Improving Assessment of Work Related Mental Health Function Using the Work Disability Functional Assessment Battery (WD-FAB).

Purpose To improve the mental health component of the Work Disability Functional Assessment Battery (WD-FAB), developed for the US Social Security Administration's (SSA) disability determination process. Specifically our goal was to expand the WD-FAB scales of mood & emotions, resilience, social interactions, and behavioral control to improve the depth and breadth of the current scales and expand the content coverage to include aspects of cognition & communication function. Methods Data were collected from a random, stratified sample of 1695 claimants applying for the SSA work disability benefits, and a general population sample of 2025 working age adults. 169 new items were developed to replenish the WD-FAB scales and analyzed using factor analysis and item response theory (IRT) analysis to construct unidimensional scales. We conducted computer adaptive test (CAT) simulations to examine the psychometric properties of the WD-FAB. Results Analyses supported the inclusion of four mental health subdomains: Cognition & Communication (68 items), Self-Regulation (34 items), Resilience & Sociability (29 items) and Mood & Emotions (34 items). All scales yielded acceptable psychometric properties. Conclusions IRT methods were effective in expanding the WD-FAB to assess mental health function. The WD-FAB has the potential to enhance work disability assessment both within the context of the SSA disability programs as well as other clinical and vocational rehabilitation settings.

Improving measures of work-related physical functioning.

PURPOSE: To expand content of the physical function domain of the Work Disability Functional Assessment Battery (WD-FAB), developed for the US Social Security Administration's (SSA) disability determination process. METHODS: Newly developed questions were administered to 3532 recent SSA applicants for work disability benefits and 2025 US adults. Factor analyses and item response theory (IRT) methods were used to calibrate and link the new items to the existing WD-FAB, and computer-adaptive test simulations were conducted. RESULTS: Factor and IRT analyses supported integration of 44 new items into three existing WD-FAB scales and the addition of a new 11-item scale (Community Mobility). The final physical function domain consisting of: Basic Mobility (56 items), Upper Body Function (34 items), Fine Motor Function (45 items), and Community Mobility (11 items) demonstrated acceptable psychometric properties. CONCLUSIONS: The WD-FAB offers an important tool for enhancement of work disability determination. The FAB could provide relevant information about work-related functioning for initial assessment of claimants; identifying denied applicants who may benefit from interventions to improve work and health outcomes; enhancing periodic review of work disability beneficiaries; and assessing outcomes for policies, programs and services targeting people with work disability.

Work disability functional assessment battery: feasibility and psychometric properties.

OBJECTIVE: To assess the feasibility and psychometric properties of 8 scales covering 2 domains of the newly developed Work Disability Functional Assessment Battery (WD-FAB): physical function (PF) and behavioral health (BH) function. DESIGN: Cross-sectional study. SETTING: Community. PARTICIPANTS: Adults (N=973) unable to work because of a physical (n=497) or a mental (n=476) disability. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Each disability group responded to a survey consisting of the relevant WD-FAB scales and existing measures of established validity. The WD-FAB scales were evaluated with regard to data quality (score distribution, percentage of "I don't know" responses), efficiency of administration (number of items required to achieve reliability criterion, time required to complete the scale) by computerized adaptive testing (CAT), and measurement accuracy as tested by person fit. Construct validity was assessed by examining both convergent and discriminant correlations between the WD-FAB scales and scores on same-domain and cross-domain established measures. RESULTS: Data quality was good, and CAT efficiency was high across both WD-FAB domains. Measurement accuracy was very good for PF scales; BH scales demonstrated more variability. Construct validity correlations, both convergent and divergent, between all WD-FAB scales and established measures were in the expected direction and range of magnitude. CONCLUSIONS: The data quality, CAT efficiency, person fit, and construct validity of the WD-FAB scales were well supported and suggest that the WD-FAB could be used to assess PF and BH function related to work disability. Variation in scale performance suggests the need for future work on item replenishment and refinement, particularly with regard to the Self-Efficacy scale.

Difference, disparity, and disability: a comparison of health, insurance coverage, and health service use on the basis of race/ethnicity among US adults with disabilities, 2006-2008.

BACKGROUND: In the United States, research on health disparities has begun to include people with disabilities as a minority population. However, there is a gap in our knowledge of whether, and to what extent, racial and ethnic disparities may affect the health or health care access of people with disabilities. OBJECTIVES: We examined potential disparities in overall health, insurance coverage status, and health service use between non-Hispanic whites, non-Hispanic blacks, and Hispanics, among a nationally representative US sample of adults with and without disabilities (N=63,257), using both bivariate and multivariate methods. We tested 2 definitions of disparity. RESULTS: Under the more conservative definition, we confirmed the presence of both racial and ethnic disparities in overall health, total annual health care visits, and the percentage reporting no doctor visit during the year among people with less severe disabilities; Hispanics also evidenced a disparity in rates uninsured relative to non-Hispanic whites in this group. Racial/ethnic disparities were less common among persons with more severe disabilities that affected activities of daily living or instrumental activities. CONCLUSIONS: We conclude that the reduction of disparities between the populations of people with and without disabilities will require specific attention to racial and ethnic disparities in health, insurance coverage, and service use.

First in line: prioritizing receipt of Social Security disability benefits based on likelihood of death during adjudication.

BACKGROUND: Given the complexity of the adjudication process and volume of applications to Social Security Administration's (SSA) disability programs, many individuals with serious medical conditions die while awaiting an application decision. Limitations of traditional survival methods called for a new empirical approach to identify conditions resulting in rapid mortality. OBJECTIVE: To identify health conditions associated with significantly higher mortality than a key reference group among applicants for SSA disability programs. RESEARCH DESIGN: We identified mortality patterns and generated a survival surface for a reference group using conditions already designated for expedited processing. We identified conditions associated with significantly higher mortality than the reference group and prioritized them by the expected likelihood of death during the adjudication process. SUBJECTS: Administrative records of 29 million Social Security disability applicants, who applied for benefits from 1996 to 2007, were analyzed. MEASURES: We computed survival spells from time of onset of disability to death, and from date of application to death. Survival data were organized by entry cohort. RESULTS: In our sample, we observed that approximately 42,000 applicants died before a decision was made on their disability claims. We identified 24 conditions with survival profiles comparable with the reference group. Applicants with these conditions were not likely to survive adjudication. CONCLUSIONS: Our approach facilitates ongoing revision of the conditions SSA designates for expedited awards and has applicability to other programs where survival profiles are a consideration.

Conceptualizing disability in US national surveys: application of the World Health Organization's (WHO) International Classification of Functioning, Disability, and Health (ICF) framework.

PURPOSE: Disability data inform resource allocation and utilization, characterize functioning and changes over time, and provide a mechanism to monitor progress toward promoting and protecting the rights of individuals with disability. Data collection efforts, however, define and measure disability in varied ways. Our objective was to see how the content of disability measures differed in five US national surveys and over time. METHODS: Using the WHO ICF as a conceptual framework for measuring disability, we assessed the National Health Interview Survey (NHIS), Current Population Survey (CPS), Survey of Income and Program Participation (SIPP), National Survey of SSI Children and Families (NSCF), and American Community Survey (ACS) for their content coverage of disability relative to each of the four ICF components (i.e., body functions, body structures, activities and participation, and environment). We used second-level ICF three-digit codes to classify question content into categories within each ICF component and computed the proportion of categories within each ICF component that was represented in the questions selected from these five surveys. RESULTS: The disability measures varied across surveys and years. The NHIS captured a greater proportion of the ICF body functions and body structures components than did other surveys. The SIPP captured the most content of the ICF activities and participation component, and the NSCF contained the most content of the ICF environmental factors component. CONCLUSIONS: This research successfully illustrated demonstrated the utility of the ICF in examining the content of disability measures in five national surveys and over time.

Development of a computer-adaptive physical function instrument for Social Security Administration disability determination.

OBJECTIVES: To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing. DESIGN: Cross-sectional data collection; IRT analyses; CAT simulation. SETTING: Telephone and Internet survey. PARTICIPANTS: Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999). INTERVENTIONS: None. MAIN OUTCOME MEASURES: Model fit statistics, correlation, and reliability coefficients. RESULTS: IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults. CONCLUSIONS: The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.

Does postacute care site matter? A longitudinal study assessing functional recovery after a stroke.

OBJECTIVE: To determine the impact of postacute care site on stroke outcomes. DESIGN: Prospective cohort study. SETTING: Four northern California hospitals that are part of a single health maintenance organization. PARTICIPANTS: Patients with stroke (N=222) enrolled between February 2008 and July 2010. INTERVENTION: Not applicable. MAIN OUTCOME MEASURE: Baseline and 6-month assessments were performed using the Activity Measure for Post Acute Care (AM-PAC), a test of self-reported function in 3 domains: Basic Mobility, Daily Activities, and Applied Cognition. RESULTS: Of the 222 patients analyzed, 36% went home with no treatment, 22% received home health/outpatient care, 30% included an inpatient rehabilitation facility (IRF) in their care trajectory, and 13% included a skilled nursing facility (but not IRF) in their care trajectory. At 6 months, after controlling for important variables such as age, functional status at acute care discharge, and total hours of rehabilitation, patients who went to an IRF had functional scores that were at least 8 points higher (twice the minimally detectable change for the AM-PAC) than those who went to a skilled nursing facility in all 3 domains and in 2 of 3 functional domains compared with those who received home health/outpatient care. CONCLUSIONS: Patients with stroke may make more functional gains if their postacute care includes an IRF. This finding may have important implications as postacute care delivery is reshaped through health care reform.

Development of a self-report physical function instrument for disability assessment: item pool construction and factor analysis.

OBJECTIVES: To build a comprehensive item pool representing work-relevant physical functioning and to test the factor structure of the item pool. These developmental steps represent initial outcomes of a broader project to develop instruments for the assessment of function within the context of Social Security Administration (SSA) disability programs. DESIGN: Comprehensive literature review; gap analysis; item generation with expert panel input; stakeholder interviews; cognitive interviews; cross-sectional survey administration; and exploratory and confirmatory factor analyses to assess item pool structure. SETTING: In-person and semistructured interviews and Internet and telephone surveys. PARTICIPANTS: Sample of SSA claimants (n=1017) and a normative sample of adults from the U.S. general population (n=999). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Model fit statistics. RESULTS: The final item pool consisted of 139 items. Within the claimant sample, 58.7% were white; 31.8% were black; 46.6% were women; and the mean age was 49.7 years. Initial factor analyses revealed a 4-factor solution, which included more items and allowed separate characterization of: (1) changing and maintaining body position, (2) whole body mobility, (3) upper body function, and (4) upper extremity fine motor. The final 4-factor model included 91 items. Confirmatory factor analyses for the 4-factor models for the claimant and the normative samples demonstrated very good fit. Fit statistics for claimant and normative samples, respectively, were: Comparative Fit Index=.93 and .98; Tucker-Lewis Index=.92 and .98; and root mean square error approximation=.05 and .04. CONCLUSIONS: The factor structure of the physical function item pool closely resembled the hypothesized content model. The 4 scales relevant to work activities offer promise for providing reliable information about claimant physical functioning relevant to work disability.

Scale refinement and initial evaluation of a behavioral health function measurement tool for work disability evaluation.

OBJECTIVE: To use item response theory (IRT) data simulations to construct and perform initial psychometric testing of a newly developed instrument, the Social Security Administration Behavioral Health Function (SSA-BH) instrument, that aims to assess behavioral health functioning relevant to the context of work. DESIGN: Cross-sectional survey followed by IRT calibration data simulations. SETTING: Community. PARTICIPANTS: Sample of individuals applying for Social Security Administration disability benefits: claimants (n=1015) and a normative comparative sample of U.S. adults (n=1000). INTERVENTIONS: None. MAIN OUTCOME MEASURE: SSA-BH measurement instrument. RESULTS: IRT analyses supported the unidimensionality of 4 SSA-BH scales: mood and emotions (35 items), self-efficacy (23 items), social interactions (6 items), and behavioral control (15 items). All SSA-BH scales demonstrated strong psychometric properties including reliability, accuracy, and breadth of coverage. High correlations of the simulated 5- or 10-item computer adaptive tests with the full item bank indicated robust ability of the computer adaptive testing approach to comprehensively characterize behavioral health function along 4 distinct dimensions. CONCLUSIONS: Initial testing and evaluation of the SSA-BH instrument demonstrated good accuracy, reliability, and content coverage along all 4 scales. Behavioral function profiles of Social Security Administration claimants were generated and compared with age- and sex-matched norms along 4 scales: mood and emotions, behavioral control, social interactions, and self-efficacy. Using the computer adaptive test-based approach offers the ability to collect standardized, comprehensive functional information about claimants in an efficient way, which may prove useful in the context of the Social Security Administration's work disability programs.

Development of an instrument to measure behavioral health function for work disability: item pool construction and factor analysis.

OBJECTIVES: To develop a broad set of claimant-reported items to assess behavioral health functioning relevant to the Social Security disability determination processes, and to evaluate the underlying structure of behavioral health functioning for use in development of a new functional assessment instrument. DESIGN: Cross-sectional. SETTING: Community. PARTICIPANTS: Item pools of behavioral health functioning were developed, refined, and field tested in a sample of persons applying for Social Security disability benefits (N=1015) who reported difficulties working because of mental or both mental and physical conditions. INTERVENTIONS: None. MAIN OUTCOME MEASURE: Social Security Administration Behavioral Health (SSA-BH) measurement instrument. RESULTS: Confirmatory factor analysis (CFA) specified that a 4-factor model (self-efficacy, mood and emotions, behavioral control, social interactions) had the optimal fit with the data and was also consistent with our hypothesized conceptual framework for characterizing behavioral health functioning. When the items within each of the 4 scales were tested in CFA, the fit statistics indicated adequate support for characterizing behavioral health as a unidimensional construct along these 4 distinct scales of function. CONCLUSIONS: This work represents a significant advance both conceptually and psychometrically in assessment methodologies for work-related behavioral health. The measurement of behavioral health functioning relevant to the context of work requires the assessment of multiple dimensions of behavioral health functioning. Specifically, we identified a 4-factor model solution that represented key domains of work-related behavioral health functioning. These results guided the development and scale formation of a new SSA-BH instrument.

Conceptual foundation for measures of physical function and behavioral health function for Social Security work disability evaluation.

Physical and mental impairments represent the 2 largest health condition categories for which workers receive Social Security disability benefits. Comprehensive assessment of physical and mental impairments should include aspects beyond medical conditions such as a person's underlying capabilities as well as activity demands relevant to the context of work. The objective of this article is to describe the initial conceptual stages of developing new measurement instruments of behavioral health and physical functioning relevant for Social Security work disability evaluation purposes. To outline a clear conceptualization of the constructs to be measured, 2 content models were developed using structured and informal qualitative approaches. We performed a structured literature review focusing on work disability and incorporating aspects of the International Classification of Functioning, Disability and Health as a unifying taxonomy for framework development. Expert interviews provided advice and consultation to enhance face validity of the resulting content models. The content model for work-related behavioral health function identifies 5 major domains: (1) behavior control, (2) basic interactions, (3) temperament and personality, (4) adaptability, and (5) workplace behaviors. The content model describing physical functioning includes 3 domains: (1) changing and maintaining body position, (2) whole-body mobility, and (3) carrying, moving, and handling objects. These content models informed subsequent measurement properties including item development and measurement scale construction, and provided conceptual coherence guiding future empirical inquiry. The proposed measurement approaches show promise to comprehensively and systematically assess physical and behavioral health functioning relevant to work.

Linking job duties, functioning, and employment status using the Work-Disability Functional Assessment Battery (WD-FAB): An expert coding and quantitative analysis.

BACKGROUND: An understanding of the link between specific occupational demands and individual worker functioning is limited, although such information could permit an assessment of the fit between the two in a manner that would inform national and state disability programs such as vocational rehabilitation and Social Security disability programs. OBJECTIVE: Our goal was to examine the utility of assessing physical and mental functioning relative to self-reported job duties to identify the domains of worker functioning most likely to create barriers to fulfilling an occupation's specific requirements. METHODS: Through primary survey data collection, 1770 participants completed the Work-Disability Functional Assessment Battery (WD-FAB) instrument after reporting details on their occupations (or most recent occupation if not working). Expert coders evaluated the level of function expected to successfully carry out each self-reported job duty with respect to six scales of physical and mental function. Quantitative analysis is used to examine the relationship between functioning and job duties. RESULTS: Those not working due to disability were more likely to fall short of the threshold of the physical and mental functioning requirements of their last job's three main job duties compared to those currently employed. Mental function scales were most likely to be the area experiencing a shortfall. CONCLUSIONS: Functional difficulties impede the ability to continue working in particular jobs that require that ability. This points to a need for specific accommodations to be implemented to bridge the gap between job requirements and functional capacity so that workers may remain engaged in their current work.

Evaluation of patient and proxy responses on the activity measure for postacute care.

BACKGROUND AND PURPOSE: Our objective was to examine the agreement between adult patients with stroke and family member or clinician proxies in activity measure for postacute care (AM-PAC) summary scores for daily activity, basic mobility, and applied cognitive function. METHODS: This study involved 67 patients with stroke admitted to a hospital within the Kaiser Permanente of Northern California system and were participants in a parent study on stroke outcomes. Each participant and proxy respondent completed the AM-PAC by personal or telephone interview at the point of hospital discharge or during ≥1 transitions to different postacute care settings. RESULTS: The results suggest that for patients with a stroke proxy, AM-PAC data are robust for family or clinician proxy assessment of basic mobility function and clinician proxy assessment of daily activity function, but less robust for family proxy assessment of daily activity function and for all proxy groups' assessments of applied cognitive function. The pattern of disagreement between patient and proxy was, on average, relatively small and random. There was little evidence of systematic bias between proxy and patient reports of their functional status. The degree of concordance between patient and proxy was similar for those with moderate to severe strokes compared with mild strokes. CONCLUSIONS: Patient and proxy ratings on the AM-PAC achieved adequate agreement for use in stroke research when using proxy respondents could reduce sample selection bias. The AM-PAC data can be implemented across institutional as well as community care settings while achieving precision and reducing respondent burden.

Regularized Bayesian calibration and scoring of the WD-FAB IRT model improves predictive performance over marginal maximum likelihood.

Item response theory (IRT) is the statistical paradigm underlying a dominant family of generative probabilistic models for test responses, used to quantify traits in individuals relative to target populations. The graded response model (GRM) is a particular IRT model that is used for ordered polytomous test responses. Both the development and the application of the GRM and other IRT models require statistical decisions. For formulating these models (calibration), one needs to decide on methodologies for item selection, inference, and regularization. For applying these models (test scoring), one needs to make similar decisions, often prioritizing computational tractability and/or interpretability. In many applications, such as in the Work Disability Functional Assessment Battery (WD-FAB), tractability implies approximating an individual's score distribution using estimates of mean and variance, and obtaining that score conditional on only point estimates of the calibrated model. In this manuscript, we evaluate the calibration and scoring of models under this common use-case using Bayesian cross-validation. Applied to the WD-FAB responses collected for the National Institutes of Health, we assess the predictive power of implementations of the GRM based on their ability to yield, on validation sets of respondents, ability estimates that are most predictive of patterns of item responses. Our main finding indicates that regularized Bayesian calibration of the GRM outperforms the regularization-free empirical Bayesian procedure of marginal maximum likelihood. We also motivate the use of compactly supported priors in test scoring.

If we build it, who will come? Working-age adults with chronic health care needs and the medical home.

BACKGROUND: Currently, there is a call to implement and test the patient-centered medical home in adult populations, particularly among those with chronic conditions. However, the size, composition, and service use of the population who might require this coordinated care model need to be assessed, as does the way they are defined and identified. OBJECTIVES: Using nationally representative data from the 2002 to 2004 Medical Expenditure Panel Survey, we provide a preliminary profile of the population of working-age adults with chronic health care needs (ACHCN), including those with chronic health conditions and disabilities. RESULTS: ACHCN comprised the majority (52%) of the working-aged population. Relative to persons without chronic health care needs, they had significantly more service use, access problems, and 4 times more health care expenditures. Of the 2 disability groups within the larger population of ACHCN, those reporting need for help or supervision with activities of daily livings (ADLs) or instrumental ADLs (IADLs) had the highest rates/percentages of the following: mean chronic (3.5) and acute (4.4) conditions during the year, service use (all services), and access problems. The ADL/IADL-limited group reported annual medical expenditures totaling 100 billion dollars, more than what was spent on the entire working-age population without chronic health care needs. CONCLUSIONS: These data reveal the drawbacks of selecting the potential population targeted for a medical home on the basis of diagnosis alone. New measurement approaches on the basis of shared need for ongoing health and related services are required to bridge the division between disability and chronic health conditions.

Ongoing coverage for ongoing care: access, utilization, and out-of-pocket spending among uninsured working-aged adults with chronic health care needs.

OBJECTIVES: We sought to determine how part-year and full-year gaps in health insurance coverage affected working-aged persons with chronic health care needs. METHODS: We conducted multivariate analyses of the 2002-2004 Medical Expenditure Panel Survey to compare access, utilization, and out-of-pocket spending burden among key groups of persons with chronic conditions and disabilities. The results are generalizable to the US community-dwelling population aged 18 to 64 years. RESULTS: Among 92 million adults with chronic conditions, 21% experienced at least 1 month uninsured during the average year (2002-2004). Among the 25 million persons reporting both chronic conditions and disabilities, 23% were uninsured during the average year. These gaps in coverage were associated with significantly higher levels of access problems, lower rates of ambulatory visits and prescription drug use, and higher levels of out-of-pocket spending. CONCLUSIONS: Implementation of health care reform must focus not only on the prevention of chronic conditions and the expansion of insurance coverage but also on the long-term stability of the coverage to be offered.

The complex web of health: relationships among chronic conditions, disability, and health services.

OBJECTIVES: A critical issue in health-care reform concerns how to realign health-care delivery systems to manage medical care services for people with ongoing and costly needs for care. We examined the overlapping health-care needs of two such population groups among the U.S. working-age population (those aged 18-64 years): people with chronic medical conditions and people with disabilities. METHODS: Using the Medical Expenditure Panel Survey (2002-2004), we examined differences in health status, service use, and access to care among and between working-age adults reporting disabilities and/or one or more chronic conditions. We also analyzed people with three key chronic conditions: arthritis, diabetes, and depression. RESULTS: More than half of working-age people with disabilities reported having more than one chronic condition. Among those with activities of daily living or instrumental activities of daily living limitations, 35% reported four or more chronic conditions at a time. We found considerable variability in access problems and service use depending on how we accounted for the overlap of multiple conditions among people with arthritis, diabetes, and depression. However, disability consistently predicted higher emergency department use, higher hospitalization rates, and greater access problems. CONCLUSIONS: The overall prevalence of chronic conditions among the U.S. working-age population, coupled with the high concentration of multiple chronic conditions among those with disabilities, underscores the importance of reforming health-care delivery systems to provide person-centered care over time. New policy-relevant measures that transcend diagnosis are required to track the ongoing needs for health services that these populations present.

Differences in activities of daily living performance between long-term pediatric sarcoma survivors and a matched comparison group on standardized testing.

BACKGROUND: In a cross-sectional study examining late effects of pediatric sarcoma therapy, long-term survivors were evaluated on their activities of daily living (ADL) performance. PROCEDURE: Thirty-two persons with Ewing sarcoma family of tumors, rhabdomyosarcoma, and non-rhabdomysarcoma-soft tissue sarcoma enrolled an average of 17 years after treatment. Participants were evaluated using the Assessment of Motor and Process Skills (AMPS) 1, a standardized observational evaluation of ADL task performance. Means and 95% confidence intervals for ADL motor and ADL process ability measures were calculated for four groups: (1) sarcoma survivors, (2) "well" adults matched for age and gender, (3) "well" adults matched for gender that were 10 years older, and (4) "well" adults matched for gender that were 20 years older. RESULTS: ADL motor ability was significantly lower for sarcoma survivors than for the age- and gender-matched comparison group (P < 0.05). There was no significant difference between ADL motor ability of sarcoma survivors and the comparison group 10 years older, but sarcoma survivors had significantly better ADL motor ability (P < 0.05) than the oldest comparison group (20 years older). Sarcoma survivors had significantly worse ADL process ability than the age-matched group (P < 0.05). There was no difference in ADL process ability between the sarcoma survivors and comparison groups that were 10 and 20 years older. CONCLUSIONS: This first report of a clinical evaluation of ADL limitation in pediatric sarcoma survivors treated with intensive multimodal cancer therapy suggests that influences on performance of daily life activities are more common than previously reported.

Health of community-dwelling adults with mobility limitations in the United States: incidence of secondary health conditions. Part II.

OBJECTIVE: To compare incident health conditions that occurred over a 2-year period in nationally representative groups of adults with mobility, nonmobility, and no limitations. DESIGN: Data were collected prospectively from a probability subsample of households that represent the civilian, noninstitutionalized U.S. population. SETTING: Five rounds of household interviews were conducted over 2 years. PARTICIPANTS: Data were analyzed on the same respondents from the 1996-1997 Medical Expenditure Panel Survey (MEPS) and the 1995 National Health Interview Survey Disability Supplement. Respondents were categorized into 3 groups for analysis; those with mobility limitations, nonmobility limitations, and no limitations. The analytic sample included 12,302 MEPS adults (>/=18y). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Number, types, and 2-year incidence of self-reported health conditions compared across groups. RESULTS: The mean number of incident conditions (95% confidence intervals [CIs]) over the 2-year period was greatest in adults with mobility limitations (mean, 4.7; 95% CI, 4.4-4.9) compared with those with nonmobility limitations (mean, 3.9; 95% CI, 3.7-4.2) or no limitations (mean, 2.6; 95% CI, 2.5-2.7). Incident conditions affected most major body systems. CONCLUSIONS: Because secondary conditions are potentially preventable, determining factors that influence their occurrence is an important public health issue requiring specific action.