Evidence map›Paper›PMID 41460179›Full record

ArticleThe Gerontologist2026

Digital health interventions for urinary tract infection prevention and management in people living with dementia and their family caregivers: a scoping review.

Kuan-Ching Wu, Basia Belza, Donna L Berry, Frances M Lewis, Andrea L Hartzler, Oleg Zaslavsky

Abstract readScoping Review
In one paragraph

Article in The Gerontologist, 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

6 authors.

Kuan-Ching WuSchool of Nursing, University of Washington, Seattle, Washington, United States.ORCID 0000-0002-0296-1409
Basia BelzaDepartment of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States.
Donna L BerryDepartment of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States.
Frances M LewisDepartment of Child, Family and Population Health Nursing, University of Washington School of Nursing, Seattle, Washington, United States.
Andrea L HartzlerBiomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, Washington, United States.ORCID 0000-0003-4932-7314
Oleg ZaslavskyDepartment of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States.

Funding

PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON · 1986 to 2026
$30.4M
NIDDK NIH HHS P30 DK035816University of Washington School of Nursing
6 · The paper itself

Abstract

BACKGROUND AND

objectivesOlder adults with dementia are at higher risk of hospitalized for urinary tract infections (UTIs), with worse health outcomes. Digital interventions, such as smartphone apps, wearable devices, and telehealth, hold promise for improving UTI detection, monitoring, and prevention. However, their effectiveness for people with dementia and their caregivers remains unclear. This review aims to identify: (1) The types of digital interventions and devices used for UTI management and prevention in people with dementia and their caregivers; and (2) The outcome variables and key findings of these interventions. RESEARCH DESIGN AND

methodsA scoping review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews framework, searching PubMed, CINAHL, Embase, IEEE Xplore, and Web of Science for studies from 1998 to 2024. The review included quantitative, qualitative, and mixed-method studies that described digital interventions for UTI management in persons with dementia. Studies were excluded if they lacked detailed intervention descriptions or outcome reporting. Data were charted and summarized to address the study aims.

resultsSeven studies were included from 1,800 screened. Three digital interventions were evaluated: Technology Integrated Health Management (TIHM), a real-time locating system (RTLS), and a smart diaper system (SDS). The TIHM and RTLS showed high effectiveness in UTI detection, with sensitivities up to 91%, while the SDS had lower sensitivity. DISCUSSION AND IMPLICATIONS: The review highlights the potential of sensor-based technology and AI in early UTI detection. However, most interventions lack theoretical foundations and preventive strategies, suggesting a need for more comprehensive approaches involving caregivers and clinical guidelines.

Indexed as

CaregiversDementiaTelemedicineUrinary Tract InfectionsAgedDigital HealthHumansMobile ApplicationsWearable Electronic DevicesCaregiversDementiaDigital interventionsSensor-based technologyUrinary tract infection (UTI)

Identifiers

PMID41460179
PMCPMC13377233

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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.