Antoinette Bhattacharya
Biographic Data
| ID | 9003055 |
|---|---|
| NAME | Antoinette Bhattacharya |
| GIVEN NAMES | Antoinette |
| FAMILY NAME | Bhattacharya |
| SIGNATURE | BHATTACHARYA A |
| AFFILIATIONS | London School of Hygiene & Tropical Medicine |
| ORCID | 0000-0001-5400-9383 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
To call or not to call
BACKGROUND: To institutionalise respectful maternity care, frequent data on the experience of childbirth care is needed by health facility staff and managers. Telephone interviews have been proposed as a low-cost alternative to derive timely and actionable maternal self-reports of experience of care. However, evidence on the validity of telephone interviews for this purpose is limited. METHODS: Eight indicators of positive maternity care experien…
Operationalising effective coverage measurement of facility based childbirth in Gombe State; a comparison of data sources
Estimating effective coverage of childbirth care requires linking population based data sources to health facility data. For effective coverage to gain widespread adoption there is a need to focus on the feasibility of constructing these measures using data typically available to decision makers in low resource settings. We estimated effective coverage of childbirth care in Gombe State, northeast Nigeria, using two different combinations of facil…
Routine health management information system data in Ethiopia
Background: Ethiopia is investing in the routine Health Management Information System. Improved routine data are needed for decision-making in the health sector.Objective: To analyse the quality of the routine Health Management Information System data and triangulate with other sources, such as the Demographic and Health Surveys.Methods: We analysed national Health Management Information System data on 19 indicators of maternal health, neonatal s…
Monitoring childbirth care in primary health facilities
BACKGROUND: Improving the quality of facility-based births is a critical strategy for reducing the high burden of maternal and neonatal mortality and morbidity across all settings. Accurate data on childbirth care is essential for monitoring progress. In northeastern Nigeria, we assessed the validity of childbirth care indicators in a rural primary health care context, as documented by health workers and reported by women at different recall peri…
No prominent works on this page.
Monitoring childbirth care in primary health facilities
BACKGROUND: Improving the quality of facility-based births is a critical strategy for reducing the high burden of maternal and neonatal mortality and morbidity across all settings. Accurate data on childbirth care is essential for monitoring progress. In northeastern Nigeria, we assessed the validity of childbirth care indicators in a rural primary health care context, as documented by health workers and reported by women at different recall peri…
Routine health management information system data in Ethiopia
Background: Ethiopia is investing in the routine Health Management Information System. Improved routine data are needed for decision-making in the health sector.Objective: To analyse the quality of the routine Health Management Information System data and triangulate with other sources, such as the Demographic and Health Surveys.Methods: We analysed national Health Management Information System data on 19 indicators of maternal health, neonatal s…
To call or not to call
BACKGROUND: To institutionalise respectful maternity care, frequent data on the experience of childbirth care is needed by health facility staff and managers. Telephone interviews have been proposed as a low-cost alternative to derive timely and actionable maternal self-reports of experience of care. However, evidence on the validity of telephone interviews for this purpose is limited. METHODS: Eight indicators of positive maternity care experien…
Operationalising effective coverage measurement of facility based childbirth in Gombe State; a comparison of data sources
Estimating effective coverage of childbirth care requires linking population based data sources to health facility data. For effective coverage to gain widespread adoption there is a need to focus on the feasibility of constructing these measures using data typically available to decision makers in low resource settings. We estimated effective coverage of childbirth care in Gombe State, northeast Nigeria, using two different combinations of facil…
Medicine (4 works) · Childbirth (3 works) · Environmental health (3 works) · Global Maternal and Child Health (3 works) · Health care (3 works) · Nursing (3 works) · Computer Science (2 works) · Family medicine (2 works) · Geography (2 works) · Health facility (2 works)