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Predicting the Outcome of Primary Care

Bibliographic Data

ID9100436
AuthorsDiana Dryer Wright (University of Utah, corresponding author), Robert L Kane (0009-0005-8505-6218, RAND Corporation)
Year1982
Volume20
Issue2
Pages180-187
Publication date1982-02-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198202000-00005
PMID7078280
OpenAlexW2073481971
LanguageEN
References cited1

Each physician's ability to treat disease is limited by his/her ability to discriminate among patients on the basis of risk. The relationship of physician expectation of outcome (prognosis) to actual outcome and to cost were determined for 1,757 patients seeking primary care. Outcome was measured by a seven-level functional-status scale; patients who returned to their usual level of function after an acute illness were defined as having good outcomes. Although 24 per cent of patients experienced bad outcomes, physicians had anticipated only 6 per cent. Physician's predictions of bad outcomes had a sensitivity of 13.6 per cent and a specificity of 96.9 per cent. Patients with bad outcomes had slightly higher laboratory costs than did patients with good outcomes, but a much larger increase was seen in laboratory, office and total costs for all patients for whom physicians expected bad outcomes, regardless of the actual results. A feedback loop is recommended to provide a better perspective on outcome and eventually to improve the efficiency and cost benefit of the medical decision-making process

Family medicine · Intensive care medicine · Outcome (game theory) · Emergency Medicine · Healthcare cost, quality, practices · Healthcare Policy and Management · Medicine · Primary Care and Health Outcomes

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Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae