ArticleInternational journal of medical informatics2010
Creation and evaluation of EMR-based paper clinical summaries to support HIV-care in Uganda, Africa.
Article in International journal of medical informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Chronic Care Model Decision Support and Clinical Information Systems interventions for people living with HIV: a systematic review.Journal of general internal medicine · 2013Pooled it
- Effect of a clinical decision support system on early action on immunological treatment failure in patients with HIV in Kenya: a cluster randomised controlled trial.The lancet. HIV · 2016Trial
- Insights to optimizing health extension workers' time use and efficiency in Ethiopia: a qualitative study.Global health action · 2025Article
- Verifiable Summarization of Electronic Health Records Using Large Language Models to Support Chart Review.medRxiv : the preprint server for health sciences · 2025Article
- Demand sensing and digital tracking for maternal child health (MCH) in Uganda: a pilot study for 'E+TRA health'.BMC medical informatics and decision making · 2022Article
- eRegTime-Time Spent on Health Information Management in Primary Health Care Clinics Using a Digital Health Registry Versus Paper-Based Documentation: Cluster-Randomized Controlled Trial.JMIR formative research · 2022Article
- Healthcare providers' readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase.BMC health services research · 2022Article
- Identification of the necessary data elements to report AIDS: a systematic review.Electronic physician · 2017Review
- Barriers and opportunities to implementation of sustainable e-Health programmes in Uganda: A literature review.African journal of primary health care & family medicine · 2017Review
- D-Dimer Levels and Traditional Risk Factors Are Associated With Incident Hypertension Among HIV-Infected Individuals Initiating Antiretroviral Therapy in Uganda.Journal of acquired immune deficiency syndromes (1999) · 2016Article
- A Review of Visual Representations of Physiologic Data.JMIR medical informatics · 2016Review
- Assessing the impact of a primary care electronic medical record system in three Kenyan rural health centers.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Predictors of dropout from care among HIV-infected patients initiating antiretroviral therapy at a public sector HIV treatment clinic in sub-Saharan Africa.BMC infectious diseases · 2016Article
- Automated methods for the summarization of electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- Implementation and Operational Research: A Time-Motion Analysis of HIV Transmission Prevention Counseling and Antiretroviral Adherence Messages in Western Kenya.Journal of acquired immune deficiency syndromes (1999) · 2015Article
- HARVEST, a longitudinal patient record summarizer.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Implementation of a Cloud-Based Electronic Medical Record to Reduce Gaps in the HIV Treatment Continuum in Rural Kenya.PloS one · 2015Article
- How do health extension workers in Ethiopia allocate their time?Human resources for health · 2014Article
- Meeting community health worker needs for maternal health care service delivery using appropriate mobile technologies in Ethiopia.PloS one · 2013Article
- Is transcription of data on antiretroviral treatment from electronic to paper-based registers reliable in Malawi?Public health action · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeGetting the right information to providers can improve quality of care. We set out to provide patient-specific Electronic Medical Record (EMR)-based clinical summaries for providers taking care of HIV-positive adult patients in the resource-limited setting of Mbarara, Uganda.
methodsWe evaluated the impact of implementing these clinical summaries using time-motion techniques and provider surveys.
resultsAfter implementation of EMR-based clinical summaries, providers spent more time in direct care of patients (2.9 min vs. 2.3 min, p<0.001), and the length of patient visits was reduced by 11.5 min. Survey respondents indicated that clinical summaries improved care, reduced mistakes, and were generally accurate. Current antiretroviral medication, patient identifying information, adherence information, current medication, and current medical problems were among the highest-rated elements of the summary.
conclusionsBy taking advantage of data stored in EMRs, efficiency and quality of care can be improved through clinical summaries, even in settings with limited resources.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.