A Tale of Two Patients: Patient-Centered Approaches to Adherence as a Gateway to Reducing Disparities

Variability in 30-day major amputation rates following endovascular peripheral vascular intervention for critical limb ischemia

Introduction: Patients with critical limb ischemia (CLI) can undergo endovascular peripheral vascular intervention (PVI) to restore blood flow and decrease risk of amputation. As a potential indicator of quality for CLI care, we sought to describe 30-day major amputation rates following PVI. We also examined rate variability, and patient-level and site-level factors predicting amputations, using a national electronic health record (EHR) database. Methods: Using the Cerner Health Facts de-identified EHR database, patients with CLI diagnosis codes undergoing PVI were identified. The rate of amputation within 30 days of PVI was calculated. Risk ratios predicting amputation were derived using a mixed effects Poisson regression model adjusting for 16 patient and clinical factors. Median risk ratios (MRRs) were calculated to quantify site-level variability in amputations. Results: A total of 20,204 PVI procedures for CLI from 179 healthcare sites were identified. Mean age at procedure was 69.0 ± 12.6 years, 58.0% were male, and 29.6% were persons of color. Amputation within 30 days of PVI occurred after 570 (2.8%) procedures. Malnutrition, previous amputation, diabetes, and being of Black race were predictors of amputation. Amputation rates across sites ranged from 0.0% to 10.0%. The unadjusted MRR was 1.40 (95% CI 1.35-1.46), which was attenuated after adjusting for patient-level factors (MRR 1.30, 95% CI 1.26-1.34) and site characteristics (MRR 1.11, 95% CI 1.09-1.13). Conclusions: Among PVI procedures for CLI treatment, 30-day amputation rates varied across institutions. Although patient-level factors explained some variability, site-level factors explained most variation in the rates of these outcomes.

Racial and Ethnic Differences in the Management of Atrial Fibrillation

Atrial fibrillation (AF) is the most common clinical arrhythmia, and it results in adverse outcomes and increased healthcare costs. Racial and ethnic differences in AF management, although recognized, are poorly understood. This review summarizes racial differences in AF epidemiology, genetics, clinical presentation, and management. In addition, it highlights the underrepresentation of racial and ethnic populations in AF clinical trials, especially trials focused on stroke prevention. Specific strategies are proposed for future research and initiatives that have potential to eliminate racial and ethnic differences in the care of patients with AF. Addressing racial and ethnic disparities in healthcare access, enrollment in clinical trials, resource allocation, prevention, and management will likely narrow the gaps in the care and outcomes of racial and ethnic minorities suffering from AF.

Organizational Health Literacy: Opportunities for Patient-Centered Care in the Wake of COVID-19

BACKGROUND AND OBJECTIVES

The coronavirus disease-2019 (COVID-19) pandemic is transforming the health care sector. As health care organizations move from crisis mobilization to a new landscape of health and social needs, organizational health literacy offers practical building blocks to provide high-quality, efficient, and meaningful care to patients and their families. Organizational health literacy is defined by the Institute of Medicine as "the degree to which an organization implements policies, practices, and systems that make it easier for people to navigate, understand, and use information and services to take care of their health."

METHODS

This article synthesizes insights from organizational health literacy in the context of current major health care challenges and toward the goal of innovation in patient-centered care. We first provide a brief overview of the origins and outlines of organizational health literacy research and practice. Second, using an established patient-centered innovation framework, we show how the existing work on organizational health literacy can offer a menu of effective, patient-centered innovative options for care delivery systems to improve systems and outcomes. Finally, we consider the high value of management focusing on organizational health literacy efforts, specifically for patients in health care transitions and in the rapid transformation of care into myriad distance modalities.

RESULTS

This article provides practical guidance for systems and informs decisions around resource allocation and organizational priorities to best meet the needs of patient populations even in the face of financial and workforce disruption.

CONCLUSIONS

Organizational health literacy principles and guidelines provide a road map for promoting patient-centered care even in this time of crisis, change, and transformation. Health system leaders seeking innovative approaches can have access to well-established tool kits, guiding models, and materials toward many organizational health literacy goals across treatment, diagnosis, prevention, education, research, and outreach.

Addressing Social Determinants of Health Within Healthcare Delivery Systems: a Framework to Ground and Inform Health Outcomes

Social determinants of health (SDoH) are the conditions in which people live and work that shape access to essential social and economic resources. Calls for healthcare systems to intervene on unmet social needs have stimulated several large-scale initiatives across the country. Yet, such activities are underway in the absence of a unifying conceptual framework outlining the potential mechanisms by which healthcare-based unmet social need interventions can improve health outcomes. Drawing on theoretical foundations and empirical evidence about the relationship between unmet social needs and health, the authors developed the OASIS (Outcomes from Addressing SDoH in Systems) conceptual framework to map the known and hypothesized pathways by which unmet social need screening and referral interventions may impact outcomes. The OASIS framework may help guide policy makers, healthcare system leaders, clinicians, and researchers to utilize a more unified approach in their efforts to implement and evaluate unmet social need interventions and thus foster the development of an evidence base to inform healthcare systems to more effectively mitigate the consequences of unmet social needs. Adopting an overarching conceptual framework for addressing unmet social needs by healthcare systems holds promise for better achieving health equity and promoting health at the individual and population levels.

Implementing an EHR-based Screening and Referral System to Address Social Determinants of Health in Primary Care

BACKGROUND

Social determinants affect health, yet there are few systematic clinical strategies in primary care that leverage electronic health record (EHR) automation to facilitate screening for social needs and resource referrals. An EHR-based social determinants of health (SDOH) screening and referral model, adapted from the WE CARE model for pediatrics, was implemented in urban adult primary care.

OBJECTIVES

This study aimed to: (1) understand the burden of SDOH among patients at Boston Medical Center; and (2) evaluate the feasibility of implementing a systematic clinical strategy to screen new primary care patients for SDOH, use EHR technology to add these needs to the patient's chart through autogenerated ICD-10 codes, and print patient language-congruent referrals to available resources upon patient request.

RESEARCH DESIGN

This observational study assessed the number of patients who were screened to be positive and requested resources for social needs. In addition, we evaluated the feasibility of implementing our SDOH strategy by determining the proportion of: eligible patients screened, providers signing orders for positive patient screenings, and provider orders for resource referral guides among patients requesting resource connections.

RESULTS

In total, 1696 of 2420 (70%) eligible patients were screened. Employment (12%), food insecurity (11%), and problems affording medications (11%) were the most prevalent concerns among respondents. In total, 367 of 445 (82%) patients with ≥1 identified needs (excluding education) had the appropriate ICD-10 codes added to their visit diagnoses. In total, 325 of 376 (86%) patients who requested resources received a relevant resource referral guide.

CONCLUSIONS

Implementing a systematic clinical strategy in primary care using EHR workflows was successful in identifying and providing resource information to patients with SDOH needs.

Beyond Medication Adherence: The Role of Patients' Beliefs and Life Context in Blood Pressure Control

Objective

Despite numerous interventions to address adherence to antihypertensive medications, continued high rates of uncontrolled blood pressure (BP) suggest a need to better understand patient factors beyond adherence associated with BP control. We examined how patients' BP-related beliefs, and aspects of life context affect BP control, beyond medication adherence.

Methods

We conducted a cross-sectional telephone survey of primary care patients with hypertension between 2010 and 2011 (N=103; 93 had complete data on all variables and were included in the regression analyses). We assessed patient sociodemographics (including race/ethnicity), medication adherence, BP-related beliefs, aspects of life context, and used clinical BP assessments.

Results

Regression models including sociodemographics, medication adherence, and either beliefs or context consistently predicted BP control. Adding context after beliefs added no predictive value while adding beliefs after context significantly predicted BP control.

Practical Implications

Results suggest that when clinicians must choose a dimension on which to intervene, focusing on beliefs would be the most fruitful approach to effecting change in BP control.

Patient centeredness: The perspectives of uninsured primary care patients in the United States

Introduction

Patient-centered care has become increasingly important within the United States (US) healthcare system. Given that patient-centered care predicts patient satisfaction, health outcomes, and cost-effectiveness, it is of the utmost importance to study patient-centered care from the perspectives of marginalized populations including minorities, immigrants, and other underserved populations. The purpose of this study is to examine factors that affect underserved primary care patients’ perceptions of patient centeredness.

Methods

The data were cross-sectional and collected in Fall 2016. Free clinic patients (N = 723) completed a self-administered survey, which measures patient centeredness, patient involvement in care, and clinical empathy. Validated measures were part of the survey, and the internal consistency of scales was tested. The general linear model was performed to predict factors associated with patients’ perceptions of patient centeredness.

Results

Higher levels of perceived patient involvement in care and higher levels of perceived empathy in consultation are related to higher levels of patient centeredness. While better physical health is associated with higher levels of perceived empathy in consultation, high levels of emotional health and depression are not.

Conclusions

Patients’ perceptions of involvement and empathy are important factors for patient-centered care, although this study did not show causal directions among variables. Based on the findings of this study, it is recommended that future studies should focus on the following three points: (1) to develop and evaluate trainings for providers, (2) develop education classes for patients who utilize free clinics, (3) analyze how these programs affect patient-centered care and health outcomes.

FACETS: using open data to measure community social determinants of health

Objective

To develop a dataset based on open data sources reflective of community-level social determinants of health (SDH).

Materials and Methods

We created FACETS (Factors Affecting Communities and Enabling Targeted Services), an architecture that incorporates open data related to SDH into a single dataset mapped at the census-tract level for New York City.

Results

FACETS (https://github.com/mcantor2/FACETS) can be easily used to map individual addresses to their census-tract-level SDH. This dataset facilitates analysis across different determinants that are often not easily accessible.

Discussion

Wider access to open data from government agencies at the local, state, and national level would facilitate the aggregation and analysis of community-level determinants. Timeliness of updates to federal non-census data sources may limit their usefulness.

Conclusion

FACETS is an important first step in standardizing and compiling SDH-related data in an open architecture that can give context to a patient's condition and enable better decision-making when developing a plan of care.

Addressing the Social Needs of Hypertensive Patients: The Role of Patient-Provider Communication as a Predictor of Medication Adherence

BACKGROUND

Poor medication adherence is a pervasive problem in patients with hypertension. Despite research documenting an association between patient-provider communication and medication adherence, there are no empirical data on how the informational and relational aspects of communication affect patient's actual medication-taking behaviors. The aim of this study was to evaluate the impact of patient-provider communication on medication adherence among a sample of primary care providers and their black and white hypertensive patients.

METHODS AND RESULTS

Cohort study included 92 hypertensive patients and 27 providers in 3 safety-net primary care practices in New York City. Patient-provider encounters were audiotaped at baseline and coded using the Medical Interaction Process System. Medication adherence data were collected continuously during the 3-month study with an electronic monitoring device. The majority of patients were black, 58% women, and most were seeing the same provider for at least 1 year. Approximately half of providers were white (56%), 67% women, and have been in practice for an average of 5.8 years. Fifty-eight percent of patients exhibited poor adherence to prescribed antihypertensive medications. Three categories of patient-provider communication predicted poor medication adherence: lower patient centeredness (odds ratio: 3.08; 95% confidence interval: 1.04-9.12), less discussion about patients' sociodemographic circumstances (living situation, relationship with partner; odds ratio: 6.03; 95% confidence interval: 2.15-17), and about their antihypertensive medications (odds ratio: 6.48; 95% confidence interval: 1.83-23.0). The effect of having less discussion about patients' sociodemographic circumstances on medication adherence was heightened in black patients (odds ratio: 8.01; 95% confidence interval: 2.80-22.9).

CONCLUSIONS

The odds of poor medication adherence are greater when patient-provider interactions are low in patient centeredness and do not address patients' sociodemographic circumstances or their medication regimen.