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


CONCLUSIONS
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.
Harrold
Leslie R
LR
Meyers Primary Care Institute, Fallon Healthcare System and University of Massachusetts Medical School, Worcester 01605, USA. harroldl@ummhc.org
Yood
Robert A
RA
Straus
Walter
W
Andrade
Susan E
SE
Reed
John I
JI
Cernieux
Jackie
J
Lewis
Barbara Edelman
BE
Gurwitz
Jerry H
JH
D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D016009:Chi-Square Distribution; D015331:Cohort Studies; D003695:Delivery of Health Care / Q000706:statistics & numerical data*; D005260:Female; D017048:Health Care Costs; D019538:Health Care Surveys; D006279:Health Maintenance Organizations / Q000706:statistics & numerical data*; D006295:Health Resources; D006801:Humans; D008297:Male; D008404:Massachusetts / Q000453:epidemiology; D008875:Middle Aged; D010003:Osteoarthritis / Q000175:diagnosis / Q000191:economics / Q000453:epidemiology* / Q000628:therapy*; D017063:Outcome Assessment, Health Care; D011237:Predictive Value of Tests; D015995:Prevalence; D012042:Registries; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D017678:Sex Distribution; D016896:Treatment Outcome