Evidence map›Paper›PMID 40730414›Full record

ArticleBMJ open quality2025

Understanding physicians' views on patient-reported outcome measures (PROMs) in lung cancer care: a qualitative approach.

Abel García Abejas, João Marques Gomes, Maria Eduarda Andrade, Daniel Canelas, Maria Ana Sobral, Fábio Leite Costa, Àngels Salvador Vergès

Abstract read
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Article in BMJ open quality, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Abel García AbejasFaculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal abel.abejas@fcsaude.ubi.pt.ORCID 0000-0002-4115-5012
João Marques GomesNOVA University Lisbon NOVA School of Business and Economics, Carcavelos, Portugal.
Maria Eduarda AndradeUniversidade de Lisboa, Lisbon, Portugal.ORCID 0000-0003-3676-3184
Daniel CanelasFaculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal.ORCID 0000-0003-2219-569X
Maria Ana SobralPalliative care, CUF, Carnaxide, Portugal.
Fábio Leite CostaFaculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal.ORCID 0000-0001-9403-8816
Àngels Salvador VergèsMedicine, UVic-UCC, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-reported outcome measures (PROMs) are increasingly recognised as valuable tools for personalising care pathways and improving the quality of life for patients with lung cancer. PROMs capture patients' perceptions of symptoms and functional status, while patient-reported experience measures focus on how patients perceive the care process, communication, empathy and accessibility. However, integrating PROMs into clinical practice remains challenging. This study explores physicians' perceptions of PROMs in lung cancer care, their impact and the barriers and facilitators to their implementation.

objectivesThis study seeks to understand physicians' perspectives on the role of PROMs in enhancing the quality of life, dignity and autonomy of patients with lung cancer and to identify key barriers and facilitators to their integration into clinical practice.

methods16 semistructured interviews were conducted with physicians treating patients with lung cancer. A hybrid thematic analysis was used to identify key themes and patterns in the data.

resultsThree main themes emerged: (1) patient-related factors, such as health literacy and emotional distress; (2) the influence of social and family environments and (3) the role of PROMs in clinical decision-making. While PROMs were valued for their potential to improve care, barriers like digital literacy and socioeconomic factors hindered their application. Specifically, the study found that while physicians valued the potential of PROMs to improve patient care, several barriers, including patients' digital literacy and socioeconomic factors, hindered their practical application.

conclusionsPROMs offer a pathway to enhance patient-centred care in lung cancer treatment. However, their successful integration requires addressing barriers such as health literacy, digital access and multidisciplinary collaboration. Future research should focus on strategies for effective PROM integration into clinical workflows and investigate methods for effectively integrating PROMs into routine clinical workflows.

Indexed as

Lung NeoplasmsPatient Reported Outcome MeasuresPerceptionPhysiciansAdultAttitude of Health PersonnelFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchQuality of LifeHealthcare quality improvementHealth professions educationOutcome Assessment, Health CarePatient safetyQualitative research

Identifiers

PMID40730414
PMCPMC12306473

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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.