Review articleCase-mix measurement in medical rehabilitation
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Cited by (23)
Factors influencing selection for rehabilitation after stroke: A questionnaire using case scenarios to investigate physician perspectives and level of agreement
2012, Archives of Physical Medicine and RehabilitationCitation Excerpt :In several health services, more than 1 physician completed the survey; however, we did not have data on the total number of physicians working in rehabilitation in each health service. It has been recognized in the literature that the process of selection for rehabilitation may lead to inequities of access for patients with stroke.7 Evidence for variation in the rate of discharge from the acute hospital setting to nursing home care after stroke, after adjusting for casemix, has been demonstrated by Portelli et al.4 Ilett et al6 demonstrated variations in the proportion of patients discharged from acute hospitals to rehabilitation versus home or nursing home.
Selecting Patients for Rehabilitation After Acute Stroke: Are There Variations in Practice?
2010, Archives of Physical Medicine and RehabilitationDisease classification systems in rehabilitation for out-patients
2006, RehabilitacionMeasuring medical complexity during inpatient rehabilitation after traumatic brain injury
2005, Archives of Physical Medicine and RehabilitationPredicting follow-up living setting in patients with stroke
2002, Archives of Physical Medicine and RehabilitationCitation Excerpt :A summary of the national data set for the United States is published annually and provides benchmarks for functional daily living skills and related information, such as LOS, for a variety of conditions important to interdisciplinary rehabilitation.4,12 In recent years, the information in the UDSMR has been used to predict LOS and develop the basis for a case-mix adjusted prospective payment system in medical rehabilitation.16,17 The system has been extensively reviewed by the Health Care Financing Administration (HCFA, now Centers for Medicare and Medicaid Services) and is referred to as FRGs.18,19
Supported in part by the National Institutes of Health, grant K08-AG00487 from the National Institute on Aging and grant RO1 HS07595 from the Agency for Health Care Policy and Research. The opinions and conclusions of the author are not necessarily those of the sponsoring agencies.
No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the authors or upon any organization with which the authors are associated.