The impact of individual factors on health information-seeking behavior of infertile couples undergoing assisted reproductive technologies: Longo model

Karami, Nader Alishan; Latifi, Masoomeh; Berahmand, Nilofar; Eini, Fatemeh; N Al-Suqri, Mohammed

The impact of individual factors on health information-seeking behavior of infertile couples undergoing assisted reproductive technologies: Longo model

Authors

¹ Department of Health Information Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

² PhD in Information Sciences and Knowledge Studies, Fertility and Infertility Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

³ PhD in Information Sciences and Knowledge Studies, Shiraz University of Medical Sciences, Shiraz, Iran

⁴ Research Assistant Professor of Reproductive Biology Fertility and Infertility Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

⁵ Associate Professor of Information Studies, Sultan Qaboos University, Muscat, Oman

Abstract

Background: This study investigated the impact of individual factors on the Health information-seeking behavior (HISB) of infertile couples undergoing Assisted Reproductive Technologies (ART).
Materials and Methods: This applied study was done using the descriptive-analytical method. The population of the study remains to be infertile couples undergoing ART referred to a public Infertility Center and a private one in Bandar Abbas (capital of Hormozgan province, Southern Iran) in the summer of 2020. Using simple random sampling, 168 people were selected. The data collection tool was a questionnaire extracted from Longo HISB Model, used after validation and reliability. Data were analyzed by SPSS software using descriptive and inferential tests.
Results: The results showed that individual factors (gender, education, income, age, and cause of infertility) affect the HISB of infertile couples. Based on the analysis of variance, there was a significant difference between infertile couples concerning Passive Information Receipt (F = 2.688 and P = 0.048) so the couples with a male cause used Passive Information Receipt more.
Conclusions: Considering the results, it is necessary for the country's health system to take appropriate measures to provide an appropriate situation for better decision-making for infertile couples and improve the chances of fertility by reducing the existing inequalities to Active Information Receipt and quality health information.

Keywords

References

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Advanced Biomedical Research