Evidence map›Paper›PMID 35935674›Full record

ArticleNIHR open research2022

The person-based development and realist evaluation of a summary report for GP consultations [version 1; peer review: 2 approved].

Mairead Murphy, Geoff Wong, Anne Scott, Victoria Wilson, Chris Salisbury

Abstract read
In one paragraph

Article in NIHR open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Mairead MurphyBristol Medical School, University of Bristol, Bristol, BS8 2PS, UK.ORCID https://orcid.org/0000-0002-3550-2727
Geoff WongNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.ORCID https://orcid.org/0000-0002-5384-4157
Anne ScottBristol Medical School, University of Bristol, Bristol, BS8 2PS, UK.
Victoria WilsonBristol Medical School, University of Bristol, Bristol, BS8 2PS, UK.
Chris SalisburyBristol Medical School, University of Bristol, Bristol, BS8 2PS, UK.

Funding

Department of Health PB-PG-1217-20012
6 · The paper itself

Abstract

Background: Use of telephone, video and e-consultations is increasing. These can make consultations more transactional. This study aimed to develop a complex intervention to address patients' concerns more comprehensively in general practice and test the feasibility of this in a cluster-randomised framework.The complex intervention used two technologies: a patient-completed pre-consultation form used at consultation opening and a doctor-provided summary report provided at consultation closure. This paper reports on the development and realist evaluation of the summary report. Methods: A person-based approach was used to develop the summary report. An electronic protocol was designed to automatically generate the report after GPs complete a clinical template in the patient record. This was tested with 45 patients in 3 rounds each, with iterative adjustments made based on feedback after each round. Subsequently, an intervention incorporating the pre-consultation form with the summary report was then tested in a cluster-randomised framework with 30 patients per practice in six practices: four randomised to intervention, and two to control. An embedded realist evaluation was carried out. The main feasibility study results are reported elsewhere. Results: Conclusions: The person-based approach was successful. The summary report creates clarity, empowerment and reassurance in certain consultations and patients. As it takes a few minutes per patient, GPs prefer to select patients who will benefit most.

Indexed as

GP consultationsGP-patient communicationperson-based approachrealist evaluation

Identifiers

PMID35935674
PMCPMC7613240

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.