Evidence map›Paper›PMID 31508298›Full record

ReviewPreventive medicine reports2019

An evidence-based toolbox for the design and implementation of selective-prevention primary-care initiatives targeting cardio-metabolic disease.

Anders Larrabee Sonderlund, Trine Thilsing, Joke Korevaar, Monika Hollander, Christos Lionis, Francois Schellevis, Per Wändell, Axel C Carlsson, Anne-Karien de Waard, Niek de Wit and 4 more

Abstract readReview
In one paragraph

Review in Preventive medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

14 authors.

Anders Larrabee SonderlundResearch Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Trine ThilsingResearch Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Joke KorevaarNetherlands Institute for Health Services Research, Utrecht, the Netherlands.
Monika HollanderJulius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, the Netherlands.
Christos LionisClinic of Social and Family Medicine, University of Crete, Rethymno, Greece.
Francois SchellevisNetherlands Institute for Health Services Research, Utrecht, the Netherlands.
Per WändellDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, H1, Karolinska Institutet, Stockholm, Sweden.
Axel C CarlssonDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, H1, Karolinska Institutet, Stockholm, Sweden.
Anne-Karien de WaardNetherlands Institute for Health Services Research, Utrecht, the Netherlands.
Niek de WitJulius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, the Netherlands.
Bohumil SeifertInstitute of General Practice, Charles University in Prague, Prague, Czech Republic.
Agapi AngelakiClinic of Social and Family Medicine, University of Crete, Rethymno, Greece.
Norbert KralInstitute of General Practice, Charles University in Prague, Prague, Czech Republic.
Jens SondergaardResearch Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardio-metabolic diseases (CMD; cardiovascular disease, type 2 diabetes, chronic kidney disease) represent a global public health problem. Worldwide, nearly half a billion people are currently diagnosed with diabetes, and cardiovascular disease is the leading cause of death. Most of these diseases can be assuaged/prevented through behavior change. However, the best way to implement preventive interventions is unclear. We aim to fill this knowledge gap by creating an evidence-based and adaptable "toolbox" for the design and implementation of selective prevention initiatives (SPI) targeting CMD. We built our toolbox based on evidence from a pan-European research project on primary-care SPIs targeting CMD. The evidence includes (1) two systematic reviews and two surveys of patient and general practitioner barriers and facilitators of engaging with SPIs, (2) a consensus meeting with leading experts to establish optimal SPI design, and (3) a feasibility study of a generic, evidence-based primary-care SPI protocol in five European countries. Our results related primarily to the five different national health-care contexts from which we derived our data. On this basis, we generated 12 general recommendations for how best to design and implement CMD-SPIs in primary care. We supplement our recommendations with practical, evidence-based suggestions for how each recommendation might best be heeded. The toolbox is generic and adaptable to various national and systemic settings by clinicians and policy makers alike. However, our product needs to be kept up-to-date to be effective and we implore future research to add relevant tools as they are developed.

Indexed as

Behavior changeCardiovascular diseaseLifestyle-related diseasePreventionPreventive health carePrimary careSelf-efficacy

Identifiers

PMID31508298
PMCPMC6722397

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.