Evidence map›Paper›PMID 38217356›Full record

ArticleJournal of the American Geriatrics Society2024

NegotiAge: Development and pilot testing of an artificial intelligence-based family caregiver negotiation program.

Alaine Murawski, Vanessa Ramirez-Zohfeld, Johnathan Mell, Marianne Tschoe, Allison Schierer, Charles Olvera, Jeanne Brett, Jonathan Gratch, Lee A Lindquist

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
18.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Alaine MurawskiDivision of Geriatrics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Vanessa Ramirez-ZohfeldDivision of Geriatrics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Johnathan MellDepartment of Computer Science, University of Central Florida, Orlando, Florida, USA.
Marianne TschoeDivision of Geriatrics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Allison SchiererDivision of Geriatrics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Charles OlveraDivision of Geriatrics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Jeanne BrettKellogg School of Management, Northwestern University, Evanston, Illinois, USA.
Jonathan GratchViterbi School of Engineering, University of Southern California, Los Angeles, California, USA.
Lee A LindquistDivision of Geriatrics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-4290-5081
Northwestern University · USUniversity of Central Florida · USUniversity of Southern California · US

Funding

The Claude D. Pepper Older Americans Independence Center (OAIC) at Northwestern UniversityP30AG059988 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CELLA, DAVID · 2020 to 2024
$7.1M
Negotiation Training to Optimize Caregiver Communication in Alzheimer's DiseaseR01AG068421 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LINDQUIST, LEE A · 2020 to 2024
$3.8M
Decision Making and Implementation of Aging-in-Place/Long Term Care Plans among Older AdultsR01AG058777 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LINDQUIST, LEE A · 2019 to 2023
$3.7M
Measuring Caregiver Networks of Older Adults with Alzheimer's DiseaseR01AG083034 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Michelle Birkett, Lee A Lindquist · 2023 to 2026
$3.0M
NIA NIH HHS P30AG05998NIA NIH HHS P30 AG059988NIA NIH HHS R01 AG058777NIA NIH HHS R01AG058777NIA NIH HHS R01 AG068421NIA NIH HHS R01AG068421NIA NIH HHS R01 AG083034NIA NIH HHS R01AG083034
6 · The paper itself

Abstract

backgroundFamily caregivers of people with Alzheimer's disease experience conflicts as they navigate health care but lack training to resolve these disputes. We sought to develop and pilot test an artificial-intelligence negotiation training program, NegotiAge, for family caregivers.

methodsWe convened negotiation experts, a geriatrician, a social worker, and community-based family caregivers. Content matter experts created short videos to teach negotiation skills. Caregivers generated dialogue surrounding conflicts. Computer scientists utilized the dialogue with the Interactive Arbitration Guide Online (IAGO) platform to develop avatar-based agents (e.g., sibling, older adult, physician) for caregivers to practice negotiating. Pilot testing was conducted with family caregivers to assess usability (USE) and satisfaction (open-ended questions with thematic analysis).

resultsDevelopment: With NegotiAge, caregivers progress through didactic material, then receive scenarios to negotiate (e.g., physician recommends gastric tube, sibling disagrees with home support, older adult refusing support). Caregivers negotiate in real-time with avatars who are designed to act like humans, including emotional tactics and irrational behaviors. Caregivers send/receive offers, using tactics until either mutual agreement or time expires. Immediate feedback is generated for the user to improve skills training. Pilot testing: Family caregivers (n = 12) completed the program and survey. USE questionnaire (Likert scale 1-7) subset scores revealed: (1) Useful-Mean 5.69 (SD 0.76); (2) Ease-Mean 5.24 (SD 0.96); (3) Learn-Mean 5.69 (SD 0.74); (4) Satisfy-Mean 5.62 (SD 1.10). Items that received over 80% agreements were: It helps me be more effective; It helps me be more productive; It is useful; It gives me more control over the activities in my life; It makes the things I want to accomplish easier to get done. Participants were highly satisfied and found NegotiAge fun to use (91.7%), with 100% who would recommend it to a friend.

conclusionNegotiAge is an Artificial-Intelligent Caregiver Negotiation Program, that is usable and feasible for family caregivers to become familiar with negotiating conflicts commonly seen in health care.

Indexed as

Alzheimer DiseaseCaregiversAgedArtificial IntelligenceEmotionsHumansNegotiatingartificial intelligenceeducationfamily caregiversnegotiation

Identifiers

PMID38217356
PMCPMC11018462
OpenAlexW4390840685

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.