RESUMO
BACKGROUND: The Ministry of Health in Côte d'Ivoire and the International Training and Education Center for Health at the University of Washington, funded by the United States President's Emergency Plan for AIDS Relief, have been collaborating to develop and implement the Open-Source Enterprise-Level Laboratory Information System (OpenELIS). The system is designed to improve HIV-related laboratory data management and strengthen quality management and capacity at clinical laboratories across the nation. OBJECTIVE: This evaluation aimed to quantify the effects of implementing OpenELIS on data quality for laboratory tests related to HIV care and treatment. METHODS: This evaluation used a quasi-experimental design to perform an interrupted time-series analysis to estimate the changes in the level and slope of 3 data quality indicators (timeliness, completeness, and validity) after OpenELIS implementation. We collected paper and electronic records on clusters of differentiation 4 (CD4) testing for 48 weeks before OpenELIS adoption until 72 weeks after. Data collection took place at 21 laboratories in 13 health regions that started using OpenELIS between 2014 and 2020. We analyzed the data at the laboratory level. We estimated odds ratios (ORs) by comparing the observed outcomes with modeled counterfactual ones when the laboratories did not adopt OpenELIS. RESULTS: There was an immediate 5-fold increase in timeliness (OR 5.27, 95% CI 4.33-6.41; P<.001) and an immediate 3.6-fold increase in completeness (OR 3.59, 95% CI 2.40-5.37; P<.001). These immediate improvements were observed starting after OpenELIS installation and then maintained until 72 weeks after OpenELIS adoption. The weekly improvement in the postimplementation trend of completeness was significant (OR 1.03, 95% CI 1.02-1.05; P<.001). The improvement in validity was not statistically significant (OR 1.34, 95% CI 0.69-2.60; P=.38), but validity did not fall below pre-OpenELIS levels. CONCLUSIONS: These results demonstrate the value of electronic laboratory information systems in improving laboratory data quality and supporting evidence-based decision-making in health care. These findings highlight the importance of OpenELIS in Côte d'Ivoire and the potential for adoption in other low- and middle-income countries with similar health systems.
Assuntos
Sistemas de Informação em Laboratório Clínico , Infecções por HIV , Humanos , Laboratórios Clínicos , Laboratórios , Côte d'Ivoire , EletrônicaRESUMO
INTRODUCTION: Do health facilities (HF) have basic resources needed to manage malaria? The purpose of our study was to analyze the operational capacity (OC) of first-line health facilities in Ivory Coast in the management of malaria. METHODS: SARA methodology was used to conduct a descriptive cross-sectional study from 10 to 30 July 2016. The operational capacity in the management showed an average availability of 9 identification tracers divided in 3 areas: (i) staff and guidelines; (ii) capacity of diagnosis; (iii) drugs and products. This operational capacity was assessed through the calculation of an index and then compared with the health facilities according to the management authority and the geographical area using Chi-square test with p-values α fixed at 0.05. RESULTS: Out of 818 HFs, 651(79.6%) were in the public sector and 487(59.5%) were located in the rural area. The operational capacity of first line health facilities was 74.5%. This OC was higher in the public sector (81.3%) than in the private sector (48.8%) (p < 10-3) as well as in the rural area (82.7%) compared to the urban area (62.9%) (p < 10-3). CONCLUSION: In 2016, first line health facilities in Ivory Coast had basic resources needed to manage malaria. It is necessary to focus on the need to strengthen health facility services in addition to prevention.
