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.
BackgroundDespite compelling evidence that physicians play a prominent role in smoking cessation, most smokers do not receive the recommended smoking cessation counseling.AimTo identify perceived barriers that hinder primary healthcare physicians (PHPs) from providing smoking cessation treatment to patients in Armenia.MethodsA sequential exploratory mixed-methods study was conducted among PHPs from two Armenian cities (Yerevan and Gyumri). We implemented qualitative phase through focus group discussions (FGDs) using a semi-structured guide. For the subsequent quantitative phase, the data were collected through cross-sectional survey. A directed deductive content analysis technique was used to analyze the FGDs and questionnaires were analyzed descriptively. Following the data collection (March 2015–May 2016) and descriptive analysis, the qualitative and quantitative data sets were merged by drawing quantitative data onto qualitative categories.FindingsOverall, 23 PHPs participated in five FGDs and 108 participants completed the survey. Three main categories of barriers were identified: physician-based, patient-based, and system-based barriers. The main physicians-based barriers were insufficient knowledge and inadequate training on tobacco-dependence treatment. Lack of patients’ motivation to quit, poor compliance with the treatment, patients’ withdrawal symptoms were identified as patient-based disincentives. System-based barriers included lack of reimbursement for providing smoking cessation counseling, high price and low availability of smoking cessation medications. Most of the qualitative descriptions were confirmed by quantitative findings.ConclusionsTargeted interventions are needed to address barriers that limited PHPs’ involvement in providing smoking cessation services in Armenia. There is an urgent need to enhance PHPs’ knowledge and skills in delivering smoking cessation counseling, to increase patients’ demand for smoking cessation services, and to ensure availability and affordability of smoking cessation services in Armenia.
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.
Background Few studies have examined public opinion about the health care system in the former Soviet region. The objective of our study was to evaluate the population’s satisfaction with the health care system and identify factors associated with it in Armenia. Methods We conducted a cross-sectional telephone survey among 576 adult residents of the capital Yerevan using Random Digit Dialing technique. Simple and multivariate logistic regression explored associations between potential determinants and satisfaction. Results A substantial proportion of respondents (45.5%) were dissatisfied or very dissatisfied with the health system. About 49% of respondents negatively evaluated the ability of the system to provide equal access to care. About 69% of respondents thought that the responsibility for an individual’s health should be equally shared between the individual and the government or that the government’s share should be larger. The adjusted odds of satisfaction were higher among individuals with better health status, those who positively rated equal access and respect to patients in the system, those thinking that the responsibility for health should be equally shared between the individual and the government, and those who tended to trust the government. Conclusions This study enriched our understanding of factors that shape the population’s satisfaction with the health care system in different cultural and political environments. We recommend further exploration of public opinion about those system attributes that are not directly linked to patient experiences with care, but might be equally important for explaining the phenomenon of satisfaction.
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