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

Louise T. Day, Harriet Ruysen, Vladimir S. Gordeev, Georgia R. Gore-Langton, Dorothy Boggs, Simon Cousens, Sarah G. Moxon, Hannah Blencowe, Angela Baschieri, Ahmed Ehsanur Rahman, Tazeen Tahsina, Sojib Bin Zaman, Tanvir Hossain, Qazi Sadeq Ur Rahman, Shafiqul Ameen, Shams El Arifeen, K. C. Ashish, Shree Krishna Shrestha, P. K.C. Naresh, Dela SinghAnjani Kumar Jha, Bijay Jha, Nisha Rana, Omkar Basnet, Elisha Joshi, Asmita Paudel, Parashu Ram Shrestha, Deepak Jha, Ram Chandra Bastola, Jagat Jeevan Ghimire, Rajendra Paudel, Nahya Salim, Donat Shamba, Karim Manji, Josephine Shabani, Kizito Shirima, Namala Mkopi, Mwifadhi Mrisho, Fatuma Manzi, Jennie Jaribu, Edward Kija, Evelyne Assenga, Rodrick Kisenge, Andrea Pembe, Claudia Hanson, Godfrey Mbaruku, Honorati Masanja, Agbessi Amouzou, Tariq Azim, Debra Jackson, Theopista John Kabuteni, Matthews Mathai, Jean Pierre Monet, Allisyn Moran, Pavani Ram, Barbara Rawlins, Johan Ivar Sæbø, Florina Serbanescu, Lara Vaz, Nabila Zaka, Joy E. Lawn

Research output: Contribution to journalArticle

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 languageEnglish (US)
Article number010902
JournalJournal of global health
Volume9
Issue number1
DOIs
StatePublished - Jan 1 2019

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Nepal
Bangladesh
Tanzania
Observational Studies
Newborn Infant
Delivery of Health Care
Parturition
Kangaroo-Mother Care Method
Mothers
Quality of Health Care
Research
Observation
Universal Coverage
Maternal Death
Stillbirth
Maternal Health
Infant Health
United Nations
Maternal Mortality
Health Services Needs and Demand

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 journalArticle

Day, LT, Ruysen, H, Gordeev, VS, Gore-Langton, GR, Boggs, D, Cousens, S, Moxon, SG, Blencowe, H, Baschieri, A, Rahman, AE, Tahsina, T, Zaman, SB, Hossain, T, Rahman, QSU, Ameen, S, Arifeen, SE, Ashish, KC, Shrestha, SK, Naresh, PKC, Singh, D, Jha, AK, Jha, B, Rana, N, Basnet, O, Joshi, E, Paudel, A, Shrestha, PR, Jha, D, Bastola, RC, Ghimire, JJ, Paudel, R, Salim, N, Shamba, D, Manji, K, Shabani, J, Shirima, K, Mkopi, N, Mrisho, M, Manzi, F, Jaribu, J, Kija, E, Assenga, E, Kisenge, R, Pembe, A, Hanson, C, Mbaruku, G, Masanja, H, Amouzou, A, Azim, T, Jackson, D, Kabuteni, TJ, Mathai, M, Monet, JP, Moran, A, Ram, P, Rawlins, B, Sæbø, JI, Serbanescu, F, Vaz, L, Zaka, N & Lawn, JE 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, no. 1, 010902. https://doi.org/10.7189/jogh.09.010902
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. / "Every Newborn-BIRTH" protocol : Observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania. In: Journal of global health. 2019 ; Vol. 9, No. 1.
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title = "{"}Every Newborn-BIRTH{"} protocol: Observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania",
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.",
author = "Day, {Louise T.} and Harriet Ruysen and Gordeev, {Vladimir S.} and Gore-Langton, {Georgia R.} and Dorothy Boggs and Simon Cousens and Moxon, {Sarah G.} and Hannah Blencowe and Angela Baschieri and Rahman, {Ahmed Ehsanur} and Tazeen Tahsina and Zaman, {Sojib Bin} and Tanvir Hossain and Rahman, {Qazi Sadeq Ur} and Shafiqul Ameen and Arifeen, {Shams El} and Ashish, {K. C.} and Shrestha, {Shree Krishna} and Naresh, {P. K.C.} and Dela Singh and Jha, {Anjani Kumar} and Bijay Jha and Nisha Rana and Omkar Basnet and Elisha Joshi and Asmita Paudel and Shrestha, {Parashu Ram} and Deepak Jha and Bastola, {Ram Chandra} and Ghimire, {Jagat Jeevan} and Rajendra Paudel and Nahya Salim and Donat Shamba and Karim Manji and Josephine Shabani and Kizito Shirima and Namala Mkopi and Mwifadhi Mrisho and Fatuma Manzi and Jennie Jaribu and Edward Kija and Evelyne Assenga and Rodrick Kisenge and Andrea Pembe and Claudia Hanson and Godfrey Mbaruku and Honorati Masanja and Agbessi Amouzou and Tariq Azim and Debra Jackson and Kabuteni, {Theopista John} and Matthews Mathai and Monet, {Jean Pierre} and Allisyn Moran and Pavani Ram and Barbara Rawlins and S{\ae}b{\o}, {Johan Ivar} and Florina Serbanescu and Lara Vaz and Nabila Zaka and Lawn, {Joy E.}",
year = "2019",
month = "1",
day = "1",
doi = "10.7189/jogh.09.010902",
language = "English (US)",
volume = "9",
journal = "Journal of Global Health",
issn = "2047-2978",
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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.

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