Evidence map›Paper›PMID 22589570›Full record

ReviewBulletin of the World Health Organization2012

Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here?

John D Piette, K C Lun, Lincoln A Moura, Hamish S F Fraser, Patricia N Mechael, John Powell, Shariq R Khoja

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Bulletin of the World Health Organization, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 9 pooled it
–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

83 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2014
    Pooled it
  9. Pooled it
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

23 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

7 authors.

John D PietteVeteran Affairs Ann Arbor Center for Clinical Management Research, Health Services Research and Development Center of Excellence, Ann Arbor, MI 48113-0170, USA. jpiette@umich.edu
K C Lun
Lincoln A Moura
Hamish S F Fraser
Patricia N Mechael
John Powell
Shariq R Khoja

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

E-health encompasses a diverse set of informatics tools that have been designed to improve public health and health care. Little information is available on the impacts of e-health programmes, particularly in low- and middle-income countries. We therefore conducted a scoping review of the published and non-published literature to identify data on the effects of e-health on health outcomes and costs. The emphasis was on the identification of unanswered questions for future research, particularly on topics relevant to low- and middle-income countries. Although e-health tools supporting clinical practice have growing penetration globally, there is more evidence of benefits for tools that support clinical decisions and laboratory information systems than for those that support picture archiving and communication systems. Community information systems for disease surveillance have been implemented successfully in several low- and middle-income countries. Although information on outcomes is generally lacking, a large project in Brazil has documented notable impacts on health-system efficiency. Meta-analyses and rigorous trials have documented the benefits of text messaging for improving outcomes such as patients' self-care. Automated telephone monitoring and self-care support calls have been shown to improve some outcomes of chronic disease management, such as glycaemia and blood pressure control, in low- and middle-income countries. Although large programmes for e-health implementation and research are being conducted in many low- and middle-income countries, more information on the impacts of e-health on outcomes and costs in these settings is still needed.

Indexed as

Developing CountriesEfficiencyEfficiency, OrganizationalElectronic Health RecordsGlobal HealthHealth Care CostsHospital Information SystemsHumansIncomeOutcome Assessment, Health CareSocioeconomic FactorsTelemedicine

Identifiers

PMID22589570
PMCPMC3341688

What OpenQuestion holds

Textmetadata
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.