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 > 20 000 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.
| Original language | English (US) |
|---|---|
| Article number | 010902 |
| Journal | Journal of global health |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2019 |
Fingerprint
ASJC Scopus subject areas
- Health Policy
- Public Health, Environmental and Occupational Health
Cite this
"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-Langton, Georgia R.; Boggs, Dorothy; Cousens, Simon; Moxon, Sarah G.; Blencowe, Hannah; Baschieri, Angela; Rahman, Ahmed Ehsanur; Tahsina, Tazeen; Zaman, Sojib Bin; Hossain, Tanvir; Rahman, Qazi Sadeq Ur; Ameen, Shafiqul; Arifeen, Shams El; Ashish, K. C.; Shrestha, Shree Krishna; Naresh, P. K.C.; 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; Monet, Jean Pierre; Moran, Allisyn; Ram, Pavani; Rawlins, Barbara; Sæbø, Johan Ivar; Serbanescu, Florina; Vaz, Lara; Zaka, Nabila; Lawn, Joy E.
In: Journal of global health, Vol. 9, No. 1, 010902, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - "Every Newborn-BIRTH" protocol
T2 - Observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania
AU - Day, Louise T.
AU - Ruysen, Harriet
AU - Gordeev, Vladimir S.
AU - Gore-Langton, Georgia R.
AU - Boggs, Dorothy
AU - Cousens, Simon
AU - Moxon, Sarah G.
AU - Blencowe, Hannah
AU - Baschieri, Angela
AU - Rahman, Ahmed Ehsanur
AU - Tahsina, Tazeen
AU - Zaman, Sojib Bin
AU - Hossain, Tanvir
AU - Rahman, Qazi Sadeq Ur
AU - Ameen, Shafiqul
AU - Arifeen, Shams El
AU - Ashish, K. C.
AU - Shrestha, Shree Krishna
AU - Naresh, P. K.C.
AU - Singh, Dela
AU - Jha, Anjani Kumar
AU - Jha, Bijay
AU - Rana, Nisha
AU - Basnet, Omkar
AU - Joshi, Elisha
AU - Paudel, Asmita
AU - Shrestha, Parashu Ram
AU - Jha, Deepak
AU - Bastola, Ram Chandra
AU - Ghimire, Jagat Jeevan
AU - Paudel, Rajendra
AU - Salim, Nahya
AU - Shamba, Donat
AU - Manji, Karim
AU - Shabani, Josephine
AU - Shirima, Kizito
AU - Mkopi, Namala
AU - Mrisho, Mwifadhi
AU - Manzi, Fatuma
AU - Jaribu, Jennie
AU - Kija, Edward
AU - Assenga, Evelyne
AU - Kisenge, Rodrick
AU - Pembe, Andrea
AU - Hanson, Claudia
AU - Mbaruku, Godfrey
AU - Masanja, Honorati
AU - Amouzou, Agbessi
AU - Azim, Tariq
AU - Jackson, Debra
AU - Kabuteni, Theopista John
AU - Mathai, Matthews
AU - Monet, Jean Pierre
AU - Moran, Allisyn
AU - Ram, Pavani
AU - Rawlins, Barbara
AU - Sæbø, Johan Ivar
AU - Serbanescu, Florina
AU - Vaz, Lara
AU - Zaka, Nabila
AU - Lawn, Joy E.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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 > 20 000 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.
AB - 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 > 20 000 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.
UR - http://www.scopus.com/inward/record.url?scp=85062859088&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062859088&partnerID=8YFLogxK
U2 - 10.7189/jogh.09.010902
DO - 10.7189/jogh.09.010902
M3 - Article
C2 - 30863542
AN - SCOPUS:85062859088
VL - 9
JO - Journal of Global Health
JF - Journal of Global Health
SN - 2047-2978
IS - 1
M1 - 010902
ER -