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 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 Routine Health Information System in the Health Facilities in Yaoundé-Cameroon: Assessing the Gaps for Strengthening

2020 ◽  
Author(s):  
Brian Bongwong Tamfon ◽  
Chanceline Bilounga Ndongo ◽  
Serge Marcial Bataliack ◽  
Marie Nicole Ngoufack ◽  
Georges Nguefack-Tsague
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Information Dissemination ◽  
Health Sector ◽  
Health Information System ◽  
Health Facilities ◽  
World Health ◽  
Quality Data ◽  
Health Related

Abstract Background: Management of health data and its use for informed decision making is a challenging health sector aspect in developing countries. Monitoring and evaluation of health interventions for meeting health-related Sustainable Development Goals (SDGs), and Cameroon Health Sector Strategy (HSS) targets is facilitated through evidence-based decision-making and public health action. Thus, a Routine Health Information System (RHIS) producing quality data is imperative. The objective of this study was to assess the RHIS in the health facilities (HFs) in Yaoundé in order to identify gaps and weaknesses and to propose measures for strengthening. Methods: A health facility-based cross-sectional descriptive study was carried out in the six health districts (HDs) of Yaoundé; followed by a qualitative aspect consisting of in-depth interviews of key informants at the Regional Health Office. HFs were selected using a stratified sampling method with probability proportional to the size of each HD. Data were collected (one respondent per HF) using the World Health Organization (WHO) and MEASURE Evaluation RHIS rapid assessment tool. Data were entered into Microsoft Excel 2013 and analyzed with IBM-SPSS version 20. Results: A total of 111 HFs were selected for the study. Respondents aged 24-60 years with an average of 38.3±9.3 years; 58 (52.3%) male and 53(47.7%) female. Heads of HFs and persons in charge of statistics/data management were most represented with 45.0% and 21.6% respectively. All the twelve subdomains of the RHIS were adequately functioning at between 7% and 30%. These included Human Resources (7%), Data Analysis (10%), Information and Communication Technology (11%), Standards and System Design (15%), Policies and Planning (15%), Information Dissemination (16%), Data Demand and Use (16%), Management (18%), Data Needs (18%), Data Quality Assurance (20%), Collection and Management of Individual Client Data (26%), Collection, Management, and Reporting of Aggregated Facility Data (30%). Conclusions: The level of functioning of subdomains of the RHIS in Yaoundé was low; thus, immediate and district-specific strengthening actions should be implemented if health-related SDGs and HSS targets are to be met. A nation-wide assessment should be carried out in order to understand the determinants of these poor performances and to strengthen the RHIS.

scholarly journals Routine health information system in the health facilities in Yaoundé–Cameroon: assessing the gaps for strengthening

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Brian Bongwong Tamfon ◽  
Chanceline Bilounga Ndongo ◽  
Serge Marcial Bataliack ◽  
Marie Nicole Ngoufack ◽  
Georges Nguefack-Tsague
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Information Dissemination ◽  
Health Sector ◽  
Health Information System ◽  
Health Facilities ◽  
World Health ◽  
Quality Data ◽  
Health Related

Abstract Background Management of health data and its use for informed-decision making is a challenging health sector aspect in developing countries. Monitoring and evaluation of health interventions for meeting health-related Sustainable Development Goals (SDGs), and Cameroon Health Sector Strategy (HSS) targets is facilitated through evidence-based decision-making and public health action. Thus, a routine health information system (RHIS) producing quality data is imperative. The objective of this study was to assess the RHIS in the health facilities (HFs) in Yaoundé in order to identify gaps and weaknesses and to propose measures for strengthening. Methods A health facility-based cross-sectional descriptive study was carried out in the six health districts (HDs) of Yaoundé; followed by a qualitative aspect consisting of in-depth interviews of key informants at the Regional Health Office. HFs were selected using a stratified sampling method with probability proportional to the size of each HD. Data were collected (one respondent per HF) using the World Health Organization and MEASURE Evaluation RHIS rapid assessment tool. Data were entered into Microsoft Excel 2013 and analyzed with IBM-SPSS version 20. Results A total of 111 HFs were selected for the study. Respondents aged 24–60 years with an average of 38.3 ± 9.3 years; 58 (52.3%) male and 53(47.7%) female. Heads of HFs and persons in charge of statistics/data management were most represented with 45.0% and 21.6% respectively. All the twelve subdomains of the RHIS were adequately functioning at between 7 and 30%. These included Human Resources (7%), Data Analysis (10%), Information and Communication Technology (11%), Standards and System Design (15%), Policies and Planning (15%), Information Dissemination (16%), Data Demand and Use (16%), Management (18%), Data Needs (18%), Data Quality Assurance (20%), Collection and Management of Individual Client Data (26%), Collection, Management, and Reporting of Aggregated Facility Data (30%). Conclusions The level of functioning of subdomains of the RHIS in Yaoundé was low; thus, immediate and district-specific strengthening actions should be implemented if health-related SDGs and HSS targets are to be met. A nation-wide assessment should be carried out in order to understand the determinants of these poor performances and to strengthen the RHIS.

scholarly journals Routine Health Information System in the Health Facilities in Yaoundé-Cameroon: Assessing the Gaps for Strengthening

2020 ◽  
Author(s):  
Brian Bongwong Tamfon ◽  
Chanceline Bilounga Ndongo ◽  
Serge Marcial Bataliack ◽  
Marie Nicole Ngoufack ◽  
Georges Nguefack-Tsague
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Information Dissemination ◽  
Health Sector ◽  
Health Information System ◽  
Health Facilities ◽  
World Health ◽  
Quality Data ◽  
Health Related

Abstract Background Management of health data and its use for informed decision making is a challenging health sector aspect in developing countries. Monitoring and evaluation of health interventions for meeting health-related Sustainable Development Goals (SDGs), and Cameroon Health Sector Strategy (HSS) targets is facilitated through evidence-based decision-making and public health action. Thus, a Routine Health Information System (RHIS) producing quality data is imperative. The objective of this study was to assess the RHIS in the health facilities (HFs) in Yaoundé in order to identify gaps and weaknesses and to propose measures for strengthening. Methods A health facility-based cross-sectional descriptive study was carried out in the six health districts (HDs) of Yaoundé; followed by a qualitative aspect consisting of in-depth interviews of key informants at the Regional Health Office. HFs were selected using a stratified sampling method with probability proportional to the size of each HD. Data were collected (one respondent per HF) using the World Health Organization (WHO) and MEASURE Evaluation RHIS rapid assessment tool. Data were entered into Microsoft Excel 2013 and analyzed with IBM-SPSS version 20. Results A total of 111 HFs were selected for the study. Respondents aged 24-60 years with an average of 38.3±9.3 years; 58 (52.3%) male and 53(47.7%) female. Heads of HFs and persons in charge of statistics/data management were most represented with 45.0% and 21.6% respectively. All the twelve subdomains of the RHIS were adequately functioning at between 7% and 30%. These included Human Resources (7%), Data Analysis (10%), Information and Communication Technology (11%), Standards and System Design (15%), Policies and Planning (15%), Information Dissemination (16%), Data Demand and Use (16%), Management (18%), Data Needs (18%), Data Quality Assurance (20%), Collection and Management of Individual Client Data (26%), Collection, Management, and Reporting of Aggregated Facility Data (30%). Conclusions The level of functioning of subdomains of the RHIS in Yaoundé was low; thus, immediate and district-specific strengthening actions should be implemented if health-related SDGs and HSS targets are to be met. A nation-wide assessment should be carried out in order to understand the determinants of these poor performances and to strengthen the RHIS.

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 EVALUASI SISTEM INFORMASI KESEHATAN PUSKESMAS KOTA MATSUM DI MEDAN MENGGUNAKAN PENDEKATAN INSTRUMEN HEALTH METRICS NETWORK

2019 ◽  
Vol 1 (01) ◽  
Author(s):  
Putra Apriadi Siregar ◽  
Luthfiah Mawar ◽  
Wan Rizky Chairunnisa ◽  
Maulida Rezkiah ◽  
Ananda Nurul Hidayah ◽  
...  
Keyword(s):  
Public Health ◽  
Information System ◽  
Health Center ◽  
Health Information ◽  
Health Information System ◽  
Primary Data ◽  
Public Health Services ◽  
North Sumatra ◽  
The City

<p><em>The implementation of a Health Information System (HIS) will produce an overview of the development of health service status in a health facility. This description can be seen by carrying out HIS evaluation activities. The HIS evaluation seeks to improve and strengthen the health available at the puskesmas, the results of these efforts are expected to be an important step to improve the quality of public health services. This study aims to determine the HIS description in Matsum City Health Center. The study was conducted by evaluating the HIS performance at the Puskesmas. The study was conducted at the City Matsum Health Center Medan, North Sumatra in July 2018. The subjects in this study were the Head of the Sub-Section of the Administration of the City of Matsum Health Center which was taken based on purposive sampling. The data used in the form of primary data taken by conducting direct interviews and observation. Check the validity of the data using the triangulation method. The HIS City Health Center Matsum performance evaluation was conducted using a version of HMN version 4.0 by assessing various components of HIS. The results of evalution that have been conducted at the city Health Center in Matsum, from the six HIS components according to the HMN instrument, none of the components were included in the “not adequate” category with the highedst score on the Dissemination and Use Components while the lowest score was in the Data Management Component. The conclusion of this study is that the HMN-based Health Information System at Matsum City Health Center has been running quite well but still needs to be improved especially regarding data processing.</em><em></em></p>

scholarly journals Routine Health Information System in the Health Facilities in Yaoundé-Cameroon: Assessing the Gaps for Strengthening

2020 ◽  
Author(s):  
Brian Bongwong Tamfon ◽  
Chanceline Bilounga Ndongo ◽  
Serge Marcial Bataliack ◽  
Marie Nicole Ngoufack ◽  
Georges Nguefack-Tsague
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Information Dissemination ◽  
Health Sector ◽  
Health Information System ◽  
Health Facilities ◽  
World Health ◽  
Quality Data ◽  
Health Related

Abstract Background: Management of health data and its use for informed-decision making is a challenging health sector aspect in developing countries. Monitoring and evaluation of health interventions for meeting health-related Sustainable Development Goals (SDGs), and Cameroon Health Sector Strategy (HSS) targets is facilitated through evidence-based decision-making and public health action. Thus, a Routine Health Information System (RHIS) producing quality data is imperative. The objective of this study was to assess the RHIS in the health facilities (HFs) in Yaoundé in order to identify gaps and weaknesses and to propose measures for strengthening. Methods: A health facility-based cross-sectional descriptive study was carried out in the six health districts (HDs) of Yaoundé; followed by a qualitative aspect consisting of in-depth interviews of key informants at the Regional Health Office. HFs were selected using a stratified sampling method with probability proportional to the size of each HD. Data were collected (one respondent per HF) using the World Health Organization (WHO) and MEASURE Evaluation RHIS rapid assessment tool. Data were entered into Microsoft Excel 2013 and analyzed with IBM-SPSS version 20. Results: A total of 111 HFs were selected for the study. Respondents aged 24-60 years with an average of 38.3±9.3 years; 58 (52.3%) male and 53(47.7%) female. Heads of HFs and persons in charge of statistics/data management were most represented with 45.0% and 21.6% respectively. All the twelve subdomains of the RHIS were adequately functioning at between 7% and 30%. These included Human Resources (7%), Data Analysis (10%), Information and Communication Technology (11%), Standards and System Design (15%), Policies and Planning (15%), Information Dissemination (16%), Data Demand and Use (16%), Management (18%), Data Needs (18%), Data Quality Assurance (20%), Collection and Management of Individual Client Data (26%), Collection, Management, and Reporting of Aggregated Facility Data (30%). Conclusions: The level of functioning of subdomains of the RHIS in Yaoundé was low; thus, immediate and district-specific strengthening actions should be implemented if health-related SDGs and HSS targets are to be met. A nation-wide assessment should be carried out in order to understand the determinants of these poor performances and to strengthen the RHIS.

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