Georges Nguefack-Tsague1,2, Brian Bongwong Tamfon3,4, Ismael Ngnie-Teta5, Marie Nicole Ngoufack4,6,7, Basile Keugoung8, Serge Marcial Bataliack9, Chanceline Bilounga Ndongo10. 1. Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon. nguefacktsague@gmail.com. 2. Challenges Initiative Solutions, Yaoundé, Cameroon. nguefacktsague@gmail.com. 3. Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon. 4. Challenges Initiative Solutions, Yaoundé, Cameroon. 5. Helen Keller International, Yaoundé, Cameroon. 6. Department of Biochemistry, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon. 7. Systems Biology, Chantal Biya International Reference Centre for Research on HIV and AIDS Prevention and Management (CBIRC), Yaoundé, Cameroon. 8. UNICEF, Yaoundé, Cameroon. 9. World Health Organisation, Yaoundé, Cameroon. 10. Department of Disease Control, Epidemics and Pandemics, Ministry of Public Health, Yaoundé, Cameroon.
Abstract
BACKGROUND: Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality data for informed decision making. This has negatively influenced the health service delivery and uptake. This study focuses on identifying the factors associated with the performance of RHIS of the health facilities (HF) in Yaoundé, so as to guide targeted RHIS strengthening. METHODS: A HF-based cross-sectional study in the 6 health districts (HDs) of Yaoundé was conducted. HFs were chosen using stratified sampling with probability proportional to size per HD. Data were collected, entered into Microsoft Excel 2013 and analysed with IBM- SPSS version 25. Consistency of the questionnaire was measured using Cronbach's alpha coefficient. Pearson's chi-square (and Fisher exact where relevant) tests were used to establish relationships between qualitative variables. Associations were further quantified using unadjusted Odd ratio (OR) for univariable analysis and adjusted odds ratio (aOR) for multivariable analysis with 95% confidence interval (CI). A p-value of less than 0.05 was considered statistically significant. RESULTS: Of 111 selected HFs; 16 (14.4%) were public and 95 (85.6%) private. Respondents aged 24-60 years with an average of 38.3 ± 9.3 years; 58 (52.3%) males and 53(47.7%) females. Cronbach's alpha was 0.96 (95%CI: 0.95-0.98, p < 0.001), proving that the questionnaire was reliable in measuring RHIS performances. At univariable level, the following factors were positively associated with good performances: supportive supervision (OR = 3.03 (1.1, 8.3); p = 0.02), receiving feedback from hierarchy (OR = 3.6 (0.99, 13.2); p = 0.05), having received training on health information (OR = 5.0 (1.6, 16.0); p = 0.003), and presence of a performance evaluation plan (OR = 3.3 (1.4, 8.2), p = 0.007). At multivariable level, the only significantly associated factor was having received training on health information (aOR = 3.3 (1.01, 11.1), p = 0.04). CONCLUSION: Training of health staff in the RHIS favors RHIS good performance. Hence, emphasis should be laid on training and empowering staff, frequent and regular RHIS supervision, and frequent and regular feedback, for an efficient RHIS strengthening in Yaoundé.
BACKGROUND: Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality data for informed decision making. This has negatively influenced the health service delivery and uptake. This study focuses on identifying the factors associated with the performance of RHIS of the health facilities (HF) in Yaoundé, so as to guide targeted RHIS strengthening. METHODS: A HF-based cross-sectional study in the 6 health districts (HDs) of Yaoundé was conducted. HFs were chosen using stratified sampling with probability proportional to size per HD. Data were collected, entered into Microsoft Excel 2013 and analysed with IBM- SPSS version 25. Consistency of the questionnaire was measured using Cronbach's alpha coefficient. Pearson's chi-square (and Fisher exact where relevant) tests were used to establish relationships between qualitative variables. Associations were further quantified using unadjusted Odd ratio (OR) for univariable analysis and adjusted odds ratio (aOR) for multivariable analysis with 95% confidence interval (CI). A p-value of less than 0.05 was considered statistically significant. RESULTS: Of 111 selected HFs; 16 (14.4%) were public and 95 (85.6%) private. Respondents aged 24-60 years with an average of 38.3 ± 9.3 years; 58 (52.3%) males and 53(47.7%) females. Cronbach's alpha was 0.96 (95%CI: 0.95-0.98, p < 0.001), proving that the questionnaire was reliable in measuring RHIS performances. At univariable level, the following factors were positively associated with good performances: supportive supervision (OR = 3.03 (1.1, 8.3); p = 0.02), receiving feedback from hierarchy (OR = 3.6 (0.99, 13.2); p = 0.05), having received training on health information (OR = 5.0 (1.6, 16.0); p = 0.003), and presence of a performance evaluation plan (OR = 3.3 (1.4, 8.2), p = 0.007). At multivariable level, the only significantly associated factor was having received training on health information (aOR = 3.3 (1.01, 11.1), p = 0.04). CONCLUSION: Training of health staff in the RHIS favors RHIS good performance. Hence, emphasis should be laid on training and empowering staff, frequent and regular RHIS supervision, and frequent and regular feedback, for an efficient RHIS strengthening in Yaoundé.
Entities:
Keywords:
Associated factors; Health informatics; Medical informatics; Medical informatics applications; Routine health information system
Authors: Hari S Iyer; Emmanuel Kamanzi; Jean Claude Mugunga; Karen Finnegan; Alice Uwingabiye; Edward Shyaka; Saleh Niyonzima; Lisa R Hirschhorn; Peter C Drobac Journal: Glob Health Action Date: 2015-07-01 Impact factor: 2.640
Authors: Abdoulaye Maïga; Safia S Jiwani; Martin Kavao Mutua; Tyler Andrew Porth; Chelsea Maria Taylor; Gershim Asiki; Dessalegn Y Melesse; Candy Day; Kathleen L Strong; Cheikh Mbacké Faye; Kavitha Viswanathan; Kathryn Patricia O'Neill; Agbessi Amouzou; Bob S Pond; Ties Boerma Journal: BMJ Glob Health Date: 2019-09-29