Vasanthakumar Namasivayam

Datos Biográficos

ID1739719
NOMBREVasanthakumar Namasivayam
NOMBRESVasanthakumar
APELLIDONamasivayam
FIRMANAMASIVAYAM V
AFILIACIONESUniversity of Manitoba
ORCID0000-0001-7905-0155
VERIFICADOSí
TOTAL DE OBRAS7
TOTAL DE CITAS0
TOTAL COMO AUTOR7
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0

  • Lessons learned from redesigning public health medicines supply chain model in Uttar Pradesh, India

    Open AccessVasanthakumar Namasivayam, Manuj Purwar et al.ARTICLEFrontiers in Public Health2025

    Uttar Pradesh (UP), the most populous state of India with 238 million people, has over 30,000 public health facilities. Ensuring the continuous availability of essential medicines across these facilities is a significant challenge. An audit conducted in 2017 indicated large gaps in the availability of essential medicines in public health facilities. This study describes the lessons from Tamil Nadu’s Medical Supplies Corporation (TNMSC) that were …

  • Essential newborn care practices in selected public health facilities using observation of 2603 normal deliveries in Uttar Pradesh, India

    Open AccessShajy Isac, Bidyadhar Dehury et al.ARTICLEBMJ Global Health2025

    INTRODUCTION: Essential newborn care (ENBC) practices are recommended for all births to improve neonatal survival. This paper aims to understand the facility-level variations and factors associated with the essential newborn care practices by providers in higher-level public health facilities in 25 high priority districts (HPDs) of Uttar Pradesh (UP). METHODS: We used observational cross-sectional quantitative data from 48 selected public health …

  • An analytical approach towards attaining leave no one behind using patterns and distributions of inequalities in antenatal and facility delivery coverage in Uttar Pradesh, India

    Open AccessVasanthakumar Namasivayam, Ravi Prakash et al.ARTICLEInternational Journal for Equity…2025

    The proposed health equity framework suggests that to achieve LNOB status, understanding inequality with the coverage status is important. If coverage is high and inequality persists, identify the program layer at which maximum inequality persists to identify the left behinds. Whereas, if coverage is poor, programs are required to improve coverage first. Findings also call for a systematic way of collecting and organizing granular data to underst…

  • Examining policy intentions and actual implementation practices

    Open AccessAnkita Meghani, Daniela C Rodríguez et al.ARTICLESocial Science & Medicine2021Referencias: 22

  • Facilities are substantially more influential than care providers in the quality of delivery care received

    Open AccessSarah M Helfinstein, Sarah Helfinstein et al.ARTICLEBMJ Global Health2020

    INTRODUCTION: Improving the quality of care during childbirth is essential for reducing neonatal and maternal mortality. One barrier to improving quality of care is understanding the appropriate level to target interventions. We examine quality of care data during labour and delivery from multiple countries to assess whether quality varies primarily from nurse to nurse within the same facility, or primarily between facilities. METHODS: To assess …

  • Closing the gap on institutional delivery in northern India

    Open AccessVincent Huang, Vincent S Huang et al.ARTICLEBMJ Global Health2020

    INTRODUCTION: Meeting ambitious global health goals with limited resources requires a precision public health (PxPH) approach. Here we describe how integrating data collection optimisation, traditional analytics and causal artificial intelligence/machine learning (ML) can be used in a use case for increasing hospital deliveries of newborns in Uttar Pradesh, India. METHODS: Using a systematic behavioural framework we designed a large-scale survey …

  • The contribution of district prioritization on maternal and newborn health interventions coverage in rural India

    Open AccessBM Ramesh, Bidyadhar Dehury et al.ARTICLEJournal of Global Health2020

    BACKGROUND: In 2001, India prioritized eight most socioeconomically disadvantaged states known as Empowered Action Group (EAG) states and in 2013, it prioritized 190 of the 718 as high priority districts (HPDs) to accelerate the decline in maternal and newborn mortality. This paper assesses whether the HPDs achieved a greater coverage of maternal and newborn health interventions than the non-HPDs and HPDs in EAG states achieved greater coverage t…