SynthesisBMJ open2025
Reducing outpatient wait times through telemedicine: a systematic review and quantitative analysis.
Synthesis in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Impact of virtual appointments on referral-to-appointment times for type 2 diabetes patients in Northwest London.npj health systems · 2026Article
- Comparison of the factors influencing the patients' waiting time between two healthcare facilities with and without health management information system in Hyderabad: a cross-sectional study.BMC health services research · 2026Article
- [TOVIS pilot study-Aftercare effects of teleophthalmological diagnostics in senior living].Die Ophthalmologie · 2026Article
- Attitudes and Barriers to the Use of Telemedicine in the Ultra-Orthodox Society in Israel: A Cross-Sectional Study.International journal of environmental research and public health · 2026Article
- Artificial Intelligence in Orthopaedics: Clinical Performance, Limitations, and Translational Readiness-A Review.Journal of clinical medicine · 2026Review
- Telemedicine in rural settings: A cross-sectional study on its promoters & barriers.The Indian journal of medical research · 2025Article
- Health technology in Nigeria: What are Nigerian startups working on?Innovations in pharmacy · 2025Article
- Examining Differences in Utilization of the Ontario eConsult Service in Rural Versus Urban Settings: A Retrospective Cross-Sectional Analysis.Journal of primary care & community healthArticle
- Both sides of the screen: A dual-sided model of telemedicine adoption through extended UTAUT2.Digital healthArticle
- Enhancing Access in Academic Medical Centers Through Incentive-Based Evening and Weekend Clinics.The Journal of ambulatory care managementArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesPopulation ageing and the rise in chronic diseases place continual stress on healthcare systems. Scarce resources often impede equitable access to healthcare, particularly in rural areas, resulting in prolonged waiting times and heightened risks of morbidity and mortality. Telemedicine has emerged as a promising solution, offering remote and equitable care that could potentially bridge access gaps and enhance health outcomes. This systematic review aims to quantitatively examine the impact of telemedicine implementation on waiting times, defined as the time passed from the booking of a visit for an outpatient to the administration of the service.
designA systematic review was conducted using studies on telemedicine interventions that specifically addressed waiting times. Bias assessment was performed with three tools: ROBINS-I ("Risk of Bias In Non-Randomized Studies of Interventions"), AXIS ("Appraisal tool for Cross-Sectional Studies") and RoB-2 ("Risk of Bias-2"). A weighted mean approach was used to synthesise results, with medians synthesised using a median approach. DATA SOURCES: Articles in English were retrieved from the PubMed and Scopus databases. ELIGIBILITY CRITERIA: Studies were excluded if they did not specifically address waiting times related to telemedicine interventions. Only studies that considered waiting times defined as the time passed from the booking of a visit for an outpatient to the administration of the service and any telemedicine intervention were included. DATA EXTRACTION AND SYNTHESIS: A total of 53 records were included, encompassing 270 388 patients in both the experimental and control groups. The weighted mean reduction in waiting times was calculated, and bias was assessed. No record was evaluated to be at high risk of bias, with 69.8% of studies evaluated at low risk and 26.4% at moderate risk (3.8% were surveys). Results were synthesised using a weighted mean approach for studies reporting means, and a median approach for studies reporting medians.
resultsOverall, a weighted mean reduction of 25.4 days in waiting times was observed. Focusing on clinical specialties (n=114 042), the weighted mean reduction amounted to 34.7 days, while in surgical patients (n=156 346), telemedicine was associated with a weighted mean of 17.3 days saved.
conclusionsThe implementation of telemedicine solutions may significantly improve waiting times, potentially leading to more efficient and equitable healthcare systems. PROSPERO REGISTRATION NUMBER: CRD42023490822.
Indexed as
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What Socratic holds
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.