SBIR/STTR Research Award

A Novel Tool for Integrating Resident Preferences for Improving Service Delivery and Satisfaction in Long-term Care Settings

Award identifier f9240431bc4b24724a8e088b61d86e48fae8549c0ca51499365b82c0e568570dAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$275,621

Program and phase

STTR · Phase I

Award year

2024

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
LINKED SENIOR INC.
Proposal award date
2024-07-05
Contract end date
2025-06-30
UEI
FGDGKWNB4XN8
Solicitation number
PA23-232
Topic code
NINR

Research abstract

A Novel Tool for Integrating Resident Preferences for Improving Service Delivery and Satisfaction in Long-term Care Settings Abstract At any given time approximately 5% of older adults with an average age of 84 years are living in nursing homes and assisted living communities. Federal regulations mandate a focus on person-centered care based on knowing and honoring resident preferences. Yet despite good intentions, preferences are often overlooked in the day-to-day press of managing residents in long-term care. When preferences are honored, residents report greater satisfaction with care. Staff may report higher job satisfaction when they know and honor resident preferences. Preliminary research has established there is a significant industry need for a streamlined tool to capture and act upon resident preferences to improve the quality of care in long-term care settings. The digital tool we envision will be called Care Preference Assessment of Satisfaction or ComPASS™. Members of the research team have developed the Preferences for Everyday Living Inventory (PELI), a scientifically validated questionnaire that helps long-term care staff learn about a person’s most important preferences. The PELI’s 72 questions focus on five key domains of an individual’s day-to-day life: 1) social contact, 2) personal development, 3) leisure, 4) living environment, and 5) daily routine. Phrased in clear, conversational language and tested with a diverse sample of older adults, the PELI gathers practical information about how each person likes to live daily life – including preferred wake-up times, whether to take a shower or bath and the recreational activities that bring the most pleasure. Information from the PELI helps care teams customize services and activities, as well as build trusting relationships with residents that result in better and more personalized care. Sixteen PELI questions are consistent with Section F of the Centers for Medicare and Medicaid Services (CMS) Minimum Data Set (MDS) 3.0. The MDS is a report that is required to be gathered on every resident residing in over 15,800 long-term care facilities annually. There is an opportunity to increase the value of data gathering if resident care preferences can be shared digitally in a way that is utilized for care execution, operations assessment, management, and required MDS reporting. This project will focus on establishing the feasibility of overcoming institutional barriers and achieving these outcomes through a demonstration of the impact of the ComPASS technology. This Phase I project will accomplish the following specific aims: AIM 1: Complete 3 focus groups (administrators and IT, nursing staff, activities and certified nursing assistants) to define the organizational needs, use of information, and barriers to implementation. AIM 2: Expand the pilot digital tool (ComPASS-16) to a) enable additional PELI items flexibly for targeted data gathering, b) provide summary data for caregivers to deliver resident preferences, and c) provide summaries on delivered care for internal assessment and improvement and for MDS reporting. AIM 3: Conduct a field test of ComPASS in 4 long-term care facilities and assess short-term impact. With a successful implementation and demonstration of the impact on residents, staff, and administrators, we will pursue full commercialization of ComPASS in Phase II. In doing so we will significantly improve the ability of care staff to deliver preference-based care to older adults living in long-term care.

Technology keywords

Not reported

Awards with the same topic code

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

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.