Literature DB >> 15024335

Risk adjusting rehabilitation outcomes: an overview of methodologic issues.

Lisa I Iezzoni1.   

Abstract

The complexity and mix of rehabilitation patients varies across clinicians and institutions. Comparisons of outcomes across providers must therefore adjust for differences in risk factors across patient populations. Research on risk adjustment has generally focused on acute care hospital outcomes, although techniques for risk adjusting financial outcomes are fairly well developed in rehabilitation, primarily to support Medicare and other prospective payment systems. This article reviews important methodologic issues in risk adjusting rehabilitation outcomes in observational studies of routine clinical practice or for management, such as assessing quality or costs of care. Risk adjusting rehabilitation outcomes is more difficult than risk adjusting other clinical results, such as outcomes of many acute care services. At the outset, characterizing rehabilitation interventions is frequently difficult. Furthermore, outcomes are diverse and depend on myriad factors, including patients' physical and cognitive abilities, underlying medical diseases, sensory and emotional factors, willingness to participate in care, and supportive environments. No risk-adjustment approach can control for every factor affecting outcomes of care. Knowing which risk factors are missing helps guide interpretation of the results and determines how well risk-adjusted outcomes fairly compare providers or treatments.

Entities:  

Mesh:

Year:  2004        PMID: 15024335     DOI: 10.1097/01.phm.0000118041.17739.bb

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  15 in total

1.  The effect of complementary and alternative medicine claims on risk adjustment.

Authors:  Bonnie K Lind; Chad Abrams; William E Lafferty; Paula K Diehr; David E Grembowski
Journal:  Med Care       Date:  2006-12       Impact factor: 2.983

2.  Improving quality assessment through multilevel modeling: the case of nursing home compare.

Authors:  Greg Arling; Teresa Lewis; Robert L Kane; Christine Mueller; Shannon Flood
Journal:  Health Serv Res       Date:  2007-06       Impact factor: 3.402

3.  Benchmarking physical therapy clinic performance: statistical methods to enhance internal validity when using observational data.

Authors:  Linda Resnik; Dawei Liu; Dennis L Hart; Vince Mor
Journal:  Phys Ther       Date:  2008-08-08

4.  Disparities in post-acute rehabilitation care for joint replacement.

Authors:  Janet K Freburger; George M Holmes; Li-Jung E Ku; Malcolm P Cutchin; Kendra Heatwole-Shank; Lloyd J Edwards
Journal:  Arthritis Care Res (Hoboken)       Date:  2011-07       Impact factor: 4.794

5.  Comparison of 2 Multimodal Interventions With and Without Whole Body Vibration Therapy Plus Traction on Pain and Disability in Patients With Nonspecific Chronic Low Back Pain.

Authors:  Gianni F Maddalozzo; Brian Kuo; Walker A Maddalozzo; Conner D Maddalozzo; Johnny W Galver
Journal:  J Chiropr Med       Date:  2016-08-25

6.  The risk of risk-adjustment measures for perioperative spine infection after spinal surgery.

Authors:  Adam P Goode; Chad Cook; J Brian Gill; Sean Tackett; Christopher Brown; William Richardson
Journal:  Spine (Phila Pa 1976)       Date:  2011-04-20       Impact factor: 3.468

Review 7.  A Systematic Review of Comorbidity Measurement Methods for Patients With Nontraumatic Brain Injury in Inpatient Rehabilitation Settings.

Authors:  Wayne Khuu; Vincy Chan; Angela Colantonio
Journal:  Am J Phys Med Rehabil       Date:  2017-11       Impact factor: 2.159

8.  [Acupuncture for chronic pain patients. Treatment outcomes--the role of the acupuncturist].

Authors:  W Weidenhammer; G Menz; A Streng; K Linde; D Melchart
Journal:  Schmerz       Date:  2006-09       Impact factor: 1.107

9.  Predictors of physical therapy clinic performance in the treatment of patients with low back pain syndromes.

Authors:  Linda Resnik; Dawei Liu; Vince Mor; Dennis L Hart
Journal:  Phys Ther       Date:  2008-08-08

10.  A data mining approach in home healthcare: outcomes and service use.

Authors:  Elizabeth A Madigan; Olivier Louis Curet
Journal:  BMC Health Serv Res       Date:  2006-02-24       Impact factor: 2.655

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