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Bridging the gap between clinical practice and public health: Using EHR data to assess trends in the seasonality of blood-pressure control.
Amoah, Aurora O; Angell, Sonia Y; Byrnes-Enoch, Hannah; Amirfar, Sam; Maa, Phoenix; Wang, Jason J.
Afiliación
  • Amoah AO; Primary Care Information Project (PCIP) Division of Prevention and Primary Care New York City Department of Health and Mental Hygiene (NYCDOHMH), United States.
  • Angell SY; Primary Care Information Project (PCIP) Division of Prevention and Primary Care New York City Department of Health and Mental Hygiene (NYCDOHMH), United States.
  • Byrnes-Enoch H; Primary Care Information Project (PCIP) Division of Prevention and Primary Care New York City Department of Health and Mental Hygiene (NYCDOHMH), United States.
  • Amirfar S; Primary Care Information Project (PCIP) Division of Prevention and Primary Care New York City Department of Health and Mental Hygiene (NYCDOHMH), United States.
  • Maa P; Primary Care Information Project (PCIP) Division of Prevention and Primary Care New York City Department of Health and Mental Hygiene (NYCDOHMH), United States.
  • Wang JJ; Primary Care Information Project (PCIP) Division of Prevention and Primary Care New York City Department of Health and Mental Hygiene (NYCDOHMH), United States.
Prev Med Rep ; 6: 369-375, 2017 Jun.
Article en En | MEDLINE | ID: mdl-28593116
Electronic health records (EHRs) provide timely access to millions of patient data records while limiting errors associated with manual data extraction. To demonstrate these advantages of EHRs to public health practice, we examine the ability of a EHR calculated blood-pressure (BP) measure to replicate seasonal variation as reported by prior studies that used manual data extraction. Our sample included 609 primary-care practices in New York City. BP control among hypertensives was defined as systolic blood pressure of 140 or less and diastolic blood pressure of 90 or less (BP < 140/90 mm Hg). An innovative query-distribution system was used to extract monthly BP control values from the EHRs of adult patients diagnosed with hypertension over a 25-month period. Generalized estimating equations were used to compare the association between seasonal temperature variations and BP control rates at the practice level, while adjusting for known demographic factors (age, gender), comorbid diseases (diabetes) associated with blood pressure, and months since EHR implementation. BP control rates increased gradually from the spring months to peak summer months before declining in the fall months. In addition to seasonal variation, the adjusted model showed that a 1% increase in patients with a diabetic comorbidity is associated with an increase of 3% (OR 1.03; CI 1.028-1.032) on the BP measure. Our findings identified cyclic trends in BP control and highlighted greater association with increased proportion of diabetic patients, therefore confirming the ability of the EHR as a tool for measuring population health outcomes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Prev Med Rep Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Prev Med Rep Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos