A cross-sectional analysis of factors associated with the intention to engage in tobacco treatment among inpatients in a state psychiatric hospital

2017 ◽  
Vol 25 (1) ◽  
pp. 14-25 ◽  
Author(s):  
C. T. C. Okoli ◽  
J. K. Otachi ◽  
A. Manuel ◽  
M. Woods
2016 ◽  
Vol 23 (7) ◽  
pp. 871-875 ◽  
Author(s):  
Craig D. Seaman ◽  
Mariya Apostolova ◽  
Jonathan Yabes ◽  
Diane M. Comer ◽  
Margaret V. Ragni

2017 ◽  
Vol 23 (4) ◽  
pp. 268-278 ◽  
Author(s):  
Chizimuzo T. C. Okoli ◽  
Janet K. Otachi ◽  
Sooksai Kaewbua ◽  
Marc Woods ◽  
Heather Robertson

BACKGROUND: Persons with mental illnesses (MI) who use tobacco are likely to experience poorer physical health and worsened psychiatric symptomology as compared to their non–tobacco-using counterparts. Therefore, engaging them in treatment is an important aspect of evidence-based care. OBJECTIVE: To use the theory of planned behavior to examine factors associated with intentions to provide and the provision of evidence-based tobacco treatment. DESIGN: This study is based on a cross-sectional analysis of survey data from 195 staff at a state psychiatric hospital. Results: When controlling for demographic variables, attitudes, subjective norms, and perceived behavioral control toward providing tobacco treatment were associated with intentions to provide tobacco treatment, but only subjective norms and perceived behavioral control were associated with reported provision of evidence-based tobacco treatment. CONCLUSIONS: Understanding factors that influence provider delivery of tobacco treatment can better determine strategies to reduce the disproportionate tobacco use and related illnesses in behavioral health settings.


PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0219415
Author(s):  
Patience Atuhaire ◽  
Sherika Hanley ◽  
Nonhlanhla Yende-Zuma ◽  
Jim Aizire ◽  
Lynda Stranix-Chibanda ◽  
...  

Contraception ◽  
2008 ◽  
Vol 78 (3) ◽  
pp. 249-256 ◽  
Author(s):  
Catherine S. Todd ◽  
Michelle M. Isley ◽  
Malalay Ahmadzai ◽  
Pashtoon Azfar ◽  
Faridullah Atiqzai ◽  
...  

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