The effect of e-health interventions on meeting the needs of individuals with infertility: a narrative review

Hamidzadeh, Azam; Salehin, Shahrbanoo; Abadi, Tahereh Naseri Boori; Chaman, Reza; Mogharabian, Nasser; Keramat, Afsaneh

doi:10.1186/s43043-023-00137-7

Cited by 4 publications

(1 citation statement)

References 44 publications

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“…Therefore, the proper intervention helps the majority of women facing the couple’s fertility problems to achieve some type of resolution. It has been well-documented that online interventions for infertile individuals can reduce symptoms of anxiety and depression [ 8 , 9 , 51 , 70 ]. Besides, identifying factors that influence response to psychological intervention can be highly beneficial.…”

Section: Discussionmentioning

confidence: 99%

Predictors of nonresponse to treatment and low adherence to internet-based cognitive behavioral therapy in depressed/anxious women facing the couple’s fertility problems: a secondary analysis of a randomized control trial

Shafierizi,

Basirat,

Nasiri-Amiri

et al. 2024

BMC Psychiatry

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Background The study aimed to examine the predictors of treatment nonresponse and low adherence to Internet-based cognitive behavioral therapy and face-to-face therapy for treating depression and anxiety in women facing the couple’s fertility problems. Methods This is a secondary analysis based on a previous randomized controlled trial including 152 depressed/anxious women facing the couple’s fertility problems. The study defines low adherence as receiving less than 4 sessions (out of 8 sessions). Nonresponse to treatment refers to a < 50% reduction in the anxiety and depression total scores. Results A high level of anxiety/depression score before psychotherapy increases the risk of nonresponse to both Internet-based and face-to-face psychotherapies by 1.4 to 2 times in women facing the couple’s fertility problems after the treatment and in the 6-month follow-up. However, 4 factors, including diagnosis of mixed anxiety and depression, low education level, long marriage duration, and infertility caused by mixed female/male factors, reduced the risk of nonresponse to psychotherapies. Conclusion Women facing the couple’s fertility problems with high depression and anxiety scores are at risk of poor prognosis in response to psychotherapy. Psychologists and healthcare providers of infertility centers should pay more attention to the timely identification and referral of depressed/anxious patients to psychologists.

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Section: Discussionmentioning

confidence: 99%

Predictors of nonresponse to treatment and low adherence to internet-based cognitive behavioral therapy in depressed/anxious women facing the couple’s fertility problems: a secondary analysis of a randomized control trial

Shafierizi,

Basirat,

Nasiri-Amiri

et al. 2024

BMC Psychiatry

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Trends, outcomes and knowledge gaps in mobile apps for reproductive endocrinology and infertility: a scoping review protocol

dos Santos,

de Gouvêa,

Castro

et al. 2024

BMJ Open

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IntroductionInfertility is a complex condition that affects millions worldwide, with significant physical, emotional and social implications. Mobile apps have emerged as potential tools to assist in the management of infertility by offering features such as menstrual cycle tracking, ovulation prediction, fertility education, lifestyle modification guidance and emotional support, thereby promoting reproductive health. Despite promising advancements such as the development of apps with sophisticated algorithms for ovulation prediction and comprehensive platforms offering integrated fertility education and emotional support, there remain gaps in the literature regarding the comprehensive evaluation of mobile apps for reproductive endocrinology and infertility. This scoping review distinguishes itself by systematically mapping and synthesising evidence on mobile apps specifically for reproductive endocrinology and infertility, unlike previous reviews that may not have focused exclusively on this intersection. This review aims to analyse recent trends, identify outcomes used to assess usability and highlight knowledge gaps.Methods and analysisThis scoping review will adhere to the methodological frameworks outlined by Arksey and O'Malley and Levacet al, alongside the Joanna Briggs Institute’s recommendations. The research question, ‘What is known about mobile apps in reproductive health and infertility?’ was formulated using the Population, Concept, Context (PCC) strategy. We will include studies published from January 2019 to April 2024 in English, Portuguese and Spanish that focus on the use of mobile apps in reproductive health and infertility. Searches will be conducted across electronic databases (EMBASE, ERIC, PubMed, Science Direct, Scopus and Web of Science) and grey literature sources. Two independent reviewers will carry out the study selection using Covidence software. Data extraction will follow a standardised format and will be synthesised narratively using tables and graphs. Expert consultations will be conducted to validate the findings.Ethics and disseminationEthical approval is not required for this scoping review as it will only use published data. The findings will be disseminated through publication in a peer-reviewed journal, conference presentations and stakeholder meetings. The review protocol will be registered with the Open Science Framework to ensure transparency and reproducibility.

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Determining the content and needs assessment a mobile-based self-care program in infertile men

Nadjarzadeh,

Fallahzadeh,

Abasi

et al. 2023

BMC Med Inform Decis Mak

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Background Infertility is a public health problem in the world, using new technology, such as mobile phones, is increasing in the field of health. This study aimed to determine the Necessity of self-care training contents by performing a needs analysis among men with infertility problems to design a mobile phone-based application. Methods Followed by reviewing the related literature, a questionnaire including 40 educational items and seven software features was designed in three general sections and distributed among 30 specialists in nutrition (n = 18) and infertility (n = 12). The validity of the questionnaire was confirmed by a panel of experts in nutrition, infertility, and medical informatics. The questionnaire’s reliability was also corroborated by Cronbach’s alpha of 86.4. Results All items related to the software features and most items in the questionnaire were deemed necessary by participants. However, the items: “Occupation and history of chronic diseases” in the demographic information section and “Effects of infertility and food allergy” in the educational section were not confirmed. Conclusion The present findings could not only highlight the patients’ roles in managing their disease but also increase the healthcare workers’ awareness in designing the hospital information system.

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The effect of e-health interventions on meeting the needs of individuals with infertility: a narrative review

Cited by 4 publications

References 44 publications

Predictors of nonresponse to treatment and low adherence to internet-based cognitive behavioral therapy in depressed/anxious women facing the couple’s fertility problems: a secondary analysis of a randomized control trial

Predictors of nonresponse to treatment and low adherence to internet-based cognitive behavioral therapy in depressed/anxious women facing the couple’s fertility problems: a secondary analysis of a randomized control trial

Trends, outcomes and knowledge gaps in mobile apps for reproductive endocrinology and infertility: a scoping review protocol

Determining the content and needs assessment a mobile-based self-care program in infertile men

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