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Bulletin of the World Health Organization
Article . 2012 . Peer-reviewed
Data sources: Crossref
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Long-running telemedicine networks delivering humanitarian services: experience, performance and scientific output

Authors: Wootton, R.; Geissbuhler, A.; Jethwani, K.; Kovarik, C.; Person, D. A.; Vladzymyrskyy, A.; Zanaboni, P.; +1 Authors

Long-running telemedicine networks delivering humanitarian services: experience, performance and scientific output

Abstract

To summarize the experience, performance and scientific output of long-running telemedicine networks delivering humanitarian services.Nine long-running networks--those operating for five years or more--were identified and seven provided detailed information about their activities, including performance and scientific output. Information was extracted from peer-reviewed papers describing the networks' study design, effectiveness, quality, economics, provision of access to care and sustainability. The strength of the evidence was scored as none, poor, average or good.The seven networks had been operating for a median of 11 years (range: 5-15). All networks provided clinical tele-consultations for humanitarian purposes using store-and-forward methods and five were also involved in some form of education. The smallest network had 15 experts and the largest had more than 500. The clinical caseload was 50 to 500 cases a year. A total of 59 papers had been published by the networks, and 44 were listed in Medline. Based on study design, the strength of the evidence was generally poor by conventional standards (e.g. 29 papers described non-controlled clinical series). Over half of the papers provided evidence of sustainability and improved access to care. Uncertain funding was a common risk factor.Improved collaboration between networks could help attenuate the lack of resources reported by some networks and improve sustainability. Although the evidence base is weak, the networks appear to offer sustainable and clinically useful services. These findings may interest decision-makers in developing countries considering starting, supporting or joining similar telemedicine networks.

Countries
Australia, Switzerland, Belgium, Belgium
Keywords

Questionnaires, Health Services Research/statistics & numerical data, Performance, Efficiency, Efficiency, Organizational, Global Health, Surveys and Questionnaires, Humanitarian action, Cooperative Behavior, Evaluation, Telemedicine/economics/organization & administration/statistics & numerical data, Funding, Scientific literature, Case load, Global, 001, Accessibility, Health services, Telemedicine, Sustainability, Quality of Health Care/statistics & numerical data, World Health, Health Services Research, Public aspects of medicine, RA1-1270, Organization, Educational tools, Humans, Distance learning, Quality of Health Care, Consultation, Health care delivery, Collaboration, Altruism, Organizational Culture, Risk factors, Review of the literature, Health Care Surveys, Models, Organizational, Networks, ddc: ddc:616.0757

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    55
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 10%
Top 10%
Top 10%
Green
gold