Evidence map›Paper›PMID 27551424›Full record

ArticleSAGE open medicine2016

Recruitment of general practices: Is a standardised approach helpful in the involvement of healthcare professionals in research?

Allan Riis, Cathrine E Jensen, Helle T Maindal, Flemming Bro, Martin B Jensen

Abstract read
In one paragraph

Article in SAGE open medicine, 2016. 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.

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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.

Allan RiisResearch Unit for General Practice in Aalborg, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Cathrine E JensenDanish Center for Health Care Improvements, Aalborg University, Aalborg, Denmark.
Helle T MaindalDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Flemming BroResearch Unit for General Practice, Aarhus University, Aarhus, Denmark.
Martin B JensenResearch Unit for General Practice in Aalborg, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth service research often involves the active participation of healthcare professionals. However, their ability and commitment to research varies. This can cause recruitment difficulties and thereby prolong the study period and inflate budgets. Solberg has identified seven R-factors as determinants for successfully recruiting healthcare professionals: relationships, reputation, requirements, rewards, reciprocity, resolution, and respect.

methodThis is a process evaluation of the seven R-factors. We applied these factors to guide the design of our recruitment strategy as well as to make adjustments when recruiting general practices in a guideline implementation study. In the guideline implementation study, we studied the effect of outreach visits, quality reports, and new patient stratification tools for low back pain patients.

resultsDuring a period of 15 months, we recruited 60 practices, which was fewer than planned (100 practices). In this evaluation, five of Solberg's seven R-factors were successfully addressed and two factors were not. The need to involve (reciprocity) end users in the development of new software and the amount of time needed to conduct recruitment (resolution) were underestimated.

conclusionThe framework of the seven R-factors was a feasible tool in our recruitment process. However, we suggest further investigation in developing systematic approaches to support the recruitment of healthcare professionals to research.

Indexed as

general practicelow back painprocess evaluationResearch methodsresearch subject recruitment

Identifiers

PMID27551424
PMCPMC4976791

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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.