Literature DB >> 12233888

Challenges of estimating health service utilization for osteoarthritis patients on a population level.

Leslie R Harrold1, Robert A Yood, Walter Straus, Susan E Andrade, John I Reed, Jackie Cernieux, Barbara Edelman Lewis, Jerry H Gurwitz.   

Abstract

OBJECTIVE: To examine how estimates of osteoarthritis (OA) related health service utilization and medical care charges vary based on how the population of patients is defined, we compared a large cohort of patients identified through an administrative OA diagnosis relative to a subgroup of patients in whom this diagnosis had been validated through medical record review.
METHODS: We identified all members (> or = 18 years of age) of a Massachusetts group model health maintenance organization (HMO) with documentation of at least one health care encounter associated with an OA diagnosis during the period 1994-96 (n = 10,740). From this population we randomly selected 700 subjects. Trained nurse reviewers abstracted relevant clinical, laboratory, and radiologic data from their medical records. Physician reviewers evaluated the abstracted information and rated the evidence for the presence of OA according to 3 levels (definite, possible, and unlikely). All persons rated by the physician reviewers as having definite OA were included in the validated subgroup (n = 442). Health service utilization and medical care charges were assessed in all persons with an administrative OA diagnosis who were not randomly sampled (n = 10,040) and the validated subgroup (n = 442) across the following domains: (1) ambulatory encounters associated with an OA diagnosis, (2) relevant radiographic studies, (3) relevant surgical procedures, and (4) relevant medication use.
RESULTS: Those in the validated subgroup had higher rates of ambulatory OA associated health care encounters, radiographic studies, surgical procedures, and analgesic and/or antiinflammatory medication dispensings. Patients in the validated subgroup were significantly more likely to be in the highest quartile for total one year charges for the care of OA.
CONCLUSION: Estimates of health service utilization are substantially higher for populations of patients in whom a diagnosis of OA has been validated through medical record review, as compared with unvalidated populations identified solely through diagnoses contained in administrative records. Thus using health service utilization estimates based on an unvalidated sample may lead to an inaccurate estimate when extrapolated to the overall population of patients with OA.

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Year:  2002        PMID: 12233888

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  7 in total

1.  Impact of knee osteoarthritis on health care resource utilization in a US population-based national sample.

Authors:  Elizabeth A Wright; Jeffrey N Katz; Miriam G Cisternas; Courtenay L Kessler; Aubrey Wagenseller; Elena Losina
Journal:  Med Care       Date:  2010-09       Impact factor: 2.983

2.  Relationship between persistent pain and 5-year mortality: a population-based prospective cohort study.

Authors:  Joseph W Shega; Melissa Andrew; Ashwin Kotwal; Denys T Lau; Keela Herr; Mary Ersek; Debra K Weiner; Marshall H Chin; William Dale
Journal:  J Am Geriatr Soc       Date:  2013-12-09       Impact factor: 5.562

3.  Annual consultation incidence of osteoarthritis estimated from population-based health care data in England.

Authors:  Dahai Yu; George Peat; John Bedson; Kelvin P Jordan
Journal:  Rheumatology (Oxford)       Date:  2015-07-09       Impact factor: 7.580

Review 4.  Diagnostic accuracy of administrative data algorithms in the diagnosis of osteoarthritis: a systematic review.

Authors:  Swastina Shrestha; Amish J Dave; Elena Losina; Jeffrey N Katz
Journal:  BMC Med Inform Decis Mak       Date:  2016-07-07       Impact factor: 2.796

5.  How much do rheumatologists and orthopaedists doctors' modalities impact the cost of arthritis in Cyprus?

Authors:  Despena Andrioti; Kypros Kyprianou; George Charalambous
Journal:  BMC Musculoskelet Disord       Date:  2015-08-14       Impact factor: 2.362

6.  Underrecording of osteoarthritis in United Kingdom primary care electronic health record data.

Authors:  Dahai Yu; Kelvin P Jordan; George Peat
Journal:  Clin Epidemiol       Date:  2018-09-12       Impact factor: 4.790

7.  Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model.

Authors:  Ross Wilkie; Simran Singh Parmar; Milica Blagojevic-Bucknall; Diane Smith; Martin J Thomas; Bethany Jane Seale; Gemma Mansell; George Peat
Journal:  RMD Open       Date:  2019-11-13
  7 in total

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