Evidence map›Paper›PMID 34637526›Full record

SynthesisThe Cochrane database of systematic reviews2021

Routine provision of feedback from patient-reported outcome measurements to healthcare providers and patients in clinical practice.

Chris Gibbons, Ian Porter, Daniela C Gonçalves-Bradley, Stanimir Stoilov, Ignacio Ricci-Cabello, Elena Tsangaris, Jaheeda Gangannagaripalli, Antoinette Davey, Elizabeth J Gibbons, Anna Kotzeva and 7 more

Abstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 10 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

151 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Factors associated with response to patient-reported outcome measures: a systematic review of systematic and scoping reviews, and meta-analyses.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  6. 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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  7. Response shift results of quantitative research using patient-reported outcome measures: a descriptive systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  10. Adult patient access to electronic health records.The Cochrane database of systematic reviews · 2021
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  20. Fatigue: assess and address it.Journal of patient-reported outcomes · 2026
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91 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Chris GibbonsHarvard Medical School, Boston, MA, USA.
Ian PorterHealth Services & Policy Research, University of Exeter Medical School, Exeter, UK.
Daniela C Gonçalves-BradleyCenter for Health Technology and Services Research (CINTESIS), Porto, Portugal.
Stanimir StoilovCollege of Medicine and Health, University of Exeter Medical School, University of Exeter, Exeter, UK.
Ignacio Ricci-CabelloPrimary Care Research Unit, Instituto de Investigación Sanitaria Illes Balears, Palma de Mallorca, Spain.
Elena TsangarisDepartment of Surgery, Harvard Medical School, Boston, USA.
Jaheeda GangannagaripalliHealth Services and Policy Research Group, University of Exeter Medical School, Exeter, UK.
Antoinette DaveyHealth Services and Policy Research Group, University of Exeter Medical School, Exeter, UK.
Elizabeth J GibbonsPROM Group, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Anna KotzevaHealth Technology Assessment Department, Agency for Health Quality and Assessment of Catalonia (AQuAS), Barcelona, Spain.
Jonathan EvansHealth Services and Policy Research Group, University of Exeter Medical School, Exeter, UK.
Philip J van der WeesRadboud University Medical Center, Radboud Institute for Health Sciences, Scientific Institute for Quality of Healthcare (IQ healthcare), Nijmegen, Netherlands.
Evangelos KontopantelisCentre for Health Informatics, Institute of Population Health, The University of Manchester, Manchester, UK.
Joanne GreenhalghSchool of Sociology and Social Policy, University of Leeds, Leeds, UK.
Peter BowerNIHR School for Primary Care Research, Manchester Academic Health Science Centre, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK.
Jordi AlonsoCIBER Epidemiologia y Salud Publica (CIBERESP), IMIM-Hospital del mar, Barcelona, Spain.
Jose M ValderasHealth Services & Policy Research, Exeter Collaboration for Academic Primary Care (APEx), NIHR School for Primary Care Research, NIHR ARC South West Peninsula (PenARC), University of Exeter, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-reported outcomes measures (PROMs) assess a patient's subjective appraisal of health outcomes from their own perspective. Despite hypothesised benefits that feedback  on PROMs can support decision-making in clinical practice and improve outcomes, there is uncertainty surrounding the effectiveness of PROMs feedback.

objectivesTo assess the effects of PROMs feedback to patients, or healthcare workers, or both on patient-reported health outcomes and processes of care. SEARCH

methodsWe searched MEDLINE, Embase, CENTRAL, two other databases and two clinical trial registries on 5 October 2020. We searched grey literature and consulted experts in the field. SELECTION CRITERIA: Two review authors independently screened and selected studies for inclusion. We included randomised trials directly comparing the effects on outcomes and processes of care of PROMs feedback to healthcare professionals and patients, or both with the impact of not providing such information. DATA COLLECTION AND ANALYSIS: Two groups of two authors independently extracted data from the included studies and evaluated study quality. We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. We conducted meta-analyses of the results where possible. MAIN

resultsWe identified 116 randomised trials which assessed the effectiveness of PROMs feedback in improving processes or outcomes of care, or both in a broad range of disciplines including psychiatry, primary care, and oncology. Studies were conducted across diverse ambulatory primary and secondary care settings in North America, Europe and Australasia. A total of 49,785 patients were included across all the studies. The certainty of the evidence varied between very low and moderate. Many of the studies included in the review were at risk of performance and detection bias. The evidence suggests moderate certainty that PROMs feedback probably improves quality of life (standardised mean difference (SMD) 0.15, 95% confidence interval (CI) 0.05 to 0.26; 11 studies; 2687 participants), and leads to an increase in patient-physician communication (SMD 0.36, 95% CI 0.21 to 0.52; 5 studies; 658 participants), diagnosis and notation (risk ratio (RR) 1.73, 95% CI 1.44 to 2.08; 21 studies; 7223 participants), and disease control (RR 1.25, 95% CI 1.10 to 1.41; 14 studies; 2806 participants). The intervention probably makes little or no difference for general health perceptions (SMD 0.04, 95% CI -0.17 to 0.24; 2 studies, 552 participants; low-certainty evidence), social functioning (SMD 0.02, 95% CI -0.06 to 0.09; 15 studies; 2632 participants; moderate-certainty evidence), and pain (SMD 0.00, 95% CI -0.09 to 0.08; 9 studies; 2386 participants; moderate-certainty evidence). We are uncertain about the effect of PROMs feedback on physical functioning (14 studies; 2788 participants) and mental functioning (34 studies; 7782 participants), as well as fatigue (4 studies; 741 participants), as the certainty of the evidence was very low. We did not find studies reporting on adverse effects defined as distress following or related to PROM completion. AUTHORS'

conclusionsPROM feedback probably produces moderate improvements in communication between healthcare professionals and patients as well as in diagnosis and notation, and disease control, and small improvements to quality of life. Our confidence in the effects is limited by the risk of bias, heterogeneity and small number of trials conducted to assess outcomes of interest. It is unclear whether   many of these improvements are clinically meaningful or sustainable in the long term. There is a need for more high-quality studies in this area, particularly studies which employ cluster designs and utilise techniques to maintain allocation concealment.

Indexed as

Health PersonnelQuality of LifeFeedbackHumansPatient Reported Outcome MeasuresPrimary Health Care

Identifiers

PMID34637526
PMCPMC8509115

What Socratic holds

Textmetadata
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 Socratic graph.