Innovative Tools and Strategies | Health Systems and Workforce | Targets and Metrics | Strengthening Quality of Care | Focus: Small and Sick Newborns | Focus: Private Sector Room: 1.61-1.62 Oral Abstracts
May 11, 2023 11:50 - 13:05(Africa/Johannesburg)
20230511T1150 20230511T1305 Africa/Johannesburg Innovations to Improve Maternal and Newborn Health (MNH) Data for Decision-Making

Strengthening Maternal and Perinatal Death Surveillance and Response Data Use at Kawempe National Referral Hospital, Kampala, Uganda

In 2012, the Uganda Ministry of Health (MOH) adopted Maternal and Perinatal Death Surveillance and Response (MPDSR), an essential quality improvement intervention to identify, notify, quantify, and determine the causes of maternal deaths, stillbirths, and early neonatal deaths to prevent future mortality. Since 2020, the U.S. Agency for International Development (USAID) Maternal Child Health and Nutrition (MCHN) Activity has supported functionalization of MPDSR at the national level and in Kampala district, including Kawempe National Referral Hospital (KNRH).

Mothers' and Caregivers' Perceived Acceptability of a Digital Data Capture and Clinical Decision Support Intervention (Neotree) in Neonatal Intensive Care Units in Two Low-Resource Settings 

Neotree is a digital intervention that aims to improve quality of newborn care in low-resource settings by supporting health care professionals (HCPs) to complete an electronic health care record (EHR) for every admitted baby, conduct standardised clinical assessments, and adhere to evidence-based clinical guidelines in the diagnosis and management of neonates. Few digital interventions co-developed with HCPs in low-resource settings have been evaluated from the patient/caregiver perspective. Yet this is critical to ensure that care is patient centred. Our aim was to assess the acceptability of Neotree from the perspective of mothers and caregivers of neonates (end beneficiaries) admitted to three neonatal intensive care units (NICUs) in Malawi and Zimbabwe.

Data-Driven Decision-Making: Enabling District Health Management to Strengthen Maternal, Newborn, a ...

Room: 1.61-1.62 International Maternal Newborn Health Conference 2023 information@imnhc.org
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Strengthening Maternal and Perinatal Death Surveillance and Response Data Use at Kawempe National Referral Hospital, Kampala, Uganda

In 2012, the Uganda Ministry of Health (MOH) adopted Maternal and Perinatal Death Surveillance and Response (MPDSR), an essential quality improvement intervention to identify, notify, quantify, and determine the causes of maternal deaths, stillbirths, and early neonatal deaths to prevent future mortality. Since 2020, the U.S. Agency for International Development (USAID) Maternal Child Health and Nutrition (MCHN) Activity has supported functionalization of MPDSR at the national level and in Kampala district, including Kawempe National Referral Hospital (KNRH).


Mothers' and Caregivers' Perceived Acceptability of a Digital Data Capture and Clinical Decision Support Intervention (Neotree) in Neonatal Intensive Care Units in Two Low-Resource Settings 

Neotree is a digital intervention that aims to improve quality of newborn care in low-resource settings by supporting health care professionals (HCPs) to complete an electronic health care record (EHR) for every admitted baby, conduct standardised clinical assessments, and adhere to evidence-based clinical guidelines in the diagnosis and management of neonates. Few digital interventions co-developed with HCPs in low-resource settings have been evaluated from the patient/caregiver perspective. Yet this is critical to ensure that care is patient centred. Our aim was to assess the acceptability of Neotree from the perspective of mothers and caregivers of neonates (end beneficiaries) admitted to three neonatal intensive care units (NICUs) in Malawi and Zimbabwe.


Data-Driven Decision-Making: Enabling District Health Management to Strengthen Maternal, Newborn, and Child Health Services 

Use of local data for health system planning and decision-making in maternal, newborn, and child health (MNCH) services is limited in lower- and middle-income countries, despite advances in data gathering. Among health stakeholders there is an underdeveloped culture of data sharing and collaborative planning. Yet while service delivery processes are a trend of health system research, scant attention is paid to health system management research, despite this being the key to effective MNCH services. The Data-Informed Platform for Health (DIPH) is a health system strengthening intervention that promotes structured decision-making by health administrators and managers using local data. DIPH entails quality decision-making: (a) defining problems using a health system framework, (b) reviewing data, (c) considering alternative options, (d) value-based prioritisation, and (e) a consultative process to develop, commit to, and follow up on action plans. Central to DIPH is a package of job aids and guidelines providing tools and knowledge for structured decision-making using available data. DIPH's strategy was conceptualised, developed, and tested over 10 years.


Leveraging Geospatial Intelligence/Evidence to Inform Maternal and Newborn Health Care (MNHC) Infrastructure Investment 

Like other resource-constrained settings, Zambia is characterized by high maternal and infant mortality rates. This is in spite of recent progress made towards reducing mortality rates, from 398 per 100,000 live births in 2014 to 278 per 100,000 live births in 2018. The major factors contributing to high maternal and infant mortality rates (MMR) in Zambia are associated with the three delays in accessing health services: the delay in deciding to seek care, the delay in accessing health facilities, and the delay in accessing the services of a skilled health worker. Within the context of the three delays, the choice of facility location is critical. However, identifying and prioritizing the precise location with the greatest potential of increasing access to maternal services is in practice not a straightforward process, more so in resource-constrained settings where the need for infrastructure is pervasive. A baseline study conducted in Eastern and Southern provinces of Zambia established that 72% of eligible facilities in Eastern and 65% in Southern had no capacity to support maternal services. However, estimates of the investment outlay required to close the capacity gap was $41.8 million.

Strengthening Maternal and Perinatal Death Surveillance and Response Data Use at Kawempe National Referral Hospital, Kampala, Uganda
Single Abstract 11:50 AM - 01:05 PM (Africa/Johannesburg) 2023/05/11 09:50:00 UTC - 2023/05/11 11:05:00 UTC
Small and Sick Newborns (SSNB)
Targets and Metrics
Presenters Nathan Lubowa
Monitoring,Evaluation And Learning Advisor, FHI 360 Uganda Country Office, Plot 15 Kitante Close-Kampala,
Co-authors
PW
Patrick Walugembe
MCHN Monitoring, Evaluation And Learning Director, FHI 360
ST
Sharon Tsui
Senior Technical Advisor, FHI 360
NT
Nathan Tumwesigye
Dr, FHI 360
Mothers' and Caregivers' Perceived Acceptability of a Digital Data Capture and Clinical Decision Support Intervention (Neotree) in Neonatal Intensive Care Units in Two Low-Resource Settings
Single Abstract 11:50 AM - 01:05 PM (Africa/Johannesburg) 2023/05/11 09:50:00 UTC - 2023/05/11 11:05:00 UTC
Small and Sick Newborns (SSNB), Private Sector
Innovative Tools and Strategies
Strengthening Quality of Care
Presenters Albert Dube
Researcher, Malawi Epidemiology And Intervention Research Unit (MEIRU)
Co-authors
EW
Emma Wilson
Postdoc Researcher, Institute Of Child Health, UCL
FL
Fabiana Lorencatto
Research Lead, University College London
TC
Tarisai Chiyaka
Project Manager, BRTI
DN
Deliwe Nkhoma
Data Lead And Project Manager, Global Health Informatics Institute
TH
Tim Hull-Bailey
Neotree Global Project Manager, Neotree Charity
Msandeni Chiume
Principle Investigator, NEST360, Kamuzu University Of Health Sciences (KUHS)
SC
Simbarashe Chimhuya
Lecturer, University Of Zimbabwe
KC
Kristina Curtis
Lecturer, University College London
Data-Driven Decision-Making: Enabling District Health Management to Strengthen Maternal, Newborn, and Child Health Services
Single Abstract 11:50 AM - 01:05 PM (Africa/Johannesburg) 2023/05/11 09:50:00 UTC - 2023/05/11 11:05:00 UTC
None
Innovative Tools and Strategies
Health Systems and Workforce
Presenters
BI
Bilal Iqbal
Associate Professor, London School Of Hygiene And Tropical Medicine, UK
Co-authors
GT
Girum Taye
Lead Researcher, Ethiopian Public Health Institute
MD
Mehret Dubale
Research Fellow, The London School Of Hygiene & Tropical Medicine (LSHTM)
JS
Joanna Schellenberg
Professor, The London School Of Hygiene & Tropical Medicine (LSHTM)
Leveraging Geospatial Intelligence/Evidence to Inform Maternal and Newborn Health Care (MNHC) Infrastructure Investment
Single Abstract 11:50 AM - 01:05 PM (Africa/Johannesburg) 2023/05/11 09:50:00 UTC - 2023/05/11 11:05:00 UTC
Innovative Tools and Strategies
Targets and Metrics
Presenters Emmanuel Katyoka
Associate - Infrastructure Officer, Clinton Health Access Initiative
Co-authors
RZ
Rabson Zimba
Program Manager - Health System Strengthening, Clinton Health Access Initiative (CHAI)
OA
Olatubosun Akinola
Associate Director, Universal Health Coverage, Clinton Health Access Initiative
JW
Jason Wamulume
Assistant Director - Infrastructure And Medical Technologies, Ministry Of Health
Associate - Infrastructure Officer
,
Clinton Health Access Initiative
Associate Professor
,
London School of Hygiene and Tropical Medicine, UK
Researcher
,
Malawi Epidemiology and Intervention Research Unit (MEIRU)
Monitoring,Evaluation and Learning Advisor
,
FHI 360 Uganda Country office, Plot 15 Kitante Close-Kampala,
 Debra Jackson
Professor & Takeda Chair in Global Child Health
,
London School of Hygiene and Tropical Medicine
Dr. Akuze Joseph Waiswa
WHO UGANDA - Strategic Information
,
London School of Hygiene & Tropical Medicine and Makerere University School of Public Health
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Strengthening Maternal and Perinatal Death Surv...
IMNHC_1690922982IMNHC_1684532085404_nathan_lubowa.pdf View Submitted by Nathan Lubowa 3
Leveraging Geospatial Intelligence/Evidence to ...
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Mothers' and Caregivers' Perceived Acceptabilit...
IMNHC_1684532129albert_dube.pptx View Submitted by Michelle Heys 1
Data-Driven Decision-Making: Enabling District ...
IMNHC_1684532166imnhc-_11_may2023-final-e.pptx View Submitted by Bilal Iqbal 3
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