Evidence map›Paper›PMID 38178188›Full record

ArticleBMC health services research2024

Access to automated comparative feedback reports in primary care - a study of intensity of use and relationship with clinical performance among Swedish primary care practices.

Anders Anell, Eva Arvidsson, Margareta Dackehag, Lina Maria Ellegård, Anna Häger Glenngård

Abstract read
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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Anders AnellLund University School of Economics & Management, Lund, Sweden.
Eva ArvidssonFuturum, Region Jönköping County, Jönköping, Sweden.
Margareta DackehagLund University School of Economics & Management, Lund, Sweden.
Lina Maria EllegårdLund University School of Economics & Management, Lund, Sweden. lina_maria.ellegard@hkr.se.
Anna Häger GlenngårdLund University School of Economics & Management, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital applications that automatically extract information from electronic medical records and provide comparative visualizations of the data in the form of quality indicators to primary care practices may facilitate local quality improvement (QI). A necessary condition for such QI to work is that practices actively access the data. The purpose of this study was to explore the use of an application that visualizes quality indicators in Swedish primary care, developed by a profession-led QI initiative ("Primärvårdskvalitet"). We also describe the characteristics of practices that used the application more or less extensively, and the relationships between the intensity of use and changes in selected performance indicators.

methodsWe studied longitudinal data on 122 primary care practices' visits to pages (page views) in the application over a period up to 5 years. We compared high and low users, classified by the average number of monthly page views, with respect to practice and patient characteristics as well as baseline measurements of a subset of the performance indicators. We estimated linear associations between visits to pages with diabetes-related indicators and the change in measurements of selected diabetes indicators over 1.5 years.

resultsLess than half of all practices accessed the data in a given month, although most practices accessed the data during at least one third of the observed months. High and low users were similar in terms of most studied characteristics. We found statistically significant positive associations between use of the diabetes indicators and changes in measurements of three diabetes indicators.

conclusionsAlthough most practices in this study indicated an interest in the automated feedback reports, the intensity of use can be described as varying and on average limited. The positive associations between the use and changes in performance suggest that policymakers should increase their support of practices' QI efforts. Such support may include providing a formalized structure for peer group discussions of data, facilitating both understanding of the data and possible action points to improve performance, while maintaining a profession-led use of applications.

Indexed as

Diabetes MellitusQuality ImprovementFeedbackHumansPrimary Health CareSwedenAudit and feedbackAutomated feedback reportsElectronic medical recordsGeneral practiceMotivationPrimary health careQuality improvementQuality indicators

Identifiers

PMID38178188
PMCPMC10768433

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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.