A Population-Based Analytical Approach to Assessing Patterns, Determinants, and Outcomes of Health Care With Application to Ectopic Pregnancy

Bibliographic Data

ID9103373
AuthorsJoël Coste (0000-0001-7674-7192, Bicêtre Hospital, corresponding author), Jean Bouyer (0000-0003-4861-0783, corresponding author), H Fernández (0000-0002-6679-9359, corresponding author), Jean-Luc Pouly, Jean‐Luc Pouly, Nadine Job-Spira
Year2000
Volume38
Issue7
Pages739-749
Publication date2000-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-200007000-00006
PMID10901357
OpenAlexW2326257241
LanguageEN
References cited37

OBJECTIVE: Health care has variable features, specific determinants, and consequences on people's health that should be investigated in a population perspective. We present a population-based analytical approach to assessing patterns, determinants, and outcomes of health care. METHODS: The approach uses standard epidemiological methods for sample selection and analysis, as well as statistical methods concerning model fitting and validation strategy. It also uses psychometric methods allowing pattern identification: factor analysis, cluster analysis, and polytomous logistic regression to investigate the factors associated with identified patterns of care. The approach is illustrated with an application to ectopic pregnancy (EP). RESULTS: EP diagnostic and therapeutic procedures appeared to be closely related, suggesting 3 differentiated patterns of care. Predictors of these patterns were not only the clinical features and the woman's prior gynecological history but also center characteristics and location. These patterns were found to influence immediate and middle-term outcomes and risk of recurrence of EP. CONCLUSIONS: We illustrate the feasibility and profitability of a population-based analytical approach to identify patterns, determinants, and consequences of care. This approach could be used to analyze other pathological conditions and health care systems

Econometrics · Economics · Ectopic pregnancy · Environmental health · Health care · Identification (biology) · Logistic regression · Population · Pregnancy · Ectopic Pregnancy Diagnosis and Management · Gynecological conditions and treatments · Medicine · Reproductive Health and Contraception

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