Amaç: Bu araştırma, infertil kadınların bilgi kaynakları, bilgi arama davranışları ve e-sağlık okuryazarlığı düzeyleri ve bu düzeyi etkileyen faktörlerin belirlenmesi amacıyla yürütülmüştür. Gereç ve Yöntemler: Tanımlayıcı desende yürütülen bu araştırmanın örneklemini 75 infertil kadın oluşturmuştur. Veriler, araştırmacılar tarafından literatür doğrultusunda hazırlanan tanıtıcı özellikler formu ve E-Sağlık Okuryazarlık Ölçeği kullanılarak çevrim içi veri toplama formları kullanılarak toplanmıştır. Verilerin analizinde tanımlayıcı istatistikler, bağımsız gruplar için t-testi ve tek yönlü varyans analizi uygulanmıştır. Bulgular: Bilgi arama sürecinde internet kaynaklarını sıklıkla kullanan kadınların, interneti kullanma sebeplerinin çocuk sahibi olamama nedenleri ve tedavi seçenekleri hakkında bilgi edinmenin yanı sıra başkalarının deneyimlerini öğrenme, benzer deneyim yaşayan bireylerden öneriler alma ve tedavi sürecine ilişkin bilgi alışverişinde bulunma olduğu belirlenmiştir. Kadınların %57,3'ünün edindikleri bilgiyi teyit ettikleri saptanırken sadece %21,3'ünün bu bilgiyi sağlık profesyonelleri ile teyit ettikleri bulunmuştur. Kadınların çoğunun edindikleri bu bilgiyi günlük yaşamlarında ve sağlıklarına ilişkin karar verme süreçlerinde kullandıkları saptanmıştır. Kadınların E-Sağlık Okuryazarlık Ölçeği puan ortalamasının 26,18±7,15 olduğu bulunmuştur. Kadınların e-sağlık okuryazarlık düzeyleri ile öğrenim durumları arasında anlamlı fark olmadığı (p>0,005), ancak internet kullanım sıklıkları ile arasında anlamlı farklılık olduğu bulunmuştur (p<0,005). Sonuç: Araştırmada kadınların birçok konuya ilişkin internette bilgi arama davranışında bulunması, ancak edindikleri bilgiyi sağlık profesyonelleri ile sınırlı teyit etmeleri ve e-sağlık okuryazarlık düzeylerinin orta düzeyde olması oldukça dikkat çekicidir. Bu nedenle kadınların güvenilir bilgiye erişebilmeleri açısından e-sağlık okuryazarlık düzeylerinin artırılmasına ilişkin girişimler önerilmektedir.
Anahtar Kelimeler: Sağlık okuryazarlığı; infertilite; internet; hemşirelik
Objective: This study was conducted to determine the information sources, information seeking behaviors and e-health literacy levels of infertile women and which factors affect these levels. Material and Methods: The sample of this study, which was conducted in a descriptive design, consisted of 75 infertile women. Data were collected by using online data collection forms using the introductory characteristics form and the E-Health Literacy Scale prepared by the researchers in line with the literature. In the analysis of the data, descriptive statistics, t-test for independent groups and one-way analysis of variance were applied. Results: It has been determined that the reasons for women who frequently use internet resources in the information search process are to learn about the reasons for not having children and treatment options, as well as to learn about the experiences of others, to get suggestions from individuals who have had similar experiences, and to exchange information about their treatment process. It was found that 57.3% of the women confirmed the information they obtained, while only 21.3% confirmed this information with health professionals. It has been determined that women use this knowledge in their daily lives and in decision-making processes regarding their health. The mean score of the women's E-Health Literacy Scale was found to be 26.18±7.15. It was found that there was no significant difference between the e-health literacy levels of women and their educational status (p>0.005), but there was a significant difference between the frequency of internet use (p<0.005). Conclusion: In the study, it is quite remarkable that women search for information on many subjects on the internet, but they only confirm the information they need with health professionals, and their e-health literacy level is at a moderate level. For this reason, initiatives to increase e-health literacy levels are recommended so that women can access reliable information.
Keywords: Health literacy; infertility; internet; nursing
- American College of Obstetricians and Gynecologists [Internet]. 2022 American College of Obstetricians and Gynecologists [Cited: February 10, 2022]. Treating infertility. Available from: [Link]
- World Health Organization [Internet]. © 2022 WHO [Cited: February 10, 2022]. Infertility. Available from: [Link]
- Nik Hazlina NH, Norhayati MN, Shaiful Bahari I, Nik Muhammad Arif NA. Worldwide prevalence, risk factors and psychological impact of infertility among women: a systematic review and meta-analysis. BMJ Open. 2022;12(3):e057132. [Crossref] [PubMed] [PMC]
- Boivin J. How does stress, depression and anxiety affect patients undergoing treatment? Curr Opin Obstet Gynecol. 2019;31(3):195-9. [Crossref] [PubMed]
- Nagórska M, Bartosiewicz A, Obrzut B, Darmochwał-Kolarz D. Gender differences in the experience of infertility concerning Polish couples: preliminary research. Int J Environ Res Public Health. 2019;16(13):2337. [Crossref] [PubMed] [PMC]
- Dube L, Bright K, Hayden KA, Gordon JL. Efficacy of psychological interventions for mental health and pregnancy rates among individuals with infertility: a systematic review and meta-analysis. Hum Reprod Update. 2023;29(1):71-94. [Crossref] [PubMed]
- Iordachescu DA, Gica C, Vladislav EO, Panaitescu AM, Peltecu G, Furtuna ME, et al. Emotional disorders, marital adaptation and the moderating role of social support for couples under treatment for infertility. Ginekol Pol. 2021;92(2):98-104. [Crossref] [PubMed]
- Swarnika SSP. Effect of infertility on Psychological well-being of women. Int J Econ Perspect. 2023;17(3):274-82. [Cited: March 22, 2023]. Available from: [Link]
- Brochu F, Robins S, Miner SA, Grunberg PH, Chan P, Lo K, et al. Searching the internet for infertility information: a survey of patient needs and preferences. J Med Internet Res. 2019;21(12):e15132. [Crossref] [PubMed] [PMC]
- Zelkowitz P, Robins S, Grunberg P. Searching for infertility information online: Differences between men and women. IPROCEEDINGS. 2016;2(1):e6243. [Crossref]
- Satir DG, Kavlak O. Use of the internet related to infertility by infertile women and men in Turkey. Pak J Med Sci. 2017;33(2):265-9. [Crossref] [PubMed] [PMC]
- Yousaf O, Popat A, Hunter MS. An investigation of masculinity attitudes, gender, and attitudes toward psychological help-seeking. Psychol Men Masc. 2015;16(2):234. [Crossref]
- Jia X, Pang Y, Liu LS. Online Health Information Seeking Behavior: A Systematic Review. Healthcare (Basel). 2021;9(12):1740. [Crossref] [PubMed] [PMC]
- World Health Organization [Internet]. ©2023 WHO [Cited: July 10, 2023]. Health promotion glossary of terms 2021. Available from: [Link]
- Centers for Disease Control and Prevention [Internet]. U.S. Department of Health & Human Services [Cited: March 10, 2023]. eHealth Literacy. Available from: [Link]
- Duplaga M. Determinants and consequences of limited health literacy in Polish society. Int J Environ Res Public Health. 2020;17(2):642. [Crossref] [PubMed] [PMC]
- Norman CD, Skinner HA. eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res. 2006;8(2):e27. [Crossref] [PubMed] [PMC]
- Juvrud J, Rennels JL. "I don't need help": Gender differences in how gender stereotypes predict help-seeking. Sex Roles. 2017;76(1-2):27-39. [Crossref]
- Kilfoyle KA, Vitko M, O'Conor R, Bailey SC. Health literacy and women's reproductive health: a systematic review. J Womens Health (Larchmt). 2016;25(12):1237-55. [Crossref] [PubMed] [PMC]
- Patras G, Safdari F, Jafari H, Rafiei S, Kazemi AF. Correlation of health literacy and sexual satisfaction in infertile women referred to infertility center of Al-Zahra Hospital in Tabriz. J Promot Manag. 2020;9(4):58-67. [Link]
- Sahebalzamani M, Mostaedi Z, Farahani H, Sokhanvar M. Relationship between health literacy and sexual function and sexual satisfaction in ınfertile couples referred to the royan institute. Int J Fertil Steril. 2018;12(2):136-41. [PubMed] [PMC]
- Childress KJ, Lawson AK, Ghant MS, Mendoza G, Cardozo ER, Confino E, et al. First contact: the intersection of demographics, knowledge, and appraisal of treatment at the initial infertility visit. Fertil Steril. 2015;104(1):180-7. [Crossref] [PubMed] [PMC]
- Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149-60. [Crossref] [PubMed]
- Kruglova K, O'Connell SBL, Dawadi S, Gelgoot EN, Miner SA, Robins S, et al. An mHealth app to support fertility patients navigating the world of ınfertility (infotility): development and usability study. JMIR Form Res. 2021;5(10):e28136. [Crossref] [PubMed] [PMC]
- Tamer Gencer Z. Norman ve Skinner'ın E-Sağlık Okuryazarlığı Ölçeği'nin kültürel uyarlaması için geçerlilik ve güvenilirlik çalışması [Analysis of validity and reliability of Norman and Skinner's e-health scale literacy for cultural adaptation]. Connectist. 2017;(52):131-45. [Crossref]
- George D, Mallery M. SPSS for Windows Step By Step: A Simple Study Guide and Reference, 17.0. Update. 10th ed. India: Pearson Education; 2011.
- Sormunen T, Karlgren K, Fossum B, Aanesen A, Westerbotn M. Focus on infertility-women's experiences of using social media: a qualitative study. Open J Soc Sci. 2021;9(5):382-95. [Crossref]
- Passet-Wittig J, Greil AL. Factors associated with medical help-seeking for infertility in developed countries: A narrative review of recent literature. Soc Sci Med. 2021;277:113782. [Crossref] [PubMed]
- Huang JY, Al-Fozan H, Tan SL, Tulandi T. Internet use by patients seeking infertility treatment. Int J Gynaecol Obstet. 2003;83(1):75-6. [Crossref] [PubMed]
- Negris O, Lawson A, Brown D, Warren C, Galic I, Bozen A, et al. Emotional stress and reproduction: what do fertility patients believe? J Assist Reprod Genet. 2021;38(4):877-87. [Crossref] [PubMed] [PMC]
- Abbasi J. Widespread misinformation about infertility continues to create COVID-19 vaccine hesitancy. JAMA. 2022;327(11):1013-5. [Crossref] [PubMed]
- Seifer DB, Petok WD, Agrawal A, Glenn TL, Bayer AH, Witt BR, et al. Psychological experience and coping strategies of patients in the Northeast US delaying care for infertility during the COVID-19 pandemic. Reprod Biol Endocrinol. 2021;19(1):28. Erratum in: Reprod Biol Endocrinol. 2021;19(1):66 [Crossref] [PubMed] [PMC]
- Sormunen T, Karlgren K, Aanesen A, Fossum B, Westerbotn M. The role of social media for persons affected by infertility. BMC Womens Health. 2020;20(1):112. [Crossref] [PubMed] [PMC]
- Neter E, Brainin E. eHealth literacy: extending the digital divide to the realm of health information. J Med Internet Res. 2012;14(1):e19. [Crossref] [PubMed] [PMC]
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