Evidence map›Paper›PMID 29432073›Full record

ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2018

m-Health Policy Readiness and Enabling Factors: Comparisons of Sub-Saharan Africa and Organization for Economic Cooperation and Development Countries.

Seohyun Lee, Charles E Begley, Robert Morgan, Wenyaw Chan, Sun-Young Kim

Open access · bronzeAbstract read
In one paragraph

Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Seohyun Lee1 Department of Management, Policy and Community Health, School of Public Health, University of Texas Health Science Center at Houston , Houston, Texas.
Charles E Begley1 Department of Management, Policy and Community Health, School of Public Health, University of Texas Health Science Center at Houston , Houston, Texas.
Robert Morgan1 Department of Management, Policy and Community Health, School of Public Health, University of Texas Health Science Center at Houston , Houston, Texas.
Wenyaw Chan3 Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston , Houston, Texas.
Sun-Young Kim2 Institute of Health and Environment, Center for Global Health Research, Graduate School of Public Health, Seoul National University , Seoul, South Korea .
The University of Texas Health Science Center at Houston · USSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs an innovative solution to poor access to care in low- and middle-income countries (LMICs), m-health has gained wide attention in the past decade.

introductionDespite enthusiasm from the global health community, LMICs have not demonstrated high uptake of m-health promoting policies or public investment. MATERIALS AND

methodsTo benchmark the current status, this study compared m-health policy readiness scores between sub-Saharan Africa and high-income Organization for Economic Cooperation and Development (OECD) countries using an independent two-sample t test. In addition, the enabling factors associated with m-health policy readiness were investigated using an ordinal logistic regression model. The study was based on the m-health policy readiness scores of 112 countries obtained from the World Health Organization Third Global Survey on e-Health.

resultsThe mean m-health policy readiness score for sub-Saharan Africa was statistically significantly lower than that for OECD countries (p = 0.02). The enabling factors significantly associated with m-health policy readiness included information and communication technology development index (odds ratio [OR] 1.57; 95% confidence interval [CI] 1.12-2.2), e-health education for health professionals (OR 4.43; 95% CI 1.60-12.27), and the location in sub-Saharan Africa (OR 3.47; 95% CI 1.06-11.34). DISCUSSION: The findings of our study suggest dual policy goals for m-health in sub-Saharan Africa. First, enhance technological and educational support for m-health. Second, pursue global collaboration for building m-health capacity led by sub-Saharan African countries with hands-on experience and knowledge.

conclusionGlobally, countries should take a systematic and collaborative approach in pursuing m-health policy with the focus on technological and educational support.

Indexed as

Health PolicyOrganisation for Economic Co-Operation and DevelopmentTelemedicineAfrica South of the SaharaBenchmarkingDeveloping CountriesInternational CooperationLogistic ModelsSurveys and Questionnairesm-healthpolicysub-Saharan AfricatelemedicineWHO Global Survey on e-health

Identifiers

PMID29432073
PMCPMC6247984
OpenAlexW2787092228

What OpenQuestion 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 OpenQuestion graph.