Measles Data Reporting in the District Health Information System: A Case Study of Gombe State

BACKGROUND: The District Health Information System (DHIS2) is a modular, cloud-based data management system designed for use in integrated health information systems. In Nigeria, it serves as the repository for routine health data, including measles. A first dose of measles is given routinely in most countries, however, for a country to include a second dose of measles in the routine immunization schedule, it must meet certain criteria set by the World Health Organization (WHO). Unfortunately, Nigeria falls into the category of countries that haven’t met the criteria. Despite this, MCV2 data can be seen on the DHIS2 platform. Data from DHIS2 also shows that Gombe State has the highest number of health facilities that reported MCV2 data at least once from 2015 to 2017. The aim of the study was to determine the reasons for the MCV2 reporting on DHIS2 platform for Gombe State. METHOD: We conducted a cross-sectional study among health workers in selected health facilities and LGA RI Officers at the LGA level in Gombe State. Health facility registers were reviewed, and data consistency was ascertained. We reviewed and conducted secondary data analysis of MCV2 data for Gombe State from January 2015 to December 2017. RESULTS: Of the 22 health facilities assessed, 14 health facilities (12 public and 2 private) reported offering MCV2 during the health facility-level interviews. At the LGA level, 5 LGAs out of the 11 LGAs reported during the LGA-level interviews that a second dose of measles is part of the RI schedule in their respective LGAs. For the 6 LGAs that reported not offering a second dose of measles as part of the RI schedule, 3 LGAs identified data entry error as the possible reason for having MCV2 data in the DHSI2 platform while the remaining 3 LGAs reported that the MCV2 data in the DHIS2 platform can be attributed to recording children who didn’t receive a first dose of measles at 9 months but received at 18–23 months as second dose of measles. CONCLUSION: Data entry error and knowledge gap on how to record measles data were identified factors responsible for MCV2 data on the DHIS2 platform. There is a need for targeted interventions towards improving the quality of RI data in Nigeria.

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

10.21203/rs.2.21463/v2 ◽

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

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-020-01351-3 ◽

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.

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

10.21203/rs.2.21463/v1 ◽

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

10.21203/rs.2.21463/v3 ◽

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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Injury Surveillance with District Health Information System 2 (DHIS2)

Online Journal of Public Health Informatics ◽

10.5210/ojphi.v8i1.6541 ◽

2016 ◽

Vol 8 (1) ◽

Cited By ~ 1

Author(s):

Achala U. Jayatilleke ◽

Megha Ganewatta ◽

Pamod Amarakoon ◽

Roshan Hewapathirana ◽

Achini Jayatilleke

Keyword(s):

Public Health ◽

Information System ◽

Health Information ◽

Health Information System ◽

Public Health Problem ◽

Injury Surveillance ◽

World Health ◽

Global Public Health ◽

District Health ◽

System 2

Injuries are a major but neglected global public health problem. In 2001, World Health Organization (WHO) published injury surveillance guidelines emphasizing the importance of injury surveillance at country levels to cope with this grave problem. However there are no customizable generic injury surveillance systems which can be used in developing countries. Therefore we conducted this study to customize open source public health information system, District Health Information System 2 (DHIS2) for injury surveillance and pilot it in a resource constrained country, Sri Lanka.

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

10.21203/rs.3.rs-576218/v1 ◽

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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Evaluasi Sistem Informasi Manajemen Puskesmas Guna Mendukung Penerapan Sikda Generik Menggunakan Metode Hot Fit Di Kabupaten Purworejo

Jurnal Manajemen Kesehatan Indonesia ◽

10.14710/jmki.4.2.2016.129-138 ◽

2016 ◽

Vol 4 (2) ◽

pp. 129-138 ◽

Cited By ~ 1

Author(s):

Viera Juniver Thenu ◽

Eko Sediyono ◽

Cahya Tri Purnami

Keyword(s):

Information System ◽

Health Center ◽

Health Information ◽

Health Information System ◽

Health Centers ◽

Accurate Information ◽

System Quality ◽

District Health ◽

Routine Monitoring

Purworejo District Health Office (DHO) has developed Health Center Management Information System (HCMIS) to provide quick, precise, and accurate information for supporting the process of decision making and the policy of services at Health Center. However, there was still any empty forms and did not use the system. To standardize Health Information System, Ministry of Health has released a concept of Generic SIKDA. Therefore, the system applied by Purworejo DHO needs to be evaluated using the method of HOT fit. This was qualitative research using indepth interview and direct observation. Main informants were nine data operators and informants for triangulation purpose was six persons from health centers and five persons from DHO. Furthermore, data were analyzed using content analysis. The result of this research revealed that the application of HCMIS at Purworejo DHO was equal to Generic SIKDA. The system had been applied routinely but there was no a guidance book and training. Number of human resources was sufficient. However, there needed to make an implementer team of Health Information System in accordance with competency. There was no routine monitoring and current budget was not sufficient to maintain hardware to support the system. Quality of the system used was good, easy to use, and available of menu to communicate data. Unfortunately, quality of resulted information had still been inaccurate and incomplete because it did not cover data of services at Subsidiary Health Centers (SHC) and Village Health Posts (VHP). The lateness of services was related to a funding procedure. HCMIS at Purworejo DHO was equal to Generic SIKDA but it had not been used to make a decision. As a suggestion, DHO needs to conduct training, monitor, and provide hardware and a network. Meanwhile, Health Centers needs to make a commitment for applying the HCMIS maximally by SHC and VHP.

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Evaluasi Sistem Informasi Kesehatan di Provinsi Jawa Tengah Dalam Rangka Penguatan Sistem Informasi Kesehatan Nasional

Jurnal Manajemen Kesehatan Indonesia ◽

10.14710/jmki.4.3.2016.222-231 ◽

2016 ◽

Vol 4 (3) ◽

pp. 222-231

Author(s):

Endah Sri Lestari ◽

Sutopo Patria Jati ◽

Aris Puji Widodo

Keyword(s):

Information System ◽

Health Information ◽

Government Regulation ◽

Assessment Tool ◽

Health Information System ◽

Research Subjects ◽

District Health ◽

Central Java ◽

High Quality Information ◽

Central Java Province

Evaluasi SIK bertujuan untuk memastikan SIK berjalan secara efisien, mampu mengumpulkan informasi yang relevan dan berkualitas sebagai dasar pengambilan keputusan oleh pemangku kebijakan. Hasil penilaian SIK sangat dibutuhkan dalam meningkatkan kinerja SIK.SIK Provinsi Jawa Tengah merupakan sub sistem dari SIKNAS sehingga pengembangan SIK Provinsi Jawa Tengah akan berpengaruh terhadap penguatan SIKNAS. Tujuan dari penelitian ini adalah untuk mengevaluasi SIK di Provinsi Jawa Tengah dalam rangka Penguatan SIKNAS. Penelitian ini merupakan penelitian deskriptif evaluatif dengan pendekatan kuantitatif dan kualitatif. Subyek penelitian adalah 35 petugas SIK DKK dan enam petugas SIK Dinas Kesehatan Provinsi Jawa Tengah. Pengumpulan data kuantitatif melalui pengisian kuesioner, pengumpulan data kualitatif melalui FGD dan wawancara. Analisis data penelitian dilakukan dengan menggunakan perangkat Evaluasi SIK Provinsi yang merupakan modifikasi dari Assessment Tool HMN Versi 4.00. Modifikasi Assessment Tool HMN Versi 4.00 dilakukan dengan cara menghapus item pertanyaan yang tidak relevan dengan SIK di provinsi dan menambahkan item pertanyaan berdasarkan PP no 46/2016 tentang SIK. Hasil evaluasi terhadap tujuh komponen SIK, empat diantaranya dinilai “ada tapi tidak adekuat” yaitu komponen pengelolaan (54,7%), sumber daya (54,2%), sumber data (58%) dan manajemen data (41,3%). Sementara tiga komponen lainnya dinilai “adekuat”, yaitu komponen indikator (74,3%), produk informasi (71,3%) dan diseminasi dan penggunaan informasi (74,5%).Disimpulkan bahwa secara umum SIK Provinsi Jawa Tengah berada dalam kategori “adekuat”. Untuk meningkatkan pengelolaan SIK di Provinsi Jawa Tengah, direkomendasikan untuk membuat suatu standar tata kelola SIK sebagai acuan pengelolaan SIK di Provinsi Jawa Tengah. Evaluation of Health Information System (HIS) aimed at ascertaining the efficient implementation of HIS that could result relevant and high-quality information to be used as a basis of making a decision by a decision maker. The result of HIS assessment was needed to improve the HIS performance. HIS of Central Java Province was a sub-system of National Health Information System (NHIS) in which the development of HIS there would strengthen the NHIS. The aim of this study was to evaluate HIS in Central Java Province in order to strengthen NHIS. This was a descriptive-evaluative study using quantitative-qualitative approach. Research subjects were 35 HIS officers at District Health Office (DHO) and six HIS officers at Central Java Province Health Office. Quantitative data were collected by filling a questionnaire whereas qualitative data were collected by conducting FGD and indepth interview. Data analysis was performed using a software of Province HIS evaluation that was modified from Assessment Tool HMN version 4.00. Modification of Assessment Tool HMN version 4.00 was performed by deleting questions that were irrelevant with HIS at province and adding questions based on government regulation number 46/2016 about HIS. The results of evaluation of seven components of HIS, four of these seven components indicated “available but inadequate”, namely components of management (54.7%), resource (54.2%), data source (58%), and data management (41.3%). In contrast, three of these seven components were “adequate”, namely components of indicator (74.3%), information product (71.3%), and dissemination and use of information (74.5%). To sum up, generally HIS of Central Java Province was categorised as “adequate”. To improve HIS management in Central Java Province, a standard of HIS management needs to be made as a reference to manage HIS in Central Java Province.

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