Evidence map›Paper›PMID 26260246›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Assessing the impact of a primary care electronic medical record system in three Kenyan rural health centers.

William M Tierney, John E Sidle, Lameck O Diero, Allan Sudoi, Jepchirchir Kiplagat, Stephen Macharia, Changyu Shen, Ada Yeung, Martin C Were, James E Slaven and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Designing a reference architecture for health information systems.BMC medical informatics and decision making · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Digital health Systems in Kenyan Public Hospitals: a mixed-methods survey.BMC medical informatics and decision making · 2020
    Article
  11. Review
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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

11 authors at 5 institutions in 2 countries.

William M TierneyDepartments of Medicine and Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA Center for Biomedical Informatics, Regenstrief Institute, Inc. Indianapolis, IN, USA wtierney@regenstrief.org.
John E SidleDepartments of Medicine and Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Lameck O DieroDepartment of Medicine, Moi University School of Medicine, Eldoret, Kenya Department of Medicine, Moi Teaching and Referral Hospital, Eldoret, Kenya The Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Allan SudoiDepartment of Medicine, Moi University School of Medicine, Eldoret, Kenya Department of Medicine, Moi Teaching and Referral Hospital, Eldoret, Kenya The Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Jepchirchir KiplagatDepartment of Medicine, Moi University School of Medicine, Eldoret, Kenya Department of Medicine, Moi Teaching and Referral Hospital, Eldoret, Kenya The Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Stephen MachariaDepartment of Medicine, Moi University School of Medicine, Eldoret, Kenya Department of Medicine, Moi Teaching and Referral Hospital, Eldoret, Kenya The Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Changyu ShenDepartments of Medicine and Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Ada YeungCenter for Biomedical Informatics, Regenstrief Institute, Inc. Indianapolis, IN, USA.
Martin C WereDepartments of Medicine and Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA Center for Biomedical Informatics, Regenstrief Institute, Inc. Indianapolis, IN, USA Department of Medicine, Moi University School of Medicine, Eldoret, Kenya Department of Medicine, Moi Teaching and Referral Hospital, Eldoret, Kenya The Academic Model Providing Access to Healthcare, Eldoret, Kenya.
James E SlavenDepartments of Medicine and Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Kara Wools-KaloustianDepartments of Medicine and Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Indiana University School of MedicineMoi University · KEIndiana University – Purdue University Indianapolis · USRegenstrief Institute · USAMPATH · KE

Funding

PHITPO CDC HHS R18 HK000058
6 · The paper itself

Abstract

objectiveEfficient, effective health care requires rapid availability of patient information. We designed, implemented, and assessed the impact of a primary care electronic medical record (EMR) in three rural Kenyan health centers.

methodLocal clinicians identified data required for primary care and public health reporting. We designed paper encounter forms to capture these data in adult medicine, pediatric, and antenatal clinics. Encounter form data were hand-entered into a new primary care module in an existing EMR serving onsite clinics serving patients infected with the human immunodeficiency virus (HIV). Before subsequent visits, Summary Reports were printed containing selected patient data with reminders for needed HIV care. We assessed effects on patient flow and provider work with time-motion studies before implementation and two years later, and we surveyed providers' satisfaction with the EMR.

resultsBetween September 2008 and December 2011, 72 635 primary care patients were registered and 114 480 encounter forms were completed. During 2011, 32 193 unique patients visited primary care clinics, and encounter forms were completed for all visits. Of 1031 (3.2%) who were HIV-infected, 85% received HIV care. Patient clinic time increased from 37 to 81 min/visit after EMR implementation in one health center and 56 to 106 min/visit in the other. However, outpatient visits to both health centers increased by 85%. Three-quarters of increased time was spent waiting. Despite nearly doubling visits, there was no change in clinical officers' work patterns, but the nurses' and the clerks' patient care time decreased after EMR implementation. Providers were generally satisfied with the EMR but desired additional training.

conclusionsWe successfully implemented a primary care EMR in three rural Kenyan health centers. Patient waiting time was dramatically lengthened while the nurses' and the clerks' patient care time decreased. Long-term use of EMRs in such settings will require changes in culture and workflow.

Indexed as

Efficiency, OrganizationalMedical Records Systems, ComputerizedAttitude to ComputersElectronic Health RecordsHumansKenyaPrimary Health CareRural Health ServicesTime and Motion StudiesWorkflow

Identifiers

PMID26260246
PMCPMC7839922
OpenAlexW2183045046

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.