# Creating Community Driven, Personalized Health Maps for Patients with Diabetes

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2021 · $328,868

## Abstract

Project Abstract/Summary:
This NLM R01 proposal aims to develop and test a personal health library platform for patients with diabetes
and prediabetes, harnessing both personal health and healthcare data (e.g., medication lists, upcoming
appointments, self-tracking of diet and blood sugars) and location-based mapped data about neighborhood
health resources (e.g., community reviews about the quality of grocery stores and parks). Diabetes and
prediabetes patients have substantial needs for tracking and accessing health and healthcare information that
are poorly met by existing platforms that largely operate in silos. Furthermore, existing digital health tools have
not utilized participatory design approaches and have low uptake among specific subgroups, such as
racial/ethnic minority and lower income populations.
In this project, we will use design science to create and evaluate a new personal health library platform to
strengthen and improve the ways in which low income individuals and communities of color access and
interact with personal health data that better reflect their needs and interests. Specifically, we propose to
create a new platform that enables patients with diabetes or prediabetes to import their personal health data to
a mapping platform, in order to have access to store and view both private and public views of health-
promoting and health-inhibiting community factors in their own neighborhood. This new platform will be titled:
“Mapping to Amplify the Vitality of Engaged Neighborhoods,” or MAVEN.
In Aim 1, we will use inductive observational methods to follow community leaders/health advocates and
patients with either diabetes or prediabetes to understand existing health and healthcare journeys and map
existing resources in their neighborhoods. We will recruit patients and community-based organization leaders
from 3 San Francisco neighborhoods with the highest prevalence of diabetes and pre-diabetes, which also
correspond with existing San Francisco Health Network clinics in our healthcare system. In Aim 2, we will
recruit a second sample of individuals to complete user-centered design methods (e.g., card-sorting and
thinkaloud interviews) to prioritize and test prototypes of data elements within the new MAVEN personal health
library platform. In Aim 3, we will conduct real-world usability testing of a functional version of the MAVEN
platform to explore its acceptability and usability in everyday life.
Because we will engage racially/ethnically and socioeconomically diverse patients in this project, we will
ensure that the MAVEN personal health library platform is relevant for patients with varying levels of health
literacy and technology proficiency. In addition, because we will engage community health advocates and
public healthcare system leaders, our findings will have more direct implications for implementation and
dissemination.

## Key facts

- **NIH application ID:** 10241383
- **Project number:** 5R01LM013045-04
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** COURTNEY REES LYLES
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $328,868
- **Award type:** 5
- **Project period:** 2018-09-05 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10241383

## Citation

> US National Institutes of Health, RePORTER application 10241383, Creating Community Driven, Personalized Health Maps for Patients with Diabetes (5R01LM013045-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10241383. Licensed CC0.

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