Clinicians’ Perspectives and Proposed Solutions to Improve Contraceptive Counseling in the United States: Qualitative Semistructured Interview Study With Clinicians From the Society of Family Planning
Notice bibliographique
Résumé
BACKGROUND: Contraceptive care is a key element of reproductive health, yet only 12%-30% of women report being able to access and receive the information they need to make these complex, personal health care decisions. Current guidelines recommend implementing shared decision-making approaches; and tools such as patient decision aid (PtDA) applications have been proposed to improve patients' access to information, contraceptive knowledge, decisional conflict, and engagement in decision-making and contraception use. To inform the design of meaningful, effective, elegant, and feasible PtDA applications, studies are needed of all users' current experiences, needs, and barriers. While multiple studies have explored patients' experiences, needs, and barriers, little is known about clinicians' experiences, perspectives, and barriers to delivering contraceptive counseling. OBJECTIVE: This study focused on assessing clinicians' experiences, including their perspectives of patients' needs and barriers. It also explored clinicians' suggestions for improving contraceptive counseling and the feasibility of a contraceptive PtDA. METHODS: Following the decisional needs assessment approach, we conducted semistructured interviews with clinicians recruited from the Society of Family Planning. The Ottawa Decision Support Framework informed the interview guide and initial codebook, with a specific focus on decision support and decisional needs as key elements that should be assessed from the clinicians' perspective. An inductive content approach was used to analyze data and identify primary themes and suggestions for improvement. RESULTS: Fifteen clinicians (12 medical doctors and 3 nurse practitioners) participated, with an average of 19 years of experience in multiple regions of the United States. Analyses identified 3 primary barriers to the provision of quality contraceptive counseling: gaps in patients' underlying sexual health knowledge, biases that impede decision-making, and time constraints. All clinicians supported the development of contraceptive PtDAs as a feasible solution to these main barriers. Multiple suggestions for improvement were provided, including clinician- and system-level training, tools, and changes that could support successful implementation. CONCLUSIONS: Clinicians and developers interested in improving contraceptive counseling and decision-making may wish to incorporate approaches that assess and address upstream factors, such as sexual health knowledge and existing heuristics and biases. Clinical leaders and administrators may also wish to prioritize solutions that improve equity and accessibility, including PtDAs designed to provide education and support in advance of the time-constrained consultations, and strategic training opportunities that support cultural awareness and shared decision-making skills. Future studies can then explore whether well-designed, user-centered shared decision-making programs lead to successful and sustainable uptake and improve patients' reproductive health contraceptive decision-making.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,020 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,009 | 0,006 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».