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

dc.contributor.authorTierney, William M.
dc.contributor.authorSidle, John E.
dc.contributor.authorDiero, Lameck O.
dc.contributor.authorSudoi, Allan
dc.contributor.authorKiplagat, Jepchirchir
dc.contributor.authorMacharia, Stephen
dc.contributor.authorShen, Changyu
dc.contributor.authorYeung, Ada
dc.contributor.authorWere, Martin C.
dc.contributor.authorSlaven, James E.
dc.contributor.authorWools-Kaloustian, Kara
dc.contributor.departmentMedicine, School of Medicineen_US
dc.date.accessioned2022-05-26T18:15:47Z
dc.date.available2022-05-26T18:15:47Z
dc.date.issued2016-05
dc.description.abstractObjective: Efficient, 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. Method: Local 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. Results: Between 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. Conclusions: We 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.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationTierney WM, Sidle JE, Diero LO, et al. Assessing the impact of a primary care electronic medical record system in three Kenyan rural health centers. J Am Med Inform Assoc. 2016;23(3):544-552. doi:10.1093/jamia/ocv074en_US
dc.identifier.urihttps://hdl.handle.net/1805/29156
dc.language.isoen_USen_US
dc.publisherOxford University Pressen_US
dc.relation.isversionof10.1093/jamia/ocv074en_US
dc.relation.journalJournal of the American Medical Informatics Associationen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectComputerized medical records systemsen_US
dc.subjectRural health servicesen_US
dc.subjectElectronic health recordsen_US
dc.subjectPrimary health careen_US
dc.titleAssessing the impact of a primary care electronic medical record system in three Kenyan rural health centersen_US
dc.typeArticleen_US
ul.alternative.fulltexthttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839922/en_US
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