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This chapter addresses the factors outside of medical care that are responsible for health outcomes: social and structural determinants of health (SDOH). It outlines economic stability, education, health access, neighborhood, built environment, and community context (including income inequality and racism) as some of the upstream drivers of the health-income gradient. These SDOH are framed in economic terms as a local public bad. Managers therefore must take SDOH into account if they are aiming to optimize health outcomes and costs for their population, especially if they are in a population-based or capitated payment system. The evidence about what actions to take is still developing, but some interventions are reviewed including Medicare’s direct contracting model, Medicaid’s section 1115 waivers, community health workers, meal delivery programs, and screening and referring to community organizations. Larger actions such as disparate impact monitoring and changing payment incentives and risk adjustment will need to be taken in the future.
Self-rated health (SRH) is widely used as an indicator of health in population studies, and there has been an increased interest in cross-national variations. Numerous studies have found an association between SRH and health, including whether there are interactional effects at both the micro and the macro levels. This article compares the effect of social meetings on SRH across different welfare regimes in Europe. We discuss whether differences in welfare design may explain some of the variations in the impact of social meetings on SRH. We observe regime-specific patterns and identify cross-national variations. One main finding is that the effect of social meetings on SRH is stronger in all other welfare regimes compared to the social-democratic regime. Examining the pattern of association between SRH and social meetings across welfare regimes offers valuable insight into whether welfare systems may moderate potential health risks stemming from fewer social meetings.
Social disadvantage can result in healthcare gaps and primary care may be a suitable healthcare context to identify unmet social needs. A variety of screening tools exists but none of them is consolidated in clinical practice. After reviewing the available instruments, we conducted a rigorous translation and trans-cultural adaptation into Italian language of the EveryONE social need screening tool questionnaire of the American Academy of Family Physicians. The translated questionnaire was piloted among 45 patients consecutively recruited in two general practices in the northern Italian city of Modena in 2023 and obtained excellent scores in comprehension and acceptability. The cross-cultural adaptation presented in this study is a first step towards a complete validation. A full validation study is needed to safely adopt EveryONE in routine general practice and to evaluate its effects on health provision.
Social determinants of health (SDHs) exert a significant influence on various health outcomes and disparities. This study aimed to explore the associations between combined SDHs and mortality, as well as adverse health outcomes among adults with depression.
Methods
The research included 48,897 participants with depression from the UK Biobank and 7,771 from the US National Health and Nutrition Examination Survey (NHANES). By calculating combined SDH scores based on 14 SDHs in the UK Biobank and 9 in the US NHANES, participants were categorized into favourable, medium and unfavourable SDH groups through tertiles. Cox regression models were used to evaluate the impact of combined SDHs on mortality (all-cause, cardiovascular disease [CVD] and cancer) in both cohorts, as well as incidences of CVD, cancer and dementia in the UK Biobank.
Results
In the fully adjusted models, compared to the favourable SDH group, the hazard ratios for all-cause mortality were 1.81 (95% CI: 1.60–2.04) in the unfavourable SDH group in the UK Biobank cohort; 1.61 (95% CI: 1.31–1.98) in the medium SDH group and 2.19 (95% CI: 1.78–2.68) in the unfavourable SDH group in the US NHANES cohort. Moreover, higher levels of unfavourable SDHs were associated with increased mortality risk from CVD and cancer. Regarding disease incidence, they were significantly linked to higher incidences of CVD and dementia but not cancer in the UK Biobank.
Conclusions
Combined unfavourable SDHs were associated with elevated risks of mortality and adverse health outcomes among adults with depression, which suggested that assessing the combined impact of SDHs could serve as a key strategy in preventing and managing depression, ultimately helping to reduce the burden of disease.
Social determinants of health (SDH) impact older adults’ ability to age in place, including their access to primary and community care services. Yet, older service users are infrequently consulted on the design and delivery of health services; when they are consulted, there is scant recruitment of those who are Indigenous, racialized and/or rural. This study aimed to identify SDH for socially and culturally diverse community-dwelling older adults and to understand their views on how primary and community care restructuring might address these SDH. We recruited a diverse group of 83 older adults (mean = 75 years) in Western Canada and compared quantitative and qualitive data. The majority resided rurally, identified as women, lived with complex chronic disease (CCD), had low income and/or lived alone; nearly a quarter were Indigenous or Sikh. Indigenous status correlated with income; gender correlated with income and living situation. Thematic analysis determined that income, living situation, living rurally, Indigenous ancestry, ethno-racial minority status, gender and transportation were the main SDH for our sample. Income was the most predominant SDH and intersected with more SDH than others. Indigenous ancestry and ethno-racial minority status – as SDH – manifested differently, underscoring the importance of disaggregating data and/or considering the uniqueness of ‘BIPOC’ groups. Our study suggests that SDH models should better reflect ageing and living rurally, that policy/decision makers should prioritize low-income and ethno-racial minority populations and that service providers should work with service users to ensure that primary and community care (restructuring) addresses their priorities and mitigates SDH.
Prenatal maternal mental health and social determinants of health may influence pregnancy, child hospitalisation, and child neurodevelopmental outcomes in critical congential heart disease (CHD). We examined 189 mother–child dyads of children born with CHD who underwent neonatal cardiac surgery and completed neurodevelopmental assessment between the ages 13 and 29 months. We used latent profile analysis to identify distinct maternal groups based on prenatal maternal mental health screening scores and individual- and neighbourhood-level social determinants of health factors. We examined the association between maternal groups with their child’s gestational age, birth weight, hospital length of stay (HLOS), and neurodevelopment. Latent profile analysis identified two distinct groups: high-risk (n = 46) and low-risk (n = 143). Mothers in the high-risk group had higher mental health screening scores, lower age, higher social vulnerability, lower education, and were more likely to have Medicaid insurance and represent a minority group than mothers in the low-risk group. The high-risk group had children with lower gestational age and weight at birth, longer HLOS, and lower cognitive, language, and motor scales than children in the low-risk group (p < 0.05). Sensitivity analysis in mother–infant dyads without foetal extracardiac conditions found that significant relationships persisted in the high-risk group, with lower gestational age and lower language scale scores than the low-risk group (p < 0.05). Children of mothers with adverse prenatal maternal mental health and social determinants of health risks had significantly worse pregnancy and child outcomes. Interventions are critically needed to address maternal mental health and social determinants of health risks beginning in the prenatal period.
The macro-social and environmental conditions in which people live, such as the level of a country’s development or inequality, are associated with brain-related disorders. However, the relationship between these systemic environmental factors and the brain remains unclear. We aimed to determine the association between the level of development and inequality of a country and the brain structure of healthy adults.
Methods
We conducted a cross-sectional study pooling brain imaging (T1-based) data from 145 magnetic resonance imaging (MRI) studies in 7,962 healthy adults (4,110 women) in 29 different countries. We used a meta-regression approach to relate the brain structure to the country’s level of development and inequality.
Results
Higher human development was consistently associated with larger hippocampi and more expanded global cortical surface area, particularly in frontal areas. Increased inequality was most consistently associated with smaller hippocampal volume and thinner cortical thickness across the brain.
Conclusions
Our results suggest that the macro-economic conditions of a country are reflected in its inhabitants’ brains and may explain the different incidence of brain disorders across the world. The observed variability of brain structure in health across countries should be considered when developing tools in the field of personalized or precision medicine that are intended to be used across the world.
The Child Opportunity Index is an index of 29 indicators of social determinants of health linked to the United States of America Census. Disparities in the treatment of Wolff–Parkinson–White have not be reported. We hypothesise that lower Child Opportunity Index levels are associated with greater disease burden (antiarrhythmic use, ablation success, and Wolff–Parkinson–White recurrence) and ablation utilisation.
Methods:
A retrospective, single-centre study was performed with Wolff–Parkinson–White patients who received care from January 2021 to July 2023. Following exclusion for <5 years old and with haemodynamically significant CHD, 267 patients were included (45% high, 30% moderate, and 25% low Child Opportunity Index). Multi-level logistic and log-linear regression was performed to assess the relationship between Child Opportunity Index levels and outcomes.
Results:
Low patients were more likely to be Black (p < 0.0001) and to have public insurance (p = 0.0006), though, there were no significant differences in ablation utilisation (p = 0.44) or time from diagnosis to ablation (p = 0.37) between groups. There was an inverse relationship with emergency department use (p = 0.007). The low group had 2.8 times greater odds of having one or more emergency department visits compared to the high group (p = 0.004).
Conclusion:
The Child Opportunity Index was not related with ablation utilisation, while there was an inverse relationship in emergency department use. These findings suggest that while social determinants of health, as measured by Child Opportunity Index, may influence emergency department utilisation, they do not appear to impact the overall management and procedural timing for Wolff–Parkinson–White treatment.
The clinical decision to admit or place in observation patient’s presenting to emergency departments requires complex determinations identifying need for short term diagnostic evaluation or therapeutic intervention with continuous patient monitoring then deciding to discharge the patient to the community or admit as an inpatient. Professionally developed guideline criteria require evidence based accepted standards adopted by general medical practices then widely shared within the health care community, aligned with health care system policies and procedures, then monitored to be certain specified outcomes are achieved.
In this chapter of Complex Ethics Consultations: Cases that Haunt Us, the authors explore care for a patient with history of being abused, borderline personality disorder, substance use disorder, and a complex psychiatric history who was labeled by staff as a "hateful patient." He presents frequently after self-harming, requiring surgery and short-term psychiatric treatment. Complex behavioral issues and erratic acceptance of nursing and medical care led to staff frustration and unprofessional chart notes. Transfer to a long-term treatment setting was difficult to negotiate. Several months after discharge, the patient died. The authors are haunted by the patient’s desperation and deep loneliness. He wished he could remain hospitalized where he felt cared for. Authors wondered what more could have been done to help him.
Edited by
Richard Pinder, Imperial College of Science, Technology and Medicine, London,Christopher-James Harvey, Imperial College of Science, Technology and Medicine, London,Ellen Fallows, British Society of Lifestyle Medicine
Lifestyle Medicine is an evidence-based medical discipline that emphasises behaviour change to improve overall health, focusing on mental wellbeing, social connections, healthy eating, physical activity, sleep, and minimising harmful behaviours. The approach bridges clinical practice with public health interventions, targeting both individual and population health. It is effective in preventing, treating, and sometimes reversing chronic diseases through lifestyle modification. Clinicians practising Lifestyle Medicine support actions beyond clinical consultations, advocating for healthy environments and policies. The discipline also addresses the challenges of non-communicable diseases and enhances resilience against infectious diseases. It offers an alternative to over-medicalisation, promoting self-care and lifestyle changes alongside traditional medical treatments. The new medical paradigm recognises the modifiability of gene expression and the importance of lifestyle factors in health outcomes. Lifestyle Medicine is increasingly integrated into medical education and healthcare delivery systems. It aligns with the shift towards person-centred care that focuses on patients’ values and goals, contributing to a more holistic approach to health and wellbeing.
Edited by
Richard Pinder, Imperial College of Science, Technology and Medicine, London,Christopher-James Harvey, Imperial College of Science, Technology and Medicine, London,Ellen Fallows, British Society of Lifestyle Medicine
Mental health disorders are highly prevalent and costly in high-income countries, driven by multiple social, economic, environmental and lifestyle factors. Lifestyle Medicine strategies can prevent and treat mental health disorders by addressing their biopsychosocial determinants and enhancing positive psychology- focusing on preserving developing what works well, rather than the traditional medical model of fixing what has broken. A number of tools and techniques to assess and prescribe lifestyle interventions for mental wellbeing are available. Mental health is intimately connected with other aspects of Lifestyle Medicine, such as physical activity, relationships, and the natural environment. Applying the evidence base from Lifestyle Medicine offers possibilities to avoid over-prescribing and promote non-pharmacological and holistic approaches that empower individuals and communities.
Social determinants of health are nonmedical factors that influence health outcomes. They have a direct impact on maternal morbidity and mortality. There are five domains considered in the umbrella of social determinents of health. This case represents an example of food and housing insecurity for a patient who presents for prenatal care. Important collaboration with social work and local resources are critical for those who provide prenatal care for patients. The case reviews assessment of social determinants of health, approach to resources, and overall impact on pregnancy outcome.
We conducted a pilot study of implementing community health workers (CHWs) to assist patients with hypertension and social needs. As part of clinical care, patients identified as having an unmet need were referred to a CHW. We evaluated changes in blood pressure and needs among 35 patients and conducted interviews to understand participants’ experiences. Participants had a mean age of 54.1 years and 29 were Black. Twenty-six completed follow-up. Blood pressure and social needs improved from baseline to 6 months. Participants reported being accepting of CHWs, but also challenges with establishing a relationship with a CHW and being unclear about their role.
Decentralized research has many advantages; however, little is known about the representativeness of a source population in decentralized studies. We recruited participants aged 18-64 years from four states from June to December 2022 for a prospective cohort study to assess viral epidemiology. Our aim was to determine the association between age, gender, race/ethnicity, rurality, and socioeconomic status (SES) on study participation in a decentralized prospective cohort study.
Methods:
We consented 9,286 participants from 231,099 (4.0%) adults with the mean age of 45.6 years (±12.0). We used an electronic decentralized approach for recruitment. Consented participants were more likely to be non-Hispanic White, female, older, urban residents, have more health conditions, and possessed higher socioeconomic status (SES) compared to those non-consented.
Results:
We observed an interaction between SES and race-ethnicity on the odds of consent (P = 0.006). Specifically, SES did not affect non-Hispanic white participation rates(OR 1.24 95% CI 1.16 – 1.32] for the highest SES quartile compared to those with the lowest SES quartile) as much as it did participants combined across the other races (OR 1.73; 95% CI 1.45 – 2.98])
Conclusion:
The relationship between SES and consent rates might be disproportionately greater in historically disadvantaged groups, compared to non-Hispanic White. It suggests that instead of focusing on enrollment of specific minority groups in research, there is value in future research exploring and addressing the diversity of barriers to trials within minority groups. Our study highlights that decentralized studies need to address social determinants of health, especially in under-resourced populations.
In the middle of the last century, Archie Cochrane, one of the founding fathers of evidence-based medicine, argued that understanding healthcare treatments required the consideration of three questions: “Can it work?”, “Does it work?” and “Is it worth it?” Each of these questions addresses a different aspect of the problem and requires different assumptions and different research methodologies. Understanding if a treatment can work establishes proof of principle derived from efficacy studies that control who takes the treatment, how it is administered, and how outcomes are measured. The question “Does it work?” is about effectiveness that is evaluated under conditions of the usual care. Randomized controlled trials, which form the core of efficacy research, are difficult to employ in the evaluation of effectiveness. Even if interventions are shown to be efficacious and effective, people need to decide if accepting the treatment is worth it. Healthcare can be expensive, inconvenient, painful, and sometimes of little value. This introductory chapter reviews the three questions and prepares the reader for the in-depth discussion of these issues in the following 16 chapters.
Gastroesophageal reflux disease is a common condition that can be controlled with proton pump inhibitors such as omeprazole. We examine randomized controlled trials (RCTs) of omeprazole and find stronger evidence of efficacy among RCTs with industry support than without. The participants in these trials were unlike most people who take proton pump inhibitors, raising questions about the external validity of RCTs. Furthermore, use of these medicines is associated with short- and longer-term adverse effects. Healthy behavior change, such as weight loss, holds promise as an alternative to proton pump inhibitors.
This study aims to identify fathers’ profiles integrating food parenting practices (FPP) and physical activity parenting practices (PAPP).
Design:
We analysed cross-sectional data. The fathers completed the reduced FPP and PAPP item banks and socio-demographic and family dynamics (co-parenting and household responsibility) questionnaires. We identified fathers’ profiles via latent profile analysis. We explored the influence of social determinants, child characteristics and family dynamics on fathers’ profiles using multinomial logistic regression.
Setting:
Online survey in the USA.
Participants:
Fathers of 5–11-year-old children.
Results:
We analysed data from 606 fathers (age = 38 ± 8·0; Hispanic = 37·5 %). Most fathers self-identified as White (57·9 %) or Black/African American (17·7 %), overweight (41·1 %) or obese (34·8 %); attended college (70 %); earned > $47 000 (62·7 %); worked 40 hrs/week (63·4 %) and were biological fathers (90·1 %). Most children (boys = 55·5 %) were 5–8 years old (65·2 %). We identified five fathers’ profiles combining FPP and PAPP: (1) Engaged Supporter Father (n 94 (15·5 %)); (2) Leveled Father (n 160 (26·4 %)); (3) Autonomy-Focused Father (n 117 (19·3 %)); (4) Uninvolved Father (n 113 (18·6 %)) and (5) Control-Focused Father (n 122 (20·1 %)). We observed significant associations with race, ethnicity, child characteristics, co-parenting and household responsibility but not with education level, annual income or employment status. We observed significant pairwise differences between profiles in co-parenting and household responsibility, with the Engaged Supporter Father presenting higher scores in both measures.
Conclusions:
Understanding how fathers’ FPP and PAPP interact can enhance assessments for a comprehensive understanding of fathers’ influences on children’s health. Recognising the characteristics and differences among fathers’ profiles may enable tailored interventions, potentially improving children’s health trajectories.
This study aimed to describe medical students’ perceptions and experiences with health policy and advocacy training and practice and define motivations and barriers for engagement.
Methods:
This was a mixed-methods study of medical students from May to October 2022. Students were invited to participate in a web-based survey and optional follow-up phone interview. Surveys were analyzed using descriptive statistics. Phone interviews were audio-recorded, transcribed, and de-identified. Interviews were coded inductively using a coding dictionary. Themes were identified using thematic analysis.
Results:
35/580 survey responses (6% response rate) and 15 interviews were completed. 100% rated social factors as related to overall health. 65.7% of participants felt “very confident” or “extremely confident” in identifying social needs but only 11.4% felt “very confident” in addressing these needs. From interviews, six themes were identified: (1) participants recognized that involvement in health policy and/or advocacy is a duty of physicians; (2) participants acknowledged physicians’ voices as well respected; (3) participants were comfortable identifying social determinants of health but felt unprepared to address needs; (4) barriers to future involvement included intimidation, self-doubt, and skepticism of impact; (5) past exposures and awareness of advocacy topics motivated participants to engage in health policy and/or advocacy during medical school; and (6) participants identified areas where the training on these topics excelled and offered recommendations for improvement, including simulation, earlier integration, and teaching on health-related laws and policies.
Conclusions:
This study highlights the importance of involvement in health policy and advocacy among medical students and the need for enhanced education and exposure.
In recent years, there has been a growth in awareness of the importance of equity and community engagement in clinical and translational research. One key limitation of most training programs is that they focus on change at the individual level. While this is important, such an approach is not sufficient to address systemic inequities built into the norms of clinical and translational research. Therefore, it is necessary to provide training that addresses changing scientific norms and culture to ensure inclusivity and health equity in translational research.
Method:
We developed, implemented, and assessed a training course that addressed how research norms are based on histories and legacies of white supremacy, colonialism, and patriarchy, ultimately leading to unintentional exclusionary and biased practices in research. Additionally, the course provides resources for trainees to build skills in how to redress this issue and improve the quality and impact of clinical and translational research. In 2022 and 2023, the course was offered to cohorts of pre and postdoctoral scholars in clinical and translational research at a premier health research Institution.
Results:
The efficacy and immediate impact of three training modules, based on community engagement, racial diversity in clinical trials, and cancer clusters, were evaluated with data from both participant feedback and assessment from the authors. TL1 scholars indicated increased new knowledge in the field and described potential future actions to integrate community voices in their own research program.
Conclusions:
Results indicate that trainings offered new perspectives and knowledge to the scholars.