Electronic Health Records as Valuable Data Sources in the Health Care Quality Improvement Process.
detection
electronic health records
health care
process
quality improvement
type 2 diabetes
Journal
Health services research and managerial epidemiology
ISSN: 2333-3928
Titre abrégé: Health Serv Res Manag Epidemiol
Pays: United States
ID NLM: 101654536
Informations de publication
Date de publication:
Historique:
received:
02
05
2019
accepted:
02
05
2019
entrez:
19
6
2019
pubmed:
19
6
2019
medline:
19
6
2019
Statut:
epublish
Résumé
In North Karelia, Finland, the regional electronic health records (EHRs) enable flexible data retrieval and area-level analyses. The aim of this study was to assess the early detection of type 2 diabetes (T2D) in the region and to evaluate the performed activities in order to improve the processes between the years 2012 and 2017. Patients with T2D were identified from the EHRs using the In 2012, the age-adjusted prevalence of T2D in North Karelia varied considerably between municipalities (5.5%-8.6%). These differences indicate variation in the processes of early diagnosis. The findings were discussed in the regional network of health professionals treating patients with T2D, resulting in sharing experiences and best practices. In 2017, the differences had notably diminished, and in most municipalities, the prevalence exceeded 8%. The regional differences in the prevalence and their downward trend were observed both in the EHRs and in the medication reimbursement rights register. Clear differences in the prevalence of T2D were detected between municipalities. After visualizing these differences and providing information for the professionals, the early detection of T2D improved and the regional differences decreased. The EHRs are a valuable data source for knowledge-based management and quality improvement.
Sections du résumé
BACKGROUND
BACKGROUND
In North Karelia, Finland, the regional electronic health records (EHRs) enable flexible data retrieval and area-level analyses. The aim of this study was to assess the early detection of type 2 diabetes (T2D) in the region and to evaluate the performed activities in order to improve the processes between the years 2012 and 2017.
METHODS
METHODS
Patients with T2D were identified from the EHRs using the
RESULTS
RESULTS
In 2012, the age-adjusted prevalence of T2D in North Karelia varied considerably between municipalities (5.5%-8.6%). These differences indicate variation in the processes of early diagnosis. The findings were discussed in the regional network of health professionals treating patients with T2D, resulting in sharing experiences and best practices. In 2017, the differences had notably diminished, and in most municipalities, the prevalence exceeded 8%. The regional differences in the prevalence and their downward trend were observed both in the EHRs and in the medication reimbursement rights register.
CONCLUSION
CONCLUSIONS
Clear differences in the prevalence of T2D were detected between municipalities. After visualizing these differences and providing information for the professionals, the early detection of T2D improved and the regional differences decreased. The EHRs are a valuable data source for knowledge-based management and quality improvement.
Identifiants
pubmed: 31211180
doi: 10.1177/2333392819852879
pii: 10.1177_2333392819852879
pmc: PMC6545647
doi:
Types de publication
Case Reports
Langues
eng
Pagination
2333392819852879Déclaration de conflit d'intérêts
Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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