Objective: Compliance with college emergency notifications can minimize injury; however, time is often wasted in alert verification. Building on prior research, this study assesses using health-behavior theory to predict rapid compliance to emergency notifications across a range of scenarios and within a diverse college population.

Methods: Cross-sectional, student data were collected in 2017-2018 ( = 1529). The Theory of Planned Behavior and Protection Motivation Theory were used to explain intention to comply with emergency notifications in scenarios: robbery, shooter, fire, chemical spill, protest, health emergency, and air quality. Regression models assessed associations between constructs and intention to rapidly comply with each notification.

Results: The most consistent predictors of rapid compliance were attitudes and subjective norms (adjusted odds ratio [AOR]: 1.057-1.118; 95% CI: 1.009-1.168). Scenarios prone to rapid developments such as robbery, shooter, and fire were associated with increased perceived threat and response efficacy (AOR: 1.024-1.082; 95% CI: 1.003-1.132) Slower developing situations such as air quality and health hazards were associated with increased perceived control (AOR: 1.027-1.073; 95% CI: 1.031-1.117).

Conclusions: This study identified attitude and subjective norms as consistent predictors of rapid compliance and improves understanding of additional constructs across scenarios. Campuses may benefit from leveraging concepts from health-behavior theory to provide targeted intervention focusing on factors associated with rapid compliance.

Download full-text PDF

Source
http://dx.doi.org/10.1017/dmp.2019.153DOI Listing

Publication Analysis

Top Keywords

rapid compliance
20
emergency notifications
16
theory predict
8
predict rapid
8
health-behavior theory
8
robbery shooter
8
shooter fire
8
air quality
8
consistent predictors
8
predictors rapid
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!