Evidence map›Paper›PMID 41645212›Full record

ArticleBMC health services research2026

Patient-reported outcome and experience measures in primary care: a scoping review of systematic collection and use.

Candan Kendir, Angel Gonzalez de la Fuente, Dionne Kringos, Michael van den Berg, Jose Maria Valderas, Niek Klazinga

Abstract readScoping Review
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Candan Kendir *Directorate for Employment, Labour and Social Affairs, Organisation for Economic Co- Operation and Development (OECD), Paris, France. Candan.kendir@oecd.org.
Angel Gonzalez de la Fuente *Directorate for Employment, Labour and Social Affairs, Organisation for Economic Co- Operation and Development (OECD), Paris, France. Angel.gonzalez@oecd.org.
Dionne KringosPublic and Occupational Health, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Michael van den BergDirectorate for Employment, Labour and Social Affairs, Organisation for Economic Co- Operation and Development (OECD), Paris, France.
Jose Maria ValderasDepartment of Family Medicine, National University Health System, Singapore, Singapore.
Niek KlazingaPublic and Occupational Health, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are increasingly recognised as essential instruments for improving quality of care, accountability, and person-centredness. Primary care, as the entry point and coordinator of most patient journeys, is uniquely positioned to capture these insights systematically. Yet, while PROMs and PREMs are increasingly established in hospital and condition-specific contexts, evidence on their systematic implementation across primary care systems remains fragmented. This scoping review aimed to explore current programmes to the systematic collection and use of PROMs and PREMs in primary care, identifying common purposes, mechanisms, and enabling and challenging conditions across health system (macro) and organisational (meso) levels.

methodsA scoping review was conducted following Arksey and O’Malley’s framework, refined by Levac et al. Peer-reviewed articles were searched across PubMed, Scopus, Web of Science, Embase, and complemented by grey literature search via Overton. Studies published in English or French between 2009 and 2024 were included. Data were charted to describe implementation scope, purpose, data collection mechanisms, and uses at different system levels.

resultsAfter screening 3,762 records and reviewing 211 full texts, 18 programmes met inclusion criteria. The initiatives identified revealed substantial diversity in purpose, maturity, and integration. Five programmes were primarily oriented to clinical care and quality improvement, while five national survey programmes embedded PREMs within performance monitoring and accountability frameworks. Reported enablers included clear governance structures and sustained funding (n = 6), interoperability with electronic health records or national data repositories (n = 8) and sustained professional and patient engagement (n = 4). PROMs most frequently addressed health-related quality of life/functioning and mental health domains (n = 7), whereas PREMs focused on access, communication, continuity and person-centredness (n = 8). Patient-reported data were used to support organisational learning cycles (n = 5), regional/national benchmarking and equity monitoring (n = 5), and system-level accountability (n = 3).

conclusionSystematic use of PROMs and PREMs at the macro and meso levels in primary care remains uneven, with limited but growing examples of embedding in infrastructures that link patient-reported data to quality improvement and policy. Strengthening governance, digital integration, and capacity for interpretation and use is essential to realise their potential for accountability, equity, and person-centred primary care.

Indexed as

Patient Reported Outcome MeasuresPrimary Health CareData CollectionHumansPatient-Centered CarePatient SatisfactionQuality of Health CareHealthcare systems performancePatient reported experience measuresPatient reported outcome measuresPREMsPrimary carePROMsQuality of care

Identifiers

PMID41645212
PMCPMC12922254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.