CHISU Program

Integrating health data from primary care facilities with national-level health information systems is a win-win! In #Indonesia, we supported a district health office to update Mojokerto City's electronic medical records system through the lens of Indonesia's integrated Primary Health Care (ILP) and Public Health Laboratory Tier 2 (Labkesmas Tingkat 2) programs. Read the news story for more about Mojokerto's official launch of the ILP and Labkesmas Tingkat 2 programs: https://lnkd.in/e8p3FSh4

We are proud of our #OneHealth work to advance #GlobalHealthSecurity through strengthening health information systems. Learn more below ⬇

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.  Français: 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 œuvre de mRDQA au Mali, en Guinée et en Côte 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 œuvre de l’application mobile développée sous Android pour améliorer la qualité des données sur le paludisme. Ce webinaire sera en français. Une interprétation en anglais sera assurée.

Due to changes in #malaria transmission in #Kenya, the country needed an updated malaria risk map. We collaborated with the National Malaria Control Program -Kenyato conduct two workshops that trained NMCP staff on using routine data and an open-source software solution to carry out stratification and brainstormed naming conventions for six strata included in Kenya's malaria stratification map. Over 40 NMCP staff were trained on the non-modeling stratification method, how to use the software and gained consensus on the revised risk map.

As we close out our program in #Serbia, we are reflecting on the lessons we've learned through partnership and perseverance to advance #DigitalTransformation in the country

In #Thailand, we're supporting #malaria surveillance by strengthening the interoperability of its malaria information system with the country's other health information systems. Read the success story to learn more: https://lnkd.in/edQkfPWB

Don't forget about our upcoming #webinar "Improving Malaria Data Quality to Improve Malaria Programming" on Wednesday, October 16 at 8:00 a.m. EDT! 💻 Learn more and register: https://lnkd.in/eMemHfCh

In #Serbia, we supported the Institute of Public Health (IPH) Batut to integrate health information systems in primary health centers to strengthen #Immunization data collection. Swipe ➡️ to see more!

Effective disease surveillance systems are key to prepare for public health emergencies. We assessed disease surveillance data for public health emergencies in #Ghana, #Kenya, #Madagascar, #BurkinaFaso, and #Burundi to identify gaps in opportunities for strengthening integration of surveillance data with the national routine health data. Read the study: https://lnkd.in/ejUC7nm6

In #Ghana, we collaborated with the Care Continuum Project and Ghana Health Service’s Policy, Planning, Monitoring and Evaluation division (PPMED) to convene a national e-Tracker review meeting in Kumasi. The meeting provided a space for stakeholders to generate practical solutions that address identified challenges and facilitate full national implementation of the e-Tracker moving forward. Read the success story: https://lnkd.in/efmr6GnZ