Immunity debt or vaccination crisis? A multi-method evidence on vaccine acceptance and media framing for emerging COVID-19 variants

Renewed COVID-19 outbreaks, stemming from the highly infectious Delta and Omicron variants, prompted rising fears of a ‘pandemic among the unvaccinated’. To address this prevalent vaccination crisis, media framing communication strategies can amplify the scientific evidence on COVID-19 vaccines to reach diverse geographic and socio-economic communities. The critical role of media framing strategies to engage and encourage large populations regarding vaccine acceptance has been rarely studied, despite growing evidence on vaccine hesitancy. The present study used a multi-method approach (i.e., content analysis and quasi-experiments) that unpacked the framing practices employed by the mainstream media in Pakistan. The findings of the content analysis revealed that the media extensively used uncertainty, conflict, consequences, and action rather than new evidence and reassurance frames in its COVID-19 related campaigns. In a series of quasi-experiments involving 720 participants, we manipulated these six frames of COVID-19 related news coverage (i.e., uncertainty, conflict, consequences, action, new evidence, and reassurance) to investigate the underlying mechanism that influences vaccine acceptance. The findings established that the message-consistent effects of media frames manifesting fear (e.g., consequence and uncertainty) and action cues made receivers more supportive of vaccination. The present study findings theoretically address the calls for a more inclusive “community-health reporting model”, besides offering new evidence on the media framing strategies to deliver more targeted, meaningful, and effective campaigns to raise public acceptance for COVID-19 vaccines.     

医疗领域人工智能应用的研究进展＊

人工智能引发了医疗领域的数字革命，在推动行业发展方面具有极大潜力。本研究围绕临床诊疗、医学研究和公共卫生三个基本场景，聚焦人工智能与传统中医药的交叉与融合，并着重介绍人工智能在疾病诊断、决策支持、医学研究以及重大公共卫生事件中的应用。虽然人工智能在诸多方面显示出独特优势，但仍存在透明度不高、缺乏安全性评估和相关法律法规监管等问题需要谨慎解决，以促进人工智能技术在医疗领域的推广。     

Evaluating a Food Pantry–Based Intervention to Improve Food Security,Dietary Intake,and Quality in Midwestern Food Pantries

BackgroundVoices for Food was a longitudinal community, food pantry–based intervention informed by the social ecological model, and designed to improve food security, dietary intake, and quality among clients, which was carried out in 24 rural food pantries across 6 Midwestern states.ObjectiveOur objective was to evaluate changes in adult food security, dietary intake, and quality from baseline (2014) to follow-up (2016), and to assess the role of adult food security on dietary outcomes.DesignA multistate, longitudinal, quasi-experimental intervention with matched treatment and comparison design was used to evaluate treatment vs comparison group changes over time and changes in both groups over time.Participants/settingAdult food pantry clients (n = 617) completed a demographic food security survey, and up to three 24-hour dietary recalls at baseline (n = 590) and follow-up (n = 160).InterventionCommunity coaching served as the experimental component, which only “treatment” communities received, and a food council guide and food pantry toolkit were provided to both “treatment” and matched “comparison” communities.Main outcome measuresChange in adult food security status, mean usual intakes of nutrients and food groups, and Healthy Eating Index-2010 scores were the main outcome measures.Statistical analyses performedLinear mixed models estimated changes in outcomes by intervention group and by adult food security status over time.ResultsImprovements in adult food security score (–0.7 ± 0.3; P = .01), Healthy Eating Index-2010 total score (4.2 ± 1.1; P < .0001), and empty calories component score (3.4 ± 0.5; P <.0001) from baseline to follow-up were observed in treatment and comparison groups, but no statistically significant changes were found for adult food security status, dietary quality, and usual intakes of nutrients and food groups between the 2 groups over time. The intervention effect on dietary quality and usual intake changes over time by adult food security status were also not observed.ConclusionsFood pantry clients in treatment and comparison groups had higher food security and dietary quality at the follow-up evaluation of the Voices for Food intervention trial compared with baseline, despite the lack of difference among the groups as a result of the experimental coaching component.     

TOPSIS法和秩和比法模糊联合在基本公共卫生服务质量综合评价中的应用研究

背景国家基本公共卫生服务项目的开展是我国新医改的重要举措，自2009年国家基本公共卫生服务项目开展后，其服务经费与服务项目不断扩增，由于涉及指标较多，覆盖面较广，探寻科学、客观、全面的基本公共卫生服务综合评价方法十分必要。目的探索适宜的基本公共卫生服务质量综合评价方法，通过质量评价为调整相关政策和提高服务质量提供依据。方法2019年2—4月，采用多阶段立意抽样方式从Z省南部、中部和北部地区共选取24家社区卫生服务中心（乡镇卫生院）作为评价对象，记为机构A~X。采用逼近理想解排序法（TOPSIS法）、秩和比法及二者模糊联合的方法对24家社区卫生服务中心（乡镇卫生院）2018年基层医疗卫生机构基本公共卫生服务质量进行综合评价（参考2018年国家基本公共卫生服务项目选取12项评价指标）。结果在TOPSIS法评价中，Ci值排名前三名的为A（0.917 4）、C（0.875 9）和G（0.787 9），Ci值排名后三名的为I（0.414 2）、W（0.413 7）和N（0.407 7）。在秩和比法评价中，RSR值排名前三名的为A（0.890 6）、G（0.765 6）和C（0.711 8），RSR值排名后三名的为V（0.381 9）、W（0.362 8）和K（0.357 6）。根据模糊集理论，将W1Ci+W2RSR值进行排序，依据"择多原则"，排名前三名的分别为A、C和G，排名后三名的分别为I、K和W，这与TOPSIS法和秩和比法的评价结果基本一致。结论TOPSIS法和秩和比法模糊联合得到的评价结果及影响因素与其他研究结果相一致，并且两者联用能克服单一使用TOPSIS法或秩和比法的局限性，适宜在基本公共卫生服务质量评价中推广应用。     

Defining the role of pharmacists in addressing the social determinants of health

As one of the overreaching goals of Healthy People 2030, addressing the social determinants of health (SDOH) to reduce health disparities is a nationwide concern, with objectives informed by interdisciplinary teams of experts. However, there remains much discussion regarding the roles of healthcare providers in addressing SDOH. While current guidance suggests that all members of the healthcare team must be empowered to address SDOH, current guidance explicitly references physicians, nurses, social workers and staff, and do not specifically include pharmacists. While pharmacists are taught about the impact of SDOH in pharmacy curricula, actionable strategies for pharmacists to address SDOH in practice have not been clearly outlined. Pharmacists have multifaceted interactions with patients and may be influential in meeting individual patient needs, identifying social risk factors, and addressing upstream causes of health disparities. This paper proposes a framework for the role of pharmacists in addressing the SDOH through strategies at the patient, practice, and community levels. The concepts presented in this paper are meant to serve as a launch point for discussion and to promote the inclusion of pharmacists in the conversations around sustainable efforts to achieve health equity. This framework is not intended to limit the scope of pharmacists in addressing SDOH – on the contrary, it is our hope that this outline may be used to expand the education of future healthcare professionals regarding their role in addressing the social determinants of health.     

Traditional Food Practices,Attitudes, and Beliefs in Urban Alaska Native Women Receiving WIC Assistance

Objective

To identify practices, attitudes, and beliefs associated with intake of traditional foods among Alaska Native women.

The influence of environmental and health indicators on premature mortality: An empirical analysis of the City of Toronto's 140 neighborhoods

The objective of this paper was to assess the link between premature mortality and a combination of neighbourhood contextual (environmental and health) and compositional (socioeconomic and demographic) characteristics. We statistically and spatially examined six environmental variables (ultrafine particles, carcinogenic and non-carcinogenic pollutants, pollution released to air, tree cover, and walkability index), six health service indicators (number health providers, breast, colorectal and cervical cancer screening uptake rates, student nutrition program uptake rates, and healthy food index), and eight socioeconomic indicators (total income, Gini coefficient, two age categories – below and above 40 years, proportion of females to males, visible minorities, Indigenous peoples, education, less than grade 9) among 140 neighbourhoods of the City of Toronto in Ontario (Canada). We applied principal component analysis to identify patterns and to reduce the number of explanatory variables into combined component axes that represent unique variation in these confounded and overlapping factors. We then applied regression analysis to model the relationship between the indices of enviro-health and socioeconomics and their potential relationship with premature mortality. Residual spatial analysis was used to investigate any remaining spatial structure (such as neighbourhoods with higher residual premature mortality rates). Neighbourhood Equity Index was correlated with our enviro-health and socioeconomic indices. Premature mortality within neighbourhoods was predicted by poor cancer screenings, pollution, lack of tree canopy, increased uptake of student nutrition programs and high walkability index. A negative association between premature mortality and pollution was associated low walkability index and presence of visible minorities within neighbourhoods. There was some unexplained residual spatial variation in our model of premature mortality - especially along the shores of Lake Ontario and in neighbourhoods with major highways or road corridors: premature mortality in Toronto neighbourhoods was higher than expected along highway-corridor neighbourhoods and shorelines. Our analysis revealed a significant relationship between neighbourhood contextual features – both environmental and health – and premature mortality, suggesting that these contextual components of neighbourhoods can predict rates of urban premature mortality in Toronto.