Evidence map›Paper›PMID 36786914›Full record

SynthesisJournal of patient-reported outcomes2023

Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review.

Ben G Glenwright, Joshua Simmich, Michelle Cottrell, Shaun P O'Leary, Clair Sullivan, Jason D Pole, Trevor Russell

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of patient-reported outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 5 pooled it
–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

85 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Understanding factors impacting patient-reported outcome measures integration in routine clinical practice: an umbrella review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  15. Implementation of an ePRO-based system supporting treatment readiness assessments in lung cancer care: a mixed-methods study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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25 more citing papers are in PubMed but not listed here.

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.

Ben G GlenwrightPhysiotherapy Department, Cairns Hospital, Cairns Hinterland and Hospital Health Service, Orthopaedic Ward, D6, Cairns Hospital, 165 The Esplanade, Cairns, QLD, 4870, Australia. Ben.glenwright@health.qld.gov.au.ORCID 0000-0002-9943-564X
Joshua SimmichRECOVER Injury Research Centre, University of Queensland, Brisbane, Australia.
Michelle CottrellSchool of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia.
Shaun P O'LearySchool of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia.
Clair SullivanCentre for Health Services Research, University of Queensland, Brisbane, Australia.
Jason D PoleCentre for Health Services Research, University of Queensland, Brisbane, Australia.
Trevor RussellSchool of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis systematic literature review aimed to identify factors that influence the implementation of electronic patient-reported outcome measures (ePROMs) and patient-reported experience measures (ePREMs) in healthcare settings.

introductionImprovements in health care through increased patient engagement have gained traction in recent years. Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are tools used to improve the quality of care from the patient perspective. The influence of implementing PROMs and PREMs using electronic information systems (ePROMs and ePREMs) is not well understood. INCLUSION CRITERIA: Studies with information related to the implementation of ePROMs and/or ePREMs with a focus on health-related services, irrespective of provider type, were included.

methodsA literature search of peer-reviewed databases was conducted on the 24th of January 2022 for articles about barriers and facilitators of the implementation of ePROMs/ePREMs in healthcare settings. Two reviewers independently extracted relevant findings from the included studies and performed a descriptive code-based synthesis before collaboratively creating a final consensus set of code categories, which were then mapped to the consolidated framework of implementation research (CFIR). Study quality was appraised using a mixed-methods appraisal tool (MMAT).

results24 studies were eligible for inclusion in the screening of 626 nonduplicate studies. Quality assessment using the MMAT revealed that 20/24 studies met at least 60% of the MMAT criteria. Ninety-six code categories were identified and mapped to the constructs across all CFIR domains.

conclusionTo guide the effective implementation of ePROMs/ePREMs in healthcare settings, factors shown to influence their implementation have been summarised as an implementation checklist for adoption and use by clinicians, organisations, and policymakers.

Indexed as

Delivery of Health CareHealth FacilitiesHumansPatient Reported Outcome Measures

Identifiers

PMID36786914
PMCPMC9928985

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.