Applying a systems oriented ethical decision making framework to mitigating social and structural determinants of health

Objectives

Clinical ethical decision-making models are largely geared toward individual clinician choices and individual patient outcomes, not necessarily accounting for larger systemic issues that affect optimal patient outcomes. The purpose of this paper is to provide an ethical decision-making model, drawing upon systems orientation and ethical theory, specifically incorporating and aiding in the mitigation of social and structural determinants of health.

Methods

This paper presents a systems-oriented ethical decision-making framework derived from the analysis and critique of the Four-Box Method for Ethical Decision-Making by Jonsen, Siegler, and Winslade. Drawing upon both deontological and utilitarian ethical theory, the developed framework will assist providers, organizations, and health system leaders in navigating the increasingly complex ethical dimensions of care delivery for underserved patient populations, who are largely impacted by social and structural determinants of health.

Results

The needs of underserved patients are inextricably linked to various social and structural determinants of health that, if left unaddressed, result in even poorer health outcomes, exacerbating existing health disparities. A systems-oriented ethical decision-making framework, centered on obligation, duty, and a utilitarian view of the optimal good, will aid providers, organizations, health system leaders, and community stakeholders in navigating the increasingly complex ethical dimensions of care delivery for underserved patient populations.

Conclusion

Socioeconomic and political contexts have a significant impact on the way society is organized, how people are positioned in society, and how they will fare in terms of their health. Healthcare providers, including dentists, are largely unaware of and insensitive to the social issues that underlie the biological or psychological concerns that patients from socially disadvantaged backgrounds face. A systems-oriented ethical decision-making model will aid in mitigating social and structural determinants of health and the dental profession's obligations to the underserved.

Cancer beliefs and screening behaviors: The impact of neighborhood and other social determinants of health

Background

Beliefs about cancer influence breast and colorectal cancer (CRC) screening behavior. Screening rates for these cancers differ in the contiguous neighborhoods of East Harlem (EH), Central Harlem (CH), and the Upper East Side (UES), which have distinct socio-demographic compositions. We assessed the belief-screening behavior relationship in these neighborhoods.

Methods

The 2019 Community Cancer Needs Survey included adults eligible for breast and/or colorectal cancer screening. Raking was used to generate neighborhood-specific distribution estimates. Categorical variables were compared using Chi-square tests. Stepwise logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (CI) for the association between cancer beliefs and screening.

Results

Our weighted sample included 147,726 respondents. Screening was 75% in CH, 81% in EH, and 90% in the UES for breast cancer, and 71%, 76%, and 92% for CRC, respectively. The fatalistic belief "There's not much you can do to lower your chances of getting cancer" differed by neighborhood with screening more likely in CH respondents (breast OR =1.45 and colorectal OR =1.11), but less likely in EH (OR= 0.77 and 0.37, respectively). UES ORs were not generated due to too few unscreened respondents.

Conclusions

Cancer beliefs were inconsistently associated with breast and CRC screening across three NYC neighborhoods. This suggests that a given belief may either motivate or deter screening, depending upon context or interpretation. Once access is addressed, efforts seeking to enhance screening rates should consider implications of communities' varying beliefs.

Sustaining and scaling a clinic-based approach to address health-related social needs

Objective

Scaling evidence-based interventions (EBIs) from pilot phase remains a pressing challenge in efforts to address health-related social needs (HRSN) and improve population health. This study describes an innovative approach to sustaining and further spreading DULCE (Developmental Understanding and Legal Collaboration for Everyone), a universal EBI that supports pediatric clinics to implement the American Academy of Pediatrics' Bright Futures™ guidelines for infants' well-child visits (WCVs) and introduces a new quality measure of families' HRSN resource use.

Methods

Between August 2018 and December 2019, seven teams in four communities in three states implemented DULCE: four teams that had been implementing DULCE since 2016 and three new teams. Teams received monthly data reports and individualized continuous quality improvement (CQI) coaching for six months, followed by lighter-touch support via quarterly group calls (peer-to-peer learning and coaching). Run charts were used to study outcome (percent of infants that received all WCVs on time) and process measures (percent of families screened for HRSN and connected to resources).

Results

Integrating three new sites was associated with an initial regression of outcome: 41% of infants received all WCVs on time, followed by improvement to 48%. Process performance was sustained or improved: among 989 participating families, 84% (831) received 1-month WCVs on time; 96% (946) were screened for seven HRSN, 54% (508) had HRSN, and 87% (444) used HRSN resources.

Conclusion

An innovative, lighter-touch CQI approach to a second phase of scale-up resulted in sustainment or improvements in most processes and outcomes. Outcomes-oriented CQI measures (family receipt of resources) are an important addition to more traditional process-oriented indicators.

Economic Migrants and Clinical Course of SARS-CoV-2 Infection: A Follow-Up Study

Objective: To analyze whether social deprivation and economic migrant (EM) status influence the risk of being hospitalized with COVID-19. Methods: This was a retrospective follow-up study including all patients older than 18 years attending the Daroca Health Center in Madrid, Spain, diagnosed with COVID-19 during September 2020. Data on EM status and other sociodemographic, lifestyle and comorbidities that could affect the clinical course of the infection were obtained from electronic medical records. Results: Of the 796 patients positive for COVID-19, 44 (5.53%) were hospitalized. No significant differences were observed between those who were hospitalized and those who were not in the mean of social deprivation index or socioeconomic status, but EM status was associated with the risk of being hospitalized (p = 0.028). Logistic regression models showed that years of age (OR = 1.07; 95% CI: 1.04-1.10), EM status (OR = 5.72; 95% CI: 2.56-12.63) and hypertension (OR = 2.22; 95% CI: 1.01-4.85) were the only predictors of hospitalization. Conclusion: Our data support that EM status, rather than economic deprivation, is the socioeconomic factor associated with the probability of hospital admission for COVID-19 in Madrid, Spain.

Striving for Health Equity: The Importance of Social Determinants of Health and Ethical Considerations in Pandemic Preparedness Planning

Since the WHO's "Influenza Pandemic Preparedness Plan" in 1999, pandemic preparedness plans at the international and national level have been constantly adapted with the common goal to respond early to outbreaks, identify risks, and outline promising interventions for pandemic containment. Two years into the COVID-19 pandemic, public health experts have started to reflect on the extent to which previous preparations have been helpful as well as on the gaps in pandemic preparedness planning. In the present commentary, we advocate for the inclusion of social and ethical factors in future pandemic planning-factors that have been insufficiently considered so far, although social determinants of infection risk and infectious disease severity contribute to aggravated social inequalities in health.

Patient-reported outcome measures can advance population health, but is access to instruments and use equitable?

Patient reported outcome measures (PROM) can engage patients and clinicians to improve health outcomes. Their population health impact may be limited by systematic barriers inhibiting access to completion. In this analysis we evaluated the association between individual parent/child characteristics and clinic factors with parental completion of a locally developed PROM, the Early Healthy Lifestyles (EHL) questionnaire. Participants included parent-child dyads who presented at 14 pediatric clinics for regularly scheduled well-child visits (WCV) prior to age 26 months. EHL items include feeding practices, diet, play time, screen exposure, and sleep. Completion was categorized at patient- (i.e., parent-child dyad) and clinic-levels. Parents completed the 15-item EHL in the patient portal before arrival or in the clinic; ninety-three percent of EHL questionnaires were completed in the clinic vs. 7% in the patient portal. High-completers completed EHL for half of WCVs; low-completers completed at least once; and non-completers never completed. Clinics were classified by EHL adoption level (% high completion): High-adoption: >50%; Moderate-adoption: 10%-50%; and Low-adoption: <10%. Individual-level factors had negligible impact on EHL completion within moderate/low EHL adoption sites; high-adoption sites were used to evaluate infant and maternal factors in association with EHL completion using hierarchical logistic regression. Noncompletion of EHL was significantly associated (p < 0.05) with infant use of public insurance (OR = 1.92 [1.42, 2.59]), >1 clinic site for WCV (OR = 1.83 [1.34, 2.50]), non-White birth mother (OR = 1.78 [1.28, 2.47]), and body weight <2,500 grams or gestational age <34 weeks (OR = 1.74 [1.05, 2.90]). The number of WCVs, a proxy for clinic size, was evaluated but was not associated with completion. Findings indicate potential disparities between populations exposed to, completing, and benefitting from these tools.

Mental Health and Wellbeing of 9-12-year-old Children in Northern Canada Before the COVID-19 Pandemic and After the First Lockdown

Objectives: Children’s mental health and wellbeing declined during the first COVID-19 lockdown (Spring 2020), particularly among those from disadvantaged settings. We compared mental health and wellbeing of school-aged children observed pre-pandemic in 2018 and after the first lockdown was lifted and schools reopened in Fall 2020.

Methods: In 2018, we surveyed 476 grade 4–6 students (9–12 years old) from 11 schools in socioeconomically disadvantaged communities in Northern Canada that participate in a school-based health promotion program targeting healthy lifestyle behaviours and mental wellbeing. In November-December 2020, we surveyed 467 grade 4–6 students in the same schools. The 12 questions in the mental health and wellbeing domain were grouped based on correlation and examined using multivariable logistic regression.

Results: There were no notable changes pre-pandemic vs. post-lockdown in responses to each of the 12 questions or any of the sub-groupings.

Conclusion: Supporting schools to implement health promotion programs may help mitigate the impact of the pandemic on children’s mental health and wellbeing. The findings align with recent calls for schools to remain open as long as possible during the pandemic response.

Determinants of Preventive Behaviors in Response to the COVID-19 Pandemic in France: Comparing the Sociocultural, Psychosocial, and Social Cognitive Explanations

In absence of effective pharmaceutical treatments, the individual's compliance with a series of behavioral recommendations provided by the public health authorities play a critical role in the control and prevention of SARS-CoV2 infection. However, we still do not know much about the rate and determinants of adoption of the recommended health behaviors. This paper examines the compliance with the main behavioral recommendations, and compares sociocultural, psychosocial, and social cognitive explanations for its variation in the French population. Based on the current literature, these 3 categories of factors were identified as potential determinants of individual differences in the health preventive behaviors. The data used for these analyses are drawn from 2 cross-sectional studies (N = 2,000 in survey 1 and 2,003 in survey 2) conducted after the lockdown and before the peak of the COVID-19 epidemic in France. The participants were drawn from a larger internet consumer panel where recruitment was stratified to generate a socio-demographically representative sample of the French adult population. Overall, the results show a very high rate of compliance with the behavioral recommendations among the participants. A hierarchical regression analysis was then performed to assess the potential explanatory power of these approaches in complying with these recommendations by successively entering sociocultural factors, psychosocial factors, social cognitive factors in the model. Only the inclusion of the cognitive variables substantially increased the explained variance of the self-reported adoption of preventive behaviors (R 2 change = 23% in survey 1 and 2), providing better support for the social cognitive than the sociocultural and psychosocial explanations.

Frameworks for Community Impact - Community Case Study

The Affordable Care Act of 2008 placed specific community health needs assessment and community benefit reporting requirements on US not-for-profit hospitals. The requirements are straightforward, but come with no expectation for synergy between the needs assessment and the community benefit spending, no direction on how to design systems to improve community health, and with surprisingly little accountability for improving health outcomes. With the help of diverse community partners, one Critical Access hospital in rural Vermont has successfully linked the needs assessment with community benefit dollars to address upstream contributors of health. In 2014, Northeastern Vermont Regional Hospital lead the creation of NEK Prosper: Caledonia and Southern Essex Accountable Health Community with a mission to tackle poverty as the ultimate root cause of poor health in the region. This article outlines how a hospital community health needs assessment ignited a change in how community partners worked together, aligned organizational strategies, and overcame industry jargon barriers to create regional system change to improve health. And how that same hospital has used community benefit dollars to accelerate action at the community level.