INTRODUCTION

A growing body of evidence shows that legislative measures to promote smoke-free environments have positive effects on public health, amongst them a reduction in respiratory symptoms in the workplace and lower admission rates for myocardial infarction1-3. This also applies to healthcare settings such as hospitals, where smoke-free environments have been introduced across the globe4-6.

In psychiatric hospitals, however, measures to discourage or ban smoking are often difficult to implement7,8. For decades, the tobacco industry targeted its marketing for people with mental health problems, suggesting that smoking has a calming effect on the mind. This strategy, which included utilizing advertising spaces in the direct vicinity of mental health facilities and delivering free cigarettes to psychiatric hospitals, has shaped the attitudes not only of patients but also of professionals working in these settings9,10.

Members of staff often assume that smoking bans cause disruptions in clinical care11. However, the implementation of a smoke-free environment in psychiatry is normally less burdensome than staff initially fear. Concerns about increased aggression, discharges against medical advice and higher seclusion rates have been shown to be unfounded2,12,13. Instead, smoke-free environments not only improve the physical well-being of psychiatric patients and staff, but also achieve better long-term mental health outcomes and improve the patients’ quality of life2,14,15. Mental health does not worsen as a result of quitting smoking, and smoking cessation is likely to be associated with improvements in mental health16. Furthermore, the implementation of smoke-free policies can bring about a more patient and recovery focused attitude in staff2. However, there seems to be a fundamental mismatch between what staff in psychiatric hospitals assume about the negative effects of smoke-free environments and the scientific evidence on its positive effects.

Consequently, it has become an emerging field of study to investigate what staff think and believe about smoke-free measures and why they resist them12,17-19. Studies have shown that individual smoking behavior among staff is associated with smoking-related knowledge and permissive attitudes and practices20,21, but only little is known about this field in the German health system. However, investigating staff resistance in Germany seems to be particularly urgent, as implementing smoke-free environments here has been comparatively weak. In a recently published comparison of tobacco control measures in Europe, Germany takes the last place22. It is the only country in the EU where billboard advertising for tobacco is still allowed23. Smoking is forbidden in public transport, but in many bars and restaurants, designated smoking areas still exist24. In healthcare environments, complete and even partial smoking bans and rules regarding smoking are commonly disregarded by the public25.

This study closes this gap by providing a comprehensive exploration of staff attitudes regarding the implementation of smoke-free environments in psychiatric units on eight hospital sites in Berlin, the largest study of its kind in Germany. It was based on the hypothesis that support for measures to implement a smoke-free environment in psychiatry is significantly lower amongst staff who smoke versus staff who do not smoke.

METHODS

Vivantes Netzwerk für Gesundheit GmbH is a state-owned healthcare company in Berlin which runs ten hospitals with eight psychiatric units and a number of other healthcare and nursing facilities for inpatients and outpatients. Although smoking is officially not permitted, there are ample exceptions. Patients, visitors and staff can smoke within designated smoking areas on hospital grounds. Psychiatric inpatients, in particular, often have access to additional smoking rooms on the ward and further exceptions are regularly made under special circumstances, e.g. patients in seclusion.

In this study, all members of staff working in psychiatric units were invited to complete an online questionnaire covering different topics in relation to smoking cessation and the creation of a smoke-free environment. The survey was promoted via different channels, including the company newsletter and promotional material and by direct contact of supervising members of staff. It was carried out from 1 October 2019 to 15 November 2019 using the software Lime Survey and participants were entered into a prize draw for vouchers for a department store in Berlin. Participation in the survey was voluntary and all answers were given anonymously. Data analysis was carried out using the software IBM SPSS Statistics 26 and Microsoft Excel 2016. Ethics approval was granted by Hochschule Neubrandenburg.

The questionnaire was designed by the author and based on similar surveys found in the literature12,17-19. Completion of all questions took less than 10 minutes. The questions in the survey explored, amongst other smoking-related questions, attitudes towards a smoke-free environment in psychiatry and demographic data including smoking status of the participant.

RESULTS

In all, 448 out of a total of 1706 members of psychiatric staff completed the questionnaire in full, yielding a response rate of 26.3%.

Demographic data showed an age range from below 20 to over 59 years with approximately a third of participants aged 30–39 years (Table 1). More than two-thirds of participants identified as female. One in two participants worked as a nurse. Less than one in five participants were doctors and a slightly lower proportion worked as medico-therapeutic staff (e.g. occupational therapists, physiotherapists, music therapists, dance therapists and other professionals).

Table 1

Demographic characteristics and smoking status of participating members of staff in eight psychiatric units, Berlin, Germany, 2019 (N=448)

CharacteristicsTotal % (n)*Current non-smokers % (n)Current smokers % (n)
Age (years)
<200.7 (3)66.7 (2)33.3 (1)
20–2917.9 (80)61.5 (48)38.5 (30)
30–3934.4 (154)60.4 (93)39.6 (61)
40–4920.5 (92)64.4 (58)35.6 (32)
50–5917.9 (80)72.7 (56)27.3 (21)
>597.4 (33)81.8 (27)18.2 (6)
Gender
Female68.8 (308)66.9 (202)33.1 (100)
Male28.1 (126)60.5 (75)39.5 (49)
Diverse1.3 (6)83.3 (5)16.7 (1)
Professional group
Doctor16.1 (72)72.2 (52)27.8 (20)
Nurse51.6 (231)55.6 (125)44.4 (100)
Medico-therapeutic staff**18.1 (81)81.5 (66)18.5 (15)
Administrative staff2.9 (13)84.6 (11)15.4 (2)
Other9.4 (42)65.9 (27)34.1 (14)
Working in substance-abuse services
Yes32.4 (145)62.5 (90)37.5 (54)
No65.0 (291)67.0 (191)33.0 (94)
Smoking status
Daily smokers22.1 (99)
Occasional smokers (less frequent than daily)11.8 (53)
Ex-smokers23.2 (104)
Non-smokers40.4 (181)

* The option ‘no answer’ provided in the questionnaire is not listed separately in the tables, which explains why the values do not add up to 100%.

** Medico-therapeutic staff includes occupational therapists, physiotherapists, music therapists, dance therapists and other professionals.

Approximately a third worked in substance-abuse services; 63.6% did not smoke or had given up smoking completely. A third smoked daily or occasionally. The highest percentage of current smokers were aged 30–39 years (39.6%). The smoking prevalence in male hospital staff was slightly higher than in female staff. Amongst nursing staff, there were roughly twice as many current smokers as amongst other professional groups. In substance-abuse services, staff smoking rates were slightly higher than in other psychiatric facilities.

Staff were asked for their views towards a smoke-free environment (Table 2) and if they supported or opposed specific measures in the process of implementation (Table 3).

Table 2

Attitudes towards a smoke-free environment in participating members of staff in eight psychiatric units, Berlin, Germany, 2019 (N=448)

QuestionReplyTotal % (n)Current non-smokers % (n)Current smokers % (n)Comparison statistics
Do you feel bothered by people who smoke in your everyday work?Yes35.7 (160)52 (143)10.2 (15)χ²=71.45
No60.9 (273)48 (132)89.8 (132)df=1
p=0.00
Do you believe that medical and therapeutic staff should serve as role models in relation to smoking?Yes65.2 (292)80.4 (217)51.1 (72)χ²=38.12
No28.4 (127)19.6 (53)48.9 (69)df=1
p=0.00
Should staff be allowed to smoke in the presence of patients?Yes36.2 (162)33.5 (85)56.3 (73)χ²=18.23
No50.5 (226)66.5 (169)43.7 (55)df=1
p=0.00
How well do you believe that measures have been implemented to protect staff from tobacco smoke?1 – Very well6.9 (31)4.2 (12)9.2 (14)
229.9 (134)26.3 (75)35.5 (54)
330.6 (137)32.6 (93)28.9 (44)
416.1 (72)18.6 (53)12.5 (19)
5 – Very poorly9.8 (44)11.6 (33)7.2 (11)
Table 3

Attitudes towards specific measures to create a smoke-free environment in participating members of staff in eight psychiatric units, Berlin, Germany, 2019 (N=448)

QuestionReplyTotal % (n)Current non-smokers % (n)Current smokers % (n)Comparison statistics
Which of the following measures do you support?
Providing self-help material for employees who smokeStrongly favor56.7 (254)62.1 (177)46.7 (71)
Somewhat favor35.3 (158)30.9 (88)42.8 (65)
Somewhat oppose4.2 (19)2.8 (8)7.2 (11)
Strongly oppose0.9 (4)0.7 (2)1.3 (2)
Therapeutic interventions for employees to help them quit smoking (individual sessions, groups)Strongly favor57.4 (257)62.8 (179)46.7 (71)
Somewhat favor29.7 (133)25.6 (73)37.5 (57)
Somewhat oppose8.7 (39)6.7 (19)12.5 (19)
Strongly oppose0.9 (4)0.7 (2)1.3 (2)
Providing nicotine replacement therapy (nicotine patches, gum, etc.) for employees who want to quit smokingStrongly favor38.2 (171)35.4 (101)42.1 (64)
Somewhat favor31.3 (140)28.8 (82)36.8 (56)
Somewhat oppose19.4 (87)22.8 (65)13.2 (20)
Strongly oppose6.0 (27)6.0 (17)5.9 (9)
Providing medication (varenicline, bupropion, etc.) for employees who want to quit smokingStrongly favor19.2 (86)15.8 (45)25.0 (38)
Somewhat favor17.2 (77)16.1 (46)19.7 (30)
Somewhat oppose37.5 (168)36.5 (104)39.5 (60)
Strongly oppose16.5 (74)17.5 (50)13.8 (21)
Special events to provide information on smoke-free hospital environmentsStrongly favor41.3 (185)48.8 (139)27.6 (42)
Somewhat favor36.8 (165)37.9 (108)34.9 (53)
Somewhat oppose12.3 (55)7.4 (21)22.4 (34)
Strongly oppose4.2 (19)1.4 (4)7.9 (12)
Financial incentives for smokers who successfully quitStrongly favor23.7 (106)16.8 (48)36.2 (55)
Somewhat favor19.9 (89)16.5 (47)26.3 (40)
Somewhat oppose25.2 (113)29.5 (84)18.4 (28)
Strongly oppose25 (112)29.5 (84)15.1 (23)
Additional day of annual leave for non-smokersStrongly favor41.5 (186)53 (151)22.4 (34)
Somewhat favor13.4 (60)13.3 (38)13.8 (21)
Somewhat oppose19.0 (85)15.4 (44)25.7 (39)
Strongly oppose21.0 (94)13.7 (39)31.6 (48)
Additional smoking bans on hospital premises (e.g. abolition of designated smoking areas)Strongly favor10.0 (45)14.7 (42)2.0 (3)
Somewhat favor10.3 (46)14.0 (40)3.9 (6)
Somewhat oppose36.2 (162)38.9 (111)32.9 (50)
Strongly oppose36.4 (163)22.8 (65)57.9 (88)
Penalties or disciplinary consequences for violations of non-smoking regulationsStrongly favor8.3 (37)11.6 (33)2.6 (4)
Somewhat favor17.2 (77)20.4 (58)10.5 (16)
Somewhat oppose33.7 (151)33.3 (95)35.5 (54)
Strongly oppose33.7 (151)25.6 (73)48.0 (73)
Which areas on the hospital grounds do you think should be smoke-free?All without exception11.4 (51)16.1 (46)3.3 (5)
All with the exception of designated smoking areas81.7 (366)80.0 (228)84.2 (128)
Smoking should be permitted anywhere outside the buildings5.6 (25)2.8 (8)10.5 (16)
Smoking should be allowed everywhere0.5 (2)0 (0)1.3 (2)
Are you worried that the implementation of further non-smoking regulations will put an additional burden on you?Yes33.3 (149)21.2 (58)57.1 (84)χ²=55.02
No62.5 (280)78.8 (215)42.9 (63)df=1
p=0.00
Will staff work more efficiently if there are further restrictions in relation to smoking?Yes27.5 (123)42.3 (104)13.4 (19)χ²=34.72
No61.6 (276)57.7 (142)86.6 (123)df=1
p=0.00

Approximately a third of all staff members who participated in the survey felt bothered by people who smoke in the workplace environment, with non-smokers feeling significantly more bothered than smokers (χ2=71.45; df=1; p=0.00) (Table 2). Two in three participants believed that medical and therapeutic staff serve as role models when it comes to smoking, with significantly more non-smokers holding this view (χ2=38.12; df=1; p=0.00). A third thought that staff should be allowed to smoke in the presence of patients, with smokers expressing this opinion significantly more often (χ2=18.23; df=1; p=0.00).

Four in five participants were happy with the current regulations that smoking is only allowed in designated smoking areas; 11.4% supported a complete smoking ban. Two-thirds did not worry that the implementation of more restrictive non-smoking regulations would put a burden on them, but smokers were significantly more concerned in this regard than non-smokers (χ2=55.02; df=1; p=0.00). One in three participants expected that staff would work more efficiently if there were fewer opportunities to smoke in the workplace environment. Non-smokers (42.3%) expressed this view significantly more often than smokers (13.4%) (χ2=34.72; df=1; p=0.00).

A vast majority expressed agreement with non-restrictive measures such as organizing special events to give out information on smoke-free environments (78.1% in favor) or providing therapeutic interventions for staff members who smoke like self-help material (91.9% in favor), individual support or group sessions (87.0% in favor) or the provision of nicotine replacement therapy (69.4% in favor).

Opinions were divided when asked about financial incentives for smokers if they successfully quit (43.5% in favor vs 50.2% opposed). Staff were similarly divided on the idea to grant an additional day of annual leave for non-smokers (54.91% in favor vs 40% opposed), a model implemented by the privately owned Helios Hospital Group which runs 86 hospitals in Germany26. More restrictive measures such as additional smoking bans on hospital premises (72.5% opposed) and penalties or disciplinary measures for violations of non-smoking regulations (67.4% opposed) did not find support amongst staff. Interestingly, a significant proportion (19.2%) of staff who smoke stated that additional smoking bans on premises or disciplinary measures for violations would actually make them more likely to smoke.

Current smokers were asked further questions about their smoking habits (Table 4) and what effect possible measures would have on their own smoking habits (Table 5). The vast majority of daily and occasional smokers smoked cigarettes (95% vs 94.3%) and about one in ten used new electronic nicotine delivery systems (12.1% vs 11.3%). When asked about their motivation and confidence to quit on a Likert scale (1=very high to 5=very low), daily smokers rated their motivation to quit smoking with an average score of 3.37 ± 1.05 and occasional smokers with an average of 2.84 ± 0.99, while daily smokers assessed their confidence with an average of 3.03 ± 1.11 and occasional smokers with an average of 2.06 ± 0.95. Daily smokers were more interested in having smoking cessation support from their employer (38.4%) than occasional smokers (24.5%).

Table 4

Smoking habits of current daily and occasional smokers in participating members of staff in eight psychiatric units, Berlin, Germany, 2019 (N=152)

QuestionTotal of daily smokers % (n)Total of occasional Smokers % (n)
Do/did you smoke?
Cigarettes95.0 (94)94.3 (50)
Cigars1.0 (1)3.8 (2)
Pipes1.0 (1)1.9 (1)
E-cigarettes12.1 (12)11.3 (6)
Shisha2.0 (2)3.8 (2)
Other3.0 (3)0 (0)
Smoking frequency
≤10 per day45.5 (45)
11–2039.4 (39)
21–309.1 (9)
≥312.0 (2)
Weekly50.9 (27)
Monthly24.5 (13)
Less often20.8 (11)
How do you rate your motivation to quit smoking?
1 – Very high4.0 (4)7.6 (4)
212.1 (12)24.5 (13)
345.5 (45)47.2 (25)
418.2 (18)9.4 (5)
5 – Very low19.2 (19)7.6 (4)
How do you rate your confidence that you could succeed in quitting?
1 – Very high7.1 (7)30.2 (16)
224.2 (24)32.1 (17)
336.4 (36)26.4 (14)
417.2 (17)1.9 (1)
5 – Very low12.1 (12)1.9 (1)
Would you like to have more support by your employer to quit smoking?
Yes38.4 (38)24.5 (13)
No49.5 (49)67.9 (36)
Table 5

Possible effect of measures to create a smoke-free environment on smoking habits of daily smokers in participating members of staff in eight psychiatric units, Berlin, Germany, 2019 (N=99)

How would the following measures affect your smoking habits?ReplyTotal of current daily Smokers % (n)
Providing self-help material for employees who smokeMore likely to quit3.0 (3)
More likely to smoke less22.2 (22)
No effect68.7 (68)
More likely to smoke more2.0 (2)
Therapeutic interventions for employees to help them quit smoking (individual sessions, groups)More likely to quit25.3 (25)
More likely to smoke less24.2 (24)
No effect43.4 (43)
More likely to smoke more3.0 (3)
Providing nicotine replacement therapy (nicotine patches, gum, etc.) for employees who want to quit smokingMore likely to quit24.2 (24)
More likely to smoke less36.4 (36)
No effect34.3 (34)
More likely to smoke more3.0 (3)
Providing medication (varenicline, bupropion, etc.) for employees who want to quit smokingMore likely to quit21.2 (21)
More likely to smoke less15.2 (15)
No effect44.4 (44)
More likely to smoke more6.1 (6)
Special events to provide information on smoke-free hospital environmentsMore likely to quit2.0 (2)
More likely to smoke less20.2 (20)
No effect62.6 (62)
More likely to smoke more8.1 (8)
Financial incentives for smokers who successfully quitMore likely to quit33.3 (33)
More likely to smoke less23.2 (23)
No effect35.4 (35)
More likely to smoke more4.04 (4)
Additional day of annual leave for non-smokersMore likely to quit21.2 (21)
More likely to smoke less17.2 (17)
No effect39.4 (39)
More likely to smoke more13.1 (13)
Additional smoking bans on hospital premises (e.g. abolition of designated smoking areas)More likely to quit1.0 (1)
More likely to smoke less13.1 (13)
No effect51.5 (51)
More likely to smoke more19.2 (19)
Penalties or disciplinary consequences for violations of non-smoking regulationsMore likely to quit2.0 (2)
More likely to smoke less11.1 (11)
No effect46.5 (46)
More likely to smoke more19.2 (19)

When asked about possible effects of specific measures on their own smoking habits, respondents deemed non-restrictive measures focusing on providing information (self-help material, organizing events) not to affect their smoking status, whereas a majority saw providing therapeutic support or nicotine replacement therapy as possibly helpful. Interestingly, financial incentives or extra annual leave was seen as likely to have an effect on their smoking habits, even though opinions of all participants towards these measures were divided. Additional restrictions or disciplinary measures were seen as counterproductive.

DISCUSSION

With its demographic data, the sample lies close to the German average with a slightly lower percentage of daily smokers (22.1% vs 22.5%), but a higher percentage of occasional smokers (11.8% vs 5.9%) than in the general public. The higher proportion of smokers in men than in women also corresponds with data on the population in Germany as a whole27. The higher prevalence of smokers amongst nursing staff in comparison with other professional groups has already been reported in the literature in other countries28. The authors discuss that gender, income and socioeconomic differences may play a role. Higher smoking prevalence amongst staff in substance-abuse services has also been reported before29,30.

The results show certain contradictions in staff attitudes toward smoking prevention in psychiatric hospitals. Even though a majority of employees believe that staff serve as role models and should not smoke in the presence of patients, most participants do not see the need to further restrict the comparatively ample opportunities for staff and patients to smoke in the hospital. Significant differences in this respect can be found between smokers and non-smokers. Non-smokers generally expressed more dissatisfaction with the status quo and see a need for change.

When it comes to the attitude towards specific measures to create a smoke-free environment, the participants seemed to support non-restrictive measures like organizing events and offering therapeutic support, nicotine replacement therapy and information. Measures such as a special bonus or additional annual leave, did not meet general support of staff, possibly because they provide incentives to non-smokers which are denied to staff who smoke. Even though a number of current smokers state that financial incentives or an additional day of annual leave could potentially motivate them to quit smoking, the opinions of all participants on these measures are generally divided. More restrictive measures such as penalties or disciplinary action against smoking were met with overwhelming opposition. This picture of staff showing less support for more restrictive measures is even more pronounced in staff who smoke. Some of them even state that these could cause them to smoke more rather than less, which could be interpreted as an act of resistance against interventions which they regard as too harsh.

These results show that individual smoking status plays a significant role in the attitudes towards implementing measures to create a smoke-free environment. This can also be seen in the behavior of participants to answer the survey questions. For those participants, who abandoned answering the questionnaire, Lime Survey provides information at what point they stopped answering questions. For many, this seemed to be the case when asked about demographics and smoking habits. It is possible that these employees had concerns about data protection despite clear information on the anonymity of the data provided at the start. This supports the view that individual factors like smoking status are likely to be relevant factors in staff attitudes towards a smoke-free environment.

The data clearly show that staff who smoke show significantly more resistance against implementing measures to create a smoke-free environment in psychiatric hospitals. In the survey, staff who smoke were asked if they believed that the measures to create a smoke-free hospital could also influence them in their private smoking behavior. Results show that they mostly supported only those measures which they believe are unlikely to have an effect on their own smoking status. At the same time, the majority of staff who smoke accepted that they serve as role models for patients. It is possible that staff who smoke see themselves as different from their patients, which could explain the discrepancy between the measures they support for their patients and the measures which would have an effect on themselves. Another possible explanation is that their attitude towards specific measures is shaped by what they suppose would make their life in the workplace more difficult, which explains the high number of smokers saying that they worry that more restrictive regulations will place a burden on them.

These contradictory views could be the starting point for eliciting a shift in attitude in psychiatric staff who smoke. It should be taken into account that evidence shows that smoking restrictions have an effect on people’s attitudes and that staff often change their views after a complete smoking ban is introduced31,32. But staff resistance against measures to create smoke-free hospital environments can also be overcome through staff training schemes. Training health professionals in smoking cessation has been found to be cost-effective and to have a measurable effect in performance33,34. The conflicting views of staff who smoke could be a target when providing staff training on smoking cessation in psychiatry. Motivational interviewing is an approach which explores ambivalence to encourage behavior change35. The psychological distress caused by contradictory information or views can serve as the focus of an intervention36.

Limitations

The data collected can only provide information on association, not causation. As demographic data on psychiatric staff as a whole were not available, it is not possible to generalize the findings to Vivantes psychiatric staff as a whole. The response rate was higher in psychiatric units with a designated task force on smoke-free service provision, which may be indicative of selection bias. It is also possible that smokers were less likely to participate as they may have been reluctant to answer questions about their smoking status.

CONCLUSIONS

In comparison with the rest of Europe, Germany falls far behind when it comes to implementing smoke-free environments in healthcare settings. Even though staff in psychiatric units in Berlin show general support for a largely smoke-free environment, most are critical about a complete smoking ban. Staff who smoke show a significantly higher tendency to resist measures to create smoke-free environments and they tend to support only those measures which they deem unlikely to have an effect on their own smoking behavior. The contradictory views of staff towards smoking behavior – namely acknowledging the need to reduce smoking behavior but resisting concrete measures to implement a smoke-free environment – could be a focus when providing staff training, as it might prove to be a starting point for behavior change and a shift in attitude.