Evidence map›Paper›PMID 32813281›Full record

SynthesisThe Cochrane database of systematic reviews2020

Mobile technologies to support healthcare provider to healthcare provider communication and management of care.

Daniela C Gonçalves-Bradley, Ana Rita J Maria, Ignacio Ricci-Cabello, Gemma Villanueva, Marita S Fønhus, Claire Glenton, Simon Lewin, Nicholas Henschke, Brian S Buckley, Garrett L Mehl and 2 more

2 registry-linked trialsOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 82 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 12 pooled it
19.9field-weighted citation impact, top 1% of its field
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.

NCT05593835 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Protocol for a Cluster Randomised Trial of a Goal-Oriented Care Approach for Multimorbidity Patients Supported by a Digital Platform

TypeinterventionalSponsorUniversidade Nova de LisboaRan2025 to 2027Enrolled1,380ConditionsChronic DiseaseArmsMETHIS Platform, Goal-Oriented Care Training Program
NCT07299201 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Evaluation of the Efficiency of Proactive Telemedicine vs Face-to-Face Visits for Universal Access and Health Prevention in a Rural Primary Care Team: Randomized Non-Inferiority Clinical Trial

TypeinterventionalSponsorFundacio d'Investigacio en Atencio Primaria Jordi Gol i GurinaRan2024 to 2026Enrolled120ConditionsPrimary Health Care, Telemedicine, Face to Face Consultation, Health Care AccessArmsTelemedicine Brief Behavioural Lifestyle Intervention, Face to face Brief Behavioural Lifestyle Intervention
3 · Its place in the literature

Who cites it

82 citing papers in PubMed, 12 syntheses or guidelines pooled it, 149 citations in OpenAlex.

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22 more citing papers are in PubMed but not listed here.

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

12 authors at 7 institutions in 7 countries.

Daniela C Gonçalves-BradleyNuffield Department of Population Health, University of Oxford, Oxford, UK.
Ana Rita J MariaNova Medical School, Faculdade de Ciências Médicas, Lisbon, Portugal.
Ignacio Ricci-CabelloPrimary Care Research Unit, Instituto de Investigación Sanitaria Illes Balears, Palma de Mallorca, Spain.
Gemma VillanuevaCochrane Response, Cochrane, London, UK.
Marita S FønhusNorwegian Institute of Public Health, Oslo, Norway.
Claire GlentonNorwegian Institute of Public Health, Oslo, Norway.
Simon LewinNorwegian Institute of Public Health, Oslo, Norway.
Nicholas HenschkeCochrane Response, Cochrane, London, UK.
Brian S BuckleyDepartment of Surgery, University of the Philippines, Manila, Philippines.
Garrett L MehlDepartment of Sexual and Reproductive Health, World Health Organization, Geneva, Switzerland.
Tigest TamratDepartment of Sexual and Reproductive Health, World Health Organization, Geneva, Switzerland.
Sasha ShepperdNuffield Department of Population Health, University of Oxford, Oxford, UK.
Norwegian Institute of Public Health · NOCochrane · GBUniversity of Oxford · GBWorld Health Organization · CHHealth Research Institute of the Balearic Islands · ESUniversidade Nova de Lisboa · PTUniversity of the Philippines Manila · PH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe widespread use of mobile technologies can potentially expand the use of telemedicine approaches to facilitate communication between healthcare providers, this might increase access to specialist advice and improve patient health outcomes.

objectivesTo assess the effects of mobile technologies versus usual care for supporting communication and consultations between healthcare providers on healthcare providers' performance, acceptability and satisfaction, healthcare use, patient health outcomes, acceptability and satisfaction, costs, and technical difficulties. SEARCH

methodsWe searched CENTRAL, MEDLINE, Embase and three other databases from 1 January 2000 to 22 July 2019. We searched clinical trials registries, checked references of relevant systematic reviews and included studies, and contacted topic experts. SELECTION CRITERIA: Randomised trials comparing mobile technologies to support healthcare provider to healthcare provider communication and consultations compared with usual care. DATA COLLECTION AND ANALYSIS: We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. MAIN

resultsWe included 19 trials (5766 participants when reported), most were conducted in high-income countries. The most frequently used mobile technology was a mobile phone, often accompanied by training if it was used to transfer digital images. Trials recruited participants with different conditions, and interventions varied in delivery, components, and frequency of contact. We judged most trials to have high risk of performance bias, and approximately half had a high risk of detection, attrition, and reporting biases. Two studies reported data on technical problems, reporting few difficulties. Mobile technologies used by primary care providers to consult with hospital specialists We assessed the certainty of evidence for this group of trials as moderate to low. Mobile technologies: - probably make little or no difference to primary care providers following guidelines for people with chronic kidney disease (CKD; 1 trial, 47 general practices, 3004 participants); - probably reduce the time between presentation and management of individuals with skin conditions, people with symptoms requiring an ultrasound, or being referred for an appointment with a specialist after attending primary care (4 trials, 656 participants); - may reduce referrals and clinic visits among people with some skin conditions, and increase the likelihood of receiving retinopathy screening among people with diabetes, or an ultrasound in those referred with symptoms (9 trials, 4810 participants when reported); - probably make little or no difference to patient-reported quality of life and health-related quality of life (2 trials, 622 participants) or to clinician-assessed clinical recovery (2 trials, 769 participants) among individuals with skin conditions; - may make little or no difference to healthcare provider (2 trials, 378 participants) or participant acceptability and satisfaction (4 trials, 972 participants) when primary care providers consult with dermatologists; - may make little or no difference for total or expected costs per participant for adults with some skin conditions or CKD (6 trials, 5423 participants). Mobile technologies used by emergency physicians to consult with hospital specialists about people attending the emergency department We assessed the certainty of evidence for this group of trials as moderate. Mobile technologies: - probably slightly reduce the consultation time between emergency physicians and hospital specialists (median difference -12 minutes, 95% CI -19 to -7; 1 trial, 345 participants); - probably reduce participants' length of stay in the emergency department by a few minutes (median difference -30 minutes, 95% CI -37 to -25; 1 trial, 345 participants). We did not identify trials that reported on providers' adherence, participants' health status and well-being, healthcare provider and participant acceptability and satisfaction, or costs. Mobile technologies used by community health workers or home-care workers to consult with clinic staff We assessed the certainty of evidence for this group of trials as moderate to low. Mobile technologies: - probably make little or no difference in the number of outpatient clinic and community nurse consultations for participants with diabetes or older individuals treated with home enteral nutrition (2 trials, 370 participants) or hospitalisation of older individuals treated with home enteral nutrition (1 trial, 188 participants); - may lead to little or no difference in mortality among people living with HIV (RR 0.82, 95% CI 0.55 to 1.22) or diabetes (RR 0.94, 95% CI 0.28 to 3.12) (2 trials, 1152 participants); - may make little or no difference to participants' disease activity or health-related quality of life in participants with rheumatoid arthritis (1 trial, 85 participants); - probably make little or no difference for participant acceptability and satisfaction for participants with diabetes and participants with rheumatoid arthritis (2 trials, 178 participants). We did not identify any trials that reported on providers' adherence, time between presentation and management, healthcare provider acceptability and satisfaction, or costs. AUTHORS'

conclusionsOur confidence in the effect estimates is limited. Interventions including a mobile technology component to support healthcare provider to healthcare provider communication and management of care may reduce the time between presentation and management of the health condition when primary care providers or emergency physicians use them to consult with specialists, and may increase the likelihood of receiving a clinical examination among participants with diabetes and those who required an ultrasound. They may decrease the number of people attending primary care who are referred to secondary or tertiary care in some conditions, such as some skin conditions and CKD. There was little evidence of effects on participants' health status and well-being, satisfaction, or costs.

Indexed as

Health PersonnelTime-to-TreatmentAdultBiasCell PhoneCommunity Health WorkersComputer SecurityDermatologistsDiabetic RetinopathyEmergency Service, HospitalGuideline AdherenceHealth Care CostsHealth StatusHumansPatient SatisfactionPersonal Satisfaction

Identifiers

PMID32813281
PMCPMC7437392
OpenAlexW3061097608

What Socratic holds

Textmetadata
LicenceCC BY
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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.