Evidence map›Paper›PMID 31730474›Full record

Trial reportBMC medical research methodology2019

The feasibility of web surveys for obtaining patient-reported outcomes from cancer survivors: a randomized experiment comparing survey modes and brochure enclosures.

Morgan M Millar, Joanne W Elena, Lisa Gallicchio, Sandra L Edwards, Marjorie E Carter, Kimberly A Herget, Carol Sweeney

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Methods to increase response to postal and electronic questionnaires.The Cochrane database of systematic reviews · 2023
    Pooled it
  3. Trial
  4. Review
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  14. Observational
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  16. Utilizing SEER Cancer Registries for Population-Based Cancer Survivor Epidemiologic Studies: A Feasibility Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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

7 authors.

Morgan M MillarDepartment of Internal Medicine, 295 Chipeta Way University of Utah, Salt Lake City, UT, 84132, USA. morgan.millar@hsc.utah.edu.ORCID 0000-0001-5532-6970
Joanne W ElenaEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD, 20852, USA.
Lisa GallicchioEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD, 20852, USA.
Sandra L EdwardsUtah Cancer Registry, University of Utah, 250 E 200 S, Suite 1375, Salt Lake City, UT, 84111, USA.
Marjorie E CarterUtah Cancer Registry, University of Utah, 250 E 200 S, Suite 1375, Salt Lake City, UT, 84111, USA.
Kimberly A HergetUtah Cancer Registry, University of Utah, 250 E 200 S, Suite 1375, Salt Lake City, UT, 84111, USA.
Carol SweeneyDepartment of Internal Medicine, 295 Chipeta Way University of Utah, Salt Lake City, UT, 84132, USA.

Funding

NCI NIH HHS HHSN261201100016INCI NIH HHS HHSN261201800016CNCI NIH HHS HHSN261201800016I
6 · The paper itself

Abstract

backgroundCentral cancer registries are often used to survey population-based samples of cancer survivors. These surveys are typically administered via paper or telephone. In most populations, web surveys obtain much lower response rates than paper surveys. This study assessed the feasibility of web surveys for collecting patient-reported outcomes via a central cancer registry.

methodsPotential participants were sampled from Utah Cancer Registry records. Sample members were randomly assigned to receive a web or paper survey, and then randomized to either receive or not receive an informative brochure describing the cancer registry. We calculated adjusted risk ratios with 95% confidence intervals to compare response likelihood and the demographic profile of respondents across study arms.

resultsThe web survey response rate (43.2%) was lower than the paper survey (50.4%), but this difference was not statistically significant (adjusted risk ratio = 0.88, 95% confidence interval = 0.72, 1.07). The brochure also did not significantly influence the proportion responding (adjusted risk ratio = 1.03, 95% confidence interval = 0.85, 1.25). There were few differences in the demographic profiles of respondents across the survey modes. Older age increased likelihood of response to a paper questionnaire but not a web questionnaire.

conclusionsWeb surveys of cancer survivors are feasible without significantly influencing response rates, but providing a paper response option may be advisable particularly when surveying older individuals. Further examination of the varying effects of brochure enclosures across different survey modes is warranted.

Indexed as

InternetPamphletsPatient Reported Outcome MeasuresSurveys and QuestionnairesAdultFeasibility StudiesFemaleHumansMaleNeoplasmsPatient ParticipationRegistriesYoung AdultCancer registryCancer survivorsPatient-reported outcomesResponse rateSurvey modeSurveysWeb-push designWeb surveys

Identifiers

PMID31730474
PMCPMC6858678

What OpenQuestion holds

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LicenceCC BY
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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.