Journal of Public Health Policy最新文献

Armenia's early adoption of telemedicine began with the National Aeronautics and Space Administration (NASA) collaboration following the 1988 Spitak earthquake, providing critical medical support. The 2022 legalization of telemedicine by the Armenian Ministry of Health marked a significant step toward improving healthcare delivery. Current regulations only apply to doctors and lack clear terminology for different telemedicine interactions, highlighting the need for broader and more inclusive policies. Despite regulatory progress, telemedicine adoption in Armenia faces challenges such as insufficient digital literacy, infrastructure, and integration into medical education and practice.

The dramatic growth in the rate of diabetes prompts serious debates about awareness, early diagnosis, and care interventions. This Viewpoint aims to explore, from the perspectives of healthcare sector representatives, what challenges and difficulties they face in dealing with diabetes and how these can be overcome. We applied the World Café method for group discussions, which enabled us to bring together 50 stakeholders. They identified challenges at institutional and structural levels under the concepts of awareness, digitalisation, and new forms of care and shared their suggestions for feasible solutions. We learned there is a need for a diabetes map of Germany to identify risk groups and that hybrid solutions should be implemented for treatment, care, prevention, and early diagnosis, considering digital infrastructure. Also, the demand for digital innovation in the healthcare system raised concerns about information transparency and data management.

Household food insecurity is associated with both low income and high cost of living, it is a potentially better measure for consumption compared to income. We use data on food insecurity and income from 10 years of the Canadian Community Health Survey (2007-2017) of single-person households (n = 145,044) to estimate the probability of being food insecure at the Canadian poverty thresholds (Market Basket Measure thresholds, or MBMs), and determine the income required to reach that probability in each MBM region, aggregated by province and rural/urban status. A regression model shows the probability of being food insecure at the MBM is approximately 30% which we call the Food Insecurity Poverty Line (FIPL). The income required to meet the FIPL is substantially different from the MBM, sometimes 1.25 times the MBM. This implies that food insecurity is a potential sentinel measure for poverty.

Growing debates about algorithmic bias in public health surveillance lack specific examples. We tested a common assumption that exposure and illness periods coincide and demonstrated how algorithmic bias can arise due to missingness of critical information related to illness and exposure durations. We examined 9407 outbreaks recorded by the United States National Outbreak Reporting System (NORS) from January 1, 2009 through December 31, 2019 and detected algorithmic bias, a systematic over- or under-estimation of foodborne disease outbreak (FBDO) durations due to missing start and end dates. For 7037 (75%) FBDOs with complete date-time information, ~ 60% reported that the exposure period ended before the illness period started. For 2079 (87.7%) FBDOs with missing exposure dates, average illness durations were ~ 5.3 times longer (p < 0.001) than those with complete information, prompting the potential for algorithmic bias. Modern surveillance systems must be equipped with investigative capacities to examine and assess structural data missingness that can lead to bias.

This Viewpoint reviews the debate about whether the professionalization of public health practice should be approached through a certification and licensure system. It introduces the recent attempt at professionalizing public health in Taiwan with the newly enacted Public Health Specialists Act of 2020, regulating the Public Health Specialist (PHS) through a state-mandated certificate. The Viewpoint discusses the implications of this new PHS Act on Taiwan's public health education and professionalization. The PHS model in Taiwan is one of the first of its kind around the globe. Advocates of public health professionalization and public health educators could benefit from Taiwan's experience.

Physicians' hold pivotal roles in improving non-communicable diseases (NCDs). Studies conducted in India revealed that physicians' feel unprepared to address NCDs risk reduction and provide counseling. We conducted a gap analysis using desk reviews to identify inclusion of NCD risk reduction in medical curricula, and a scoping review to assess knowledge, attitude, perception, and practice related to NCD risk reduction among the undergraduate medical students in India. We also conducted key-informant interviews to understand perceptions among medical students and physicians. We found a lack of knowledge about NCDs and strong interest and perceived need for NCD risk reduction training among both medical students and their teachers. Our findings suggest promoting NCD prevention by physicians and allied health workers in clinical settings can enable the learning environment for medical students to adopt these practices.

This paper presents an investigation of the factors influencing the decision to purchase processed food based on traffic-light labeling (TLL). To achieve this, we use data from the official National Survey of Health and Nutrition, which gathered information on 26,532 individuals aged between 19 and 59 between 2011 and 2013. Employing a probit regression to assess the likelihood of buying food based on TLL, we identify a positive association between income level and the probability of buying food based on TLL; indeed, our model suggests that a 1% increase in monthly income increases by 0.008 the probability of buying food based on TLL. We infer that people with higher levels of income are more aware of the benefits of TLL and healthy food habits. Our results also suggest that the probability of basing purchasing decisions on TLL is higher for overweight people compared to those of normal weight, that is, overweight people buy their processed food paying more attention to TLL compared to normal weight people.