Evidence map›Paper›PMID 38191500›Full record

ArticleResearch involvement and engagement2024

Evaluating participant experiences of Community Panels to scrutinise policy modelling for health inequalities: the SIPHER Consortium.

Ellen Stewart, SIPHER Greater Manchester Community Panel, SIPHER Scotland Community Panel, SIPHER Sheffield Community Panel, Elizabeth Such

Open access · goldAbstract readLetter
In one paragraph

Article in Research involvement and engagement, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.4field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Involving Knowledge Users in Health Services Research: Collective Reflections and Learning From a National Evaluation of Recurrent Miscarriage Services.Health expectations : an international journal of public participation in health care and health policy · 2024
    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 at 2 institutions in 1 country.

Ellen StewartUniversity of Strathclyde, Glasgow, UK. ellen.stewart@strath.ac.uk.
SIPHER Greater Manchester Community Panel
SIPHER Scotland Community Panel
SIPHER Sheffield Community Panel
Elizabeth SuchUniversity of Nottingham, Nottingham, UK.
University of Nottingham · GBUniversity of Strathclyde · GB

Funding

Medical Research Council MR/S037578/1Medical Research Council MR/S037578/2
6 · The paper itself

Abstract

Data-intensive research, including policy modelling, poses some distinctive challenges for efforts to mainstream public involvement into health research. There is a need for learning about how to design and deliver involvement for these types of research which are highly technical, and where researchers are at a distance from the people whose lives data depicts. This article describes our experiences involving members of the public in the SIPHER Consortium, a data-intensive policy modelling programme with researchers and policymakers working together over five years to try to address health inequalities. We focus on evaluating people's experiences as part of Community Panels for SIPHER. Key issues familiar from general public involvement efforts include practical details, careful facilitation of meetings, and payment for participants. We also describe some of the more particular learning around how to communicate technical research to non-academic audiences, in order to enable public scrutiny of research decisions. We conclude that public involvement in policy modelling can be meaningful and enjoyable, but that it needs to be carefully organised, and properly resourced.

Indexed as

Data-intensive researchEvaluationHealth inequalitiesPolicy modellingPublic involvement

Identifiers

PMID38191500
PMCPMC10775539
OpenAlexW4390661532

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.