Evaluation of Prevention Point Philadelphia's Overdose Prevention Program: Applying the Health Belief Model to Overdose Prevention Practices among Injection Drug Users

2021 ◽  
Author(s):  
Meghan Fibbi
Keyword(s):  
Health Belief Model ◽  
Prevention Program ◽  
Injection Drug Users ◽  
Drug Users ◽  
Health Belief ◽  
Injection Drug ◽  
Overdose Prevention ◽  
Belief Model ◽  
The Health Belief Model

Does the health belief model predict risky sexual practices in injection drug users?

1995 ◽  
Vol 2 (4) ◽  
pp. 227-233 ◽  
Author(s):  
Charlie M. Lollis ◽  
Michael H. Antoni ◽  
Ernest H. Johnson ◽  
Dale C. Chitwood ◽  
David K. Griffin
Keyword(s):  
Health Belief Model ◽  
Injection Drug Users ◽  
Drug Users ◽  
Health Belief ◽  
Injection Drug ◽  
Sexual Practices ◽  
Risky Sexual Practices ◽  
Belief Model ◽  
The Health Belief Model

scholarly journals Aplikasi Program Pencegahan DBD terhadap Perilaku Masyarakat dalam Pengawasan dan Pemberantasan Jentik Nyamuk Demam Berdarah Dengue dengan Menerapkan Teori Health Belief Model

2021 ◽  
Vol 7 (1) ◽  
pp. 191-196
Author(s):  
Yuyud Wahyudi ◽  
Lilis Sulistiya Ningrum
Keyword(s):  
Health Belief Model ◽  
Prevention Program ◽  
Health Belief ◽  
Mean Value ◽  
High Morbidity ◽  
Perceived Benefits ◽  
Perceived Susceptibility ◽  
Perceived Severity ◽  
Belief Model ◽  
The Health Belief Model

Dengue Fever is a disease caused by the dengue virus with acute fever symptoms by entering the human bloodstream through the bite of a mosquito from the genus Aedes. Dengue Hemorrhagic Fever (DHF) has spread widely to all provinces in Indonesia. This disease often appears as an Extraordinary Event (KLB) with relatively high morbidity and mortality. Many dengue incidence rates make the application of the DHF prevention program by applying the theory of the Health Belief Model (HBM) as a prevention effort that can change the behavior of healthy and clean living. This HBM consists of four components: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and cues to action. Based on the results of the study, it was conducted from 16 November - 12 December 2020. This research used a Quasi-experimental research design with the One Group Pre Post-test design approach with a sample of Ngrancah Hamlet RT 25 RW 8 Senggreng Village residents using a total sampling technique. The analysis technique of this research is using univariate analysis. The results of this study indicate that the health belief model theory indicators in the DHF prevention program are close to a maximum value, namely Perceived Susceptibility with a mean value of 17.30, perceived severity with a mean value of 15.80, perceived benefits of 15.80, perceived barrier 16.70, and cues. To act with a mean value of 17.30. This study concludes that these results are expected to increase awareness for healthy and clean behavior in preventing DHF.

Using the Health Belief Model to Explore the Impact of Environmental Empathy on Behavioral Intentions to Protect Ocean Health

2020 ◽  
pp. 001391652093263
Author(s):  
Sojung Claire Kim ◽  
Sandra L. Cooke
Keyword(s):  
Health Belief Model ◽  
Behavioral Intentions ◽  
Health Belief ◽  
Positive Behaviors ◽  
Mediating Mechanisms ◽  
Emotional Aspects ◽  
The Media ◽  
Belief Model ◽  
The Impact ◽  
The Health Belief Model

We examine psychological mediating mechanisms to promote ocean health among the U.S. public. Ocean acidification (OA) was chosen as the focus, as experts consider it as important as climate change with the same cause of humanity’s excessive carbon dioxide (CO2) emissions, but it is lesser known. Empathy is a multi-dimensional concept that includes cognitive and emotional aspects. Previous literature argues that environmental empathy can facilitate positive behaviors. We tested the hypothesis that empathy affects beliefs and behavioral intentions regarding ocean health using the Health Belief Model. We found that higher empathy toward ocean health led to higher perceived susceptibility and severity from OA, greater perceived benefits of CO2 emissions reduction, greater perceived barriers, and keener attention to the media. Beliefs and media attention positively influenced behavioral intentions (e.g., willingness to buy a fuel efficient car). Theoretical and practical implications regarding audience targeting and intervention design are discussed.

scholarly journals Users’ Beliefs Toward Physical Distancing in Facebook Pages of Public Health Authorities During COVID-19 Pandemic in Early 2020

2021 ◽  
pp. 109019812110144
Author(s):  
Soon Guan Tan ◽  
Aravind Sesagiri Raamkumar ◽  
Hwee Lin Wee
Keyword(s):  
Public Health ◽  
Health Belief Model ◽  
United States Public Health ◽  
Health Belief ◽  
The United States ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Control And Prevention ◽  
Belief Model ◽  
The Health Belief Model

This study aims to describe Facebook users’ beliefs toward physical distancing measures implemented during the Coronavirus disease (COVID-19) pandemic using the key constructs of the health belief model. A combination of rule-based filtering and manual classification methods was used to classify user comments on COVID-19 Facebook posts of three public health authorities: Centers for Disease Control and Prevention of the United States, Public Health England, and Ministry of Health, Singapore. A total of 104,304 comments were analyzed for posts published between 1 January, 2020, and 31 March, 2020, along with COVID-19 cases and deaths count data from the three countries. Findings indicate that the perceived benefits of physical distancing measures ( n = 3,463; 3.3%) was three times higher than perceived barriers ( n = 1,062; 1.0%). Perceived susceptibility to COVID-19 ( n = 2,934; 2.8%) was higher compared with perceived severity ( n = 2,081; 2.0%). Although susceptibility aspects of physical distancing were discussed more often at the start of the year, mentions on the benefits of intervention emerged stronger toward the end of the analysis period, highlighting the shift in beliefs. The health belief model is useful for understanding Facebook users’ beliefs at a basic level, and it provides a scope for further improvement.

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