Evidence map›Paper›PMID 31298217›Full record

Trial reportJournal of medical Internet research2019

Computerized Quality of Life Assessment: A Randomized Experiment to Determine the Impact of Individualized Feedback on Assessment Experience.

Daan Geerards, Andrea Pusic, Maarten Hoogbergen, René van der Hulst, Chris Sidey-Gibbons

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  5. Using a modified Delphi procedure to select a PRO-CTCAE-based subset for patient-reported symptomatic toxicity monitoring in rectal cancer patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  9. Review
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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

5 authors.

Daan GeerardsPatient-Reported Outcomes, Value & Experience Center, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-0116-7115
Andrea PusicPatient-Reported Outcomes, Value & Experience Center, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0003-4352-9409
Maarten HoogbergenDepartment of Plastic and Reconstructive Surgery, Catharina Hospital, Eindhoven, Netherlands.ORCID 0000-0001-9546-4155
René van der HulstDepartment of Plastic and Reconstructive Surgery, Maastricht University Medical Center, Maastricht, Netherlands.ORCID 0000-0002-3904-118X
Chris Sidey-GibbonsPatient-Reported Outcomes, Value & Experience Center, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-4732-7305

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality of life (QoL) assessments, or patient-reported outcome measures (PROMs), are becoming increasingly important in health care and have been associated with improved decision making, higher satisfaction, and better outcomes of care. Some physicians and patients may find questionnaires too burdensome; however, this issue could be addressed by making use of computerized adaptive testing (CAT). In addition, making the questionnaire more interesting, for example by providing graphical and contextualized feedback, may further improve the experience of the users. However, little is known about how shorter assessments and feedback impact user experience.

objectiveWe conducted a controlled experiment to assess the impact of tailored multimodal feedback and CAT on user experience in QoL assessment using validated PROMs.

methodsWe recruited a representative sample from the general population in the United Kingdom using the Oxford Prolific academic Web panel. Participants completed either a CAT version of the World Health Organization Quality of Life assessment (WHOQOL-CAT) or the fixed-length WHOQOL-BREF, an abbreviated version of the WHOQOL-100. We randomly assigned participants to conditions in which they would receive no feedback, graphical feedback only, or graphical and adaptive text-based feedback. Participants rated the assessment in terms of perceived acceptability, engagement, clarity, and accuracy.

resultsWe included 1386 participants in our analysis. Assessment experience was improved when graphical and tailored text-based feedback was provided along with PROMs (Δ=0.22, P<.001). Providing graphical feedback alone was weakly associated with improvement in overall experience (Δ=0.10, P=.006). Graphical and text-based feedback made the questionnaire more interesting, and users were more likely to report they would share the results with a physician or family member (Δ=0.17, P<.001, and Δ=0.17, P<.001, respectively). No difference was found in perceived accuracy of the graphical feedback scores of the WHOQOL-CAT and WHOQOL-BREF (Δ=0.06, P=.05). CAT (stopping rule [SE<0.45]) resulted in the administration of 25% fewer items than the fixed-length assessment, but it did not result in an improved user experience (P=.21).

conclusionsUsing tailored text-based feedback to contextualize numeric scores maximized the acceptability of electronic QoL assessment. Improving user experience may increase response rates and reduce attrition in research and clinical use of PROMs. In this study, CAT administration was associated with a modest decrease in assessment length but did not improve user experience. Patient-perceived accuracy of feedback was equivalent when comparing CAT with fixed-length assessment. Fixed-length forms are already generally acceptable to respondents; however, CAT might have an advantage over longer questionnaires that would be considered burdensome. Further research is warranted to explore the relationship between assessment length, feedback, and response burden in diverse populations.

Indexed as

Patient Reported Outcome MeasuresAdolescentAdultAgedComputersFeedbackFemaleHumansMaleMiddle AgedPsychometricsQuality of LifeSurveys and QuestionnairesYoung Adultcomputer-adaptive testingfeedbackoutcome assessmentpatient-reported outcome measurespsychometricsquality of lifeWHOQOL

Identifiers

PMID31298217
PMCPMC6657452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.