Evidence map›Paper›PMID 37386491›Full record

ArticleBMC health services research2023

Does the implementation of an incentive scheme increase adherence to diabetes guidelines? A retrospective cohort study of managed care enrollees.

Renato Farcher, Sereina M Graber, Nicole Thüring, Eva Blozik, Carola A Huber

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Article in BMC health services research, 2023. 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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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

5 authors.

Renato FarcherDepartment of Health Sciences, Helsana Group, P.O. Box, Zürich, Switzerland. renato.farcher@helsana.ch.
Sereina M GraberDepartment of Health Sciences, Helsana Group, P.O. Box, Zürich, Switzerland.
Nicole ThüringDepartment of Managed Care, Helsana Group, P.O. Box, Zürich, Switzerland.
Eva BlozikInstitute of Primary Care, University of Zürich, University Hospital Zürich, Zürich, Switzerland.
Carola A HuberDepartment of Health Sciences, Helsana Group, P.O. Box, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA novel incentive scheme based on a joint agreement of a large Swiss health insurance with 56 physician networks was implemented in 2018. This study evaluated the effect of its implementation on adherence to evidence-based guidelines among patients with diabetes in managed care models.

methodsWe performed a retrospective cohort study, using health care claims data from patients with diabetes enrolled in a managed care plan (2016-2019). Guideline adherence was assessed by four evidence-based performance measures and four hierarchically constructed adherence levels. Generalized multilevel models were used to examine the effect of the incentive scheme on guideline adherence.

resultsA total of 6'273 patients with diabetes were included in this study. The raw descriptive statistics showed minor improvements in guideline adherence after the implementation. After adjusting for underlying patient characteristics and potential differences between physician networks, the likelihood of receiving a test was moderately but consistently higher after the implementation of the incentive scheme for most performance measures, ranging from 18% (albuminuria: OR, 1.18; 95%-CI, 1.05-1.33) to 58% (HDL cholesterol: OR, 1.58; 95%-CI, 1.40-1.78). Full adherence was more likely after implementation of the incentive scheme (OR, 1.37; 95%-CI, 1.20-1.55), whereas level 1 significantly decreased (OR, 0.74; 95%-CI, 0.65 - 0.85). The proportions of the other adherence levels were stable.

conclusionIncentive schemes including transparency of the achieved performance may be able to improve guideline adherence in patients with diabetes and are promising to increase quality of care in this patient population.

Indexed as

Diabetes MellitusMotivationHumansInsurance, HealthManaged Care ProgramsRetrospective StudiesClaims dataDiabetes mellitusGuideline adherencePay-for-performancePrimary careQuality measurement

Identifiers

PMID37386491
PMCPMC10308744

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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.