Implementation of the infection prevention and control core components at the national level: a global situational analysis
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Résumé
BackgroundStrengthening infection prevention and control (IPC) is essential to combat healthcare-associated infections, antimicrobial resistance, and to prevent and respond to outbreaks.AimTo assess national IPC programmes worldwide according to the World Health Organization (WHO) IPC core components.MethodsBetween June 1st, 2017 and November 30th, 2018, a multi-country, cross-sectional study was conducted, based on semi-structured interviews with national IPC focal points of countries that pledged to the WHO ‘Clean Care is Safer Care’ challenge. Results and differences between regions and national income levels were summarized using descriptive statistics.FindingsEighty-eight of 103 (85.4%) eligible countries participated; 22.7% were low-income, 19.3% lower-middle-income, 23.9% upper-middle-income, and 34.1% high-income economies. A national IPC programme existed in 62.5%, but only 26.1% had a dedicated budget. National guidelines were available in 67.0%, but only 36.4% and 21.6% of countries had an implementation strategy and evaluated compliance with guidelines, respectively. Undergraduate IPC curriculum and in-service and postgraduate IPC training were reported by 35.2%, 54.5%, and 42% of countries, respectively. Healthcare-associated infection surveillance was reported by 46.6% of countries, with significant differences ranging from 83.3% (high-income) to zero (low-income) (P < 0.001); monitoring and feedback of IPC indicators was reported by 65.9%. Only 12.5% of countries had all core components in place.ConclusionMost countries have IPC programme and guidelines, but many less have invested adequate resources and translated them in implementation and monitoring, particularly in low-income countries. Leadership support at the national and global level is needed to achieve implementation of the core components in all countries. Strengthening infection prevention and control (IPC) is essential to combat healthcare-associated infections, antimicrobial resistance, and to prevent and respond to outbreaks. To assess national IPC programmes worldwide according to the World Health Organization (WHO) IPC core components. Between June 1st, 2017 and November 30th, 2018, a multi-country, cross-sectional study was conducted, based on semi-structured interviews with national IPC focal points of countries that pledged to the WHO ‘Clean Care is Safer Care’ challenge. Results and differences between regions and national income levels were summarized using descriptive statistics. Eighty-eight of 103 (85.4%) eligible countries participated; 22.7% were low-income, 19.3% lower-middle-income, 23.9% upper-middle-income, and 34.1% high-income economies. A national IPC programme existed in 62.5%, but only 26.1% had a dedicated budget. National guidelines were available in 67.0%, but only 36.4% and 21.6% of countries had an implementation strategy and evaluated compliance with guidelines, respectively. Undergraduate IPC curriculum and in-service and postgraduate IPC training were reported by 35.2%, 54.5%, and 42% of countries, respectively. Healthcare-associated infection surveillance was reported by 46.6% of countries, with significant differences ranging from 83.3% (high-income) to zero (low-income) (P < 0.001); monitoring and feedback of IPC indicators was reported by 65.9%. Only 12.5% of countries had all core components in place. Most countries have IPC programme and guidelines, but many less have invested adequate resources and translated them in implementation and monitoring, particularly in low-income countries. Leadership support at the national and global level is needed to achieve implementation of the core components in all countries.
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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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,000 |
| 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 découle