Evidence map›Paper›PMID 41921136›Full record

ArticleJMIR human factors2026

A Comprehensive Self-Medication Management System to Reduce Medication Errors Among People Living With Dementia: Mixed Methods Feasibility and Usability Study.

Santosh Basapur, Charles Gellman, Jamie B Plenge, Amelia Troutman, Erin Yurko, Brandon Woolsey, Justin McClendon, Lisa Marceau, Neelum T Aggarwal

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Santosh Basapur *Department of Family and Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0001-6287-1221
Charles Gellman *HiDO Technologies, Folsom, CA, United States.ORCID 0009-0003-5310-1462
Jamie B Plenge *Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States.ORCID 0009-0005-4788-782X
Amelia Troutman *Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States.ORCID 0009-0003-7419-0505
Erin Yurko *Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States.ORCID 0009-0007-3138-9281
Brandon Woolsey *HiDO Technologies, Folsom, CA, United States.ORCID 0009-0003-2930-7639
Justin McClendon *HiDO Technologies, Folsom, CA, United States.ORCID 0009-0004-8077-3886
Lisa Marceau *HiDO Technologies, Folsom, CA, United States.ORCID 0000-0001-5002-1588
Neelum T Aggarwal *Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0002-4341-8023

Funding

Preventing Medication Mismanagement in People Living with Dementia through Automated Medication Dispensing with Facial Recognition and Video ObservationR43AG077737 · NIA · HIDO TECHNOLOGIES, INC. · PI GELLMAN, CHARLES · 2022 to 2022
$450k
NIA NIH HHS R43 AG077737
6 · The paper itself

Abstract

backgroundMedication adherence is a critical challenge for people living with dementia and their caregivers. Standard care relies on appropriate medication management, yet there are few effective options beyond manual pill-counting and caregiver-administered dosing. These methods are prone to errors and impose a significant burden. Technologically enhanced adherence tools include smart caps, reminder apps, and electronic dispensers, which improve tracking but still depend on manual interaction, lack clinical integration, and are often unsuitable for cognitive impairment. The HiDO HomeCare System (HCS) is an artificial intelligence-enabled self-medication device, advancing the field by removing manual pill counting, automating the chain-of-custody, verifying consumption, and logging medication adherence through neuroscience-based logic and real-time monitoring.

objectiveThis study evaluated the feasibility, usability, and performance of the HCS for at-home medication management in dyads of people living with dementia and their caregivers. We examined setup, dispensing accuracy, task efficiency, and user satisfaction.

methodsA pooled analysis usability study was conducted with 35 caregiver-patient dyads at Rush University Medical Center, combining 2 sequential in-clinic cohorts run at different time points with the same protocol. Participants were recruited from the Rush Memory Clinic and Rush Alzheimer's Disease Center data repository. Participant dyads completed device setup, medication dispensing, and simulated medication use with the system's automated logging and dual-camera verification. Dyads repeated dispensing and simulated medication use following automated reminders sent to their mobile device. Dyads were encouraged to repeat dispensing tasks multiple times. Quantitative measures included setup time, time to dispense, success rates, reliability, and System Usability Scale scores. Qualitative measures also captured caregiver perceptions of usability, acceptability, and burden.

resultsAll 35 dyads successfully completed at least one dispensing task using the HCS. The average time for the first dispense attempt was 1:41 (SD 1:13) minutes (n=35). The second attempt averaged 1:35 (SD 1:10) minutes (n=21). Attempt 3 averaged 2:03 (SD 1:34) minutes (n=6). The system maintained accuracy across all users, with some variability in timing across age groups. The HCS received an overall mean System Usability Scale score of 70.2 (SD 18.2; n=34), reflecting above-average usability of the device. Caregivers reported that access to a system like HCS could reduce stress associated with medication administration and recommended improvements to specific design elements.

conclusionsThe HCS demonstrated early feasibility, accuracy, and usability as a self-medication device tailored to people living with dementia. By automating the medication safety chain from delivery through consumption, HCS reduces caregiver workload and enhances patient safety and medication management. These findings support HCS as a viable medication adherence solution, addressing limitations of prior devices and enabling better dementia care. Larger-scale, longitudinal studies are planned to examine clinical outcomes, caregiver burden, and cost-effectiveness within real-world home and community settings.

Indexed as

DementiaMedication ErrorsSelf MedicationAgedAged, 80 and overCaregiversFeasibility StudiesFemaleHumansMaleMedication AdherenceMiddle AgedAlzheimer diseasecaregiver burdendementiadigital healthmedication adherenceremote monitoringroboticsself-medication device

Identifiers

PMID41921136
PMCPMC13241794

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.