Evidence map›Paper›PMID 35624456›Full record

ArticleBMC medical informatics and decision making2022

Development and user-testing of a digital patient decision aid to facilitate shared decision-making for people with stable angina.

Emma Harris, Dwayne Conway, Angel Jimenez-Aranda, Jeremy Butts, Philippa Hedley-Takhar, Richard Thomson, Felicity Astin

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. 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

7 authors at 5 institutions in 1 country.

Emma HarrisCentre for Applied Research in Health, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.
Dwayne ConwaySheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Angel Jimenez-ArandaSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Jeremy ButtsCalderdale and Huddersfield NHS Foundation Trust, Huddersfield, UK.
Philippa Hedley-TakharSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Richard ThomsonPopulation Health Sciences Institute, Newcastle University, Newcastle, UK.
Felicity AstinCentre for Applied Research in Health, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK. f.astin@hud.ac.uk.
Calderdale and Huddersfield NHS Foundation Trust · GBSheffield Teaching Hospitals NHS Foundation Trust · GBDevices for Dignity · GBNewcastle University · GBUniversity of Huddersfield · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundResearch shows that people with stable angina need decision support when considering elective treatments. Initial treatment is with medicines but patients may gain further benefit with invasive percutaneous coronary intervention (PCI). Choosing between these treatments can be challenging for patients because both confer similar benefits but have different risks. Patient decision aids (PtDAs) are evidence-based interventions that support shared decision-making (SDM) when making healthcare decisions. This study aimed to develop and user-test a digital patient decision aid (CONNECT) to facilitate SDM for people with stable angina considering invasive treatment with elective PCI.

methodsA multi-phase study was conducted to develop and test CONNECT (COroNary aNgioplasty dECision Tool) using approaches recommended by the International Patient Decision Aid Standards Collaboration: (i) Steering Group assembled, (ii) review of clinical guidance, (iii) co-design workshops with patients and cardiology health professionals, (iv) first prototype developed and 'alpha' tested (semi-structured cognitive interviews and 12-item acceptability questionnaire) with patients, cardiologists and cardiac nurses, recruited from two hospitals in Northern England, and (v) final PtDA refined following iterative user-feedback. Quantitative data were analysed descriptively and qualitative data from the interviews analysed using deductive content analysis.

resultsCONNECT was developed and user-tested with 34 patients and 29 cardiology health professionals. Findings showed that CONNECT was generally acceptable, usable, comprehensible, and desirable. Participants suggested that CONNECT had the potential to improve care quality by personalising consultations and facilitating SDM and informed consent. Patient safety may be improved as CONNECT includes questions about symptom burden which can identify asymptomatic patients unlikely to benefit from PCI, as well as those who may need to be fast tracked because of worsening symptoms.

conclusionsCONNECT is the first digital PtDA for people with stable angina considering elective PCI, developed in the UK using recommended processes and fulfilling international quality criteria. CONNECT shows promise as an approach to facilitate SDM and should be evaluated in a clinical trial. Further work is required to standardise the provision of probabilistic risk information for people considering elective PCI and to understand how CONNECT can be accessible to underserved communities.

Indexed as

Angina, StablePercutaneous Coronary InterventionDecision MakingDecision Making, SharedDecision Support TechniquesHumansAnginaCoronary angioplastyDecision aidPatient-centred carePercutaneous coronary interventionShared decision-making

Identifiers

PMID35624456
PMCPMC9137092
OpenAlexW4281626258

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.