| Literature DB >> 32919927 |
Natasha Zippan1, Kyle R Stephenson2, Lori A Brotto3.
Abstract
BACKGROUND: Low sexual desire and arousal are the most common sexual concerns in women, but most women lack access to effective treatment such as cognitive behavioral therapy. Web-based psychological interventions, which are economical, private, easily accessible, and potentially effective, may increase the reach of evidence-based treatment. AIM: To determine the feasibility of translating cognitive behavioral therapy for the most common female sexual dysfunction, Female Sexual Interest/Arousal Disorder, into an online format. The present study examined the feasibility of an introductory psychoeducational module of eSense, an online program currently being developed that is based on existing empirically supported in-person treatments, which delivers content to the user in a visually appealing and interactive manner.Entities:
Keywords: CBT; Female Sexual Dysfunction; Internet Interventions; Online Therapy; Psychoeducation; Sexual Interest/Arousal Disorder; Telehealth; eHealth
Year: 2020 PMID: 32919927 PMCID: PMC7480645 DOI: 10.1016/j.jsxm.2020.07.086
Source DB: PubMed Journal: J Sex Med ISSN: 1743-6095 Impact factor: 3.802
Figure 1Screenshots of eSense. Figure 1 is available in color online at www.jsm.jsexmed.org.
Semistructured interview questions and Likert items regarding usability of e-Sense (in-laboratory session)
| Factor | Interview questions |
|---|---|
| Overall impressions of treatment section | |
| Relevancy of content | |
| Organization of content | |
| Website functionality | |
| Clarity of homework instructions | |
| Learning and final feedback |
Participant Demographic Information
| Characteristics | |
|---|---|
| Age ( | 31.94 (7.30) |
| Gender identity | |
| Woman | 15 (88.2%) |
| Non-binary | 1 (5.9%) |
| Prefer not to answer | 1 (5.9%) |
| Sexual orientation | |
| Heterosexual | 7 (41.2%) |
| Bisexual | 6 (35.3%) |
| Demisexual | 2 (11.8%) |
| Pansexual | 1 (5.9%) |
| Other | 1 (5.9%) |
| Self-identified ethnicity | |
| Arab | 1 (5.9%) |
| Chinese | 3 (17.6%) |
| Hispanic/Latina | 2 (11.8%) |
| Indigenous (First Nations) | 1 (5.9%) |
| South Asian | 1 (5.9%) |
| Caucasian | 10 (58.8%) |
| Education | |
| Attended some college | 2 (11.8%) |
| Graduated 2-y college | 2 (11.8%) |
| Graduated 4-y college | 5 (29.4%) |
| Postgraduate degree | 8 (47.1%) |
| Occupational status | |
| Employed full-time | 11 (64.7%) |
| Employed part-time | 4 (23.5%) |
| Self-employed | 4 (23.5%) |
| Unemployed | 2 (11.8%) |
| On disability | 2 (11.8%) |
| Student | 2 (11.8%) |
| Religious affiliation | |
| None | 11 (64.7%) |
| Christian (Protestant) | 2 (11.8%) |
| Christian (Catholic) | 2 (11.8%) |
| Muslim | 1 (5.9%) |
| Other | 1 (5.9%) |
| Relationship status | |
| Single | 4 (23.5%) |
| Dating | 2 (11.8%) |
| Married | 7 (41.2%) |
| Common-law | 4 (23.5%) |
| Other | 1 (5.9%) |
Pre-intervention (Pre) and post-intervention (Post) measures of sexual desire, arousal, distress, and satisfaction
| Variable | Pre | Post | η | Cohen's | ||||
|---|---|---|---|---|---|---|---|---|
| Sexual desire | 3.53 | 1.91 | 3.75 | 1.77 | 2.05 (1, 15) | 0.17 | 0.12 | 0.74 |
| Sexual desire ITT | 4.12 | 2.29 | 2.04 (1, 16) | 0.17 | 0.11 | 0.7 | ||
| Sexual arousal | 10.81 | 4.37 | 13.11 | 5.04 | 6.24 (1, 8) | 0.44 | ||
| Sexual arousal ITT | 12.31 | 5.17 | 4.91 (1, 15) | 0.25 | ||||
| Sexual distress | 31.35 | 9.01 | 29.38 | 8.78 | 0.63 (1, 15) | 0.44 | 0.04 | 0.41 |
| Sexual distress ITT | 29.82 | 8.70 | 0.63 (1, 16) | 0.44 | 0.04 | 0.41 | ||
| Sexual satisfaction | 1.88 | 0.93 | 2.56 | 1.15 | 7.74 (1, 15) | 0.34 | ||
| Sexual satisfaction ITT | 2.71 | 1.26 | 7.54 (1, 16) | 0.32 | ||||
ITT = intent-to-treat.
Bolding indicates effects that were statistically significant.
Possible ranges: sexual desire, 2–10; sexual arousal, 4–20; sexual distress, 0–52; sexual satisfaction, 1–5.
Data presented are means and SDs.