Addressing the Social Determinants of Health During the COVID-19 Pandemic: Ensuring Equity, Quality, and Sustainability

Differential utilization of the online patient portal for completion of health-related social needs screening during routine gynecologic cancer care

BACKGROUND

Telehealth technologies offer efficient ways to deliver health-related social needs (HRSN) screening in cancer care, but these methods may not reach all populations. The authors examined patient characteristics associated with using an online patient portal (OPP) to complete HRSN screening as part of gynecologic cancer care.

METHODS

From June 2021 to June 2023, patients in a gynecologic oncology clinic completed validated HRSN screening questions either (1) using the OPP (independently before the visit) or (2) in person (verbally administered by clinic staff). The authors examined the prevalence of HRSN according to activated OPP status and, in a restricted subgroup, used stepwise multivariate Poisson regression to identify associations between patient and visit characteristics and using the OPP.

RESULTS

Of 1616 patients, 87.4% (n = 1413) had an activated OPP. Patients with inactive OPPs (vs. activated OPPs) more frequently reported two or more needs (10% vs 5%; p < .01). Of 986 patients in the restricted cohort, 52% used the OPP to complete screening. The final multivariable model indicated that patients were less likely to use the OPP if they were Black (vs. White; adjusted relative risk [aRR], 0.70; 95% confidence interval [CI], 0.59-0.83); not employed (vs. employed; aRR, 0.81; 95% CI, 0.68-0.97), or had low measures of OPP engagement (aRR, 0.80; 95% CI, 0.68-0.92). New versus established patients were 21% more likely to use the OPP (aRR, 1.21; 95% CI, 1.06-1.38).

CONCLUSIONS

Differential use of the OPP suggested that over-reliance on digital technologies could limit the ability to reach those populations that have social factors already associated with cancer outcome disparities. Cancer centers should consider using multiple delivery methods for HRSN screening to maximize reach to all populations.

Integration of e-Health Strategies for Post-COVID-19 Pandemic Pediatric Weight Management Programs

Background: The COVID-19 pandemic catalyzed a renewed urgency to address the obesity pandemic and accelerated the use of technology to treat pediatric obesity. Yet, there are significant incongruities between the existing literature on technology for obesity management and the current health care system that may lead to suboptimal outcomes and increased costs. This study reviewed the types of e-health strategies currently in use, highlighted inconsistencies and overlap in terminology, and identified future research directions in e-health for childhood obesity, including gaps in implementation science. Methods: This narrative literature review synthesized seminal articles from the literature, as well as recent articles, using PubMed and Google Scholar that focused on the use of technology in treating pediatric obesity. This inclusive strategy was intended to elucidate the heterogeneity in how different disciplines are using digital health terminology in pediatric obesity research. Results: Both the prevalence of e-health interventions and its associated terminology are increasing in the peer-reviewed literature, especially since the beginning of the COVID-19 pandemic. Yet, their definitions and usage are unstandardized, leading to a lack of cohesion in the research and between disciplines. There is a gap in implementation science outcomes, including reimbursement, that may significantly impact external validity and uptake. Conclusion: A more systematic and precise approach to researching e-health that can assess specific technologies and combinations of technologies, their short-term and long-term effect sizes, and feasibility can produce the necessary data that may lead to reimbursement policies and, ultimately, improved pediatric weight management outcomes.

Key insights on multisector community partnerships from real-world efforts to address social determinants of health

PURPOSE

To better understand and inform how multisector community partnerships (MCPs) perform meaningful work to prevent chronic disease and advance health equity by addressing social determinants of health (SDOH).

METHODS

We conducted a rapid retrospective evaluation of SDOH initiatives implemented within the past three years by 42 established MCPs across the United States. The mixed methods evaluation included document review and coding of available outcomes data, virtual discussions, and Prevention Impacts Simulation Model (PRISM) analysis.

RESULTS

All 42 MCPs built community capacity for addressing SDOH through new or strengthened data systems, leveraged resources, or engaged residents, for example. Most MCPs (N = 38, 90%) reported contributions to community changes that promote healthy living. More than half of the MCPs (N = 22) reported health outcomes data for their SDOH initiatives, including improved health behaviors and clinical outcomes. Based on reach data provided by 27 MCPs, PRISM analysis results suggest that sustained initiatives could save over $633 million in productivity and medical costs cumulatively through 20 years.

CONCLUSIONS

With sufficient technical assistance and funding resources, MCPs are a key component of the public health strategy to address SDOH.

Socioeconomic status correlations with confirmed COVID-19 cases and SARS-CoV-2 wastewater concentrations in small-medium sized communities

Over two years into the COVID-19 pandemic, it is apparent that some populations across the world are more susceptible than others to SARS-CoV-2 infection and spread. Understanding how populations with varying demographic patterns are impacted by COVID-19 may highlight which factors are most important in targeting to combat global suffering. The first objective of this study was to investigate the association of various socioeconomic status (SES) parameters and confirmed COVID-19 cases in the state of Ohio, USA. This study examines the largest and capital city of Ohio (Columbus) and various small-medium-sized communities. The second objective was to determine the relationship between SES parameters and community-level SARS-CoV-2 concentrations using municipal wastewater samples from each city's respective wastewater treatment plants from August 2020 to January 2021. SES parameters include population size, median income, poverty, race/ethnicity, education, health care access, types of COVID-19 testing sites, and social vulnerability index. Statistical analysis results show that confirmed (normalized and/or non-normalized) COVID-19 cases were negatively associated with White percentage and registered hospitals, and positively associated with registered physicians and various COVID-19 testing sites. Wastewater viral concentrations were negatively associated with poverty, and positively associated with median income, community health centers, and onsite rapid testing locations. Additional analyses conclude that population is a significant factor in determining COVID-19 cases and SARS-CoV-2 wastewater concentrations. Results indicate that community healthcare parameters relate to a negative health outcome (COVID-19) and that demographic parameters can be associated with community-level SARS-CoV-2 wastewater concentrations. As the first study that examines the association between socioeconomic parameters and SARS-CoV-2 wastewater concentrations as well as confirmed COVID-19 cases, it is apparent that social determinants have an impact in determining the health burden of small-medium sized Ohioan cities. This study design and innovative approach are scalable and applicable for endemic and pandemic surveillance across the world.

Training student volunteers as community resource navigators to address patients' social needs: A curriculum toolkit

Introduction

Few resources are available to train students to provide patients assistance for obtaining needed community-based services. This toolkit outlines a curriculum to train student volunteers to become "community resource navigators" to serve patients via telephone at partner health sites.

Methods

University students co-designed the Help Desk navigator program and training for volunteer navigators as part of an academic-community partnership with a local Federally Qualified Health Center (FQHC). The multi-modal curricula consisted of five components: didactic instruction on social determinants of health and program logistics, mock patient calls and documentation, observation of experienced navigator interaction with patients, supervised calls with real patients, and homework assignments. In 2020, training materials were adapted for virtual delivery due to the COVID-19 pandemic. Trainees completed a survey after completion to provide qualitative feedback on the training and preparedness.

Results

The training was offered for the first cohort of 11 student volunteer navigators in 2019, revised and then offered for 13 undergraduate and nursing students over 6 weeks in 2020. In the training evaluation, trainees described the new knowledge and skills gained from the training, the long-term benefits toward their educational and professional career goals, and helpful interactive delivery of the training. Trainees also highlighted areas for improvement, including more time learning about community resources and practicing challenging patient conversations.

Conclusions

Our peer-to-peer, multi-modal training prepares student volunteers to become community resource navigators. Student, eager for meaningful clinical experiences, are an untapped resource that can help patients with their social needs.

Global Healthcare Needs Related to COVID-19: An Evidence Map of the First Year of the Pandemic

The COVID-19 pandemic has exposed gaps and areas of need in health systems worldwide. This work aims to map the evidence on COVID-19-related healthcare needs of adult patients, their family members, and the professionals involved in their care during the first year of the pandemic. We searched the databases MEDLINE, Embase, and Web of Science. Two reviewers independently screened titles and abstracts and assessed full texts for eligibility. Disagreements were resolved by consensus. Descriptive data were extracted and inductive qualitative content analysis was used to generate codes and derive overarching themes. Thirty-six studies met inclusion criteria, with the majority reporting needs from the perspective of professionals (35/36). Professionals' needs were grouped into three main clusters (basic, occupational, and psycho-socio-emotional needs); patients' needs into four (basic, healthcare, psycho-socio-emotional, and other support needs); and family members' needs into two (psycho-socio-emotional and communication needs). Transversal needs across subgroups were also identified and grouped into three main clusters (public safety, information and communication, and coordination and support needs). This evidence map provides valuable insight on COVID-19-related healthcare needs. More research is needed to assess first-person perspectives of patients and their families, examine whether needs differ by country or region, and evaluate how needs have evolved over time.

Screening for Social Risk at Federally Qualified Health Centers: A National Study

INTRODUCTION

Federally Qualified Health Centers serve 29.8 million low-income patients across the U.S., many of whom have unaddressed social risks. In 2019, for the first time, data on social risk screening capabilities were collected from every U.S. Federally Qualified Health Center. The objectives of this study were to describe the national rates of social risk screening capabilities across Federally Qualified Health Centers, identify organizational predictors of screening, and assess between-state heterogeneity.

METHODS

Using a 100% sample of U.S. Federally Qualified Health Centers (N=1,384, representing 29.8 million patients) from the 2019 Uniform Data System, the primary outcome was whether a Federally Qualified Health Center collected data on patients' social risk factors (yes/no). Summary statistics on the rates of social risk screening capabilities were generated in aggregate and by state. Linear probability models were then used to estimate the relationship between the probability of social risk screening and 7 key Federally Qualified Health Center characteristics (e.g., Federally Qualified Health Center size, Medicaid MCO contract, Medicaid accountable care organization presence). Data were analyzed in 2020‒2021.

RESULTS

Most (71%) Federally Qualified Health Centers collected social risk data, with a between-state variation. The most common screener was the Protocol for Responding to and Assessing Patients' Assets Risks and Experiences (43% of Federally Qualified Health Centers that screened), whereas 22% collected social risk data using a nonstandardized screener. After adjusting for other characteristics, Federally Qualified Health Centers with social risk screening capabilities served more total patients, were more likely to be located in a state with a Medicaid accountable care organization, and were less likely to have an MCO contract.

CONCLUSIONS

There has been widespread adoption of social risk screening tools across U.S. Federally Qualified Health Centers, but between-state disparities exist. Targeting social risk screening resources to smaller Federally Qualified Health Centers may increase the adoption of screening tools.

Developing the Next Generation of Leaders in Health Policy and Management: Lessons From an Undergraduate Student-Led Organization

As health care continues to evolve, training the next generation of healthcare leaders is more important than ever. However, many university undergraduate students are not directly exposed to topics such as health policy and management within their coursework or co-curricular engagements. At Duke University, we developed the Student Collaborative on Health Policy (SCOHP) as an inter-disciplinary health policy hub that offers opportunities for learning, engagement, and leadership in the healthcare-related fields for students of all academic backgrounds. We see opportunity for similar student-led groups to be established by student leaders at other institutions, increasing interaction with experts, mentorship and the accessibility of experiential education, service, and leadership in the health care sector.

The Impact of the COVID-19 Pandemic on Food Insecurity in Northern New England Primary and Prenatal Care Settings

INTRODUCTION AND OBJECTIVE

Food insecurity (FI) is associated with adverse health outcomes across the lifespan. Primary care and prenatal practices can identify and address FI among patients through screening and interventions. It is unclear how practices and communities responded to FI during the COVID-19 pandemic, and how the pandemic may have impacted practices' FI strategies. We aimed to understand how practices providing primary care or prenatal care in northern New England experienced changes in FI during the COVID-19 pandemic.

METHODS

We conducted a web-based survey of clinicians and staff from 43 unique practices providing primary care or prenatal care in northern New England.

RESULTS

Most practices (59.5%) reported at least 1 new food program in the practice or community since the pandemic began. Practices reporting new practice- or community-based food programs were more likely to be rural, federally qualified health centers, and have greater confidence in practice and community capacity to address FI (chi-square tests, P < .05).

CONCLUSION

Results suggest that practices and surrounding communities in northern New England responded to FI during the pandemic by increasing food support programs. Future work is needed to examine the impact of food programs initiated during the pandemic and determine optimal strategies for practices to address FI among patients.

Integrated Health and Social Care in the United States: A Decade of Policy Progress

Introduction:

Over the last decade in the United States (US), the burden of chronic disease, health care costs, and fragmented care delivery have increased at alarming rates. To address these challenges, policymakers have prioritized new payment and delivery models to incentivize better integrated health and social services.

Policy practice:

This paper outlines three major national and state policy initiatives to improve integrated health and social care over the last ten years in the US, with a focus on the Medicaid public insurance program for Americans with low incomes. Activities supported by these initiatives include screening patients for social risks in primary care clinics; building new cross-sector collaborations; financing social care with healthcare dollars; and sharing data across health, social and community services. Stakeholders from the private sector, including health systems and insurers, have partnered to advance and scale these initiatives. This paper describes the implementation and effectiveness of such efforts, and lessons learned from translating policy to practice.

Discussion and Conclusion:

National policies have catalyzed initiatives to test new integrated health and social care models, with the ultimate goal of improving population health and decreasing costs. Preliminary findings demonstrated the need for validated measures of social risk, engagement across levels of organizational leadership and frontline staff, and greater flexibility from national policymakers in order to align incentives across sectors.

Factors Associated with Patients' Connection to Referred Social Needs Resources at a Federally Qualified Health Center

Introduction:

In an effort to improve health outcomes and promote health equity, healthcare systems have increasingly begun to screen patients for unmet social needs and refer them to relevant social services and community-based organizations. This study aimed to identify factors associated with the successful connection (ie, services started) to social needs resources, as well as factors associated with an attempt to connect as a secondary, intermediate outcome.

Methods:

This retrospective cohort study included patients who had been screened, referred, and subsequently reached for follow-up navigation from March 2019 to December 2020, as part of a social needs intervention at a federally qualified health center (FQHC). Measures included demographic and social needs covariates collected during screening, as well as resource-related covariates that characterized the referred resources, including service domain (area of need addressed), service site (integration relative to the FQHC), and access modality (means of accessing services).

Results:

Of the 501 patients in the analytic sample, 32.7% had started services with 1 or more of their referred resources within 4 weeks of the initial referral, and 63.3% had at least attempted to contact 1 referred resource, whether or not they were able to start services. Receiving a referral to resources that patients could access via phone call or drop-in visit, as opposed to resources that required additional appointments or applications prior to accessing services, was associated with increased odds (aOR 1.95, 95% CI 1.05, 3.61) of connection success, after adjusting for age, sex, race, ethnicity, education, number of social needs, and resource-related characteristics. This study did not find statistically significant associations between connection attempt and any variable included in adjusted analyses.

Conclusion:

These findings suggest that referral pathways may influence the success of patients’ connection to social needs resources, highlighting opportunities for more accessible solutions to addressing patients’ unmet social needs.