Literature DB >> 36119189

Knowledge, attitude, and practices toward tobacco control among rural community health care workers of primary subcenters in Belagavi district, Karnataka.

Atrey J Pai Khot1, Anil V Ankola1, Roopali M Sankeshwari1, Abhra Roy Choudhury1, K Ram Surath Kumar1, Mehul A Shah1.   

Abstract

Context: Tobacco is the common cause to a number of illnesses affecting millions of individuals all over the world. Primary care physicians are the initial point of contact for tobacco users, yet reaching everyone is impossible. Therefore, it is important to understand community health workers attitude to render community services in tobacco cessation counseling. Aim: To assess knowledge, attitude, practices, and occupational barriers toward tobacco control among community health care workers in Belagavi district, Karnataka. Settings and Design: This cross-sectional study was conducted in various subcenters of Belagavi district, Karnataka. Methods and Material: Simple random sampling technique was employed and 220 participants were interviewed using an interviewer administered questionnaire comprising of 22 close ended questions. Reliability of the questionnaire assessed with Cronbach's a value of 0.85, face validity 84%, and content validity ratio 0.78. Statistical Analysis Used: The data were analyzed using descriptive analysis, chi square analysis, correlation, and regression.
Results: The mean knowledge score among Accredited Social Health Activist (ASHA) workers was 4.77 ± 2.11 and it was lower in Anganwadi workers 2.93 ± 2.55. There was a statistically significant difference in the attitude scores (P < 0.05) between the community health workers. The majority of the ASHA workers would spread awareness, on the other hand, Anganwadi workers did not take any specific step which showed statistically significant difference with a P value of 0.018.
Conclusion: ASHA workers had been superior to Anganwadi workers with regard to knowledge and attitude toward tobacco control. However, knowledge regarding tobacco and its ill effects was below optimal level among community health workers which desires to thoroughly educate in the aspects of oral health and disorders as part of their training. Copyright:
© 2022 Journal of Family Medicine and Primary Care.

Entities:  

Keywords:  ASHA workers; Anganwadi workers; community health worker’s; tobacco control

Year:  2022        PMID: 36119189      PMCID: PMC9480734          DOI: 10.4103/jfmpc.jfmpc_2216_21

Source DB:  PubMed          Journal:  J Family Med Prim Care        ISSN: 2249-4863


Introduction

Tobacco has become an ever-growing global menace and has emerged as the leading cause of death throughout the world with 6 million deaths each year, of which 5 million are directly attributable to tobacco use.[1] The Global Adult Tobacco Survey (GATS-2) in 2017 reviews that tobacco is consumed by 28.6% of Indian population including 10.7% smoke form and 21.4% use smokeless tobacco.[23] The National Tobacco Control Programme was introduced by the Indian government with the goal of raising awareness about the ill effects of tobacco consumption, reducing tobacco production and supply, and ensuring effective implementation of the provisions of “The Cigarettes and Other Tobacco Products Act, 2003.”[2] In addition, with the goal of assisting people in quitting smoking and facilitating the implementation of tobacco preventive and control policies proposed by the WHO framework convention on tobacco control.[3] These diseases lead not only to ailments affecting disability adjusted life years but also to a significant economic and environmental burden on societies.[45] Primary care basic concept is to deliver medical care keeping patients and the community in mind. Traditionally, it is the initial point of interaction a person has with the health system; the point where people receive care for most of their everyday health needs.[6] Primary care providers (PCPs) which includes physician and medical officers are in an ideal position to support tobacco cessation efforts as they represent the first point-of-care for the majority of tobacco users. Patients would appreciate the advice of these health care professionals and try to implement it in their lifestyle. It is distinctly evident that training physicians and dentists in tobacco cessation is not sufficient for a practice to reach the number of individuals necessary to produce a measurable change in tobacco cessation.[78] Tobacco cessation services can be augmented by integrated approach by mobilizing health care providers in the community. National Rural Health Mission proposed introduction of community health workers namely Accredited Social Health Activist (ASHA) in order to provide effective health care to the rural population. Similarly, Anganwadi workers are voluntary community serving frontline workers of the integrated child development services (ICDS) Programme. They play a central role in achieving national health and population policy goals by forming a bridge between the rural people and health service outlets.[9] Thus, they are expected to educate community regarding the risk factors for NCDs like unhealthy diet, physical inactivity, and intake of tobacco.[1011] Nationwide studies on ASHAs and Anganwadi workers impact on generating demand for health and mobilizing community to services have shown positive results. As a bridge between the community and health system ASHA and Anganwadi workers are in a distinctive place to raise awareness on tobacco-related issues. There is marked lacunae in literature about ASHA and Anganwadi workers collectively functioning toward tobacco control. This study investigates whether community health care personnel such as ASHAs and Anganwadi workers can be used to inform and educate the public about tobacco and its adverse effects. Therefore, objectives of this study are to assess knowledge, attitude, practices of community health workers toward tobacco control, and to compare knowledge, attitude, practices, and perceptions among ASHA workers versus Anganwadi workers toward tobacco control.

Subject and Methods

This study implements an observational, cross-sectional study design and had been carried out in accordance with the STROBE guidelines to collect prevalent data about the knowledge, attitude, and practices toward tobacco control in Belagavi district, Karnataka. Ethical approval for this research was acquired from the institutional review board (Ref. No: 1414). The study was conducted in the month of April 2021. The purpose of the study was explained to the participants and written informed consent was obtained from them. Those present on the day of the study and willing to give informed consent were included in the study.

Questionnaire validation

Pilot study conducted on small sample of 8 Medical Service Worker’s to detect any problem with design like ambiguity of words, inability to understand the questions, and other problems associated with questionnaire. Reliability of the questionnaire was assessed with the help of Cronbach’s a and was found to be 0.85 and validity of the questionnaire was assessed using face validity (84%) and content validity ratio (0.78). Based on the feedback from the pre-test, the questionnaire was further refined by additions and deletions to make it more appropriate and specific to the aim of the study and hence a valid questionnaire was designed.

Sample size estimation and sampling technique

Sample size was calculated using the formula n = 4pq/d2, based on responses observed in the pilot study (p = 65%) where, p = prevalence, q = 1-p, d = error (10% of p), the sample size was 215 rounding off to 220. The list of participants from all the subcenters obtained and they were selected based on simple random technique to actively participate in the study.

Questionnaire details

The self-administered questionnaires comprising of 22 close ended questions in regional language out of which 12 were knowledge based, 7 attitude based, and 3 practices based were distributed to the participants at their work place. Participants were instructed to attempt all the questions within the time span of 15 min. The initial part of the questionnaire contained general socio-demographic details of the participant which was later utilized for qualitative analysis and later part covered various aspects of awareness about tobacco and its harmful effects.

Statistical analysis

Collected data were entered in MS Excel and analyzed using IBM-SPSS® Statistics-Version 21 (USA: IBM Corp.). Descriptive statistics was applied for the frequency distribution and percentage of community health care workers. Chi-square test for the association between the study variables, knowledge, and attitude questions. Consecutively, Mann–Whitney U test was applied to test significance among both the category of workers and Kruskal–Wallis test applied to test significance among the other study variables. In addition, the correlation between the knowledge and attitude scores was evaluated by Spearman’s rank correlation coefficient test whereas, their association with the demographic details of the health care professionals was analyzed by simple linear regression and multivariate linear regression analysis. The statistical significance was set at P ≤ 0.05 for all the tests.

Results

A total of 220 responses from community health care workers were obtained, out of which 105 (47.7%) were ASHA workers and 115 (52.3%) were Anganwadi workers. The sociodemographic characteristics of the respondents are depicted in [Table 1]. Chi square association between community health workers and various other factors are depicted in [Table 2].
Table 1

Descriptive statistics from sociodemographic details

CharacteristicsASHA (n=105) (%)Anganwadi (n=115) (%)
Age
 <306 (5.7%)5 (4.3%)
 30-4052 (49.5%)23 (20%)
 41-5045 (42.8%)44 (38.3%)
 >502 (1.9%)43 (37.4%)
Average (mean)(40.05±5.37) years(46.09±8.75) years
Education Qualification
 Lower than 10th STD17 (16.2%)14 (12.2%)
 10th STD46 (43.8%)65 (56.5%)
 PUC39 (37.1%)32 (27.8%)
 Higher than PUC3 (2.9%)4 (3.5%)
Years of Service
 <1041 (39%)16 (13.9%)
 10-1564 (61%)12 (10.43%)
 16-20021 (18.3%)
 21-25053 (46.1%)
 >25013 (11.3%)
Average (mean)(9.05±2.68) years(20.34±6.70) years
Table 2

Association between community health workers and other factors

(A) Based on knowledge of respondents

QuestionResponseASHA workersAnganwadi workers P
Do you know about Nicotine being an addictive substance in tobacco?Non addictive4 (3.8%)7 (6.1%)≤0.001*
Addictive**75 (71.4%)65 (56.5%)
Don’t know26 (24.8%)43 (37.4%)
What are the adverse health effects of tobacco consumption?Cancer69 (65.7%)65 (56.5%)0.002*
Cardiovascular diseases00
Respiratory diseases00
Effect on pregnancy and its outcomes36 (34.3%)13 (11.3%)
All of the above**37 (32.2%)
Which is the most common age for initiation of tobacco use amongst people in India?<12 years18 (17.1%)24 (20.9%)≤0.001*
13-19 years**66 (62.9%)43 (37.4%)
20-29 years20 (19.0%)48 (41.7%)
>30 years1 (1.0%)0
What is the most common reason for an individual to consume tobacco and its products?Fashion and trends21 (20.0%)25 (21.7%)0.068*
Mental/emotional stress37 (35.2%)40 (34.8%)
Peer Pressure**41 (39.0%)32 (27.8%)
Unknown6 (5.7%)18 (15.7%)
Which are the forms of tobacco most prevalent that you are aware of?Beedis23 (21.9%)32 (27.8%)≤0.001*
Cigarettes**35 (33.3%)15 (13.0%)
Paan with areca nut10 (9.5%)23 (20.0%)
Gutkha37 (35.2%)36 (31.3%)
Others09 (7.8%)
Secondhand smoke isSmoke that is breathed in by the smoker28 (26.7%)29 (25.2%)≤0.001*
Pollution from smoke stacks and car exhaust04 (3.5%)
Smoke from the burning end of a cigarette inhaled by nonsmokers**15 (14.3%)25 (21.7%)
Active smoking8 (7.6%)28 (24.3%)
Don’t know54 (51.4%)29 (25.2%)
The law prohibits the sale of tobacco products via vending machines and within 100 yards of…Any educational institute**59 (56.2%)51 (44.3%)0.080*
Health centers33 (31.4%)37 (32.2%)
Cinema hall3 (2.9%)12 (10.4%)
Any place of worship10 (9.5%)15 (13.0%)
Which is the principle comprehensive law governing tobacco control in India?Food and Drug Administration (FDA)19 (18.1%)44 (38.3%)≤0.001*
Cigarettes and Other Tobacco Products Act (COTPA)**46 (43.8%)26 (22.6%)
Drugs and Cosmetic Act (DCA)11 (10.5%)5 (4.3%)
National Tobacco Control Program (NTCP)29 (27.6%)40 (34.8%)
Select the correct statement for E-CigarettesIt is relatively safe tobacco substitute4 (3.8%)6 (5.2%)
It does not contain nicotine6 (5.7%)11 (9.6%)0.175*
It is a battery-operated electronic device that works by heating a liquid into an aerosol that users inhale and exhale**4 (3.8%)7 (6.1%)
No age restriction for its consumption4 (3.8%)0
Don’t know87 (82.9%)91 (79.1%)
What are the functions of National Tobacco Control Program (NTCP)?Monitoring of tobacco control laws13 (12.4%)8 (7.0%)≤0.001*
Setting-up and strengthening of cessation facilities including provision of pharmacological treatment facilities at district level27 (25.7%)21 (18.3%)
Training and counseling of health and social workers14 (13.3%)12 (10.4%)
All of the above**38 (36.2%)18 (15.7%)
None of the above3 (2.9%)8 (7.0%)
Don’t know10 (9.5%)48 (41.7%)
Is it necessary to follow prescribed Nicotine Replacement Therapy (NRT) along with dosage instructions carefully to avoid over dosage?Yes **52 (49.5%)22 (19.1%)≤0.001*
No22 (21.0%)3 (2.6%)
Over the counter can be given3 (2.9%)0
Don’t know28 (26.7%)90 (78.3%)
Which are the forms of NRT available?Patches22 (21.0%)6 (5.2%)≤0.001*
Gums21 (20.0%)14 (12.2%)
Lozenges17 (16.2%)1 (0.9%)
Nasal spray1 (1.0%)0
All of the above**7 (6.7%)0
Don’t know37 (35.2%)94 (81.7%)

*Indicates Chi-Square test. **Indicates correct answer

Descriptive statistics from sociodemographic details Association between community health workers and other factors *Indicates Chi-Square test. **Indicates correct answer *Indicates Chi-Square test

Knowledge about tobacco product and its consequences

The community health workers were assessed for knowledge by 12 knowledge-based questions and categorizing them into high (>8 score), medium (>4 score), and low (<4 score). However, the majority of community health workers, 140 (63.64%), had a low knowledge score, whereas 70 (31.82%) had medium and 10 (4.54%) had high knowledge scores [Figure 1]. Kruskal–Wallis test depicted that there was significant difference (P < 0.05) in the knowledge scores between the community health workers with different age (<30, 30–40, 41–50, >50), different years of experience (<10 years, 10–15 years, 16–20 years, 21–25 years, and >25 years). Mann–Whitney U test showed that there was significant difference in the knowledge scores between the community health care workers (P ≤ 0.001) [Table 3]. The mean overall knowledge score among community health care workers was 4.77 ± 2.11 in ASHA workers and lower in Anganwadi workers 2.93 ± 2.55. However, according to age wise distribution, ASHA workers had higher knowledge score in age group of 30 to 40 (4.88 ± 2.03) years and Anganwadi workers in age group of <30 (9 ± 2) years. Considering education qualification knowledge score was higher among highly qualified community health workers. Year of experience also had significant effect on knowledge of an individual. ASHA workers with experience of 10 to 15 years had higher knowledge score of 4.82 ± 2.07, whereas Anganwadi workers with less than 10 years’ experience had high knowledge score of 6.69 ± 2.21.
Figure 1

Knowledge score toward tobacco control among community healthcare workers

Table 3

Knowledge scores among the community healthcare workers

Knowledge scoren (mean±SD)

ASHAAnganwadiRank P
Total***105 (4.77±2.11)115 (2.93±2.55)138.20, 85.20≤0.001*
Based on Age**
 <306 (3±2.37)5 (9±2)143.91≤0.001*
 30-4052 (4.88±2.03)23 (4.57±1.56)140.39
 41-5045 (5±2.08)44 (2.86±2.59)113.47
 >502 (2±0)43 (1.42±0.96)46.64
 Average (mean)105 (4.77±2.11)115 (2.93±2.55)
Based on Education qualification**
 <10th Standard17 (2.82±1.67)14 (1±0.78)62.69≤0.001*
 10th Standard46 (4.07±1.54)65 (2.46±2.05)95.14
 PUC39 (6.28±1.69)32 (4.13±2.85)147.46
 Higher than PUC3 (7±2.65)4 (7.75±1.50)190.86
 Average (mean)105 (4.77±2.11)115 (2.93±2.55)
Based on years of experience**
 <10 years41 (4.68±2.21)16 (6.69±2.21)147.40≤0.001*
 10-15 years64 (4.82±2.07)12 (4.75±2.67)138.37
 16-20 years021 (3.52±2.04)104.93
 21-25 years053 (1.53±1.32)49.39
 >25 years013 (1.38±0.77)43.92
 Average (mean)105 (4.77±2.11)115 (2.93±2.55)

*Statistically significant P≤0.05, **Kruskal-Wallis Test, ***Mann-Whitney U Test

Knowledge score toward tobacco control among community healthcare workers Knowledge scores among the community healthcare workers *Statistically significant P≤0.05, **Kruskal-Wallis Test, ***Mann-Whitney U Test

Attitude toward tobacco control

The attitude of community health workers was assessed by 7 attitude-based questions and categorizing into positive (>3 score) and negative (<4 score). The majority of the community health workers, 86% (189), had a positive attitude toward the tobacco control and, on the other hand, 14% (31) participants had a negative attitude [Figure 2]. There was a statistically significant difference in the attitude scores (P < 0.05) between the community health workers with different age (<30, 30–40, 41–50, >50), level of education (less than 10th STD, 10th STD, PUC, more than PUC), and different years of experience (<10 years, 10–15 years, 16–20 years, 21–25 years, and >25 years) when tested by the Kruskal–Wallis test. Mann–Whitney U test for the attitude scores between the ASHA and Anganwadi health care workers depicted that they were statistically significant with a P value of ≤0.001 [Table 4]. The mean attitude score among the participants was 4.90 ± 1.26 with the highest in ASHA workers in age group of <30 years (5.33 ± 0.52), with higher qualification (6.33 ± 1.15) and with year of experience of 10 to 15 (5.23 ± 2.07) years, whereas in Anganwadi workers, attitude score is highest in age group <30 (5.60 ± 0.55) years, with higher educational qualification (7) and with year of experience of less than 10 years (6.19 ± 0.83).
Figure 2

Attitude score toward tobacco control among community healthcare workers.

Table 4

Attitude scores among the community healthcare workers

Attitude scoren (mean±SD)

ASHAAnganwadiRank P
Total***105 (4.77±2.11)115 (2.93±2.55)123.68, 98.47≤0.001*
Based on Age**
 <306 (5.33±0.52)5 (5.60±0.55)140.00≤0.001*
 30-4052 (5.17±0.94)23 (5.43±1.27)126.15
 41-5045 (5.13±1.22)44 (4.80±1.37)114.51
 >502 (5±0)43 (3.98±1.22)69.29
 Average (mean)105 (5.16±1.04)115 (4.65±1.39)
Based on Education qualification**
 <10th Standard17 (4.53±1.28)14 (4.21±1.37)88.47≤0.001*
 10th Standard46 (5.02±0.91)65 (4.37±1.23)97.27
 PUC39 (5.51±0.88)32 (5.13±1.41)132.32
 Higher than PUC3 (6.33±1.15)4 (7±0)196.57
 Average (mean)105 (5.16±1.04)115 (4.65±1.39)
Based on years of experience**
 <10 years41 (5.05±1.14)16 (6.19±0.83)132.45≤0.001*
 10-15 years64 (5.23±2.07)12 (4.92±1.24)124.94
 16-20 years021 (4.95±1.02)104.90
 21-25 years053 (4.04±1.30)71.60
 >25 years013 (4.54±1.39)97.46
 Average (mean)105 (4.77±2.11)115 (4.65±1.39)

*Statistically significant P≤0.05, **Kruskal-Wallis Test, ***Mann-Whitney U Test

Attitude score toward tobacco control among community healthcare workers. Attitude scores among the community healthcare workers *Statistically significant P≤0.05, **Kruskal-Wallis Test, ***Mann-Whitney U Test

Practices about tobacco control among community health workers

A greater number, 87 (82.9%), of ASHA and, 48 (41.7%), Anganwadi workers had received formal training in tobacco cessation counseling but 18 (17.1%) ASHA workers and 67 (58.3%) Anganwadi workers stated that they did not perceive any training that showed a high statistically significant difference among the different fields (P ≤ 0.001). The majority of the ASHA workers, 44 (41.9%), answered that they would spread awareness regarding harmful effects of tobacco and stop it from being sold. On the other hand, 51 (44.3%) Anganwadi workers did not take any specific step which showed statistically significant difference with a P value of 0.018 among the community health care workers. The majority of ASHA workers, 35 (33.3%), said that they would counsel to avoid company of other tobacco users, if an individual is ready to quit tobacco, whereas Anganwadi workers, 45 (39.1%), say that ideal is to remove tobacco products from the environment (P = 0.001) [Table 5].
Table 5

Practices and its association among community healthcare workers

QuestionResponseASHA workersAnganwadi workers P
Have you received formal training in tobacco cessation counseling?Yes87 (82.9%)48 (41.7%)≤0.001*
No18 (17.1%)67 (58.3%)
Did you take any steps to stop tobacco products from being sold?Regulating direct advertisements by vendors18 (17.1%)13 (11.3%)0.018*
Ensuring it is not sold to people under 18 years of age15 (14.3%)20 (17.4%)
Spreading awareness regarding harmful effects44 (41.9%)31 (27.0%)
Have not done anything specific28 (26.7%)51 (44.3%)
If an individual is ready to quit tobacco, how do you proceed further?Refer for tobacco cessation counseling to a specialist26 (24.8%)12 (10.4%)0.001*
Advice meditation and other exercises21 (20.0%)21 (18.3%)
Avoid company of other tobacco users35 (33.3%)34 (29.6%)
Remove tobacco products from environment18 (17.1%)45 (39.1%)
Recommend the use of approved medication if needed5 (4.8%)3 (2.6%)

*Indicates Chi-Square test

Practices and its association among community healthcare workers *Indicates Chi-Square test

Relationship between variables using Spearman’s rank correlation coefficient test

A positive linear correlation (r = +0.561) and a high statistically significant difference (P < 0.005) between the knowledge and attitude scores among the community health workers was found by the Spearman’s rank correlation coefficient test. There has been positive correlation between age of initiation of tobacco use amongst people in India and way of quitting the tobacco with statistically significant value (r = 0.028) using Spearman’s rank correlation coefficient test. The field-wise correlation data are presented in [Table 6].
Table 6

Spearman’s correlations between knowledge and attitude of community healthcare workers

ParametersSpearman’s rhoKnowledge scoreAttitude score
Knowledge scoreCorrelation Coefficient1.0000.561
Sig. (2-tailed).≤0.001*
n 220220
Attitude scoreCorrelation Coefficient0.5611.000
Sig. (2-tailed)≤0.001*.
n 220220

Parameters Spearman’s rho Most common age of initiation of tobacco use Way of quitting tobacco

Most common age of initiation of tobacco useCorrelation Coefficient1.0000.149
Sig. (2-tailed).0.028*
n 220220
Way of quitting tobaccoCorrelation Coefficient0.1491.000
Sig. (2-tailed)0.028*.
n 220220

*Correlation is significant at the 0.05 level (2-tailed)

Spearman’s correlations between knowledge and attitude of community healthcare workers *Correlation is significant at the 0.05 level (2-tailed)

Association between demographic variables and knowledge/attitude scores using regression analysis

Simple linear regression analysis depicted a significant relationship between knowledge with education qualification (P ≤ 0.001, R = 0.280), years of experience (P ≤ 0.001, R = 0.366), and with age (P ≤ 0.001, R = 0.233). Also, attitude with education qualification (P ≤ 0.001, R = 0.130), age (P ≤ 0.001, R = 0.117), and years of experience (P ≤ 0.001, R = 0.139) showed a significant relationship by simple linear regression analysis. Multiple linear regression analysis revealed that the better knowledge scores were significantly associated with education qualification (P ≤ 0.001) and years of experience (P ≤ 0.001) but not with age (0.295) with dependence value of Adjusted R Square = 0.499, whereas better attitude scores were significantly associated with education qualification (P ≤ 0.001) and years of experience (P = 0.021) but not with age (P = 0.130) with dependence value of Adjusted R Square = 0.207 [Table 7].
Table 7

Multivariate linear regression analysis for the association between demographic variables and knowledge/ attitude scores of community health workers

PredictorCoefficientStandard error t P Adjusted R2
Knowledge
 Constant0.6425.668≤0.001*0.499
 Age−.0720.207−1.0500.295
 Education qualification0.3830.1737.645≤0.001*
 Years of service−.4430.137−6.417≤0.001*
Attitude
 Constant0.40312.160≤0.001*0.207
 Age−.1310.130−1.5210.130
 Education qualification0.2700.1094.285≤0.001*
 Years of service−.2020.086−2.3280.021

*Statistically significant P≤0.05

Multivariate linear regression analysis for the association between demographic variables and knowledge/ attitude scores of community health workers *Statistically significant P≤0.05

Discussion

Tobacco use in India is projected to have devastating consequences. Increased taxes on all tobacco products, smuggling control, the closing of all promotional routes, and the construction of an infrastructure for law enforcement are all important measures implemented to manage tobacco control through demand reduction.[1] However, this is insufficient to curb tobacco use, more emphasis on prevention, and early management of health problems should be given which will reduce the need for complicated curative care. A proper collaboration of public and private sectors can promote health equity by improving social interrelation, diminish discrimination, and permitting communities to improve health conditions.[2] This study has been done to assess the knowledge, attitude, practice of ASHAs, and Anganwadi workers toward tobacco control, as they play a key role in imparting health education to prevent oral diseases and mobilizing community toward utilizing the health services.[13] There is a growing recognition of the prevalent toll of tobacco use among vulnerable group of population especially among adolescents. In this study, 62.9% of ASHA and 37.4% Anganwadi workers believed that most common age of consumption of tobacco use amongst people in India is 13 to 19 years which is similar to results reported by Chadda et al.[2] stating that adolescents are the most vulnerable group prone to tobacco consumption. This finding reiterates the need to design age-specific tobacco control programmes. Community health worker do home visits for health promotional activities and thus are in ideal position to educate families about ill health effects of tobacco.[3] This study illustrated 65.7% ASHA and 56.5% Anganwadi workers thinking that adverse health effects concerning tobacco is mainly cancer which is supported by a study conducted by Persai et al.[4] suggesting that ASHA’s relate tobacco mainly to respiratory diseases and lung cancer. However, the matter of concern is the relatively poor recognition of the effects of tobacco adversely on oral health and reproductive health which can lead to life threatening cancer. There is a lack of comprehensive training and motivation to integrate tobacco control practices into their routines.[5] The findings from this study stated that 94 (89.5%) ASHA workers and 86 (74.8%) Anganwadi workers agreed that tobacco counseling as part of their professional job as they represent the first point-of-care for the majority of tobacco users in the community. However, in contrast, Sonmez et al.[6] concluded that lack of time and low patient priority as barriers for primary care physicians in tobacco intervention and thus not able to practice tobacco cessation counseling. Strategies should be established by which PCPs could improve tobacco control. In this study, 44 (41.9%) ASHA workers and 31 (27.0%) Anganwadi workers stated that they have taken action by raising awareness about the harmful effects of tobacco and its impact on the general public, which is in line with Nebhinani et al.[7] narrative review, which concluded that community connectedness, acceptance by the local community, and knowledge of community health practices enable these professionals to play a role in noncommunicable disease mitigation. In the explicit findings from this study, majority of ASHA and Anganwadi workers were aware of forms of Nicotine Replacement Therapy (NRT) and they also believed that this drug was not to be prescribed over the counter to avoid overdosage. Most common forms of NRT prescribed are patches 28 (26.22%) and gums 35 (32.2%) according to community health care workers. However, contrasting findings in study by Alsaidi et al.[8] concluded PCPs in Muscat displayed poor knowledge with regard to tobacco dependence treatment services. The PCPs highlighted time constraints as a barrier for establishing cessation programmes as part of the package of treatment in primary health centers. In this study, 71.4% ASHA and 56.5% Anganwadi workers rightly recognized nicotine was addictive substance in tobacco. In addition, 82.9% ASHA and 79.1% Anganwadi workers showed significant deficit in their knowledge about electronic cigarettes and forms of nicotine replacement therapies. A study by Moysidou et al.[9] found similar results, suggesting that health care practitioners had a substantial lack of awareness of nicotine, NRT, and electronic cigarettes. As a result, it is critical that individuals obtain accurate and reliable information about the use of nicotine replacement therapies, as these play a key role in lowering their health risks. In the explicit findings from our study, majority of ASHAs (89.5%) and Anganwadi (74.8%) workers had positive attitude of considering tobacco counseling part of their professional job which is supported by a study conducted by Shwetha et al.[10] on ASHA’s attitude toward raising awareness on oral cancer, which concluded that the overall attitude was favorable (82.4%) as they believed disease prevention as their responsibility (53.9%). More than half of the ASHA’s (55.5%) expressed satisfaction sharing information about oral cancer and its repercussions among people, might be because of personal experiences (43.9%).[11] Community health workers play an essential role in providing counseling services to the community. Majority of community health workers reported that patients hold negative attitudes toward counseling.[12] This view of them suggests that community health workers are unaware of the effectiveness of behavioral counseling in influencing tobacco cessation.[13] Community health workers relay indispensable role by facilitating access to health services, providing information, spreading awareness, and mobilizing communities to realize health rights with a key support system of village health committee, holding meetings, and mass approach using mass media.[1415] In summary, our study recognizes a chance to significantly expand the reach of tobacco control services to urban low- and middle-income populations in India by deploying community health care workers. Hence, dissemination of education, adoption of preventive services guidelines, and tobacco cessation services in primary health care centers may provide an urgently needed fill-in to tobacco control efforts in India.[1617] Community health workers understand the needs of community and can be trained to identify premalignant lesions and deploy patients relatively quickly to the concern health care centers.[181920] As part of their training, routine monitoring, and supervision, special inputs in enhancing social justice by reducing health inequities at the community level should be stressed.[2122] In addition, abilities in assisting with community collectivization for public health measures where individual action may not bear fruit are needed to be strengthened.[2324]

Conclusion

It is a well-known truth that most dental disorders may be avoided if people are informed of preventative measures and encouraged to follow them. It is precisely the role that community health workers can play as health educators and mobilizers. Overall knowledge and attitude toward tobacco control of ASHA workers had been superior to Anganwadi workers. Also, majority of ASHA workers received training in tobacco cessation counseling as compared with Anganwadi workers. However, knowledge about tobacco and its consequences is below optimal level among community health workers. Hence, there is a sustainable need that community health workers should be well-versed in the areas of dental health and disease as part of their training in order to lessen the burden on primary care physicians.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent forms. In the form the patient(s) has/have given his/her/their consent for his/her/their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Key Messages

Tobacco cessation activities will have to be initiated and implemented by all stakeholders of the health care delivery systems specially grassroot level workers who work in close proximity to community

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
(B) Based on attitude of respondents

QuestionResponseASHA workersAnganwadi workers P
Do you think that celebrities have an influence on individual’s mindset who try to impersonate them?Yes85 (81.0%)69 (60.0%)0.002*
No20 (19.0%)46 (40.0%)
Do you believe that statutory warnings on cigarette packets should be made conspicuous?Yes95 (90.5%)104 (90.4%)0.974*
No10 (9.6%)11 (9.5%)
Do you consider tobacco cessation counseling part of your professional job?Yes94 (89.5%)86 (74.8%)0.005*
No11 (10.5%)29 (25.2%)
Do you think government should impose ban on advertisements as well as sale of tobacco products?Yes92 (87.6%)113 (98.3%)0.011*
No13 (12.4%)2 (1.7%)
What do you think is the most reliable and effective source for providing information and spreading awareness?Individual approach by way of one-to-one interaction23 (21.9%)29 (25.2%)0.152*
Group approach by way of lectures, social dramas23 (21.9%)28 (24.3%)
Mass approach with the help of mass media48 (45.7%)37 (32.2%)
Don’t know11 (10.5%)21 (18.3%)
Have you heard of E-Cigarettes?Yes18 (17.1%)24 (20.9%)0.482*
No87 (82.9%)91 (79.1%)
Do you think there is a need for spreading awareness regarding NRT?Yes104 (99.0%)99 (86.1%)≤0.001*
No1 (1.0%)16 (13.9%)

*Indicates Chi-Square test

  23 in total

1.  Global Tobacco Surveillance System (GTSS): purpose, production, and potential.

Authors: 
Journal:  J Sch Health       Date:  2005-01       Impact factor: 2.118

2.  Evaluation of knowledge and efficiency of Anganwadi workers.

Authors:  R H Udani; S Chothani; S Arora; C S Kulkarni
Journal:  Indian J Pediatr       Date:  1980 Jul-Aug       Impact factor: 1.967

3.  Evaluation of trained Accredited Social Health Activist (ASHA) workers regarding their knowledge, attitude and practices about child health.

Authors:  Saurabh R Shrivastava; Prateek S Shrivastava
Journal:  Rural Remote Health       Date:  2012-12-03       Impact factor: 1.759

Review 4.  Tobacco control in India.

Authors:  Preetha Elizabeth Chaly
Journal:  Indian J Dent Res       Date:  2007 Jan-Mar

5.  Effectiveness of trained health workers in improving the oral hygiene of preschool children.

Authors:  Dharmashree Satyarup; Radha Prasanna Dalai; Ramesh Nagarajappa; Debasruti Naik; Ipsita Mohanty
Journal:  Rocz Panstw Zakl Hig       Date:  2021

6.  Tobacco use, attitudes and cessation practices among healthcare workers of a city health department in Southern India.

Authors:  Prem K Mony; N S Vishwanath; Suneeta Krishnan
Journal:  J Family Med Prim Care       Date:  2015 Apr-Jun

7.  Counselling as a Tool for Tobacco Cessation in a Dental Institution: Insights from India.

Authors:  Gururaghavendran Rajesh; Audrey S Pinto; Almas Binnal; Dilip Naik; Ashwini Rao
Journal:  Asian Pac J Cancer Prev       Date:  2019-08-01

8.  Knowledge, Attitudes and Practices of Primary Care Physicians Regarding Tobacco Dependence Treatment in Muscat Governorate, Oman: A cross-sectional study.

Authors:  Yaqoub Alsaidi; Buthaina AlMaskari; Moon Fai Chan; Sanaa Al Sumri; Hajer Alhamrashdi
Journal:  Sultan Qaboos Univ Med J       Date:  2021-11-25

Review 9.  Leveraging role of non-physician health workers in prevention and control of non-communicable diseases in India: Enablers and challenges.

Authors:  Mamta Nebhinani; Sushma K Saini
Journal:  J Family Med Prim Care       Date:  2021-02-27

10.  Knowledge and Perceptions about Nicotine, Nicotine Replacement Therapies and Electronic Cigarettes among Healthcare Professionals in Greece.

Authors:  Anastasia Moysidou; Konstantinos E Farsalinos; Vassilis Voudris; Kyriakoula Merakou; Kallirrhoe Kourea; Anastasia Barbouni
Journal:  Int J Environ Res Public Health       Date:  2016-05-20       Impact factor: 3.390

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