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1 Gertrude H. Sergievsky Center, 2
Department of Sociomedical Sciences
3 Department of Occupational Therapy, Columbia University, New York.
4 Research Division, Hebrew Home for the Aged & Stroud Center, New York State Psychiatric Institute, Riverdale.
Address correspondence to Steven M. Albert, PhD, MSc, A211 Crabtree Hall, Department of Behavioral and Community Health Sciences, University of Pittsburgh, Graduate School of Public Health, 130 DeSoto Street, Pittsburgh, PA 15261. E-mail: smalbert{at}pitt.edu
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Methods. We assessed clinician-rated IADL performance using an occupational therapy protocol, the Assessment of Motor and Process Skills (AMPS). AMPS and self-rated IADL disability were compared in two groups of nondemented elderly persons without ADL limitation: a group with functional limitation only (self-reported difficulty in some area of upper or lower body function, n = 139) and a group that reported functional limitation plus IADL disability (difficulty in at least one IADL task, n = 49). Occupational therapists were blind to self-reports, and all assessments were conducted in respondent homes.
Results. Self-rated IADL disability was significantly associated with the AMPS motor skill score (r = .34, p <.001), but the motor skill score was only moderately sensitive (61%) and specific (67%) in identifying self-rated disability. In adjusted logistic regression models, clinician-rated performance and self-rated IADL disability shared some physical predictors, but only clinician-rated performance was related to cognitive status. AMPS process skill scores did not relate to self-rated IADL disability or physical or cognitive status.
Conclusions. In this sample of older adults without dementia or ADL disability, clinician ratings of IADL motor skill and self-rated IADL disability were correlated. Physical deficits appear to be more salient in self-ratings than is cognitive ability, because cognitive ability (in particular, verbal fluency) was associated only with clinician-rated IADL performance.
In this research, we examined sources of IADL disability in a comparison of two groups of nondemented elderly persons, both drawn from a community sample: a group with functional limitation only (self-reported difficulty in some area of upper or lower body limitation, n = 139) (6,7), and a group that reported functional limitation plus IADL disability (difficulty in at least one IADL, n = 49). Neither group included people with disability in the ADLs, i.e., none reported difficulty in personal self-maintenance tasks, such as bathing. We examined the following questions: (i) Do older adults who report disability in IADLs perform tasks less efficiently, as rated by occupational therapists (OTs) blind to self-reports? (ii) Are self-reported IADL disability and clinician-rated IADL performance similarly related to underlying cognitive and physical abilities? and (iii) In what ways is discordance between self-reported IADL disability and clinician-rated IADL performance clinically meaningful?
| METHODS |
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SITE participants were selected from the larger pool of New York City elders followed in the Washington Heights-Inwood Columbia Aging Project (WHICAP). WHICAP is a population-based survey of Medicare beneficiaries residing in northern Manhattan, New York City (1013). Eighty-five percent of WHICAP participants who were eligible for SITE agreed to enroll in this additional study. An initial telephone interview established which tasks were to be completed in the AMPS occupational therapy assessment conducted during home visits. The telephone interview was followed within the week by a 90-minute in-home assessment. Between the telephone interview and home assessment, less than 2% of participants altered reports of disability in any task. All participants provide written informed consent, and the Columbia University Institutional Review Board approved the study protocol.
Self-Reported IADL Disability and Clinician-Rated IADL Performance
Self-reported disability was defined by a report of difficulty in performing at least one of six IADL (using the telephone, doing light housework, preparing light meals, doing light shopping, handling finances, managing medications).
Clinician-rated IADL performance was established in the Assessment of Motor and Process Skills (AMPS), a clinician rating of specific motor and cognitive skills used in IADL tasks (14). Several studies of the AMPS have provided evidence of reliability and high sensitivity and specificity for discriminating between disease severity groups (1518). OTs (all of whom completed a 5-day AMPS training program) conducted these assessments, which require respondents to perform a housekeeping and meal preparation task from a prespecified set of 54 tasks.
Following the AMPS protocol, OTs observed participants perform two tasks, and rated participants in a range of ergonomic domains. Motor skill domains include posture, mobility, coordination, strength and effort, and energy. Process skill domains include knowledge use, temporal organization, handling space and objects, and adaptation. In each domain, OTs provided multiple ratings on a 4-point scale (competent, questionable, ineffective, deficit).
An important advantage of the AMPS is its use of a Rasch measurement model. The Rasch model has been used to calibrate difficulty levels for the 54 tasks, establish difficulty levels for ratings of each skill item, and incorporate rater propensity to score participants more or less severely (established in the calibration period). AMPS software converts skill ratings in all domains for the two observed tasks into a single logit score on two underlying dimensions, a motor and a process skill dimension. This approach allows participants who perform different IADL tasks to be compared on common underlying ability dimensions.
Age-referenced norms for motor and process skill performance are available from AMPS developers (http://www.ampsintl.com/). Following test developer recommendations, we considered motor and process scores
1.0 standard deviation (SD) below age-referenced means to indicate inefficient performance, which we consider a performance-based indicator of IADL disability. For example, motor logit scores (which range from 3 to 4) below 2.07 (age 70), 1.91 (age 7176), 1.80 (age 7783), or 1.62 (age 84+) indicate performance 1 SD below the mean for the age group. Fisher (14) reports a normative sample of 16,000 people (across all ages) used in developing the AMPS. Use of alternative cut points (such as 1.5 and 2.0 SD below age means) did not alter sensitivity and specificity relative to self-reports.
All 188 people included in this analysis completed AMPS tasks in their homes. None performed at the AMPS motor or process ceiling score. The most frequently performed tasks (>10 people performing task) included sweeping the floor, mopping the floor, washing dishes by hand, preparing a salad, preparing a sandwich, and making coffee. The mean time to complete AMPS evaluations was 30 minutes.
Physical Performance
Lower-extremity tests assessed gait speed, balance, and strength and exercise tolerance (8). Gait was assessed with a 4-meter walk. Respondents were asked to walk at normal speeds, and the mean of two trials (in s) was computed. Static balance was assessed with progressively complex stances. Dynamic balance was assessed with the Functional Reach Test (19). In the chair stand test, respondents were asked to stand up from a chair, without using their arms, and sit five times in a row. Time to completion was recorded. Upper extremity tests included grip and pinch strength of both dominant and nondominant hands. Grip and pinch strength were assessed using a dynamometer and pinch gauge (Jamar, Sammons-Preston, Bolingbrook, IL). The results of two trials were averaged. All respondents were able to complete the timed gait assessment, and less than 10% were unable to complete one or more assessments of upper and lower extremity strength. Participants unable to complete tests were assigned a score that corresponded to the poorest 1% of performance in the sample distribution (20).
Cognitive Performance
By design, no SITE participant met criteria for dementia as determined in a consensus conference. As part of this determination, all participants completed a detailed neuropsychological evaluation. This 45-minute assessment was conducted by SpanishEnglish bilingual testers, and covered the domains of memory (Selective Reminding Test) (21), verbal fluency (frequency of words beginning with C, F, or L and animal naming) (22), executive function (Color Trails Test) (23), abstract reasoning (Similarities Test) (24), and psychomotor speed (Grooved Pegboard Test) (25). Tests of memory and language were converted to z scores and summed to create two composites, and participants were categorized by tertile of performance.
Environmental Assessment
Features of home environments were assessed with the Quality of Circumstances scale (26). This measure requires research assistants to rate the state of the household on a variety of dimensions, including general clutter and disrepair and adequacy of shelter.
Analyses
We compared respondents reporting only functional limitation to respondents reporting both functional limitation and IADL disability. Similarly, people with low motor skill on the AMPS (using the 1 SD criterion) were compared to people with higher scores. These comparisons involved chi-square tests for categorical measures and t tests for continuous distributions. Logistic regression models were developed to examine potential differences in predictors of self-reported and performance-based IADL disability. Collinearity diagnostics were examined to assess the appropriateness of models. Finally, we cross-classified self-reported IADL and clinician ratings of performance and used analysis of variance (ANOVA) models to compare discordant groups to groups in which clinician and self-report agreed. For a more strict comparison, we limited IADL disability to self-reports of difficulty with light housework or meal preparation, which are explicitly assessed in clinician AMPS ratings, and repeated analyses.
| RESULTS |
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The 188 nondemented older adults examined in this research were drawn from a larger pool of 213 who completed AMPS assessment. Only one person reported IADL disability in the absence of functional limitation, and we excluded this person along with 24 reporting ADL disability.
Do Older Adults Who Report Disability in IADL Perform Tasks Less Efficiently, as Rated by OTs Blind to Self-Reports?
AMPS motor efficiency scores were significantly lower in people reporting IADL disability (1.41 ± 1.1 vs 2.21 ±.97, p <.001). AMPS process scores did not significantly differ (1.50 ± 1.5 vs 1.53 ± 0.7, p =.81). The AMPS motor score and number of self-reported IADL disabilities (06) were significantly correlated (0.34, p <.001), indicating that people reporting more difficulty with IADL tasks had lower motor skill scores in IADL performance as observed by clinicians.
OTs observed motor performance below age-specific norms in 40.4% (76/188) of respondents and process skill deficits in 28.2% (53/188). Using performance < 1 SD below age norms as an indicator of IADL disability, clinician-rated motor performance was moderately sensitive (62%) and specific (67%) in identifying people reporting IADL disability. Clinician ratings of process skills were not significantly associated with self-reports.
Limiting IADL disability to reports of disability in light housework and cooking did not alter this relationship. Motor performance by clinician rating was significantly lower in people reporting disability in light housework or cooking (1.22 ± 1.3 vs 2.07 ± 1.0, p =.002). Process scores were again not significantly different. Clinician-rated performance was similarly sensitive (71%) and specific (63%) in identifying people reporting difficulty with cooking and cleaning.
Are Self-Reports and Clinician Ratings of Performance Similarly Related to Underlying Cognitive and Physical Abilities?
Table 1 presents sociodemographic, clinical, and home environment features of the sample by both IADL self-report and AMPS motor skill performance. The proportion reporting IADL disability was significantly higher in older (p <.05), less educated (p <.01), female (p <.05), and Hispanic (p <.05) participants. The proportion performing below age norms in AMPS motor performance did not differ by sociodemographic status. Similarly, the proportion reporting IADL disability was higher for people with pulmonary disease (p <.05) and diabetes (p <.05) compared to those without, but the proportion performing below age norms in AMPS motor performance did not significantly differ by disease status. Self-reports of IADL disability were higher in people with poorer home environments.
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Clinician ratings of poor motor performance in observed IADL tasks were associated with longer time (about 1 s) to complete the 4-meter walk in both self-report groups, as shown in Figure 1. Motor skill score was a significant predictor (p =.02) in ANOVA models that adjusted for age, gender, and self-report.
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| DISCUSSION |
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Although OT ratings of motor skill based on observed performance of IADL tasks were significantly related to self-reported IADL disability, discordance was common. Still, the AMPS motor skill assessment proved valuable in a number of ways.
First, self-reported IADL disability was associated with sociodemographic indicators, such as gender and raceethnicity. Clinician-rated motor skill derived from observed IADL performance was not. This finding suggests that response biases need to be considered in self-reports of IADL disability.
Second, in adjusted analyses only observed motor skill performance, not self-reported IADL disability, was related to cognitive ability. Low performance in verbal fluency is considered an indicator of deficit in executive function (27) and, in our sample, was associated with a 3-fold increase in the risk of OT ratings of poor motor skill. Consistent with our findings, deficits in verbal fluency have been shown to be a risk factor for mild cognitive impairment and Alzheimer's disease (28,29) as well as poor motor performance (30). In adjusted models, self-reported disability was associated with slower gait, but not verbal fluency, suggesting that deficits in physical performance may be more salient to nondemented older adults than are deficits in cognitive performance.
Third, the AMPS assessment was able to discriminate ability within self-report categories. For example, even among people not reporting IADL disability, elders with poor OT-rated motor skill were likely to walk slower than elders receiving better scores in the OT assessment.
Finally, discordance between OT assessment and self-report appears to be clinically important. Among people reporting disability despite adequate observed motor performance, home environments were significantly more challenging and thus a potential source of disability.
In contrast to findings related to the AMPS motor score, we did not find significant associations between the AMPS process score and self-reports or cognitive or physical indicators. The AMPS process score may be sensitive only across a wider range of disability.
Limitations in this research include its cross-sectional nature and narrow range of disability. The cross-sectional nature of this research does not allow a true test of progression from functional limitation to disability. Also, inclusion of a wider range of disability, including people without functional impairment and also people with ADL disability, will be useful for assessing the utility of the AMPS process score. Although this research shows that motor performance is only one of many elements of IADL competency, such assessment may still be valuable for understanding the risk of incident IADL disability (as in the case of people who demonstrated poor motor performance but did not report disability) and environmental sources of disability (as in the case of people who reported disability despite OT reports of adequate motor skill performance).
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Received April 13, 2005
Accepted February 24, 2006
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This article has been cited by other articles:
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S. M. Albert, J. Bear-Lehman, and A. Burkhardt Lifestyle-Adjusted Function: Variation Beyond BADL and IADL Competencies Gerontologist, June 8, 2009; (2009) gnp064v1. [Abstract] [Full Text] [PDF] |
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