This tool details the different parts of the partograph and how to use it to monitor, alert or trigger action. Several case studies are provided.
This tool details the different parts of the partograph and how to use it to monitor, alert or trigger action. Several case studies are provided.
This online guide presents evidence-based recommendations on the optimization of the distribution of tasks and responsibilities among cadres of health workers, in order to facilitate universal access to key, effective maternal and newborn interventions. These recommendations are intended for health policymakers, managers and other stakeholders at a regional, national and international level.
This guide presents evidence-based recommendations on the optimization of the distribution of tasks and responsibilities among cadres of health workers, in order to facilitate universal access to key, effective maternal and newborn interventions. These recommendations are intended for health policymakers, managers and other stakeholders at a regional, national and international level. A summary of key cross-cutting factors when implementing task shifting programmes is also provided.
Lot Quality Assurance S ampling (LQAS) est une méthode qui permet d’évaluer un programme en analysant les données recueillies auprès d’un petit échantillon, développée à l’origine pour des contrôles de qualité dans l’industrie. C’est un outil de gestion pratique pour mener des enquêtes de base et suivre les services et les besoins de santé. Le récapitulatif de résultats furnit un modèle pour présenter les résultats des questionnaires.
Lot Quality Assurance Sampling (LQAS) is a method for assessing a program by analysing the data produced by a small sample, originally developed for industrial quality control. It is a practical management tool for conducting baseline surveys and monitoring health services and health needs. The summary sheet can be used to show results from the questionnaires. The questionnaires are modular so they can be easily adapted to project requirements.
Lot Quality Assurance S ampling (LQAS) est une méthode qui permet d’évaluer un programme en analysant les données recueillies auprès d’un petit échantillon, développée à l’origine pour des contrôles de qualité dans l’industrie. C’est un outil de gestion pratique pour mener des enquêtes de base et suivre les services et les besoins de santé. Le formulaire de résultats fournit un modèle de recueil des résultats des questionnaires.
Lot Quality Assurance Sampling (LQAS) is a method for assessing a program by analysing the data produced by a small sample, originally developed for industrial quality control. It is a practical management tool for conducting baseline surveys and monitoring health services and health needs. The resulsts sheet provides a template for gathering answers from the questionnaires. The questionnaires are modular so they can be easily adapted to project requirements.
Lot Quality Assurance Sampling (LQAS) is a method for assessing a program by analysing the data produced by a small sample, originally developed for industrial quality control. It is a practical management tool for conducting baseline surveys and monitoring health services and health needs. The questionnaires are modular so they can be easily adapted to project requirements.
Lot Quality Assurance S ampling (LQAS) est une méthode qui permet d’évaluer un programme en analysant les données recueillies auprès d’un petit échantillon, développée à l’origine pour des contrôles de qualité dans l’industrie. C’est un outil de gestion pratique pour mener des enquêtes de base et suivre les services et les besoins de santé. Les questionnaires sont modulables de façon à pouvoir être adaptés facilement selon les projets.
Lot Quality Assurance Sampling (LQAS) is a method for assessing a program by analysing the data produced by a small sample, originally developed for industrial quality control. It is a practical management tool for conducting baseline surveys and monitoring health services and health needs. The questionnaires are modular so they can be easily adapted to project requirements.