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      The NeoRoo mobile app: Initial design and prototyping of an Android-based digital health tool to support Kangaroo Mother Care in low/middle-income countries (LMICs)

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          Abstract

          Premature birth and neonatal mortality are significant global health challenges, with 15 million premature births annually and an estimated 2.5 million neonatal deaths. Approximately 90% of preterm births occur in low/middle income countries, particularly within the global regions of sub-Saharan Africa and South Asia. Neonatal hypothermia is a common and significant cause of morbidity and mortality among premature and low birth weight infants, particularly in low/middle-income countries where rates of premature delivery are high, and access to health workers, medical commodities, and other resources is limited. Kangaroo Mother Care/Skin-to-Skin care has been shown to significantly reduce the incidence of neonatal hypothermia and improve survival rates among premature infants, but there are significant barriers to its implementation, especially in low/middle-income countries (LMICs). The paper proposes the use of a multidisciplinary approach to develop an integrated mHealth solution to overcome the barriers and challenges to the implementation of Kangaroo Mother Care/Skin-to-skin care (KMC/STS) in LMICs. The innovation is an integrated mHealth platform that features a wearable biomedical device (NeoWarm) and an Android-based mobile application (NeoRoo) with customized user interfaces that are targeted specifically to parents/family stakeholders and healthcare providers, respectively. This publication describes the iterative, human-centered design and participatory development of a high-fidelity prototype of the NeoRoo mobile application. The aim of this study was to design and develop an initial (“A”) version of the Android-based NeoRoo mobile app specifically to support the use case of KMC/STS in health facilities in Kenya. Key functions and features are highlighted. The proposed solution leverages the promise of digital health to overcome identified barriers and challenges to the implementation of KMC/STS in LMICs and aims to equip parents and healthcare providers of prematurely born infants with the tools and resources needed to improve the care provided to premature and low birthweight babies. It is hoped that, when implemented and scaled as part of a thoughtful, strategic, cross-disciplinary approach to reduction of global rates of neonatal mortality, NeoRoo will prove to be a useful tool within the toolkit of parents, health workers, and program implementors.

          Author summary

          We aim to leverage the promise of digital health to overcome barriers and challenges to neonatal care, particularly thermal care, vital signs monitoring, and Kangaroo Mother Care/Skin-to-skin care (KMC/STS), in low/middle-income countries. Our multidisciplinary team has developed an integrated mHealth platform, composed of a wearable biomedical device called NeoWarm, which is a self-warming swaddling pouch plus baby carrier with sensors for automated vital signs monitoring, combined with a mobile app called NeoRoo. NeoRoo is a permission-based app with two user interfaces, customized for parents/family stakeholders and healthcare providers of premature and low birthweight babies. The app provides information, support, and resources designed to equip and empower adult stakeholders of prematurely born babies to more effectively adopt and implement KMC/STS, an evidence-based neonatal intervention that has been shown to significantly reduce the incidence of neonatal hypothermia and improve survival among premature infants. Using a human-centered and participatory design approach, we performed iterative development efforts for the open-source NeoRoo app from August 2020 to February 2021. This resulted in a high-fidelity prototype with features and functions for automated vital signs monitoring, communication between parents and health workers, shared goal-setting and tracking for key KMC/STS metrics, and educational resources.

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          Global burden of preterm birth

          Preterm birth is a live birth that occurs before 37 completed weeks of pregnancy. Approximately 15 million babies are born preterm annually worldwide, indicating a global preterm birth rate of about 11%. With 1 million children dying due to preterm birth before the age of 5 years, preterm birth is the leading cause of death among children, accounting for 18% of all deaths among children aged under 5 years and as much as 35% of all deaths among newborns (aged <28 days). There are significant variations in preterm birth rates and mortality between countries and within countries. However, the burden of preterm birth is particularly high in low- and middle-income countries, especially those in Southeast Asia and sub-Saharan Africa. Preterm birth rates are rising in many countries. The issue of preterm birth is of paramount significance for achieving United Nations Sustainable Development Goal 3 target #3.2, which aims to end all preventable deaths of newborns and children aged under 5 years by 2030.
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            Global, regional, and national causes of under-5 mortality in 2000–19: an updated systematic analysis with implications for the Sustainable Development Goals

            Summary Background Causes of mortality are a crucial input for health systems for identifying appropriate interventions for child survival. We present an updated series of cause-specific mortality for neonates and children younger than 5 years from 2000 to 2019. Methods We updated cause-specific mortality estimates for neonates and children aged 1–59 months, stratified by level (low, moderate, or high) of mortality. We made a substantial change in the statistical methods used for previous estimates, transitioning to a Bayesian framework that includes a structure to account for unreported causes in verbal autopsy studies. We also used systematic covariate selection in the multinomial framework, gave more weight to nationally representative verbal autopsy studies using a random effects model, and included mortality due to tuberculosis. Findings In 2019, there were 5·30 million deaths (95% uncertainty range 4·92–5·68) among children younger than 5 years, primarily due to preterm birth complications (17·7%, 16·1–19·5), lower respiratory infections (13·9%, 12·0–15·1), intrapartum-related events (11·6%, 10·6–12·5), and diarrhoea (9·1%, 7·9–9·9), with 49·2% (47·3–51·9) due to infectious causes. Vaccine-preventable deaths, such as for lower respiratory infections, meningitis, and measles, constituted 21·7% (20·4–25·6) of under-5 deaths, and many other causes, such as diarrhoea, were preventable with low-cost interventions. Under-5 mortality has declined substantially since 2000, primarily because of a decrease in mortality due to lower respiratory infections, diarrhoea, preterm birth complications, intrapartum-related events, malaria, and measles. There is considerable variation in the extent and trends in cause-specific mortality across regions and for different strata of all-cause under-5 mortality. Interpretation Progress is needed to improve child health and end preventable deaths among children younger than 5 years. Countries should strategize how to reduce mortality among this age group using interventions that are relevant to their specific causes of death. Funding Bill & Melinda Gates Foundation; WHO.
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              Implementation research: new imperatives and opportunities in global health

              Implementation research is important in global health because it addresses the challenges of the know-do gap in real-world settings and the practicalities of achieving national and global health goals. Implementation research is an integrated concept that links research and practice to accelerate the development and delivery of public health approaches. Implementation research involves the creation and application of knowledge to improve the implementation of health policies, programmes, and practices. This type of research uses multiple disciplines and methods and emphasises partnerships between community members, implementers, researchers, and policy makers. Implementation research focuses on practical approaches to improve implementation and to enhance equity, efficiency, scale-up, and sustainability, and ultimately to improve people's health. There is growing interest in the principles of implementation research and a range of perspectives on its purposes and appropriate methods. However, limited efforts have been made to systematically document and review learning from the practice of implementation research across different countries and technical areas. Drawing on an expert review process, this Health Policy paper presents purposively selected case studies to illustrate the essential characteristics of implementation research and its application in low-income and middle-income countries. The case studies are organised into four categories related to the purposes of using implementation research, including improving people's health, informing policy design and implementation, strengthening health service delivery, and empowering communities and beneficiaries. Each of the case studies addresses implementation problems, involves partnerships to co-create solutions, uses tacit knowledge and research, and is based on a shared commitment towards improving health outcomes. The case studies reveal the complex adaptive nature of health systems, emphasise the importance of understanding context, and highlight the role of multidisciplinary, rigorous, and adaptive processes that allow for course correction to ensure interventions have an impact. This Health Policy paper is part of a call to action to increase the use of implementation research in global health, build the field of implementation research inclusive of research utilisation efforts, and accelerate efforts to bridge the gap between research, policy, and practice to improve health outcomes.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Project administrationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLOS Digit Health
                PLOS Digit Health
                plos
                PLOS Digital Health
                Public Library of Science (San Francisco, CA USA )
                2767-3170
                25 October 2023
                October 2023
                : 2
                : 10
                : e0000216
                Affiliations
                [1 ] Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Indiana University School of Medicine, Indianapolis, Indiana, United States of America
                [2 ] Department of Community and Global Health, Richard M. Fairbanks School of Public Health, Indiana University–Indianapolis, Indianapolis, Indiana, United States of America
                [3 ] Scholarly Concentration in Public Health Certificate Program, Indiana University School of Medicine and Richard M. Fairbanks School of Public Health, Indiana University–Indianapolis, Indianapolis, Indiana, United States of America
                [4 ] Department of Human Centered Computing, Human-Computer Interaction, Luddy School of Informatics, Computing, and Engineering, Indiana University–Indianapolis, Indianapolis, Indiana, United States of America
                [5 ] Department of BioHealth Informatics, Data Science and Health Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University–Indianapolis, Indianapolis, Indiana, United States of America
                Iran University of Medical Sciences, IRAN (ISLAMIC REPUBLIC OF)
                Author notes

                I have read the journal’s policy and the authors of this manuscript have the following competing interests: Dr. Sherri Bucher has been awarded intellectual property protection for invention of the NeoWarm biomedical device. This includes US patent US10390630B2, Nigeria NG/PT/C/2018/2802 and ARIPO patent PT/C/2018/2802. The authors declare no other potential conflicts of interest with respect to research, authorship, financial relationships, and/or publication of the article.

                ‡ These authors are joint senior authors on this work.

                Author information
                https://orcid.org/0000-0003-3236-6421
                https://orcid.org/0000-0003-3625-534X
                Article
                PDIG-D-23-00044
                10.1371/journal.pdig.0000216
                10599536
                37878575
                e557bb48-67b9-4680-9262-79d924b108b0
                © 2023 Bucher et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 March 2023
                : 12 August 2023
                Page count
                Figures: 7, Tables: 0, Pages: 25
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100006975, Indiana Clinical and Translational Sciences Institute;
                Award ID: UL1TR002529
                Award Recipient :
                This project was funded with support from the Indiana Clinical and Translational Sciences Institute, through an IU Center for Global Health Equity/Indiana CTSI Reciprocal Innovation Demonstration Grant to Dr. Sherri Bucher (Indiana University School of Medicine) and Dr. Jacqueline Linnes (Purdue University Weldon School of Biomedical Engineering). Indiana CTSI is funded in part by Award Number UL1TR002529 from the National Institutes of Health, National Center for Advancing Translational Sciences, Clinical and Translational Sciences Award. Open-source manuscript publication costs were supported by the IU School of Medicine Department of Pediatrics, Division of Neonatal-Perinatal Medicine to SLB. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Developmental Biology
                Neonates
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Neonatal Care
                Medicine and Health Sciences
                Pediatrics
                Neonatology
                Neonatal Care
                Medicine and Health Sciences
                Health Care
                Neonatal Care
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Social Sciences
                Economics
                Economic Geography
                Low and Middle Income Countries
                Earth Sciences
                Geography
                Economic Geography
                Low and Middle Income Countries
                Medicine and Health Sciences
                Public and Occupational Health
                Global Health
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Allied Health Care Professionals
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Computer and Information Sciences
                Computer Architecture
                User Interfaces
                Custom metadata
                Our code is available on GitLab ( https://gitlab.com/librehealth/incubating-projects/mhbs).

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