Investigation of Intercultural Sensitivity and Ethnocentrism Levels of Midwife Candidates in Turkey Sample: A Cross-Sectional Study

Midwives' Intercultural Effectiveness Levels and Influencing Factors

INTRODUCTION

Due to globalization, countries around the world are starting to notice diversity in their populations. It is crucial that midwives be able to communicate effectively with women from a variety of cultures to provide them with culturally effective health care.

METHOD

This cross-sectional study was conducted with 394 midwives who work in seven different regions of Türkiye. Data on the intercultural effectiveness and intercultural communication competence of midwives were collected. Data analysis was performed using descriptive statistics, t-tests, analysis of variance, and regression analysis.

RESULTS

Midwives' intercultural effectiveness was influenced by their foreign language proficiency, experiences abroad, having friends from different cultures, following social media platforms in different languages and cultures, providing care to individuals from diverse cultures, and their willingness to do so.

DISCUSSION

Findings suggest that exposure to different cultures enhances the level of intercultural effectiveness. Consequently, it is recommended to make plans to support midwives to have positive experiences with different cultures.

Artificial intelligence and the future of midwifery: What do midwives think about artificial intelligence? A qualitative study

The evidence on how AI will make a revolution is insufficient. Our aim was to investigate opinions of midwives on the future of AI and midwifery. Semi-structured interviews were done with 18 midwives in Turkey. Themes were identified: expectations included the advantages and conditional acceptance of robotic technology, prejudices reflected perceived shortcomings, lack of human competencies, and trust issues. Concerns included midwifery care and concerns about her future. Midwives were overwhelmingly skeptical about the replacement of human capabilities by AI and found the technology's potential limited.