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Response categories relating to clinician support for a ban in their unit were reduced to two: 'strongly disagree/disagree/unsure'; and 'agree/strongly agree'.
Thirdly, to examine the association between the benefits and barriers perceived by clinicians and their support for a total smoking ban in their unit.
Clinical staff who believed a smoking ban would help patients to stop smoking were more likely to support a smoking ban in their unit.
The clinical staff survey also asked respondents to indicate their level of agreement with a total smoking ban in their unit ('strongly disagree, disagree, unsure, agree, strongly agree').
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A 2011 UCLA study found that California landlords, both public and private, could save $18 million a year in cleanup costs if they banned smoking in their units.
Logistic regression analysis results (Table 6) indicated that one variable was significantly associated with clinical staff support for a smoking ban in their own unit at p <.01.
The difference in the proportion of clinicians supporting a ban in mental health services generally, and the proportion supporting a ban in their own unit was statistically significant (p > 0.001).
Respondents who believed a smoking ban would help patients to stop smoking were approximately 23 times more likely to support a smoking ban in their own unit than those who did not hold this view (p =.001).
Only one perceived benefit or barrier was significantly associated with clinician support for a ban in their own unit - the belief that a ban would help patients to stop smoking.
Most local soldiers in their unit defected last week.
However, 68.0 % of clinicians opposed banning the use of mobile phones in their units.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com