Reproductive health information‐seeking: Predictors and perceived barriers among young Peruvian women

Abstract

This cross-sectional study examined the main predictors and perceived barriers to reproductive health information seeking by young Peruvian women. Using an online survey, young Peruvian women aged 18-26 years old were invited to participate voluntarily in this study. The Comprehensive Model of Information seeking from Johnson and Meischke (1993) was tested. This model indicates that demographics, direct experience, salience, and beliefs predict utility of information sources. The model also suggests that information-carrier characteristics (perceived trust and perceived utility) could influence health information seeking. Hypotheses related to these variables were tested. An important addition to the model was perceived barriers, which are considered critical factors in the Peruvian context because of the taboo related to sexual and reproductive health. Path analysis with manifest variables was used to test the best fit between the data and the hypothesized model. Data analysis showed mixed results, drawing attention to the direct effects of personal factors on health information seeking.cultural beliefs, health information seeking, Peru, reproductive health, unplanned pregnancy, young women Highlights• The present study aimed to determine the main predictors and perceived barriers of reproductive (modern contraception) health information-seeking behavior of young Peruvian women. • The study drew attention to the direct effects of personal factors on health information seeking among young women and the role perceived barriers in

Addressing challenges to effectively disseminate relevant health information

“…Garcia's (2022) “Reproductive Health Information Seeking Matters: Predictors and Perceived Barriers Among Young Peruvian Women” reports an online survey of young Peruvian women's experiences seeking reproductive health information. Similar to the Fung et al (2022) article, this study was also grounded in the Comprehensive Model of Information Seeking (CMIS).…”