Quality assessment in primary health care: Adolescent and Youth Friendly Service, a Mozambican case study
Notice bibliographique
Résumé
INTRODUCTION: despite the Mozambican Ministry of Health's efforts to deliver family planning to all girls of childbearing age, the adolescent pregnancy rate remains high. The Adolescent and Youth Friendly Service (AYFS), integrated into overall primary health care programs throughout the country, aims to reverse this situation. Our study objective was to assess this health care service's quality in its location in Marrere Health Centre, Nampula, northern Mozambique, using clients' perspective. METHODS: we implemented a descriptive cross-sectional quantitative study sampling 124 individuals, who had recently accessed the AYFS at Marrere Health Centre. Data were collected through a questionnaire using a 5-point Likert scale in questions regarding satisfaction level (i.e. always, most times, sometimes, few times, never) and additional open answer questions to gain greater specific understanding. RESULTS: a total of 126 users of the AYFS were evaluated, all from the Emacua ethnic-linguistic group. 85 (67%) were adolescents (<19 years), 78.2% female. The mean age was 17.6 years. We found an average of 0.54 pregnancies per woman and 87 participants (69%) never had a pregnancy; of 39 (31%) who had been pregnant, 17 (44%) were able to report the date of the first prenatal visit, on average performed at week 16 (2nd trimester), though with 9 (53%) having performed it during the first trimester. Spontaneous and induced abortions were reported respectively in 4 and 34 cases, respectively, and none with adolescents. The "overall satisfaction" rate was more frequent in both groups, being answered by 93.8% of youth and adults (>= 19 years) and 72.0% of adolescents, a statistically significant difference between the two groups (p <0.05). CONCLUSION: while most users are satisfied with the services there was, however, some sharp criticism. Health professionals' practice with the protocol varied, and there were significant deficiencies in information and communication with users. Open communication within families and information reinforcement about sexual and reproductive health and male participation in family planning were found to be in need of strengthening. Our recommendations include reinforcing health professional's training to protect adolescents and young people' sexual health, an important strategy in primary health care to achieve universal health coverage.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».