Evidence map›Paper›PMID 31211180›Full record

ArticleHealth services research and managerial epidemiology

Electronic Health Records as Valuable Data Sources in the Health Care Quality Improvement Process.

Katja Wikström, Maija Toivakka, Päivi Rautiainen, Hilkka Tirkkonen, Teppo Repo, Tiina Laatikainen

Abstract readCase Reports
In one paragraph

Article in Health services research and managerial epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katja WikströmInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0002-8716-2875
Maija ToivakkaDepartment of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland.
Päivi RautiainenJoint Municipal Authority for North Karelia Social and Health Services (Siun sote), Joensuu, Finland.
Hilkka TirkkonenJoint Municipal Authority for North Karelia Social and Health Services (Siun sote), Joensuu, Finland.
Teppo RepoDepartment of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland.
Tiina LaatikainenInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

methodsPatients with T2D were identified from the EHRs using the

resultsIn 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.

conclusionClear 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.

Indexed as

detectionelectronic health recordshealth careprocessquality improvementtype 2 diabetes

Identifiers

PMID31211180
PMCPMC6545647

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.