The Sock Test for evaluating activity limitation in patients with musculoskeletal pain.
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BACKGROUND AND PURPOSE: Assessment within rehabilitation often must reflect patients' perceived functional problems and provide information on whether these problems are caused by impairments of the musculoskeletal system. Such capabilities were examined in a new functional test, the Sock Test, simulating the activity of putting on a sock. SUBJECTS AND METHODS: Intertester reliability was examined in 21 patients. Concurrent validity, responsiveness, and predictive validity were examined in a sample of 337 patients and in subgroups of this sample. RESULTS: Intertester reliability was acceptable. Sock Test scores were related to concurrent reports of activity limitation in dressing activities. Scores also reflected questionnaire-derived reports of problems in a broad range of activities of daily living and pain and were responsive to change over time. Increases in age and body mass index increased the likelihood of Sock Test scores indicating activity limitation. Pretest scores were predictive of perceived difficulties in dressing activities after 1 year. CONCLUSION AND DISCUSSION: Sock Test scores reflect perceived activity limitations and restrictions of the musculoskeletal system. (+info)
Development of the physical therapy outpatient satisfaction survey (PTOPS).
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BACKGROUND AND PURPOSE: The purposes of this 3-phase study were (1) to identify the underlying components of outpatient satisfaction in physical therapy and (2) to develop a test that would yield reliable and valid measurements of these components. SUBJECTS: Three samples, consisting of 177, 257, and 173 outpatients from 21 facilities, were used in phases 1, 2, and 3, respectively. METHODS AND RESULTS: In phase 1, principal component analyses (PCAs), reliability checks, and correlations with social desirability scales were used to reduce a pool of 98 items to 32 items. These analyses identified a 5-component model of outpatient satisfaction in physical therapy. The phase 2 PCA, with a revised pool of 48 items, indicated that 4 components rather than 5 components represented the best model and resulted in the 34-item Physical Therapy Outpatient Satisfaction Survey (PTOPS). Factor analyses conducted with phase 2 and phase 3 data supported this conclusion and provided evidence for the internal validity of the PTOPS scores. The 4-component scales were labeled "Enhancers," "Detractors," "Location," and "Cost." Responses from subsamples of phase 3 subjects provided evidence for validity of scores in that the PTOPS components of "Enhancers," "Detractors," and "Cost" appeared to differentiate overtly satisfied patients from overtly dissatisfied patients. "Location" and "Enhancer" scores discriminated subjects with excellent attendance at scheduled physical therapy sessions from those with poor attendance. CONCLUSION AND DISCUSSION: In this study, we identified components of outpatient satisfaction in physical therapy and used them to develop a test that would yield valid and reliable measurements of these components. (+info)
Statistical inference by confidence intervals: issues of interpretation and utilization.
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This article examines the role of the confidence interval (CI) in statistical inference and its advantages over conventional hypothesis testing, particularly when data are applied in the context of clinical practice. A CI provides a range of population values with which a sample statistic is consistent at a given level of confidence (usually 95%). Conventional hypothesis testing serves to either reject or retain a null hypothesis. A CI, while also functioning as a hypothesis test, provides additional information on the variability of an observed sample statistic (ie, its precision) and on its probable relationship to the value of this statistic in the population from which the sample was drawn (ie, its accuracy). Thus, the CI focuses attention on the magnitude and the probability of a treatment or other effect. It thereby assists in determining the clinical usefulness and importance of, as well as the statistical significance of, findings. The CI is appropriate for both parametric and nonparametric analyses and for both individual studies and aggregated data in meta-analyses. It is recommended that, when inferential statistical analysis is performed, CIs should accompany point estimates and conventional hypothesis tests wherever possible. (+info)
Identifying homologous anatomical landmarks on reconstructed magnetic resonance images of the human cerebral cortical surface.
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Guided by a review of the anatomical literature, 36 sulci on the human cerebral cortical surface were designated as homologous. These sulci were assessed for visibility on 3-dimensional images reconstructed from magnetic resonance imaging scans of the brains of 20 normal volunteers by 2 independent observers. Those sulci that were found to be reproducibly identifiable were used to define 24 landmarks around the cortical surface. The interobserver and intraobserver variabilities of measurement of the 24 landmarks were calculated. These reliably reproducible landmarks can be used for detailed morphometric analysis, and may prove helpful in the analysis of suspected cerebral cortical structured abnormalities in patients with such conditions as epilepsy. (+info)
Making Medicaid managed care research relevant.
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OBJECTIVE: To help researchers better understand Medicaid managed care and the kinds of research studies that will be both feasible and of value to policymakers and program staff. The article builds on our experience researching Medicaid managed care to provide insight for researchers who want to be policy relevant. PRINCIPAL FINDINGS: We draw four lessons from our work on Medicaid managed care in seven states. First, these are complex programs that differ substantially across states. Second, each program faces common challenges and issues. The need to address common design elements involving program eligibility, managed care and provider contracting, beneficiary enrollment, education, marketing, and administration and oversight provides a vehicle that researchers can use to help understand states and to provide them with relevant insight. Third, well-designed case studies can provide invaluable descriptive insights. Such case studies suggest that providing effective descriptions of state programs and experience, monitoring information on program performance and tradeoffs, and insight on implementation and design are all valuable products of such studies that have considerable potential to be converted into policy-actionable advice. And fourth, some questions demand impact studies but the structure of Medicaid managed care poses major barriers to such studies. CONCLUSIONS: Many challenges confront researchers seeking to develop policy-relevant research on managed care. Researchers need to confront these challenges in turn by developing second-best approaches that will provide timely insight into important questions in a relatively defensible and rigorous way in the face of many constraints. If researchers do not, others will, and researchers may find their contributions limited in important areas for policy debate. (+info)
A taxonomy of health networks and systems: bringing order out of chaos.
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OBJECTIVE: To use existing theory and data for empirical development of a taxonomy that identifies clusters of organizations sharing common strategic/structural features. DATA SOURCES: Data from the 1994 and 1995 American Hospital Association Annual Surveys, which provide extensive data on hospital involvement in hospital-led health networks and systems. STUDY DESIGN: Theories of organization behavior and industrial organization economics were used to identify three strategic/structural dimensions: differentiation, which refers to the number of different products/services along a healthcare continuum; integration, which refers to mechanisms used to achieve unity of effort across organizational components; and centralization, which relates to the extent to which activities take place at centralized versus dispersed locations. These dimensions were applied to three components of the health service/product continuum: hospital services, physician arrangements, and provider-based insurance activities. DATA EXTRACTION METHODS: We identified 295 health systems and 274 health networks across the United States in 1994, and 297 health systems and 306 health networks in 1995 using AHA data. Empirical measures aggregated individual hospital data to the health network and system level. PRINCIPAL FINDINGS: We identified a reliable, internally valid, and stable four-cluster solution for health networks and a five-cluster solution for health systems. We found that differentiation and centralization were particularly important in distinguishing unique clusters of organizations. High differentiation typically occurred with low centralization, which suggests that a broader scope of activity is more difficult to centrally coordinate. Integration was also important, but we found that health networks and systems typically engaged in both ownership-based and contractual-based integration or they were not integrated at all. CONCLUSIONS: Overall, we were able to classify approximately 70 percent of hospital-led health networks and 90 percent of hospital-led health systems into well-defined organizational clusters. Given the widespread perception that organizational change in healthcare has been chaotic, our research suggests that important and meaningful similarities exist across many evolving organizations. The resulting taxonomy provides a new lexicon for researchers, policymakers, and healthcare executives for characterizing key strategic and structural features of evolving organizations. The taxonomy also provides a framework for future inquiry about the relationships between organizational strategy, structure, and performance, and for assessing policy issues, such as Medicare Provider Sponsored Organizations, antitrust, and insurance regulation. (+info)
Risk-adjusted capitation based on the Diagnostic Cost Group Model: an empirical evaluation with health survey information.
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OBJECTIVE: To evaluate the predictive accuracy of the Diagnostic Cost Group (DCG) model using health survey information. DATA SOURCES/STUDY SETTING: Longitudinal data collected for a sample of members of a Dutch sickness fund. In the Netherlands the sickness funds provide compulsory health insurance coverage for the 60 percent of the population in the lowest income brackets. STUDY DESIGN: A demographic model and DCG capitation models are estimated by means of ordinary least squares, with an individual's annual healthcare expenditures in 1994 as the dependent variable. For subgroups based on health survey information, costs predicted by the models are compared with actual costs. Using stepwise regression procedures a subset of relevant survey variables that could improve the predictive accuracy of the three-year DCG model was identified. Capitation models were extended with these variables. DATA COLLECTION/EXTRACTION METHODS: For the empirical analysis, panel data of sickness fund members were used that contained demographic information, annual healthcare expenditures, and diagnostic information from hospitalizations for each member. In 1993, a mailed health survey was conducted among a random sample of 15,000 persons in the panel data set, with a 70 percent response rate. PRINCIPAL FINDINGS: The predictive accuracy of the demographic model improves when it is extended with diagnostic information from prior hospitalizations (DCGs). A subset of survey variables further improves the predictive accuracy of the DCG capitation models. The predictable profits and losses based on survey information for the DCG models are smaller than for the demographic model. Most persons with predictable losses based on health survey information were not hospitalized in the preceding year. CONCLUSIONS: The use of diagnostic information from prior hospitalizations is a promising option for improving the demographic capitation payment formula. This study suggests that diagnostic information from outpatient utilization is complementary to DCGs in predicting future costs. (+info)
Organizational and environmental factors associated with nursing home participation in managed care.
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OBJECTIVE: To develop and test a model, based on resource dependence theory, that identifies the organizational and environmental characteristics associated with nursing home participation in managed care. DATA SOURCES AND STUDY SETTING: Data for statistical analysis derived from a survey of Directors of Nursing in a sample of nursing homes in eight states (n = 308). These data were merged with data from the On-line Survey Certification and Reporting System, the Medicare Managed Care State/County Data File, and the 1995 Area Resource File. STUDY DESIGN: Since the dependent variable is dichotomous, the logistic procedure was used to fit the regression. The analysis was weighted using SUDAAN. FINDINGS: Participation in a provider network, higher proportions of resident care covered by Medicare, providing IV therapy, greater availability of RNs and physical therapists, and Medicare HMO market penetration are associated with a greater likelihood of having a managed care contract. CONCLUSION: As more Medicare recipients enroll in HMOs, nursing home involvement in managed care is likely to increase. Interorganizational linkages enhance the likelihood of managed care participation. Nursing homes interested in managed care should consider upgrading staffing and providing at least some subacute services. (+info)