Volume 73 Supplement 1
Epidemiology in primary care: opportunities and challenges
- Viviane Van Casteren1
© Van Casteren 2015
Published: 17 September 2015
Primary care-based data are an important source of information on the population's health and care delivery. By its long history of observational studies, peer reviewed and national publications, the Belgian network of Sentinel General Practices (SGP) provides knowledge about epidemiological trends and quality of care. The SGP is a voluntary, paper-based, continuous and representative network. Besides the extensive SGP data, the Health Services Research unit also collects data from GP samples or the total GP population. In the latter, quality of care studies, data are extracted from electronic health records (EHR), combined or not with prompt data input from GPs. In the near future, all GP data will be collected this way. This transition presents opportunities and challenges.
Large datasets with longitudinal data may be established with less workload for the GPs. EHR-data are linked to single patients with all their health problems or multimorbidity. Estimating the population at risk becomes more precise by using the yearly contact group, adjusted or not for non-attenders.
In 2014, 84% of SGP were using EHR and 75% a certified EHR system. Yet, the regional distribution of EHR systems is highly skewed. In our most recent quality of care study, only 9% of the GPs succeeded in uploading EHR data. Examining the quality of extracted EHR-data is necessary and laborious. We found that only 17% of SGP was always using uniform diagnostic headings to record symptoms and diagnoses in EHR. Moreover, for several health problems there is no code or a combination of codes is needed.
Efforts are needed to obtain high quality EHR data for research as well as for clinical care. The eHealth roadmap for a global use of e-health services in patient care by 2018 may contribute to this goal.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.