Evidence map›Paper›PMID 21208413›Full record

ArticleBMC public health2011

Intervention mapping for the development of a strategy to implement the insurance medicine guidelines for depression.

Feico Zwerver, Antonius J M Schellart, Johannes R Anema, Kathelijne C Rammeloo, Allard J van der Beek

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  16. Methods to Improve the Selection and Tailoring of Implementation Strategies.The journal of behavioral health services & research · 2017
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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.

Feico ZwerverVU University Medical Center, Department of Public and Occupational Health, EMGO Institute for Health and Care Research, Amsterdam, The Netherlands. f.zwerver@vumc.nl
Antonius J M Schellart
Johannes R Anema
Kathelijne C Rammeloo
Allard J van der Beek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis article describes the development of a strategy to implement the insurance medicine guidelines for depression. Use of the guidelines is intended to result in more transparent and uniform assessment of claimants with depressive symptoms.

methodsThe implementation strategy was developed using the Intervention Mapping (IM) method for alignment with insurance-medical practice. The ASE behavioural explanation model (Attitude, Social Influence and Self-Efficacy) was used as theoretical basis for the development work. A literature study of implementation strategies and interviews with insurance physicians were performed to develop instruments for use with the guideline. These instruments were designed to match the needs and the working circumstances of insurance physicians. Performance indicators to measure the quality of the assessment and the adherence to the guidelines were defined with input from insurance physicians.

resultsThis study resulted in the development of a training course to teach insurance physicians how to apply the guidelines for depression, using the aforementioned instruments. The efficacy of this training course will be evaluated in a Randomized Controlled Trial.

conclusionsThe use of IM made it possible to develop guideline support instruments tailored to insurance medical practice.

Indexed as

Guidelines as TopicDepressive DisorderDisability EvaluationGuideline AdherenceHumansInsurance, HealthNetherlandsPractice Management, MedicalResearch DesignSurveys and Questionnaires

Identifiers

PMID21208413
PMCPMC3022701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.