To examine perceived barriers and motivators for smoking cessation among caregivers of inpatient pediatric patients.
From December 2014 to June 2018, trained tobacco counselors conducted motivational interviews (MI) with caregivers of inpatient pediatric patients ages 0 to 17, who participated in the intervention arm of a smoking cessation randomized controlled trial. By using NVivo 12 software, the first MI session with each caregiver was evaluated by 3 individuals to identify and categorize motivators and barriers; agreement among reviewers was reached. Barriers and motivators were examined in bivariable analysis with χ2 or Fisher’s exact tests for categorical factors and with t-tests for continuous factors by using SAS 9.4 software.
Of the 124 caregivers randomized to intervention, 99 subjects (80%) completed ≥1 MI sessions. The most prevalent barriers to cessation were stress (57%) and social influence (37%).
The most prevalent motivators were desire to lead a healthy life (54%) and desire to improve the child and family’s well-being (47%). Older parent age was associated with wanting to lead a healthy life, and younger child age was associated with wanting to improve the child and family’s well-being.
Understanding barriers and motivators to cessation among caregivers is crucial in reducing pediatric secondhand smoke (SHS). When developing caregiver cessation programs in an inpatient clinic encounter, caregiver barriers and motivators may help in targeting education and strategies to help counselors and clinicians better identify and support caregivers who wish to quit smoking.
Many children experience daily exposure to SHS despite known health risks. Whereas the general population has witnessed a steady decline in SHS exposure from 87.5% to 25.2% from 1988 to 2014, children still experienced the highest SHS exposure in 2013 to 2014 at 37.9% compared to other populations.1 These consistently higher levels of SHS exposure can lead to chronic and acute health issues, such as ear infections, more frequent and severe asthma attacks, bronchiolitis and pneumonia, and a greater risk for sudden infant death syndrome.2
Approximately 40% of hospitalized children have been exposed to SHS.3,4 This vulnerable time in a child’s care offers a unique opportunity to connect caregivers with smoking cessation and exposure reduction resources.5,6 By building a cessation program specific to caregiver needs, institutions can expand their services and reduce SHS exposure of children.
Motivational interviewing (MI), a type of counseling that empowers people to create behavioral changes through internal motivation, is often used when addressing addictive behaviors.7 MI counseling provides a useful therapeutic base for smoking cessation by giving the participant more agency in the cessation process.8,9 Health care providers or supporting staff can be trained as MI counselors or receive instruction about MI to elicit change and support their patients in creating individualized goals and cessation tools. When this occurs, patients are then more likely to commit and follow through on a plan that they chose and created to fit their life.10,11
Research on specific barriers and motivators for smoking cessation can help inform the creation of successful cessation programs and can give providers specific insight to guide their cessation discussions. Previous research found that the major barriers to smoking cessation were weight gain and stress, whereas other researchers found other major barriers to smoking cessation to be environmental factors, easy access to buying cigarettes, and the perception that everyone smokes.9 By uncovering specific barriers and motivators for caregivers of hospitalized children, health care providers may be able to improve cessation efforts in that setting. The aim of this study was to identify the barriers and motivators to smoking for caregivers of hospitalized children and to identify common themes that can be addressed in future smoking cessation resources for health care providers.
Methods
Study Population
This is a secondary analysis of field notes recorded during and after motivational interviews, which served as the intervention, during a randomized controlled trial (registration number NCT02281864). This trial consisted of a smoking cessation motivational interviewing (MI) intervention for the caregivers of inpatients at a 412-bed free-standing pediatric hospital in Aurora, Colorado from December 2014 to April 2018. Enrolled families had children 0 to 17 years of age with at least 1 legal caregiver who currently smoked tobacco and lived at home with the child.
Ethics, Consent and Permissions
Written consent was obtained for all study procedures. The University of Colorado Institutional Review Board reviewed and approved the study. The study was overseen by a Data Safety Monitoring Committee who raised no concerns.
Intervention
Motivational interviewing (MI) was used as the intervention arm for this study. MI was used along with the 5A model: ask the caregiver about their smoking habits, assess the caregiver’s readiness to quit or reduce smoke exposure, advise the caregiver on reasons to quit or reduce smoking, assist the caregiver in their cessation or reduction plan through MI sessions and nicotine replacement therapy (NRT), and arrange follow up for the caregiver by referring them either to their local quitline or primary care physician.7
Caregivers randomly assigned to the intervention arm were asked to participate in at least 1 MI session with a tobacco coach trained in MI techniques. The first MI session was used for this analysis. Caregivers were offered up to 3 motivational interview follow-up sessions via phone once their child discharged from the hospital. Tobacco counselors took notes on the MI sessions using a standardized note-taking form with prompting questions, which focused on the caregivers’ past smoking habits, current smoking habits, future goals, current barriers to quitting or reduction, strategies for obtaining their goals, and motivators for quitting or reduction. The notes were then transcribed into REDCap, a secure, electronic application designed for data capture.12 A caregiver survey, distributed at enrollment with both the intervention and control groups before randomization, included questions on demographics and number of smokers in the child’s primary home or homes. The study team regularly reviewed the tobacco counselors’ MI sessions, either by audiotape or by in-person observation of sessions, to ensure standardization of MI across tobacco counselors.
The study cohort was limited to subjects or caregivers who completed the first MI visit. The subjects’ responses (written answers on the note-taking form) to questions related to smoking habits and cessation, which were obtained during MI, were coded by 2 individuals (a senior research coordinator and a pediatric hospitalist) by using basic interpretative qualitative study methodology.13 Disagreements were resolved by having a third person (a pediatric pulmonologist) code the subjects’ comments and then having a discussion among all 3 coders take place until consensus was reached. Codes were then categorized by these individuals to identify themes around the barriers and motivators to smoking.
Bivariable analysis of the barriers and motivators (indicated versus not indicated) was performed with χ2 tests and Fisher’s exact tests for categorical factors and t-tests for continuous factors. Multivariable logistic regression was used to assess demographic and family characteristics associated with the top barriers and motivators.14 Predictors included in the multivariable analysis were identified a priori and through clinical and statistical significance in the bivariable analysis. Data were analyzed by using SAS version 9.4 software. All statistical tests were performed with a level of significance of 0.05.
Results
Of 124 subjects randomly assigned to the intervention, 99 (80%) completed their first MI session and were included in this analysis. Twenty-five subjects did not complete the first MI session because of scheduling conflicts and early discharge from the hospital. The average age of the caregiver completing the MI session was 31.6 years; 69% were female caregivers; 31% were male caregivers; the average age of the caregiver’s enrolled child was 4.7 years. Fifty-three percent of the caregivers were White, 25% were Hispanic, 16% were African American, and 6% were of another race or ethnicity. Fifty-six percent of caregivers had some college education or more, and 39% of households had >1 smoker in the home.
Barriers
The barriers to smoking cessation identified included stress; social influence; emotions driving behavior such as self-reported anxiety, self-reported depression, and anger; personal time when smoking is relaxing; addictive habit; mental preparedness; a means to pass the time; access to cigarettes; and association with consumption of food and drinking (Table 1). Stress (57%) and social influence (37%) were the most prevalent barriers. In bivariable analysis, older age of child (mean [SD]: 8.0 [6.5] years vs 4.5 [4.7] years) and older age of parent (mean [SD] 37.6 [9.8] years vs 31.1 [6.8] years) were associated with emotions driving behavior as a barrier. More parents of boys than girls indicated “personal time during which smoking was relaxing” as a barrier to smoking cessation (35% vs 19%) (Table 2). Predictors included in the multivariable analysis for the barrier of stress were race and ethnicity, sex, relationship to child, number of smokers in home, and age of parent. Predictors included in the multivariable analysis for social influence barriers were race and ethnicity, sex, relationship to child, number of smokers in home, and a rating of the amount of encouragement received from family and friends to stop smoking. Multivariable analysis did not identify any significant predictors of endorsing stress triggers or social influence barriers.
Barriers and Motivators to Smoking Cessation
Motivators . | Excerpts from MI Notes . |
---|---|
Barriers | |
Stress triggers smoking54 | |
Stress | Uses smoking as a stress reliever |
Work stress | Coworkers smoke during breaks |
Smokes with coworkers | |
Social influence54 | |
Lack of support system | Lives with her mom and her mom does not want to quit. It's family time for the two of them |
Other people smoking | Not enough support from friends or family who also smoke |
Social aspect/community | |
Work break | |
Emotions driving behavior9 | |
Anger | Anxiety is trigger |
Depression (self-reported) | Has been smoking since 13 and feels it defines who she is |
Anxiety (self-reported) | |
Fatigue | |
Identity concerns | |
Personal time during which smoking is relaxing25 | |
Calming/relaxing | Oftentimes he smokes to find some alone time |
Me time | Time for herself |
Uses smoking for her “me time” | |
Addictive habit32 | |
Habit | Nicotine withdrawal, having quit before and going back to it. Worried about “who he becomes once he quits” |
Withdrawals | |
Cravings | |
Enjoy cigarettes | |
Needs to keep hands busy | |
Oral fixation | |
Mental preparedness7 | |
Confidence | Unsure if they are ready to quit |
Not ready | |
A means to “pass the time”21 | |
Driving | Helps cure boredom and helps pass the time |
Free time | |
Boredom | |
Lack of transportation | |
Access to cigarettes10 | |
Easy access to smoking at work | Struggles with smoking on the job as they can be purchased anytime there |
Easy access to cigarettes | FOC sells cigarettes on his job daily |
Associated with consumption of food and drinking15 | |
Coffee | Social gatherings when drinking |
Eating | Smoking is a social activity for him |
Drinking | Afraid of weight gain – unsure of quitting |
Weight gain | |
Motivators | |
Negative side effects of cigarette smoking13 | |
Bad taste | Feels lightheaded, short of breath, and nauseous all the time from smoke |
Hate the smell | |
Bad breath | |
Financial concerns16 | |
Finance | Save on the cost of cigarettes |
Tired of wasting money and doesn't like the way it controls her actions | |
Social influence37 | |
Positive support system | My husband and friend we are all wanting to quit together |
Daughter or son requests parent to quit | |
Time consuming | |
Don’t want to be like parent | |
Family member illness | |
Emotions driving behavior8 | |
Guilt | Daughter asks him to quit and he feels guilty |
Isolating | |
Stigma | |
Desire to lead a healthy life56 | |
Pursuit of good health | Wants to reduce to quit for my health |
Having more energy | Hates waking up to a fit of coughing, and he knows it will kill him |
Role model | Make sure around for daughter and not being on oxygen |
Don't want kids to smoke (4-year-old play smoked) | |
Desire to improve child or family’s well-being48 | |
Child’s current admission | Daughter’s health. Wants to quit and leave habit behind |
Child’s health | The health of her kids, wants to prevent asthma |
For child | |
For partner | |
Getting child to quit | |
Religious reasons1 | |
Religion |
Motivators . | Excerpts from MI Notes . |
---|---|
Barriers | |
Stress triggers smoking54 | |
Stress | Uses smoking as a stress reliever |
Work stress | Coworkers smoke during breaks |
Smokes with coworkers | |
Social influence54 | |
Lack of support system | Lives with her mom and her mom does not want to quit. It's family time for the two of them |
Other people smoking | Not enough support from friends or family who also smoke |
Social aspect/community | |
Work break | |
Emotions driving behavior9 | |
Anger | Anxiety is trigger |
Depression (self-reported) | Has been smoking since 13 and feels it defines who she is |
Anxiety (self-reported) | |
Fatigue | |
Identity concerns | |
Personal time during which smoking is relaxing25 | |
Calming/relaxing | Oftentimes he smokes to find some alone time |
Me time | Time for herself |
Uses smoking for her “me time” | |
Addictive habit32 | |
Habit | Nicotine withdrawal, having quit before and going back to it. Worried about “who he becomes once he quits” |
Withdrawals | |
Cravings | |
Enjoy cigarettes | |
Needs to keep hands busy | |
Oral fixation | |
Mental preparedness7 | |
Confidence | Unsure if they are ready to quit |
Not ready | |
A means to “pass the time”21 | |
Driving | Helps cure boredom and helps pass the time |
Free time | |
Boredom | |
Lack of transportation | |
Access to cigarettes10 | |
Easy access to smoking at work | Struggles with smoking on the job as they can be purchased anytime there |
Easy access to cigarettes | FOC sells cigarettes on his job daily |
Associated with consumption of food and drinking15 | |
Coffee | Social gatherings when drinking |
Eating | Smoking is a social activity for him |
Drinking | Afraid of weight gain – unsure of quitting |
Weight gain | |
Motivators | |
Negative side effects of cigarette smoking13 | |
Bad taste | Feels lightheaded, short of breath, and nauseous all the time from smoke |
Hate the smell | |
Bad breath | |
Financial concerns16 | |
Finance | Save on the cost of cigarettes |
Tired of wasting money and doesn't like the way it controls her actions | |
Social influence37 | |
Positive support system | My husband and friend we are all wanting to quit together |
Daughter or son requests parent to quit | |
Time consuming | |
Don’t want to be like parent | |
Family member illness | |
Emotions driving behavior8 | |
Guilt | Daughter asks him to quit and he feels guilty |
Isolating | |
Stigma | |
Desire to lead a healthy life56 | |
Pursuit of good health | Wants to reduce to quit for my health |
Having more energy | Hates waking up to a fit of coughing, and he knows it will kill him |
Role model | Make sure around for daughter and not being on oxygen |
Don't want kids to smoke (4-year-old play smoked) | |
Desire to improve child or family’s well-being48 | |
Child’s current admission | Daughter’s health. Wants to quit and leave habit behind |
Child’s health | The health of her kids, wants to prevent asthma |
For child | |
For partner | |
Getting child to quit | |
Religious reasons1 | |
Religion |
Bivariable Analysis of Barriers
Variables . | Total Cohort, n (col %) . | Stress Triggers Smoking, n (row %) . | Social Influence, n (row %) . | Emotions Driving Behavior, n (row %) . | Personal Time During Which Smoking Is Relaxing, n (row %) . | Addictive Habit, n (row %) . | Mental Preparedness, n (row %) . | A Means to Pass the Time, n (row %) . | Access to Cigarettes, n (row %) . | Association With Consumption of Food and Drinking, n (row %) . |
---|---|---|---|---|---|---|---|---|---|---|
Overall | 99 (100) | 56 (57) | 37 (37) | 9 (9) | 27 (27) | 31 (31) | 9 (9) | 20 (20) | 8 (8) | 13 (13) |
Child's sex | ||||||||||
Male | 51 (52) | 30 (59) | 23 (45) | 6 (12) | 18 (35) | 20 (39) | 4 (8) | 7 (14) | 3 (6) | 8 (16) |
Female | 48 (48) | 26 (54) | 14 (29) | 3 (6) | 9 (19) | 11 (23) | 5 (10) | 13 (27) | 5 (10) | 5 (10) |
Age of child, y | ||||||||||
Mean (STD) | 4.7 (4.9) | 4.7 (4.9) | 4.1 (4.2) | 8.0 (6.5)* | 5.0 (5.4) | 4.5 (5.2) | 3.5 (4.5) | 5.8 (6.2) | 3.5 (2.7) | 4.4 (4.6) |
Parent's age, y | ||||||||||
Mean (STD) | 31.6 (7.5) | 31.7 (7.5) | 30.9 (7.0) | 37.6 (9.8)* | 32.3 (7.7) | 31.5 (9.3) | 29.3 (7.1) | 31.5 (7.5) | 30.8 (5.4) | 32.2 (6.6) |
Relationship to child | ||||||||||
Mother | 68 (69) | 40 (59) | 23 (34) | 5 (7) | 17 (25) | 21 (31) | 8 (12) | 12 (18) | 5 (7) | 8 (12) |
Father | 31 (31) | 16 (52) | 14 (45) | 4 (13) | 10 (32) | 10 (32) | 1 (3) | 8 (26) | 3 (10) | 5 (16) |
Parent race/ethnicity | ||||||||||
Hispanic | 24 (25) | 16 (67) | 6 (25) | 1 (4) | 7 (29) | 4 (17) | 3 (13) | 3 (13) | 1 (4) | 4 (17) |
White | 50 (53) | 25 (50) | 21 (42) | 6 (12) | 15 (30) | 19 (38) | 3 (6) | 15 (30) | 5 (10) | 7 (14) |
African American | 15 (16) | 9 (60) | 6 (40) | 2 (13) | 3 (20) | 5 (33) | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
Other | 6 (6) | 3 (50) | 3 (50) | 0 (0) | 2 (33) | 0 (0) | 2 (33) | 1 (17) | 1 (17) | 0 (0) |
What is the highest grade or year of school you have attended? | ||||||||||
High School or less | 42 (44) | 25 (60) | 17 (40) | 1 (2) | 12 (29) | 11 (26) | 3 (7) | 8 (19) | 3 (7) | 5 (12) |
Some college or more | 54 (56) | 30 (56) | 20 (37) | 7 (13) | 14 (26) | 20 (37) | 5 (9) | 12 (22) | 5 (9) | 8 (15) |
What is the corrected number of smokers in the home? | ||||||||||
1 | 60 (61) | 30 (50) | 22 (37) | 7 (12) | 14 (23) | 16 (27) | 5 (8) | 10 (17) | 5 (8) | 5 (8) |
≥2 | 39 (39) | 26 (67) | 15 (38) | 2 (5) | 13 (33) | 15 (38) | 4 (10) | 10 (26) | 3 (8) | 8 (21) |
Variables . | Total Cohort, n (col %) . | Stress Triggers Smoking, n (row %) . | Social Influence, n (row %) . | Emotions Driving Behavior, n (row %) . | Personal Time During Which Smoking Is Relaxing, n (row %) . | Addictive Habit, n (row %) . | Mental Preparedness, n (row %) . | A Means to Pass the Time, n (row %) . | Access to Cigarettes, n (row %) . | Association With Consumption of Food and Drinking, n (row %) . |
---|---|---|---|---|---|---|---|---|---|---|
Overall | 99 (100) | 56 (57) | 37 (37) | 9 (9) | 27 (27) | 31 (31) | 9 (9) | 20 (20) | 8 (8) | 13 (13) |
Child's sex | ||||||||||
Male | 51 (52) | 30 (59) | 23 (45) | 6 (12) | 18 (35) | 20 (39) | 4 (8) | 7 (14) | 3 (6) | 8 (16) |
Female | 48 (48) | 26 (54) | 14 (29) | 3 (6) | 9 (19) | 11 (23) | 5 (10) | 13 (27) | 5 (10) | 5 (10) |
Age of child, y | ||||||||||
Mean (STD) | 4.7 (4.9) | 4.7 (4.9) | 4.1 (4.2) | 8.0 (6.5)* | 5.0 (5.4) | 4.5 (5.2) | 3.5 (4.5) | 5.8 (6.2) | 3.5 (2.7) | 4.4 (4.6) |
Parent's age, y | ||||||||||
Mean (STD) | 31.6 (7.5) | 31.7 (7.5) | 30.9 (7.0) | 37.6 (9.8)* | 32.3 (7.7) | 31.5 (9.3) | 29.3 (7.1) | 31.5 (7.5) | 30.8 (5.4) | 32.2 (6.6) |
Relationship to child | ||||||||||
Mother | 68 (69) | 40 (59) | 23 (34) | 5 (7) | 17 (25) | 21 (31) | 8 (12) | 12 (18) | 5 (7) | 8 (12) |
Father | 31 (31) | 16 (52) | 14 (45) | 4 (13) | 10 (32) | 10 (32) | 1 (3) | 8 (26) | 3 (10) | 5 (16) |
Parent race/ethnicity | ||||||||||
Hispanic | 24 (25) | 16 (67) | 6 (25) | 1 (4) | 7 (29) | 4 (17) | 3 (13) | 3 (13) | 1 (4) | 4 (17) |
White | 50 (53) | 25 (50) | 21 (42) | 6 (12) | 15 (30) | 19 (38) | 3 (6) | 15 (30) | 5 (10) | 7 (14) |
African American | 15 (16) | 9 (60) | 6 (40) | 2 (13) | 3 (20) | 5 (33) | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
Other | 6 (6) | 3 (50) | 3 (50) | 0 (0) | 2 (33) | 0 (0) | 2 (33) | 1 (17) | 1 (17) | 0 (0) |
What is the highest grade or year of school you have attended? | ||||||||||
High School or less | 42 (44) | 25 (60) | 17 (40) | 1 (2) | 12 (29) | 11 (26) | 3 (7) | 8 (19) | 3 (7) | 5 (12) |
Some college or more | 54 (56) | 30 (56) | 20 (37) | 7 (13) | 14 (26) | 20 (37) | 5 (9) | 12 (22) | 5 (9) | 8 (15) |
What is the corrected number of smokers in the home? | ||||||||||
1 | 60 (61) | 30 (50) | 22 (37) | 7 (12) | 14 (23) | 16 (27) | 5 (8) | 10 (17) | 5 (8) | 5 (8) |
≥2 | 39 (39) | 26 (67) | 15 (38) | 2 (5) | 13 (33) | 15 (38) | 4 (10) | 10 (26) | 3 (8) | 8 (21) |
Values tabulated include proportion (percent) and mean (SD) for the respondents that cited the item as a barrier. The comparison groups (not listed in table) are respondents that did not cite item as a barrier.
P < .05.
Motivators
The motivators to smoking cessation identified negative side effects of cigarette smoking, financial concerns, social influence, emotions driving behavior such as stigma of smoking and feelings of guilt while smoking, desire to lead a healthy life, desire to improve the child or family’s well-being, and religious reasons (Table 1). Desire to lead a healthy life (54%) and desire to improve the child or family’s well-being (47%) were the most prevalent motivators. In bivariable analysis, older parent age (mean [SD]: 33.1 [6.8] years vs 30.0 [7.1] years) was associated with the desire to lead a healthy life as a motivator, and younger child age (mean [SD]: 3.2 [4.0] years vs 6.0 [5.3] years) was associated with desire to improve the child or family’s well-being as a motivator (Table 3). Predictors in the multivariable model for the desire to a lead healthy life included relationship to child, education of parent, age of parent, and number of smokers in home. However, none were found significant in the multivariable analysis. Predictors in the multivariable model for the desire to improve the child or family’s well-being included relationship to child, education of parent, number of smokers in home, and age of child. After adjusting for other covariates, fewer smokers in the home and younger age of child were associated with endorsing desire to improve the child or family’s well-being as a motivator (P = .0192 and .0089, respectively) (Table 4).
Bivariable Analysis of Motivators
Variables . | Total Cohort, n (col %) . | Negative Side Effects of Cigarette Smoking, n (row %) . | Financial Concerns, n (row %) . | Social Influence Behavior, n (row %) . | Emotions Driving Behavior, n (row %) . | Desire to Lead a Healthy Life, n (row %) . | Desire to Improve Child or Family’s Well-being, n (row %) . | Religious Reasons, n (row %) . |
---|---|---|---|---|---|---|---|---|
Overall | 99 (100) | 15 (15) | 17 (17) | 33 (33) | 9 (9) | 53 (54) | 47 (47) | 1 (1) |
Child's sex | ||||||||
Male | 51 (52) | 10 (20) | 5 (10) | 14 (27) | 3 (6) | 28 (55) | 24 (47) | 1 (2) |
Female | 48 (48) | 5 (10) | 12 (25) | 19 (40) | 6 (13) | 25 (52) | 23 (48) | 0 (0) |
Age of child, y | ||||||||
Mean (SD) | 4.7 (4.9) | 3.4 (4.3) | 4.6 (5.5) | 4.6 (4.8) | 4.5 (3.5) | 5.4 (5.3) | 3.2 (4.0)* | 7.5a |
Parent's age, y | ||||||||
Mean (SD) | 31.6 (7.5) | 31.1 (8.2) | 31.1 (5.9) | 31.0 (6.2) | 32.1 (5.8) | 33.1 (7.6)* | 30.1 (6.8)* | 48.0*a |
Relationship to child | ||||||||
Mother | 68 (69) | 10 (15) | 11 (16) | 18 (26)* | 6 (9) | 39 (57) | 31 (46) | 1 (1) |
Father | 31 (31) | 5 (16) | 6 (19) | 15 (48)* | 3 (10) | 14 (45) | 16 (52) | 0 (0) |
Parent race/ethnicity | ||||||||
Hispanic | 24 (25) | 3 (13) | 4 (17) | 6 (25) | 5 (21) | 11 (46) | 10 (42) | 0 (0) |
White | 50 (53) | 5 (10) | 8 (16) | 18 (36) | 2 (4) | 29 (58) | 21 (42) | 0 (0) |
African American | 15 (16) | 4 (27) | 3 (20) | 5 (33) | 2 (13) | 7 (47) | 9 (60) | 1 (7) |
Other | 6 (6) | 2 (33) | 1 (17) | 2 (33) | 0 (0) | 4 (67) | 3 (50) | 0 (0) |
What is the highest grade or year of school you have? | ||||||||
High School or less | 42 (44) | 6 (14) | 6 (14) | 15 (36) | 3 (7) | 21 (50) | 19 (45) | 0 (0) |
Some college or more | 54 (56) | 9 (17) | 11 (20) | 16 (30) | 5 (9) | 32 (59) | 27 (50) | 1 (2) |
What is the corrected number of smokers in the home? | ||||||||
High School or less | 42 (44) | 6 (14) | 6 (14) | 15 (36) | 3 (7) | 21 (50) | 19 (45) | 0 (0) |
Some college or more | 54 (56) | 9 (17) | 11 (20) | 16 (30) | 5 (9) | 32 (59) | 27 (50) | 1 (2) |
What is the corrected number of smokers in the home? | ||||||||
1 | 60 (61) | 10 (17) | 9 (15) | 21 (35) | 6 (10) | 30 (50) | 35 (58)* | 0 (0) |
Variables . | Total Cohort, n (col %) . | Negative Side Effects of Cigarette Smoking, n (row %) . | Financial Concerns, n (row %) . | Social Influence Behavior, n (row %) . | Emotions Driving Behavior, n (row %) . | Desire to Lead a Healthy Life, n (row %) . | Desire to Improve Child or Family’s Well-being, n (row %) . | Religious Reasons, n (row %) . |
---|---|---|---|---|---|---|---|---|
Overall | 99 (100) | 15 (15) | 17 (17) | 33 (33) | 9 (9) | 53 (54) | 47 (47) | 1 (1) |
Child's sex | ||||||||
Male | 51 (52) | 10 (20) | 5 (10) | 14 (27) | 3 (6) | 28 (55) | 24 (47) | 1 (2) |
Female | 48 (48) | 5 (10) | 12 (25) | 19 (40) | 6 (13) | 25 (52) | 23 (48) | 0 (0) |
Age of child, y | ||||||||
Mean (SD) | 4.7 (4.9) | 3.4 (4.3) | 4.6 (5.5) | 4.6 (4.8) | 4.5 (3.5) | 5.4 (5.3) | 3.2 (4.0)* | 7.5a |
Parent's age, y | ||||||||
Mean (SD) | 31.6 (7.5) | 31.1 (8.2) | 31.1 (5.9) | 31.0 (6.2) | 32.1 (5.8) | 33.1 (7.6)* | 30.1 (6.8)* | 48.0*a |
Relationship to child | ||||||||
Mother | 68 (69) | 10 (15) | 11 (16) | 18 (26)* | 6 (9) | 39 (57) | 31 (46) | 1 (1) |
Father | 31 (31) | 5 (16) | 6 (19) | 15 (48)* | 3 (10) | 14 (45) | 16 (52) | 0 (0) |
Parent race/ethnicity | ||||||||
Hispanic | 24 (25) | 3 (13) | 4 (17) | 6 (25) | 5 (21) | 11 (46) | 10 (42) | 0 (0) |
White | 50 (53) | 5 (10) | 8 (16) | 18 (36) | 2 (4) | 29 (58) | 21 (42) | 0 (0) |
African American | 15 (16) | 4 (27) | 3 (20) | 5 (33) | 2 (13) | 7 (47) | 9 (60) | 1 (7) |
Other | 6 (6) | 2 (33) | 1 (17) | 2 (33) | 0 (0) | 4 (67) | 3 (50) | 0 (0) |
What is the highest grade or year of school you have? | ||||||||
High School or less | 42 (44) | 6 (14) | 6 (14) | 15 (36) | 3 (7) | 21 (50) | 19 (45) | 0 (0) |
Some college or more | 54 (56) | 9 (17) | 11 (20) | 16 (30) | 5 (9) | 32 (59) | 27 (50) | 1 (2) |
What is the corrected number of smokers in the home? | ||||||||
High School or less | 42 (44) | 6 (14) | 6 (14) | 15 (36) | 3 (7) | 21 (50) | 19 (45) | 0 (0) |
Some college or more | 54 (56) | 9 (17) | 11 (20) | 16 (30) | 5 (9) | 32 (59) | 27 (50) | 1 (2) |
What is the corrected number of smokers in the home? | ||||||||
1 | 60 (61) | 10 (17) | 9 (15) | 21 (35) | 6 (10) | 30 (50) | 35 (58)* | 0 (0) |
Values tabulated include N (%) and mean (STD) for the respondents that cited the item as a barrier. The comparison group is respondents that did not cite item as a barrier. Missing observations were excluded.
P < .05.
SD could not be calculated due to small sample size (n = 1).
Multivariable Analysis of Motivators
Outcome . | Variables . | Crude OR (95% CI) . | Adjusted OR (95% CI) . | P . |
---|---|---|---|---|
Desire to lead healthy life | Relationship to child: father versus mother | 0.61 (0.26–1.44) | 0.62 (0.24–1.56) | .3109 |
Education of parent: ≤ high school vs ≥ some college | 0.69 (0.31–1.55) | 0.74 (0.32–1.72) | .4819 | |
Number of smokers in home: ≥2 vs 1 | 1.44 (0.64–3.25) | 1.46 (0.60–3.54) | .4069 | |
Age of parent | 1.06 (1.00–1.12) | 1.05 (0.99–1.11) | .0944 | |
Desire to improve family/child | Relationship to child: father versus mother | 1.27 (0.54–2.98) | 0.63 (0.24–1.69) | .3582 |
Education of parent: ≤ high school vs ≥ some college | 0.83 (0.37–1.85) | 0.73 (0.30–1.75) | .4755 | |
Number of smokers in home: ≥2 vs 1 | 0.32 (0.14–0.74) | 0.33 (0.13–0.83) | .0192 | |
Age of child | 0.88 (0.81–0.97) | 0.88 (0.80–0.97) | .0089 |
Outcome . | Variables . | Crude OR (95% CI) . | Adjusted OR (95% CI) . | P . |
---|---|---|---|---|
Desire to lead healthy life | Relationship to child: father versus mother | 0.61 (0.26–1.44) | 0.62 (0.24–1.56) | .3109 |
Education of parent: ≤ high school vs ≥ some college | 0.69 (0.31–1.55) | 0.74 (0.32–1.72) | .4819 | |
Number of smokers in home: ≥2 vs 1 | 1.44 (0.64–3.25) | 1.46 (0.60–3.54) | .4069 | |
Age of parent | 1.06 (1.00–1.12) | 1.05 (0.99–1.11) | .0944 | |
Desire to improve family/child | Relationship to child: father versus mother | 1.27 (0.54–2.98) | 0.63 (0.24–1.69) | .3582 |
Education of parent: ≤ high school vs ≥ some college | 0.83 (0.37–1.85) | 0.73 (0.30–1.75) | .4755 | |
Number of smokers in home: ≥2 vs 1 | 0.32 (0.14–0.74) | 0.33 (0.13–0.83) | .0192 | |
Age of child | 0.88 (0.81–0.97) | 0.88 (0.80–0.97) | .0089 |
All predictors for the multivariable model are listed in the table. Adjusted ORs are adjusted for the other predictors listed for that outcome. CI, confidence interval; OR, odds ratio.
Discussion
The most common barriers cited by the caregivers in our study were stress and social influences, and the most common motivators were a desire to lead a healthy life and to improve their child or family’s well-being. Knowing these barriers and motivators, health care providers may be able to improve acceptance of smoking cessation assistance and better tailor motivational messaging to the needs of parents in the inpatient setting.
Stress
Fifty-seven percent of caregivers in our sample reported stress as a major barrier to smoking cessation. This is not surprising in the context of a child’s hospitalization and suggests that addressing smoking in a pediatric hospital setting should explicitly address stress reduction techniques. Mindfulness activities, including meditation, have been shown to reduce stress and can increase smoking cessation, even without directly addressing smoking.15 Recent studies have found that introducing a daily mindfulness activity by using a smartphone app can help reduce overall stress and improve psychosocial well-being.16,17 Providers may recommend free mindfulness applications available on mobile phones to guide parents through quick 5- to 10-minute breathing exercises to relieve stress. Combining the use of an application along with mindfulness-based stress reduction and mindfulness-based cognitive therapy tools may help reduce daily stress in parents and help them develop new coping strategies.
Providers can help caregivers explore why smoking helped relieve stress: was it having something in their hand to distract them? Or taking a 5-minute break for themselves? Such questioning may help the caregiver eliminate the cigarette from their stress response while keeping other stress-relieving habits, such as taking a 5-minute break and going for a brief walk. This method draws upon the Relaxation Response Resiliency Program (3RP), which integrates mindfulness stress coping strategies with goal-setting techniques over multiple weeks to reach stress management goals.18 While health care providers in the inpatient setting may not have weeks to work with a caregiver, they can instill relaxation strategies and mindfulness tools to be continued as an outpatient with their primary care provider.
Social Influences
Our subjects explained that it was more difficult for them to quit when they were with other smokers. Ideally, if both caregivers smoke, they should both be encouraged to work toward smoking cessation. Administering dual cessation assistance may not be possible in all situations. If a caregiver wants to quit and their partner does not, providers can help identify other people they are close to who do not smoke and who could provide social support. Helping the caregiver identify situations where they will be with other smokers and develop a proactive strategy to avoid smoking can also foster the self-efficacy needed to quit.
Desire to Lead a Healthier Life:
Living a healthier life was the most commonly cited motivator for caregivers in our study. Tools that some caregivers found useful were exercising more and snacking on vegetables when experiencing cravings. Caregivers who were most successful with quitting smoking focused on making small behavior changes one at a time. Once they identified what aspects of their health or family’s well-being that they wanted to improve, they set small obtainable goals to work toward to make the changes. Caregivers also reported healthy cooking as a proactive strategy. Cravings are a major barrier to quitting smoking and leading a healthier lifestyle; our caregivers noted that NRT, hard candy, and locking cigarettes away in a hard-to-reach place were means to help curb their cravings.
Desire to Improve the Child and Family’s Well-Being
The second most common motivator among caregivers was a desire to improve their child or family’s well-being. Although it is a popular reason to quit, it can be tricky to discuss the health risks of smoking while a child is hospitalized, because there may be a perception that the health care provider may be judging the caregivers or focusing on the wrong “problem” at hand, which would be counterproductive. MI techniques, such as asking caregivers what their motivators are and waiting for them to bring up their child’s health, allow for an open, nonjudgmental conversation about smoking health risks without the provider seeming judgmental or taking on a lecturing tone.
Application in Other Hospitals
Institutions with less funding or resources may find it difficult to implement a cessation program as comprehensive as the one used in this research study. A few main themes from this study’s findings may still apply to almost any hospital-based cessation efforts.
If health care providers wish to change their approach to discussing smoking cessation, they should focus on the following: First, they must implement a system to identify families that have a smoker in the home, which would give health clinicians the opportunity to begin cessation discussions. It is well documented that pediatricians feel like they lack knowledge in smoking cessation; therefore, it is recommended that pediatricians seek training in cessation counseling.19,20 There are free resources that can offer health care workers the necessary tools and instruction (Table 5). Second, it is critical to discuss smoking during pediatric inpatient stays in an efficient, compassionate way. The updated United States Public Health Service (USPHS) report entitled “Treating Tobacco Use and Dependence: A Clinical Practice Guideline” suggests brief and frequent “5A model” interventions with caregivers who smoke.11 Health care workers can focus on 3 of the 5. In brief conversations with caregivers, they can focus on the following:
Advise: Provide information to caregivers about SHS exposure and benefits of cessation or reduction of SHS exposure to child
Assess: Help the caregiver explore their willingness to quit via prompts such as
“What is motivating you to quit?”
“What may make it difficult for you to quit/what barriers do you have to quitting?”
Assist: If the caregiver is interested in quitting, provide them resources, such as referral to the local quitline and self-help materials11
Smoking Cessation Resources for Clinicians
Resource . | Link . | Brief Description . |
---|---|---|
American Academy of Pediatrics Tobacco Control and Prevention | https://www.aap.org/en/patient-care/tobacco-control-and-prevention/ | This is a good resource to find clinical practice information, fact sheets, state-specific information about tobacco control, and smoking cessation research. |
Centers for Disease Control and Prevention Tobacco Campaign | https://www.cdc.gov/tobacco/campaign/tips/index.html | This is a good resource for fact sheets as well as patient cessation resources across the country such as the Quit Line and texting-based resources. |
United States Department of Health and Human Services: Treating Tobacco Use and Dependence: 2008 Update | https://www.ahrq.gov/prevention/guidelines/tobacco/index.html | This resource includes updated clinical guidelines on how to approach speaking with patients about smoking cessation as well as more references, useful tip sheets, and tear sheets. |
Resource . | Link . | Brief Description . |
---|---|---|
American Academy of Pediatrics Tobacco Control and Prevention | https://www.aap.org/en/patient-care/tobacco-control-and-prevention/ | This is a good resource to find clinical practice information, fact sheets, state-specific information about tobacco control, and smoking cessation research. |
Centers for Disease Control and Prevention Tobacco Campaign | https://www.cdc.gov/tobacco/campaign/tips/index.html | This is a good resource for fact sheets as well as patient cessation resources across the country such as the Quit Line and texting-based resources. |
United States Department of Health and Human Services: Treating Tobacco Use and Dependence: 2008 Update | https://www.ahrq.gov/prevention/guidelines/tobacco/index.html | This resource includes updated clinical guidelines on how to approach speaking with patients about smoking cessation as well as more references, useful tip sheets, and tear sheets. |
As with the intervention used in this study, the USPHS recommends incorporating web-based interventions, local quit programs, and self-help materials into the 5A cessation approach.11 If health care providers understand and discuss barriers and motivators to smoking cessation and the associated resources for quitting, they will be able to better care for their patients and families. As previous research has found, the more benefit-oriented and specific the interventions are to the caregiver the more successful the caregiver will be in their cessation efforts.21
Limitations of this study included that the MI sessions were not recorded; motivators and barriers were coded by using cessation counselor notes. Multiple tobacco counselors worked on the study from 2014 to 2018, so details of notes and subjects’ responses varied. However, a note template was used for conducting MI sessions helping to encourage uniformity of information across tobacco counselors. The study took place in a single Midwestern state with relatively low tobacco use prevalence, and thus our findings may not be generalizable to other regions or areas with greater prevalence.
Conclusion
The inpatient pediatric setting presents a unique opportunity to provide smoking cessation resources for caregivers. As seen at Colorado Children’s Hospital, caregivers experience distinct motivators and barriers to smoking cessations. By providing motivator and barrier-specific resources to caregivers, health care clinicians may be able to better tailor their cessation assistance efforts to the needs of caregivers. The common themes identified among caregivers were stress as a barrier to cessation and leading a healthier lifestyle as a motivator. This finding is congruent with previous smoking cessation behavioral research.22 Cessation counseling using MI techniques focusing on questions related to parental stress, social influences, healthier lifestyles, and improving child well-being may result in more productive conversations about SHS and more successful parental smoking cessation assistance.
FUNDING: Funded by National Cancer Institute grant R01CA181207, Intervening with smoking parents of inpatients to reduce exposure (INSPIRE). Funded by the National Institutes of Health (NIH).
Ms Holstein recruited participants, collected data, managed the database, coded the motivational interviewing (MI) notes, drafted the initial manuscript, and revised and edited the manuscript; Dr O’Hara coded the MI notes and revised and edited the manuscript; Ms Moss developed and maintained the data management system, planned and completed the statistical analyses, and revised and edited the manuscript; Dr Kerby designed the study, supervised the study procedures, and revised and edited the manuscript; Ms Lowary designed the study, directed the study procedures, oversaw data management, and revised and edited the manuscript; Drs Klein, Winickoff, and Hovell conceptualized and designed the study, provided input into the study procedures and changes, and revised and edited the manuscript; Dr Wilson conceptualized and designed the study, supervised the study procedures, oversaw data analysis, and drafted, revised, and edited the manuscript; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
This trial has been registered with ClinicalTrials.gov (identifier NCT02281864).
References
Competing Interests
CONFLICT OF INTEREST DISCLOSURE: The authors have indicated they have no conflicts of interest related to this article to disclose.
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