Evidence map›Paper›PMID 42848401›Full record

ArticleJAMA network open2026

Development and Validation of a Tool to Measure Documented Health Care Encounter Time.

Ronald Chow, Sarah Bayrakdarian, Olivera Gojsevic, Emily MacMillan, Tracy Balboni, Joanne Bowen, Eduardo Bruera, Raymond J Chan, Arjun Gupta, Nicolas H Hart and 16 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Ronald ChowOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Sarah BayrakdarianOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Olivera GojsevicOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Emily MacMillanOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Tracy BalboniDana-Farber Cancer Institute/Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Joanne BowenSchool of Pharmacy and Biomedical Science, Adelaide University, Adelaide, South Australia, Australia.
Eduardo BrueraThe University of Texas MD Anderson Cancer Center, Houston.
Raymond J ChanCaring Futures Institute, College of Health and Enablement, Flinders University, Adelaide, South Australia, Australia.
Arjun GuptaCity of Hope Cancer Center Phoenix, Phoenix, Arizona.
Nicolas H HartCaring Futures Institute, College of Health and Enablement, Flinders University, Adelaide, South Australia, Australia.
Peter HoskinMount Vernon Cancer Centre, Northwood, United Kingdom.
David HuiThe University of Texas MD Anderson Cancer Center, Houston.
Hirotoshi IiharaDepartment of Pharmacy, Gifu University Hospital, Gifu, Japan.
Michael JeffordCentre for Health Services Research in Cancer, Australia Cancer Survivorship Centre, and Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Shing Fung LeeDepartment of Radiation Oncology, National University Cancer Institute, National University Hospital, Singapore.
Rachel RiechelmannClinical Oncology Department, AC Camargo Cancer Center, Sao Paulo, Brazil.
Hope S RugoDepartment of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, California.
Christina H RuhlmannDepartment of Oncology, Odense University Hospital, Odense, Denmark.
Charles B SimoneNew York Proton Center, Memorial Sloan Kettering Cancer Center, New York, New York.
Henry C Y WongNew York Proton Center, Memorial Sloan Kettering Cancer Center, New York, New York.
Camilla ZimmermannPrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.
Hans ChungOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Georgia C RichardsDepartment of Toxicology and Forensic Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Carl HeneghanCentre for Evidence-Based Medicine, University of Oxford, Oxford, United Kingdom.
Jennifer LeighOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
MASCC Emerging Toxicities Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Time toxicity, defined as the time patients spend receiving cancer treatment and interacting with health care systems, is an emerging treatment-related burden. Existing studies typically quantify time toxicity using health care contact days, which may inadequately capture patient burden because encounters of different durations are weighted equally. Objective: To develop and internally validate the Multinational Association of Supportive Care in Cancer (MASCC) Time Intensity and Measurement of Encounters (TIME) tool, a standardized medical record abstraction instrument for measuring documented health care encounter time. Design, Setting, and Participants: This multiphase mixed-methods prognostic study, including tool development, was conducted from March to May 2026, through a 3-round international consensus process involving 16 oncology trialists from 9 countries and internal validation using electronic medical records from a cohort of patients with prostate cancer treated at a tertiary cancer center in Toronto, Ontario, Canada. Validation compared standardized abstraction using the MASCC TIME tool with prior unstructured medical record abstraction across 367 health care encounters. Main Outcomes and Measures: Content validity, extraction accuracy compared with investigator consensus review, interrater reliability assessed using the Gwet agreement coefficient 1 (AC1) and percentage agreement, and abstraction feasibility. Results: Sixteen oncology trialists participated in tool development. The final tool included 8 variables: encounter start date, start time, end date, end time, purpose, planned or unplanned status, mode of contact, and primary clinician. All variables achieved a content validity ratio of 1.0. Accuracy of medical record extraction increased from 31% (95% CI, 28%-35%) to 90% (95% CI, 87%-93%) without the tool to 66% (95% CI, 62%-69%) to 99% (95% CI, 99%-100%) with the tool, with absolute differences of 2 percentage points (95% CI, -1 to 5 percentage points) to 35 percentage points (95% CI, 30 to 40 percentage points); 7 of 8 variables demonstrated statistically significant increases with the tool. Percentage agreement between abstractors increased from 31% to 82% without the tool to 42% to 99% with the tool, while the Gwet AC1 increased from -0.24 to 0.87 without the tool to 0.14 to 0.99 with the tool. Mean abstraction time decreased from 10 to 5 minutes per encounter. Conclusions and Relevance: In this prognostic study of the MASCC TIME tool, it was found to be associated with excellent content validity, improved accuracy, high interrater reliability, and acceptable feasibility for standardized measurement of documented health care encounter time. Standardized assessment of time toxicity may improve comparability across oncology studies and support more rigorous evaluation of health care-related burden in cancer research.

Indexed as

Electronic Health RecordsProstatic NeoplasmsHumansMaleOntarioReproducibility of ResultsTime Factors

Identifiers

What Socratic holds

Textmetadata
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Registered trials

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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 Socratic graph.