Do practice characteristics explain differences in morbidity estimates between electronic health record based general practice registration networks?
| Autor: | K. van Boven, C. van den Dungen, Mwm de Waal, N. Hoeymans, R.A. Verheij, Jam van Oers, M. van den Akker, FG Schellevis, Jhk Joosten, Mcj Biermans |
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| Přispěvatelé: | General practice, EMGO - Quality of care, Family Medicine, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Tranzo, Scientific center for care and wellbeing |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Male
medicine.medical_specialty Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] Population General Practice MEDLINE Population health Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18] Physicians Women medicine Prevalence Electronic Health Records Humans Registries Practice characteristics education Electronic medical records Netherlands education.field_of_study Advanced Practice Nursing business.industry Incidence (epidemiology) Incidence Multilevel model Odds ratio Variation (linguistics) Logistic Models Family medicine General practice Family practice Multilevel Analysis Female Morbidity business Demography Research Article |
| Zdroj: | van den Dungen, C, Hoeymans, N, van den Akker, M, Biermans, M C J, Boven, K, Joosten, J H K, Verheij, R A, de Waal, M W M, Schellevis, F G & van Oers, J A M 2014, ' Do practice characteristics explain differences in morbidity estimates between electronic health record based general practice registration networks? ', BMC Family Practice, vol. 15, 176 . https://doi.org/10.1186/s12875-014-0176-7 BMC Family Practice, 15:176. BioMed Central BMC FAMILY PRACTICE, 15 BMC Family Practice, 15:176. BioMed Central Ltd BMC Family Practice BMC Family Practice, 15 |
| ISSN: | 1471-2296 |
| DOI: | 10.1186/s12875-014-0176-7 |
| Popis: | Background General practice based registration networks (GPRNs) provide information on population health derived from electronic health records (EHR). Morbidity estimates from different GPRNs reveal considerable, unexplained differences. Previous research showed that population characteristics could not explain this variation. In this study we investigate the influence of practice characteristics on the variation in incidence and prevalence figures between general practices and between GPRNs. Methods We analyzed the influence of eight practice characteristics, such as type of practice, percentage female general practitioners, and employment of a practice nurse, on the variation in morbidity estimates of twelve diseases between six Dutch GPRNs. We used multilevel logistic regression analysis and expressed the variation between practices and GPRNs in median odds ratios (MOR). Furthermore, we analyzed the influence of type of EHR software package and province within one large national GPRN. Results Hardly any practice characteristic showed an effect on morbidity estimates. Adjusting for the practice characteristics did also not alter the variation between practices or between GPRNs, as MORs remained stable. The EHR software package ‘Medicom’ and the province ‘Groningen’ showed significant effects on the prevalence figures of several diseases, but this hardly diminished the variation between practices. Conclusion Practice characteristics do not explain the differences in morbidity estimates between GPRNs. Electronic supplementary material The online version of this article (doi:10.1186/s12875-014-0176-7) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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