scholarly journals Increased Hospitalizations for Neuropathies as Indicators of Zika Virus Infection, according to Health Information System Data, Brazil

2016 ◽  
Vol 22 (11) ◽  
pp. 1894-1899 ◽  
Author(s):  
Christovam Barcellos ◽  
Diego Ricardo Xavier ◽  
Ana Luiza Pavão ◽  
Cristiano Siqueira Boccolini ◽  
Maria Fatima Pina ◽  
...  
Keyword(s):  
Information System ◽  
Virus Infection ◽  
Health Information ◽  
Zika Virus ◽  
Health Information System ◽  
Zika Virus Infection ◽  
System Data

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.

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 Use of Routine Health Information System Data to Evaluate Impact of Malaria Control Interventions in Zanzibar, Tanzania from 2000 to 2015

2019 ◽  
Vol 12 ◽  
pp. 11-19 ◽  
Author(s):  
Ruth A. Ashton ◽  
Adam Bennett ◽  
Abdul-Wahid Al-Mafazy ◽  
Ali K. Abass ◽  
Mwinyi I. Msellem ◽  
...  
Keyword(s):  
Information System ◽  
Health Information ◽  
Malaria Control ◽  
Health Information System ◽  
System Data

scholarly journals An assessment of routine primary care health information system data quality in Sofala Province, Mozambique

2011 ◽  
Vol 9 (1) ◽  
Author(s):  
Sarah Gimbel ◽  
Mark Micek ◽  
Barrot Lambdin ◽  
Joseph Lara ◽  
Marina Karagianis ◽  
...  
Keyword(s):  
Primary Care ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Primary Care Health ◽  
System Data ◽  
Care Health

scholarly journals Disruption in essential health services in Mexico during COVID-19: an interrupted time series analysis of health information system data

2021 ◽  
Vol 6 (9) ◽  
pp. e006204
Author(s):  
Svetlana V Doubova ◽  
Hannah H Leslie ◽  
Margaret E Kruk ◽  
Ricardo Pérez-Cuevas ◽  
Catherine Arsenault
Keyword(s):  
Time Series ◽  
Information System ◽  
Health Services ◽  
Health Information ◽  
Service Use ◽  
Communicable Disease ◽  
Caesarean Section Rate ◽  
Health Information System ◽  
Interrupted Time Series ◽  
System Data

IntroductionThe COVID-19 pandemic has disrupted health systems around the world. The objectives of this study are to estimate the overall effect of the pandemic on essential health service use and outcomes in Mexico, describe observed and predicted trends in services over 24 months, and to estimate the number of visits lost through December 2020.MethodsWe used health information system data for January 2019 to December 2020 from the Mexican Institute of Social Security (IMSS), which provides health services for more than half of Mexico’s population—65 million people. Our analysis includes nine indicators of service use and three outcome indicators for reproductive, maternal and child health and non-communicable disease services. We used an interrupted time series design and linear generalised estimating equation models to estimate the change in service use and outcomes from April to December 2020. Estimates were expressed using average marginal effects on the risk ratio scale.ResultsThe study found that across nine health services, an estimated 8.74 million patient visits were lost in Mexico. This included a decline of over two thirds for breast and cervical cancer screenings (79% and 68%, respectively), over half for sick child visits and female contraceptive services, approximately one-third for childhood vaccinations, diabetes, hypertension and antenatal care consultations, and a decline of 10% for deliveries performed at IMSS. In terms of patient outcomes, the proportion of patients with diabetes and hypertension with controlled conditions declined by 22% and 17%, respectively. Caesarean section rate did not change.ConclusionSignificant disruptions in health services show that the pandemic has strained the resilience of the Mexican health system and calls for urgent efforts to resume essential services and plan for catching up on missed preventive care even as the COVID-19 crisis continues in Mexico.

scholarly journals Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera Abaerei ◽  
Teferi Gebru Gebremeskel ◽  
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 the Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation checklists. 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 good quality data in 51.35% (95% CI 44.6–58.1) of the departments in public health facilities in the Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to those 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 provisions of feedbacks (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. Lack of trained personnel able to fill the reporting format and feedback were the factors that are found to be affecting data quality. Therefore, training should be provided to increase the knowledge and skills of the health workers. Regular supportive supervision and feedback should also be maintained.

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