Evidence map›Paper›PMID 27469997›Full record

ArticleInternational journal of behavioral medicine2017

Reach of Individuals at Risk for Cardiovascular Disease by Proactive Recruitment Strategies in General Practices, Job Centers, and Health Insurance.

Diana Guertler, Christian Meyer, Marcus Dörr, Janina Braatz, Franziska Weymar, Ulrich John, Jennis Freyer-Adam, Sabina Ulbricht

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Article in International journal of behavioral medicine, 2017. 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
2.7field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 18 citations in OpenAlex.

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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 at 1 institution in 1 country.

Diana GuertlerInstitute of Social Medicine and Prevention, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany. diana.guertler@uni-greifswald.de.ORCID 0000-0002-2533-5347
Christian MeyerInstitute of Social Medicine and Prevention, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany.
Marcus DörrDZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.
Janina BraatzInstitute of Social Medicine and Prevention, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany.
Franziska WeymarInstitute of Social Medicine and Prevention, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany.
Ulrich JohnInstitute of Social Medicine and Prevention, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany.
Jennis Freyer-AdamInstitute of Social Medicine and Prevention, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany.
Sabina UlbrichtInstitute of Social Medicine and Prevention, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany.
Universitätsmedizin Greifswald · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeReach of individuals at risk for cardiovascular disease (CVD) constitutes a major determinant of the population impact of preventive effort. This study compares three proactive recruitment strategies regarding their reach of individuals with CVD risk factors.

methodIndividuals aged 40-65 years were invited to a two-stage cardio-preventive program including an on-site health screening and a cardiovascular examination program (CEP) using face-to-face recruitment in general practices (n = 671), job centers (n = 1049), and mail invitations from health insurance (n = 894). The recruitment strategies were compared regarding the following: (1) participation rate; (2) participants' characteristics, i.e., socio-demographics, self-reported health, and CVD risk factors (smoking, physical activity, fruit/vegetable consumption, body mass index, blood pressure, high-density lipoprotein, triglycerides, and glycated hemoglobin); and (3) participation factors, i.e., differences between participants and non-participants.

resultsScreening participation rates were 56.0, 32.8, and 23.5 % for the general practices, the job centers, and the health insurance, respectively. Among eligible individuals for the CEP, respectively, 80.3, 65.5, and 96.1 % participated in the CEP. Job center clients showed the lowest socio-economic status and the most adverse CVD risk pattern. Being female predicted screening participation across all strategies (OR = 1.45, 95 % CI 1.07-1.98; OR = 1.34, 95 % CI 1.04-1.74; OR = 1.62, 95 % CI 1.16-2.27). Age predicted screening participation only within health insurance (OR = 1.04, 95 % CI 1.01-1.06). Within the general practices and the job centers, CEP participants were less likely to be smokers than non-participants (OR = 0.49, 95 % CI 0.26-0.94; OR = 0.42, 95 % CI 0.20-0.89).

conclusionThe recruitment in general practices yielded the highest reach. However, job centers may be useful to reduce health inequalities induced by social gradient.

Indexed as

ExerciseInsurance, HealthAdultAgedBlood PressureCardiovascular DiseasesFemaleGeneral PracticeHumansMaleMiddle AgedRisk FactorsSmokingSocial ClassSocioeconomic FactorsCardiovascular risk factorsNon-clinical careParticipationReachRecruitment strategy

Identifiers

PMID27469997
OpenAlexW2504768242

What OpenQuestion holds

Textmetadata
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.