Geographic variance partitioning (%) by clusters, districts, and states for births by cesarean section across public and private facilities, India, NFHS 2016 & 2021.

Geographic variance partitioning (%) by clusters, districts, and states for births by cesarean section across public and private facilities, India, NFHS 2016 & 2021.

<p>Geographic variance partitioning (%) by clusters, districts, and states for births by cesarean section across public and private facilities, India, NFHS 2016 & 2021.</p>

Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Sunil Rajpal (4888666) (author)
Άλλοι συγγραφείς:	Shreya Ronanki (21435027) (author), Nehantha Sathesh (21435030) (author), Rockli Kim (772633) (author), S. V. Subramanian (7314020) (author)
Έκδοση:	2025
Θέματα:	Medicine Cell Biology Biotechnology Sociology urgent policy action kashmir consistently reporting child health outcomes private facilities saw public facilities declined southern states imply mitigate additional health study examines trends india &# 8217 different geographical levels 2016 &# 8211 2 percentage points 1 percentage points variation across states highest cesarean rates 2021 </ p additional health geographical levels cesarean rates total variation private hospitals public hospitals comparing public cesarean section cesarean births 36 states uniform protocols two waves timely monitoring term risks tamil nadu sectional analysis repeated cross relative contribution regional disparities precise targeting national level increased inter healthcare sector future pregnancies economic burdens affecting fertility
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