| ORIGINAL ARTICLE |
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| Year : 2023 | Volume
: 12
| Issue : 1 | Page : 68 |
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The impact of individual factors on health information-seeking behavior of infertile couples undergoing assisted reproductive technologies: Longo model
Nader Alishan Karami1, Masoomeh Latifi2, Nilofar Berahmand3, Fatemeh Eini4, Mohammed N Al-Suqri5
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
Correspondence Address:
Dr. Masoomeh Latifi
PhD in Information Sciences and Knowledge Studies, Fertility and Infertility Research Center, Hormozgan University of Medical Sciences, Bandar Abbas
Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/abr.abr_181_22
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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.
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