Open AccessNeed for Improved Collection and Harmonization of Rural Maternal Healthcare Data
Author(s) -
Donna A. Santillan,
Heather Davis,
Elissa Z. Faro,
Boyd M. Knosp,
Mark K. Santillan
Publication year - 2022
Publication title -
clinical obstetrics and gynecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.927
H-Index - 75
eISSN - 1532-5520
pISSN - 0009-9201
DOI - 10.1097/grf.0000000000000752
Subject(s) - medicine , harmonization , health care , pregnancy , data collection , rural area , granularity , data science , health data , computer science , economic growth , statistics , physics , mathematics , pathology , biology , acoustics , economics , genetics , operating system
Representation in data sets is critical to improving healthcare for the largest possible number of people. Unfortunately, pregnancy is a very understudied period of time. Further, the gap in available data is wide between pregnancies in urban areas versus rural areas. There are many limitations in the current data that is available. Herein, we review these limitations and strengths of available data sources. In addition, we propose a new mechanism to enhance the granularity, depth, and speed with which data is made available regarding rural pregnancy.