Association of the Social Determinants of Health With Quality of Primary Care

A Clinician's Guide to Understanding Bias in Critical Clinical Prediction Models

This narrative review focuses on the role of clinical prediction models in supporting informed decision-making in critical care, emphasizing their 2 forms: traditional scores and artificial intelligence (AI)-based models. Acknowledging the potential for both types to embed biases, the authors underscore the importance of critical appraisal to increase our trust in models. The authors outline recommendations and critical care examples to manage risk of bias in AI models. The authors advocate for enhanced interdisciplinary training for clinicians, who are encouraged to explore various resources (books, journals, news Web sites, and social media) and events (Datathons) to deepen their understanding of risk of bias.

Effect of GP visits in the compliance of preventive services: a cross-sectional study in Europe

BACKGROUND

Performing cardiovascular and cancer screenings in target populations can reduce mortality. Visiting a General Practitioner (GP) once a year is related to an increased likelihood of preventive care. The aim of this study was to analyse the influence of visiting a GP in the last year on the delivery of preventive services based on sex and household income.

METHODS

Cross-sectional study using data collected from the European Health Interview Survey 2013-2015 of individuals aged 40-74 years from 29 European countries. The variables included: sociodemographic factors (age, sex, and household income (HHI) quintiles [HHI 1: lowest income, HHI 5: more affluent]), lifestyle factors, comorbidities, and preventive care services (cardiometabolic, influenza vaccination, and cancer screening). Descriptive statistics, bivariate analyses and multilevel models (level 1: citizen, level 2: country) were performed.

RESULTS

242,212 subjects were included, 53.7% were female. The proportion of subjects who received any cardiometabolic screening (92.4%) was greater than cancer screening (colorectal cancer: 44.1%, gynaecologic cancer: 40.0%) and influenza vaccination. Individuals who visited a GP in the last year were more prone to receive preventive care services (cardiometabolic screening: adjusted OR (aOR): 7.78, 95% CI: 7.43-8.15; colorectal screening aOR: 1.87, 95% CI: 1.80-1.95; mammography aOR: 1.76, 95% CI: 1.69-1.83 and Pap smear test: aOR: 1.89, 95% CI:1.85-1.94). Among those who visited a GP in the last year, the highest ratios of cardiometabolic screening and cancer screening benefited those who were more affluent. Women underwent more blood pressure measurements than men regardless of the HHI. Men were more likely to undergo influenza vaccination than women regardless of the HHI. The highest differences between countries were observed for influenza vaccination, with a median odds ratio (MOR) of 6.36 (under 65 years with comorbidities) and 4.30 (over 65 years with comorbidities), followed by colorectal cancer screening with an MOR of 2.26.

CONCLUSIONS

Greater adherence to preventive services was linked to individuals who had visited a GP at least once in the past year. Disparities were evident among those with lower household incomes who visited a GP. The most significant variability among countries was observed in influenza vaccination and colorectal cancer screening.

Impact of Repeated Reimbursement Penalties on Hospital Total Quality Scores

OBJECTIVES

The incidence of hospital-acquired conditions (HACs) is a serious public health issue with implications ranging from patient morbidity and mortality to negative financial impacts on patients and health care systems. Despite substantial efforts to address and reduce HACs, research into the effect of quality improvement programs is inconclusive. This study seeks to better understand the relationship between repeated reimbursement penalties and improvement in HAC quality scores.

METHODS

A quantitative comparative analysis of U.S. health care data was conducted. Data on quality outcomes and hospital characteristics were sourced from the Hospital-Acquired Condition Reduction Program from fiscal years 2018 and 2019 and the Centers for Medicare & Medicaid Services Inpatient Prospective Payment System impact files, respectively.

RESULTS

In total, 3123 U.S. hospitals were analyzed to compare differences between total HAC scores of hospitals with and without penalties in consecutive years. Hospitals with repeated penalties had significantly greater improvement in scores ( t497.262 = -13.00, P < 0.001), and the impact was greatest in small hospitals (<100 beds). Repeated penalties had a smaller impact on disproportionate share hospitals (Cohen d = 0.73). Among all hospitals, the effect of repeated penalties was large (Cohen d = 0.75).

CONCLUSIONS

This study suggests that repeated penalties can improve quality scores in U.S. hospitals. However, the effect may be exaggerated for smaller hospitals and those that serve patient populations with a relatively higher socioeconomic status. The reason disproportionate share hospitals did not show as much improvement as nondisproportionate hospitals may be because hospitals serving vulnerable populations often have fewer resources.

Family physicians' moral distress when caring for patients experiencing social inequities: a critical narrative inquiry in primary care

BACKGROUND

Family physicians (GPs) working with patients experiencing social inequities have witnessed patients' healthcare needs proliferate. Alongside increased workload demands fostered within current remuneration structures, this has generated concerning reports of family physician attrition and possible experiences of moral distress.

AIM

To explore stories of moral distress shared by family physicians caring for patients experiencing health needs related to social inequities.

DESIGN AND SETTING

A critical narrative inquiry, informed by the analytic lens of moral distress, conducted in Ontario, Canada.

METHOD

Twenty family physicians were recruited through purposive and snowball sampling via word of mouth and email mailing lists relevant to addictions and mental health care. Physicians participated in two narrative interviews and had the opportunity to review the interview transcripts.

RESULTS

Family physicians' accounts of moral distress were linked to policies governing physician remuneration, scope of practice, and the availability of social welfare programmes. These structural elements left physicians unable to get patients much needed support and resources.

CONCLUSION

This study provides evidence that physicians experience moral distress when unable to offer crucial resources to improve the health of patients with complex social needs resulting from structural features of the Canadian health and social welfare system. Further research is needed to critically interrogate how health and social welfare systems around the world can be reformed to improve the health of patients and increase family physicians' professional quality of life, potentially improving retention.

Identifying Unmet Social Needs in a Patient Living in Isolation: A Case Report

Loneliness and social isolation are common among older adults. To deliver high-quality care to older patients, healthcare professionals should know the social conditions of their patients. Addressing social determinants of health (SDH) in daily practice is beneficial to both patients and healthcare professionals. We illustrate a patient with congestive heart failure and cognitive decline whose social conditions improved through an SDH assessment. An SDH assessment has some potential advantages, which include facilitating a comprehensive understanding of patients' social conditions, visualizing how patients' social conditions have changed, deepening interprofessional collaboration, and ameliorating unnecessary negative emotions toward patients. This case report conveys two key messages. Firstly, healthcare professionals have the capability to evaluate patients' social backgrounds and enhance their health and social conditions through routine care. Secondly, the utilization of an SDH screening toolkit can support and enhance this initiative.

Clinical and Organizational Nursing Innovations in Primary Care: Findings From a Stakeholders' Symposium

Nursing innovations in primary care, based on interprofessional care models, could be better identified, recognized, and deployed. This article presents the results of a symposium discussing the implementation of nursing innovations in primary care in Quebec, Canada, in partnership with researchers and stakeholders. Built on the appreciative inquiry approach, 9 nursing innovations were described. To support the implementation of such nursing innovations responding to current primary care issues and population needs, 4 recommendations emerged: the need to implement strategies to achieve optimal scope of practice for primary care nurses; the importance to develop funding and organizational models that support primary care nursing innovation; the need to enhance a collaborative and democratic governance open to innovation; and the opportunity to create partnerships with the research community and teaching institutions.

Screening for the social determinants of health: Referring patients to community-based services

BACKGROUND

Screening patients for the social determinants of health (SDOH) allows clinicians to identify those needs and tailor referral efforts. Due to constraints on clinic time and monetary resources, a simple screening tool incorporated into existing clinic workflow increases its usefulness and impact.

LOCAL PROBLEM

Our free, nurse-led, mobile health clinic (MHC) needed an enhanced process or tool for screening patients for SDOH. The purpose of this quality-improvement project was to screen adult patients in the MHC for SDOH needs and to increase volunteer staff perceptions of their knowledge and confidence in referring patients to relevant community-based services.

METHODS

A screening process and tool was developed using guidelines from the Health Leads to identify patients' SDOH needs and related requests for assistance. The tool was introduced to and tested among volunteer staff through pretest/posttest surveys.

INTERVENTIONS

Patients who visited the clinic were screened for the SDOH within the project period, and volunteer staff were surveyed about their perceptions of the screening tool.

RESULTS

Sixty-four patients were screened for SDOH needs. Twenty-three percent reported food insecurity, 27% housing insecurity, 14% difficulty obtaining utilities, and 17% difficulty obtaining transportation; 28% requested assistance with their reported SDOH needs. Seventeen percent of patients reported two or more SDOH needs. At posttest, 100% of volunteer staff ( N = 9) indicated satisfaction with the SDOH screening questions, reported feeling knowledgeable about resources to use for patient referrals, and were confident in referring patients to needed resources.

CONCLUSION

The screening tool aptly guided practice and was evaluated as "easy to use" for clinic patients and volunteer staff.

Investigating social determinants of child health and their implications in reducing pediatric traumatic injury: A framework and 17-year retrospective case-control study protocol

INTRODUCTION

Traumatic physical injuries are the number one cause of hospitalization and death among children in Canada. The majority of these injuries are preventable. The burden from injury can be reduced through prevention programs tailored to at-risk groups, however, existing research does not provide a strong explanation of how social factors influence a child's risk of injury. We propose a theoretical framework to better understand social factors and injury in children and will examine the association between these social factors and physical traumatic injury in children using large population-wide data.

METHODS AND ANALYSIS

We will examine data from 11,000 children hospitalized for traumatic physical injury and 55,000 matched uninjured children by linking longitudinal administrative and clinical data contained at the Manitoba Centre for Health Policy. We will examine 14 social determinants of child health measures from our theoretical framework, including receipt of income assistance, rural/urban status, socioeconomic status, children in care, child mental disorder, and parental factors (involvement with criminal justice system, education, social housing, immigration status, high residential mobility, mother's age at first birth, maternal Axis I mental disorder, maternal Axis II mental disorder and maternal physical disorder) to identify groups and periods of time when children are at greatest risk for traumatic physical injury. A conditional multivariable logistic regression model will be calculated (including all social determinant measures) to determine odds ratios and adjusted odds ratios (95% confidence interval) for cases (injured) and controls (non-injured).

ETHICS AND DISSEMINATION

Health Information Privacy Committee (HIPC No. 2017/2018-75) and local ethics approval (H2018-123) were obtained. Once social measures have been identified through statistical modelling, we will determine how they fit into a Haddon matrix to identify appropriate areas for intervention. Knowing these risk factors will guide decision-makers and health policy.

Development of an individual index of social vulnerability that predicts negative healthcare events: a proposed tool to address healthcare equity in primary care research and practice

PURPOSE

Socially disadvantaged patients may lack self-efficacy to navigate a complex health system making them vulnerable to healthcare inequity. We aimed to develop an Index of social vulnerability that predicts increased risk of negative healthcare events (e.g. emergency hospitalization), independent of chronic disease burden. The analysis illustrates the conceptual and practical steps leading to the development of a pragmatic Index of social vulnerability to limited healthcare self-efficacy.

METHODS

Using data from a 3-year cohort of 2507 adult primary care patients in Québec (Canada), we applied two complementary structural equation modelling approaches-Partial Least Squares Path Modelling (PLS-PM) and Multiple indicators and Multiple Causes (MIMIC) modelling-to identify a minimal set of social characteristics that could be summed into an Index related to limited healthcare self-efficacy. We then used logistic regression to determine if the Index predicted: hospital emergency department use; hospital admissions; unmet need for care, and others. We privileged parsimony over explanatory capacity in our analytic decisions to make the Index pragmatic for epidemiologic and clinical use.

RESULTS

The Individual Social Vulnerability Index is the weighted sum of five indicators: two indicators of social support; educational achievement; financial status; limited language proficiency. The Index predicts increased likelihood of all negative healthcare outcomes except unmet need, with a clear threshold at Index ≥ 2. The effect is independent of chronic disease burden.

CONCLUSION

When social deficits outweigh social assets by two or more (Index ≥ 2), there is an increased risk of negative healthcare events beyond the risk attributable to poor health. The Index is a pragmatic tool to identify a minority of patients who will require additional support to receive equitable healthcare.

Comparing risk prediction models aimed at predicting hospitalizations for adverse drug events in community dwelling older adults: a protocol paper

Background

The objective of this paper is to describe the creation, validation, and comparison of two risk prediction modeling approaches for community-dwelling older adults to identify individuals at highest risk for adverse drug event-related hospitalizations. One approach will use traditional statistical methods, the second will use a machine learning approach.

Methods

We will construct medication, clinical, health care utilization, and other variables known to be associated with adverse drug event-related hospitalizations. To create the cohort, we will include older adults (≥ 65 years of age) empaneled to a primary care physician within the Cedars-Sinai Health System primary care clinics with polypharmacy (≥ 5 medications) or at least 1 medication commonly implicated in ADEs (certain oral hypoglycemics, anti-coagulants, anti-platelets, and insulins). We will use a Fine-Gray Cox proportional hazards model for one risk modeling approach and DataRobot, a data science and analytics platform, to run and compare several widely used supervised machine learning algorithms, including Random Forest, Support Vector Machine, Extreme Gradient Boosting (XGBoost), Decision Tree, Naïve Bayes, and K-Nearest Neighbors. We will use a variety of metrics to compare model performance and to assess the risk of algorithmic bias.

Discussion

In conclusion, we hope to develop a pragmatic model that can be implemented in the primary care setting to risk stratify older adults to further optimize medication management.

Patient and Staff Satisfaction and Experience While Transforming Health Center Systems

INTRODUCTION

Patient satisfaction and experience are important measures of overall quality of care. In 2017, the National Association of Community Health Centers (NACHC) launched an initiative to facilitate changes across organizational systems within Federally Qualified Health Centers (FQHCs) with the goal of improving value-driven care.

METHODS

NACHC worked with eight health centers, four in Georgia and four in Iowa, along with their state Primary Care Associations, to apply the Value Transformation Framework (VTF). This framework distills evidence-based practices into practical knowledge for goal-driven systems change. It provides actionable steps to help health centers reach value-driven goals of improved health outcomes, improved patient and staff experience, reduced costs, and improved equity (referred to as the Quintuple Aim goals). This paper reports on the patient and staff experience when applying VTF systems changes to improve colorectal cancer screening rates.

RESULTS

Patient and staff satisfaction and experience remained highly rated even after extensive organizational changes were implemented as part of this project. Implementation of a systems-approach to organizational change, through application of the VTF, did not negatively impact patient or staff experiences.

CONCLUSION

Patient and staff satisfaction and experience were positive despite the application of the VTF and systems-wide organizational changes. These experience results were alongside improved cancer screening rates, as observed from full project results. Investigators are encouraged that the application of systems change using the VTF may result in the achievement of Quintuple Aim goals without disrupting the experience of patients and staff. Investigators recommend continued exploration of this transformation approach.

Assessing Alignment of Patient and Clinician Perspectives on Community Health Resources for Chronic Disease Management

Addressing social determinants of health (SDoH) is associated with improved clinical outcomes for patients with chronic diseases in safety-net settings. This qualitative study supplemented by descriptive quantitative analysis investigates the degree of alignment between patient and clinicians’ perceptions of SDoH resources and referrals in clinics within the public healthcare delivery system in San Francisco. We conducted a qualitative analysis of in-depth interviews, patient-led neighborhood tours, and in-person clinic visit observations with 10 patients and 7 primary care clinicians. Using a convergent parallel mixed methodology, we also completed a descriptive quantitative analysis comparing the categories of neighborhood health resources mentioned by patients or community leaders to the resources integrated into the electronic health record. We found that patients held a wealth of knowledge about neighborhood resources relevant to SDoH that were highly localized and specific to their communities. In addition, multiple stakeholders were involved in conducting SDoH screenings and referrals, including clinicians, system navigators such as case workers, and community-based organizations. Yet, the information flow between these stakeholders and patients lacked systematization, and the prioritization of social needs by patients and clinicians was misaligned, as represented by qualitative themes as well as quantitative differences in resource category distribution analysis (p < 0.001). Our results shed light upon opportunities for strengthening social care delivery in safety-net healthcare settings by improving patient engagement, clinic workflow, EHR engagement, and resource dissemination.

Impacts of a medical-legal partnership on clinical capacity to address social determinants of health

BACKGROUND

Social determinants of health (SDOHs) impacts on an individual's health outcomes have become more evident, and clinical providers are vital in helping patients address those needs. Providers are experiencing high-stress levels related to patient care, resulting in a diminished capacity to address these SDOHs. This study examines the impact of a medical-legal partnership (MLP) on the clinical capacity to assist providers with addressing SDOH needs and reducing clinician stress.

METHODS

A 16-question survey was emailed to 532 providers in a local health system. The survey assessed clinicians' perception of their role in addressing SDOH needs, the MLP's impact on their clinical capacity and the MLP's ability to remedy patient SDOH needs.

RESULTS

Providers who have referred to the MLP indicated higher levels of agreement that SDOH screenings were part of their clinical responsibility and had higher levels of agreement regarding comfort levels for completing SDOH screenings. Geriatric providers reported higher levels of agreement that the MLP reduced clinician stress than paediatric providers.

CONCLUSION

MLPs have the potential to reduce clinician stress and burnout by standing in the gap to assist providers in addressing their patient's SDOH needs.

Healthcare Access in Rural Alabama: Patients' Perspective on Access and Utilization

OBJECTIVES

Increasing healthcare access is a Healthy People 2030 priority. This study examined healthcare access from the residents' perspective in the two most rural counties in the United States and compared the findings with data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS) in rural and urban counties in Alabama.

METHODS

We conducted an in-person population-based survey using cluster sampling within census tracts assessing health insurance coverage, having a usual primary care provider, having had a routine healthcare visit within the past year, and barriers to care.

RESULTS

Among the 395 participants, 81.4% indicated having health insurance coverage, which was slightly lower than the BRFSS data for rural (87.6%) and urban counties in Alabama (87%); 89.6% of respondents indicated having a usual primary care provider compared with 84.3% of rural and 77.2% of urban residents; and 83.2% of participants indicated having had a routine healthcare visit in the last year compared with 77.3% of rural and 77.6% of urban residents. These indicators varied significantly across age, sex, and educational attainment and were consistent with BRFSS findings.

CONCLUSIONS

Healthcare access, as indicated by health insurance coverage and healthcare utilization, among residents in the two most rural US counties is comparable to access among rural and urban Alabamians. Primary care is a highly used resource in rural areas, and further research should characterize other social/behavioral factors that may explain the poor health outcomes seen in rural areas. In addition, BRFSS data continue to offer a reliable picture of healthcare access in rural areas.

Examining the Association of Food Insecurity and Being Up-to-Date for Breast and Colorectal Cancer Screenings

BACKGROUND

Food insecurity (FI) has been associated with poor access to health care. It is unclear whether this association is beyond that predicted by income, education, and health insurance. FI may serve as a target for intervention given the many programs designed to ameliorate FI. We examined the association of FI with being up-to-date to colorectal cancer and breast cancer screening guidelines.

METHODS

Nine NCI-designated cancer centers surveyed adults in their catchment areas using demographic items and a two-item FI questionnaire. For the colorectal cancer screening sample (n = 4,816), adults ages 50-75 years who reported having a stool test in the past year or a colonoscopy in the past 10 years were considered up-to-date. For the breast cancer screening sample (n = 2,449), female participants ages 50-74 years who reported having a mammogram in the past 2 years were up-to-date. We used logistic regression to examine the association between colorectal cancer or breast cancer screening status and FI, adjusting for race/ethnicity, income, education, health insurance, and other sociodemographic covariates.

RESULTS

The prevalence of FI was 18.2% and 21.6% among colorectal cancer and breast cancer screening participants, respectively. For screenings, 25.6% of colorectal cancer and 34.1% of breast cancer participants were not up-to-date. In two separate adjusted models, FI was significantly associated with lower odds of being up-to-date with colorectal cancer screening [OR, 0.7; 95% confidence interval (CI), 0.5-0.99)] and breast cancer screening (OR, 0.6; 95% CI, 0.4-0.96).

CONCLUSIONS

FI was inversely associated with being up-to-date for colorectal cancer and breast cancer screening.

IMPACT

Future studies should combine FI and cancer screening interventions to improve screening rates.

Associations among social needs, health and healthcare utilization, and desire for navigation services among US Medicaid beneficiaries with type 2 diabetes

The purpose of this study was to better understand the number and types of social needs experienced by Medicaid beneficiaries with type 2 diabetes, and how their social needs are associated with key health indicators. Also examined were factors that influence patients' interest in navigation services for health and social needs to inform future interventions and service delivery. The study expands upon prior research, much of which has focused on only one social need (e.g., food insecurity) or one health outcome. The hypothesis was that among individuals with type 2 diabetes, those with a greater number of social needs would report more health-related problems and be more interested in receiving social needs navigation services. Participants completed a cross-sectional survey by phone (n = 95) or online (n = 14). Most (85%) reported having at least one social need (M = 2.5, SD = 2.2), most commonly not having enough money for unexpected expenses (68%) or necessities like food, shelter and clothing (31%), medical costs (24%), and utilities (23%). Results supported our comprehensive conceptual model. Having more social needs was associated with greater perceived stress, diabetes distress, problems with sleep and executive and cognitive functioning, less frequent diabetes self-care activities, more days of poor mental health and activity limitations, worse self-reported health and more hospitalisations. Number of social needs also was positively associated with interest in having a social needs navigator. Social needs were not associated with days of poor physical health, BMI, self-reported A1C or smoking status. Social needs were associated with a wide range of indicators of poor health and well-being. Participants with the greatest social need burden were most open to intervention.

A Scoping Review and Narrative Synthesis Comparing the Constructs of Social Determinants of Health and Social Determinants of Mental Health: Matryoshka or Two Independent Constructs?

Background

Many health research policies invoke the construct of Social Determinants of Health, and more recently the construct of Social Determinants of Mental Health. While frequently referred to in the literature, it is unclear how these constructs relate to each other. Some commentators conceptualise the Determinants of Mental Health as a subgroup of the Determinants of general Health and others describe the Determinants of Mental Health as an autonomous construct. The current review investigates the relationship between both constructs.

Methods

Comprehensive literature searches were conducted for both constructs separately within seven electronic databases. A template analysis was conducted to compare the conceptualisations of the Social Determinants of Health and the Social Determinants of Mental Health.

Results

Of 4250 search results, 50 papers (25 for each construct) fulfilled our inclusion criteria and were incorporated into a narrative synthesis. Discussions of the Social Determinants of both general and Mental Health listed the same determinants. Both constructs were conceptualised on multiple levels and factors. Stress and health behaviour were also described as mediators for both constructs. The constructs differed, however, with respect to two components of their aetiologies and epistemologies. First, the causal mechanisms invoked for the Determinants of general Health followed predominantly direct pathways, in contrast to indirect pathways for the Social Determinants of Mental Health. Second, the Social Determinants of Mental Health were reported to influence mental health mediated through individuals' perceptions and appraisal processes. Appraisal processes were considered of far less relevance in the construct of Social Determinants of Health.

Conclusion

The constructs of Social Determinants of Health and Social Determinants of Mental Health align in many respects but differ on important aetiological and epistemological grounds. Similar social factors are considered important, but whereas physical health conditions are primarily conceptualised to be driven by objective realities, mental health is explained mainly in terms of perception of these realities. This differentiation between physical and mental health is in line with a modern understanding of mind-body-dualism, the naturalistic dualism after Chalmers. Differentiating the Social Determinants of Mental Health from the Social Determinants of Health might bear relevance for policy making and research.

Closing the loop: From system-based data to evidence-influenced policy and practice

For more than 30 years, the Manitoba Centre for Health Policy has been conducting research and evaluation to provide timely and critical evidence to answer real-world policy questions. Our experienced team of research scientists, analysts and other staff work extensively with policy-makers at the macro, meso and micro levels of government to support evidence-informed policy and program development in an effort to ensure that policy initiatives provide the greatest benefit possible to individuals and society as a whole. Using the widely recognized whole-population Manitoba Population Research Data Repository, which comprises approximately 100 different datasets from multiple sectors, we employ sophisticated and state-of-the-art research methods and data science technologies, and then translate the results into meaningful insights or recommendations for policy-makers. Our long and productive history of working with policy-makers has taught us much about making our research relevant to policy-makers. In this article, we outline some examples of how research evidence has been used to influence policy in Manitoba, and the key lessons we have learned about what makes relationships between researchers and policy-makers work. In essence, policy-makers have supported the growth of the Repository over the last 30 years, because researchers have "closed the loop" by sharing valuable and policy-relevant research results with them. This ability to inform policies, programs and service delivery with scientific evidence continues to benefit individuals, communities and our society as a whole.

A 10-Year Social Media Analysis Exploring Hospital Online Support of Black Lives Matter and the Black Community

IMPORTANCE

Tensions around COVID-19 and systemic racism have raised the question: are hospitals advocating for equity for their Black patients? It is imperative for hospitals to be supportive of the Black community and acknowledge themselves as safe spaces, run by clinicians and staff who care about social justice issues that impact the health of the Black community; without the expression of support, Black patients may perceive hospitals as uncaring and unsafe, potentially delaying or avoiding treatment, which can result in serious complications and death for those with COVID-19.

OBJECTIVE

To explore how hospitals showed public-facing support for the Black community as measured through tweets about social equity or the Black Lives Matter (BLM) movement.

DESIGN, SETTING, AND PARTICIPANTS

Using a retrospective longitudinal cohort study design, tweets from the top 100 ranked hospitals were collected, starting with the most recent over a 10-year span, from May 3, 2009, to June 26, 2020. The date of the George Floyd killing, May 25, 2020, was investigated as a point of interest. Data were analyzed from June 11 to December 4, 2020.

MAIN OUTCOMES AND MEASURES

Tweets were manually identified based on 4 categories: BLM, associated with the BLM movement; Black support, expressed support for Black population within the hospital's community; Black health, pertained to health concerns specific to and the creation of health care for the Black community; or social justice, associated with general social justice terms that were too general to label as Black. If a tweet did not contain any hashtags from these categories, it remained unlabeled.

RESULTS

A total of 281 850 tweets from 90 unique social media accounts were collected. Each handle returned at least 1279 tweets, with 85 handles (94.4%) returning at least 3000 tweets. Tweet publication dates ranged from 2009 to 2020. A total of 274 tweets (0.097%) from 67 handles (74.4%) used a hashtag to support the BLM movement. Among the tweets labeled BLM, the first tweet was published in 2018 and only 4 tweets (1.5%) predated the killing of George Floyd. A similar trend of low signal observed was detected for the other categories (Black support: 244 tweets [0.086%] from 42 handles [46.7%] starting in 2013; Black health: 28 tweets [0.0099%] from 15 handles [16.7%] starting in 2018; social justice: 40 tweets [0.014%] from 21 handles [23.3%] starting in 2015).

CONCLUSIONS AND RELEVANCE

These findings reflect the low signal of tweets regarding the Black community and social justice in a generalized way across approximately 10 years of tweets for all the hospital handles within the data set. From 2009 to 2020, hospitals rarely engaged in issues pertaining to the Black community and if so, only within the last half of this time period. These later entrances into these discussions indicate that these discussions are relatively recent.

Call to Action: Addressing Social Determinants of Health in Pharmacy Practice

Social determinants of health (SDOH) are conditions in which individuals are born, live, work, learn, play, and age that affect health, risks, functioning, and outcomes. SDOH are recognized barriers to care, risk factors for certain diseases, and associated with poorer health outcomes. Screening for SDOH in physician practices and hospitals is reportedly low. The accessibility of pharmacists and established relationships with patients make pharmacy settings ideal for identifying and mitigating social needs. An evaluation of the impact of SDOH on health outcomes and opportunities for pharmacists to embed screening into practice is warranted.

Health Equity in Artificial Intelligence and Primary Care Research: Protocol for a Scoping Review

BACKGROUND

Though artificial intelligence (AI) has the potential to augment the patient-physician relationship in primary care, bias in intelligent health care systems has the potential to differentially impact vulnerable patient populations.

OBJECTIVE

The purpose of this scoping review is to summarize the extent to which AI systems in primary care examine the inherent bias toward or against vulnerable populations and appraise how these systems have mitigated the impact of such biases during their development.

METHODS

We will conduct a search update from an existing scoping review to identify studies on AI and primary care in the following databases: Medline-OVID, Embase, CINAHL, Cochrane Library, Web of Science, Scopus, IEEE Xplore, ACM Digital Library, MathSciNet, AAAI, and arXiv. Two screeners will independently review all abstracts, titles, and full-text articles. The team will extract data using a structured data extraction form and synthesize the results in accordance with PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines.

RESULTS

This review will provide an assessment of the current state of health care equity within AI for primary care. Specifically, we will identify the degree to which vulnerable patients have been included, assess how bias is interpreted and documented, and understand the extent to which harmful biases are addressed. As of October 2020, the scoping review is in the title- and abstract-screening stage. The results are expected to be submitted for publication in fall 2021.

CONCLUSIONS

AI applications in primary care are becoming an increasingly common tool in health care delivery and in preventative care efforts for underserved populations. This scoping review would potentially show the extent to which studies on AI in primary care employ a health equity lens and take steps to mitigate bias.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/27799.

Mobility and social deprivation on primary care utilisation among paediatric patients with asthma

OBJECTIVE

Asthma care is negatively impacted by neighbourhood social and environmental factors, and moving is associated with undesirable asthma outcomes. However, little is known about how movement into and living in areas of high deprivation relate to primary care use. We examined associations between neighbourhood characteristics, mobility and primary care utilisation of children with asthma to explore the relevance of these social factors in a primary care setting.

DESIGN

In this cohort study, we conducted negative binomial regression to examine the rates of primary care visits and annual influenza vaccination and logistic regression to study receipt of pneumococcal vaccination. All models were adjusted for patient-level covariates.

SETTING

We used data from community health centres in 15 OCHIN states.

PARTICIPANTS

The sample included 23 773 children with asthma aged 3-17 across neighbourhoods with different levels of social deprivation from 2012 to 2017. We conducted negative binomial regression to examine the rates of primary care visits and annual influenza vaccination and logistic regression to study receipt of pneumococcal vaccination. All models were adjusted for patient-level covariates.

RESULTS

Clinic visit rates were higher among children living in or moving to areas with higher deprivation than those living in areas with low deprivation (rate ratio (RR) 1.09, 95% CI 1.02 to 1.17; RR 1.05, 95% CI 1.00 to 1.11). Children moving across neighbourhoods with similarly high levels of deprivation had increased RRs of influenza vaccination (RR 1.13, 95% CI 1.03 to 1.23) than those who moved but stayed in neighbourhoods of low deprivation.

CONCLUSIONS

Movement into and living within areas of high deprivation is associated with more primary care use, and presumably greater opportunity to reduce undesirable asthma outcomes. These results highlight the need to attend to patient movement in primary care visits, and increase neighbourhood-targeted population management to improve equity and care for children with asthma.

Health Related Social Needs Among Chinese American Primary Care Patients During the COVID-19 Pandemic: Implications for Cancer Screening and Primary Care

Research Objective: Initiatives to address social determinants of health (SDOH) and measure health-related social needs (HRSN) within clinic settings are increasing. However, few have focused on the specific needs of Asian Americans (AA). We examine the prevalence of HRSN during a period spanning the COVID-19 pandemic to inform strategies to improve cancer screening and primary care among AA patients. Methods: We implemented a self-administered HRSN screening tool in English and Chinese, traditional (T) or simplified (S) text, within a hospital-affiliated, outpatient primary care practice predominantly serving AA in New Jersey. HRSN items included food insecurity, transportation barriers, utility needs, interpersonal violence, housing instability, immigration history, and neighborhood perceptions on cohesion and trust. We conducted medical chart reviews for a subset of participants to explore the relationship between HRSN and history of cancer screening. Results: Among 236 participants, most were Asian (74%), non-US born (79%), and privately insured (57%). One-third responded in Chinese (37%). Half reported having ≥1 HRSN. Interpersonal violence was high across all participants. Transportation needs were highest among Chinese-T participants, while food insecurity and housing instability were higher among Chinese-S participants. Lower-income patients had higher odds of having ≥2 HRSN (OR:2.53, 95% CI: 1.12, 5.98). Older age and public insurance/uninsured were significantly associated with low neighborhood perceptions. Conclusions: We observed higher than anticipated reports of HRSN among primary care patients in a suburban, hospital-affiliated practice serving AA. Low neighborhood perceptions, particularly among Chinese-S participants, highlight the importance of addressing broader SDOH among insured, suburban AA patients. These study findings inform the need to augment HRSN identification to adequately address social needs that impact health outcomes and life course experiences for Asian patients. As HRSN measuring efforts continue, and COVID-19's impact on the health of minority communities emerge, it will be critical to develop community-specific referral pathways to connect AA to resources for HRSN and continue to address more upstream social determinants of health for those who are disproportionately impacted.

Addressing Social Needs in Health Care Settings: Evidence, Challenges, and Opportunities for Public Health

There has been an explosion of interest in addressing social needs in health care settings. Some efforts, such as screening patients for social needs and connecting them to needed social services, are already in widespread practice. These and other major investments from the health care sector hint at the potential for new multisector collaborations to address social determinants of health and individual social needs. This article discusses the rapidly growing body of research describing the links between social needs and health and the impact of social needs interventions on health improvement, utilization, and costs. We also identify gaps in the knowledge base and implementation challenges to be overcome. We conclude that complementary partnerships among the health care, public health, and social services sectors can build on current momentum to strengthen social safety net policies, modernize social services, and reshape resource allocation to address social determinants of health.

Reasons for poor blood pressure control in Eastern Sub-Saharan Africa: looking into 4P's (primary care, professional, patient, and public health policy) for improving blood pressure control: a scoping review

AIM

Hypertension control in Sub-Saharan Africa (SSA) is the worst (less than one out of ten) when compared to the rest of the world. Therefore, this scoping review was conducted to identify and describe the possible reasons for poor blood pressure (BP) control based on 4Ps' (patient, professional, primary healthcare system, and public health policy) factors.

METHODS

PRISMA extension for scoping review protocol was used. We systematically searched articles written in the English language from January 2000 to May 2020 from the following databases: PubMed/Medline, Embase, Scopus, Web of Science, and Google scholar.

RESULTS

Sixty-eight articles were included in this scoping review. The mean prevalence of hypertension, BP control, and patient adherence to prescribed medicines were 20.95%, 11.5%, and 60%, respectively. Only Kenya, Malawi, and Zambia out of ten countries started annual screening of the high-risk population for hypertension. Reasons for nonadherence to prescribed medicines were lack of awareness, lack of access to medicines and health services, professional inertia to intensify drugs, lack of knowledge on evidence-based guidelines, insufficient government commitment, and specific health behaviors related laws. Lack of screening for high-risk patients, non-treatment adherence, weak political commitment, poverty, maternal and child malnutrition were reasons for the worst BP control.

CONCLUSION

In conclusion, the rate of BP treatment, control, and medication adherence was low in Eastern SSA. Screening for high-risk populations was inadequate. Therefore, it is crucial to improve government commitment, patient awareness, and access to medicines, design country-specific annual screening programs, and empower clinicians to follow individualized treatment and conduct medication adherence research using more robust tools.

Engagement of nurse practitioners in primary health care in northern British Columbia: a mixed-methods study

BACKGROUND

Nurse practitioners (NPs) have been regulated primary care providers in British Columbia since 2005; however, many practices and contributions of NPs, especially those in northern or rural regions, remain unarticulated in primary health care. The objective of this study was to evaluate NP practices in the context of providing primary health care in northern BC.

METHODS

This was a qualitative-dominant mixed-methods study. We recruited NP participants working in northern BC; recruitment and data collection occurred between April and June 2018. Participants completed the validated 28-item Primary Health Care Engagement (PHCE) Scale to assess their perceptions of their workplace with 8 attributes of primary health care (quality improvement, community participation, patient-centred care, accessibility, intersectoral team, interdisciplinary collaboration, continuity and population orientation). We also interviewed NPs about their everyday practice. Transcribed data from the interviews were analyzed interpretively.

RESULTS

In total, 13 of 30 (43%) eligible NPs participated in the survey and interview. The PHCE Scale results showed that all NPs perceived their workplaces to be highly engaged in patient-centred care, but none reported their workplaces as accessible. Interview data were organized into 5 headings which described how NPs see patients who are medically and socially complex, address inequities in access, practice collaboratively, address local service gaps and improve patient abilities to access care.

INTERPRETATION

In interprofessional primary health care teams, NPs are key members and attend to both direct patient care and broader social conditions affecting health. Nurse practitioners can help accelerate advancements to deliver responsive community-based primary health care.

Specialized primary care medical home: A positive impact on continuity of care among autistic adults

LAY ABSTRACT

There is a nationally recognized need for innovative healthcare delivery models to improve care continuity for autistic adults as they age out of pediatric and into adult healthcare systems. One possible model of care delivery is called the "medical home". The medical home is not a residential home, but a system where a patient's healthcare is coordinated through a primary care physician to ensure necessary care is received when and where the patient needs it. We compared the continuity of care among autistic adult patients at a specialized primary care medical home designed to remove barriers to care for autistic adults, called the CAST, to matched national samples of autistic adults with private insurance or Medicare. Continuity of primary care among CAST patients was significantly better than that of matched national samples of autistic adult Medicare beneficiaries and similar to that of privately insured autistic adults. Our findings suggest that medical homes, like CAST, are a promising solution to improve healthcare delivery for the growing population of autistic adults.

Factors associated with service user embracement by Primary Health Care teams in Brazil, 2012: a cross-sectional study

OBJECTIVE

To evaluate prevalence and factors associated with service user embracement by Primary Health Care teams in Brazil.

METHODS

This is a cross-sectional study that included teams that took part in the 2012 National Program for Primary Health Care Access and Quality Improvement (PMAQ-AB) (Cycle I). The outcome used was 'user embracement by the health team'. The independent variables were macro-region, municipal profile, Gini index and Family Health Strategy population coverage, team meetings, study of spontaneous demand, consideration of user opinions and existence of continuing education. Multilevel Poisson regression analysis was performed.

RESULTS

The sample consisted of 13,751 teams. User embracement prevalence was 78.3% (95%CI 77.6;79.1). In the hierarchical analysis, the highest prevalence of user embracement was found among Southern region teams (PR=1.37 - 95%CI 1.27;1.48) taking the Northeast region as a reference.

CONCLUSION

There is an uneven distribution of Primary Care teams practicing user embracement in Brazil, possibly associated with regional inequalities.

Social Complexity and Risk for Pediatric Burn Injury: A Systematic Review

Social complexity in health outcomes has been attributed to greater risk of injury, adverse health consequences, and early death in a variety of populations. To determine what social complexity factors associated with burn injury in children, a systematic review of the literature was performed. Two different databases (PubMed and SCOPUS) were searched for articles related to environmental and social determinants of burn injury. Selected literature examined social complexity factors to establish the strength of evidence in relation to incidence of burn injury in children. The extent of factors and the most common social complexities were reviewed. The 641 manuscripts found in PubMed and 327 from SCOPUS were initially reviewed for duplication and English language. Subsequently, manuscripts were selected for relevance based on titles followed by abstracts. Forty-seven manuscripts were reviewed in their entirety. The literature supports a relationship between an increased incidence of pediatric burns in lower income families, children with behavioral disorders, fewer years of parental education and children residing in a rural setting. The majority of reports came from Europe followed by Australia, and scattered information from other countries. Social complexity factors in the environment of the child are associated with an increased risk of burn injury in children. The literature supports the influence of lower income, lower parental education, behavioral disorders and living rurally with an increased incidence of injury. By identifying children at increased risk, it is possible to develop targeted burn prevention and education programs to mitigate burn injury.

Unmet social needs among low-income adults in the United States: Associations with health care access and quality

OBJECTIVE

To describe social needs among low-income adults and estimate the relationship between level of unmet social needs and key indicators of health care access and quality.

DATA SOURCE

National survey data from 12 states from the 2017 Behavioral Risk Factor Surveillance System, which added a "Social Determinants of Health" Module in 2017.

STUDY DESIGN

We examined differences in eight measures of health care access and quality (eg, check-up in last 12 months, inability to see doctor due to cost, receipt of eye examination for diabetics) for low-income adults with 0, 1, 2-3, and 4+ unmet social needs based on 7 social needs measures. We used adjusted logistic regression models to estimate the association between level of unmet need and each outcome.

PRINCIPAL FINDINGS

Most common unmet social needs included not having enough money for balanced meals (33 percent) or food (32 percent). After adjusting for observable characteristics, higher levels of unmet social need were associated with poorer access and quality. Compared to those with no reported unmet needs, having 4+ unmet needs was significantly associated with reduced probability of having a yearly check-up (65 percent vs 78 percent, adjusted difference = -7.1 percentage points (PP)), receiving a flu vaccine (33 percent vs 42 percent, adjusted difference = -5.4 PP), having a personal doctor (74 percent vs 80 percent, adjusted difference = -3.1 PP), and having a foot (63 percent vs 80 percent, adjusted difference = -12.8 PP) or eye examination (61 percent vs 73 percent, adjusted difference = -12.6 PP) for diabetic patients, and increased probability of being unable to see a doctor due to cost (44 percent vs 9 percent, adjusted difference = 27.9 PP) and having diabetes affect the eyes (22 percent vs 19 percent, adjusted difference = 8.0 PP) at α = 0.05.

CONCLUSIONS

Higher levels of unmet social needs were associated with poorer access to and quality of care among low-income adults. Addressing social needs both inside and outside of health care settings may help mitigate these negative effects. Additional research on if and how to effectively do so is critical.

Disparities in surgical management of endometrial cancers in a public healthcare system: A question of equity

OBJECTIVE

Timely surgery has been shown to impact outcome in endometrial cancer patients. Social determinants of health (SDH) are associated with adverse cancer outcomes. We sought to evaluate the association of SDH with surgical treatment indicators in endometrial cancer patients in a public healthcare system.

METHODS

Endometrial cancer patients in Ontario, Canada, diagnosed between 2009 and 2017 were identified, and clinical, social and demographic variables were extracted from administrative databases. Validated community marginalization scores that include material deprivation, residential instability and ethnic concentration were used for stratification. Surgical treatment features were compared across marginalization quintiles using chi-square, Fischer exact or Wilcoxon rank sum tests as appropriate. Predictors of timely surgical treatment were evaluated with logistic regression.

RESULTS

20228 patients were identified of whom 14,423 had primary hysterectomy for a preoperative diagnosis of endometrial cancer. Fewer patients in marginalized communities received surgery (89% vs. 93%, p < 0.001). Surgical delay was longer among marginalized patients and 78% had surgery within 12 weeks compared to 84% of those least marginalized (p < 0.0001). Other quality indicators of surgical treatment were not negatively associated with marginalization. On multivariable analysis adjusted for patient and disease factors, marginalization was independently associated with increased odds of delayed surgery (OR = 0.94/quintile, CI 0.91-0.97, p < 0.001).

CONCLUSIONS

Social marginalization is associated with decreased likelihood of having surgery and with delayed surgery among endometrial cancer patients in Ontario. This may be mediated by delayed presentation and real or perceived barriers to access. Reducing surgical wait times among marginalized cancer patients is an important deliverable in public healthcare.

How Do Social Needs Cluster Among Low-Income Individuals?

Social needs screening in health care settings reveals that many low-income individuals have multiple unmet social needs at the same time. Having multiple simultaneous social needs greatly increases the odds of experiencing adverse health outcomes. To better understand how and which social needs cluster in these cases, the authors examined data from 14,749 low-income adults who completed a social needs assessment in one of 4 separate studies conducted between 2008 and 2019 in the United States. Participants were Medicaid beneficiaries, helpline callers, and daily smokers. Findings were strikingly consistent across the 4 studies. Participants with ≥2 social needs (n = 5621; 38% of total) experienced more stress, depressive symptoms, sleep problems, and chronic diseases and were more likely to rate their health as fair or poor. Social needs reflecting financial strain were highly correlated, such as needing help paying utility bills and needing money for necessities such as food, shelter, and clothing (r = .49 to .71 across studies). Participants experienced 351 distinct combinations of ≥2 social needs. The 10 most common combinations accounted for more than half of all participants with ≥2 needs. Clusters of social needs varied by subgroups. Women with children were more likely than others to need more space in their home and help paying utility bills; low-income men were more likely to be physically threatened and need a place to stay; older, sicker adults were more likely to need money for necessities and unexpected expenses, as well as transportation. Findings are discussed in the context of creating smarter, more efficient social needs interventions.

The Impact of a Community Resource Navigator Program on Patient Trust

BACKGROUND

Addressing patients' nonmedical needs has become a focal point in primary care research and practice. Programs such as the Center for Patient Partnerships' Community Resource Navigator Program address social determinants of health by connecting participants to community-based resources in an effort to ameliorate unmet social needs.

METHODS

Twenty-six interviews were conducted with program participants to assess improvements in social needs and trust with the health care system as a result of the program.

RESULTS

Program participants reported increased trust in their provider or health system, improved health, and confidence in self-advocacy.

DISCUSSION

Findings suggest that in addition to providing crucial support to address participants' unmet social needs, navigation programs have the added benefit of enhancing their relationship with the clinic and health system.

Access to cancer care in northwestern Ontario-a population-based study using administrative data

Background

Despite universal access to health care in Canada, there are disparities relating to social determinants of health that contribute to discrepancies between rural and urban areas in cancer incidence and outcomes. Given that Canada has one of the highest-quality national population-based cancer registry systems in the world and that little information is available about cancer statistics specific to northwestern Ontario, the purpose of the present study was to estimate the percentage of cancer patients without documentation of a specialist consultation (medical or radiation oncology consultation) and to determine factors that affect access to specialist consultation in northwestern Ontario.

Methods

This population-based retrospective study used administrative data obtained through the Ontario Cancer Data Linkage Project. For each index case, a timeline was constructed of all Ontario Health Insurance Plan billing codes and associated service dates, starting with the primary cancer diagnosis and ending with death. Specific factors affecting access to specialist consultation were assessed.

Results

Within the 6-year study period (2010-2016), 2583 index cases were identified. Most (n = 2007, 78%) received a specialist consultation. Factors associated with not receiving a specialist consultation included older age [p < 0.0001; odds ratio (or): 0.29; 95% confidence interval (ci): 0.19 to 0.44] and rural residence (p < 0.0001; or: 0.48; 95% ci: 0.48 to 0.72). Factors associated with receiving a specialist consultation included a longer timeline (p < 0.0001; or: 1.32; 95% ci: 1.19 to 1.46), a diagnosis of breast cancer (p < 0.0001; or: 2.51; 95% ci: 1.43 to 4.42), and a diagnosis of lung cancer (p < 0.0001; or: 1.77; 95% ci: 1.38 to 2.26).

Conclusions

This study is the first to look at care access in northwestern Ontario. The complexity and multidisciplinary nature of cancer care makes the provision of appropriate care a challenge; a one-size-fits-all disease prevention and treatment strategy might not be appropriate.

Social Determinants Associated with Pediatric Burn Injury: A Population-Based, Case-Control Study

Social determinants of health (SDoH) influence risk of injury. We conducted a population-based, case-control study to identify which social determinants influence burn injury in children. Children (≤16 years of age) admitted to a Canadian regional burn center between January 1, 1999 and March 30, 2017 were matched based on age, sex, and geographic location 1:5 with an uninjured control cohort from the general population. Population-level administrative data describing the SDoH at the Manitoba Center for Health Policy (MCHP) were compared between the cohorts. Specific SDoH were chosen based on a published systematic review conducted by the research team. In the final multivariable model, children from a low-income household odds ratio (OR) (95% confidence interval) 1.97 (1.46, 2.65), in care 1.57 (1.11, 2.21), from a family that received income assistance 1.71 (1.33, 2.19) and born to a teen mother 1.43 (1.13, 1.81) were significantly associated with an increased risk of pediatric burn injury. This study identified SDoH that are associated with an increased risk of burn injury. This case-control study supports the finding that children from a low-income household, children in care, from a family that received income assistance, and children born to a teen mother are at an elevated risk of burn injury. Identifying children at increased potential risk allows targeting of burn risk reduction and home safety programs.

Social Risks Among Primary Care Patients in a Large Urban Health System

INTRODUCTION

Health systems are increasingly interested in addressing the social determinants of health via social risk screening. The objective of this study is to understand the variability in the number and types of social risks overall and in population subgroups among primary care patients routinely screened in a large urban health system.

METHODS

Between April and December 2018, a total of 24,633 primary care patients completed a 10-item screener across 19 ambulatory sites within a health system in the Bronx, NY. The prevalence of any social risk and specific social risks was estimated overall and for population subgroups. Wald tests were used to determine statistically significant differences by subgroup. Data were analyzed in winter/spring 2019.

RESULTS

Twenty percent of patients presented with at least 1 social risk. The most frequently reported risks included housing quality (6.5%) and food insecurity (6.1%). Middle-aged (30-59 years) respondents (24.7%, 95% CI=23.6%, 25.7%) compared with those aged 18-29 years (17.7%, 95% CI=16.4%, 19.2%, p<0.001), and Medicaid patients (24.8%, 95% CI=24.0%, 25.5%) compared with commercially insured patients (11.8%, 95% CI=11.1%, 12.5%, p<0.001), were more likely to report social risks. The strongest predictor of housing quality risk was residing in public housing (15.1%, 95% CI=13.8%, 16.6%) compared with those not in public housing (5.6%, 95% CI=5.3%, 5.9%, p<0.001). Housing quality was the most frequently reported risk for children (aged <18 years) and older adults (aged ≥70 years), whereas, for middle-aged respondents (30-69 years), it was food insecurity.

CONCLUSIONS

There are important differences in the prevalence of overall and individual social risks by subgroup. These findings should be considered to inform clinical care and social risk screening and interventions.

Screening for Social Determinants of Health Among Children: Patients' Preferences for Receiving Information to Meet Social Needs and a Comparison of Screening Instruments

To characterize optimal strategies for screening for social determinants of health (SDOH) among children, the authors performed a cross-sectional study of parents and adolescents ages ≥13 years in a community health center. Participants were queried about how they prefer to receive information about social needs resources and 2 screening instruments were compared: Well Child Care, Evaluation, Community Resources, Advocacy, Referral, Education (WE CARE) and Accountable Health Communities (AHC). In July 2019, 154 parents and 21 adolescents were surveyed. Surveys were administered via tablet and required 5.6 minutes (standard deviation [SD] 3.9 minutes) for parents and 3.9 minutes (SD 1.4 minutes) for adolescents to complete. Parents identified technology (text message, email) and informational printouts as preferred mechanisms for information receipt (58% and 32% of participants, respectively); adolescents preferred text message (57%) and printouts (19%). Few (<10% overall) preferred in-person consultation with a care coordinator. Adolescent/parent pairs (n = 19 pairs) agreed, on average across SDOH, 82% of the time for WE CARE and 85% for AHC. AHC elicited more positive screens than WE CARE for housing insecurity (12% of parents versus 7%) and food insecurity (47% versus 16%) but fewer positive screens than WE CARE for difficulties paying for utilities (27% versus 39%). Routine screening for SDOH in children requires 2-3 minutes per screening instrument. Screening can target parents of young children and either adolescents themselves or their parents. Families prefer to receive information about meeting social needs via technologically-based methods as opposed to in-person consultation with enabling services providers.

Factors associated with PPSV23 coverage among older adults in Japan: a nationwide community-based survey

OBJECTIVES

The 23-valent pneumococcal polysaccharide vaccine (PPSV23) was included in Japan's national immunisation programme for older adults in 2014. While vaccination coverage has increased following the implementation of the national immunisation programme, little is known about the factors that have influenced changes in PPSV23 uptake in Japan. This study aimed to investigate the effects of municipality-level activities implemented to improve vaccine uptake during the fiscal year 2015 (April 2015-March 2016).

DESIGN

Community-based national survey. A postal and web-based nationwide survey was sent to all municipalities in Japan in June 2016 (n=1741). The survey included questions regarding PPSV23 coverage, out-of-pocket costs by individuals for vaccination and community-level activities implemented to improve and promote PPSV23 uptake. Municipality-level and prefecture-level variables (eg, unemployment rates, average per capita income) retrieved from published sources were also incorporated to explore the impact of social determinants on vaccine uptake.

SETTING

Japan.

PARTICIPANTS

Municipal vaccination officers.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary study outcome was PPSV23 coverage among adults aged 65 years in Japanese municipalities.

RESULTS

A total of 1010 municipalities (58.0%) responded to the survey. The median PPSV23 coverage among responding municipalities was 41.8%. Vaccine coverage increased by 18.7% (16.7%-20.7%)%) in municipalities that sent a direct mail notification to the target population of adults compared with municipalities that did not send any notification. Vaccine coverage decreased by 3.02% (2.4%-3.6%)%) for every 1000 JPY increase in out-of-pocket costs. Municipality-level unemployment rates and average per capita income were negatively associated with PPSV23 coverage.

CONCLUSIONS

This nationwide survey provides insight into factors that may influence PPSV23 coverage in Japanese municipalities. Reduced out-of-pocket costs and direct mail notifications to the target population were associated with higher PPSV23 coverage in Japanese municipalities.

Integrating social and behavioral determinants of health into patient care and population health at Veterans Health Administration: a conceptual framework and an assessment of available individual and population level data sources and evidence-based measurements

The premise of this project was that social and behavioral determinants of health (SBDH) affect the use of healthcare services and outcomes for patients in an integrated healthcare system such as the Veterans Health Administration (VHA), and thus individual patient level socio-behavioral factors in addition to the neighborhood characteristics and geographically linked factors could add information beyond medical factors mostly considered in clinical decision making, patient care, and population health. To help VHA better address SBDH risk factors for the veterans it cares for within its primary care clinics, we proposed a conceptual and analytic framework, a set of evidence-based measures, and their data source. The framework and recommended SBDH metrics can provide a road map for other primary care-centric healthcare organizations wishing to use health analytic tools to better understand how SBDH affect health outcomes.

Fostering Quality Improvement Capacity in a Network of Primary Care Practices Affiliated With a Pediatric Accountable Care Organization

Supplemental Digital Content is available in the text.

Objectives:

Quality improvement (QI) methodologies are not widely implemented in primary care practices. As an accountable care organization serving pediatric Medicaid recipients in Ohio, Partners For Kids (PFK) sought to build QI capacity in affiliated primary care practices to improve organizational performance on key quality measures.

Methods:

A team of QI specialists developed a comprehensive training program focused on pediatric QI initiatives. From 2014 to 2017, community-based, primary care practices affiliated with PFK were recruited to participate in QI. The primary outcome, assessed yearly, was the proportion of eligible PFK patients accessing care at a practice with ≥1 active QI project. The proportion of QI projects that demonstrated moderate improvement, defined as the implementation of ≥1 intervention and observed improvement in process measures, within 12 months of initiation was also calculated for 2017.

Results:

Over the study period, the PFK QI team supported 72 projects in 33 primary care practices throughout central and southeast Ohio. In 2017, 26 practices were engaged in ≥1 active QI project, reaching 26% of all eligible PFK patients. Of the 21 projects active as of January 2017, 11 (52%) showed moderate improvement within 12 months.

Conclusions:

The PFK QI team successfully supported QI capacity building in primary care practices throughout Ohio using a systematic approach to recruitment, training, and QI resource support. New, multilevel interventions are needed to promote the uptake of preventive services among patients.

The Next Generation of Diabetes Translation: A Path to Health Equity

Disparities in diabetes burden exist in large part because of the social determinants of health (SDOH). Translation research and practice addressing health equity in diabetes have generally focused on changing individual behavior or providing supportive approaches to compensate for, rather than directly target, SDOH. The purpose of this article is to propose a pathway for addressing SDOH as root causes of diabetes disparities and as an essential target for the next generation of interventions needed to achieve health equity in diabetes prevention and treatment. This review describes ( a) the current burden of diabetes disparities, ( b) the influence of SDOH on diabetes disparities, ( c) gaps in and implications of current translation research, and ( d) approaches to achieving health equity in the next generation of diabetes translation.