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1.
Afr J Lab Med ; 8(1): 841, 2019.
Article in English | MEDLINE | ID: mdl-31745456

ABSTRACT

BACKGROUND: Reducing laboratory errors presents a significant opportunity for both cost reduction and healthcare quality improvement. This is particularly true in low-resource settings where laboratory errors are further exacerbated by poor infrastructure and shortages in a trained workforce. Informatics interventions can be used to address some of the sources of laboratory errors. OBJECTIVES: This article describes the development process for a clinical laboratory information system (LIS) that leverages informatics interventions to address problems in the laboratory testing process at a hospital in a low-resource setting. METHODS: We designed interventions using informatics methods for previously identified problems in the laboratory testing process at a clinical laboratory in a low-resource setting. First, we reviewed a pre-existing LIS functionality assessment toolkit and consulted with laboratory personnel. This provided requirements that were developed into a LIS with interventions designed to address the problems that had been identified. We piloted the LIS at the Kamuzu Central Hospital in Lilongwe, Malawi. RESULTS: We implemented a series of informatics interventions in the form of a LIS to address sources of laboratory errors and support the entire laboratory testing process. Custom hardware was built to support the ordering of laboratory tests and review of laboratory test results. CONCLUSION: Our experience highlights the potential of using informatics interventions to address systemic problems in the laboratory testing process in low-resource settings. Implementing these interventions may require innovation of new hardware to address various contextual issues. We strongly encourage thorough testing of such innovations to reduce the risk of failure when implemented.

2.
Afr. j. lab. med. (Online) ; 8(1): 1-7, 2019.
Article in English | AIM (Africa) | ID: biblio-1257324

ABSTRACT

Background: Reducing laboratory errors presents a significant opportunity for both cost reduction and healthcare quality improvement. This is particularly true in low-resource settings where laboratory errors are further exacerbated by poor infrastructure and shortages in a trained workforce. Informatics interventions can be used to address some of the sources of laboratory errors.Objectives: This article describes the development process for a clinical laboratory information system (LIS) that leverages informatics interventions to address problems in the laboratory testing process at a hospital in a low-resource setting.Methods: We designed interventions using informatics methods for previously identified problems in the laboratory testing process at a clinical laboratory in a low-resource setting. First, we reviewed a pre-existing LIS functionality assessment toolkit and consulted with laboratory personnel. This provided requirements that were developed into a LIS with interventions designed to address the problems that had been identified. We piloted the LIS at the Kamuzu Central Hospital in Lilongwe, Malawi.Results: We implemented a series of informatics interventions in the form of a LIS to address sources of laboratory errors and support the entire laboratory testing process. Custom hardware was built to support the ordering of laboratory tests and review of laboratory test results.Conclusion: Our experience highlights the potential of using informatics interventions to address systemic problems in the laboratory testing process in low-resource settings. Implementing these interventions may require innovation of new hardware to address various contextual issues. We strongly encourage thorough testing of such innovations to reduce the risk of failure when implemented


Subject(s)
Clinical Laboratory Information Systems , Developing Countries , Laboratory Proficiency Testing , Malawi , Medical Informatics
3.
J Acquir Immune Defic Syndr ; 74(4): 367-374, 2017 04 01.
Article in English | MEDLINE | ID: mdl-27875363

ABSTRACT

OBJECTIVE: To estimate preterm birth risk among infants of HIV-infected women in Lilongwe, Malawi, according to maternal antiretroviral therapy (ART) status and initiation time under Option B+. DESIGN: A retrospective cohort study of HIV-infected women delivering at ≥27 weeks of gestation, April 2012 to November 2015. Among women on ART at delivery, we restricted our analysis to those who initiated ART before 27 weeks of gestation. METHODS: We defined preterm birth as a singleton live birth at ≥27 and <37 weeks of gestation, with births at <32 weeks classified as extremely to very preterm. We used log-binomial models to estimate risk ratios and 95% confidence intervals for the association between ART and preterm birth. RESULTS: Among 3074 women included in our analyses, 731 preterm deliveries were observed (24%). Overall preterm birth risk was similar in women who had initiated ART at any point before 27 weeks and those who never initiated ART (risk ratio = 1.14; 95% confidence interval: 0.84 to 1.55), but risk of extremely to very preterm birth was 2.33 (1.39 to 3.92) times as great in those who never initiated ART compared with those who did at any point before 27 weeks. Among women on ART before delivery, ART initiation before conception was associated with the lowest preterm birth risk. CONCLUSIONS: ART during pregnancy was not associated with preterm birth, and it may in fact be protective against severe adverse outcomes accompanying extremely to very preterm birth. As preconception ART initiation appears especially protective, long-term retention on ART should be a priority to minimize preterm birth in subsequent pregnancies.


Subject(s)
Anti-HIV Agents/therapeutic use , HIV Infections/drug therapy , HIV Infections/prevention & control , Infant, Extremely Premature , Infectious Disease Transmission, Vertical/prevention & control , Pregnancy Complications, Infectious/drug therapy , Pregnancy Complications, Infectious/prevention & control , Premature Birth/prevention & control , Adult , Anti-HIV Agents/administration & dosage , Anti-HIV Agents/adverse effects , Female , HIV Infections/transmission , Humans , Infant, Newborn , Malawi , Pregnancy , Retrospective Studies , Treatment Outcome
4.
BMC Res Notes ; 9: 146, 2016 Mar 05.
Article in English | MEDLINE | ID: mdl-26945749

ABSTRACT

BACKGROUND: Implementation of user-friendly, real-time, electronic medical records for patient management may lead to improved adherence to clinical guidelines and improved quality of patient care. We detail the systematic, iterative process that implementation partners, Lighthouse clinic and Baobab Health Trust, employed to develop and implement a point-of-care electronic medical records system in an integrated, public clinic in Malawi that serves HIV-infected and tuberculosis (TB) patients. METHODS: Baobab Health Trust, the system developers, conducted a series of technical and clinical meetings with Lighthouse and Ministry of Health to determine specifications. Multiple pre-testing sessions assessed patient flow, question clarity, information sequencing, and verified compliance to national guidelines. Final components of the TB/HIV electronic medical records system include: patient demographics; anthropometric measurements; laboratory samples and results; HIV testing; WHO clinical staging; TB diagnosis; family planning; clinical review; and drug dispensing. RESULTS: Our experience suggests that an electronic medical records system can improve patient management, enhance integration of TB/HIV services, and improve provider decision-making. However, despite sufficient funding and motivation, several challenges delayed system launch including: expansion of system components to include of HIV testing and counseling services; changes in the national antiretroviral treatment guidelines that required system revision; and low confidence to use the system among new healthcare workers. To ensure a more robust and agile system that met all stakeholder and user needs, our electronic medical records launch was delayed more than a year. Open communication with stakeholders, careful consideration of ongoing provider input, and a well-functioning, backup, paper-based TB registry helped ensure successful implementation and sustainability of the system. Additional, on-site, technical support provided reassurance and swift problem-solving during the extended launch period. CONCLUSION: Even when system users are closely involved in the design and development of an electronic medical record system, it is critical to allow sufficient time for software development, solicitation of detailed feedback from both users and stakeholders, and iterative system revisions to successfully transition from paper to point-of-care electronic medical records. For those in low-resource settings, electronic medical records for integrated care is a possible and positive innovation.


Subject(s)
Delivery of Health Care, Integrated/organization & administration , Electronic Health Records/organization & administration , HIV Infections/diagnosis , Point-of-Care Systems/organization & administration , Tuberculosis, Pulmonary/diagnosis , Adolescent , Adult , Anthropometry , Child , Child, Preschool , Coinfection , Demography , Directive Counseling , HIV Infections/epidemiology , HIV Infections/pathology , HIV Infections/virology , Humans , Infant , Infant, Newborn , Malawi/epidemiology , Mass Screening , Problem Solving , Tuberculosis, Pulmonary/epidemiology , Tuberculosis, Pulmonary/microbiology , Tuberculosis, Pulmonary/pathology
6.
AMIA Annu Symp Proc ; : 934, 2008 Nov 06.
Article in English | MEDLINE | ID: mdl-18999092

ABSTRACT

Electronic data systems are being implemented in resource-poor HIV clinics to track and improve patient care. The great majority of these systems rely on paper forms and retrospective data entry, while a few have chosen to deploy point-of-care systems to collect data in real time. This study describes a comparison of data quality between these two approaches.


Subject(s)
HIV Infections/diagnosis , HIV Infections/therapy , Medical History Taking/statistics & numerical data , Medical Records Systems, Computerized/statistics & numerical data , Natural Language Processing , Point-of-Care Systems/organization & administration , Algorithms , Artificial Intelligence , Humans , Information Storage and Retrieval/methods , Pennsylvania
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