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Enregistrement W4385843588 · doi:10.2196/49009

An Implementation Pilot of Web-Based Self-Training Programs on Sexual Dysfunctions in the Dutch Public Sexual Health Setting: Mixed Methods Study

2023· article· en· W4385843588 sur OpenAlexvenueno aff
Filippo Zimbile, Titia F. Beek, Silke David, Rik Crutzen

Notice bibliographique

RevueJMIR Formative Research · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueSexual function and dysfunction studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésThematic analysisEmbarrassmentPsychological interventionDescriptive statisticsPsychologyReproductive healthHuman sexualityClinical psychologyApplied psychologyPublic healthQualitative researchMedicineNursingSocial psychologyPopulationPsychiatryEnvironmental health

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Web-based sexual health interventions may be more acceptable to people compared with face-to-face support, given the stigma and embarrassment often associated with sexual problems. The Dutch public sexual health clinics (SHCs) conducted an implementation pilot with 4 web-based self-training programs on sexual dysfunctions (WSTPs) for young people. In addition to a basic sexuality program, the WSTPs focused on the following complaints: pain during intercourse, premature ejaculation, and no sex drive. OBJECTIVE: This study aims to gain insight into the potential reach of the freely offered WSTPs; use, acceptance, evaluation, and perceived impact of the WSTPs by young people; and evaluation and acceptance of the WSTPs by nurses of the SHCs. METHODS: A quantitative baseline measurement (BM) and a follow-up measurement (FM) were conducted among the users. In addition, qualitative data were gathered through video interviews with a sample of respondents of the FM and nurses of the SHCs to gain more in-depth insights into their assessment of the WSTPs. Participants were recruited via social media, posters, and referrals by nurses of the SHCs. Quantitative data were analyzed using descriptive statistics. Independent 2-tailed t tests and one-way independent ANOVAs were used to compare the scores between subgroups based on background characteristics. Dependent 2-tailed t tests were used to assess the possible changes between BM and FM. The interviews were analyzed using a thematic analysis. RESULTS: A total of 1028 young people (aged 16-24 y) completed the BM, 666 started with 1 of the WSTPs, and 104 participants completed the FM. In addition, 8 users and 8 nurses were interviewed. Of the participants who completed the BM, 87.74% (902/1028) experienced moderate (411/1028, 39.98%) to high (491/1028, 47.76%) severity of complaints, of which 20.43% (210/1028) had had them for >1 year and 27.82% (286/1028) even for ≥2 years, and 38.91% (400/1028) were dissatisfied with their sex lives. Only 8.75% (90/1028) had sought professional help in the past 2 years. At FM, users rated satisfaction with their sex life more positively than they did at BM, and they experienced less discomfort from their complaints. The overall rating was positive, with a mean report grade of 7.3 (SD 1.45; on a 10-point scale). Anonymity, clear information and explanation, and practical exercises are indicated as strengths of the WSTPs, leading to more understanding and normalization. Nurses appreciate the high quality of information and accessibility of the WSTPs. They consider them as a valuable addition to the consultation hours. CONCLUSIONS: WSTPs can reach a large number of young people with sexual problems who are less likely to seek professional help. This can result in an improved understanding of their issues, a decrease in complaints, and reduced barriers to communicating with a partner or professional.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,014
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,559
Score d'incertitude au seuil0,606

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0140,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,004
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,360
Tête enseignante GPT0,570
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2023
Routes d'admission1
Résumé présentoui

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