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. 2023 Feb 16;18(2):e0276424. doi: 10.1371/journal.pone.0276424

A harm reduction model for environmental tobacco smoke exposure among Bangladeshi rural household children: A modified Delphi technique approach

Rishad Choudhury Robin 1,2,#, Narongsak Noosorn 1,*,#
Editor: Muhammad Tayyab Sohail3
PMCID: PMC9934442  PMID: 36795709

Abstract

This paper aimed to develop a harm reduction model to reduce exposure to environmental tobacco smoke among children of rural households in Bangladesh. A mixed-methods exploratory sequential design has been applied, and data has been collated from six randomly selected villages of Munshigonj district, Bangladesh. The research was divided into three phases. In the first phase, the problem was identified through key informant interviews and a cross-sectional study. In the second phase, the model was developed by focus group discussion, and in the third phase, the model was evaluated through the modified Delphi technique. The data was analyzed by thematic analysis and multivariate logistic regression in phase one, qualitative content analysis for phase two, and descriptive statistics in phase three. The key informant interviews showed attitude toward environmental tobacco smoke, lack of awareness, inadequate knowledge as a reason and smoke-free rules, religious beliefs, social norms, and social awareness as preclusion of environmental tobacco smoke. The cross-sectional study detected that households with no smoker (OR 0.006, 95% CI 0.002–0.021), high implantation of smoke-free household rules (OR 0.005, 95% CI 0.001–0.058), moderate (OR 0.045, 95% CI 0.004–0.461) to strong (OR 0.023, 95% CI 0.002–0.224) influence of social norm and culture along with neutral (OR 0.024, 95% CI 0.001–0.510) and positive (OR 0.029, 95% CI 0.001–0.561) peer pressure had been significantly associated with environmental tobacco smoke exposure. The final components of the harm reduction model consist of a smoke-free household, social norms and culture, peer support, social awareness and religious practice identified by the FGDs and modified Delphi technique.

Introduction

Despite many efforts to reduce environmental tobacco smoke (ETS) exposure, around 890,000 deaths occur due to ETS yearly [1]. Children are the most susceptible population to ETS exposure, and involuntarily exposure to ETS is causing them to increase the risk for respiratory illness, cancer, allergy, and sudden infant death syndrome [24].

In developed countries, ETS exposure among children is high, indicating 89% in Turkey, 43% in Australia, 41% in the United Kingdom, and 33% in Canada [5]. However, the ETS prevalence in underdeveloped countries is also in the same line, 39.0% in Bangladesh, 38.7%, and 39.1% in India and Myanmar, respectively [68].

The high prevalence of ETS exposure in Bangladesh results from the low-cost availability of cigarettes (1). Moreover, most Bangladeshi people’s perception reflected that ETS does not have any adverse effects, including male attitudes and behaviours that pose a significant barrier for reducing ETS exposure [9].

In Bangladesh, there is a scarcity of research on ETS. We have found only a few studies on ETS in Bangladesh, and none of them focused on the exposure of children in a rural households, which imitated a significant knowledge gap of crucial public health issues. To replenish the knowledge gap, we aimed to develop a harm reduction model to reduce exposure to ETS among rural area’s household children of Bangladesh, thus helping to reduce the overall exposure of ETS around the country.

Methods and material

Research design and place

A mixed-methods exploratory sequential design was carried out between July 2018 and April 2019. The study was divided into three phases. In the first phase, the tobacco problem of the study area was identified, the model was developed in the second phase, and the model was evaluated in the last phase (Fig 1). Munshiganj district had been selected as the representative of the rural area from the 61 same cultural and ethnic background districts of Bangladesh through the lottery method of simple random sampling. Though there are 64 districts, three are from hill tracks that were not included in the lottery as the ethnic background of the populations is different from the rest of the 61 districts [10, 11]. The study was approved by the Institutional Review Board of Naresuan University, Thailand (COA No. 675/2018, IRB No.0502/61), and all the participants gave written consent before participating in the study.

Fig 1. Research diagram.

Fig 1

Phase 1—Identify problem

To identify the situation of ETS exposure, both qualitative and quantitative methods were used to obtain an overview of the situation.

A. Key informant interview

In-depth interviews were conducted to determine the respondents’ behavior patterns regarding ETS exposure in the community. A key informant interview (KII) was used as the research tool for KII; active adult smokers, non-smokers, local political leaders, local government officials, law enforcement officials, health-related officials, religious leaders, teachers, lawyers, and shopkeepers were selected. The KII generated necessary information on the respondents’ ETS to identify the variables and develop a different quantitative method questionnaire. It helped to understand how stakeholders behave and react regarding ETS exposure in the community, community norms of smoking, government rules, implementation, and other associated factors. Data were collected until data saturation occurred, and a total number of 14 KIIs were done. A purposive sampling method was used to select the participants. To understand the qualitative results of the research, a thematic analysis was used [12].

B. Cross-sectional study

A cross-sectional study was conducted for this part. By applying the Cochran formula, the final respondents were 410 adult males and females, including smokers and non-smokers [13]. Simple random sampling was carried out to select the six villages among the Munshiganj district, and through systematic random sampling, every third household member was chosen as a sample. Population proportion had been calculated to select the number of representatives from each village. A self-administrative close-ended survey questionnaire on demographics, smoking status, self-reported exposures in the household, variables related to second-hand smoking exposure, and four constructs from the theory of planned behaviour (TPB) were chosen as a research tool. The study measured the ETS exposure on children from adult self-report [9, 14]. Exposure to passive smoking indicates as exposure to another person’s tobacco smoke in the household for at least 15 minutes daily for more than one day every week in the past 30 days [15]. The questionnaire was developed in English and translated into Bengali (The national language of Bangladesh). Back translation was employed to ensure items’ meaning and substance were not lost. SPSS version 20 software was used to analyze the data. Descriptive statistics were used to describe essential socio-demographic characteristics, whereas univariate and multivariate logistic regression models were used to investigate the association between independent and dependent variables. All results were presented as unadjusted and adjusted odds ratio (OR) with 95% confidence intervals (CIs). A p-value ≤0.05 was considered to be statistically significant.

Phase 2—Developing the model

A proposed model was developed from the findings of phase one, focus group discussions (FGD), and guidelines from previous literature. A purposive sampling method was used to select the participants. Three heterogeneous FGDs had collected data. The participants include local political leaders, local government officials, law enforcement officials, health-related officials, religious leaders, teachers, shopkeepers, smokers, and non-smokers. The participant number for each group was 12, seven, and nine, respectively, and the duration of the discussion was 40 to 50 minutes. All FGDs were audiotaped and transcribed verbatim; the Principal Investigator (PI) checked the transcripts for consistency then a directed content analysis approach was conducted to analyze the data. This approach can forecast the variables of interest or the interactions between variables, which help define the initial coding system or associations between codes [16].

Phase 3—Evaluation of the model

A close-ended online questionnaire was used as a tool where the tobacco field experts acknowledged the finding and gave their suggestions to evaluate the proposed model. Purposive sampling applied to select the experts. The experts consisted of researchers, doctors, nurses, psychiatrists, addiction specialists, social workers, and government and non-government officials responsible for tobacco control. A modified Delphi technique was used for data collection. Seventeen experts’ opinions were needed to reduce the group error of less than 0.5 [17]. The modified Delphi technique is similar to the full Delphi technique. The major adjustment involves beginning the procedure with a set of prudently selected items. These pre-selected items may be drawn from several sources. The key advantages of this modification to the Delphi is that it is typically improves the initial round response rate, and provides a solid foundation in previously developed work [18]. Following these criteria, 21 experts participated in the first round and 18 in the second round. In the first round, a close-ended questionnaire developed from the finding of phase two was sent to the experts through email. The experts rated on a clearly defined nine-point Likert scale. In the second round, those items that did not achieve the consensus in the first round were again sent to the experts, informing the result from the first round together with the individual expert’s rating and the median rating from the entire panel. In both rounds, the free-text responses were selected to represent their opinion’s deepness. To calculate the strength of the consensus Interquartile range (IQR) is used. IQR is the absolute value of the difference between the 75th and 25th percentiles, with smaller values indicating higher degrees of consensus. The consensus was reached when one particular item IQR was ≤ 1, and ≥75% of the total items had IQR ≤1 [19, 20]. Data were analyzed with the average percentage, mean, median, and IQR.

Results

Demographic characteristics

The demographic characteristics of the overall participants in phases 1 and 2 are presented in Table 1. In the KII, most of the 78.6% were male, and the participants were between 25 to 44 years. Among them, 85.8% were married and completed a degree from a university. Besides, almost one-third of the participants were non-smokers (35.7%). In the cross-sectional study, it was indicated an overwhelming participant was male (70.7%) majority were married (85.6%) and finished university study (37.5%). Almost one-fourth (26.6%) of the responders were smokers, also indicated by our study. In the FGD, male participants were maximum in number (64.2%). However, an equal number of participants in the age group 25 to 44 years and more than 45 years (35.7%). In phase 1, the majority completed from university; however, in step 2, participants mostly completed their college (42.8%). In this phase, the number of smokers was found precisely one-fourth of the total respondents (25.0%).

Table 1. Demographic characteristics of the participants.

Phase 1 Phase 2
Key informant interview Cross sectional survey Focus group discussion
Characteristics n = 14 (%) Characteristics n = 410 (%) Characteristics n = 28 (%)
Gender Gender Gender
Male 11 (78.6) Male 290 (70.7) Male 18 (64.2)
Female 3 (21.4) Female 120 (29.3) Female 10 (35.7)
Age (Years) Age (Years) Age (Years)
18–24 1 (7.1) 18–24 38 (9.3) 18–24 8 (28.5)
25–44 10 (71.4) 25–44 205 (50.0) 25–44 10 (35.7)
45+ 3 (21.5) 45+ 167 (40.7) 45+ 10 (35.7)
Marital status Marital status Marital status
Single 2 (14.2) Single 55 (13.4) Single 6 (21.4)
Married 12 (85.8) Married 351 (85.6) Married 22 (78.5)
Education Divorce and Widow 4 (1.0) Education
College 2 (14.2) Education Primary/Secondary 8 (28.5)
University 12 (85.8) No formal schooling 21 (5.1) College 12 (42.8)
Employment Primary schooling 82 (20.0) University 8 (28.5)
Service holder 7 (50.0) Secondary schooling 153 (37.4) Employment
Business 5 (35.7) University 154 (37.5) Service holder 5 (17.8)
Unemployed 2 (14.3) Employment Business 12 (42.8)
Smoking Status Service holder 141 (34.4) Unemployed 11 (39.2)
Smoker 5 (35.7) Business 157 (38.3) Smoking Status
Non-smoker 9 (64.3) Unemployed 112 (27.3) Smoker 7 (25.0)
- - Smoking Status Non-smoker 21 (75.0)
- - Smoker 109 (26.6) - -
- - Non-smoker 301 (73.4) - -

Phase 1—Identify the problem

In the thematic analysis, the core theme had been divided into reason and preclusion of ETS. ETS’s cause was again codded as ETS’s attitude, lack of awareness, and inadequate knowledge. A positive attitude can help to practice the behaviour while, on the opposite, a negative attitude can significantly impact the same reaction. For example, "Smoker is everywhere from young people to older people, everyone smokes. In the local market, stalls sell only cigarettes and teas, and you can see most people gathered in those stalls. People do not think it is a bad habit. They take it regularly like consuming an everyday meal (KII 103, School teacher of one of the unions)". People have inadequate knowledge of ETS exposure. They do not understand how a smoker’s smoke impacts the people surrounding him. For example, one participant stated, "When a patient came to us mainly children with respiratory issues, if we ask if the father is a smoker or not, many times they get surprised by the question as they wonder what could be the relation between the parents smoking habit and the respiratory problem of their children (KII 108, Doctor of sub-district health complex). General people take smoking casually and are unaware of the consequence, "Smoking cigarettes is a regular practice, like taking meals three times. They do not think about the harmful side effect of it. They do not think it affects him and others (KII 101, Religious leader from one of the local mosques)".

The preclusion of ETS had been codded as smoke-free rules, religious beliefs, social norms, and social awareness. Smoke-free laws indicated ETS-free households. Participants stated, "Protest should come from the home first. If the cigarette is not permitted inside the home, it eventually reduces the exposure (KII 110, Government official of Sub-district government office)". Furthermore, due to the modernization of society, children remain home for the majority of their time. As an example, "Time has changed. Nowadays, even the poorest family has a smartphone. You can get a Chinese smartphone even within 2500 taka. Children are now devoted to playing mobile games. That’s made them stay at home. As a reason, indoor smoking causes more exposure to children. You cannot reduce it without banning smoking inside the house. In my opinion, this is the only salutation (KII 103, School Teacher of one of the unions)". A social norm is usually a reflection form religion and culture, and it has a significant influence on the human life of that particular society. In rural areas, females typically do not interfere with the husband’s opinions. However, if they are adequately empowered, they can help to reduce ETS. One female participant explained, "We women can help. Yes, I admit that it is difficult in our society, but we can prevent our spouse from smoking inside the house if we have the empowerment. I know it will be challenging for some families but not impossible. Everyone loves his children, and no one wants to hurt them (KII 105, Smoker’s wife from one of the selected villages)". As tobacco products are readily available, and there is no barrier to buying, it seems like a regular daily life activity. Local shopkeepers, mainly those who sell tea and cigarettes, are among the most familiar people in the rural area. Most of the adult males of the village went to their stall for evening tea. They can help with awareness buildup. The participant’s opinion reflected that "People know each other in the village. Everyone knows who has a child or not. If the shopkeeper is aware of this effect, he can tell the father not to smoke inside the house or in front of children while buying cigarettes. People usually gossip in front of this type of cigarette shop. Shopkeepers have a good bonding with their customer. It’s not liked the town. Everyone belongs to the same society (KII 101, Religious leader from one of the local mosques)". Religion has a tremendous influence on human life. It also influences the culture, norms, and different customary practices. Islam is the religion followed by the majority of the people in Bangladesh. Islamic way of life can reduce the exposure reflected by participant’s opinion, "Obeying religious instructions can reduce smoking, and I also think passive smoking exposure like Bangladesh is a Muslim country with many smokers. If you ask any Muslim, they will reply smoking is prohibited in Islam. But still, they smoke. If they obey the Islamic way of life, I think it will reduce (KII 113, Female non-smoker from one of the selected villages)".

Moreover, our research observed that households with no smoker had significantly associated ETS exposure in both univariate (OR 0.014, 95% CI 0.007–0.028) and multivariate (OR 0.006, 95% CI 0.002–0.021) analysis. Similarly, high implantation of smoke-free rules in the household was also significant in univariate (OR 0.006, 95% CI 0.001–0.046) and multivariate analysis (OR 0.005, 95% CI 0.001–0.058). Additionally, moderate (OR 0.045, 95% CI 0.004–0.461) to strong (OR 0.023, 95% CI 0.002–0.224) influence of social norm and culture along with neutral (OR 0.024, 95% CI 0.001–0.510) and positive (OR 0.029, 95% CI 0.001–0.561) peer pressure had been significantly associating in the multivariate analysis (Table 2) The Hosmer and Lemeshow test was not significant (x2 = 7.481, df. = 8, p = 0.486), confirming the model’s goodness of fit.

Table 2. Univariate and multivariate analysis to find out the association of independent and dependent variables.

Variables n = 410 (%) Unadjusted Adjusted*
OR (95%CI) P-value OR (95%CI) P-value
Smoker presence in the household
Yes 171 (41.70) Reference
No 238 (58.04) 0.014 (0.007–0.028) 0.000 0.006 (0.002–0.021) 0.000
Smoke-free rules in the household
Low implementation 58 (14.14) Reference
High implementation 351 (85.60) 0.006 (0.001–0.046) 0.000 0.005 (0.001–0.058) 0.000
Social norm and culture
Low influence 19 (4.63) Reference
Moderate influence 86 (20.97) 0.966 (0.357–2.614) 0.946 0.045 (0.004–0.461) 0.009
High influence 304 (74.14) 0.550 (0.217–1.396) 0.209 0.023 (0.002–0.224) 0.001
Peer pressure
Negative 310 (75.6) Reference
Neutral 93 (22.7) 1.652 (0.304–8.966) 0.561 0.024 (0.001–0.510) 0.017
Positive 7 (1.7) 1.394 (0.266–7.306) 0.694 0.029 (0.001–0.561) 0.019

*Adjusted to age, gender, income, religious belief, knowledge, environmental impact, media influence, perception, attitude, intention, perceived behaviour control

Phase 2—Developing the model

According to the respondents, five themes derived in this phase from the content analysis were a. smoke-free household, b. Social norm and culture, c. Peer support, d. Social awareness and, e. Religious practice. The quotes representing each category are presented in Table 3.

Table 3. Selected quotes representing exposure of passive smoking among children.

Theme Quotes
1. Smoke-free household SFH 1 - “Everything should start at home. It has more effect on isolated places rather than open spaces. A smoker should understand I can harm myself, but I cannot harm others. Smokers’ understanding is necessary” (FGD 307)
SFH 2—Self-understanding is essential. If you look at a cigarette packet, there is a warning sign even though people smoke. Why? Because they do not want to change. They know. But they are not motivated”. (FGD 105)
SFH 3 - "No smoking inside the house is good for reducing exposure. If there is a specific place, sometimes people are too lazy to go to that place to smoke. So eventually, they do not smoke. But on the other side, they may start smoking in the house due to laziness. That’s why I think if there is a specific place, the entire smoking product should keep there. So, if anyone wants to smoke, they have to go there for smoking”. (FGD 303)
SFH 4 - "Children don’t follow advice. They follow the example. If you smoke and tell your children not to smoke, it does not make sense. It is the same if you want to make your house smoke-free; you need to set an example in front of your children. It would be best if you were strict about smoking inside the house”. (FGD 305)
2. Social norm and culture SNC 1 - "Smoking is widespread in a social gathering. If you invite your relatives to your house, you will find a section of your relatives smoking and gossiping. Social Smoking is common practice. It is difficult to reduce exposure if a person doesn’t understand what harm he is causing”. (FGD 207)
SNC 2 –“Woman cannot control a man, and in the case of smoking, it is almost impossible. The man never listens to us. They come up us hundreds of excuses for smoking. If we force them to quit, they get angry”. (FGD 309)
SNC 3 - "Woman empowerments help to break this norm. 80% loan takers from us are a woman. They told us that now their husbands give more value to their opinion. Now they listen to them”. (FGD 103)
3. Peer support PS 1 - "I think peer support is the main medium. The spouse should be strict. If the husband respects her opinion, both can make the environment exposure-free. But in a rural area, it is difficult for us. We do not have that much freedom. If the grandparent is a smoker, it will be more difficult. In that case, the child’s father needs to be more aware”. (FGD 201)
PS 2 - "If a child gets knowledge of smoking and ETS, in my opinion, they can motivate their parents. If the school teacher can deliver the message properly, they can influence their parents to stop smoking”. (FGD 302)
PS 3 –“Those who do not smoke should help the smoker. They should tell them the benefit. How healthy their life. It may affect the smoker”. (FGD 203)
4. Social awareness SW 1 - "Why don’t people use their knowledge? The only thing is they do not have any awareness. They know smoking cause cancer. Not that they do not have any idea about this matter. Awareness is necessary”. (FGD, 206)
SW 2 - "Education can create awareness. Children should learn about the harm of smoking. The schoolteacher should include an emphasis on this. Not only that, but no cigarettes should also sell beside school; otherwise, there will be no benefit”. (FGD 101)
SW 3 - "Seeing is believing. Those affected by smoking-related diseases like lung cancer or children suffering from respiratory problems due to secondary exposure to smoking can be an example for smokers. If it is possible to take the smoker to suffer persons, I think it will be more beneficial. It will work more adequately if the distressed person is close to the smoker”.
SW 4 - "Doctor, SACMO can help. I think for our area SACMO is more appropriate. Many people go to them for basic treatment. They also have a good understanding of the local people. If they talk about passive smoking, I think it will help. Mainly if they can inform the woman, they can get the knowledge and tell their husband not to smoke in front of children”. (FGD 106)
5. Religious practice RP 1 - “Religious practice is more important than knowledge and awareness. Most of the smokers in our locality are male. If they know it is not permissible to enter masjid after smocking, they may change their smoking concept. They will understand smoking is a sin and will stop smoking and reduce exposure”. (FGD 207)
RP 2 - "We reduce smoke during Ramadan. Due to fasting, we were not able to smoke during the daytime. The month of Ramadan is the best time to quit smoking. It will also help make a house smoke free”. (FGD 303)

A. Smoke-free household. A smoke-free household is an effective way to reduce ETS, according to the participants of FGDs. Home can act as an administrative body. A person got his first lesson from his home. Additionally, motivation and self-understanding are also necessary to change any behaviour (Quotes SFH 1–2). Making a specific place for smoking may have some pros and cons. However, the advantage of this is high with some proper regulation. Only creating a place for tobacco will not benefit without these regulations (Quotes SFH 3). Children can play an important role in making a house smoke-free and the other family member. Child well-being is the most important thing for any parent, helping him make the house smoke-free (Quotes SFH 4).

B. Social norm and culture

A different norm and culture guide every society. The norm and culture have a significant influence on a person’s behaviour. Social smoking is a common practice in Bangladesh. Similarly, people have minimal awareness regarding ETS. The social smoking practice causes more harm, and this customary should change for exposure reduction (Quotes SNC 1). In the rural area of Bangladesh, a woman does not enjoy the freedom of rights. Their husband dominates them. Even they are unable to ask their husband to stop smoking. However, a spouse can be one of the main support systems to reduce smoking and ETS. This scenario needs to be changed, and the government is trying hard to empower women. The government, social welfare division, helps women with microcredit loans, which eventually allows women and helps them get their rights to speak and make their family environment pollution-free (Quotes SNC 2–3).

C. Peer support

Support from close family and friends consider a significant way to reduce ETS. Spouse support is essential to minimize exposure. Additionally, grandparents are also a significant cause of exposure. Their awareness is necessary to make the house exposure-free (Quotes PS 1). Children are the most precious in any human’s life. Their knowledge and understanding can have a significant impact on reducing smoking exposure (Quotes PS 2). Those who do not smoke and close friends of the smoker can also significantly reduce smoking exposure. Those who do not smoke can be a living example of a healthy family. On the other hand, non-smoker friends can help the smoker friend understand the devastating effect of passive smoking on the smoker’s family (Quotes PS 3).

D. Social awareness

ETS exposure reduction can be achieved through social awareness. It was found that people know about ETS. However, they are not aware of the harmful consequence (Quotes SW 1). Children’s awareness is critical to reducing exposure. Children can help their parents to make the house smoke-free. If they know the harmful effect of ETS, they may prevent themselves from exposure (Quotes SW 2). One of the most excellent ways to educate people; is by taking help from those already suffering from smoking or exposure to tobacco. By seeing their condition, smoke will be mindful of exposing others (Quotes SW 3). The health professional should reduce exposure, mainly Sub-Assistant Community Medical Officers (SACMO) and have a good bonding with the local people. Local people took help from them even out of office time as they live in the locality. They have a strong influence on local people (Quotes SW 4).

E. Religious practice

Religion has an integral part of most humans. A person’s belief is very much influenced by religion. Faith can help a person drop an unhealthy mindset and take a healthy one. As most of the population in Bangladesh is Muslim, Islamic law and Islamic lifestyle are reflected by participants (Quotes SP 1). Islamic rules also help to make the house smoke-free. During Ramadan, Muslims do not eat anything from sunrise to sunset. So, no one can smoke in the daytime. If this practice continued, it could help stop smoking, thus helping to reduce ETS (Quotes SP 1).

Phase 3—Evaluation of the model

The survey described five core activities that improved religious practice, implemented a smoke-free household, inspired by a peer, increased social awareness, and influenced social norms and culture. The core activities had 18 items, and out of them, seven items had achieved consensus in the first round of the modified Delphi technique. The items were 1. Putting up a no-smoking sign made by a child of the house on the doorway, 2. Seeking help from those who already practice smoke-free rules in the household,3. Changing clothes and hand washing before going near a child after smoking, 4. Practicing religious rules properly, 5. Educating children about the impact of ETS, 6. Distributing leaflets, banners, and stickers about ETS and 7. Adapting to social value.

However, the 11 items that did not get consensus in the first round were used for the second round. Among the six items achieved consensus; 1. Religious leaders should act as educators to inform the local people about the harmful effects of smoking and ETS, 2. Support from friends and families, 3. Engaging local social welfare club members to disseminate the destructive impact, 4. Using signboard and poster on ETS at local tea stalls, 5. Organizing friendly sports with an embedded message of ETS awareness and 6. Woman empowerment

A total of 13 items met ≥75% of all the things consensus criteria (Table 4). Finally, a harm reduction model was developed, comprising core activities and the elements (Fig 2).

Table 4. Descriptive statistics and interquartile range of 1st and 2nd round.

Items 1st Round (n = 21) 2nd Round (n = 19)
Mean SD Median IQR Mean SD Median IQR
Implement Smoke-free Household
Specifying a place for smoking in the household 6.71 3.01 8 4 7.0 2.86 8.50 3.25
Design a no-smoking sign by a child of the house and put it on the doorway. 8.47 0.74 9 1* - - - -
Using a calendar and mark it after every smoking inside the house and check at the end of every month. 6.61 2.15 7 4 6.77 2.04 7.50 4
Taking help from those who already practice smoke-free rules. 8.38 0.92 9 1* - - - -
Developing a habit of smoking before coming home. 6.80 3.09 8 4 6.50 3.24 8 6.25
Change dress and wash hands before going near a child after smoking. 8.52 0.67 9 1* - - - -
Improve Religious practice
Practicing religious rules properly reduces ETS. 8.57 0.50 9 1* - - - -
Engaging religious leaders to inform the local people about the effect of smoking and ETS. 8.04 1.28 9 2 8.5 0.70 9 1*
Inspire from Peer
Support from spouse, parents, and other household members. 8.23 1.59 9 1.50 8.5 0.92 9 1*
Educating children about the impact of ETS exposure 8.42 1.39 9 0.50* - - - -
Increase Social Awareness
Engaging members of local social welfare club to aware local people about ETS. 8.19 1.07 9 2 8.4 0.78 9 1*
’Social movement’ such as implementing a fine for smoking inside the house by local social welfare club. The amount will be used for child welfare in the locality. 6.52 2.76 7 5 6.27 2.90 7 5.25
Increasing social awareness through the seminar. 7.42 2.15 9 3 7.27 2.27 9.5 3.25
Distributing leaflets, banners, and stickers about ETS. 8.28 1.10 9 1* - - - -
Using signboard and poster on ETS in the local tea stalls. 7.90 1.51 8 1.50 8.38 0.77 9 1*
Organizing friendly sports with the embedded message of ETS awareness. 7.95 1.43 9 2 8.44 0.78 9 1*
Influence of Social Norm and Culture
Woman empowerment 8.09 0.88 8 1.50 8.27 0.75 8 1*
Adapting social value 8.33 0.85 9 1* - - - -

*Achieved consensus

Fig 2. Harm reduction model for ETS exposure.

Fig 2

Discussion

This research is among the first research to reduce ETS exposure among children in Bangladesh’s rural area. The study identified five core activities through a modified Delphi technique, reducing ETS exposure among children in the household. The activities were listed as improving religious practice, implementing smoke-free homes, inspiring a peer, increasing social awareness, and influencing social norms and culture.

Religion has a significant influence on human life. It also influences human behaviour and social culture. As Bangladesh is a Muslim country where most of the population is from the Islamic faith, the belief and practice of the religion and the religious leaders’ support were found an effective way to reduce the ETS exposure as smoking is prohibited according to the Islamic rules [21]. This finding is similar to a recent study conducted in Bangladesh, where it was proved that religious leaders greatly influence general people and, utilizing them, positively can effectively reduce ETS [22].

Implementing smoke-free households has been a widely accepted practice in developed and developing countries for a long time to reduce ETS exposure. However, In Bangladesh, particularly in rural areas, it is difficult to make a house smoke-free. No smoking policy is practiced more in urban areas than in rural areas [23]. The household structure, surrounding environment, and rural area behaviour are barriers to making the house smoke-free. However, although it seems complicated, this research found that different initiatives involving children to make the home smoke-free, practicing healthy behaviour, and peer support can reduce ETS exposure in the household. Similar results were found in previous research in an urban area of Bangladesh [24]. The result is also consistent with the finding of a study conducted in China [25].

Peer support is significant to change any behaviour as the peer primarily influences a household and outside the home. Close family members and friends can help to improve and adopt a practice. Furthermore, children are considered as most precious to any parents. Children’s support also can change smokers’ behaviour to reduce exposure. This study’s finding also compliments the result from a similar survey conducted in China, where family interaction was found to reduce ETS exposure, and another from Ghana, where friends and spouses played a substantial role in reducing exposure of ETS [26, 27].

Awareness is essential to drop an unhealthy behaviour. Increased individual awareness can help understand health behaviour and social knowledge and motivate people to adopt healthy practices. Different initiatives, such as using print media items, seminars, workshops, and friendly sports, can help people become aware of healthy behaviour. Similar results also observed in the United States among African-born Women indicate that attending seminars and workshops, using media, and appealing to community members’ priorities, including protecting their children, can reduce ETS exposure [28].

Every society has its norm and culture, which are considered a guideline of behaviour for the local people. The study found that social value, and woman empowerment had influenced the exposure. In Bangladesh, people do not smoke in front of the elderly out of respect, which reduces exposure. Alternatively, this same attitude can help reduce exposure by showing care for children. Moreover, a restricted cultural norm has limited freedom to ask her husband not to smoke inside the house. By breaking the social taboo on a woman, giving the proper right to them can also effectively reduce smoking exposure. The finding aligns with the qualitative study conducted among rural Bangladeshi and urban Indian women who found male attitudes significantly reduced smoking [29]. Moreover, Bangladesh’s cultural norm gives men superior social status, allowing them to smoke in the house increasing ETS exposure inside the household [9].

The study had some limitations. Due to the cultural aspect of the rural area, most of the respondents were male, which may lead to selection bias. The cross-sectional study design measured both independent and dependent variables in a single point of time. All variables were self-reported, leading to misclassification due to recall and reporting bias. The outcome did not validate with cotinine estimation. The reason is that the Bangladeshi people have tobacco smoking and habit of betel chewing with tobacco which can be a mixed-use of tobacco and can bias the result with cotinine estimation due to the misclassification of tobacco use (inclusive of without smoke). Additionally, the study only focused on household factors. Other settings, such as restaurants, workplaces, or public places, were not included in the study, whereas these are potential places for ETS. Furthermore, only one district of Bangladesh had been included which may cause the result differ from other districts.

Despite having limitations, the research has its strength. The study used more than one method to identify and measure the correct variables for analysis. The mixed-method approach helps to complete the objective of the research comprehensively. As smoking is considered a sensitive topic, only conducting an interview means little opportunity to find the responders’ actual behaviour patterns and families. However, the interview gave the essential information to form more quantitative questions that provide more information about household practice with ETS exposure, especially related to the children. Over time, several interviews provided a more detailed description and a greater understanding of ETS’s family views. Nevertheless, a large randomized control trial to detect the model’s effectiveness in the long term using biochemical validation of children is recommended for future research.

Supporting information

S1 File. Questionnaire for cross sectional study.

(PDF)

S2 File. Qualitative questions.

(PDF)

S3 File. Questionnaire for modified Delphi method.

(PDF)

Acknowledgments

The first author acknowledges Naresuan University, Thailand to award him Naresuan University International Student Scholarship 2016 for pursuing Doctor of Public Health degree.

Data Availability

Data are available on https://datadryad.org/stash/share/kNWzQQ4egnoLlymWwJ2xmOPFi0mS0qIh9lghKdZFmsE.

Funding Statement

The authors received no specific funding for this work.

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Decision Letter 0

Md Mosharaf Hossain

11 Jan 2022

PONE-D-21-24273A Harm Reduction Model for Environmental Tobacco Smoke Exposure among Bangladeshi Rural Household Children: A Modified Delphi Technique ApproachPLOS ONE

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PONE-D-21-24273

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**********

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Reviewer #1: 1, In the cross-sectional study, it was indicated an overwhelming participant was male (70.7%) majority were married (85.6%) and completed from university (38.5%). Please check the data about the participant completed university education.

2, It seems that the research finding can not support the research goal.

3, The manuscript looks like a research report, rather than a academic paper.

4, The tables in the manuscript need to be format again.

5, The language need polish.

Reviewer #2: • Page 6: under Phase 3: evaluation of the model; It is suggested to mention what modification was done to the Delphi technique for better clarification of the modification in the method.

• Page 6: under Phase 3: evaluation of the model; Calculation of the consensus on Interquartile range (IQR) was not clarified enough and recommended to have a proper explanation on how IQR was calculated based on the response score and the reason for the cut point is set at less than/ equal to 1. (This point links the result table shown in Page 17).

• Page 21: “The outcomes did not validate with cotinine estimation” which needs proper explanation to mention. The reason is that the Bangladeshi people have tobacco smoking and habit of betel chewing with tobacco which can be a mixed-use of tobacco and can bias the result with cotinine estimation due to the misclassification of tobacco use (inclusive of without smoke).

• In figure 2: Just want to clarify that one item was not listed in the figure. Only 12 items out of 13 consensus criteria were reflected with one point omitting “distributing leaflets, banners and stickers about ETS”. Is that point covered under “using print materials” or missed to mention?

Reviewer #3: PONE-D-21-24273: statistical review

SUMMARY: This is a study of environmental tobacco smoke exposure among children in a district of Bangladesh. Both qualitative and quantitative research methods have been implemented, across the three phases summarized by Figure 1. My review will focus on the statistical analysis of phase 1, which essentially relies on a logistic regression analysis of a cross-sectional sample.

MAJOR ISSUES

1. The sample includes households of 6 villages in the Munshiganj district, randomly selected from 64 districts. Although I understand logistics constraints, a sample of villages drawn from different districts would have been a much more natural procedure and results could have been extended to the Bangladeshi population. Taking villages from one district leads to results that are instead much more limited. I think that the overall paper should be rephrased by assuming that the target population is the rural part of the Munshiganj district.

2. If I understood correctly (not clear from text, please clarify), the dependent variable in the logistic regressions of Table 2 is always smoke exposure, included as a self-reported binary variable. I'm quite a bit concerned about the dichotomous definition of exposure: what do 0 and 1 exactly mean here? How can we be sure that all the subjects give to 0 and 1 the same meaning? Without a clear-cut definition of the dependent variable, the results of table 2 are difficult to interpret.

3. Table 2 displays the results of a battery of logistic regressions, where some relevant covariates are included separately and then adjusted for confounders. This is not a standard approach: relevant covariates should be included simultaneously. I'd welcome a single, carefully selected (see major issue 4 below) logistic regression that includes the ORs of all the relevant covariates and the confounders.

4. Model checking is overlooked. Without asking for a full model diagnostic, the authors should at least provide some residual analysis that show the goodness of fit of the model.

SPECIFIC ISSUES

1. Although the English is generally correct, some sentences should be revised. Examples are: “The cross-sectional study observed”, “Through purposive sampling, the experts were selected”, “completed from university”, “It's not liked the town”…

2. The caption of Table 2 remarks that the ORs are adjusted for some confounders (age, gender, income, religious belief, knowledge, environmental impact, media influence, perception, attitude, intention, perceived behavior control). Only some of these variables are summarized by Table 1: what about the others? In addition, Table 1 should display the ORs associated with these confounders, too.

**********

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Reviewer #2: No

Reviewer #3: No

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PLoS One. 2023 Feb 16;18(2):e0276424. doi: 10.1371/journal.pone.0276424.r002

Author response to Decision Letter 0


25 Jan 2022

Manuscript ID: PONE-D-21-24273

Title: A Harm Reduction Model for Environmental Tobacco Smoke Exposure among Bangladeshi Rural Household Children: A Modified Delphi Technique Approach

Journal Requirements:

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

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https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Response: Corrected accordingly.

2. Please include additional information regarding the survey or questionnaire used in the study and ensure that you have provided sufficient details that others could replicate the analyses. For instance, if you developed a questionnaire as part of this study and it is not under a copyright more restrictive than CC-BY, please include a copy, in both the original language and English, as Supporting Information.

Response: Included the Questionnaire.

3. Thank you for stating the following financial disclosure:

"No"

At this time, please address the following queries:

a) Please clarify the sources of funding (financial or material support) for your study. List the grants or organizations that supported your study, including funding received from your institution.

b) State what role the funders took in the study. If the funders had no role in your study, please state: “The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”

c) If any authors received a salary from any of your funders, please state which authors and which funders.

d) If you did not receive any funding for this study, please state: “The authors received no specific funding for this work.”

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

Response: The authors received no specific funding for this work.

4. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions.

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

We will update your Data Availability statement on your behalf to reflect the information you provide.

Response:Data included in the the following DOI

https://doi.org/10.5061/dryad.f7m0cfxz7

Reviewer 1:

Reviewer Comment

1.In the cross-sectional study, it was indicated an overwhelming participant was male (70.7%) majority were married (85.6%) and completed from university (38.5%). Please check the data about the participant completed university education.

Response: We are thankful to the honourable reviewer for his comments. It was 37.5%.

2. It seems that the research finding can not support the research goal.

Response: Thank you for the comment. The research goal was to develop a harm reduction model by applying the modified Delphi technique, and finally, the model was developed in this research.

3. The manuscript looks like a research report, rather than a academic paper.

Response: We apricated the honourable reviewer comments. As the research is from the first author's doctoral thesis, the detailing of the manuscript is extensive, which may looks like a report.

4. The tables in the manuscript need to be format again.

Response: Done accordingly to the Plos One Guideline

5. The language need polish.

Response: Done accordingly.

Reviewer 2:

Reviewer Comment:

Page 6: under Phase 3: evaluation of the model; It is suggested to mention what modification was done to the Delphi technique for better clarification of the modification in the method.

Response: Thank you for the query. We have included the following information “ The modified Delphi technique is alike to the full Delphi in terms of technique. The major adjustment contains of beginning the procedure with a set of prudently selected items. These pre-selected items may be drawn from several sources. The key advantage of this modification to the Delphi is that it typically improves the initial round response rate and also provides a solid foundation in previously developed work”

• Page 6: under Phase 3: evaluation of the model; Calculation of the consensus on Interquartile range (IQR) was not clarified enough and recommended to have a proper explanation on how IQR was calculated based on the response score and the reason for the cut point is set at less than/ equal to 1. (This point links the result table shown in Page 17).

Response: To calculate the strength of the consensus, Interquartile range (IQR) is used. We have used the reference of Persai D, Panda R, Kumar R, Mc Ewen A. A Delphi study for setting up tobacco research and practice network in India. Tobacco induced diseases. 2016;14:4-. and Lefkothea Giannarou EZ. Using Delphi technique to build consensus in practice. Int Journal of Business Science and Applied Management,. 2014;9(2).

• Page 21: “The outcomes did not validate with cotinine estimation” which needs proper explanation to mention. The reason is that the Bangladeshi people have tobacco smoking and habit of betel chewing with tobacco which can be a mixed-use of tobacco and can bias the result with cotinine estimation due to the misclassification of tobacco use (inclusive of without smoke).

Response: Thank you for the suggestion. We have included the suggested portion.

• In figure 2: Just want to clarify that one item was not listed in the figure. Only 12 items out of 13 consensus criteria were reflected with one point omitting “distributing leaflets, banners and stickers about ETS”. Is that point covered under “using print materials” or missed to mention?

Response: The honourable reviewer is absolutely right. It was included under distributing leaflets, banners and stickers about ETS.

Reviewer 3:

1. The sample includes households of 6 villages in the Munshiganj district, randomly selected from 64 districts. Although I understand logistics constraints, a sample of villages drawn from different districts would have been a much more natural procedure and results could have been extended to the Bangladeshi population. Taking villages from one district leads to results that are instead much more limited. I think that the overall paper should be rephrased by assuming that the target population is the rural part of the Munshiganj district.

Response: We apricated the honourable reviewer's view and partially agreed with his comments. Obviously, it would be great to obtain data from various districts of Bangladesh. However, that was very time consuming and needed funding. As Bangladesh is not a big country, rural areas are almost the same everywhere. That’s why the rural area reflects the other plain area except for the three hilly areas we mentioned in the research.

2. If I understood correctly (not clear from text, please clarify), the dependent variable in the logistic regressions of Table 2 is always smoke exposure, included as a self-reported binary variable. I'm quite a bit concerned about the dichotomous definition of exposure: what do 0 and 1 exactly mean here? How can we be sure that all the subjects give to 0 and 1 the same meaning? Without a clear-cut definition of the dependent variable, the results of table 2 are difficult to interpret.

Response: In this research, exposure to passive smoking indicates exposure to another person’s tobacco smoke in the household for at least 15 minutes daily for more than one day every week in the past 30 days. Though we have collected the data through a self-administered questionnaire, the researchers gave a brief description of how to fill the data, and if they failed to understand, they were provided with a toll-free number to discuss with the researcher.

3. Table 2 displays the results of a battery of logistic regressions, where some relevant covariates are included separately and then adjusted for confounders. This is not a standard approach: relevant covariates should be included simultaneously. I'd welcome a single, carefully selected (see major issue 4 below) logistic regression that includes the ORs of all the relevant covariates and the confounders.

Response: Thank you for the comments. The adjusted portion of the table was not included separately. It was included together. However, only the significant outcome was shown in the table. For better understanding, we include the full table here.

Logistic regression: Odds ratios (ORs) and 95% confidence intervals (CI) of demographic variables and independents variables with dependent variable

Variable B Sig. OR 95% CI for OR

Lower Upper

Variables which are significant in the regression model

Smoker in the household

Yes Reference

No -5.146 .000* .006 .002 .021

Household smoking rules

No/low implementation Reference

Highly implementation -5.222 .000* .005 .001 .058

Social norm and culture

Low influence Reference

Moderate influence -3.094 .009* .045 .004 .461

High influence -3.771 .001* .023 .002 .224

Subjective Norm

Negative Reference

Neutral -3.734 .017* .024 .001 .510

Positive -3.548 .019* .029 .001 .561

Variables which are not significant in the regression model

Gender

Male Reference

Female -.115 .885 .891 .189 4.210

Age in year

18-24 Reference

25-44 -1.182 .152 .307 .061 1.545

45-64 .034 .973 1.034 .153 6.977

65+ 1.339 .506 3.816 .074 197.624

Marital status

Single Reference

Married -.039 .948 .961 .292 3.162

Education

No formal schooling Reference

Primary schooling .653 .620 1.921 .146 25.259

Secondary schooling .536 .693 1.709 .119 24.493

College -.482 .743 .618 .035 11.008

University -.668 .650 .512 .028 9.223

Employment

Unemployed Reference

Service holder -.415 .622 .661 .127 3.434

Business .191 .837 1.210 .197 7.420

Agriculture .789 .372 2.201 .389 12.448

Religion

Islam Reference

Other 1.083 .156 2.953 .661 13.203

Household income in BDT

<5000 Reference

5000-10000 .114 .899 1.121 .193 6.495

10001-15000 .916 .300 2.500 .442 14.127

15001-20000 -.938 .325 .391 .061 2.532

20001-30000 -1.185 .229 .306 .044 2.108

>30000 1.466 .197 4.330 .467 40.167

Number of children in the household

1 Reference

2-3 .632 .306 1.882 .561 6.313

4-5 -1.524 .100 .218 .036 1.336

6-7 1.728 .834 5.632 .000 56707685.132

Media

Low Reference

High -1.949 .277 .142 .004 4.799

Household and Environment

Low Reference

High -.125 .813 .883 .314 2.478

Knowledge

Low Reference

Moderate -.894 .113 .409 .135 1.236

High -.186 .796 .830 .203 3.399

Self-belief

Low Reference

High 4.391 .250 80.689 .045 144177.473

Religious belief

Low Reference

Moderate 1.256 .326 3.511 .287 43.026

High .130 .902 1.139 .143 9.060

Social awareness

Low Reference

High .493 .688 1.638 .148 18.170

Intention

Negative Reference

Neutral 1.321 .725 3.749 .002 5903.248

Positive -1.593 .183 .203 .020 2.119

Attitude

Negative and Neutral Reference

Positive -2.359 .087 .094 .006 1.410

Perceived behavior control

Negative Reference

Neutral -.683 .490 .505 .073 3.512

Positive -.028 .977 .972 .142 6.641

4. Model checking is overlooked. Without asking for a full model diagnostic, the authors should at least provide some residual analysis that show the goodness of fit of the model.

Response: Thanks for the comments. The model was checked. The model predicted 91.7% of the correct estimate. The model chi-square (x2=371.792, d.f. = 40, p = 0.000), assessing goodness-of-fit, was significant, indicating that the independent variables are not related to the log odds of the dependent variable. The Hosmer and Lemeshow test was not significant (x2=7.481, d.f. = 8, p = 0.486), confirming the model's goodness of fit.

6. Although the English is generally correct, some sentences should be revised. Examples are: “The cross-sectional study observed”, “Through purposive sampling, the experts were selected”, “completed from university”, “It's not liked the town”…

Response: Thank you. We have tried to correct the sentence.

7. The caption of Table 2 remarks that the ORs are adjusted for some confounders (age, gender, income, religious belief, knowledge, environmental impact, media influence, perception, attitude, intention, perceived behavior control). Only some of these variables are summarized by Table 1: what about the others? In addition, Table 1 should display the ORs associated with these confounders, too.

Response: Thank you for the query. Kindly Check the response of question no 3.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Md Mosharaf Hossain

4 Jul 2022

PONE-D-21-24273R1A Harm Reduction Model for Environmental Tobacco Smoke Exposure among Bangladeshi Rural Household Children: A Modified Delphi Technique ApproachPLOS ONE

Dear Dr. Noosorn,

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Reviewer #2: All comments have been addressed

Reviewer #3: (No Response)

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Reviewer #3: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

Reviewer #3: No

**********

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Reviewer #2: The authors addressed my question points comprehensively in the manuscript. Well done and thank you.

Reviewer #3: I'm generally satisfied with most of the work made by the authors in this revision. I just have some residual requests:

1) I still think that taking villages from one district coud lead to results that are difficult to extend to the general population. Although the authors disagree on this point, I would suggest to add this issue among the possbile limitations of the study.

2) Lines 245-248: "The model predicted 91.7% of the correct estimate. The model chi-square (x2=371.792, df. = 40, p = 0.000), assessing goodness-of-fit, was significant, indicating that the independent variables are not related to the log odds of the dependent variable." The meaning of these two sentences is not clear. I suggest to remove them. The Hosmer and Lemeshow test provides enough information about the model goodness of fit.

3) Data: I was not able to retrieve the data from Dryad, using the address the authors provided, doi:10.5061/dryad.f7m0cfxz7. Please provide a link that directly points to the dataset

**********

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Reviewer #2: Yes: Sun Tun

Reviewer #3: No

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PLoS One. 2023 Feb 16;18(2):e0276424. doi: 10.1371/journal.pone.0276424.r004

Author response to Decision Letter 1


17 Jul 2022

Manuscript ID: PONE-D-21-24273

Title: A Harm Reduction Model for Environmental Tobacco Smoke Exposure among Bangladeshi Rural Household Children: A Modified Delphi Technique Approach

Journal Requirements:

1. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Response: Corrected accordingly.

Please check reference numbers 6, 7

Reviewer 3:

Reviewer Comment:

1. I still think that taking villages from one district coud lead to results that are difficult to extend to the general population. Although the authors disagree on this point, I would suggest to add this issue among the possbile limitations of the study

Response: Thank you for the suggestion. I have added the limitation on page 22 lines 355-356.

2. Lines 245-248: "The model predicted 91.7% of the correct estimate. The model chi-square (x2=371.792, df. = 40, p = 0.000), assessing goodness-of-fit, was significant, indicating that the independent variables are not related to the log odds of the dependent variable." The meaning of these two sentences is not clear. I suggest to remove them. The Hosmer and Lemeshow test provides enough information about the model goodness of fit.

Response: According to the advice of the reviewer, the lines were removed.

3) Data: I was not able to retrieve the data from Dryad, using the address the authors provided, doi:10.5061/dryad.f7m0cfxz7. Please provide a link that directly points to the dataset

Response: Thank you for the query. Please check https://datadryad.org/stash/share/kNWzQQ4egnoLlymWwJ2xmOPFi0mS0qIh9lghKdZFmsE

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 2

Muhammad Tayyab Sohail

7 Oct 2022

A Harm Reduction Model for Environmental Tobacco Smoke Exposure among Bangladeshi Rural Household Children: A Modified Delphi Technique Approach

PONE-D-21-24273R2

Dear Dr. Noosorn,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Academic Editor

PLOS ONE

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Comments to the Author

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Reviewer #2: All comments have been addressed

Reviewer #3: All comments have been addressed

**********

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The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #2: Yes

Reviewer #3: (No Response)

**********

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Reviewer #2: Yes

Reviewer #3: (No Response)

**********

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The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: Yes

Reviewer #3: (No Response)

**********

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Reviewer #3: (No Response)

**********

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Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

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Reviewer #2: Yes: Sun Tun

Reviewer #3: No

**********

Acceptance letter

Muhammad Tayyab Sohail

7 Feb 2023

PONE-D-21-24273R2

A harm reduction model for environmental tobacco smoke exposure among Bangladeshi rural household children: a modified Delphi technique approach

Dear Dr. Noosorn:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

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on behalf of

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. Questionnaire for cross sectional study.

    (PDF)

    S2 File. Qualitative questions.

    (PDF)

    S3 File. Questionnaire for modified Delphi method.

    (PDF)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    Data are available on https://datadryad.org/stash/share/kNWzQQ4egnoLlymWwJ2xmOPFi0mS0qIh9lghKdZFmsE.


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