SBIR/STTR Research Award

Hats and Ladders for Health: Data-driven Decision-Making for Future Health Citizens and Professionals

Award identifier 6ae4d4da47ce6a1fabb7554943e796f8fe3374f76674d7fcd123427fa75a8b85Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$292,402

Program and phase

SBIR · Phase I

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Hats & Ladders, Inc.
Proposal award date
2023-09-01
Contract end date
2024-03-31
UEI
TJZGYFVQ2U63
Solicitation number
PAR20-244
Topic code
500

Research abstract

PROJECT SUMMARY Despite a growing demand for health care workers and evidence that a diverse health workforce is vital for public wellbeing, most young people lack awareness of health career options and how to pursue them. Narrow career exposure, insufficient advising, lack of encouragement to pursue STEM subjects, and lack of concordant mentors are significant barriers for Black and Latino/x youth—two groups consistently under-represented across health professions. This project will help these adolescents to overcome barriers and develop positive health identities so they are more confident in their ability to undertake challenging health career pathways and to make informed health decisions. To do so, a joint team from Hats and Ladders, Inc., Mentoring in Medicine, the University of Texas at Austin School of Human Ecology, CareerVillage and Applied Curiosity Research will design, develop, and test Hats and Ladders for Health: Data-driven Decision-Making for Future Health Citizens and Professionals (HLH). This blended digital experience targets 9th- and 10th-grade students and educators in general career and health education programs, and will consist of a digital gamified app, project-based activities, live health career panels, near-peer mentoring sessions, and a robust instructional toolkit with training videos, progress reports, lessons and other educator supports for providing accurate, actionable student feedback. The overall outcomes of HLH’s data-driven, inquiry-based, and inclusive intervention could have broad reaching public health impact, and are to (1) increase students’ confidence in their ability to pursue challenging health career pathways and solve problems along the way; (2) increase their ability to find, understand, and use information to make health-related decisions; and, (3) develop educators’ capacity to provide quality health career guidance and health literacy instruction. Designed to strengthen our organization’s impact on high school youth, our intervention will bring a novel set of interactions––as requested by our existing users––and use them to deepen inquiry-based learning related to health careers and literacy during the critical stage of early high school. In Phase I, the HandL RandD team will collect, analyze and input data from concordant healthcare professionals into a new health career database that we will integrate into the HLH app. To gather the data, we will develop, and test for relevance, an online survey targeting 500 racially and professionally diverse respondents through CareerVillage’s community of 3,000 health professionals (52% BIPOC) and 1,500+ Mentoring in Medicine volunteers. A subset of 25-30 survey respondents will participate in video interviews. Survey data and video snippets will be tagged with metadata and inputted into the database enabling us to recommend authentic and relevant health content to students with shared demographic and career attributes. We will test usability and feasibility of app designs and prototypes with students in small groups or dyads, and both app and dashboard components with educators using in-depth interviews. We will also adapt two student outcome measures, the Assessment of Adolescent Health Literacy and the Career Decision-Making Self Efficacy Scale, using expert reviews and cognitive interviews with students, and then test the measures with a sample of 400 students. All participants will be recruited from NYC Department of Youth and Community Development’s network of 180+ community-based organizations that work with NYC high schools. In Phase II, we will iterate and develop a near final product to pilot test in five NYC classrooms to further explore the usability, feasibility, and support from educators. Following the pilot test, in year two of Phase II we will implement a mixed-methods randomized controlled trial (RCT) to test the efficacy of the completed HLH innovation to impact students’ career efficacy and health literacy. The RCT, led by the External Evaluation team at Applied Curiosity Research, will help us determine the overall effectiveness of HLH to increase students’ health career efficacy and health literacy.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

6 SBIR/STTR records share this UEI (2018–2024). Reported award amounts total $4,893,071. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Education, Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.