SynthesisJournal of the American Medical Informatics Association : JAMIA2025
Electronic patient-reported outcome measures for triaging and scheduling outpatient appointments: a systematic review and meta-analysis.
Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors associated with response to patient-reported outcome measures: a systematic review of systematic and scoping reviews, and meta-analyses.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Pooled it
- Use and Performance of Language-based Artificial Intelligence (AI) Models to Screen for Depressive Disorders.Current psychiatry reports · 2026Review
- Biomedical and health informatics Potpourri.Journal of the American Medical Informatics Association : JAMIA · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aims to review the effectiveness of electronic patient-reported outcome measures (ePROMs) to triage and schedule appointments for adult patients with chronic medical conditions. MATERIALS AND
methodsA structured search was implemented in electronic databases for randomized controlled trials that compared use of ePROMs to facilitate flexible scheduling of appointments (intervention) with conventional scheduling practices (control) in adult outpatients with chronic medical condition. The primary outcome was the difference in healthcare utilization, measured by the number of outpatient physical appointments. Secondary outcomes include disease control and implementational outcomes. A meta-analysis using random effects modeling was performed.
resultsThe search strategy yielded 3769 citations and 1 additional article from hand search; 17 randomized controlled trials (6469 patients) were included. Most studies focused on cancer (n = 9) or rheumatoid arthritis (n = 3). Six out of 10 studies comparing the number of physical appointments showed that ePROMs significantly reduced the mean number of physical appointments, while 1 study reported increased appointments. A meta-analysis of 6 studies with sufficient data for pooling indicated that the ePROMs group had fewer appointments, with a mean difference of -1.12 (CI, -1.87 to -0.37). Among 10 studies evaluating disease control, 2 showed improved disease control with ePROMs, 2 reported improved survival in cancer patients, while 6 found no significant differences. DISCUSSION: Current evidence supports the feasibility and acceptability of incorporating ePROMs in outpatient visit scheduling, with a reduction in physical appointments without compromising disease outcomes.
conclusionePROMs can be used to support and guide decisions regarding outpatient appointment scheduling.
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Registered trials
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.