Evidence map›Paper›PMID 40712138›Full record

ArticleJMIR aging2025

Creating User Personas to Represent the Needs of Dementia Caregivers Who Support Medication Management at Home: Persona Development and Qualitative Study.

Anna Jolliff, Priya Loganathar, Richard J Holden, Anna Linden, Himalaya Patel, Jessica R Lee, Aaron Ganci, Noll Campbell, Malaz Boustani, Nicole E Werner

Abstract read
In one paragraph

Article in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Anna JolliffCenter for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID https://orcid.org/0000-0002-5099-1469
Priya LoganatharDepartment of Industrial & Systems Engineering, University of Wisconsin - Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0002-9483-2849
Richard J HoldenDepartment of Health & Wellness Design, School of Public Health, Indiana University Bloomington, Bloomington, IN, United States.ORCID https://orcid.org/0000-0002-3603-6158
Anna LindenDepartment of Industrial & Systems Engineering, University of Wisconsin - Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0002-1381-4332
Himalaya PatelDepartment of Health & Wellness Design, School of Public Health, Indiana University Bloomington, Bloomington, IN, United States.ORCID https://orcid.org/0000-0003-2334-0334
Jessica R LeeDepartment of Human Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University, Mesa, AZ, United States.ORCID https://orcid.org/0009-0007-9255-4375
Aaron GanciHerron School of Art + Design, Indiana University Indianapolis, Indiana University Indianapolis, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0002-7121-559X
Noll CampbellDepartment of Pharmacy Practice, Purdue University, West Lafayette, IN, United States.ORCID https://orcid.org/0000-0002-8933-9339
Malaz BoustaniIndiana University Center for Aging Research, Regenstrief Institute, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0003-0330-677X
Nicole E WernerCenter for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID https://orcid.org/0000-0003-2363-9491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaregiver-assisted medication management plays a critical role in promoting medication adherence and quality of life for people living with Alzheimer disease or related dementias (ADRD). The current landscape of digital and nondigital interventions to support medication management does not meet caregivers' needs, contexts, and levels of technological proficiency. Intervention development can be facilitated using personas or data-driven archetypes that represent end users' traits relevant to solution design.

objectiveThis study aims to understand the strategies and unmet needs of ADRD caregivers who manage medications and use this understanding to create personas that can inform customized caregiver interventions.

methodsParticipants were self-identified primary caregivers of people with ADRD living with or near the care recipient. Virtual contextual inquiry was completed in three stages: (1) enrollment interview, (2) virtual observation over a 1-week period, and (3) postobservation interview. Codebook thematic analysis of interview transcripts was used to identify dimensions of caregivers' approaches to medication management. A reflexive, team-based affinity diagramming approach was used to identify attributes within these dimensions and group attributes into personas.

resultsParticipants (N=25) were aged 62.32 (SD 11.86) years on average, and 17 (68%) of them were female. Caregivers varied across 6 dimensions relevant to medication management: strategies for medication acquisition, medication storage and organization, medication administration, monitoring the care recipient for symptoms, communication with care network regarding medication, and acquiring information about medication. Three personas were created to represent the observed strategies, unmet needs, and levels of technology use related to medication management: Checklist Cheryl, in Control; Social Sam, Keeps it Simple; and Responsive Rhonda, Stays Relaxed.

conclusionsCaregivers in this study demonstrated a range of characteristics and values that informed their approach to medication management. They used a combination of technology-based strategies and strategies situated in their physical environments to manage medications. The personas created can be used to inform interventions, such as digital tools, that address caregivers' unmet needs.

Indexed as

CaregiversDementiaMedication Therapy ManagementAgedAged, 80 and overFemaleHumansMaleMedication AdherenceMiddle AgedQualitative ResearchQuality of LifeAIartificial intelligencedementiadigital health technologyinformal caregiversmedication adherenceuser-centered design

Identifiers

PMID40712138
PMCPMC12334896

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LicenceCC BY
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Registered trials

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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.