Chitra: Supporting localized healthcare provision by community health workers using a mobile mapping and visualization tool
Mobile platform for health workers to map community environments and disease incidence. Leverages machine learning for contextualized care.
*Please Upload User Experience Map (as attachment) and any additional insights gathered from Beneficiary Feedback in this field
A user experience map has been attached.
Primary users of the mobile application are the community health workers, and beneficiaries are underserved communities. A typical user will:
1. Download the mobile application.
2. Collect data using the app instead of on paper.
3. Receive notifications about potential disease outbreak.
4. Open the app to get more information about the area and disease risk factors.
5. Take action by following the app's suggested steps.
6. Improve health outcomes!
Why does the target community define this problem as urgent and/or a priority? How is the idea leveraging and empowering community assets to help create an environment for success? (1000 characters)
The target community is severely resource-constrained. Many of them cannot afford to visit a free government clinic due to long waiting times that cut into working hours. They also lack belief in government services. Living in slums near the polluted Yamuna river in Delhi, they are at high risk of disease. However, their conditions are overlooked by the local municipality and other authorities because there is no one holding them accountable for poor health in the area.
Chitra leverages existing community health workers who have close ties to local communities, and are tasked with improving health and conducting routine surveys. Chitra helps health workers record robust data and view aggregated community health profiles. With this information, they can not only improve health by carrying out relevant interventions, but are also empowered to hold the local government clinic and authorities responsible for poor health.
Thus, Chitra provides a sustainable and empowering solution.
How does the idea fit within the larger ecosystem that surrounds it? Urgent needs are usually a symptom of a larger issue that rests within multiple interrelated symptoms - share what you know about the context surrounding the problem you are aiming to solve. (500 characters)
Health is often an outcome of community surroundings. This includes the physical environment that slum residents are exposed to in open dwellings, the cultural backdrop where certain unhealthy practices may be acceptable (e.g. outdoor defecation), poor infrastructure (e.g. unclean water), and social context (e.g. community unity). Currently, these aspects are not considered by local authorities. Chitra targets this larger issue of lack of attention to community perspectives in healthcare.
How does the idea affect or change the fundamental nature of the larger ecosystem that surrounds it (as described above) in a new and/or far-reaching way? (500 characters)
E.g. A health worker who has on record (on the app) that malaria in a community is being propagated by the stagnant water, can now inform local authorities to take action and also motivate the community to fill this in with sand. This addresses the root problem and goes beyond the current approach of recording malaria cases and referring patients to local clinics (where community members often don't agree to go). Currently, there is a lack of a medium for collecting and presenting data.
What will be different within the target community as a result of implementing the idea? What is the scope and scale of that difference? How long will it take to see that difference and how will it be sustained beyond BridgeBuilder support? (500 characters)
Chitra aims to effect longer and deeper interactions between communities and health workers, and decrease disease incidence over the long-term by facilitating health interventions that impact underlying factors for the disease.
We estimate that it will take 6 months to evaluate change in these areas. Beyond BridgeBuilder support, the changes in the community will be sustained through the efforts of health workers. The mobile app will also be put on the Google Play Store for widespread use.
How has the idea evolved or responded to your user research during the Beneficiary Feedback Phase and any further insights provided if you participated in the Expert Feedback Phase? (1000 characters)
After user research, we have a more nuanced understanding of the needs of health workers and communities. During the beneficiary feedback phase, we identified the primary areas of focus of the community health workers. This included immunizations, disease outbreak, and maternal and child health. Of these, the community health workers shared that they had the least support with identifying and addressing disease outbreak due to its complex nature. This is the area that our mobile application will focus on providing visualizations and predictions.
We also identified the areas of concern for local communities, which were the frequent disease outbreaks they faced and limited engagement with community health workers. These insights will form the basis of interventions suggested by the app. They also inform our success measures, i.e. increase in frequency and length of engagement between communities and health workers, and decrease in frequency and scale of disease outbreaks.
What are the key steps for implementation in the next 1-3 years? (You can attach a timeline or GANTT chart in place of a written plan, if desired.) (1000 characters)
- Conduct co-design exercises with community health workers to determine appropriate visualizations and modalities for mapping and presenting community health profiles.
- Complete development of the mobile application.
- Train community health workers to use the mobile application.
- Carry out regular data collection using the mobile application with 20 health workers and 20,000 residents. At this stage, only aggregated community health profiles will be available. Predictions will not be available.
- Monitor healthcare provision activities and use of the app during deployment.
- Fine tune machine learning algorithms with collected data.
Y2 and Y3
- Deploy the mobile application with the same workers and residents. This time, predictions will also be available.
- Monitor healthcare provision activities and use of the app during deployment.
- Evaluate success including impact over time. Also compare activities initiated before and after adding prediction.
Describe the individual or team that will implement this idea (if a partnership, please explain breakdown of roles and responsibilities for each entity). (Feel free to share an organizational chart or visual description of your team). (500 characters)
Georgia Tech's TanDEm Lab (Atlanta, GA, USA) will design the mobile application, leveraging its significant expertise working with and designing mobile technologies for diverse underserved communities around the globe. The Chitra organization will carry out the development of the mobile application and will implement the pilot. It will partner with community health workers and communities in South-East Delhi.
What aspects of the idea would potential BridgeBuilder funds primarily support? (500 characters)
The BridgeBuilder funds will primarily be used to complete development of the mobile application and to carry out a pilot with 20 ASHAs operating in a region with 20,000 slum residents in a underserved region of Delhi.
In preparation for our Expert Feedback Phase: What are three unanswered questions or challenges that you could use support on in your project? These questions will be answered directly by experts matched specifically to your idea and needs.
The areas that we could use support on in our project include the following questions:
1 - How can we structure our pilot to be widely applicable and our results to be replicable elsewhere?
2 - How can we determine the robustness of our evaluation measures for the success of the intervention, given its curative and preventative health aspects?
3 - How do we place ourselves strategically during the pilot to be able to target scale at the end of the pilot?
Final Updates (*Please do not complete until we reach the Improve Phase*): How has the idea evolved or responded to your user research during the Beneficiary Feedback Phase and any further insights provided if you participated in the Expert Feedback Phase? (1000 characters)
We conducted a user study with our beneficiaries which gave us more details on what app features were most useful to them. A video of the design tested has been added.
Based on expert feedback, we will incorporate the following incentives in our pilot to facilitate use:
1. Monetary incentives: Health workers already receive monetary incentives for collecting data from each household. The app will simply replace existing paper-based data collection and will continue to provide monetary incentives for data collected per household. We have already tested this approach and this is significant motivation for using the app.
2. Work incentives: Chitra eliminates time spent on repetitive data collection also reducing the time spent on mundane tasks such as copying data over to a register significantly.
3. Social incentives: The app will display progress made by the health worker over time. This has been shown to be motivating and to improve performance in a previous study.
During this Improve Phase, please use the space below to add any additional information to your proposal.
Design prototype of the mobile application in Hindi. This was tested with 20 community health workers in Delhi.
Health workers using initial prototypes for data collection.
Initial mockup of the Chitra mobile application
Explain your project idea (2,000 characters)
Around 1,000,000 community health workers (CHWs) collect demographic, environmental, and medical data across India, using paper forms. Despite huge efforts to collect data in the first place, this data is frequently underutilized. There is a huge scope for (1) digitizing the data collection process, and (2) analyzing collected data to help healthcare providers deliver personalized care to communities. Particularly, low-resource communities that rarely access hospitals and clinics could benefit greatly from targeted interventions.
To meet this need, we propose Chitra - a mobile application that (1) helps community health workers (CHWs) collect hyperlocal data through map annotations, and (2) builds community profiles by applying machine learning on collected data. This can help CHWs and healthcare providers provide personalized care to communities.
Health and health-seeking behaviors are a product of environmental, socioeconomic, and cultural factors. Recording and understanding these location-based factors (planet) can help develop health interventions that take into account these aspects and community resources. This can result in improved health outcomes, particularly among underserved communities that are most affected by their surroundings (prosperity).
How does it work?
We build upon existing open source mapping tools such as Local Ground and ODK to enable hyperlocal data collection using map annotations. We aggregate collected data based on location and then apply machine learning algorithms to help identify communities that are at risk of disease and the underlying factors that may be responsible for the threat. User-friendly insights are presented as community profiles to health providers such as doctors, community health workers, and policymakers to help them make data-driven decisions. The project thus leverages and supports healthcare providers' existing competencies and deep understanding of local communities.
Who are the beneficiaries? (1,000 characters)
For the timeline of this project, our beneficiaries are residents of slums along the Yamuna river in South-East Delhi. A major goal of the project is prolonged engagement between communities and health workers. Health workers in the area routinely visit communities once every 4-5 months for data collection. Apart from that, they only visit for maternal and child health because there is little structure and support for other health interventions. We hope to deliver this support and encourage health activism by providing health workers a means of monitoring and addressing community health including risk factors of disease.
We will open source the developed mobile application at the end of the project so that other communities may benefit from it. Additionally, we hope to scale our efforts in India in partnership with more community health workers as well as health organizations for whom data collection is a primary effort.
Our targeted beneficiaries, slums along the Yamuna river.
How is your idea unique? (1,000 characters)
Current players in this space are global organizations such as Medic Mobile, DHIS2, Dimagi, and Nafundi. All of these are data collection companies with a particular focus on working with community health workers. However, current efforts to analyze collected data rarely go beyond recording disease outbreak and service coverage. This results in underutilization of rich collected data despite massive efforts to obtain them in the first place.
Our core competency lies in the use of machine learning techniques to provide customized care. We go beyond current efforts that are focused on data collection to also analyze the collected data and make hyperlocal disease predictions and healthcare delivery recommendations. We thus complement and build upon existing efforts. We also follow a human-centered approach---working closely with health workers on the ground and understanding their current data workflows and work priorities to be able to leverage and support them meaningfully.
Idea Proposal Stage (choose one)
Prototype: I have done some small tests or experiments with prospective users to continue developing the idea.
Tell us more about your organization/company (1 sentence and website URL)
The core work on the project is being carried out by the Chitra organization. Website: http://chitrahealth.com. The technology is being developed and deployed in collaboration with the Technology and Design for Empowerment (TanDEm) lab at the Georgia Institute of Technology, Atlanta, Georgia, USA. Website: https://tandemlab.tech.
Organization Filing Status
No, but we plan to register in the future.
No, but we are a formal initiative through a university.
In 3-4 sentences, tell us the inspiration or story that encouraged you to start this project.
From May to August 2016, we conducted ethnography in an underserved region of Delhi. Our goal was to gain a ground-level perspective on private and public healthcare infrastructure. Through interviews and observations, we found a major disconnect between patients and healthcare providers. Health was often a product of circumstances (environment, culture, economics) unknown to healthcare providers. This motivated Chitra, which aims to deliver healthcare providers a picture of target communities.
Please explain how your selected topic areas are influenced, in the local context of your project (1,000 characters).
In the underserved communities targeted by Chitra, health is often an outcome of community surroundings. This includes the physical environment, which slum residents are exposed to in their open and close dwellings (e.g. the polluted Yamuna river). It also includes the cultural backdrop where certain unhealthy practices may be culturally acceptable (e.g. tobacco chewing and open defecation) and healthy practices may not be part of daily life (e.g. hand washing and institutional deliveries). It also includes infrastructure (e.g. electricity, water, and sanitation) and social context (e.g. community support). Thus, health is closely tied to Planet.
Prosperity is directly affected by health. Poor health results in lost days of work and decreased productivity. In the target context, families frequently slip into debt because of health issues and often forgo visiting a hospital or clinic in favor of work and money in the pocket. Hence, non-clinical alternative interventions are needed.
Who will work alongside your organization in the project idea? (1,000 characters)
We are closely working with community health workers and slum communities in Delhi on this project. We follow an iterative process, taking input from health workers on the functionality, design, and appropriateness of our proposed intervention. We make them primary stakeholders and privilege their superior understanding of local communities.
So far, we have conducted participant observation with community health workers to better understand their interactions with local communities and the challenges they face. From January to May 2018, we deployed an initial data collection prototype with 5 community health workers and 600 slum residents. The collected data is being analyzed and preliminary machine learning algorithms have been developed. In February 2018, we also conducted 2 co-design sessions with 17 community health workers for the mobile application. Using insights we gained during the co-design process, we have developed an initial design for the mobile application.
Please share some of the top strengths identified in the community which your project will serve (500 characters)
Some of the strengths that we have identified in the community include close-knit relationships with community health workers, strong support networks among community members, and activism of local mosques which often hold local gatherings and announcements.
This particular project will target underserved slum communities in South-East Delhi, India.
How many months are required for the project idea? (500 characters)
We will first conduct co-design exercises with CHWs to determine appropriate visualizations and modalities for mapping and presenting community health profiles (3 mths). Using these insights, we will develop a mobile mapping application (4 mths). After training (1 mth), we will carry out mapping exercises with 20 CHWs and 20,000 people (4 mths). We will tune machine learning algorithms (4 mths). Finally, we will monitor healthcare provision activities during deployment (15 mths).
Did you submit this idea to our 2017 BridgeBuilder Challenge? (Y/N)