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A Cross-Sectional Study Using Health Behavior Theory to Predict Rapid Compliance With Campus Emergency Notifications Among College Students

Published online by Cambridge University Press:  07 February 2020

Christopher J. Rogers*
Affiliation:
Department of Preventive Medicine, University of Southern California, Los Angeles, California
Myriam Forster
Affiliation:
Department of Health Sciences, California State University Northridge, Northridge, California
Kaitlin Bahr
Affiliation:
Department of Health Sciences, California State University Northridge, Northridge, California
Stephanie M. Benjamin
Affiliation:
Department of Health Sciences, California State University Northridge, Northridge, California
*
Correspondence and reprint requests to Christopher J. Rogers, Department of Preventive Medicine, University of Southern California, Keck School, 2001 N Soto Street, Los Angeles CA 90089 (e-mail: rogerscj@usc.edu).
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Abstract

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 (n = 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.

Information

Type
Original Research
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.
Figure 0

TABLE 1 Scenario Design

Figure 1

TABLE 2 Demographic Characteristics of the Sample

Figure 2

TABLE 3 Perceptions of the Emergency Notification System

Figure 3

TABLE 4 Regression Analysis of Factors Associated With Compliance

Figure 4

FIGURE 1 AORs Associated With Compliance Displayed by TPB

Note: Figure 1 displays 95% Confidence intervals and adjusted odds ratios. Adjusted odds ratios in each figure are pulled from each of the seven models with the theoretical constructs as predictors and the scenarios as outcomes. All models adjust for campus residence, age, gender, and ethnicity. Confidence intervals that do not overlap “1” denote significance.
Figure 5

FIGURE 2 AORs Associated With Compliance Displayed by PMT

Note: Figure 2 displays 95% Confidence intervals and adjusted odds ratios. Adjusted odds ratios in each figure are pulled from each of the seven models with the theoretical constructs as predictors and the scenarios as outcomes. All models adjust for campus residence, age, gender, and ethnicity. Confidence intervals that do not overlap “1” denote significance.