Evidence map›Paper›PMID 40985034›Full record

ArticleInnovation in aging2025

Prescribing patterns of psychotropic medications among people living with dementia after disasters.

Sue Anne Bell, John P Donnelly, Muhammad Ghous, Shrathinth Venkatesh, Adriana Rojas, Antoinette B Coe

Abstract read
In one paragraph

Article in Innovation in 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

6 authors.

Sue Anne BellSchool of Nursing, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-6890-2006
John P DonnellyHSR Center for Clinical Management of Research (CCMR), Veteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI, United States.
Muhammad GhousInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.
Shrathinth VenkateshSchool of Nursing, University of Michigan, Ann Arbor, MI, United States.
Adriana RojasSchool of Nursing, University of Michigan, Ann Arbor, MI, United States.
Antoinette B CoeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.

Funding

Preventing Deaths Among Older Americans with Alzheimer’s Disease and Other Related Dementias Exposed to HurricanesRF1AG083768 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BELL, SUSAN ANNE, DAVIS, MATTHEW A · 2023 to 2023
$2.1M
Improving Medication Use and Outcomes in Older Adults with Dementia after Hospitalization: Effectiveness of Medicare ProgramsK08AG071856 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COE, ANTOINETTE BARTOLOTTA · 2021 to 2024
$620k
Healthcare use among older adults with dementia after large-scale disastersR03AG076815 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BELL, SUSAN ANNE · 2023 to 2024
$312k
NIA NIH HHS K08 AG071856NIA NIH HHS R03 AG076815NIA NIH HHS RF1 AG083768
6 · The paper itself

Abstract

Background and Objectives: Disasters can worsen behavioral symptoms in people living with dementia, leading to disorientation, anxiety, and paranoia. In such situations, psychotropic medications may be inappropriately used to manage these symptoms. This study estimated the receipt of new, or changes to existing, psychotropic prescription medications post-disaster among fee-for-service Medicare beneficiaries with a dementia diagnosis. Research Design and Methods: Medicare administrative claims data were used to examine the relationship between hurricane exposure and receipt of antipsychotic prescriptions among people living with dementia with no prior use. The primary outcome was a daily count of new psychotropic prescriptions per beneficiary, from Part D claims, residing in exposed and unexposed counties 12 months after the hurricane landfall. The secondary outcome was a daily count of increases in the dosage of psychotropic prescriptions. Federal Emergency Management Agency disaster declarations were used to determine disaster-exposed groups. Results: A total of 70 307 traditional fee-for-service beneficiaries with a dementia diagnosis were included in the study. In analyses adjusted for age, sex, race/ethnicity, Part D low-income subsidy status, rurality and number of Elixhauser comorbidities conducted over a 12-month period following the three hurricanes, beneficiaries exposed to the hurricanes had a 10% higher rate of starting new antipsychotic prescriptions compared to those in unexposed counties (IRR: 1.10, 95% CI: 1.04-1.17). Analyses conducted by individual hurricanes revealed substantial differences, with higher rates of initiating antipsychotics following Hurricane Harvey (IRR: 1.21, 95% CI: 1.07-1.36), and no change after Hurricanes Irma (IRR: 0.97, 95% CI: 0.88-1.08) and Florence (IRR: 0.92, 95% CI: 0.80-1.05). Discussion and Implications: Psychotropic prescribing increased after Hurricane Harvey but not after Irma or Florence, suggesting context-specific factors may influence clinical responses during disasters. Our findings highlight the importance of incorporating person-centered care and appropriate behavioral health responses into disaster preparedness planning for the dementia population.

Indexed as

AlzheimersBehavioral disturbanceDisasterEmergency PlanningMedication

Identifiers

PMID40985034
PMCPMC12450280

What OpenQuestion holds

Textmetadata
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.