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

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 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 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.

scholarly journals Data quality assessment in the routine health information system: an application of the Lot Quality Assurance Sampling in Benin

2014 ◽  
Vol 30 (7) ◽  
pp. 837-843 ◽  
Author(s):  
Yolaine Glèlè Ahanhanzo ◽  
Edgard-Marius Ouendo ◽  
Alphonse Kpozèhouen ◽  
Alain Levêque ◽  
Michel Makoutodé ◽  
...  
Keyword(s):  
Information System ◽  
Quality Assurance ◽  
Data Quality ◽  
Quality Assessment ◽  
Health Information ◽  
Health Information System ◽  
Data Quality Assessment ◽  
Lot Quality Assurance Sampling

scholarly journals Barriers and Facilitators of Data Quality and Use in Malawi’s Health Information System

2017 ◽  
Vol 83 (1) ◽  
pp. 36
Author(s):  
K. Finnegan ◽  
M. Marx ◽  
E. Kaludzu ◽  
B. Malunga ◽  
R. O'Hagan ◽  
...  
Keyword(s):  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Barriers And Facilitators

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 Perception of data quality and electronic health information system acceptance, reliability and satisfaction: A study at tertiary care hospital in Saudi Arabia

2021 ◽  
Vol 5 (1) ◽  
pp. 1-6
Author(s):  
Asim Mehmood ◽  
Abdu Mohammad Aqeeli ◽  
Ali Musa ◽  
Adulrahman Muhammad ◽  
Osamah Muhammad
Keyword(s):  
Information System ◽  
Data Quality ◽  
Health Information ◽  
User Satisfaction ◽  
Tertiary Care ◽  
Health Information System ◽  
Data Entry ◽  
Care Hospital ◽  
Electronic Health ◽  
Electronic Health Information

Electronic health information systems (EHIS) are considered a backbone for healthcare planning and quality services. This study was designed to explore the acceptance, reliability, and satisfaction of the end users' experience with the hospital electronic health information system. We also investigated the perception of data quality by the users who were directly involved in data entry. We conducted a questionnaire based cross-sectional survey to collect quantitative data from different EHIS users. The questionnaire contained six sections: demographic user information; general HIS assessment; accessibility and availability of computer terminals in the hospital; EHIS and the patient care; user satisfaction with the HIS and perception of data quality. Desktop computers were available throughout the hospital, but the hospital was lacking handheld computers or computers on wheels. Participants of the study were satisfied with the data entry and retrieval process but they were lacking job training related to troubleshooting. EHIS users were not aware and prepared for the downtime of the system and procedures were also not clear to them. Regarding the perception of data quality, most of the participants responded that data is of adequate quality. There is a need for proper technical support and enhance the hospital's networking speed for better response. Laptops and hand-held computers are the need of time for data entry in critical situations and during wards visit. This can also enhance the quality of data, and reduce the chances of data loss.

scholarly journals Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e051823
Author(s):  
Xavier Bosch-Capblanch ◽  
Angela Oyo-Ita ◽  
Artur Manuel Muloliwa ◽  
Richard B Yapi ◽  
Christian Auer ◽  
...  
Keyword(s):  
Information System ◽  
Randomised Controlled Trial ◽  
Data Quality ◽  
Health Information ◽  
Health Workers ◽  
Controlled Trial ◽  
Health Information System ◽  
Cluster Randomised Controlled Trial ◽  
Cluster Randomised ◽  
Randomised Controlled

IntroductionFront-line health workers in remote health facilities are the first contact of the formal health sector and are confronted with life-saving decisions. Health information systems (HIS) support the collection and use of health related data. However, HIS focus on reporting and are unfit to support decisions. Since data tools are paper-based in most primary healthcare settings, we have produced an innovative Paper-based Health Information System in Comprehensive Care (PHISICC) using a human-centred design approach. We are carrying out a cluster randomised controlled trial in three African countries to assess the effects of PHISICC compared with the current systems.Methods and analysisStudy areas are in rural zones of Côte d’Ivoire, Mozambique and Nigeria. Seventy health facilities in each country have been randomly allocated to using PHISICC tools or to continuing to use the regular HIS tools. We have randomly selected households in the catchment areas of each health facility to collect outcomes’ data (household surveys have been carried out in two of the three countries and the end-line data collection is planned for mid-2021). Primary outcomes include data quality and use, coverage of health services and health workers satisfaction; secondary outcomes are additional data quality and use parameters, childhood mortality and additional health workers and clients experience with the system. Just prior to the implementation of the trial, we had to relocate the study site in Mozambique due to unforeseen logistical issues. The effects of the intervention will be estimated using regression models and accounting for clustering using random effects.Ethics and disseminationEthics committees in Côte d’Ivoire, Mozambique and Nigeria approved the trials. We plan to disseminate our findings, data and research materials among researchers and policy-makers. We aim at having our findings included in systematic reviews on health systems interventions and future guidance development on HIS.Trial registration numberPACTR201904664660639; Pre-results.

Sign in / Sign up

Export Citation Format

Share Document