Evidence map›Paper›PMID 31429414›Full record

SynthesisJMIR mHealth and uHealth2019

Using Telemedicine to Diagnose Surgical Site Infections in Low- and Middle-Income Countries: Systematic Review.

Charlotte E J Sandberg, Stephen R Knight, Ahmad Uzair Qureshi, Samir Pathak

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 4% 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.

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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  10. Observational
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  16. The Recent Progress and Applications of Digital Technologies in Healthcare: A Review.International journal of telemedicine and applications · 2020
    Review
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

4 authors at 3 institutions in 2 countries.

Charlotte E J SandbergFaculty of Health Sciences, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-2029-2699
Stephen R KnightCentre for Informatics, Usher Institute, Edinburgh, United Kingdom.ORCID 0000-0003-0448-3719
Ahmad Uzair QureshiDepartment of Surgery, Services Institute of Medical Sciences, Lahore, Pakistan.ORCID 0000-0001-5960-9142
Samir PathakBristol Centre for Surgical Research, Population Health Sciences, Bristol Medical School, Bristol, United Kingdom.ORCID 0000-0002-0535-1470
Services Institute of Medical Sciences · PKUniversity Hospitals Bristol NHS Foundation Trust · GBUniversity of Bristol · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundA high burden of preventable morbidity and mortality due to surgical site infections (SSIs) occurs in low- and middle-income countries (LMICs), and most of these SSIs occur following discharge. There is a high loss to follow-up due to a wide geographical spread of patients, and cost of travel can result in delayed and missed diagnoses.

objectiveThis review analyzes the literature surrounding the use of telemedicine and assesses the feasibility of using mobile phone technology to both diagnose SSIs remotely in LMICs and to overcome social barriers.

methodsA literature search was performed using Medline, Embase, CINAHL, PubMed, Web of Science, the Cochrane Central Register of Controlled Trials and Google Scholar. Included were English language papers reporting the use of telemedicine for detecting SSIs in comparison to the current practice of direct clinical diagnosis. Papers were excluded if infections were not due to surgical wounds, or if SSIs were not validated with in-person diagnosis. The primary outcome of this review was to review the feasibility of telemedicine for remote SSI detection.

resultsA total of 404 articles were screened and three studies were identified that reported on 2082 patients across three countries. All studies assessed the accuracy of remote diagnosis of SSIs using predetermined telephone questionnaires. In total, 44 SSIs were accurately detected using telemedicine and an additional 14 were picked up on clinical follow-up.

conclusionsThe use of telemedicine has shown to be a feasible method in remote diagnosis of SSIs. Telemedicine is a useful adjunct for clinical practice in LMICs to decrease loss to postsurgical follow-up.

Indexed as

Developing CountriesHumansSurgical Wound InfectionTelemedicinedeveloping countryfollow-uplow- and middle-income countriespostoperativesurgical site infectiontelemedicinewound infection

Identifiers

PMID31429414
PMCPMC6718082
OpenAlexW2950730814

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.