Part of the Data Use in eRegistries DAC2021 Session: Thursday 24nd June 14:00
If you are attending the DHIS2 Annual Conference, more details on this session are available here.
If you have not yet registered to the DHIS2 Annual Conference, do not hesitate to visit the DHIS2 Annual Conference website and secure your spot!
It is a pleasure to announce that we will have a parallell session on data use in eRegistries @ DAC2021 on Thursday 24 June, 14:00 – 15:00 CEST.
In this session, we will present implementation examples and research results on how eRegistries data can be effectively used to support -
the care provider at point of care (presentation by Akuba Dolphyne @Akuba )
the client with individualized messages (presentation by Binyam Bungudo @binyadad )
supervisors/managers with dashboards on quality of care (presentation by Brian O’Donnell @brian )
the implementation and evaluation of new interventions or procedures in clinical care (presentation by Eleni Papadopoulou @Eleni )
Hope you will join us!
Best,
Frederik
Frederik Frøen, Chief Scientist, Professor @ the Global Health Cluster @ the Norwegian Institute of Public Health, Oslo, Norway
eRegistry data to support clients with individualized messages
Individualized messages are often more effective than generic and untargeted messages in health communication. The extent of individualization and tailoring of messages is determined by the richness of data about the recipients of the messages in a digital system. Digital interventions focusing on transmitting tailored health information need to invest in collecting such data. Particularly in low- and -middle income countries (LMIC), an on-demand investment for data collection has been the case for most mobile health interventions, implemented in silos outside of the routine data sources in the health services. In LMIC, this trend is changing with the increasing individual-level data collection to serve the health data needs at different health system levels. Investments in digital technologies for health can be more rewarding when the efforts to collect data are minimized and the effective use of data is maximized.
The Palestinian Maternal and Child Health eRegistry (aka. MCH eRegistry) presents a unique opportunity to demonstrate how routinely collected data can be used to communicate back to the sources of the data –the women themselves. The MCH eRegistry is a digital point-of-care health record in the hands of care providers. It is also a platform where multiple digital health interventions can be integrated to maximize the return on investment.
In this presentation, we demonstrate how individually tailored targeted client communication via SMS can be implemented without additional data collection, solely using data from routine health records. We will present how an effectiveness trial, using a “gold standard” RCT study design for effectiveness evaluation, can be conducted with DHIS2, and share some preliminary results from our trial.
Leveraging Tracker For Quality Improvement Programs
While most DHIS2 implementations take advantage of native DHIS2 analytic dashboards for providing feedback to end users, the indicators presented often imitate the statistical outputs from routine population health reporting systems, which emphasize counts and percentages over time.
The recent introduction of tracker systems—in particular, patient registers designed to capture data at point of care—offers a rare opportunity to reconsider what types of feedback would be most useful for clinical end users and their supervisors. Individual-level data allow for more advanced longitudinal analyses of patient experiences through a health program’s clinical pathways, emphasizing not just the quantity of services provided, but also their quality.
This presentation will share experiences designing, deploying, and assessing a custom Quality Improvement Dashboard, a key feature of Palestine’s MCH eRegistry system, which was developed in partnership between University of Oslo, Norwegian Institute of Public Health, and Palestinian National Institute of Public Health. The dashboards, which were based on national clinical guidelines and in consultation on priority ANC indicators with the Ministry of Health, presented monthly updates on quality of care at facility-level, including charts and tables of where facilities rank within the district, as well as “action items” or suggestions to improve performance based on the latest rankings.
We will discuss this implementaiton as a case study for data use at the facility level, and share some key challenges and solutions for encouraging feedback among clinical end-users.