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Auditing prescription practice using explicit criteria and computerized drug benefit claims data
Author(s) -
Anderson Geoffrey M.,
Beers Mark H.,
Kerluke Kerry
Publication year - 1997
Publication title -
journal of evaluation in clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.737
H-Index - 73
eISSN - 1365-2753
pISSN - 1356-1294
DOI - 10.1046/j.1365-2753.1997.t01-1-00005.x
Subject(s) - audit , medical prescription , medicine , certification , polypharmacy , health care , population , family medicine , medline , drug utilization review , drug , intensive care medicine , nursing , psychiatry , management , environmental health , political science , law , economics , economic growth
Bringing information on patterns of existing practice together with information on appropriate practice is an essential component of efforts to improve health care. In this study, computerized claims from a universal and comprehensive drug benefit plan for the elderly were brought together with explicit criteria for appropriate prescribing in the elderly in order to provide an estimate of the extent of potentially inappropriate prescribing in the covered population and the degree to which inappropriate prescribing was associated with defined physician characteristics. The analysis showed that 38% of elderly people who received antidepressants, 19% of those who received oral hypoglycemics, 18% of those who received sedative hypnotics and 13% of those who received non‐steroidal anti‐inflammatory drugs were defined as having received a potentially inappropriate drug. Older physicians and physicians without speciality certification were more likely to prescribe potentially inappropriate drugs. This analysis shows that criteria‐based audits of drug claims databases can be used to provide an overview of prescribing problems at a population level and can reveal physician characteristics that may predict poor prescription practice. However, since neither explicit criteria nor claims databases can accurately capture the clinical details that ultimately define the appropriateness of care, audits of claims data should be linked to a more definitive measure of appropriateness and strategies designed to improve care.