Tricia Aung, Debora Niyeha, Shagihilu Shagihilu, Rose Mpembeni, Joyceline Kaganda, Ashley Sheffel, Rebecca Heidkamp
Optimizing data visualization for reproductive, maternal, newborn, child health, and nutrition (RMNCH&N) policymaking: data visualization preferences and interpretation capacity among decision-makers in Tanzania
Global health research and policy
effects healthliteracy healthperception prenatal distress levels pregnant women investigated aimed examine relationship pregnant womens prenatal distress levels healthliteracy healthperception affecting factors descriptive correlational study conducted 223 pregnant women ankara turkey 2021 data collected personal information form health literacy scale hls health perception scale hps prenatal distress scale pds participants mean score pds 1139617 participants high level education p0040 working p0026 history miscarriageabortion p0040 bad relationship spouses p0001 significantly higher mean scores pds significant negative correlation total pds hls scores p0001 positive correlation total pds hps scores p0001 total hls hps scores spousal relationship status education level employment effect mean pds score explanatory power model found 215 r20215 pregnant women moderate level prenatal distress prenatal distress levels pregnant women high healthliteracy levels decreased levels employed higher level education bad relationship spouses increased awareness factors affecting pregnant womens prenatal distress guide provision adequate care support interventions pregnancy