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Objectives – Given the multitude of barriers faced by incarcerated and formerly incarcerated individuals, we contribute to prior literature through our exploration of the relationship between Social Determinants of Health (SDOH) and Adverse Childhood Experiences (ACE) scores among a sample of incarcerated individuals (women) in San Bernardino County.

Methods – We performed a secondary data analysis on the original, self-reported data collected in 2011 from 336 female participants serving sentences in the San Bernardino County Jail System. Multivariate linear regression analysis was performed to examine the association between ACE scores and select covariates.

Result – Higher ACE scores were associated with participants characterized as younger, low income, and unemployed and were significant among incarcerated women whose biological father has been in trouble with the law and those with an incarcerated household member. Additionally, participants with higher ACE scores were raised in more unstable neighborhoods.

Conclusions – The study demonstrates strong evidence that ACE scores are interrelated with individual-level characteristics, family stability, and SDOH, and impact the health outcomes and life experiences of vulnerable populations.

This chapter aims to find out perceived value creation while engaging with the Airbnb business. Whilst values have been found leading to participation, values resulting from actual participation are yet to be explored. By taking the approach of service-dominant logic and cocreation, topped with the discourse analysis of the written accounts of Airbnb guests, this study has discovered several values that result from cocreation during participation in Airbnb business models. Several avenues for the continuation of this study are suggested to build upon the acquired knowledge from this exploratory research.

Rates of anxiety, depression, and suicidality have long been known to be elevated among LGBTQ+ communities and it was expected that the COVID-19 pandemic would deepen systemic injustices and inequities in mental health outcomes. However, it remains difficult to document inequities as surveillance systems do not typically capture LGBTQ+-inclusive data necessary to study the impact of COVID-19 on LGBTQ+ population health. This chapter reports on two studies designed to address this gap. The COVID-19 Impacts Study (CIS) documented the early mental health and social impacts of COVID-19 among sexual and gender minority adults, as well as adults with HIV, during the first round of shut-downs and initial economic disruptions. Subsequently, the Youth and Young Adults COVID-19 Study (YYA) measured the impacts of COVID-19 on the mental health outcomes, testing/vaccination behaviors, and stigmatization experiences of LGBTQ+ and BIPOC (Black, Indigenous, People of Color) young people. Several recommendations are discussed – including mandated collection of data on sexual orientation and gender identity in all surveillance systems, policy solutions to better address access and cost barriers, and deep and meaningful engagement that empowers communities.

The purpose of this research is to assess public perception of food‐related hazards by Portuguese consumers at major metropolitan areas. A contrast was searched between controllable and non‐controllable hazards.

The Perceived Food Risk Index developed by Fife‐Schaw and Rowe, was administered to a sample of 666 subjects through a door to door interview using a random route walk procedure and following a quota sampling controlled for sex, age and location. Risk perception was evaluated over ten risk characteristics, for each of the hazards.

Through principal component analysis, two main components were identified: “Knowledge” and “Dread”. A perceptual map of the hazards was built over these two dimensions. A high level of worry and concern associated with fatty foods was found, clearly contradicting the expected attenuation of risk perception associated to greater perceived personal control. Contrarily to previous findings for other populations, GMOs yielded lower levels of both “Knowledge” and “Dread”. Based on risk perceptions, consumers were grouped in four segments: optimists, unconfident, fearless, and fearful.

This work adds to knowledge on the Portuguese consumer and its risk perceptions, a fairly unreported topic, thus helping to the success of food safety communication by different stakeholders.

The purpose of this study is to explore relationships between cardiovascular disease (CVD), cancer (CA), and diet using Geographic Information Systems (GIS) mapping techniques to investigate spatial trends.

Databases containing CVD and CA deaths are listed by state in the USA; databases containing state food consumption statistics, therefore, were sought. Available databases indicating dietary patterns were used to create spatial maps of the USA using ArcGIS (ESRI, Redlands, CA, version 9.2), to visually show trends in relationships among CVD, CA, and diet. Correlations and linear regression were used to determine statistical relationships among variables.

Maps show visual relationships between CVD and CA death rates, and a statistically significant positive correlation (r=0.765; p=0.0005) was also found. Southeastern states have the highest death rates for both diseases. Negative correlations were found between CVD and CA deaths and household expenditure for nuts (r=−0.525; p=0.0005 and r=−0.526; p=0.0005, respectively), and CVD deaths and fruit and vegetable intake (r=−0.423; p=0.002). Household expenditure for nuts was a predictor of CVD (β=−0.469, p=0.002) and CA (β=−0.490, p=0.002) deaths.

These trends indicate a need for further research on diet and these diseases, and for state‐wide dietary studies to facilitate research using GIS mapping. Food consumption patterns, especially nuts, may be related to CVD and CA death rates. Southeastern states should be targeted for nutrition intervention and education programs.

This article provides an in-depth study of leader resilience during the prolonged COVID-19 crisis.

The research is based on interviews with leaders in the hotel, retail and manufacturing industries during the pandemic. The analytical framework is individual resilience as both a process and an outcome. The analysis method is a combination of deductive and inductive content analysis.

This study offers a rich description of the interaction among the behavioural, situational and individual factors influencing leaders during the various stages of the global COVID-19 crisis.

Highlighting the role of leaders' personal reflections on the interaction between resilience factors and leaders' identity work, this paper contributes to the field by introducing an extended model of leader resilience.

The purpose of this paper is to examine how food aid providers in Sussex and Southwest London responded and managed during the pandemic.

The methodological approach consists of three inter-related layers. A qualitative description research approach based on naturalistic inquiry, supplemented by site visits and personal observations was used.

The pandemic catalysed dramatic, often positive, changes to the provision of food aid, with a move away from the traditional food bank model. It brought about increased coordination and oversight, as well as the upscaling of capabilities, infrastructure and provisions.

The paper contributes to the literature on food aid in the UK It provides evidence for how providers are transforming the sector for the better and potentially helping to deal with the cost-of-living crisis.

The purpose of this paper is to outline the theory and practice of governance for integrated care, using the case of New Zealand’s healthcare alliances.

This is descriptive analysis.

Alliance governance provides considerable scope for bringing health professional together to focus on whole system approaches to care design. As such, it facilitates care integration.

This is a descriptive review.

Descriptions of alliance governance in New Zealand and in general are rare in the literature. This paper fills this gap.

Social prescribing is a model of integrated care, in which primary healthcare staff can link patients to the social care sector. However, social prescribing can occur in different forms. To better understand the concept of social prescribing, this literature review examines the role of the link workers, activities and target groups.

A literature review was conducted. Studies before May 2020 were considered. In total, 1,700 studies were identified using the databases Pubmed, PsycInfo, Cinahl, Web of Science and Cochrane Library. After eligibility checks, 16 studies were included in the final analysis.

A few studies warned of a deeper engagement of the link worker due to service dependency, but most studies encouraged an active and supportive role of the link worker. Participants engaged in social, physical and counseling activities. The majority of studies emphasized the importance of linking group activities with personal preferences and identity needs. The main target groups were composed of individuals with psychosocial needs, but some studies also included patients with physical or mental illnesses.

Social prescribing is widely advocated as an innovative model of integrated care. However, few studies have looked into the complex system of social prescribing. This study analyzes the linking processes, activities and target groups in extant social prescribing programs.

Digital transformation (DT) is a priority for the healthcare sector. In many countries, it is still considered in the early stages with an underestimation of its benefits and potentiality. Especially in Italy, little is known about the impact of digitalization – particularly of the Internet of Things (IoT) – on the healthcare sector, for example, in terms of clinician's jobs and patient's experience. Drawing from such premises, the paper aims to focus on an overlooked healthcare area related to the chronic heart diseases field and its relationship with DT. The authors aim at exploring and framing the main variables of remote Monitoring (RM) adoption as a specific archetype of healthcare digitalization, both on patients and medical staff level, by shedding some lights on its overall implementation.

The authors empirically inquiry the RM adoption within the context of the Cardiology Department of the Casilino General Hospital of Rome. To answer our research question, the authors reconstruct the salient information by using induction-type reasoning, direct observation and interviewees with 12 key informants, as well as secondary sources analysis related to the hospital (internal documentation, presentations and technical reports).

According to a socio-technical framework, the authors build a model composed of five main variables related to medical staff and patients. The authors classify such variables into an input-process-output (I-P-O) model. RM adoption driver represents the input; cultural digital divide, structure flexibility and reaction to change serve the process and finally, RM outcome stands for the output. All these factors, interacting together, contribute to understanding the RM adoption process for chronic disease management.

The authors' research presents two main limitations. The first one is related to using a qualitative method, which is less reliable in terms of replication and the interpretive role of researchers. The second limitation, connected to the first one, is related to the study's scale level, which focuses on a mono-centric consistent level of analysis.

The paper offers a clear understanding of the RM attributes and a comprehensive view for improving the overall quality management of chronic diseases by suggesting that clinicians carefully evaluate both hard and soft variables when undertaking RM adoption decisions.

RM technologies could impact on society both in ordinary situations, by preventing patient mobility issues and transport costs, and in extraordinary times (such as a pandemic), where telemedicine contributes to supporting hospitals in swapping in-person visits with remote controls, in order to minimize the risk of coronavirus disease (COVID-19) contagion or the spread of the virus.

The study enriches the knowledge and understanding of RM adoption within the healthcare sector. From a theoretical perspective, the authors contribute to the healthcare DT adoption debate by focusing on the main variables contributing to the DT process by considering both medical staff and patient's role. From a managerial perspective, the authors highlight the main issues for RM of chronic disease management to enable the transition toward its adoption. Such issues range from the need for awareness of the medical staff about RM advantages to the need for adapting the organizational structure and the training and education process of the patients.