Research gaps in routine health information system design barriers to data quality and use in low- and middle-income countries: A literature review

2017 ◽  
Vol 33 (1) ◽  
pp. e1-e9 ◽  
Author(s):  
Manish Kumar ◽  
David Gotz ◽  
Tara Nutley ◽  
Jason B. Smith
Keyword(s):  
Information System ◽  
Literature Review ◽  
Data Quality ◽  
System Design ◽  
Health Information ◽  
Health Information System ◽  
Research Gaps ◽  
Middle Income ◽  
Information System Design ◽  
Middle Income Countries

scholarly journals Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0239683
Author(s):  
Seblewengel Lemma ◽  
Annika Janson ◽  
Lars-Åke Persson ◽  
Deepthi Wickremasinghe ◽  
Carina Källestål
Keyword(s):  
Information System ◽  
Health Information ◽  
Scoping Review ◽  
Health Information System ◽  
Middle Income ◽  
Middle Income Countries ◽  
System Data ◽  
Low And Middle Income

scholarly journals Using Routine Health Information Data for Research in Low- and Middle-Income Countries: A Systematic Review

2020 ◽  
Author(s):  
Yuen Wai Hung ◽  
Klesta Hoxha ◽  
Bridget R. Irwin ◽  
Michael R. Law ◽  
Karen Ann Grépin
Keyword(s):  
Systematic Review ◽  
Information System ◽  
Health Information ◽  
Health Information System ◽  
Sub Saharan Africa ◽  
Health Conditions ◽  
Health Management Information System ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

Abstract Background: Routine health information systems (RHISs) support resource allocation and management decisions at all levels of the health system, as well as strategy development and policy-making in many low- and middle-income countries (LMICs). Although RHIS data represent a rich source of information, such data are currently underused for research purposes, largely due to concerns over data quality. Given that substantial investments have been made in strengthening RHISs in LMICs in recent years and that there is a growing demand for more real-time data from researchers, this systematic review builds upon the existing literature to summarize the extent to which RHIS data have been used in peer-reviewed research publications. Methods: Using terms ‘routine health information system’, ‘health information system’, or ‘health management information system’ and a list of LMICs, four electronic peer-review literature databases were searched from inception to February 20 2019: PubMed, Scopus, EMBASE, and EconLit. Articles were assessed for inclusion based on pre-determined eligibility criteria and study characteristics were extracted from included articles using a piloted data extraction form.Results: We identified 132 studies that met our inclusion criteria, originating in 37 different countries. Overall, the majority of the studies identified were from Sub-Saharan Africa and were published within the last five years. Malaria and maternal health were the most commonly studied health conditions, although a number of other health conditions and health services were also explored. Conclusions: Our study identified an increasing use of RHIS data for research purposes, with many studies applying rigorous study designs and analytic methods to advance program evaluation, monitoring and assessing services, and epidemiological studies in LMICs. RHIS data represent an underused source of data and should be made more available and further embraced by the research community in LMIC health systems.

scholarly journals Using Routine Health Information Data for Research in Low- and Middle-Income Countries: A Systematic Review

2020 ◽  
Author(s):  
Yuen Wai Hung ◽  
Klesta Hoxha ◽  
Bridget R. Irwin ◽  
Michael R. Law ◽  
Karen Ann Grépin
Keyword(s):  
Systematic Review ◽  
Information System ◽  
Health Information ◽  
Health Information System ◽  
Sub Saharan Africa ◽  
Health Conditions ◽  
Health Management Information System ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

Abstract Background : Routine health information systems (RHISs) support resource allocation and management decisions at all levels of the health system, as well as strategy development and policy-making in many low- and middle-income countries (LMICs). Although RHIS data represent a rich source of information, such data are currently underused for research purposes, largely due to concerns over data quality. Given that substantial investments have been made in strengthening RHISs in LMICs in recent years and that there is a growing demand for more real-time data from researchers, this systematic review builds upon the existing literature to summarize the extent to which RHIS data have been used in peer-reviewed research publications. Methods : Using terms ‘routine health information system’, ‘health information system’, or ‘health management information system’ and a list of LMICs, four electronic peer-review literature databases were searched from inception to February 20 2019: PubMed, Scopus, EMBASE, and EconLit. Articles were assessed for inclusion based on pre-determined eligibility criteria and study characteristics were extracted from included articles using a piloted data extraction form. Results : We identified 132 studies that met our inclusion criteria, originating in 37 different countries. Overall, the majority of the studies identified were from Sub-Saharan Africa and were published within the last five years. Malaria and maternal health were the most commonly studied health conditions, although a number of other health conditions and health services were also explored. Conclusions : Our study identified an increasing use of RHIS data for research purposes, with many studies applying rigorous study designs and analytic methods to advance program evaluation, monitoring and assessing services, and epidemiological studies in LMICs. RHIS data represent an underused source of data and should be made more available and further embraced by the research community in LMIC health systems.

Applying an Evaluation Framework for Health Information System Design, Development, and Implementation

2006 ◽  
Vol 55 (Supplement 1) ◽  
pp. S37-S42 ◽  
Author(s):  
David Kaufman ◽  
Wm. Dan Roberts ◽  
Jacqueline Merrill ◽  
Tsai-Ya Lai ◽  
Suzanne Bakken
Keyword(s):  
Information System ◽  
System Design ◽  
Health Information ◽  
Health Information System ◽  
Evaluation Framework ◽  
Design Development ◽  
Information System Design

scholarly journals Using Routine Health Information Data for Research in Low- and Middle-Income Countries: A Systematic Review

2020 ◽  
Author(s):  
Yuen Wai Hung ◽  
Klesta Hoxha ◽  
Bridget R. Irwin ◽  
Michael R. Law ◽  
Karen Ann Grépin
Keyword(s):  
Systematic Review ◽  
Information System ◽  
Health Information ◽  
Health Information System ◽  
Health Conditions ◽  
Health Management Information System ◽  
Time Data ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

Abstract Background: Routine health information systems (RHISs) support resource allocation and management decisions at all levels of the health system, as well as strategy development and policy-making in many low- and middle-income countries (LMICs). Although RHIS data represent a rich source of information, such data are currently underused for research purposes, largely due to concerns over data quality. Given that substantial investments have been made in strengthening RHISs in LMICs in recent years and the growing demand for more real-time data from researchers, this systematic review builds upon the existing literature to summarize the extent to which RHIS data have been used in peer-reviewed research publications. Methods: Using terms ‘routine health information system’, ‘health information system’, or ‘health management information system’ and a list of LMICs, four electronic peer-review literature databases were searched from inception to February 20 2019: PubMed, Scopus, EMBASE, and EconLit. Articles were assessed based on pre-determined eligibility criteria. Identified characteristics were extracted using a piloted data extraction form. Results: We identified 132 studies that met our inclusion criteria in 37 different countries. Overall, the majority of the studies identified were from Sub-Saharan African countries and were published in the last five years. Malaria and maternal health were the most commonly studied health conditions, although a number of other health conditions and health services were also explored. Conclusions: Our study identified an increasing use of RHIS data in research with many studies applying rigorous study designs and analytic methods to advance program evaluation, monitoring and assessment of services, and epidemiology in LMICs. RHIS data represent an underused source of data and should be further embraced by the research community to gain insights from LMIC health systems.

Quality of Routine Health Information System Data and Associated Factors Among Departments in Public Health Facilities of Harari Region, Ethiopia

2021 ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera ◽  
Negga Baraki
Keyword(s):  
Public Health ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Health Facilities ◽  
Quality Data ◽  
Public Health Facilities ◽  
System Data

Abstract Background: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia.Methods: A cross-sectional study was conducted in all public health facilities in Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation check-lists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P-value <0.05. Result: The study found a good quality data in 51.35% (95% CI, 44.6-58.1) of the departments in public health facilities in Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to departments found in the health posts. The presence of trained staffs able to fill reporting formats (AOR=2.474; 95%CI: 1.124-5.445) and provision of feedback (AOR=3.083; 95%CI: 1.549-6.135) were also significantly associated with data quality. Conclusion: The level of good data quality in the public health facilities was less than the expected national level. Training should be provided to increase the knowledge and skills of the health workers.

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