SBIR/STTR Research Award

Personalized multi-medication packaging with integrated real-time instrumentation to improve adherence

Award identifier 5f52336baeec71735485a6d054731dcb20e25c9a4b917928bf7ed02835bcb403Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,382,814

Program and phase

SBIR · Phase II

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
INSIGHTFIL
Proposal award date
2024-09-24
Contract end date
2027-08-31
UEI
NJZ2U94M9MJ4
Solicitation number
PA23-230
Topic code
100

Research abstract

Abstract – Medication non-adherence is a persistent public health problem that impacts many patient populations and causes all stakeholders—patients, families, pharmacies, pharmaceutical developers, doctors, and insurers—to lose. It contributes to 45% of treatment failures, 700,000 annual hospitalizations, and one death every 19 minutes, making it responsible for $100B in preventable medical costs per year. Medication non- adherence occurs across diverse care settings, including in increasingly utilized (Covid and post-Covid) home- based acute care and post-acute care programs. For example, a study of 50 patients at a Hospital at-Home program found nine potential adverse drug events related to unintentional medication non-adherence. Similarly, therapeutics have been kept off the market due to non-adherence during clinical trials, resulting in erroneous conclusions. Many device- and app-based technologies have repeatedly failed due to the high cost and high level of interaction required on the part of the patient or caregiver. To address the need for a cost-effective, usable/deployable/scalable, and highly versatile solution for real-time adherence detection at the point of care, Insightfil is developing a novel disease and medication-form agnostic technology platform using Near-Field-Communication (NFC) tags to measure medication adherence and reduce non-adherence in home-based settings with minimal need for technological interaction. Low-cost, disposable NFC tags are attached to a variety of medication packages for automatic detection of the package opening, allowing the moment of pill-taking to be captured via an accompanying smartphone application and entered into the patient record without the need to optically capture information. In addition, the app delivers real-time, personalized, context-sensitive notifications to encourage medication adherence to the patient’s care plan. Our Phase I pilot study of an early prototype demonstrated that medication adherence improved from 64% to >95% with the use of Insightfil technology which was maintained over 18 months. In Phase II, Insightfil will collaborate with UMass Chan Medical School’s innovative Program in Digital Medicine to develop an NFC-enabled native app (Aim 1), optimize the app based on iterative user-testing (Aim 2), and rigorously demonstrate acceptability and fidelity (Aim 3) of the technology in home-based acute care, post-acute care, and outpatient settings The proposed aims will advance Insightfil’s technology toward commercialization and adoption by demonstrating its utility to increase adherence and improve patient outcomes across a variety of care settings and empirically and quantitatively demonstrate the usability and accessibility of the platform. These key technical demonstrations will be leveraged to fund a type-2 hybrid effectiveness-implementation trial, evaluating the technologies’ efficacy and implementation within clinical workflow in preparation for commercial launch.

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

2 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $1,607,814. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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