Ousman Mouhamadou
Biographic Data
| ID | 9021121 |
|---|---|
| NAME | Ousman Mouhamadou |
| GIVEN NAMES | Ousman |
| FAMILY NAME | Mouhamadou |
| SIGNATURE | MOUHAMADOU O |
| AFFILIATIONS | University of Bangui |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Stillbirth and newborn data quality and use and related input and process factors
Background: High quality data is mandatory when shaping action-oriented policies aimed at reducing preventable neonatal deaths. Ethiopia has a high a neonatal mortality rate, but there has been limited assessment of the quality and use of newborn data, and its contributing factors. Methods: We conducted a cross-sectional study in Ethiopia from November 2022 to September 2023 in 35 sites: 24 facilities, 10 subnational data offices, and the Ministr…
Stillbirth and newborn data quality and use and related input and process factors
Background: The reduction of preventable newborn deaths in low- and middle-income countries is a global priority. The availability of high-quality newborn and stillbirth data is essential for shaping action-oriented policies and interventions towards resolving these challenges. Using a mixed-methods approach, we evaluated the input and process factors hindering data quality and use in Uganda. Methods: We conducted a cross-sectional study from Nov…
Facility newborn and stillbirth data use and enabling factors at different levels of the health system
Background: Improving data quality and use is a priority identified by the World Health Organization (WHO) to reduce stillbirths and newborn deaths; however, few studies have documented newborn and stillbirth data use in the African Region. To address this gap, we conducted a cross-sectional study from November 2022 to July 2024 in 12 regions and four city administrations across the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. …
Users’ capabilities related to the electronic RHIS for newborn and stillbirth indicators
Background: The electronic routine health information system (eRHIS) is crucial for policy and planning. However, its effectiveness depends on end-users' capabilities in utilising it. Using a mixed-methods approach, we evaluated end-users' data in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda in one of the first standardised cross-country assessment of eRHIS users' capabilities focussed on newborn and stillbirth indicators. M…
Functionalities of electronic routine health information systems related to newborn data
Background: Adequate functionality of electronic routine health information systems (eRHISs) is crucial for data use, yet few studies explored it in relation to newborn and stillbirth data in Africa. Methods: We conducted this cross-sectional study between November 2022 and July 2024 in data offices at central and subnational levels in 12 regions and 4 city administrations in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. Exc…
Organisational and management factors and related end-users’ perspectives relevant to newborn and stillbirth data at different levels of the health system
Background: As few studies systematically analysed organisational and management factors related to newborn and stillbirth data quality, we sought to identify specific gaps in these factors to provide evidence for planning tailored actions. Methods: We performed a cross-sectional survey in 12 regions and 4 city administrations in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda between November 2022 and July 2024, collecting dat…
Availability and the quality of key newborn data within routine health facility data
Background: With declining funding for population-based household surveys, routine health facility data offer a promising alternative for tracking newborn health and service quality. However, their utility depends on data quality. We assessed the quality of ten data elements within routine health information systems in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda, seven of which align with the Every Newborn Action Plan core …
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Facility newborn and stillbirth data use and enabling factors at different levels of the health system
Background: Improving data quality and use is a priority identified by the World Health Organization (WHO) to reduce stillbirths and newborn deaths; however, few studies have documented newborn and stillbirth data use in the African Region. To address this gap, we conducted a cross-sectional study from November 2022 to July 2024 in 12 regions and four city administrations across the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. …
Users’ capabilities related to the electronic RHIS for newborn and stillbirth indicators
Background: The electronic routine health information system (eRHIS) is crucial for policy and planning. However, its effectiveness depends on end-users' capabilities in utilising it. Using a mixed-methods approach, we evaluated end-users' data in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda in one of the first standardised cross-country assessment of eRHIS users' capabilities focussed on newborn and stillbirth indicators. M…
Functionalities of electronic routine health information systems related to newborn data
Background: Adequate functionality of electronic routine health information systems (eRHISs) is crucial for data use, yet few studies explored it in relation to newborn and stillbirth data in Africa. Methods: We conducted this cross-sectional study between November 2022 and July 2024 in data offices at central and subnational levels in 12 regions and 4 city administrations in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. Exc…
Organisational and management factors and related end-users’ perspectives relevant to newborn and stillbirth data at different levels of the health system
Background: As few studies systematically analysed organisational and management factors related to newborn and stillbirth data quality, we sought to identify specific gaps in these factors to provide evidence for planning tailored actions. Methods: We performed a cross-sectional survey in 12 regions and 4 city administrations in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda between November 2022 and July 2024, collecting dat…
Availability and the quality of key newborn data within routine health facility data
Background: With declining funding for population-based household surveys, routine health facility data offer a promising alternative for tracking newborn health and service quality. However, their utility depends on data quality. We assessed the quality of ten data elements within routine health information systems in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda, seven of which align with the Every Newborn Action Plan core …
Stillbirth and newborn data quality and use and related input and process factors
Background: High quality data is mandatory when shaping action-oriented policies aimed at reducing preventable neonatal deaths. Ethiopia has a high a neonatal mortality rate, but there has been limited assessment of the quality and use of newborn data, and its contributing factors. Methods: We conducted a cross-sectional study in Ethiopia from November 2022 to September 2023 in 35 sites: 24 facilities, 10 subnational data offices, and the Ministr…
Stillbirth and newborn data quality and use and related input and process factors
Background: The reduction of preventable newborn deaths in low- and middle-income countries is a global priority. The availability of high-quality newborn and stillbirth data is essential for shaping action-oriented policies and interventions towards resolving these challenges. Using a mixed-methods approach, we evaluated the input and process factors hindering data quality and use in Uganda. Methods: We conducted a cross-sectional study from Nov…
Global Maternal and Child Health (7 works) · Maternal and Neonatal Healthcare (4 works) · Data quality (3 works) · Health care (3 works) · MEDLINE (3 works) · Pregnancy (3 works) · Psychological intervention (3 works) · Data collection (2 works) · Electronic Health Records Systems (2 works) · Health facility (2 works)