Evidence map›Paper›PMID 20442140›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Evaluating a scalable model for implementing electronic health records in resource-limited settings.

Martin C Were, Nneka Emenyonu, Marion Achieng, Changyu Shen, John Ssali, John P M Masaba, William M Tierney

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Martin C WereIndiana University School of Medicine, Indianapolis, Indiana, USA. mwere@regenstrief.org
Nneka Emenyonu
Marion Achieng
Changyu Shen
John Ssali
John P M Masaba
William M Tierney

Funding

REGENSTRIEF MEDICAL INFORMATICS RESEARCH FELLOWSHIPST15LM007117 · NLM · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI FINNELL, JOHN T · 1997 to 2011
$5.0M
NLM NIH HHS LM07117-11NLM NIH HHS T15 LM007117PHS HHS U01 A106991
6 · The paper itself

Abstract

Current models for implementing electronic health records (EHRs) in resource-limited settings may not be scalable because they fail to address human-resource and cost constraints. This paper describes an implementation model which relies on shared responsibility between local sites and an external three-pronged support infrastructure consisting of: (1) a national technical expertise center, (2) an implementer's community, and (3) a developer's community. This model was used to implement an open-source EHR in three Ugandan HIV-clinics. Pre-post time-motion study at one site revealed that Primary Care Providers spent a third less time in direct and indirect care of patients (p<0.001) and 40% more time on personal activities (p=0.09) after EHRs implementation. Time spent by previously enrolled patients with non-clinician staff fell by half (p=0.004) and with pharmacy by 63% (p<0.001). Surveyed providers were highly satisfied with the EHRs and its support infrastructure. This model offers a viable approach for broadly implementing EHRs in resource-limited settings.

Indexed as

Developing CountriesOutcome Assessment, Health CareAmbulatory Care Information SystemsCommunity ParticipationConsumer BehaviorCost ControlElectronic Health RecordsHealth Plan ImplementationHealth Planning Technical AssistanceHIV InfectionsHumansModels, OrganizationalTime and Motion StudiesUganda

Identifiers

PMID20442140
PMCPMC2995711

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.