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Effect of an integrated neonatal care kit on cause-specific neonatal mortality in rural Pakistan

Datos Bibliográficos

ID19529902
AutoresJessica Duby (0000-0003-4321-0844, McGill University, autor de correspondencia), Lisa G Pell (0000-0001-5116-9998, Hospital for Sick Children), Shabina Ariff (0000-0002-9627-2662, Aga Khan University), Amira M Khan (0000-0002-7936-5824, Hospital for Sick Children), Amira Khan, Afsah Bhutta (Hospital for Sick Children), Daniel S Farrar (0000-0002-7823-1912, Hospital for Sick Children), Diego G Bassani (0000-0001-6704-3820, University of Toronto), Masawar Hussain (0000-0001-9449-4467, Aga Khan University), Zulfiqar A Bhutta (0000-0003-0637-599X, Aga Khan University), Sajid Soofi (0000-0003-4192-8406, Aga Khan University), Shaun K Morris (0000-0001-9809-0822, University of Toronto)
Año2020
Volumen13
Número1
Páginas1802952-1802952
Fecha de publicación2020-12-31
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaGlobal Health Action (JOURNAL)
Identificadores de la revistaISSN: 1654-9716 • E-ISSN: 1654-9880
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/16549716.2020.1802952
PMID32838701
OpenAlexW3081216388
IdiomaEN
Citas recibidas1
Referencias citadas17

BACKGROUND: In 2018, Pakistan had the world's highest neonatal mortality rate. Within Pakistan, most neonatal deaths occur in rural areas where access to health facilities is limited, and robust vital registration systems are lacking. To improve newborn survival, there is a need to better understand the causes of neonatal death in high burden settings and engage caregivers in the promotion of newborn health. OBJECTIVE: To describe the causes of neonatal death in a rural area in Pakistan and to estimate the effect of an integrated neonatal care kit (iNCK) on cause-specific neonatal mortality. METHODS: We analyzed data from a community-based, cluster-randomized controlled trial of 5286 neonates in Rahim Yar Khan (RYK), Punjab, Pakistan between April 2014 and August 2015. In intervention clusters, Lady Health Workers (LHW) delivered the iNCK and education on its use to pregnant women while control clusters received the local standard of care. The iNCK included interventions to prevent and identify signs of infection, identify low birthweight (LBW), and identify and manage hypothermia. Verbal autopsies were attempted for all deaths. The primary outcome was cause-specific neonatal mortality. RESULTS: Verbal autopsies were conducted for 84 (57%) of the 147 reported neonatal deaths. The leading causes of death were infection (44%), intrapartum-related complications (26%) and prematurity/LBW (20%). There were no significant differences in neonatal mortality due to prematurity/LBW (RR 0.43; 95% CI 0.15-1.24), infection (RR 1.10; 95% CI 0.58-2.10) or intrapartum-related complications (RR 1.04; 95% CI 0.0.45-2.41) among neonates who died in the intervention arm compared to those who died in the control arm. CONCLUSION: The major causes of neonatal deaths in RYK, Pakistan mirror the global landscape of neonatal deaths. The iNCK did not significantly reduce any cause-specific neonatal mortality

Cause of death · Disease · Environmental health · Fetus · Infant mortality · Low birth weight · Neonatal death · Neonatal infection · Neonatal intensive care unit · Neonatal mortality · Population · Pregnancy · Psychological intervention · Verbal autopsy · Global Maternal and Child Health · Maternal and Neonatal Healthcare · Medicine · Neonatal Respiratory Health Research · Nursing · Pediatrics

  • An integrated newborn care kit (iNCK) to save newborn lives and improve health outcomes in Gilgit Baltistan (GB), Pakistan

    Open Access•Sarah M Abu Fadaleh, Lisa G Pell et al.•BMC Public Health•2023

  • Global, regional, and national causes of under-5 mortality in 2000–15

    Open Access•Li Liu, Shefali Oza et al.•The Lancet•2016

  • A global assessment of civil registration and vital statistics systems

    Open Access•Line Mikkelsen, Lene Mikkelsen et al.•The Lancet•2015

  • The central role of the propensity score in observational studies for causal effects

    Paul R Rosenbaum, Donald B Rubin•Biometrika•1983

Obras citantes distintas1
Citas por año0,33
Intervalo de citas2023 - 2023 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
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