Does contracting of health care in Afghanistan work? Public and service-users' perceptions and experience
Notice bibliographique
Résumé
BACKGROUND: In rebuilding devastated health services, the government of Afghanistan has provided access to basic services mainly by contracting with non-government organisations (NGOs), and more recently the Strengthening Mechanism (SM) of contracting with Provincial Health Offices. Community-based information about the public's views and experience of health services is scarce. METHODS: Field teams visited households in a stratified random sample of 30 communities in two districts in Kabul province, with health services mainly provided either by an NGO or through the SM and administered a questionnaire about household views, use, and experience of health services, including payments for services and corruption. They later discussed the findings with separate community focus groups of men and women. We calculated weighted frequencies of views and experience of services and multivariate analysis examined the related factors. RESULTS: The survey covered 3283 households including 2845 recent health service users. Some 42% of households in the SM district and 57% in the NGO district rated available health services as good. Some 63% of households in the SM district (adjacent to Kabul) and 93% in the NGO district ordinarily used government health facilities. Service users rated private facilities more positively than government facilities. Government service users were more satisfied in urban facilities, if the household head was not educated, if they had enough food in the last week, and if they waited less than 30 minutes. Many households were unwilling to comment on corruption in health services; 15% in the SM district and 26% in the NGO district reported having been asked for an unofficial payment. Despite a policy of free services, one in seven users paid for treatment in government facilities, and three in four paid for medicine outside the facilities. Focus groups confirmed people knew payments were unofficial; they were afraid to talk about corruption. CONCLUSIONS: Households used government health services but preferred private services. The experience of service users was similar in the SM and NGO districts. People made unofficial payments in government facilities, whether SM or NGO run. Tackling corruption in health services is an important part of anti-corruption measures in Afghanistan.
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Comment cette classification a été obtenuedéplier
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 | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».