Evidence map›Paper›PMID 39033106›Full record

ArticleBMC health services research2024

Process evaluation of the implementation of the assessment of burden of chronic conditions tool in Dutch primary care - lessons from a qualitative implementation study.

Danny Claessens, Marcia Vervloet, Esther A Boudewijns, Lotte C E M Keijsers, Annerika H M Gidding-Slok, Onno C P van Schayck, Bjorn Winkens, Liset van Dijk

Abstract read
In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

8 authors.

Danny ClaessensDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, P.O. Box 616, Maastricht, 6200 MD, the Netherlands. danny.claessens@maastrichtuniversity.nl.
Marcia VervloetNivel, Netherlands Institute for Health Services Research, Utrecht, the Netherlands.
Esther A BoudewijnsDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, P.O. Box 616, Maastricht, 6200 MD, the Netherlands.
Lotte C E M KeijsersDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, P.O. Box 616, Maastricht, 6200 MD, the Netherlands.
Annerika H M Gidding-SlokDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, P.O. Box 616, Maastricht, 6200 MD, the Netherlands.
Onno C P van SchayckDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, P.O. Box 616, Maastricht, 6200 MD, the Netherlands.
Bjorn WinkensDepartment of Methodology and Statistics, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.
Liset van DijkNivel, Netherlands Institute for Health Services Research, Utrecht, the Netherlands.

Funding

Netherlands Organisation for Health Research and Development 104006001
6 · The paper itself

Abstract

backgroundThe Assessment of Burden of Chronic Conditions (ABCC-)tool is developed to facilitate a personalized approach to care in the patient-healthcare provider (HCP) conversation based on shared decision-making and individualized care plans. An effectiveness study highlighted its effect on the perceived quality of care and patient activation. Successful implementation of novel interventions necessitates an understanding of the user's actual application, user experiences and an evaluation of implementation outcomes. This study aims to evaluate the implementation of the ABCC-tool by HCPs in Dutch primary care.

methodsThis study is the process evaluation of a larger type 1 effectiveness-implementation hybrid trial. Semi-structured interviews with HCPs, who were interventionists in the hybrid trial, were held at three and twelve months after they started using the ABCC-tool. The Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) framework was used to evaluate implementation outcomes. The Implementation domain was further strengthened with an evaluation of implementation fidelity using Carroll's framework. Inductive coding and thematic analysis were applied to identify relevant participant experiences and implementation outcomes within the RE-AIM framework.

resultsSeventeen HCPs (1 general practitioner, 16 practice nurses) participated in the study, representing 39% of potentially eligible participants. Most HCPs applied the tool after finishing their own routines instead of how it is intended to be used, namely from the beginning of the consultation. HCPs reached 2-6 patients. The ABCC-tool was initially adopted, but twelve HCPs stopped using the tool due to COVID-19 related cancellation of consultations. High fidelity was found for applying the questionnaire and visualization. Low fidelity was present for applying shared decision-making, formulating care goals and monitoring progress. HCPs indicated that maintaning the ABCC-tool depended on accompanying training and implementation support.

conclusionsHCPs applied the ABCC-tool critically different from intended, potentially diminishing its benefits and ease of use. This evaluation stresses the need for a tailored implementation plan that includes more detailed training and guidance on how and when to use the ABCC-tool.

Indexed as

Primary Health CareQualitative ResearchAdultChronic DiseaseCOVID-19Decision Making, SharedFemaleHumansInterviews as TopicMaleMiddle AgedNetherlandsProcess Assessment, Health CareBarriersChronic careFacilitatorsFidelityImplementation sciencePrimary careProcess-evaluationQualitative interview

Identifiers

PMID39033106
PMCPMC11264986

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LicenceCC BY
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Registered trials

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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.