Evidence mapPaperPMID 39884707Full record

SynthesisBMJ open2025

Reducing outpatient wait times through telemedicine: a systematic review and quantitative analysis.

Angelo Capodici, Francesca Noci, Sabina Nuti, Michele Emdin, Stefano Dalmiani, Claudio Passino, Tina Hernandez-Boussard, Alberto Giannoni

Abstract readSystematic Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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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

8 authors.

Angelo CapodiciDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0002-7505-0702
Francesca NociInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Sabina NutiInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Michele EmdinInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Stefano DalmianiCardiology and Cardiovascular Medicine Department, Fondazione Monasterio, Pisa, Italy.
Claudio PassinoInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Tina Hernandez-BoussardDepartment of Medicine, Stanford University, Stanford, California, USA.
Alberto GiannoniInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy alberto.giannoni@santannapisa.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Ambulatory CareHealth Services AccessibilityOutpatientsTelemedicineWaiting ListsHumansTime FactorseHealthHealth Services AccessibilitySystematic ReviewTelemedicineWaiting lists

Identifiers

PMID39884707
PMCPMC11784372

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.