timing or present status.

14 items, Likert scale (1 = strongly agree, 5 = strongly disagree). Higher scores indicate greater acceptance.

Pilot tested with five individuals with MS, administered to a sample of 834 participants with MS responding to a  health promotion survey.

Internal consistency reliability was 0.83 in a sample of 834 participants with MS.

Reviewed for content validity and pilot tested in five persons with MS.

Disability populations used:

Stuifbergen, Seraphine, and Roberts (2000) developed this scale for use in a study of people with multiple sclerosis titled Health Promotion and Quality of Life in Chronic Illness.

 

Stuifbergen, A., Seraphine, A., & Roberts, G., (2000). An explanatory model of health promotion and quality of life in chronic illness. Nursing Research, 49 (3), 122-129.

 

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Employment

Instrument Name and Original Reference

Instrument Description & Construct

Measured

Dimensions/

subscales

Indicator (Timing + Source of Data)

Variables (Number of Items, Scale, & Range)

Test Population

Instrument Reliability

Psychometric Review of Instrument Validity

Health and Retirement Survey

 

2-parts:

1 question asks “currently working for pay”; second part assesses physical demands (physical effort, lifting heavy loads, stooping kneeling, or crouching).

 

2-parts:

1 question asks “currently working for pay”; second part assesses physical demands using three statements, a four-point Likert scale, and a nine-point score.

 

 

 

Other populations used:

Clark, Stump, and Wollnsky (1998) report a secondary analysis of the Health and Retirement Survey to identify predictors of onset and recovery from mobility difficulty in older adults.

 

Clark, D.O., Stump, T.E., Wollnsky, F.D., (1998). Predictors of Onset of and Recovery from Mobility Difficulty among Adults Aged 51-61 Years. American Journal of Epidemiology, 148 (1), 63-71.

 

Employment

 

 

 

Self-report, present or current status.

Dichotomous variable (0=not employed, 1= employed).

 

 

 

Disability populations used:

This measure was used by Stuifbergen and Becker (1994) in a sample of 117 people with disabilities.

 

Stuifbergen, A.K., and Becker, H.A., (1994). Predictors of health promoting lifestyles in persons with disabilities. Research in Nursing and Health, 17, 3-13.

 

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Education

Instrument Name and Original Reference

Instrument Description & Construct

Measured

Dimensions/

subscales

Indicator (Timing + Source of Data)

Variables (Number of Items, Scale, & Range)

Test Population

Instrument Reliability

Psychometric Review of Instrument Validity

Education

 

 

 

Self-report, present or current status.

Range of 0 to 6,

0 = less than 7th grade, 6= graduate degree.

 

 

 

Disability populations used:

This measure was used by Stuifbergen and Becker (1994) in a sample of 117 people with disabilities.

 

Stuifbergen, A.K., and Becker, H.A., (1994). Predictors of health promoting lifestyles in persons with disabilities. Research in Nursing and Health, 17, 3-13.

 

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Stressful Life Events

Instrument Name and Original Reference

Instrument Description & Construct

Measured

Dimensions/

subscales

Indicator (Timing + Source of Data)

Variables (Number of Items, Scale, & Range)

Test Population

Instrument Reliability

Psychometric Review of Instrument Validity

Holmes and Rahe Stressful Event Checklist

 

Holmes, T.H., and Rahe, R.H. (1967). The social readjustment rating scale. Journal of Psychosom Res., 11, 213-218.

 

 

 

Asks about 43 life change events experienced in the past 6 months.

 

 

 

 

Disability populations used:

Schwartz, et al. (1999) used this scale with patients with multiple sclerosis to determine the impact of stress upon the course of the disease.

 

Schwartz, C.E., Foley, F.W., and Rao, S.M., et al. (1999). Stress and course of disease in multiple sclerosis. Behavioral Medicine, 25, 110-116.

 

Life Event Interview.

(LEI)

Miller, P.M., & Salter, D.P. (1984). Is there a short-cut? Acta Psychiatr Scand, 70, 417-427.

Selected major life events with the association of desirability of each event.

 

Life events during the past 12 months.

List of 25 life events, with a scale of the desirability of each event. Events are divided into desirable and undesirable, then summed in each category.

 

 

 

Disability populations used:

Smedstad, Kvien, Moum, and Vaglum (1995) used the Life Event Interview in a study of how life events, psychosocial factors, and demographic variables are related to changes in functional disability in people with early rheumatoid arthritis.

 

Smedstad, L.M., Kvien, T.K., Moum, T., and Vaglum, P. (1995). Life events, psychosocial factors, and demographic variables in early rheumatoid arthritis: Relations to one-year changes in functional disability. The Journal of Rheumatology, 22 (12), 2218-2225.

 

Inventory of Small Life Events

(ISLE)

 

Zautra, A.J., Guarnaccia, C.A., and Dohrenwend,  B.P. (1986). Measuring small life events. American Journal of Community Psychology, 14, 629-655.

Frequency counts of weekly occurrence of events (both desirable and undesirable)

Several domains (e.g. spouse or significant other, family members, friends and acquaintenances, and employers, coworkers)

Weekly events

 

 

 

 

Disability populations used:

An abridged version of the ISLE was used by Zautra, Hoffman, Matt, et al.,(1998) in a study of stress in women with rheumatoid arthritis.

 

Zautra, A.J., Hoffman, J.M., Matt, K.S., et al., (1998). An examination of individual differences in the relationship between interpersonal stress and disease activity among women with rheumatoid arthritis.

 

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Abuse History

Instrument Name and Original Reference

Instrument Description & Construct

Measured

Dimensions/

subscales

Indicator (Timing + Source of Data)

Variables (Number of Items, Scale, & Range)

Test Population

Instrument Reliability

Psychometric Review of Instrument Validity

The Abuse Assessment Screen

(AAS)

 

Soeken, K.L., McFarlane, J., Parker, B., Lominack, M.C. (1998). Abuse Assessment Screen: A clinical instrument to measure frequency, severity, and perpetrator of abuse against women. Empowering Survivors of Abuse. J.C. Campbell, ed. Sage.

 

Brief four-question instrument suitable for use in clinical settings.

None.

Interviewer-administered (for screening purposes).

4 items.

 

 

 

Disability populations used:

The Center for Research on Women with Disabilities (CROWD) has developed a measure to supplement the AAS, the AAS-D, to measure disability-related violence. This measures adds two additional disability-related violence questions to the original 4-item measure.

 

Abuse Survey

 

Young, M.E., Nosek, M.A., Howland, C., et al., (1997). Prevalence of abuse of women with physical disabilities. Archives of Physical Medicine and Rehabilitation, 78, S34-S38.

Part of a larger survey on the health and well-being of women with physical disabilities. Qualitative survey measuring emotional abuse, physical abuse, and sexual abuse.

 

 

80 variables, two open-ended questions. If a woman reported having experienced abuse, she was asked to indicate the type of abuse, relationship to perpetrator, and at which age abuse began and ended. She was also asked to describe the experience including frequency and conclusion of the abusive experience.

 

 

 

Disability populations used:

The Center for Research on Women with Disabilities (CROWD) developed a survey to measure the various types of abuse in a large sample of women with and without physical disabilities.

Young, M.E., Nosek, M.A., Howland, C., et al., (1997). Prevalence of abuse of women with physical disabilities. Archives of Physical Medicine and Rehabilitation, 78, S34-S38.

 

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Social isolation

See II. Psychosocial Measures: Social Support

 

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