Evidence map›Paper›PMID 42354480›Full record

ArticleHealthcare (Basel, Switzerland)2026

Data-Driven Commissioning to Reduce Type 2 Diabetes Related Health Disparities in The Netherlands: Using Key Informant Group Interviews.

Els Roorda, Marc Bruijnzeels, Jeroen Struijs, Marco Spruit

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Els RoordaDepartment of Public Health and Primary Care (PHEG), Leiden University Medical Centre (LUMC), 2300 RC Leiden, The Netherlands.ORCID 0009-0009-4881-5421
Marc BruijnzeelsDepartment of Public Health and Primary Care (PHEG), Leiden University Medical Centre (LUMC), 2300 RC Leiden, The Netherlands.
Jeroen StruijsDepartment of Public Health and Primary Care (PHEG), Leiden University Medical Centre (LUMC), 2300 RC Leiden, The Netherlands.
Marco SpruitDepartment of Public Health and Primary Care (PHEG), Leiden University Medical Centre (LUMC), 2300 RC Leiden, The Netherlands.ORCID 0000-0002-9237-221X

Funding

Ministry of Health Welfare and Sport na
6 · The paper itself

Abstract

backgroundHealth disparities in individuals with type 2 diabetes result in an enormous amount of healthcare usage and are difficult to address. We examine how Dutch private, not-for profit health insurers, responsible for accessibility of care, use their claims data in the commissioning process to reduce health disparities.

objectiveTo identify factors influencing the possibility to reduce health disparities in commissioning based on data-driven insights.

methodsKey informant group interview data was analyzed using a hybrid deductive-inductive approach following the 6SQIuD framework to identify factors, their relationships, and potential for change, with results validated using a saturation, member and expert check.

resultsFrom the 79 factors found, three were data capability-related and 76 were decision context-related. Fifteen main factors were found on socio-cultural, system, organizational and interpersonal levels. The factors in the decision context can be divided into the themes equality, quality and organizational sustainability.

conclusionsThis study explored the factors influencing commissioners' ability to reduce disparities and the role of data. Interestingly, no main factors related to data capabilities were identified. Three paradoxes were seen after interpreting our data: equal access leads to unfavorable unequal outcomes; a focus on evidence-based healthcare interventions limits effectiveness in reducing health disparities; and conservative organizational behavior threatens long-term viability. Further policy analyses are needed to better understand which systemic and organizational conditions facilitate commissioners in addressing health disparities.

Indexed as

business intelligencedata and analyticshealth inequalitieshealth policy

Identifiers

PMID42354480
PMCPMC13299924

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