Stillbirth rates and its spatial patterns in India: an exploration of HMIS data.

ABSTRACT:

Background

High prevalence of stillbirths is a significant concern for the health system of India. This necessitates a closer scrutiny of the prevalence, spatial pattern and the risk factors of stillbirth at both national and local level.

Methods

We analysed stillbirth data of three financial years (April 2017-March 2020) from Health Management Information System (HMIS) of India which provides majorly public facility level data for stillbirths up to the district level on a monthly basis. National and state level prevalence of stillbirth rate (SBR) were estimated. Spatial patterns of SBR at district level was identified using local indicator of spatial association (LISA). Risk factors of stillbirths were studied by triangulation of HMIS and National Family Health Survey (NFHS

SUBMITTER: Purbey A 

PROVIDER: S-EPMC10306056 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature