Older adult drug overdose: an application of latent class analysis to identify prevention opportunities

Original research
par
Mason, Maryann, Kaveet Pandya & Alexander Lundberg

Date de publication

2024

Géographie

USA

Langue de la ressource

English

Texte disponible en version intégrale

Oui

Open Access / OK to Reproduce

Oui

Évalué par des pairs

Yes

L’objectif

Our objective is to identify profiles based on missed intervention points (touchpoints) to inform prevention of future older adult unintentional overdose deaths.

Constatations/points à retenir

We identified three distinct decent profiles. Class 1 (13% of decedents) included female decedents who were in pain treatment, had physical health problems, and had greater likelihood of a recent ED visit before their death. Class 2 (35% of decedents) decedents were most likely to be socially connected (live with others, employed, had social or family relationships) but less likely to have recent healthcare visits. Class 3 (52% of decedents) decedents had higher social isolation (lived alone, unemployed, unpartnered), were mostly male, had fewer known physical health conditions, and more alcohol positivity at time of death. White decedents are clustered in class 1 while Black decedents are predominant in classes 2 and 3.

La conception ou méthodologie de recherche

We used latent class analysis methods to identify profiles of decedents aged 55 + years in the Illinois Statewide Unintentional Drug Overdose Reporting System

Mots clés

Overdose
Mortality
Sex/Gender
Equity
Chronic pain