Analysis of Reproductive Health Information and Services Websites: A Qualitative Content Analysis

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 5

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شناسه ملی سند علمی:

JR_JMREH-13-4_009

تاریخ نمایه سازی: 24 مهر 1404

چکیده مقاله:

Background & aim: Providing the information needs of couples in an easy and low-cost manner has a fundamental and significant role in the health of the family, and promoting childbearing. This research study was conducted to analyze reproductive health information and services websites.Methods: All relevant websites were searched in Google, Yahoo and Bing search engines with the keywords "pregnancy", "childbirth", "childbearing", website" between August ۲۰۲۲ and February ۲۰۲۳.  Through the search ۸۵ websites were identified, and finally ۴۰ were analyzed in terms of content and design. The content of websites were analyzed with conventional inductive content analysis approach, using Maxqda software. Results: By analyzing the websites, ۴۸۶ codes were extracted. All the codes were merged into three main categories including structural patterns, content patterns and service patterns. In the category of structural patterns, greater familiarity with the website accounted for ۵.۵%, In the category of content patterns, contents related to the pregnancy and childbirth (۳۳.۱%), factors influencing fertility (۱۰.۶%), family issues (۱۰.۲%) and women's health (۸.۰۲%) were the most popular content on the web. In the category of service pattern, fertility and ovulation calendars accounted for the highest number of codes (۶.۷%)Conclusion: The themes identified on the websites covered a wide range of aspects related to fertility. The use of the mentioned themes can be a suitable model in the construction of a website in the field of pregnancy and childbirth, but there is a need to produce more content regarding the promotion of childbearing.

نویسندگان

Faezeh Ghorbani

PhD Student in Reproductive Health, Department of Midwifery, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran

Talat Khadivzadeh

a) Professor, Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Iran b) Department of Midwifery, School of Nursing and Midwifery, Mashhad University Medical of Medical Sciences, Mashhad, Iran

Fatemeh Zahra Karimi

a) Associate Professor, Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Iran b) Department of Midwifery, School of Nursing and Midwifery, Mashhad University Medical of Medical Sciences, Mashhad, Iran

Kolsoum Deldar

Assistant Professor, Department of Medical Informatics, Shahrood Medical School, Shahrood, Iran

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