Exploring Service Users’ Experiences of a Community-Based Intervention to Improve Follow-Up at Bharatpur Eye Hospital in Nepal: Qualitative Study
Notice bibliographique
Résumé
Background: Follow-up to eye care services for children, especially in the context of Nepal, is essential for ensuring a continuum of care. Hence, as a continued effort, we designed this study to explore the service users' experience of a community-based intervention to improve follow-up at Bharatpur Eye Hospital (BEH) in Nepal. Objective: This study aimed to explore service users' experiences and perceptions of the community-based follow-up intervention for eye care services implemented by BEH in Nepal. Methods: A qualitative study using an in-depth interview approach was used. Participants were purposively selected for this research study. Participants who were part of a quasi-experimental study conducted to improve follow-up services in BEH and their service catchment area were chosen. Participants who had not attended even a single follow-up visit and participants who attended at least one follow-up were recruited for this qualitative study. Based on the distance from the base hospital and the follow-up status, 65 participants were initially found eligible for the qualitative study. However, only 17 participants were available and consented. Topic guides were developed for the purpose of in-depth interviews specifically for participants who had not attended even the first follow-up visits and those who attended at least one follow-up visit. A total of 2 ophthalmic assistants, who were not a part of the main intervention study, conducted the interviews. Results: In total, 17 service users whose children were receiving services from BEH participated in the qualitative study. We identified 4 key themes that provided invaluable information about the barriers and facilitators to follow-up as well as the experiences (positive or negative) of the participants that need to be considered in any future initiatives to improve follow-up in Nepal. Conclusions: This study highlights the need for systematic development of interventions to address the unmet need for eye care services in the community through innovative, scalable solutions. As a next step, the BEH team will be working to develop such scalable solutions for Nepal. Such interventions will also need to be optimized for similar settings and countries to meet the goals of universal health coverage, vision 2030, and sustainable development goals worldwide.
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Prédiction machine sur la base complète
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».