Evidence map›Paper›PMID 42083806›Full record

ArticleThe Gerontologist2026

A modified Sequential Intercept Model for people living with dementia to prevent interactions with the criminal legal system.

Lillian M Morgado, Ana M Tyler, Krystal L Karunungan, Victoria Helmly, Jalayne J Arias

Abstract read
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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lillian M MorgadoDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States.ORCID 0009-0005-9808-172X
Ana M TylerDepartment of Neurology, University of California San Francisco, San Francisco, California, United States.
Krystal L KarununganDepartment of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, United States.
Victoria HelmlyDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States.ORCID 0000-0002-9474-2739
Jalayne J AriasDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States.ORCID 0000-0002-6081-5231

Funding

Advancing Health Disparities Research in Aging: The Aging Research in Criminal Justice & Health (ARCH) NetworkR24AG065175 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LISA C BARRY, BRIE A WILLIAMS · 2019 to 2026
$3.3M
Aging Research for Criminal Health Network (National Institute on Aging, National Institutes of Health R24 AG065175-01NIA NIH HHS R24 AG065175
6 · The paper itself

Abstract

BACKGROUND AND

objectivesPeople living with dementia (PLWD) may experience symptoms and behaviors that increase the risk of contact with the criminal legal system as arrestees. This manuscript aims to evaluate the Sequential Intercept Model (SIM) as a mechanism of reducing exposure to the criminal system for people living with dementia. RESEARCH DESIGN AND

methodsA secondary analysis of two complementary semi-structured interview studies of legal professionals (study 1) and caregivers of persons affected by frontotemporal dementia (study 2). Both studies collected insights and experiences with dementia-related behavior increasing the risk of contact or as the focus of a criminal charge, arrest, or incarceration. We applied the Framework Method to code, chart, and identify overlapping themes between studies. We compared overlapping themes to the Sequential Intercept Model (SIM)< >for applicability to people living with dementia.

resultsThirteen caregivers and fifteen legal practitioners completed interviews across two studies. We observed (1) caregiver interventions and use of pre-crisis resources as key to people living with dementia avoiding criminal involvement< >(2) caregivers may not perceive symptoms and behaviors as posing a criminal risk. The SIM lacks pre-crisis resources to reduce risks for criminal-system interaction for people living with dementia. We propose an adapted model, the Modified Sequential Intercept Model for People Living with Dementia (SIM-D), to integrate "pre-crisis community resources" and "crisis" stages. DISCUSSION AND IMPLICATIONS: We propose SIM-D as a tool to bridge research on people living with dementia in the community and the justice system. This research will be central to advancing policy and support resources that can mitigate negative consequences of people living with dementia's exposure to the criminal system.

Indexed as

CaregiversCriminal LawDementiaIncarcerationAgedFemaleHumansMaleMiddle AgedCaregiverCrimeDementiaPolicySequential Intercept Model

Identifiers

PMID42083806
PMCPMC13302797

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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.