ArticleBMJ open2024
Enhancing representativeness of patient-reported outcomes in routine radiation oncology care: a quality improvement protocol to address non-response.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
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Who cites it
4 citing papers in PubMed.
- Multilevel factors associated with nonresponse to patient-reported outcome measures in routine radiation oncology care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Patient-reported symptom assessments and early chemotherapy discontinuation in routine gastrointestinal cancer care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Patient-Reported Outcome Measures Used in Primary Hyperparathyroidism: A Scoping Review.Annals of surgical oncology · 2026Article
- Towards enhancing the representativeness of patient-reported outcomes collection at community cancer centers.Advances in patient-reported outcomes · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
introductionNon-response significantly undermines the representativeness of patient-reported outcome (PRO) data, thereby compromising its utility for facilitating high-value, equitable, patient-centred care in cancer clinics. Quality improvement studies are needed to assess the representativeness of PRO data collected in routine care, identify the underlying causes of non-response and develop novel methods to ensure data representativeness. Using a multilevel framework and a mixed-methods approach, we have three aims: (1) characterise the non-response of the Global-10 across clinic, provider and patient levels; (2) identify multilevel causes of non-response and potential strategies to improve representativeness in PRO collection; and (3) develop effective modifications to missing-data methods to enhance the representativeness of pre-existing PRO data. METHODS AND ANALYSIS: Our primary data source is the Patient Reported Outcomes Measurement Information System Global-10, collected as part of routine care at the Radiation Oncology clinics within the Mass General Brigham (MGB) healthcare system. Other sources include (1) Harvard Catalyst for provider-specific data, (2) MGB administrative data, (3) public Centers for Medicare & Medicaid Services data and (4) the National Plan and Provider Enumeration System. We will conduct quantitative analyses to assess variations in Global-10 non-response across multilevel factors. Additionally, we will use qualitative interviews with patients and clinical professionals to understand the causes of non-response and to formulate strategies to expand the reach of PRO collection to underrepresented cancer patients, improve their completions and enhance overall data representativeness. Finally, we will integrate implementation science knowledge and findings from the first two aims into missing-data methods to manage non-response in the pre-existing Global-10 data and to evaluate their performance in preserving representativeness. ETHICS AND DISSEMINATION: The study protocol was reviewed and approved by the Institutional Review Board at the Dana-Farber/Harvard Cancer Center (24-225). Written informed consent will be obtained from participants. Study findings will be disseminated through peer-reviewed publications and presentations at national and international conferences.
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