Lung cancer screening beliefs in Armenia.

Introduction: In Armenia, an upper-middle income country, 93% of deaths are from non-communicable diseases and over half of the male population smokes. Armenia has more than double the global lung cancer incidence. Over 80% of lung cancer is diagnosed at stages III or IV. However, there is a significant mortality benefit in detecting early-stage lung cancer via screening with low-dose computed tomography. Methods: This study employed a rigorously-translated, previously-validated survey based on the Expanded Health Belief Model to understand how Armenian male smokers' beliefs would affect lung cancer screening participation. Results: Survey responses highlighted key health beliefs that would mediate screening participation. Most respondents felt they were at risk for lung cancer, but over 50% also believed their cancer risk was equivalent to (or less than) non-smokers' risk. Respondents also overwhelmingly agreed a scan could help detect cancer earlier, but fewer agreed early detection could reduce cancer mortality. Important barriers included absence of symptoms and costs of screening and treatment. Discussion: Overall, the potential to reduce lung cancer-related deaths in Armenia is high, but there are a number of central health beliefs and barriers that would limit screening uptake and effectiveness. Improved health education, careful consideration of socioeconomic screening barriers, and appropriate screening recommendations may be useful in overcoming these beliefs.

Health Informatics Training Program in Low and Middle Income Countries.

We developed the first health informatics training program in Armenia and in the Caucasus region. The training program consists of four educational pillars, including a bootcamp, an individualized training program, a capstone, and a scholarly project. We conducted surveys and qualitative interviews to evaluate the training program. With trending positive results we acknowledge that it is important to understand the landscape of health informatics and conduct needs assessment prior to establishing such a training program in an LMIC.

International Collaboration to Develop a Remote Monitoring Web App for COVID-19 Patients in Armenia: Design and Development With Agile Methodology.

BACKGROUND: COVID-19 has led to over 500 million cases and 6.2 million deaths around the world. Low- and middle-income countries (LMICs) like Armenia face unique infrastructure, financial, and capacity challenges that in many cases result in worse outcomes. Health care facilities across Armenia experienced a shortage of resources, including hospital beds and oxygen, which was further exacerbated by the war with neighboring Azerbaijan. Without a framework for home-based care, health care facilities were severely strained by COVID-19 patients who had prolonged oxygen requirements but were otherwise clinically stable. OBJECTIVE: This paper describes our approach to establishing an international collaboration to develop a web app to support home monitoring of patients with COVID-19 with persistent oxygen requirements. METHODS: The app was developed using a rapid, coordinated, and collaborative approach involving an international group of clinicians, developers, and collaborators. Health screening, monitoring, and discharge forms were developed into a lightweight OpenMRS web app and customized for the local Armenian context. RESULTS: The software was designed and developed over 2 months using human-centered design and agile sprints. Once live, 5087 patient records were created for 439 unique patients. CONCLUSIONS: This project suggests a promising framework for designing and implementing remote monitoring programs in LMICs, despite pandemic and geopolitical challenges.

Using a Facebook Virtual Examination Room to Enhance ROP Training in Armenia.

Purpose: Retinopathy of prematurity (ROP) is a leading cause of worldwide childhood blindness with increasing incidence in low and middle income countries (LMICs) due to advances in neonatal care. There are insufficient numbers of healthcare professionals specialized in ROP management and few local training opportunities in LMICs. Social media platforms provide a promising solution to enable interactive medical education across geographic and logistic barriers. As an adjunct to an ROP training program for ophthalmologists in Armenia, we implemented a Facebook Virtual Examination Room (VER) for case discussion with a global community of collaborators and preceptors. To evaluate training through VER, we operationalized engagement as a multilayer meta-construct that includes cognitive, behavioral, and social-emotional domains. Methods: A concurrent mixed methods approach was taken to collect and analyze data from comments and activities within VER. Quantitative data was analyzed for descriptive statistics on group utilization, participant activity, and clinical metrics. Qualitative data was analyzed by conducting thematic analysis involving initial and pattern coding. Results: Ten participants (7 trainees and 3 preceptors) interacted in the Facebook group across 153 unique cases, with 218 threads, 414 comments, and 216 likes. Of the 120 unique cases eligible for consensus evaluation, treatment was mentioned most frequently (87), followed by location (68), staging (65), and plus disease (31), with agreement ranging from 67% to 97%. Based on the qualitative analysis, the most common themes of discussion were clinical management, dilemma resolution, knowledge growth, and gratitude. Conclusion: A closed Facebook group for case-based discussions can be a useful adjunct to an existing ROP training program by engaging learners across social-emotional, behavioral, and cognitive domains. For international training partnerships, the financial and logistical advantages can be significant, though focus should remain on the primary curriculum and training modality.

Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework.

BACKGROUND: Health care databases contain a wealth of information that can be used to develop programs and mature health care systems. There is concern that the sensitive nature of health data (eg, ethnicity, reproductive health, sexually transmitted infections, and lifestyle information) can have significant impact on individuals if misused, particularly among vulnerable and marginalized populations. As academic institutions, nongovernmental organizations, and international agencies begin to collaborate with low- and middle-income countries to develop and deploy health information technology (HIT), it is important to understand the technical and practical security implications of these initiatives. OBJECTIVE: Our aim is to develop a conceptual framework for risk stratification of global health data partnerships and HIT projects. In addition to identifying key conceptual domains, we map each domain to a variety of publicly available indices that could be used to inform a quantitative model. METHODS: We conducted an overview of the literature to identify relevant publications, position statements, white papers, and reports. The research team reviewed all sources and used the framework method and conceptual framework analysis to name and categorize key concepts, integrate them into domains, and synthesize them into an overarching conceptual framework. Once key domains were identified, public international data sources were searched for relevant structured indices to generate quantitative counterparts. RESULTS: We identified 5 key domains to inform our conceptual framework: State of HIT, Economics of Health Care, Demographics and Equity, Societal Freedom and Safety, and Partnership and Trust. Each of these domains was mapped to a number of structured indices. CONCLUSIONS: There is a complex relationship among the legal, economic, and social domains of health care, which affects the state of HIT in low- and middle-income countries and associated data security risks. The strength of partnership and trust among collaborating organizations is an important moderating factor. Additional work is needed to formalize the assessment of partnership and trust and to develop a quantitative model of the conceptual framework that can help support organizational decision-making.