Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11929, first published .
Estimating Morbidity Rates Based on Routine Electronic Health Records in Primary Care: Observational Study

Estimating Morbidity Rates Based on Routine Electronic Health Records in Primary Care: Observational Study

Estimating Morbidity Rates Based on Routine Electronic Health Records in Primary Care: Observational Study

Journals

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  2. Półchłopek O, Koning N, Büchner F, Crone M, Numans M, Hoogendoorn M. Quantitative and temporal approach to utilising electronic medical records from general practices in mental health prediction. Computers in Biology and Medicine 2020;125:103973 View
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  7. Baliatsas C, Dückers M, Smit L, Heederik D, Yzermans J. Morbidity Rates in an Area with High Livestock Density: A Registry-Based Study Including Different Groups of Patients with Respiratory Health Problems. International Journal of Environmental Research and Public Health 2020;17(5):1591 View
  8. Dückers M, Baliatsas C, Spreeuwenberg P, Verheij R, Reifels L, Yzermans C. Immediate and long-term health impact of exposure to gas-mining induced earthquakes and related environmental stressors. European Journal of Public Health 2021 View
  9. Himmelreich J, Lucassen W, Harskamp R, Aussems C, van Weert H, Nielen M. CHARGE-AF in a national routine primary care electronic health records database in the Netherlands: validation for 5-year risk of atrial fibrillation and implications for patient selection in atrial fibrillation screening. Open Heart 2021;8(1):e001459 View
  10. van der Heide I, Heins M, van Hout H, Verheij R, Francke A, Joling K, Carr D. How Transitions in Dementia Care Trajectories Affect Health Problems in Partners: A Longitudinal Analysis With Linked Health and Administrative Data. The Journals of Gerontology: Series B 2021;76(6):1186 View
  11. Torrez Lamberti M, López F, Valdez P, Bianchi A, Barrionuevo Medina E, Pescaretti M, Delgado M, Karunasagar I. Epidemiological study of prevalent pathogens in the Northwest region of Argentina (NWA). PLOS ONE 2020;15(10):e0240404 View
  12. Klijs B, Mitratza M, Harteloh P, Moll van Charante E, Richard E, Nielen M, Kunst A. Estimating the lifetime risk of dementia using nationwide individually linked cause-of-death and health register data. International Journal of Epidemiology 2021;50(3):809 View
  13. Hilderink H, Plasmans M, Poos M, Eysink P, Gijsen R. Dutch DALYs, current and future burden of disease in the Netherlands. Archives of Public Health 2020;78(1) View
  14. Joling K, Koppel M, van Hout H, Onwuteaka‐Philipsen B, Francke A, Verheij R, Twisk J, van Marum R. Psychotropic drug prescription rates in primary care for people with dementia from recorded diagnosis onwards. International Journal of Geriatric Psychiatry 2021;36(3):443 View
  15. van Zoonen E, van Baar M, van Schie C, Koppes L, Verheij R. Burn injuries in primary care in the Netherlands: Risk factors and trends. Burns 2021 View
  16. Badenbroek I, Nielen M, Hollander M, Stol D, de Wit N, Schellevis F. Characteristics and motives of non-responders in a stepwise cardiometabolic disease prevention program in primary care. European Journal of Public Health 2021 View
  17. Dirkzwager A, Verheij R, Nieuwbeerta P, Groenewegen P. Mental and physical health problems before and after detention: A matched cohort study. The Lancet Regional Health - Europe 2021;8:100154 View
  18. Ruths S, Haukenes I, Hetlevik Ø, Smith-Sivertsen T, Hjørleifsson S, Hansen A, Riiser S, Meling H, Baste V. Trends in treatment for patients with depression in general practice in Norway, 2009–2015: nationwide registry-based cohort study (The Norwegian GP-DEP Study). BMC Health Services Research 2021;21(1) View