INTRODUCTION
Smoking is a major public health problem that affects people’s health and social and economic life. Smoking is responsible for many fatal diseases, such as cardiovascular diseases, respiratory diseases and cancer1. According to the World Health Organization (WHO), the estimated global prevalence of smoking is 21% among the population aged above 15 years old2. In the Kingdom of Saudi Arabia (KSA), according to a current national survey, the estimated overall prevalence of active smoking ranges from 2.4% to 52.3% (median 17.5%)3.
The smoking habit is prevalent among healthcare workers (HCWs) despite the fact that they are the frontline of healthcare provision and that they are expected to contribute to solve this public issue4. In Arab countries, some studies measured the prevalence of smoking among HCWs and some of these countries showed higher percentages of smokers in the healthcare sectors compared to others5-9. In the KSA, the overall prevalence of smoking among HCWs ranges from 15 to 34%. Studies have been conducted in different regions in the Kingdom to assess the situation. In the central region, Saeed et al.19 studied the smoking habit among physicians, and found that the prevalence of smoking was 34%. In the south-western region of the country, the overall prevalence of tobacco use was 26.3%10. A recent cross-sectional study conducted in Najran Armed Forces Hospital concluded that the overall prevalence of tobacco use among medical and paramedical staff was 21.1%11. Another study done in the eastern region revealed that 15.1% of healthcare providers were smokers12.
Healthcare providers are considered community leaders and role models for their patients as well as for the general population. The nature of their job exposes them to substantial numbers of the public who they can inspire to change their smoking behavior4. The smoking habit among healthcare givers may also affect their intention to advise others to quit smoking. Thus, a smoking cessation program that targets HCWs may play a crucial role in decreasing tobacco consumption in the public context.
To the best of our knowledge, there are few studies that addressed the prevalence of smoking among healthcare workers in Makkah Governorate region13,14. This study aims to estimate the prevalence of smoking among HCWs of a tertiary healthcare institution in the western region of the KSA. In addition, it evaluates the participants’ intensity of smoking and their behavior and attitude towards smoking cessation.
METHODS
This is an institute survey that targeted HCWs of a public tertiary healthcare organization in Makkah city. The staff from the following sectors of service were included: physicians, allied healthcare professionals (nurses, pharmacists, physiotherapists etc.) and administrative workers. All those who were accessible during the data collection period were invited with no gender or age restriction. A list of all employees was requested from the Human Resources (HR) Department after ethical approval of the study was obtained from the Institutional Review Board (IRB) of the King Abdullah Medical City. Epi Info 7 was used to calculate the sample size, assuming a smoking prevalence of around 34%, as in the study by Saeed et al., with a 95% precision limit of 6%. We needed a sample of 239 for all categories of participants. The ratio of physicians to allied healthcare workers to administrative workers was 5:16:7. It was decided to stratify the sample in order to respect this ratio. The lists obtained from the HR were numbered in the same order supplied and a randomization website was used to pick a random sample from each profession category. To replace those who were chosen but were not available, the process was repeated, ignoring those who had already been approached.
An electronic self-administered questionnaire was distributed among the study subjects during the day shift from June to September, 2015. The questionnaire was designed as a Google form and the participants were asked to fill it in on tablet computers. The questionnaire was modified from the Global Health Professional Survey that was originally developed by the WHO/CDC15 and the Fagerström test for Nicotine Dependence (FTND)16. In addition, the literature was consulted and other questions were added.
The questionnaire consisted of 26 questions to capture the following:
Participants’ demographics, which included age, gender, nationality, educational level, profession and work shift.
Participants’ smoking status, with current smokers defined as those who smoked at least 100 cigarettes in their lifetime and who, at the time of survey, smoked either every day or on some days. Respondents who reported smoking at least 100 cigarettes in their lifetime, and who at the time of the survey did not smoke at all, were defined as former smokers. Respondents who reported never having smoked 100 cigarettes were defined as never smokers17. To estimate the per cent prevalence of smoking, the following equation was used: (Current smokers/Total sample)x100. Prevalence results were weighted according to the ratio of physicians to allied healthcare professionals to administrative workers.
Participants’ nicotine dependence, or smoking intensity, to assess the participants’ nicotine dependence, a scoring system from the FTND was used where the total score was divided into three equal categories: score 0–3 indicates low nicotine dependence, score 4–6 indicates medium, and score 7–10 indicates high dependence.
Participants’ behavior and attitude, towards smoking cessation and their opinions about the role of HCWs. To measure this, questionnaire items were analyzed individually and a total score was reported. The maximum total attitude score was 8 and it was divided into 3 levels: negative attitude (score 0–3), indifferent (score of 4), and positive attitude (score 5–8)18.
All the subjects were informed about the study by a cover sheet before completing the survey. Participation in the study was voluntary and all the information was anonymous and confidential.
Statistical Package for the Social Sciences (SPSS) Version 21.0 was used for data coding, validation and analysis. Categorical variables were presented as frequencies and percentages whereas continuous data were expressed as mean ± standard deviation. Categorical data were compared using chi-squared test, while numeric data were compared using ANOVA if normally distributed, and Kruskal-Wallis test or Mann Whitney test if not normally distributed. A p<0.05 was considered to indicate statistical significance, and all alpha values were two sided. For analysis purposes, age was categorized into three groups (19–30, 31–40, and >40 years).
RESULTS
A total of 697 HCWs participated in the survey. The response rate was 62.3%. Table 1 shows that about half (45.2%) of the sample of 313 consisted of allied health professionals, while the physicians and the administrative workers were 179 (25.8%) and 201 (29%), respectively. Participants 19–30 years old were the most prevalent age group (44.5%). Males were more than females (62.3% vs 37.7%, respectively). The crude prevalence of current smoking in the sample was 18.4% but was weighted for job category to become 20.1%. Former smoking was reported for 9.8%, while 71.9% of respondents had never smoked. The prevalence of current smoking is shown to be significantly higher among administrative workers, males and Saudis (30.3%, 27.6% and 30.5%, respectively, p<0.001). There were no significant differences based on educational level, shifts, or age, with p-values of 0.094, 0.792 and 0.124, respectively.
Table 1
General characterisitcs of study participants and distribution of smokers and non-smokers
| Current smoker N (%) | ||||
|---|---|---|---|---|
| Characteristics | N (%) | Yes | No | p |
| Total | 697 (100) | 139 (19.9) | 558 (80.1) | |
| Profession | ||||
| Physician | 179 (25.8) | 19 (10.6) | 160 (89.4) | >0.001* |
| Allied Health | 313 (45.2) | 58 (18.5) | 255 (81.5) | |
| Administrative | 201 (29.0) | 61 (30.3) | 140 (69.7) | |
| Age, years | ||||
| 19–30 | 310 (44.5) | 63 (20.3) | 247 (79.7) | 0.124 |
| 31–40 | 290 (41.7) | 64 (22.1) | 226 (77.9) | |
| ≥ 41 | 96 (13.8) | 12 (12.5) | 84 (87.5) | |
| Gender | ||||
| Male | 434 (62.3) | 120 (27.6) | 314 (72.4) | >0.001* |
| Female | 263 (37.7) | 19 (7.2) | 244 (92.8) | |
| Nationality | ||||
| Saudi | 318 (45.6) | 97 (30.5) | 221 (69.5) | >0.001* |
| Non-Saudi | 379 (54.4) | 42 (11.1) | 337 (88.9) | |
| Education | ||||
| Undergraduate | 411 (59.2) | 91 (22.1) | 320 (77.9) | 0.094 |
| Postgraduate | 283 (40.8) | 48 (17.0) | 235 (83.0) | |
| Work shift | ||||
| Yes | 274 (39.3) | 56 (20.4) | 218 (79.6) | 0.792 |
| No | 423 (60.7) | 83 (19.6) | 340 (80.4) | |
Regarding the nicotine dependence level among current smokers, the results showed that about half (46.9%) of current smokers had low nicotine dependence level, whereas only 12.8% had a severe level of nicotine dependence (Table 2). In general, there were no significant differences in nicotine dependence among the subgroups. The percentage of high nicotine dependence was higher for age 31– 40 years, those who had no night shifts, who worked as administrative workers, and with postgraduate educational degrees.
Table 2
The nicotine dependence level among current smokers
It was found that 80.3% of the smoking HCWs in the study had a positive attitude towards smoking cessation, 12.4% were indifferent, and only 7.3% had a negative attitude. There were no statistically significant differences among the categories of age, gender, nationality, profession and shift, with regards to attitude towards smoking cessation (p>0.05).
Tables 3 and 4 show the attitude and behavior of HCWs towards smoking cessation programs and their opinions about the role of HCWs. Percentages of ‘yes’ answers reflect a positive attitude and behavior. Seventy-one percent of smokers agreed that health professionals serve as role models for their patients and the public. A substantial percentage (88.9%) of smokers realize that healthcare professionals have a role in giving advice or information about smoking cessation to patients. The majority of smokers (76.6%) believe that a patient’s chances of quitting smoking are increased when a healthcare professional advises him or her to quit. Only 56% of smokers think that smoking should be banned in healthcare organizations, and Saudis were more in favor with the banning than non-Saudis (61.1% vs 42.1%, p<0.001).
Table 3
Responses to individual attitude questionnaire items by participants’ characteristics
| Number of those who answered ‘Yes’ (%) | ||||||||
|---|---|---|---|---|---|---|---|---|
| Characteristics | Tobacco sales should be banned to adolescents | Smoking should be banned in healthcare organization | Healthcare organizations should establish smoking cessation clinics | HCWs should get specific training on cessation techniques | HCWs serve as role models for their patients and public | HCWs should routinely advise their patients who smoke to quit smoking | HCWs have a role in giving advice about smoking cessation to patients | Patients’ chances of quitting smoking increase if a HCW advises him/her |
| Total | 79 (63.2) | 70 (56.0) | 109 (86.5) | 106 (84.8) | 89 (70.6) | 102 (81.6) | 112 (88.9) | 95 (76.6) |
| Profession | ||||||||
| Physician | 10 (62.5) | 5 (31.3) | 15 (88.2) | 16 (94.1) | 10 (58.8) | 16 (94.1) | 17 (100.0) | 14 (82.4) |
| Allied Health | 35 (63.6) | 30 (53.6) | 45 (80.4) | 44 (78.8) | 39 (69.6) | 45 (83.3) | 48 (87.3) | 41 (75.9) |
| Administrative | 38 (62.3) | 39 (65.0) | 55 (91.7) | 51 (86.7) | 45 (75.0) | 46 (75.4) | 53 (86.9) | 45 (75.0) |
| p | 0.988 | 0.048* | 0.200 | 0.247 | 0.423 | 0.188 | 0.289 | 0.817 |
| Age, years | ||||||||
| 19–30 | 35 (57.4) | 35 (56.5) | 52 (82.5) | 54 (85.7) | 44 (69.8) | 49 (79.0) | 55 (88.7) | 49 (79.0) |
| 31–40 | 39 (63.9) | 34 (55.7) | 56 (91.8) | 48 (80.0) | 43 (71.7) | 50 (83.3) | 54 (88.5) | 44 (74.6) |
| ≥ 41 | 9 (81.8) | 5 (50.0) | 8 (80.0) | 9 (90.0) | 8 (72.7) | 9 (81.8) | 10 (90.9) | 8 (72.7) |
| p | 0.289 | 0.930 | 0.261 | 0.588 | 0.966 | 0.830 | 0.973 | 0.807 |
| Gender | ||||||||
| Male | 11 (61.1) | 9 (50.0) | 17 (94.4) | 17 (94.4) | 15 (83.3) | 14 (82.4) | 17 (94.4) | 13 (76.5) |
| Female | 72 (62.6) | 65 (56.5) | 99 (85.3) | 94 (81.7) | 8 (69.0) | 94 (81.0) | 102 (97.9) | 88 (76.5) |
| p | 0.903 | 0.605 | 0.292 | 0.177 | 0.212 | 0.879 | 0.415 | 0.996 |
| Nationality | ||||||||
| Saudi | 59 (61.5) | 58 (61.1) | 83 (86.5) | 82 (86.3) | 74 (77.1) | 75 (78.9) | 82 (85.4) | 75 (78.9) |
| Non-Saudi | 24 (64.9) | 16 (42.1) | 33 (86.8) | 29 (86.3) | 21 (55.3) | 33 (86.8) | 37 (79.4) | 26 (70.3) |
| p | 0.716 | 0.047* | 0.953 | 0.161 | 0.012* | 0.292 | 0.048* | 0.291 |
| Education | ||||||||
| Undergraduate | 50 (56.8) | 49 (55.1) | 72 (81.8) | 72 (82.8) | 63 (17.6) | 69 (78.4) | 76 (86.4) | 64 (72.7) |
| Postgraduate | 32 (25.6) | 25 (55.6) | 45 (95.7) | 39 (84.4) | 32 (69.6) | 39 (86.7) | 43 (93.5) | 37 (84.1) |
| p | 0.063 | 0.989 | 0.026* | 0.756 | 0.806 | 0.249 | 0.215 | 0.147 |
| Work shift | ||||||||
| Yes | 29 (55.8) | 27 (50.9) | 42 (77.8) | 45 (83.3) | 39 (72.2) | 45 (84.9) | 49 (92.5) | 40 (75.5) |
| No | 54 (66.7) | 47 (58.8) | 74 (92.5) | 66 (83.5) | 56 (70.0) | 63 (78.8) | 70 (86.4) | 61 (77.2) |
| p | 0.205 | 0.375 | 0.014* | 0.974 | 0.781 | 0.374 | 0.279 | 0.817 |
Table 4
Responses to individual behavior questionnaire items by participants’ characteristics
| Number of those who answered ‘Yes’ (%) | ||||
|---|---|---|---|---|
| Characteristics | Want to stop smoking now | Tried to stop smoking during the past year | Received help or advice to help you stop smoking | HCWs who smoke less likely to advise patients to stop smoking |
| Total | 131 (64.9) | 131 (70.2) | 132 (57.6) | 132 (75.0) |
| Profession | ||||
| Physician | 11 (64.7) | 11 (68.8) | 8 (47.1) | 10 (58.8) |
| Allied Health | 37 (69.8) | 37 (69.8) | 29 (54.7) | 38 (71.7) |
| Administrative | 36 (60.0) | 43 (70.5) | 39 (63.9) | 50 (82.0) |
| p | 0.553 | 0.990 | 0.377 | 0.120 |
| Age, years | ||||
| 19–30 | 45 (75.0) | 47 (77.0) | 33 (54.1) | 46 (75.4) |
| 31–40 | 32 (53.3) | 35 (59.3) | 37 (61.7) | 44 (73.3) |
| ≥ 41 | 8 (72.7) | 10 (90.9) | 6 (54.5) | 9 (81.8) |
| p | 0.039* | 0.031* | 0.686 | 0.832 |
| Gender | ||||
| Male | 77 (68.1) | 80 (70.8) | 67 (58.8) | 87 (76.3) |
| Female | 8 (44.4) | 12 (66.7) | 9 (50.0) | 12 (66.7) |
| p | 0.050 | 0.722 | 0.448 | 0.380 |
| Nationality | ||||
| Saudi | 61 (65.6) | 64 (68.8) | 58 (61.7) | 71 (75.5) |
| Non-Saudi | 24 (63.2) | 28 (73.7) | 18 (47.4) | 28 (73.7) |
| p | 0.791 | 0.580 | 0.131 | 0.824 |
| Education | ||||
| Undergraduate | 58 (67.4) | 64 (74.4) | 53 (61.6) | 71 (82.6) |
| Postgraduate | 27 (60.0) | 28 (62.2) | 23 (50.0) | 28 (60.9) |
| p | 0.397 | 0.147 | 0.198 | 0.006* |
| Work shift | ||||
| Yes | 39 (76.5) | 40 (80.0) | 30 (58.8) | 37 (72.5) |
| No | 46 (57.5) | 52 (64.2) | 46 (56.8) | 62 (76.5) |
| p | 0.027* | 0.005* | 0.818 | 0.606 |
A large percentage of participants (86.5%) thought that healthcare facilities should establish a smoking cessation clinic, and postgraduates were more enthusiastic about starting cessation clinics (p> 0.001). Almost 65% of current smokers were willing to quit smoking at the time of the survey. In fact, the majority (70%) have actually tried stopping the habit during the year preceding the survey. Those aged 19–30 years were more enthusiastic about instantaneous quitting, while those above 41 years were more likely to have tried to stop smoking a year preceding the study.
DISCUSSION
We always assume that a person’s job would have an impact on his or her life and community. Therefore, a person who works in a medical field should not be practicing unhealthy behaviors but instead should be adopting and supporting the healthy ones. Yet, this assumption is not always true. The results of this survey have shown that the adjusted prevalence of smoking among healthcare practitioners (20.1%) was within the wide range of smoking in the general population of Saudi Arabia (2.4% to 52.3%; median 17.5%)8.
This result was also within results of other studies conducted in the Arab Gulf countries. For example, in the United Arab Emirates and Bahrain, the prevalence of smoking among HCWs was as high as 33.6% and 23%, respectively, whereas the prevalence was lower in countries like Qatar (12%) and Oman (11%)7-9. Searching the literature, we could only identify two studies that measured the smoking situation among HCWs in the western region of KSA13,14. Both studies showed similar results to those of our study with some differences (22.4% and 18.7%, respectively). These differences in the smoking rates between the studies can be attributed to some variations in, for example, sample size, healthcare sittings, study period, and targeted healthcare professionals. When it comes to comparing our results with those of other studies in different regions of the Kingdom, our result was somewhere in the middle. For instance, in the central and south-western regions, the smoking prevalence among HCWs was high (34% and 26%, respectively). On the other hand, a survey done in the eastern region of the country indicated a low percentage of smokers. In 2001, on World No Tobacco Day, the Saudi government declared that Makkah (Mecca) and Medina would become smoke-free cities by implementing actions such as emphasis on banning sales of tobacco within the cities2. These smoke-free initiatives may explain the lower prevalence of smoking among HCWs compared to other regions. Despite the fluctuations in previous results, all these studies agreed on the existence of the problem that needs to be addressed by the Saudi health authorities.
There were significantly more male HCWs smokers than women smokers. Similar trends were observed in previous studies in the Kingdom11,13,19. Saudi Arabia is a very conservative country in relation to women and this cultural factor may explain the gender differences. The current survey found that smoking among physicians was relatively low (10.6%) compared to allied health professionals (18.5%) and administrative workers (30.3%). Physicians receive a high level of education and thus more aware about the health risks of smoking. Therefore, there is a need for formal training on tobacco prevention and cessation within Medical and Nursing schools as part of the core curriculum.
To our knowledge, this is the first study in the KSA to describe nicotine dependence among healthcare providers. Fortunately, our results show that nicotine dependence is generally low. Moreover, these results indicate that administrative staff are the most intensive smokers, besides being the group with the highest smoking prevalence. As a result, smoking cessation programs should focus on this professional group.
The current survey focused on many different aspects of attitude and behavior of HCWs and their roles towards smoking cessation. The study showed very positive results for all HCWs regarding attitude and behavior towards smoking cessation. It demonstrated that about 65% of participants wanted to quit smoking, while 70.2% had actually tried to quit smoking in the past year. It is very clear that the young HCWs have a desire to stop smoking and the older HCWs have actually tried to quit but failed. Furthermore, this study showed that 86.5% of smokers had very high positive attitudes towards establishing smoking cessation clinics. This is also high compared to that reported in other studies10,11. Such results indicate a strong tendency by HCWs to quit smoking and highlight their need for external support. Therefore, establishing smoking cessation services is essential to help those with the desire to quit and who need professional support.
Seventy-five percent of participants thought that health professionals who smoke are less likely to advise their patients to quit smoking. This underlines the need for hard work to reduce smoking amongst healthcare providers who are current smokers. Other studies have only focused on the role of physicians in giving advice to smokers to quit, thus neglecting the role of the other healthcare professions. Most of our participants believed that healthcare professionals have a role in giving advice or information about smoking cessation to patients, and 87.3% were in allied health professions. Allied health workers such as nurses, physiotherapists, and radiologists usually spend a considerable time with their patients and may have a very significant influence. Thus, it is important to include them in any assessments and plans that consider smoking cessation. This has been put into focus by the current study.
More than half of our study subjects agreed that smoking should be banned in healthcare organizations, and 63.2% believed that tobacco sales to adolescents (<18 years old) should also be banned. Such percentages constitute majorities and so indicate that regulatory authorities will receive public support from healthcare employees if such legislation was to be enacted. This is even truer for Saudis.
Limitations
The biggest limitation of this study is that it was confined to a single organization, yet this may be somewhat balanced by the big sample size and that the institution was a big referral center whose employees reflect different sections of healthcare. In contrast, this study’s strength is the measurement of the nicotine dependence of the HCWs. The study did focus mainly on cigarette smoking even though other forms of smoking are still important. More studies are needed to establish smoking cessation programs in all of Makkah.
CONCLUSION
The prevalence of smoking among HCWs in this study parallels reported national values. Generally, the attitude towards smoking cessation is positive, calling for the establishment of smoking cessation clinics at healthcare organizations. This service will not only make such organizations smoke-free but could be a nucleus for high-quality smoking cessation programs that aim to make Makkah city and other cities truly free from smoking.
