scholarly journals Effects of a health information system data quality intervention on concordance in Mozambique: time-series analyses from 2009–2012

2015 ◽  
Vol 13 (1) ◽  
Author(s):  
Bradley H Wagenaar ◽  
Sarah Gimbel ◽  
Roxanne Hoek ◽  
James Pfeiffer ◽  
Cathy Michel ◽  
...  
Keyword(s):  
Time Series ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
System Data ◽  
Time Series Analyses

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 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.

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

scholarly journals Factors associated with data quality in the routine health information system of Benin

2014 ◽  
Vol 72 (1) ◽  
Author(s):  
Yolaine Glèlè Ahanhanzo ◽  
Laurent T Ouedraogo ◽  
Alphonse Kpozèhouen ◽  
Yves Coppieters ◽  
Michel Makoutodé ◽  
...  
Keyword(s):  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Factors Associated

scholarly journals Community workers contribution for data quality improvement in routine health information system: Live births number estimation by capture recapture method

2014 ◽  
Vol 04 (01) ◽  
pp. 39-45
Author(s):  
Yolaine Glèlè Ahanhanzo ◽  
Alphonse Kpozèhouen ◽  
Noël Moussiliou Paraïso ◽  
Alain Levêque ◽  
Michel Makoutodé ◽  
...  
Keyword(s):  
Information System ◽  
Quality Improvement ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Live Births ◽  
Capture Recapture

scholarly journals Exploring data quality and use of the routine health information system in Ethiopia: a mixed-methods study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e050356
Author(s):  
◽  
Abyot Adane ◽  
Tewabe M Adege ◽  
Mesoud M Ahmed ◽  
Habtamu A Anteneh ◽  
...  
Keyword(s):  
Information System ◽  
Mixed Methods ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Routine Data ◽  
Mixed Methods Study ◽  
Qualitative Assessment ◽  
Data Generation ◽  
Process Factors

ObjectiveA routine health information system (RHIS) enables decision making in the healthcare system. We aimed to analyse data quality at the district and regional level and explore factors and perceptions affecting the quality and use of routine data.DesignThis was a mixed-methods study. We used the WHO toolkit for analysing data quality and interviewed staff at the point of data generation and along with the flow of data. Data were analysed using the Performance of Routine Information System Management framework.SettingThis study was performed in eight districts in four regions of Ethiopia. The study was nested within a 2-year programme of the Operational Research and Coaching for government Analysts.ParticipantsWe visited 45 health posts, 1 district hospital, 16 health centres and 8 district offices for analysis of routine RHIS data and interviewed 117 staff members for the qualitative assessment.Outcome measuresWe assessed availability of source documents, completeness, timeliness and accuracy of reporting of routine data, and explored data quality and use perceptions.ResultsThere was variable quality of both indicator and data element. Data on maternal health and immunisation were of higher quality than data on child nutrition. Issues ranged from simple organisational factors, such as availability of register books, to intricate technical issues, like complexity of indicators and choice of denominators based on population estimates. Respondents showed knowledge of the reporting procedures, but also demonstrated limited skills, lack of supportive supervision and reporting to please the next level. We saw limited examples of the use of data by the staff who were responsible for data reporting.ConclusionWe identified important organisational, technical, behavioural and process factors that need further attention to improve the quality and use of RHIS data in Ethiopia.

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