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Approches techniques de renforcement de la gestion du système d’information sanitaire de routine (SISR) de Guinée

Approches techniques de renforcement de la gestion du système d’information sanitaire de routine (SISR) de GuinéeUn système d’information sanitaire robuste favorise des prises de décision éclairées. Quelles stratégies ont été utilisées pour le renforcement du SISR ? Les stratégies reposaient sur l’engagement des partenaires (cartographie et matrices des responsabilités), le renforcement du savoir-faire des acteurs nationaux et la mise en place d’un mécanisme de coordination des interventions. Qu’est ce qui a changé ? Les composantes du système d’information sanitaire sont en place pour la coordination des interventions. Tous les acteurs du SISR savent comment réaliser et maintenir le fonctionnement du SISR, tout en assurant que le SISR est à même de répondre aux questions de santé qui se posent. Les outils appropriés ont été développés et mis à la disposition des acteurs.

A robust health information system promotes enlightened decision-making. What strategies have been used to strengthen Guinea’s routine health information system (RHIS)? The strategies were based on the commitment of partners, strengthening the know-how of national actors, and setting up a mechanism for coordinating interventions. What has changed? The components of the health information system are in place for the coordination of interventions. All actors in the RHIS know how to achieve and maintain system functions, while ensuring that the RHIS is able to respond to health issues that arise. Appropriate tools have been developed and made available to stakeholders.

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Evaluation of the Partnership for HIV-Free Survival Country Assessment: South Africa

Evaluation of the Partnership for HIV-Free Survival Country Assessment: South AfricaThe Partnership for HIV-Free Survival (PHFS) was a six-country initiative implemented between 2012–2016. It was designed to reduce mother-to-child transmission of HIV and increase child survival.

This document focuses on seven components of PHFS in South Africa highlighted by a legacy evaluation of partnership activities. The findings are based largely on a rapid assessment conducted by MEASURE Evaluation in South Africa in January 2018. The core components follow:

  • Government engagement
  • Continuous quality improvement
  • Mentoring
  • Knowledge exchange
  • Integration of services
  • Mother-baby pairs
  • Nutrition

The assessment was conducted by MEASURE Evaluation, which is funded by the United States Agency for International Development (USAID) and PEPFAR. Findings from assessments of PHFS in other participating countries are available on MEASURE Evaluation’s website, here: https://www.measureevaluation.org/our-work/hiv-aids/evaluations-of-the-who-pepfar-partnership-for-hiv-free-survival-1

Using DHIS 2 Software to Track Prevention of Mother-to-Child Transmission of HIV: Guidance

Using DHIS 2 Software to Track Prevention of Mother-to-Child Transmission of HIV: GuidanceMEASURE Evaluation has published comprehensive guidance for developing an electronic solution using DHIS 2 to track patients across the prevention of mother-to-child transmission (PMTCT) of HIV continuum of care. Our goal is to increase retention of mothers and their infants through the pregnancy and breastfeeding periods, and to improve linkages and referrals across services. This guidance is customized to address the complexities related to the PMTCT continuum of care, but the approaches for planning, designing, and configuring a patient tracker in DHIS 2 apply to any health program. The guidance includes the following:

  • Instructions for conducting an initial assessment of the environment
  • Description of the decisions that must be made during the planning stage, such as defining the scope of the tracker; the data elements to be collected; and the overall data collection, entry, and management processes
  • Overview of the DHIS 2 Tracker program and the implications for developing a patient tracker
  • Detailed recommendations for configuring the PMTCT tracker in DHIS 2: defining services and potential outcomes, enabling different facilities to schedule visits or mark them as completed, setting up notifications, configuring reports and creating PMTCT indicators from the data collected, and managing confidentiality and data security

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Le programme de renforcement du leadership pour la demande et l’utilisation des données en Guinée

Le programme de renforcement du leadership pour la demande et l’utilisation des données en GuinéeL’équipe de MEASURE Evaluation a été contractée par l’Agence des Etats-Unis pour le développement international (USAID) dans le but de renforcer les efforts déjà entrepris par le gouvernement Guinéen pour réorganiser le système d’information sanitaire (SIS) au lendemain de l’épidémie de l’Ebola. Au bout de six mois, un nouveau système national d’information sanitaire (SNIS) était mis en place dans le pays au niveau de 38 districts sanitaires, soutenu par le logiciel DHIS 2. Parmi les nombreuses instances d’assistance technique fournies au cours de cette période d’implémentation figurait le programme de leadership pour la demande et l’utilisation des données (DUD). Ce programme visait à transmettre une approche d’apprentissage expérientielle pour développer les compétences nationales en matière de leadership, de gestion et d’utilisation des données. Ce, dans le but de traduire les données de routine en informations qui peuvent facilement être utilisées dans les prises de décision pour améliorer les prestations de services.

The MEASURE Evaluation team was contracted by the United States Agency for International Development (USAID) to strengthen the efforts already made by the Guinean government to reorganize the health information system (HIS) following the Ebola epidemic. At the end of six months, a new National Health Information System (NHIS) was established in the country at 38 health districts, supported by the DHIS 2 software. The implementation period included the Leadership for Data Demand and Use (DDU) program as part of the technical assistance provided. This program aimed to convey an experiential learning approach to develop national skills in leadership, management, and use of data in order to translate routine data into information that can easily be used in decision making to improve service delivery.

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Model of a Community-Based Information System: Essential Components and Functions

Model of a Community-Based Information System: Essential Components and FunctionsA community-based information system (CBIS) is a dynamic system that includes information on how data are collected, how they flow, how to assess and improve data quality, and how the information is used. A CBIS involves data collection, management, and analysis of health and related services provided to communities outside of facilities (de la Torre, 2014).

To support the goals of the United States Agency for International Development (USAID) to combat infectious disease threats, the USAID-funded MEASURE Evaluation seeks to learn what works to improve health information systems and to address these systems holistically. MEASURE Evaluation’s work on CBIS aligns with these goals, because these systems operate at the community level, where health services are closest to the people who need them.

The CBIS model presented here is a starting point for framing what is currently known from the literature and from MEASURE Evaluation’s experience with community health and social service information systems in low- and middle-income countries. The model describes how a CBIS should function to help countries assess and strengthen their CBIS, by providing them with a reference for what should be included in a CBIS. The CBIS model has eight components that should be in place for a system that produces high-quality information for decision making. The components are leadership and governance; system design; system management; data sources; data management; information products and dissemination; data quality; and data use. The model also details the stakeholder groups who have a vested interest in the information generated by the CBIS and their roles in relation to the system.

Reproductive Health Cost Reporting System

Reproductive Health Cost Reporting SystemProgram managers, finance directors, and funders often want to know the cost of delivering services. To answer this, programs often undertake or commission cost studies. Such studies take time, can be expensive, and provide snapshot information of a point in time. Organizations frequently collect service delivery data and track expenditures on human resources and labor and medical supplies, including pharmaceuticals and other regularly incurred office and equipment expenses. Yet these data are rarely assessed together. A better way may be to harness the basic information already available to an organization in real time—housed in its tracking systems and service delivery records. That is where the Reproductive Health Cost Reporting System (RHCRS) can assist.

This resource provides an overview of the RHCRS. A user guide is also available.

Engagement de la communauté dans la revue et l’amélioration des services de santé en utilisant les données du système national d’information sanitaire (SNIS)

Engagement de la communauté dans la revue et l’amélioration des services de santé en utilisant les données du système national d’information sanitaire (SNIS)Les activités de revue des données du SNIS pour les niveaux communautaires ont pour but de mettre en place un cadre de concertation et une synergie d’action entre les acteurs sanitaires au niveau local et communautaire. Il s’agit d’un projet pilote centré sur le renforcement des capacités et sur la promotion de l’utilisation des données qui vise l’implication et l’engagement des agents de santé communautaire, des comités de santé et d’hygiène (COSAH), et des centres de santé dans la gestion des programmes et services de santé. Ce projet pilote se déroule au travers des réunions de revue de données pour la prise de décision basée sur des données de qualité.

National health information system data review activities at the community level aim to put in place a framework for consultation and coordinated action between health actors at the local and community level in Guinea. This pilot project focuses on capacity building and promoting data use and aims for the implication and the commitment of community health workers, health and hygiene committees (COSAH), and health centers in the management of health programs and services. This pilot project takes place through data review meetings for data-driven decision-making.

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