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Benefits and challenges of EMR implementations in low resource settings: a state-of-the-art review

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

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1 policy source
twitter
10 tweeters
googleplus
2 Google+ users

Citations

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44 Dimensions

Readers on

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329 Mendeley
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Title
Benefits and challenges of EMR implementations in low resource settings: a state-of-the-art review
Published in
BMC Medical Informatics and Decision Making, September 2016
DOI 10.1186/s12911-016-0354-8
Pubmed ID
Authors

Badeia Jawhari, Dave Ludwick, Louanne Keenan, David Zakus, Robert Hayward

Abstract

The intent of this review is to discover the types of inquiry and range of objectives and outcomes addressed in studies of the impacts of Electronic Medical Record (EMR) implementations in limited resource settings in sub-Saharan Africa. A state-of-the-art review characterized relevant publications from bibliographic databases and grey literature repositories through systematic searching, concept-mapping, relevance and quality filter optimization, methods and outcomes categorization and key article analysis. From an initial population of 749 domain articles published before February 2015, 32 passed context and methods filters to merit full-text analysis. Relevant literature was classified by type (e.g., secondary, primary), design (e.g., case series, intervention), focus (e.g., processes, outcomes) and context (e.g., location, organization). A conceptual framework of EMR implementation determinants (systems, people, processes, products) was developed to represent current knowledge about the effects of EMRs in resource-constrained settings and to facilitate comparisons with studies in other contexts. This review provides an overall impression of the types and content of health informatics articles about EMR implementations in sub-Saharan Africa. Little is known about the unique effects of EMR efforts in slum settings. The available reports emphasize the complexity and impact of social considerations, outweighing product and system limitations. Summative guides and implementation toolkits were not found but could help EMR implementers. The future of EMR implementation in sub-Saharan Africa is promising. This review reveals various examples and gaps in understanding how EMR implementations unfold in resource-constrained settings; and opportunities for new inquiry about how to improve deployments in those contexts.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Sweden 1 <1%
Ukraine 1 <1%
Unknown 326 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 77 23%
Student > Bachelor 40 12%
Researcher 31 9%
Student > Ph. D. Student 25 8%
Student > Doctoral Student 19 6%
Other 54 16%
Unknown 83 25%
Readers by discipline Count As %
Medicine and Dentistry 57 17%
Computer Science 46 14%
Nursing and Health Professions 35 11%
Social Sciences 24 7%
Business, Management and Accounting 16 5%
Other 52 16%
Unknown 99 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2022.
All research outputs
#2,606,793
of 21,735,696 outputs
Outputs from BMC Medical Informatics and Decision Making
#198
of 1,906 outputs
Outputs of similar age
#44,053
of 287,809 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 21,735,696 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,906 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them