Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity
Autor: | Mireia Fàbregas-Escurriola, Bonaventura Bolíbar, Jose M Valderas, Quintí Foguet-Boreu, Concepción Violán, Pilar Brugulat-Guiteras, Eduardo Hermosilla-Pérez, Miguel Ángel Muñoz-Pérez |
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Jazyk: | angličtina |
Předmět: |
Adult
Male medicine.medical_specialty Pediatrics Adolescent Cross-sectional study Health surveys Population Population health Comorbidity Disease cluster Interviews as Topic International Classification of Diseases Internal medicine Epidemiology medicine Prevalence Health Status Indicators Humans Electronic health records education Depression (differential diagnoses) Aged education.field_of_study Primary Health Care business.industry Public health Public Health Environmental and Occupational Health Multimorbidity Middle Aged medicine.disease Cross-Sectional Studies Spain Chronic Disease Female Morbidity business Research Article |
Zdroj: | BMC Public Health |
ISSN: | 1471-2458 |
DOI: | 10.1186/1471-2458-13-251 |
Popis: | BACKGROUND: Health surveys (HS) are a well-established methodology for measuring the health status of a population. The relative merit of using information based on HS versus electronic health records (EHR) to measure multimorbidity has not been established. Our study had two objectives: 1) to measure and compare the prevalence and distribution of multimorbidity in HS and EHR data, and 2) to test specific hypotheses about potential differences between HS and EHR reporting of diseases with a symptoms-based diagnosis and those requiring diagnostic testing. METHODS: Cross-sectional study using data from a periodic HS conducted by the Catalan government and from EHR covering 80% of the Catalan population aged 15 years and older. We determined the prevalence of 27 selected health conditions in both data sources, calculated the prevalence and distribution of multimorbidity (defined as the presence of ≥2 of the selected conditions), and determined multimorbidity patterns. We tested two hypotheses: a) health conditions requiring diagnostic tests for their diagnosis and management would be more prevalent in the EHR; and b) symptoms-based health problems would be more prevalent in the HS data. RESULTS: We analysed 15,926 HS interviews and 1,597,258 EHRs. The profile of the EHR sample was 52% women, average age 47 years (standard deviation: 18.8), and 68% having at least one of the selected health conditions, the 3 most prevalent being hypertension (20%), depression or anxiety (16%) and mental disorders (15%). Multimorbidity was higher in HS than in EHR data (60% vs. 43%, respectively, for ages 15-75+, P |
Databáze: | OpenAIRE |
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