Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey
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 heal...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2020-12-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-020-01357-x |
| _version_ | 1818448237611188224 |
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| author | Georges Nguefack-Tsague Brian Bongwong Tamfon Ismael Ngnie-Teta Marie Nicole Ngoufack Basile Keugoung Serge Marcial Bataliack Chanceline Bilounga Ndongo |
| author_facet | Georges Nguefack-Tsague Brian Bongwong Tamfon Ismael Ngnie-Teta Marie Nicole Ngoufack Basile Keugoung Serge Marcial Bataliack Chanceline Bilounga Ndongo |
| author_sort | Georges Nguefack-Tsague |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T20:16:19Z |
| format | Article |
| id | doaj.art-da113e58e77e425b9e1efd0eddbee361 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-12-14T20:16:19Z |
| publishDate | 2020-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-da113e58e77e425b9e1efd0eddbee3612022-12-21T22:48:50ZengBMCBMC Medical Informatics and Decision Making1472-69472020-12-012011810.1186/s12911-020-01357-xFactors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional surveyGeorges Nguefack-Tsague0Brian Bongwong Tamfon1Ismael Ngnie-Teta2Marie Nicole Ngoufack3Basile Keugoung4Serge Marcial Bataliack5Chanceline Bilounga Ndongo6Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1Helen Keller InternationalChallenges Initiative SolutionsUNICEFWorld Health OrganisationDepartment of Disease Control, Epidemics and Pandemics, Ministry of Public HealthAbstract 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.https://doi.org/10.1186/s12911-020-01357-xRoutine health information systemAssociated factorsMedical informaticsMedical informatics applicationsHealth informatics |
| spellingShingle | Georges Nguefack-Tsague Brian Bongwong Tamfon Ismael Ngnie-Teta Marie Nicole Ngoufack Basile Keugoung Serge Marcial Bataliack Chanceline Bilounga Ndongo Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey BMC Medical Informatics and Decision Making Routine health information system Associated factors Medical informatics Medical informatics applications Health informatics |
| title | Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey |
| title_full | Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey |
| title_fullStr | Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey |
| title_full_unstemmed | Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey |
| title_short | Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey |
| title_sort | factors associated with the performance of routine health information system in yaounde cameroon a cross sectional survey |
| topic | Routine health information system Associated factors Medical informatics Medical informatics applications Health informatics |
| url | https://doi.org/10.1186/s12911-020-01357-x |
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