The Effect of Telemedicine on Women's Sexual Dysfunction: A Systematic Review and Meta-Analysis

authors:

avatar Elham Joneidi ORCID 1 , avatar Khadijeh Mirzaii Najmabadi ORCID 2 , avatar Ehsan Mousafarkhanei ORCID 3 , avatar Benyamin Hoseini ORCID 4 , avatar Shokoufeh Aalaei 5 , *

Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
Department of Midwifery, Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran
Department of Epidemiology, Management & Social Determinants of Health Research Center, School of Health, Mashhad University of Medical Science, Mashhad, Iran
Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Science, Mashhad, Iran
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

How To Cite Joneidi E, Mirzaii Najmabadi K, Mousafarkhanei E, Hoseini B, Aalaei S. The Effect of Telemedicine on Women's Sexual Dysfunction: A Systematic Review and Meta-Analysis. J Nurs Midwifery Sci. 2024;11(3):e149235. https://doi.org/10.5812/jnms-149235.

Abstract

Context:

Sexual satisfaction is crucial for women's overall well-being; however, traditional interventions often face challenges such as high costs, limited access, inadequate specialized care, and discomfort during counseling sessions. Telemedicine presents a promising solution to these issues.

Objectives:

This systematic review and meta-analysis evaluate the efficacy of telemedicine interventions in improving sexual function and satisfaction among women.

Evidence Acquisition:

We searched SCOPUS, Web of Science, and PubMed for relevant articles published up to January 2024. The search strategy and keywords were crafted using the PICO approach to align with the study's objectives and ensure a comprehensive and structured review. The quality of the included studies was assessed using the Jadad scale. The primary outcome measures were sexual desire, arousal, lubrication, orgasm, pain, satisfaction, and overall Female Sexual Function Index (FSFI) scores. A random-effects model was employed for the meta-analysis, and the I-square index was used to assess heterogeneity.

Results:

The systematic review identified six studies from an initial pool of 4,174 that demonstrated a positive effect of telemedicine interventions on all domains of the FSFI questionnaire, except for the pain domain and overall sexual function scores in women. The effects of telemedicine on sexual desire [standardized mean difference (SMD) = 0.92, 95% CI = 0.51, 1.32], sexual arousal (SMD = 0.97, 95% CI = 0.42, 1.53), vaginal lubrication (SMD = 0.41, 95% CI = 0.23, 0.59), orgasm (SMD = 0.40, 95% CI = 0.21, 0.58), sexual satisfaction (SMD = 0.74, 95% CI = 0.48, 1), and total FSFI (SMD = 1.03, 95% CI = 0.49, 1.58) were found to be significant. However, the effect on pain was not statistically significant (SMD = 0.15, 95% CI = -0.10, 0.40).

Conclusions:

This study supports the effectiveness of telemedicine in improving women's sexual satisfaction and function. However, due to limitations in the included studies, such as small sample sizes, lack of randomization, and lack of blinding in some cases, more comprehensive studies are recommended. Future research should address these methodological limitations to provide stronger evidence on the effectiveness of telemedicine interventions for women's sexual health.

1. Context

Female sexual dysfunction (FSD) includes disorders such as sexual aversion, anorgasmia, and dyspareunia, which significantly impact sexual health and quality of life (1, 2). Female sexual dysfunction is highly prevalent, affecting 40 - 60% of women, with 15 - 50% experiencing sexual dissatisfaction (3, 4). In Iran, the prevalence of FSD increases with age, from 22% in women under 20 to 75.7% in those aged 40 - 50 (5). Stigma, embarrassment, and limited access to treatment often prevent women from seeking help (6).

Female sexual dysfunction affects physical health, reproductive potential, mental well-being, and couple intimacy (3, 5). Sexual pleasure plays a significant role in promoting overall health, enhancing physical and mental well-being, and increasing feelings of happiness (3, 7). Sexual satisfaction, a fundamental human right, is a key indicator of both general and sexual health and is significantly influenced by sexual function (7-9). Dysfunction leads to decreased satisfaction, adversely impacting quality of life, self-esteem, interpersonal relationships, and mental health (4, 5, 10). Optimal sexual function enhances couple satisfaction, marital interactions, and overall health (11). Sexual function impacts personal and partner well-being, with enjoyable sexual relations benefiting social and marital relations, intimacy, and commitment (12, 13). Conversely, sexual dissatisfaction can lead to family disputes, marital conflicts, spousal animosity, infidelity, and divorce, and may correlate with higher rates of crime, sexual assault, and mental illness (6, 14-22).

Telemedicine offers numerous benefits for enhancing sexual knowledge, sexual health services, and related support. It is convenient, affordable, accessible, and confidential, overcoming geographical limitations (23-26). Sexual counseling via telemedicine integrates education on sexual health and relationships, improving attitudes, self-esteem, sexual self-confidence, body image, and marital quality of life (27-32). In contrast, traditional face-to-face counseling encounters barriers such as distance, limited access to counselors, high costs, and stigma (33, 34).

Studies indicate telemedicine's effectiveness in addressing FSD (33-36). Online mindfulness programs have significantly improved sexual function and arousal disorders (34). Telemedicine-based cognitive-behavioral therapy has been shown to enhance sexual function and reduce distress (35). Additionally, telemedicine-delivered sex therapy has increased sexual satisfaction and reduced sexual problems in couples (36). However, engagement and effectiveness vary among couples, highlighting the need for further research and meta-analytic approaches to consolidate the evidence (33, 37).

Despite telemedicine's potential to enhance women's sexual health, research on its impact on sexual satisfaction shows mixed results.

2. Objectives

This systematic review and meta-analysis aim to quantitatively evaluate the effectiveness of telemedicine interventions in improving women's sexual pleasure and fulfillment. The focus is on specific intervention components and desired outcomes, offering a clearer understanding of how telemedicine can support women's sexual well-being.

3. Evidence Acquisition

3.1. Materials and Methods

This review adheres to the PRISMA statement (38) for reporting systematic reviews, and its protocol was prospectively registered in PROSPERO under the unique identifier CRD42024538601.

3.2. Data Sources and Search Strategy

SCOPUS, Web of Science, and PubMed were comprehensively searched to identify relevant studies published in English up to January 2024 that investigated the impact of telemedicine interventions on women's sexual performance. The initial search terms included variations related to the concept of sexual health (e.g., sexual difficulty, sexual disorder, sexual problem, sexual dysfunction, sexual complaint), mobile technology (e.g., mobile apps, mobile health, smartphone, mHealth, cell phone, personal digital assistant (PDA), tablet, iPad, mobile applications, telemedicine), and outcomes (e.g., empowerment, management, satisfaction, training, education, enhancement, consultation, promotion, care, change). The terms were combined using the conjunction "AND" and the disjunction "OR," along with Medical Subject Headings (MeSH) terms. The search strategy was applied to the titles and abstracts of the retrieved studies. To ensure comprehensiveness, a manual search of reference lists from relevant articles was also conducted. Studies were included regardless of design, outcome measures, or publication type. Detailed database search strategies are provided in Appendix 1.

3.3. Inclusion Criteria

Studies were included if they met the following criteria:

1. Investigated the efficacy of telemedicine interventions for improving sexual function in women.

2. Utilized the Female Sexual Function Index (FSFI) as the primary measure of sexual function.

3. Were published in peer-reviewed scientific journals.

4. Enrolled participants who identified as cisgender women and engaged in regular sexual activity.

3.4. Exclusion Criteria

Studies were excluded based on the following criteria:

1. Were non-original research, such as books, review articles, conference papers, theoretical articles, letters to the editor, commentaries, or opinions.

2. Focused on telehealth interventions for men, gay men, or bisexual women.

3. Investigated telehealth applications unrelated to sexual dysfunction.

4. Employed non-experimental research designs.

3.5. Literature Management

Following the formulation of the search strategy and the acquisition of pertinent articles, the reference management software EndNote X5 (Thomson Reuters, New York, NY, USA) was used to consolidate all retrieved records.

3.6. Data Extraction

Two independent reviewers (S.A. and E.J.) conducted the initial screening of the retrieved articles and extracted relevant data using a standardized data extraction form developed by the researchers. Any discrepancies between the reviewers were resolved through consultation with a third reviewer (Kh. M.). The data extraction form included the following elements:

- General information: Author, study country, publication year, study design, disease type, target population, method details, and main findings.

- Sexual function assessment: Information on the instrument used to measure sexual function (e.g., FSFI version, number of items, and outcome scores).

- Telehealth intervention details: Details about the specific telemedicine intervention, including the mode of delivery (e.g., video conferencing, telephone, etc.), intervention duration, and format.

After data extraction, the information was organized into a form to facilitate data analysis and synthesis.

3.7. Primary Outcome Measures

Sexual desire, arousal, lubrication, orgasm, pain, satisfaction, and overall FSFI scores.

3.8. Article Selection Process

A comprehensive search strategy initially identified 4,174 articles from database searches. An additional 14 articles were identified by manually reviewing the reference lists of the retrieved studies. Using automated duplicate detection software (EndNote), 2,812 duplicates were removed, resulting in 1,376 unique articles for title and abstract screening. Two independent reviewers (S.A. and E.J.) screened these articles, excluding 57 that did not meet the format criteria for journal article inclusion (e.g., book chapters, conference proceedings). After applying predefined eligibility criteria, an additional 740 articles were excluded. The remaining 106 articles underwent full-text review by the same two reviewers (S.A. and E.J.). Following a thorough evaluation against the eligibility criteria and for topic relevance, 100 articles were excluded. This rigorous selection process led to the final inclusion of 6 eligible studies in this review. A detailed flowchart illustrating the article selection process is provided in Appendix 2.

3.9. Quality Assessment

Two independent reviewers (S.A. and E.J.) evaluated the methodological quality of the included studies using the Modified Jadad Scale (39). This eight-item instrument (Appendix 3) assesses key methodological components of randomized controlled trials (RCTs) that are relevant to minimizing bias and enhancing internal validity (39). Each item has a binary response (yes/no), with a score of 1 awarded for a positive response and 0 for a negative response. As a result, studies can achieve a maximum total score of 8.

We recognize the difficulty in achieving perfect scores on the Modified Jadad Scale, especially regarding blinding in non-attendance interventions for sexual health issues. Therefore, all retrieved studies were included in the analysis regardless of their total score. However, we acknowledge limitations in certain studies, such as small sample sizes and the impracticality of randomization due to specific patient characteristics (further details are provided in Appendix 3).

3.10. Meta-Analysis

To evaluate the effectiveness of telemedicine interventions for improving women's sexual performance, we employed a meta-analysis approach. Standardized mean differences (SMDs) were calculated to assess the strength of the relationships between interventions and outcomes. Standardized mean differences close to 0 indicate weak relationships, while values of 1 or greater suggest strong associations. We calculated 95% confidence intervals (CIs) to determine the precision of the effect size estimates. Overlapping CIs between studies typically indicate non-significant differences in SMDs (40).

To quantify the variability in effect sizes across studies (heterogeneity), we used Cochran's Q test and the I² statistic. According to established thresholds (41), an I² value below 25% suggests minimal heterogeneity, values between 25% and 75% indicate moderate heterogeneity, and values exceeding 75% reflect substantial heterogeneity. Given the potential for heterogeneity due to variations in sample size and outcome scores (Appendix 4 and 5), a random-effects model was employed for the meta-analysis. To assess potential publication bias, we planned to use funnel plots and Egger's test if a sufficient number of studies (typically 10 or more) were included for each outcome. Data analysis was conducted at a significance level of alpha < 0.05 using STATA software (version 14.0).

4. Results

From a total of 4,174 articles obtained from the database search, 6 articles with a combined sample size of 229 were included in the meta-analysis (33-37, 42). These studies examined the effect of telemedicine approaches on women's sexual performance using the FSFI questionnaire, which measures sexual performance in five areas and provides an overall satisfaction score. The homogeneity results for each area and the total score of the scale are detailed in Appendix 2.

The meta-analysis results indicate that telemedicine is generally effective in improving sexual desire, arousal, lubrication, orgasm, pain, satisfaction, and overall FSFI scores.

4.1. The Effects of Interventions on Sexual Desire in the Posttest

A meta-analysis of six studies involving 228 participants revealed that telemedicine interventions had a significantly stronger positive effect on sexual desire in the post-intervention period compared to the pre-intervention period (SMD = 0.92, 95% CI = 0.51, 1.32) (33-37, 42). The highest weighted effect size was from the study by Lori A. Brotto in 2021 (SMD = 1.58), and the lowest was from the study by Hummel et al. in 2017 (35) (SMD = 0.36). Based on the value of the test statistic, the difference in the results of the studies was not random and was statistically significant. The Higgins heterogeneity value was 80.5%, indicating high heterogeneity between studies in the meta-analysis (Figure 1).

Findings from the meta-analysis of the effect of the intervention on the Sexual Desire Index
Findings from the meta-analysis of the effect of the intervention on the Sexual Desire Index

4.2. Effects of Interventions on Sexual Arousal in the Posttest

A meta-analysis of six studies involving 213 participants revealed a positive effect of telemedicine on sexual arousal compared to the level of sexual arousal before the intervention (33-37, 42). The heterogeneity value was 88.8% according to the I² calculation and Higgins classification, indicating substantial heterogeneity between the results of the studies in the posttest (SMD = 0.97, 95% CI = 0.42, 1.53) (Figure 2).

Findings from the meta-analysis of the effect of the intervention on the Sexual Arousal Index
Findings from the meta-analysis of the effect of the intervention on the Sexual Arousal Index

4.3. The Effects of Interventions on Vaginal Lubrication in the Posttest

A meta-analysis of six studies involving 212 participants revealed a moderate effect of telemedicine interventions on vaginal lubrication after the intervention compared to before the intervention (SMD = 0.41, 95% CI = 0.23, 0.59) (33-37, 42). According to the value of the test statistic, the difference in the results of the studies was not random and was statistically significant. The Higgins heterogeneity value was 12.72%, indicating relatively homogeneous conditions among the studies included in the meta-analysis (Figure 3).

Findings from the meta-analysis of the effect of the intervention on the Sexual Lubrication Index
Findings from the meta-analysis of the effect of the intervention on the Sexual Lubrication Index

4.4. The Effects of Interventions on Orgasm in the Posttest

A meta-analysis of six studies involving 213 participants revealed an average effect of telemedicine interventions on orgasm after the intervention compared to before the intervention (33-37, 42). The heterogeneity value was 17.37% according to the Polycystic ovary syndrome calculation and Higgins classification, indicating low heterogeneity between the study results in the posttest (SMD = 0.40, 95% CI = -0.21, 0.58) (Figure 4).

Findings from the meta-analysis of the effect of the intervention on the Sexual Orgasm Index
Findings from the meta-analysis of the effect of the intervention on the Sexual Orgasm Index

4.5. Effects of Interventions on Pain in the Posttest

A meta-analysis of five studies involving 183 participants revealed a lower effect of telemedicine interventions on pain after the intervention compared to before the intervention (33-37). The heterogeneity value was 41.80% according to the I² calculation and Higgins classification, indicating moderate heterogeneity between the results of the studies in the posttest (SMD = 0.15, 95% CI = -0.10, 0.40) (Figure 5).

Findings from the meta-analysis of the effect of the intervention on the Sexual Pain Index
Findings from the meta-analysis of the effect of the intervention on the Sexual Pain Index

4.6. Effects of Interventions on Posttest Sexual Satisfaction

A meta-analysis of six studies involving 212 participants revealed a greater effect of telemedicine interventions on sexual satisfaction after the intervention compared to before the intervention (33-37, 42). The heterogeneity value was 46.49% according to the I² calculation and Higgins classification, indicating moderate heterogeneity between the study results in the posttest (SMD = 0.74, 95% CI = 0.48, 1) (Figure 6).

Findings from the meta-analysis of the effect of the intervention on the Sexual Satisfaction Index
Findings from the meta-analysis of the effect of the intervention on the Sexual Satisfaction Index

4.7. The Effects of Interventions on the Total Female Sexual Function Index Score in the Posttest

A meta-analysis of five studies involving 179 participants revealed a greater effect of telemedicine interventions on the FSFI after the intervention compared to before the intervention (SMD = 1.03, 95% CI = 0.49 to 1.58, P < 0.001). The heterogeneity value of 1.83%, according to the I² calculation and Higgins classification, indicated low heterogeneity between the study results in the posttest (Figure 7).

Findings from the meta-analysis of the effect of the intervention on the total Female Sexual Function Index (FSFI)
Findings from the meta-analysis of the effect of the intervention on the total Female Sexual Function Index (FSFI)

5. Discussion

This study assessed the effectiveness of telemedicine interventions in improving women's sexual function, as measured by the FSFI. The results indicated a statistically significant positive impact of telemedicine on sexual performance scores.

5.1. Heterogeneity and Potential Sources

The high heterogeneity observed among the included studies must be acknowledged, indicating variability in the effects of telemedicine interventions on women's sexual function across different factors. Here, we examine some potential sources contributing to this variation:

- Variations in telemedicine interventions: Differences in the design and delivery methods of telemedicine interventions may have varied among studies. Factors such as intervention format (individual vs. couple's therapy), duration, and therapist expertise could potentially influence outcomes.

- Heterogeneity in study populations: The characteristics of the women included in the studies may have differed. Variations in factors such as age, relationship status, specific sexual dysfunctions, and baseline sexual function scores (as assessed by FSFI) could account for the variability in the observed effects.

- Measurement instruments: While all studies utilized the FSFI, potential variations in how the instrument was administered or interpreted could contribute to heterogeneity.

Future research efforts should aim to standardize telemedicine interventions, thoroughly characterize study populations, and ensure consistent application of measurement tools to minimize heterogeneity and facilitate more robust comparisons across studies.

This systematic review and meta-analysis included six studies involving a total of 229 women. Of these, three studies employed a randomized controlled trial design (35-37), while the remaining three used a quasi-experimental approach (33, 34, 42). One study (37) required additional information for completeness. We contacted the corresponding author and successfully obtained the missing values for the FSFI scale dimensions.

The findings of this meta-analysis indicate that telemedicine approaches can enhance women's sexual function and overall FSFI scores (33-37, 42). These improvements are likely due to telemedicine's ability to increase women's knowledge, awareness, and positive attitudes toward sexual issues (27-32). By addressing spatial, geographical, and time limitations, as well as the lack of access to specialists and the high costs associated with face-to-face services, telemedicine interventions aim to reduce women's embarrassment and anxiety when discussing sexual problems (24-26). Such efforts are crucial for increasing women's acceptance and utilization of these services.

Research findings suggest that telemedicine is an effective approach for enhancing sexual desire, with varying impacts observed across different studies. The study conducted by Brotto et al. (34) reported the most significant impact, while the study by Hummel et al. (35) showed the least. This disparity may result from Hummel's focus on women recovering from breast cancer, who often experience body image distortions that could diminish the intervention's effect on sexual desire, despite its overall effectiveness. In contrast, Brotto and colleagues' study investigated the influence of mindfulness on women with colorectal cancer, revealing that mindfulness practices focusing on present-moment awareness and body acceptance positively affected sexual desire.

Research findings also illustrate the impact of telemedicine on sexual arousal across various studies. Some studies have highlighted that negative beliefs about sexual matters can adversely affect sexual desire in women (34). Informal counseling and training appear to positively influence women's sexual arousal by addressing and attempting to change these negative beliefs. Additionally, focusing on sexual behaviors and activities has been shown to enhance women's sexual arousal, as evidenced by several studies (34, 43, 44).

The meta-analysis indicated that the telemedicine approach has a positive, albeit moderate, effect on vaginal lubrication and the ability to reach orgasm. Many studies included in the analysis focused on women with cancer (33, 35, 37), who often experience sexual dysfunction due to factors such as PCOS, POI, hormonal imbalances, medications like sex hormone inhibitors or hormone therapy, antidepressants, body image concerns, and the impact of surgery and treatments on overall quality of life. While counseling and education may provide some benefit, the moderate impact of the intervention on vaginal lubrication and orgasm may be attributed to these underlying physical factors.

Nevertheless, the results indicated a positive but limited impact of the interventions on pain during intercourse. Brotto's study found that the intervention approach did not effectively alleviate pain during intercourse, resulting in less improvement in this domain compared to others (34). Similarly, Hucker and McCabe's study did not observe a significant reduction in pain during intercourse (36). Stephenson et al.'s study did not report specific findings on pain, which could potentially affect the overall outcomes of the meta-analysis (42). Furthermore, pain, along with issues like orgasm and vaginal lubrication, is strongly linked to physical factors (44-46).

This study demonstrates that telemedicine and online counseling significantly enhance women's sexual performance. These findings underscore the importance of leveraging modern technologies to provide counseling and educational services related to sexual health. They also highlight the necessity for further expansion and development of such services.

5.2. Limitations

This systematic review and meta-analysis have several limitations that should be considered. The relatively small number of identified studies (n = 6) restricts the generalizability of the findings. Additionally, the absence of blinding in all included studies introduces the potential for bias. Furthermore, the studies included varied in sample size, with some being relatively small. Future research could strengthen the evidence base by conducting high-quality RCTs with larger and more diverse participant groups. These RCTs should incorporate blinding procedures to minimize bias. Exploring the effectiveness of alternative interventions, such as mobile apps and other applications, alongside telemedicine approaches, would provide a more comprehensive understanding of treatment options for women's sexual health.

5.3. Conclusions

The findings of this study provide evidence supporting the use of telemedicine as a beneficial therapeutic strategy for enhancing sexual performance. Telemedicine appears to alleviate the challenges associated with face-to-face counseling and therapy. However, these studies primarily focused on specific groups facing physical challenges, such as cancer, diabetes, and kidney disease. It is important to address sexual problems and satisfaction in all couples, regardless of underlying health conditions. Therefore, further RCTs are warranted to strengthen the evidence base.

References

  • 1.

    Parish SJ, Hahn SR. Hypoactive Sexual Desire Disorder: A Review of Epidemiology, Biopsychology, Diagnosis, and Treatment. Sex Med Rev. 2016;4(2):103-20. [PubMed ID: 27872021]. https://doi.org/10.1016/j.sxmr.2015.11.009.

  • 2.

    Amin MA, Mozid NE, Ahmed SB, Sharmin S, Monju IH, Jhumur SS, et al. Status of female sexual dysfunction among postmenopausal women in Bangladesh. BMC Womens Health. 2022;22(1):401. [PubMed ID: 36195886]. [PubMed Central ID: PMC9533598]. https://doi.org/10.1186/s12905-022-01991-9.

  • 3.

    Krakowsky Y, Grober ED. A practical guide to female sexual dysfunction: An evidence-based review for physicians in Canada. Can Urol Assoc J. 2018;12(6):211-6. [PubMed ID: 29485038]. [PubMed Central ID: PMC5994984]. https://doi.org/10.5489/cuaj.4907.

  • 4.

    Shahhosseini Z, Gardeshi ZH, Pourasghar M, Salehi F. A review of affecting factors on sexual satisfaction in women. Mater Sociomed. 2014;26(6):378-81. [PubMed ID: 25685081]. [PubMed Central ID: PMC4314168]. https://doi.org/10.5455/msm.2014.26.378-381.

  • 5.

    Jaafarpour M, Khani A, Khajavikhan J, Suhrabi Z. [Female sexual dysfunction: prevalence and risk factors]. J Clin Diagn Res. 2013;7(12):2877-80. Persian. [PubMed ID: 24551663]. [PubMed Central ID: PMC3919309]. https://doi.org/10.7860/jcdr/2013/6813.3822.

  • 6.

    Cabral PU, Canario AC, Spyrides MH, Uchoa SA, Eleuterio JJ, Amaral RL, et al. [Influence of menopausal symptoms on sexual function in middle-aged women]. Rev Bras Ginecol Obstet. 2012;34(7):329-34. [PubMed ID: 22948506]. https://doi.org/10.1590/s0100-72032012000700007.

  • 7.

    Ghofranipour F, Aminshokravi F, Torkashvand R. [The Relationship Between Demographic Factors and Marital Satisfaction of Couples Intended to Divorce Referred to Family Judicial Complex in Borujerd County]. Iran J Health Educ Health Prom. 2017;5(1):43-50. Persian. https://doi.org/10.18869/acadpub.ihepsaj.5.1.43.

  • 8.

    Saminfar S, Vaziri S. The association of sexual dysfunction and sexual satisfaction with the mediating effect of sexual self-efficacy among married women in Tehran. Soc Health. 2019;6(4):397-405.

  • 9.

    Pascoal PM, Narciso Ide S, Pereira NM. What is sexual satisfaction? Thematic analysis of lay people's definitions. J Sex Res. 2014;51(1):22-30. [PubMed ID: 24070214]. https://doi.org/10.1080/00224499.2013.815149.

  • 10.

    Movahed M, Azizi T. [A study on the relationship between the sexual satisfaction of women in a married life and conflicts between spouses, among married women in Shiraz]. Woman Dev Politics. 2011;9(2):181-206. Persian.

  • 11.

    Pakniyat M, Roshan Chesli R. [predict marital satisfaction based on sensation seeking,intimacy,sexual function,personality characteristics in nurses]. Clin Psychol Pers. 2020;16(1):159-78. Persian. https://doi.org/10.22070/cpap.2020.2845.

  • 12.

    Kaabomeir N, Pirzadeh A. [Comparison of Marital Satisfaction, Intimacy and Sexual Function in Female Nurses with Fixed and Changing Shiftwork]. Iran J Ergonomics. 2020;8(3):59-69. Persian.

  • 13.

    Attaky A, Schepers J, Kok G, Dewitte M. The Role of Sexual Desire, Sexual Satisfaction, and Relationship Satisfaction in the Sexual Function of Arab Couples Living in Saudi Arabia. Sex Med. 2021;9(2):100303. [PubMed ID: 33529812]. [PubMed Central ID: PMC8072168]. https://doi.org/10.1016/j.esxm.2020.100303.

  • 14.

    Neijenhuijs KI, Hooghiemstra N, Holtmaat K, Aaronson NK, Groenvold M, Holzner B, et al. The Female Sexual Function Index (FSFI)-A Systematic Review of Measurement Properties. J Sex Med. 2019;16(5):640-60. [PubMed ID: 30956110]. https://doi.org/10.1016/j.jsxm.2019.03.001.

  • 15.

    Fakhri A, Pakpour AH, Burri A, Morshedi H, Zeidi IM. The Female Sexual Function Index: translation and validation of an Iranian version. J Sex Med. 2012;9(2):514-23. [PubMed ID: 22146084]. https://doi.org/10.1111/j.1743-6109.2011.02553.x.

  • 16.

    Heidari M, Ghodusi M, Rezaei P, Kabirian Abyaneh S, Sureshjani EH, Sheikhi RA. Sexual Function and Factors Affecting Menopause: A Systematic Review. J Menopausal Med. 2019;25(1):15-27. [PubMed ID: 31080785]. [PubMed Central ID: PMC6487288]. https://doi.org/10.6118/jmm.2019.25.1.15.

  • 17.

    Rezaei N, Azadi A, Sayehmiri K, Valizadeh R. Postpartum Sexual Functioning and Its Predicting Factors among Iranian Women. Malays J Med Sci. 2017;24(1):94-103. [PubMed ID: 28381932]. [PubMed Central ID: PMC5346007]. https://doi.org/10.21315/mjms2017.24.1.10.

  • 18.

    Chedraui P, Perez-Lopez FR, Sanchez H, Aguirre W, Martinez N, Miranda O, et al. Assessment of sexual function of mid-aged Ecuadorian women with the 6-item Female Sexual Function Index. Maturitas. 2012;71(4):407-12. [PubMed ID: 22342384]. https://doi.org/10.1016/j.maturitas.2012.01.013.

  • 19.

    Torshizi M, Sharifzadeh G, Saeedi Bazkhane E. [Evaluation of Sexual Quality of Life and its Relationship with Marital Satisfaction and Emotional Divorce in Hemodialysis Patients in Birjand, 2017]. J Jiroft Univ Med Sci. 2019;5(2):35-45. Persian.

  • 20.

    Modiri F, Ghazi Tabatabaie M. [A Study on the Effects of the Quality of Marital Life on the Childbearing Intention]. Soc Soc Institutions. 2019;5(12):73-94. Persian.

  • 21.

    Aghajanian A, Thompson V. Recent divorce trend in Iran. Journal of Divorce & Remarriage. 2013;54(2):112-25.

  • 22.

    Masoudinia Z, Bankipoorfard AH, Gholizadeh A. [Qualitative Study of the Experiences of Divorced Men and Women of Cultural Factors Inducement Divorce]. J Appl Sociol. 2015;26(1):39-64. Persian.

  • 23.

    Nuwamanya E, Nalwanga R, Nuwasiima A, Babigumira JU, Asiimwe FT, Babigumira JB, et al. Effectiveness of a mobile phone application to increase access to sexual and reproductive health information, goods, and services among university students in Uganda: a randomized controlled trial. Contracept Reprod Med. 2020;5(1):31. [PubMed ID: 33292724]. [PubMed Central ID: PMC7603751]. https://doi.org/10.1186/s40834-020-00134-5.

  • 24.

    Hartzler AL, Venkatakrishnan A, Mohan S, Silva M, Lozano P, Ralston JD, et al. Acceptability of a team-based mobile health (mHealth) application for lifestyle self-management in individuals with chronic illnesses. Annu Int Conf IEEE Eng Med Biol Soc. 2016;2016:3277-81. [PubMed ID: 28269007]. https://doi.org/10.1109/EMBC.2016.7591428.

  • 25.

    Gkatzidou V, Hone K, Sutcliffe L, Gibbs J, Sadiq ST, Szczepura A, et al. User interface design for mobile-based sexual health interventions for young people: design recommendations from a qualitative study on an online Chlamydia clinical care pathway. BMC Med Inform Decis Mak. 2015;15:72. [PubMed ID: 26307056]. [PubMed Central ID: PMC4549868]. https://doi.org/10.1186/s12911-015-0197-8.

  • 26.

    Richman AR, Webb MC, Brinkley J, Martin RJ. Sexual behaviour and interest in using a sexual health mobile app to help improve and manage college students' sexual health. Sex Educ. 2014;14(3):310-22.

  • 27.

    Masoomi SZ, Nejati B, Mortazavi A, Parsa P, Karami M. [Investigating the effects of sexual consultation on marital satisfaction among the pregnant women coming to the health centers in the city of Malayer in the year 1394]. Avicenna J Nurs Midwifery Care. 2016;24(4):256-63. Persian. https://doi.org/10.21859/nmj-24046.

  • 28.

    Zarei E, Borumand R, Sadeghifard M, Najaripourian S, Askari M. [Effectiveness of group counseiing based on choice theory on increasing intimacy and marital satisfaction and reducing marital conflicts in married women. Hormozgan Med J Vol. 2017;21(4):250-9. Persian.

  • 29.

    Karimi A, Dadgar S, Afiat M, Rahimi N. [The Effect of Sexual Health Education on Couples’ Sexual Satisfaction]. Iran J Obstetrics, Gynecol Infertility. 2013;15(42):23-30. Persian. https://doi.org/10.22038/ijogi.2013.606.

  • 30.

    Salari Hadki M, Tafazoli M, Tehrani H, Asghari Ebrahimabad MJ. [Impact of group sexual counseling based on the self-determination theory on women’s sexual function]. Journal of Hayat. 2021;27(3):245-61. Persian.

  • 31.

    Santos Silva IM, Paula Pinto M, Goncalves D. Educational Programs and Sexual Counselling for Postmenopausal Sexual Dysfunction: A Systematic Review and Meta-Analysis. J Sex Med. 2022;19(1):54-63. [PubMed ID: 34758929]. https://doi.org/10.1016/j.jsxm.2021.09.017.

  • 32.

    Murphy PJ, Mc Sharry J, Casey D, Doherty S, Gillespie P, Jaarsma T, et al. Sexual counselling for patients with cardiovascular disease: protocol for a pilot study of the CHARMS sexual counselling intervention. BMJ Open. 2016;6(6):e011219. [PubMed ID: 27342240]. [PubMed Central ID: PMC4932312]. https://doi.org/10.1136/bmjopen-2016-011219.

  • 33.

    Brotto LA, Dunkley CR, Breckon E, Carter J, Brown C, Daniluk J, et al. Integrating Quantitative and Qualitative Methods to Evaluate an Online Psychoeducational Program for Sexual Difficulties in Colorectal and Gynecologic Cancer Survivors. J Sex Marital Ther. 2017;43(7):645-62. [PubMed ID: 27592509]. https://doi.org/10.1080/0092623X.2016.1230805.

  • 34.

    Brotto LA, Stephenson KR, Zippan N. Feasibility of an Online Mindfulness-Based Intervention for Women with Sexual Interest/Arousal Disorder. Mindfulness (N Y). 2022;13(3):647-59. [PubMed ID: 35035598]. [PubMed Central ID: PMC8750367]. https://doi.org/10.1007/s12671-021-01820-4.

  • 35.

    Hummel SB, van Lankveld J, Oldenburg HSA, Hahn DEE, Kieffer JM, Gerritsma MA, et al. Efficacy of Internet-Based Cognitive Behavioral Therapy in Improving Sexual Functioning of Breast Cancer Survivors: Results of a Randomized Controlled Trial. J Clin Oncol. 2017;35(12):1328-40. [PubMed ID: 28240966]. https://doi.org/10.1200/JCO.2016.69.6021.

  • 36.

    Hucker A, McCabe MP. Incorporating Mindfulness and Chat Groups Into an Online Cognitive Behavioral Therapy for Mixed Female Sexual Problems. J Sex Res. 2015;52(6):627-39. [PubMed ID: 24742343]. https://doi.org/10.1080/00224499.2014.888388.

  • 37.

    Hamidi F, Elyasi F, Mousavinasab SN, Ghasemi A, Keshavarz Z, Shahhosseini Z. Effect of a social network-based supportive program (WhatsApp) on the sexual self-concept of women with breast cancer: A single-blind-randomized controlled trial. Palliat Support Care. 2023;21(1):27-37. [PubMed ID: 35257652]. https://doi.org/10.1017/S1478951522000220.

  • 38.

    Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst Rev. 2021;10(1):89. [PubMed ID: 33781348]. [PubMed Central ID: PMC8008539]. https://doi.org/10.1186/s13643-021-01626-4.

  • 39.

    Clark HD, Wells GA, Huet C, McAlister FA, Salmi LR, Fergusson D, et al. Assessing the quality of randomized trials: reliability of the Jadad scale. Control Clin Trials. 1999;20(5):448-52. [PubMed ID: 10503804]. https://doi.org/10.1016/s0197-2456(99)00026-4.

  • 40.

    Cummings P. Arguments for and against standardized mean differences (effect sizes). Arch Pediatr Adolesc Med. 2011;165(7):592-6. [PubMed ID: 21727271]. https://doi.org/10.1001/archpediatrics.2011.97.

  • 41.

    Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539-58. [PubMed ID: 12111919]. https://doi.org/10.1002/sim.1186.

  • 42.

    Stephenson KR, Latimer SRE, Zippan NL, Brotto LA. History of Sexual Assault as a Predictor of Response to a Self-Guided Online Program for Sexual Desire and Arousal Difficulties in Women. Arch Sex Behav. 2023;52(8):3379-91. [PubMed ID: 37697093]. https://doi.org/10.1007/s10508-023-02685-5.

  • 43.

    Baron RH, Kelvin JF, Bookbinder M, Cramer L, Borgen PI, Thaler HT. Patients' sensations after breast cancer surgery: A pilot study. Cancer Pract. 2000;8(5):215-22. [PubMed ID: 11898233]. https://doi.org/10.1046/j.1523-5394.2000.85005.x.

  • 44.

    Hawkins Y, Ussher J, Gilbert E, Perz J, Sandoval M, Sundquist K. Changes in sexuality and intimacy after the diagnosis and treatment of cancer: the experience of partners in a sexual relationship with a person with cancer. Cancer Nurs. 2009;32(4):271-80. [PubMed ID: 19444088]. https://doi.org/10.1097/NCC.0b013e31819b5a93.

  • 45.

    Esmat Hosseini S, Ilkhani M, Rohani C, Nikbakht Nasrabadi A, Ghanei Gheshlagh R, Moini A. Prevalence of sexual dysfunction in women with cancer: A systematic review and meta-analysis. Int J Reprod Biomed. 2022;20(1):1-12. [PubMed ID: 35308323]. [PubMed Central ID: PMC8902793]. https://doi.org/10.18502/ijrm.v20i1.10403.

  • 46.

    Febrina F, Triyoga IF, White M, Marino JL, Peate M. Efficacy of interventions to manage sexual dysfunction in women with cancer: a systematic review. Menopause. 2022;29(5):609-26. [PubMed ID: 35486951]. https://doi.org/10.1097/GME.0000000000001953.