Evidence map›Paper›PMID 36581422›Full record

ArticleBMJ open2022

Process evaluation of the scale-up of integrated diabetes and hypertension care in Belgium, Cambodia and Slovenia (the SCUBY Project): a study protocol.

Monika Martens, Edwin Wouters, Josefien van Olmen, Zalika Klemenc Ketiš, Srean Chhim, Savina Chham, Veerle Buffel, Katrien Danhieux, Nataša Stojnić, Črt Zavrnik and 7 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

17 authors.

Monika MartensDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium mmartens@itg.be.ORCID 0000-0002-1432-0684
Edwin WoutersCentre for Population, Family & Health, Department of Social Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0003-2268-3829
Josefien van OlmenDepartment of Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0001-9724-1887
Zalika Klemenc KetišCommunity Health Center Ljubljana, Ljubljana, Slovenia.ORCID 0000-0002-0270-1754
Srean ChhimNational Institute of Public Health, Phnom Penh, Cambodia.ORCID 0000-0003-1558-1875
Savina ChhamCentre for Population, Family & Health, Department of Social Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-7142-9037
Veerle BuffelCentre for Population, Family & Health, Department of Social Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0001-6602-9525
Katrien DanhieuxDepartment of Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0001-6064-5335
Nataša StojnićCommunity Health Center Ljubljana, Ljubljana, Slovenia.ORCID 0000-0002-1338-4774
Črt ZavrnikCommunity Health Center Ljubljana, Ljubljana, Slovenia.ORCID 0000-0003-0654-452X
Antonija Poplas SusičCommunity Health Center Ljubljana, Ljubljana, Slovenia.ORCID 0000-0002-4328-3333
Wim Van DammeDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0002-6344-3007
Por IrNational Institute of Public Health, Phnom Penh, Cambodia.ORCID 0000-0003-3493-2749
Roy RemmenDepartment of Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-6509-9561
Grace Marie V KuDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0002-4276-9104
Kerstin Klipstein-GrobuschJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-5462-9889
Daniel BoatengJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-7568-7298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIntegrated care interventions for type 2 diabetes (T2D) and hypertension (HT) are effective, yet challenges exist with regard to their implementation and scale-up. The 'SCale-Up diaBetes and hYpertension care' (SCUBY) Project aims to facilitate the scale-up of integrated care for T2D and HT through the co-creation and implementation of contextualised scale-up roadmaps in Belgium, Cambodia and Slovenia. We hereby describe the plan for the process and scale-up evaluation of the SCUBY Project. The specific goals of the process and scale-up evaluation are to (1) analyse how, and to what extent, the roadmap has been implemented, (2) assess how the differing contexts can influence the implementation process of the scale-up strategies and (3) assess the progress of the scale-up. METHODS AND ANALYSIS: A comprehensive framework was developed to include process and scale-up evaluation embedded in implementation science theory. Key implementation outcomes include acceptability, feasibility, relevance, adaptation, adoption and cost of roadmap activities. A diverse range of predominantly qualitative tools-including a policy dialogue reporting form, a stakeholder follow-up interview and survey, project diaries and policy mapping-were developed to assess how stakeholders perceive the scale-up implementation process and adaptations to the roadmap. The role of context is considered relevant, and barriers and facilitators to scale-up will be continuously assessed. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Institutional Review Board (ref. 1323/19) at the Institute of Tropical Medicine (Antwerp, Belgium). The SCUBY Project presents a comprehensive framework to guide the process and scale-up evaluation of complex interventions in different health systems. We describe how implementation outcomes, mechanisms of impact and scale-up outcomes can be a basis to monitor adaptations through a co-creation process and to guide other scale-up interventions making use of knowledge translation and co-creation activities.

Indexed as

Diabetes Mellitus, Type 2HypertensionBelgiumCambodiaHumansSloveniaHealth policyPRIMARY CAREPUBLIC HEALTHQUALITATIVE RESEARCH

Identifiers

PMID36581422
PMCPMC9806029

What OpenQuestion holds

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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.