Keywords
smoking - tobacco - primary health care
Introduction
Smoking is considered the leading global cause of preventable death, and it is responsible
for ∼ 8 million deaths per year worldwide.[1] According to the United States Census Bureau, from 1990 to 2012, most of the consumption
of cigarettes per person and the highest smoking rates were more observed among adult
men (> 18 years old). Under a historical analysis of the number of cigarettes smoked
per person, there was an increase until 1960, its peak, when, due to the implementation
of public policies and public health efforts, the numbers started decreasing. However,
despite this reduction, smoking is an epidemic and a significant risk factor for public
health.[2]
Smoking molded the illness patterns of the 20th century, increasing the rates of lung
cancer and other cancer types, as well as chronic obstructive pulmonary disease, and
contributing to the rise in cardiovascular illnesses insofar as the mortality by infectious
diseases lowered progressively. The decline in mortality rates by lung cancer and
cardiovascular diseases, notably in men, followed the drop in smoking rates started
in the 1960s.[2]
[3] Over the years, much has been made evident from epidemiological and health research.
The public health intervention paradigm was established, and the findings have been
fundamental in the rise and fall of the smoking epidemic;[4] however, it is still necessary to understand the associations of the variables related
to tobacco cessation, as well as to evaluate new technologies in the context of primary
health care, the gateway to health services.[5]
Several pharmacological and non-pharmacological methods to aid tobacco cessation are
available, and there is good-quality evidence for the efficacy of many of them.[6] As examples, there are the advice of physicians, nicotine replacement therapy,[7]
[8] and the use of bupropion[9] and varenicline.[10] There is also evidence that the combination of pharmacological and behavioral interventions
help people quit smoking. Both pharmacological and behavioral methods are considered
contributors to the global success rates.[11] Among the strategies that have been standing out is motivational interviewing, which
is a communication method defined as “a style of counseling directed towards the individual
to provoke change in behavior, helping them to explore and resolve the ambivalence.”[12]
Primary health care is a strategy capable of offering health services equitably and
efficiently to organize the access to the health systems, and it is composed of essential
attributes: first-contact access, longitudinality and comprehensiveness of the care,
and the coordination of the care and its derivatives: family-centered care, community
guidance, and cultural competence of the professionals.[13] Hence, investigating which are the strategies associated with a higher prevalence
of tobacco cessation are of utmost importance, and will collaborate with primary care
precepts, identifying the determining factors of tobacco cessation and of the reduction
in the prevalence of smokers.
Thus, the present study has the objective of describing and analyzing the factors
associated with tobacco cessation in groups of smokers in primary health care.
Methods
The present is a cross-sectional study nested in a cluster-randomized community clinical
essay, in which which the health units were randomized and blinded, and divided into
two groups: test (motivational interviewing) and control (conventional approach).
The study was conducted at the Community Health Service of the Nossa Senhora da Conceição
hospital in Northern Porto Alegre, RS, Brazil, in the twelve primary health care units
that compose this service. The teams in these units develop a multidisciplinary care
work following the primary health care principles, and since 2005 they promote tobacco
cessation groups following the norms of the Brazilian National Cancer Institute (Instituto
Nacional do Cancer, INCA, in Portuguese) and the Brazilian Ministry of Health, who
defined the group approach as a treatment strategy for tobacco dependence. Each unit
conducts awareness and calling work, forming groups according to spontaneous attendance
by the patients. They develop a cognitive-behavioral approach of at least four sessions,
with this number possibly varying according to the context of the group or coordinating
team. Besides, all twelve units are linked to the Smoking Program of the Community
Health Service, which has coordination in its monitoring and evaluation sector, and
have as a target the formation of at least one group per trimester, or at least three
per year.
A sample calculation was performed to answer the research question of the randomized
clinical essay, estimated from the results of the health units from 2014 and 2015,
which were made available in the annual report.[14] Taking into account a possible loss, we considered an increase of 20%, a significance
level of 5%, and a statistical power of 80%, resulting in a sample of 206 patients.
In total, 329 smokers who participated in the smoking groups of the health units were
investigated and analyzed in this cross-sectional study.
The groups of smokers who received the intervention counted with trained and capacitated
professionals as per the literature by Miller and Rollnick[15] and Silva.[16] The control groups followed conventional methodologies already in use in the health
unit, thus classified in contextual variable Group (intervention; control). Moreover,
the users could also opt to take drugs as per clinical indication, such as patches
(yes; no) and bupropion (yes; no). These possible interventions were analyzed as contextual
exploratory variables in the theoretical conceptual model, in addition to gender (male;
female), monthly income (up to 1 minimum wage; 2 to 5 minimum wages; and more than
5 minimum wages), self-report of cardiopathy (no; yes), self-report of stroke (yes;
no), self-report of depression (yes; no), age they began smoking (up to 18 years old; > 19
years old), number of cigarettes the patient smokes per day (up to 1 pack; 1 to 2
cigarette packs; more than 3 cigarette packs), and the Fagerström test,[17] whose function is to measure and evaluate the degree of nicotine dependence, establishing
a score from 0 to 10 through the sum of points attributed to each answer: 0 to 2:
very low; 3 to 4: low; 5: average; 6 to 7: high; and 8 to 10: very high.[18] In order to be adjusted to the model, the Fagerström test scores had to be categorized
as low (very low and low), average (average), and high (high and very high).
The absolute and relative frequencies of all study variables were calculated. Chi-Squared
tests were performed for the dichotomic variables. The presence of multicollinearity
of variables was assessed through estimations of the variance inflation factor (VIF),
observing that the cutoff values are good (near 1), thus indicating that the variables
are not multicollinear. Poisson regression with robust variance was used to calculate
the gross and adjusted prevalence ratios (PRs) for the outcome of having stopped smoking
at the fourth smoking group session, which was associated with the socioeconomic and
health variables, as well as the possible technologies to aid in tobacco cessation,
considering a significance level of 95%. In the adjusted model, all variables analyzed
were included in the final adjusted model, considering an exploratory analysis. The
model adjustment was evaluated with the Hosmer and Lemeshow test. The data were analyzed
using the Statistical Package for Social Sciences (SPSS, IBM Corp., Armonk, NY, US),
version 19.0.
The research project was submitted to and approved by the Research Ethics Committee
and Plataforma Brazil under CAAE no. 56902516.4.0000.5530, respecting the national
and international ethical guidelines, notably resolution no. 466/12 of the Brazilian
National Health Council of the Ministry of Health (Conselho Nacional de Saúde do ministério
da Saúde, CNS/MS, in Portuguese).
Results
In the present study, 329 smokers who participated in smoking groups in primary health
care were evaluated. Of the participants, 182 (55.31%) smokers quit smoking after
the fourth group session. [Table 1] describes the sample characteristics, as well as the gross PRs. Most individuals
who quit the habit of smoking were women (n = 121, 66.5%) with a monthly income of 2 to 5 minimum wages (n = 88, 77.9%). They claimed to not have cardiopathies (n = 133, 88.1%), not have suffered strokes (n = 138, 91.4%), and not have depression (n = 98, 64.9%). The age in which most of the smokers started smoking was ≤ 18 years
old (n = 111, 76.0%), and they smoked around 1 pack of cigarettes per day (n = 100, 69.9%). The Fagerström score was high for most participants (n = 93, 51.1%). It was also found that most participants of the smoking groups made
use of nicotine-replacement patches (n = 163, 89.6%) and did not use bupropion (n = 132, 72.5%).
Table 1
Characteristics of the studied sample and gross prevalence ratios associated with
tobacco cessation on the fourth therapeutic consultation
Variable
|
Yes (n = 182)
|
No (n = 147)
|
95% confidence interval
|
p-value
|
Patient gender
|
|
|
|
|
Male
|
61 (33.5%)
|
39 (26.7%)
|
1
|
−
|
Female
|
121 (66.5%)
|
107 (73.3%)
|
1.05 (0.94–1.17)
|
0.374
|
Monthly income
|
|
|
|
|
≤ 1 minimum wage
|
19 (16.8%)
|
19 (26.0%)
|
1
|
−
|
2 to 5 minimum wages
|
88 (77.9%)
|
53 (72.6%)
|
0.93 (0.84–1.04)
|
0.219
|
> 5 minimum wages
|
6 (5.3%)
|
1 (1.4%)
|
0.79 (0.64–0.98)
|
0.036
|
Cardiopathy
|
|
|
|
|
No
|
133 (88.1%)
|
110 (93.2%)
|
1
|
−
|
Yes
|
18 (11.9%)
|
8 (6.8%)
|
0.87 (0.75–1.01)
|
0.071
|
Stroke history
|
|
|
|
|
No
|
138 (91.4%)
|
114 (96.6%)
|
1
|
−
|
Yes
|
13 (8.6%)
|
4 (3.4%)
|
0.92 (0.71–1.20)
|
0.549
|
Depression
|
|
|
|
|
No
|
98 (64.9%)
|
65 (55.1%)
|
1
|
−
|
Yes
|
53 (35.1%)
|
53 (44.9%)
|
1.11 (1.02–1.22)
|
0.021
|
Age they began smoking
|
|
|
|
|
≤ 18 years old
|
111 (76.0%)
|
94 (81.7%)
|
1
|
−
|
≥ 19 years old
|
35 (24.0%)
|
21 (18.3%)
|
0.97 (0.87–1.08)
|
0.582
|
Number of cigarettes smoked per day
|
|
|
|
|
≤ 1 pack
|
100 (69.9%)
|
70 (60.3%)
|
1
|
−
|
1 to 2 packs
|
39 (27.3%)
|
39 (33.6%)
|
0.98 (0.88–1.10)
|
0.763
|
≥ 3 packs
|
4 (2.8%)
|
7 (6.0%)
|
1.08 (0.92–1.28)
|
0.321
|
Fagerström Score
|
|
|
|
|
Low
|
42 (23.1%)
|
27 (18.4%)
|
1
|
−
|
Average
|
47 (25.8%)
|
28 (19.0%)
|
0.97 (0.86–1.09)
|
0.640
|
High
|
93 (51.1%)
|
92 (62.6%)
|
1.03 (0.91–1.16)
|
0.611
|
Approach group
|
|
|
|
|
Conventional
|
72 (39.6%)
|
79 (53.7%)
|
1
|
−
|
Motivational interviewing
|
110 (60.4%)
|
68 (46.3%)
|
0.91 (0.83–0.99)
|
0.047
|
Patch
|
|
|
|
|
No
|
19 (10.4%)
|
78 (53.1%)
|
1
|
−
|
Yes
|
163 (89.6%)
|
69 (46.9%)
|
1.36 (1.24–1.48)
|
< 0.001
|
Bupropion
|
|
|
|
|
No
|
132 (72.5%)
|
122 (83.0%)
|
1
|
−
|
Yes
|
50 (27.5%)
|
25 (17.0%)
|
1.16 (1.03–1.31)
|
0.019
|
Besides the sociodemographic characteristics, [Table 2] describes the PRs adjusted relative to quitting smoking after the fourth session
of motivational interviewing. One may observe that there is a statistical significance
(p < 0.05) for smokers who presented cardiopathies (PR = 0.87; 95%CI = 0.75 to 1.01),
had depression (PR = 1.11; 95%CI = 1.02 to 1.22), were part of the motivational interviewing
approach group (PR = 1.21; 95%CI = 1.13 to 2.01), and used patches (PR = 1.36; 95%CI = 1.24
to 1.48) and bupropion (PR = 1.16; 95%CI = 1.03 to 1.31).
Table 2
Exploratory adjusted prevalence ratios of the contextual variables studied associated
with tobacco cessation on the fourth therapeutic consultation
Variable
|
Prevalence ratio (95% confidence interval)
|
p-value
|
Patient gender
|
|
|
Male
|
1
|
−
|
Female
|
1.05 (0.94–1.17)
|
0.374
|
Montlhy income
|
|
|
≤ 1 minimum wage
|
1
|
−
|
2 to 5 minimum wages
|
0.93 (0.84–1.04)
|
0.219
|
> 5 minimum wages
|
0.79 (0.64–0.98)
|
0.036
|
Cardiopathy
|
|
|
No
|
1
|
−
|
Yes
|
0.87 (0.75–1.01)
|
0.071
|
Stroke history
|
|
|
No
|
1
|
−
|
Yes
|
0.92 (0.71–1.20)
|
0.549
|
Depression
|
|
|
No
|
1
|
−
|
Yes
|
1.11 (1.02–1.22)
|
0.021
|
Age they began smoking
|
|
|
≤ 18 years old
|
1
|
−
|
≥ 19 years old
|
0.97 (0.87–1.08)
|
0.582
|
Number of cigarettes smoked per day
|
|
|
≤ 1 pack
|
1
|
−
|
1 to 2 packs
|
0.98 (0.88–1.10)
|
0.763
|
≥ 3 cigarette packs
|
1.08 (0.92–1.28)
|
0.321
|
Fagerström Score
|
|
|
Low
|
1
|
−
|
Average
|
0.97 (0.86–1.09)
|
0.640
|
High
|
1.03 (0.91–1.16)
|
0.611
|
Approach group
|
|
|
Conventional
|
1
|
−
|
Motivational interviewing
|
1.21 (1.13–2.01)
|
0.027
|
Patch
|
|
|
No
|
1
|
−
|
Yes
|
1.36 (1.24–1.48)
|
< 0.001
|
Bupropion
|
|
|
No
|
1
|
−
|
Yes
|
1.16 (1.03–1.31)
|
0.019
|
Discussion
The prevalence of tobacco cessation after the fourth smoking group therapeutic session
held in primary health care was of 182 (55.31%). Individuals with depression who were
in the group that underwent the motivational interviewing approach, used patches,
or made use of bupropion remained significantly associated with tobacco cessation.
The characterization of sociodemographic variables and of the nicotine dependence
of smokers is useful to guide the development of tobacco cessation programs. Well-conducted
programs are particularly important from the economic point of view because they increase
tobacco abstinence and, consequently, may prevent a wide variety of chronic illnesses.
The assumption that the mental health of smokers with depression may worsen after
abstinence is untrue, given that this relationship is not evident in the literature.[19] Moreover, the present study showed better tobacco cessation results in individuals
with a diagnosis of depression when in group therapy, which may be due to the support
and exchange of experiences among the participants. Likewise, depressive individuals
must not be seen as users who are challenging to manage on account of their mental
health condition.[20]
The positive association between tobacco cessation and the use of bupropion demonstrates
the efficacy of the medication, as well as its interface with the indirect effect
on the treatment of depression, which may be related to the significant results for
the users with depression. Bupropion is an antidepressant that acts as a blocker of
the reuptake of dopamine and noradrenaline, with dosages between 150 and 300 mg/day,
just as the nicotinic medicines, which compose what is called nicotine replacement
therapy (NRT), such as nicotine patches and chewing gum.[21] In the present study, the nicotine patch, which has the objective of alleviating
the symptoms of craving smoking, also demonstrated a statistical significance. Added
to the medication issues and their interfaces with depression, motivational interviewing
may further empower the group participants to manage to establish their own change
plan and fulfill it.[22] The quadrilateral formed by depression, bupropion, patch use, and motivational interviewing
demonstrated a positive effect on tobacco cessation.
Corroborating the findings of the present research, a study[23] demonstrated the beneficial effect of the use of nicotine patches and bupropion.
Besides, the authors[23] concluded that the pharmacological support, associated with cognitive-behavioral
counseling, was fundamental for the obtention of the high abstinence levels in their
study. Among the several strategies to promote behavior changes, a technique has the
potential to be quite useful to the primary health care teams as a way to improve
the results of interventions related to the cessation of smoking. Among the methods
explored in the literature, there is motivational interviewing, which is a communication
approach centered on the person, suited to mobilize the change concerning dysfunctional
behaviors. When directed toward tobacco use, motivational interviewing is a smoker-focused
approach that proposes to help resolve the ambivalences relative to smoking, to promote
the success of the individual in changing behaviors related to cigarettes. During
therapy, a communicative scenario must be built between the patient and the health
professional to create a favorable reflexive listening environment, helping the participants
in the verbalization of conflicts, fears, and expectations.[24] This process led to significant results in the present study.
Regarding the therapy developed in groups, it is known that groups are part of people's
lives, and they are fundamental to socialization and emotional support.[25] The evidence demonstrates that day-to-day life is marked by group experiences, given
that individuals are always involved in relationships with other people, be it at
work, at home, during leisure activities, and with friends. Based on this theory,
it was observed that therapeutic groups with a cognitive-behavioral approach are efficient
due to the relationship established and proposed in the group. During these moments,
users value the group and feel valued by the other members, building a stable, reliable,
strong, and adequate therapeutic relationship, creating the opportunity for an effective
therapy condition.[26] A study[27] demonstrated that the feeling of belonging to a group, of support and backing by
the group is fundamental in therapeutic success. The sense of belonging to the group,
the identification and cooperation are primordial in the success of the treatment.
When the individual trusts the group, they feel more at ease to expose their thoughts
and beliefs. The feedback provided by the therapist and the group helps correct distorted
cognitions and reinforces more realistic evaluations.[27]
Lastly, it is noteworthy that primary care is as an opportune scenario for the execution
of smoking control actions. Primary health care organizes and rationalizes all the
resources, both basic and specialized, directed toward the promotion, maintenance,
and improvement of health.[13] Strengthening it with an emphasis on health promotion actions enables the improvement
in the health status and the reduction of iniquities and costs.[28] Therefore, the fragmented services need innovative strategies that enable the execution
of preventive actions in the community and its coordinated and comprehensive functioning.[29]
Conclusion
We conclude that the more considerable tobacco cessation in therapeutic groups in
primary health care is strongly associated with the use of the motivational interviewing
approach, bupropion, nicotine patches, and with depression. In this sense, these variables
must be considered by the professionals who handle smoking, thus promoting coordinated,
humanized, and comprehensive care to the population of smokers.