Geographic Information System as a Tool for Integration of District Health Information System and Drug Logistics Management Information System in Malawi

Author(s):  
Patrick Albert Chikumba ◽  
Auxilia Nyaukaya Kaunda
2020 ◽  
Author(s):  
Tahmina Begum ◽  
Shaan Muberra Khan ◽  
Bridgit Adamou ◽  
Jannatul Ferdous ◽  
Muhammad Masud Parvez ◽  
...  

Abstract Background: Accurate and high-quality data are important for improving program effectiveness and informing policy. Bangladesh’s health management information system adopted the District Health Information Software, Version 2 (DHIS2) in 2009 to capture real-time health service utilization data. However, routinely collected data are being underused because of poor data quality. We aimed to understand the facilitators and barriers of implementing DHIS2 as a way to retrieve meaningful and accurate data for reproductive, maternal and child health (RMCAH) services. Methods: This qualitative study was conducted in two districts of Bangladesh from September 2017 to 2018. Data collection included key informant interviews (n=11), in-depth interviews (n=23), and focus group discussions (n=2). The study participants were individuals involved with DHIS2 implementation from the community level to the national level. The data were analyzed thematically.Results: DHIS2 could improve the timeliness and completeness of data reporting over time. The reported facilitating factors were strong government commitment, extensive donor support, and positive attitudes toward the technology among staffs. Quality checks and feedback loops at multiple levels of data gathering points were helpful to minimize data errors. Introducing a dashboard makes DHIS2 compatible to use as monitoring tool. However, the barriers to effective DHIS2 implementation were lack of human resources, slow Internet connectivity, frequent changes to of DHIS2 versions, and maintaining both manual and electronic system side-by-side. Data in DHIS2 remains incomplete because it does not capture data from private health facilities. Having two parallel management information systems reporting the same RMNCAH indicators threatens data quality and increases the reporting workload. Conclusion: The overall insights from this study are expected to contribute to the development of effective strategies for successful DHIS2 implementation and building responsive health management information system. Focused strategic direction is needed to sustain the achievements of digital data culture. Periodic refresher trainings, incentives for increased performance, and an automated single reporting system for multiple stakeholders could make the system more user-friendly. A national electronic health strategy and implementation framework can facilitate creating a culture of DHIS2 use for planning, setting priorities, and decision making among stakeholder groups.


Author(s):  
L. Yu. Babintseva

It is the deepening of the previously formulated a proposal on the functioning of the author in a single medical information space of two information systems - the integrated health information system and management information system trafficking drugs on the principle of complementarity and congruence. The problems of integration of various information systems for health care are discussed. There is proposed a quantitative evaluation of the effectiveness of the joint use of information systems in the framework of the solution of a problem.


2019 ◽  
Author(s):  
Tahmina Begum ◽  
Shaan Muberra Khan ◽  
Bridgit Adamou ◽  
Jannatul Ferdous ◽  
Muhammad Masud Parvez ◽  
...  

Abstract Background: Accurate and high-quality data are important for improving program effectiveness and informing policy. Bangladesh’s health management information system adopted the District Health Information Software, Version 2 (DHIS2) in 2009 to capture real-time health service utilization data. However, routinely collected data are being underused because of poor data quality. We aimed to understand the facilitators and barriers of implementing DHIS2 as a way to retrieve meaningful and accurate data for reproductive, maternal and child health (RMCAH) services. Methods: This qualitative study was conducted in two districts of Bangladesh from September 2017 to 2018. Data collection included key informant interviews (n=11), in-depth interviews (n=23), and focus group discussions (n=2). The study participants were individuals involved with DHIS2 implementation from the community level to the national level. The data were analyzed thematically. Results: DHIS2 could improve the timeliness and completeness of data reporting over time. The reported facilitating factors were strong government commitment, extensive donor support, and positive attitudes toward the technology among staffs. Quality checks and feedback loops at multiple levels of data gathering points were helpful to minimize data errors. Introducing a dashboard makes DHIS2 compatible to use as monitoring tool. However, the barriers to effective DHIS2 implementation were lack of human resources, slow Internet connectivity, frequent changes to of DHIS2 versions, and maintaining both manual and electronic system side-by-side. Data in DHIS2 remains incomplete because it does not capture data from private health facilities. Having two parallel management information systems reporting the same RMNCAH indicators threatens data quality and increases the reporting workload. Conclusion: The overall insights from this study are expected to contribute to the development of effective strategies for successful DHIS2 implementation and building responsive health management information system. Focused strategic direction is needed to sustain the achievements of digital data culture. Periodic refresher trainings, incentives for increased performance, and an automated single reporting system for multiple stakeholders could make the system more user-friendly. A national electronic health strategy and implementation framework can facilitate creating a culture of DHIS2 use for planning, setting priorities, and decision making among stakeholder groups.


2016 ◽  
Vol 1 (2) ◽  
pp. 98 ◽  
Author(s):  
Ermias Abera ◽  
Kidist Daniel ◽  
Taye Letta ◽  
Desalegn Tsegaw

<p><strong><em>Background:</em></strong><em> Health Information systems are increasingly important for measuring and </em><em>improving the quality and coverage of health services. Reliable and timely health information </em><em>is vital for operational and strategic decision making that save lives and enhances health. In Ethiopia information quality and use remain weak, particularly at district health offices and </em><em>primary health care facilities to facilitate decision making. Therefore this study will be designed to greatly signal the current status of Health Management Information System (HMIS) in study area.</em></p><p><strong><em>Objective:</em></strong><em> </em><em>To assess the utilization of health management information systems and associated factors at health centers in Hadiya zone, </em><em>Southern Ethiopia, 2014.</em></p><p><strong><em>Methods:</em></strong><em> A cross sectional study was conducted in health institutions by interviewing </em><em>units/departments of health centers from </em><em>April to June, 2014. Quantitative data was collected using structured </em><em>questionnaires, check lists, observation and interview guide by trained data collectors. Data </em><em>was analyzed using SPSS version 20 and descriptive and logistic regression analysis was carried out.</em></p><p><strong><em>Results:</em></strong><em> The finding of the study revealed that utilization of health management information was 242(69.3%) in all the study units/departments of health centers. Health center units/department had key indicators (AOR=3.67; 95%CI: 2.11, 6.39), completeness of data format (AOR=3.42; 95%CI: 1.65, 7.08), consistency of data (AOR=1.91; 95%CI: 1.05, 3.48)</em><em> were found to be significantly associated with utilization of health information system at 95% level of significance. </em></p><p class="Default"><strong><em>Conclusion:</em></strong><em> Health center units/departments </em><em>had key indicators, completeness of data and consistency of data were predictors of utilization of health management information</em><em> </em><em>system. Therefore, in-service training and updating of staff involved in Health Management Information System (HMIS) at district, strengthening health information system inputs, timely and concrete feedbacks with establishment of functional Health Management Information System (HMIS).</em></p><strong><em></em></strong>


2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.


2013 ◽  
Vol 380-384 ◽  
pp. 4667-4670
Author(s):  
Meng Jie Wang

This paper analyzes the status quo of Chinese Universities logistics management information system; using the Struts framework based on J2EE university logistics management information system, and the basic structure of the system, the main features integral part of, the main function analysis; combination of university logistics management the actual analysis of the information system client Web layer, business layer, data layer is designed to build stability, flexibility and scalability, easy maintenance of university logistics management information system, and enhance the logistical support capabilities, strengthening the logistics market management, improve work efficiency.


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