JSI

?????? ?????????????????????? In 2022, the HCDExchange, in collaboration with the Vihara Innovation Network, conducted a landscape review of measurement and evaluation practices in HCD+ASRH programming. We have now published this landscape review which discusses lessons learned on M&E approaches in HCD+AYSRH programs to increase understanding of how M&E was integrated, highlight key emerging challenges, and propose future areas of learning. Read the: 1. Complete landscape review: https://lnkd.in/eR2n28uF 2. A shorter Summary Report: https://lnkd.in/dNMhsrKt Join us next week on Wednesday, October 16 5pm EAT as we discuss the findings from this review in detail: https://lnkd.in/dwmqYjVW

Still processing the whirlwind that was #UNGA79. Across numerous sessions on topics such as women’s health, #AI, #climatechange, #antimicrobialresistance, and leveraging technology for the advancing the #SDGs, the importance of data rang through loud and clear. For JSI, this just further highlights the importance of our work in strengthening health information systems and continuing to work with our local partners to enhance and innovate on ways to collect, analyze, use, and enhance the quality of data on projects such as CHISU Program, Ethiopia Data Use Partnership (DUP), Digital Health Activity (DHA). Some key calls to action we are walking away with are: - We must continue to work to enact laws to safeguard health data. Transform Health, World Health Organization and PATH unveiled the #healthdatagovernance model law (https://shorturl.at/4RE9v) that can be adapted by countries. We heard stories from youth about their experiences accessing their health data which drove home the importance of JSI’s work in supporting governance of country health information systems and local partners to adopt health data governance laws to ensure public trust and accountability in the use of #digitaltechnology and data in the health sector.? - Use of generative AI to improve #HealthCare is moving rapidly and we must work to strengthen capacity of governments and health workers to leverage this technology to ensure it reaches its fullest potential. We also need to continue to develop inclusive datasets to ensure we do not introduce bias into our models. The United Nations also released its Universal Digital Public Infrastructure Safeguards Framework (https://shorturl.at/akuWu) - At a session on #WomensHealth and the SDGs hosted by ECHAlliance - The Global Health Connector and Society for Women's Health Research (SWHR), it was clear that we must continue to ensure data is available to understand the impacts of health issues on women, including analysis of impact across all reproductive stages. We need to ensure that women are at the table when making decisions about research and assessing program outcomes. JSI’s CHISU project has been leading global conversations on the importance of integrating gender into health information systems strengthening: https://lnkd.in/eKQGWTUe Yasmin Chandani #digitalhealth #summitofthefuture #HealthInformationSystems #UHC #PCH #PrimaryHealth #HealthSystemsStrengthening #HealthSystems #globalhealthsecurity #HIS #CHISU? #DHA

Data quality is critical to ensure it is trusted by decision-makers to improve service delivery and health outcomes.?Good quality data is accurate, complete, timely, and coherent and triggers data use for decision-making. This is especially important for malaria programs, where targeting interventions based on quality data is critical to ensure effective programs. The Malaria Routine Data Quality Assessment (mRDQA) Tool supports targeted, rapid data-quality assessments focused on monitoring malaria data quality as part of routine supervision efforts. The tool aims to standardize and facilitate routine assessments led by a district team during supportive supervision visits at health facilities and can be used by central and regional staff jointly with district teams to assist in data quality efforts. Join CHISU to hear about country experience in adopting and implementing mRDQA in Mali, Guinea, and Cote d’Ivoire. Countries will detail their successes, challenges, and solutions. We are hoping to see more countries?engaging themselves in adopting and implementing a mobile app developed in Android to further improve the data quality of malaria. This webinar will be in French. English interpretation will be provided.? Fran?ais: La qualité des données est essentielle pour garantir que les décideurs leur fassent confiance afin d’améliorer la prestation de services et les résultats en matière de santé.?Les données de bonne qualité sont exactes, complètes, promptes, et cohérentes suscitent leur utilisation pour la prise de décision. Ceci est particulièrement important pour les programmes de lutte contre le paludisme, où le ciblage des interventions sur la base de données de qualité est essentiel pour garantir l’efficacité des programmes. L’outil d’évaluation de la qualité des données de routine sur le paludisme (mRDQA)?est utilisé pour des évaluations ciblées et rapides de la qualité des données axées sur le suivi de la qualité des données sur le paludisme dans le cadre des supervision de routine. L'outil vise à standardiser et à faciliter les évaluations de routine menées par des équipes de district lors des visites de supervision formative dans les établissements de santé et peut être utilisé par le personnel du niveau central et régional conjointement avec les équipes des districts pour contribuer aux efforts?d'amélioration de la qualité des données. Rejoignez CHISU pour découvrir l'expérience des pays en matière d'adoption et de mise en ?uvre de mRDQA au Mali, en Guinée et en C?te d'Ivoire. Les pays partageront leurs succès et leurs défis ainsi que les approches de solutions. Nous espérons voir davantage de pays?s’engager dans l’adoption et la mise en ?uvre de l’application mobile développée sous Android pour améliorer la qualité des données sur le paludisme. Ce webinaire sera en fran?ais. Une interprétation en anglais sera assurée.

This article shines a light on the growing rates of discontinuation of HIV treatment. As we know, this can jeopardize the health of people living with HIV,?increase drug resistance, and increase transmissions. The article identifies some of the most common reasons for discontinuation. What caught my eye is that inflexible service offerings, long wait times, and mental health challenges are high on the list. Discontinuation is indicative of gaps in the health system to adequately meet clients’ needs for flexibility and efficiency, and for person-centered, integrated, stigma-free care. https://lnkd.in/dZmVftYr