LSTM Home > LSTM Research > LSTM Online Archive

“Every Newborn-BIRTH” protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania

Day, Louise T, Ruysen, Harriet, Gordeev, Vladimir S, Gore-Langston, Georgia R, Boggs, Dorothy, Cousens, Simon, Moxon, Sarah, Blencowe, Hannah, Baschieri, Angela, Rahman, Qazi Sadeq-ur, Tahsina, Tazeen, Bin Zaman, Sojib, Hossain, Tanvir, Rahman, Qazi Sadeq-ur, Ameen, Shafiqul, El Arifeen, Shams, Ashish, KC, Shrestha, Shree Krishna, Naresh, KCP, Singh, Dela, Jha, Anjani Kumar, Jha, Bijay, Rana, Nisha, Basnet, Omkar, Joshi, Elisha, Paudel, Asmita, Shrestha, Parashu Ram, Jha, Deepak, Bastola, Ram Chandra, Ghimire, Jagat Jeevan, Paudel, Rajendra, Salim, Nahya, Shamba, Donat, Manji, Karim, Shabani, Josephine, Shirima, Kizito, Mkopi, Namala, Mrisho, Mwifadhi, Manzi, Fatuma, Jaribu, Jennie, Kija, Edward, Assenga, Evelyne, Kisenge, Rodrick, Pembe, Andrea, Hanson, Claudia, Mbaruku, Godfrey, Masanja, Honorati, Amouzou, Agbessi, Azim, Tariq, Jackson, Debra, Kabuteni, Theopista John, Mathai, Matthews ORCID: https://orcid.org/0000-0002-7352-9330, Monet, Jean-Pierre, Moran, Allisyn, Ram, Pavani, Rawlins, Barbara, Saebo, Johan Ivar, Florina, Serbanescu, Vaz, Lara, Zaka, Nabila and Lawn, Joy E (2019) '“Every Newborn-BIRTH” protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania'. Journal of Global Health, Vol 9, Issue 1.

[img]
Preview
Text
jogh-09-010902 Every Newborn-BIRTH protocol.pdf - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Background To achieve Sustainable Development Goals and Universal Health Coverage, programmatic data are essential. The Every Newborn Action Plan, agreed by all United Nations member states and >80 development partners, includes an ambitious Measurement Improvement Roadmap. Quality of care at birth is prioritised by both Every Newborn and Ending Preventable Maternal Mortality strategies, hence metrics need to advance from health service contact alone, to content of care. As facility births increase, monitoring using routine facility data in DHIS2 has potential, yet validation research has mainly focussed on maternal recall surveys. The Every Newborn – Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study aims to validate selected newborn and maternal
indicators for routine tracking of coverage and quality of facility-based care for use at district, national and global levels.
Methods EN-BIRTH is an observational study including >20000 facility births in three countries (Tanzania, Bangladesh and Nepal) to validate selected indicators. Direct clinical observation will be
compared with facility register data and a pre-discharge maternal recall survey for indicators including: uterotonic administration, immediate newborn care, neonatal resuscitation and Kangaroo
mother care. Indicators including neonatal infection management and antenatal corticosteroid administration, which cannot be easily observed, will be validated using inpatient records. Trained clinical observers in Labour/Delivery ward, Operation theatre, and Kangaroo mother care ward/areas will collect data using a tablet-based customised data capturing application. Sensitivity will be
calculated for numerators of all indicators and specificity for those numerators with adequate information. Other objectives include comparison of denominator options (ie, true target population or surrogates) and quality of care analyses, especially regarding intervention timing. Barriers and enablers to routine recording and data usage will be assessed by data flow assessments, quantitative
and qualitative analyses.
Conclusions To our knowledge, this is the first large, multi-country study validating facility-based routine data compared to direct observation for maternal and newborn care, designed to provide evidence to inform selection of a core list of indicators recommended for inclusion in national DHIS2. Availability and use of such data are fundamental to drive progress towards ending the annual 5.5
million preventable stillbirths, maternal and newborn deaths.

Item Type: Article
Subjects: WP Gynecology > WP 100 General works
WP Gynecology > WP 20 Research (General)
WQ Obstetrics > WQ 100 General works
WQ Obstetrics > WQ 20 Research (General)
WQ Obstetrics > Pregnancy > WQ 200 General works
WQ Obstetrics > Pregnancy Complications > WQ 240 Pregnancy complications (General)
WS Pediatrics > By Age Groups > WS 420 Newborn infants. Neonatology
WS Pediatrics > By Age Groups > WS 421 Diseases of newborn infants
Faculty: Department: Clinical Sciences & International Health > International Public Health Department
Digital Object Identifer (DOI): https://doi.org/10.7189/jogh.09.010902
Depositing User: Stacy Murtagh
Date Deposited: 18 Mar 2019 16:25
Last Modified: 03 Sep 2021 13:24
URI: https://archive.lstmed.ac.uk/id/eprint/10424

Statistics

View details

Actions (login required)

Edit Item Edit Item