ABSTRACT
Community coalitions depend on their members to synergistically pool diverse resources, including knowledge and expertise, community connections and varied perspectives, to identify and implement strategies and make progress toward community health improvement. Several coalition theories suggest synergy is the key mechanism driving coalition effectiveness. The Community Coalition Action Theory (CCAT) asserts that synergy depends on how well coalitions engage their members and leverage their resources, which is influenced by coalition processes, member participation and satisfaction and benefits outweighing costs. The current study used mixed methods, including coalition member surveys (nâ =â 83) and semi-structured interviews with leaders and members (nâ =â 42), to examine the process of creating collaborative synergy in 14 community coalitions for smoke-free environments in Armenia and Georgia. Members, typically seven per coalition representing education, public health, health care and municipal administration sectors, spent an average of 16 hr/month on coalition-related work. Common benefits included making the community a better place to live and learning more about tobacco control. The greatest cost was attending meetings or events at inconvenient times. Members contributed various resources, including their connections and influence, skills and expertise and access to population groups and settings. Strong coalition processes, greater benefits and fewer costs of participation and satisfaction were correlated with leveraging of member resources, which in turn, was highly correlated with collaborative synergy. Consistent with CCAT, effective coalition processes created a positive climate where membership benefits outweighed costs, and members contributed their resources in a way that created collaborative synergy.
Subject(s)
Cooperative Behavior , Armenia , Humans , Georgia , Smoke-Free Policy , Community Participation/methods , Health Promotion/methods , Female , Interviews as Topic , Male , Community Networks , Tobacco Smoke Pollution/prevention & control , Surveys and QuestionnairesABSTRACT
CONTEXT: Despite high smoking rates, Armenia and Georgia recently adopted smoke-free policies (2022 and 2018). OBJECTIVE: We examined associations between exposure to pro-tobacco media (news opposing smoke-free policies; cigarette, e-cigarette, heated tobacco product [HTP] advertisements) and anti-tobacco media (media, community-based action) and (1) knowledge that the policies applied to alternative tobacco products (ATPs), and (2) support for the policies applying to ATPs and various settings. DESIGN: We analyzed 2022 survey data. SETTING: Data were from 28 communities in Armenia and Georgia. PARTICIPANTS: The sample comprised 1468 adults (31.6% past-month smokers). METHODS: We conducted multivariable regressions, controlling for country and sociodemographics. RESULTS: Participants were knowledgeable that the policy applied to ATPs (79.2%) and supportive of them applying to ATPs and various settings (means = 3.43 and 3.00; 1-4 = strongly support). Greater exposure to anti-tobacco media/community-based action correlated with more likely knowing that the policies applied to ATPs and greater support of the policies applying to various settings; HTP advertisement exposure correlated with less support of the policies applying to various settings. Less exposure to news opposing smoke-free policies and greater exposure to media supporting such policies correlated with greater support of the policies applying to ATPs. CONCLUSIONS: Media and community-based action may promote smoke-free policy knowledge and support. HTP advertisements may uniquely undermine smoke-free policies.
ABSTRACT
Local coalitions can advance public health initiative but have not been widely used or well-studied in low- and middle-income countries. This paper provides (i) an overview of an ongoing matched-pairs community-randomized controlled trial in 28 communities in Armenia and Georgia (N = 14/country) testing local coalitions to promote smoke-free policies/enforcement and (ii) characteristics of the communities involved. In July-August 2018, key informants (e.g. local public health center directors) were surveyed to compare their non-communicable disease (NCD) and tobacco-related activities across countries and across condition (intervention/control). More than half of the informants (50.0-57.1%) reported their communities had programs addressing hypertension, diabetes, cancer and human papilloma virus, with 85.7% involving community education and 32.1% patient education programs. Eleven communities (39.3%) addressed tobacco control, all of which were in Georgia. Of those, all included public/community education and the majority (72.7-81.8%) provided cessation counseling/classes, school/youth prevention programs, healthcare provider training or activities addressing smoke-free environments. Informants in Georgia versus Armenia perceived greater support for tobacco control from various sectors (e.g. government, community). No differences were found by condition assignment. This paper provides a foundation for presenting subsequent analyses of this ongoing trial. These analyses indicate wide variability regarding NCD-related activities and support across communities and countries.
Subject(s)
Community Participation , Health Promotion/organization & administration , School Health Services/organization & administration , Smoke-Free Policy , Adolescent , Armenia , Counseling , Georgia (Republic) , Humans , Longitudinal Studies , Noncommunicable Diseases/prevention & control , Smoking Cessation/methods , Socioeconomic FactorsABSTRACT
INTRODUCTION: The success of health education programs heavily depends on the individuals' ability to comprehend information and apply it when making decisions regarding health. Low health literacy can lead to poor health in the context of both chronic and infectious diseases, as it influences a range of health-related behaviors. Little is known about infectious disease-related health literacy in Armenia and countries of similar socio-economic profiles. We aimed to quantify the levels of infectious disease-related health literacy and knowledge among the Armenian population and explore the underlying socio-economic factors. MATERIALS AND METHODS: We conducted a nationwide phone survey among 3483 adults selected via stratified two-stage probability proportional to size sampling in 2021. Descriptive statistics, simple and multivariable regression were used for the analysis. RESULTS: The average age of respondents was 49.5 years. The majority were female (71.0%) and had at least 12 years of schooling (70.5%). The mean literacy score was 5.64 out of 7 (SD:1.06). The mean infectious disease knowledge score was 2.48 out of 4 (SD:1.19). Younger age, female gender, higher level of education, city residence, being employed, and having higher monthly expenditures were associated with higher mean scores of infectious disease-related health literacy and knowledge. In multivariable linear regression analysis, all the socio-demographic characteristics remained significant for both dependent variables. CONCLUSIONS: The study results revealed population groups with a higher infectious disease-related health literacy and knowledge. Interventions should focus on groups lagging behind to engage them in proper prevention practices to protect themselves and improve health status of Armenian population.
Subject(s)
Health Knowledge, Attitudes, Practice , Health Literacy , Humans , Female , Armenia/epidemiology , Male , Middle Aged , Adult , Communicable Diseases/epidemiology , Aged , Socioeconomic Factors , Surveys and Questionnaires , Young Adult , AdolescentABSTRACT
BACKGROUND: The COVID-19 pandemic has imposed immense stress on global health care systems, especially in low- and middle-income countries (LMICs). Armenia, a middle-income country in the Caucasus region, contended with the pandemic and a concurrent war, resulting in significant demand on its already strained health care infrastructure. The COVID@home program was a multi-institution, international collaboration to address critical hospital bed shortages by implementing a home-based oxygen therapy and remote monitoring program. OBJECTIVE: The objective of this study was to describe the program protocol and clinical outcomes of implementing an early discharge program in Armenia through a collaboration of partner institutions, which can inform the future implementation of COVID-19 remote home monitoring programs, particularly in LMICs or low-resource settings. METHODS: Seven hospitals in Yerevan participated in the COVID@home program. A web app based on OpenMRS was developed to facilitate data capture and care coordination. Patients meeting eligibility criteria were enrolled during hospitalization and monitored daily while on oxygen at home. Program evaluation relied on data extraction from (1) eligibility and enrollment forms, (2) daily monitoring forms, and (3) discharge forms. RESULTS: Over 11 months, 439 patients were screened, and 221 patients were managed and discharged. Around 94% (n=208) of participants safely discontinued oxygen therapy at home, with a median home monitoring duration of 26 (IQR 15-45 days; mean 32.33, SD 25.29) days. Women (median 28.5, mean 35.25 days) had similar length of stay to men (median 26, mean 32.21 days; P=.75). Despite challenges in data collection and entry, the program demonstrated feasibility and safety, with a mortality rate below 1% and low re-admission rate. Opportunities for operational and data quality improvements were identified. CONCLUSIONS: This study contributes practical evidence on the implementation and outcomes of a remote monitoring program in Armenia, offering insights into managing patients with COVID-19 in resource-constrained settings. The COVID@home program's success provides a model for remote patient care, potentially alleviating strain on health care resources in LMICs. Policymakers can draw from these findings to inform the development of adaptable health care solutions during public health crises, emphasizing the need for innovative approaches in resource-limited environments.
Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , COVID-19/therapy , Armenia/epidemiology , Male , Female , Middle Aged , Aged , Adult , Telemedicine , Monitoring, Physiologic/methodsABSTRACT
INTRODUCTION: E-cigarette and heated tobacco product (HTP) marketing often leverages digital media and points-of-sale (POS) and advertises risk reduction, including in Armenia and Georgia where male cigarette use rates are high. METHODS: Using 2022 survey data from Armenian and Georgian adults (n=1468, mean age=42.92 years, 51.4% female; and past-month use of e-cigarettes 3.2%, HTPs 2.7%, and cigarettes 31.6%), multivariable linear regression examined 4 outcomes - e-cigarette and HTP use intentions and perceived risk (1=not at all, to 7=extremely) - in relation to past-month e-cigarette or HTP advertisement exposure via digital media, traditional media, and POS, controlling for covariates (country, age, gender, education level, relationship status, children, past-month cigarette and e-cigarette/HTP use). RESULTS: E-cigarette and HTP use intentions were low (mean score=1.47, SD=1.39 each), while perceived risk was high (mean score=5.83, SD=1.6, and mean score=5.87, SD=1.56, respectively). Past-month exposure to e-cigarette and HTP advertisements, respectively, were 12.9% and 11.2% via digital media, 6.1% and 4.8% traditional media, and 22.5% and 21.1% POS. For e-cigarettes, ad exposure via digital media was associated with greater use intentions (ß=0.24; 95% CI: 0.03-0.44), ad exposure via traditional media (ß= -0.32; 95% CI: -0.55 - -0.09) and POS (ß= -0.30; 95% CI: -0.60 - -0.004) was associated with lower risk perceptions. For HTPs, ad exposure via digital media (ß=0.35; 95% CI: 0.14-0.56) and POS (ß=0.21; 95% CI: 0.04-3.63) was associated with greater use intentions, and ad exposure at POS was associated with lower risk perceptions (ß= -0.23; 95% CI: -0.42 - -0.03). CONCLUSIONS: Tobacco control efforts should monitor and regulate e-cigarette and HTP marketing, particularly via digital media which may effectively promote use, and via POS which may target and influence risk perceptions.
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INTRODUCTION: Understanding who includes e-cigarettes and heated tobacco products (HTPs) in smoke-free home or car rules could inform public health interventions, particularly in countries with high smoking prevalence and recently implemented national smoke-free laws, like Armenia and Georgia. METHODS: In 2022, we conducted a cross-sectional survey among 1468 adults in 28 Armenian and Georgian communities (mean age=42.92 years; 51.4% female, 31.6% past-month smoking). Multilevel regression (accounting for clustering within communities; adjusted for sociodemographics and cigarette use) examined e-cigarette/HTP perceptions (risk, social acceptability) and use intentions in relation to: 1) including e-cigarettes/HTPs in home and car rules among participants with home and car rules, respectively (logistic regressions); and 2) intention to include e-cigarettes/HTPs in home rules (linear regression, 1 = 'not at all' to 7 = 'extremely') among those without home rules. RESULTS: Overall, 72.9% (n=1070) had home rules, 86.5% of whom included e-cigarettes/HTPs; 33.9% (n=498) had car rules, 81.3% of whom included e-cigarettes/HTPs. Greater perceived e-cigarette/HTP risk was associated with including e-cigarettes/HTPs in home rules (AOR=1.28; 95% CI: 1.08-1.50) and car rules (AOR=1.46; 95% CI: 1.14-1.87) and next-year intentions to include e-cigarettes/HTPs in home rules (ß=0.38; 95% CI: 0.25-0.50). Lower e-cigarette/HTP use intentions were associated with including e-cigarettes/HTPs in home rules (AOR=0.75; 95% CI: 0.63-0.88). While perceived social acceptability was unassociated with the outcomes, other social influences were: having children and no other household smokers was associated with including e-cigarettes/HTPs in car rules, and having children was associated with intent to include e-cigarettes/HTPs in home rules. CONCLUSIONS: Interventions to address gaps in home and car rules might target e-cigarette/HTP risk perceptions.
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INTRODUCTION: Local coalitions can advance public health initiatives such as smoke-free air but have not been widely used or well-studied in low-income and middle-income countries. METHODS: We conducted a matched-pairs community-randomised controlled trial in 28 communities in Armenia and Georgia (N=14/country) in which we helped establish local coalitions in 2019 and provided training and technical assistance for coalition activity promoting smoke-free policy development and enforcement (2019-2021). Surveys of ~1450 households (Fall 2018, May-June 2022) were conducted to evaluate coalition impact on smoke-free policy support, smoke-free home adoption, secondhand smoke exposure (SHSe), and coalition awareness and activity exposure, using multivariable mixed modelling. RESULTS: Bivariate analyses indicated that, at follow-up versus baseline, both conditions reported greater smoke-free home rates (53.6% vs 38.5%) and fewer days of SHSe on average (~11 vs ~12 days), and that intervention versus control condition communities reported greater coalition awareness (24.3% vs 12.2%) and activity exposure (71.2% vs 64.5%). Multivariable modelling indicated that intervention (vs control) communities reported greater rates of complete smoke-free homes (adjusted Odds Ratio [aOR] 1.55, 95% confiedence interval [CI] 1.11 to 2.18, p=0.011) and coalition awareness (aOR 2.89, 95% CI 1.44 to 8.05, p=0.043) at follow-up. However, there were no intervention effects on policy support, SHSe or community-based activity exposure. CONCLUSIONS: Findings must be considered alongside several sociopolitical factors during the study, including national smoke-free policies implementation (Georgia, 2018; Armenia, 2022), these countries' participation in an international tobacco legislation initiative, the COVID-19 pandemic and regional/local war). The intervention effect on smoke-free homes is critical, as smoke-free policy implementation provides opportunities to accelerate smoke-free home adoption via local coalitions. TRIAL REGISTRATION NUMBER: NCT03447912.
Subject(s)
Tobacco Smoke Pollution , Humans , Armenia , Georgia , Surveys and Questionnaires , Tobacco Smoke Pollution/prevention & controlABSTRACT
INTRODUCTION: Armenia's and Georgia's high rates of smoking and secondhand smoke and recent implementation of smoke-free laws provide a timely opportunity to examine factors that increase compliance, like social enforcement and support for governmental enforcement. METHODS: Using 2022 data from 1468 Armenian and Georgian adults (mean age=42.92 years, 48.6% male, 31.6% past-month smoking), multilevel linear regression examined tobacco-related media exposures, social exposures, and perceptions/attitudes in relation to: 1) likelihood of asking someone to extinguish cigarettes where a) prohibited and b) allowed; and 2) support of fines for smoke-free violations (1=not at all to 4=very). RESULTS: There was low average likelihood of asking someone to extinguish cigarettes where allowed (mean=1.01, SD=1.12) or prohibited (mean=1.57, SD=1.21) and 'little' agreement with fines for smoke-free violations (mean=2.13, SD=1.06). Having fewer friends who smoked, greater support for indoor smoke-free laws, and no past-month cigarette use were positively associated with all 3 outcomes. Greater exposure to media and community-based action supporting smoke-free policies, and witnessing more requests to stop smoking where prohibited, were associated with higher likelihood of asking someone to extinguish cigarettes where allowed or prohibited. Less exposure to news stories opposing smoke-free policies and cigarette ads and higher perceived harm of cigarettes were also related to higher likelihood of asking someone to stop smoking where prohibited. Higher perceived harm of cigarettes was also associated with greater agreement with fines for smoke-free violations. CONCLUSIONS: Comprehensive strategies targeting social norms, media exposure, and risk perceptions are needed to effectively facilitate strategies to enhance smoke-free law enforcement.
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INTRODUCTION: Since March 2022, Armenia introduced a comprehensive smoking ban on all types of tobacco products in indoor and outdoor areas of hospitality venues. We aimed to rapidly appraise the implementation of the ban in the dining areas of the capital Yerevan and explore any differences in compliance and enforcement patterns between indoor and outdoor areas of the venues. METHODS: We used a mixed-methods approach through quantitative air quality monitoring, qualitative observations, and in-depth interviews (IDIs). We visited one venue in each remote district of the city and more venues from the central districts that have a much higher density of dining areas. Overall, we made 24 measurements of PM2.5 particles, 24 unobtrusive observations in the 19 visited venues, and 11 IDIs with six visitors and five workers. We used Stata13 for the analysis of numerical data and completed direct deductive content analysis of the textual data. RESULTS: Active tobacco use was observed in 12 out of 24 venues (50.0%) with more cases of smoking in outdoor areas (10 out of 12; 83.3%). No warning by workers or no reports to the police were observed. We detected elevated levels of PM2.5 particles in indoor and outdoor areas. The IDIs revealed predominantly negative attitudes towards the outdoor ban and the lack of awareness of and readiness to engage in the enforcement measures. The lack of enforcement by the owners and the respective bodies was mentioned as a contributor to continued violations of the ban. The change in the dynamic and the characteristics of the visitors, cleaner air, and less unpleasant work were mentioned as important positive aftermaths of the ban. CONCLUSIONS: The Government of Armenia should enhance the monitoring and enforcement activities and organize tailored awareness-raising campaigns to inform the general public and the hospitality industry of the health and social implications of the ban.
ABSTRACT
Health behavior theories have been effectively used for studying populations' awareness, attitudes, and beliefs related to COVID-19 preventative behaviors. The aim of this study was to explore the factors associated with the intention to get vaccinated against COVID-19 in the Armenian population using the Health Belief Model (HBM) as a framework. We applied stratified two-stage random sampling to conduct a telephone survey of 3,483 adults in 2021. The multi-domain survey instrument included questions on socio-demographic characteristics, COVID-19-related knowledge, COVID-19 susceptibility, severity and self-efficacy beliefs, sources of information on COVID-19, COVID-19 vaccination practice, and its benefits and barriers. We performed bivariate and hierarchical multivariate regression analysis with the entry of variables in blocks. In total, about 12% of the sample (n = 393) was vaccinated against COVID-19. Of 2,838 unvaccinated participants, about 53% (n = 1516) had an intention to get vaccinated. The final hierarchical logistic regression model containing socio-demographic characteristics, knowledge about COVID-19, and HBM constructs explained 43% of the variance in the intention to get vaccinated against COVID-19. Participants' age, employment status, average monthly expenditures, perceived threat, benefits, perceived barriers, self-efficacy, and cues to action were significant and independent predictors of the intention to get COVID-19 vaccination. This study confirmed the utility of the HBM in highlighting drivers of an important health-protective behavior in the context of pandemics. Health policy makers, communication specialists, and healthcare providers should particularly stress the effectiveness and safety of the vaccines in their efforts to increase vaccination rates and focus on unemployed and low-income population groups.
Subject(s)
COVID-19 , Adult , Humans , Armenia , COVID-19/prevention & control , COVID-19 Vaccines , Vaccination , Communication , IntentionABSTRACT
Effective models for aligning public health and civil society at the local level have the potential to impact various global health issues, including tobacco. Georgia and Armenia Teams for Healthy Environments and Research (GATHER) is a collaboration between Armenia, Georgia and U.S. researchers involving a community randomized trial testing the impact of community coalitions to promote smoke-free policy adoption and compliance in various settings. Community Coalition Action Theory (CCAT) was used to guide and describe coalition formation, implementation and effectiveness. Mixed methods were used to evaluate 14 municipality-based coalitions in Georgia and Armenia, including semi-structured interviews (n = 42) with coalition leaders and active members, coalition member surveys at two timepoints (n = 85 and n = 83), and review of action plans and progress reports. Results indicated successful creation of 14 multi-sectoral coalitions, most commonly representing education, public health, health care, and municipal administration. Half of the coalitions created at least one smoke-free policy in specific settings (e.g., factories, parks), and all 14 promoted compliance with existing policies through no-smoking signage and stickers. The majority also conducted awareness events in school, health care, and community settings, in addition to educating the public about COVID and the dangers of tobacco use. Consistent with CCAT, coalition processes (e.g., communication) were associated with member engagement and collaborative synergy which, in turn, correlated with perceived community impact, skills gained by coalition members, and interest in sustainability. Findings suggest that community coalitions can be formed in varied sociopolitical contexts and facilitate locally-driven, multi-sectoral collaborations to promote health. Despite major contextual challenges (e.g., national legislation, global pandemic, war), coalitions were resilient, nimble and remained active. Additionally, CCAT propositions appear to be generalizable, suggesting that coalition-building guidance may be relevant for local public health in at least some global contexts.
Subject(s)
COVID-19 , Smoke-Free Policy , Humans , Armenia , Georgia (Republic) , Health Promotion , Randomized Controlled Trials as TopicABSTRACT
OBJECTIVES: Given high prevalence of smoking and secondhand smoke exposure in Armenia and Georgia and quicker implementation of tobacco legislation in Georgia versus Armenia, we examined correlates of having no/partial versus complete smoke-free home (SFH) restrictions across countries, particularly smoking characteristics, risk perceptions, social influences and public smoking restrictions. DESIGN: Cross-sectional survey study design. SETTING: 28 communities in Armenia and Georgia surveyed in 2018. PARTICIPANTS: 1456 adults ages 18-64 in Armenia (n=705) and Georgia (n=751). MEASUREMENTS: We used binary logistic regression to examine aforementioned correlates of no/partial versus complete SFH among non-smokers and smokers in Armenia and Georgia, respectively. RESULTS: Participants were an average age of 43.35, 60.5% women and 27.3% smokers. In Armenia, among non-smokers, having no/partial SFHs correlated with being men (OR=2.63, p=0.001) and having more friend smokers (OR=1.23, p=0.002); among smokers, having no/partial SFHs correlated with being unmarried (OR=10.00, p=0.001), lower quitting importance (OR=0.82, p=0.010) and less favourable smoking attitudes among friends/family/public (OR=0.48, p=0.034). In Georgia, among non-smokers, having no/partial SFHs correlated with older age (OR=1.04, p=0.002), being men (OR=5.56, p<0.001), lower SHS risk perception (OR=0.43, p<0.001), more friend smokers (OR=1.49, p=0.002) and fewer workplace (indoor) restrictions (OR=0.51, p=0.026); among smokers, having no/partial SFHs correlated with being men (OR=50.00, p<0.001), without children (OR=5.88, p<0.001), daily smoking (OR=4.30, p=0.050), lower quitting confidence (OR=0.81, p=0.004), more friend smokers (OR=1.62, p=0.038) and fewer community restrictions (OR=0.68, p=0.026). CONCLUSIONS: Private settings continue to lack smoking restrictions in Armenia and Georgia. Findings highlight the importance of social influences and comprehensive tobacco legislation, particularly smoke-free policies, in changing household smoking restrictions and behaviours. TRIAL REGISTRATION NUMBER: NCT03447912.
Subject(s)
Smoke-Free Policy , Tobacco Smoke Pollution , Adolescent , Adult , Armenia/epidemiology , Child , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Social Perception , Nicotiana , Tobacco Smoke Pollution/analysis , Young AdultABSTRACT
INTRODUCTION: Armenia and Georgia have high rates of smoking and secondhand smoke exposure (SHSe). Greater progress in recent smoke-free legislation in Georgia and Armenia provides a pivotal time for examining the impact on smokers' and non-smokers' experiences and interactions regarding SHSe. METHODS: Surveys were conducted in 28 communities in Armenia (n=705) and Georgia (n=751) in 2018 and assessed past 30-day SHSe and smoking in different contexts, as well as attitudes toward and interactions regarding SHSe. RESULTS: In this sample (mean age 43.4 years, SD=13.5; 60.5% female; 27.3% smokers), SHSe among non-smokers was usually in homes (42.7%), cars (42.4%), and outdoor public places (38.2%); smokers also reported smoking usually in these places (70.0%, 62.1%, and 60.0%, respectively). Smokers indicated greater likelihood of putting out cigarettes and non-smokers indicated greater likelihood of asking smokers to put them out in places where smoking was prohibited versus allowed (76.5% vs 57.3%, and 46.6% vs 30.7%, respectively). Moreover, 89.9% of smokers indicated being very likely to put out cigarettes around small children if asked and 75.8% indicated trying to minimize SHSe. While 39.7% of participants reported seeing requests to smokers to put out cigarettes in the past 6 months, only 23.3% of smokers reported being asked to do so. Non-smokers in Georgia versus Armenia reported greater likelihood of engaging in behaviors to lower SHSe (p<0.001). CONCLUSIONS: Smoke-free legislation may catalyze more behaviors to lower SHSe, particularly among non-smokers; however, private settings (e.g. homes) remain prominent SHSe sources. Public health efforts must consider implications of such policies on SHSe in private settings.
ABSTRACT
BACKGROUND: Perceived harm, social influences, smoke-free policies, and media exposure have been understudied in relation to tobacco-related attitudes/behaviors in aggregate or in low and middle-income countries; thus, this study examined these factors collectively in relation to smoking-related outcomes among Armenian and Georgian adults. METHODS: Using 2018 cross-sectional survey data (n = 1456), multivariable regression analyses examined these factors in relation to smoking status, perceived harm among nonsmokers, and readiness to quit and past-year quit attempts among smokers. RESULTS: Significant predictors (p < 0.05) of current smoking (27.3%) included lower perceived harm, more smoking friends, and fewer home and vehicle restrictions. Among nonsmokers, more home and restaurant/bar restrictions, fewer vehicle restrictions, greater anti-tobacco media exposure, and less pro-tobacco media exposure predicted greater perceived harm. Among smokers, greater perceived social acceptability of smoking, less anti-tobacco media exposure, and greater pro-tobacco media exposure predicted readiness to quit (12.7% of smokers). More smoking friends, more home restrictions, less anti-tobacco media exposure, and greater pro-tobacco media exposure predicted past-year quit attempts (19.2%). CONCLUSIONS: Findings support the importance of smoke-free policies but were counterintuitive regarding the roles of social and media influences, underscoring the need to better understand how to address these influences, particularly in countries with high smoking rates.
Subject(s)
Smoke-Free Policy , Tobacco Smoke Pollution , Armenia/epidemiology , Cross-Sectional Studies , Georgia , Georgia (Republic) , Smoking , Tobacco Smoke Pollution/adverse effectsABSTRACT
OBJECTIVES: The study aimed to explore potential challenges that hamper utilization of adolescent friendly health services (AFHS) in primary healthcare (PHC) facilities in Armenia. METHODS: A qualitative study using in-depth interviews and focus group discussions was conducted with experts in adolescent health, PHC providers and facility managers from public PHC facilities and adolescents from the two largest cities in Armenia. We also collected data through observations in PHC facilities. We utilized a directed content analysis approach for data analysis. RESULTS: The study identified various factors negatively influencing utilization of AFHS in Armenia. These factors included adolescents' poor health literacy and awareness of health services, lack of PHPs' professional competencies, and breaches of confidentiality. Several facility-level barriers such as lack of privacy, inconvenient operating hours and long waiting times also contributed to insufficient service utilization by adolescents. CONCLUSIONS: The study findings shed light on different perspectives related to various challenges adolescents faced in PHC facilities in Armenia. Targeted interventions needed to improve adolescents' health literacy, to enhance the PHPs' competencies and to create a friendly and welcoming environment in PHC facilities.
Subject(s)
Adolescent Behavior/psychology , Adolescent Health Services/statistics & numerical data , Ambulatory Care Facilities/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Primary Health Care/statistics & numerical data , Adolescent , Adult , Armenia , Cross-Sectional Studies , Female , Focus Groups , Humans , Male , Qualitative Research , Young AdultABSTRACT
Garnering support for smoke-free policies is critical for their successful adoption, particularly in countries with high smoking prevalence, such as Armenia and Georgia. In 2018, we surveyed 1456 residents (ages 18-64) of 28 cities in Armenia (n = 705) and Georgia (n = 751). We examined support for cigarette and electronic nicotine delivery systems (ENDS)/heated tobacco product (HTP) smoke-free policies in various locations and persuasiveness of pro- and anti-policy messaging. Participants were an average age of 43.35, 60.5% female, and 27.3% current smokers. Nonsmokers versus smokers indicated greater policy support for cigarette and ENDS/HTP and greater persuasiveness of pro-policy messaging. Armenians versus Georgians generally perceived pro- and anti-policy messaging more persuasive. In multilevel linear regression, sociodemographics (e.g., female) and tobacco use characteristics (e.g., smoking less frequently, higher quitting importance) correlated with more policy support. Greatest policy support was for healthcare, religious, government, and workplace settings; public transport; schools; and vehicles carrying children. Least policy support was for bar/restaurant outdoor areas. The most compelling pro-policy message focused on the right to clean air; the most compelling anti-policy message focused on using nonsmoking sections. Specific settings may present challenges for advancing smoke-free policies. Messaging focusing on individual rights to clean air and health may garner support.