The Construction and Meaning of Race Within Hypertension Guidelines: A Systematic Scoping Review.

BACKGROUND: Professional society guidelines are evidence-based recommendations intended to promote standardized care and improve health outcomes. Amid increased recognition of the role racism plays in shaping inequitable healthcare delivery, many researchers and practitioners have critiqued existing guidelines, particularly those that include race-based recommendations. Critiques highlight how racism influences the evidence that guidelines are based on and its interpretation. However, few have used a systematic methodology to examine race-based recommendations. This review examines hypertension guidelines, a condition affecting nearly half of all adults in the United States (US), to understand how guidelines reference and develop recommendations related to race. METHODS: A systematic scoping review of all professional guidelines on the management of essential hypertension published between 1977 and 2022 to examine the use and meaning of race categories. RESULTS: Of the 37 guidelines that met the inclusion criteria, we identified a total of 990 mentions of race categories. Black and African/African American were the predominant race categories referred to in guidelines (n = 409). Guideline authors used race in five key domains: describing the prevalence or etiology of hypertension; characterizing prior hypertension studies; describing hypertension interventions; social risk and social determinants of health; the complexity of race. Guideline authors largely used race categories as biological rather than social constructions. None of the guidelines discussed racism and the role it plays in perpetuating hypertension inequities. DISCUSSION: Hypertension guidelines largely refer to race as a distinct and natural category rather than confront the longstanding history of racism within and beyond the medical system. Normalizing race as a biological rather than social construct fails to address racism as a key determinant driving inequities in cardiovascular health. These changes are necessary to produce meaningful structural solutions that advance equity in hypertension education, research, and care delivery.

Self-Management Support Improves Diabetes Outcomes Without Exacerbating Inequities.

INTRODUCTION: Previous research has found an association between low health literacy and poor clinical outcomes in type 2 Diabetes Mellitus (T2DM) patients. We sought to determine if this association can be mitigated by a self-management support (SMS) program provided by trained health workers using a technology assisted menu driven program, called Connection to Health (CTH). METHODS: This study is a secondary analysis from a randomized trial of 2 similar versions of CTH implemented in 12 Northern California community health centers. As part of this, each participant completed a single validated question to assess health literacy. We used unadjusted and adjusted linear regression analyses to determine the extent to which baseline health literacy was predictive of prepost changes in hemoglobin A1c (HbA1c). RESULTS: Of 365 participants for whom prepost HbA1c data were available, HbA1c concentrations declined by an average of 0.76% (from 9.9% to 9.2%, 95% CI (0.53%-1.0%). Almost 114 (31.2%) of the participants had low health literacy, but there was no significant association between health literacy and the reduction in HbA1c concentrations in either the unadjusted or adjusted models, nor did baseline health literacy predict prepost changes in body mass index, medication adherence, exercise, or diet. DISCUSSION: The study found that implementing the CTH program in 2 versions via a randomized clinical trial improved HbA1c concentrations without increasing disparities between participants with high and low health literacy. This suggests CTH-like programs can enhance diabetes outcomes in community health centers without exacerbating inequities for those with low health literacy.

A Caregiver-Child Intervention for Mitigating Toxic Stress ("The Resiliency Clinic"): A Pilot Study.

INTRODUCTION: Primary care-based interventions that promote nurturing caregiving relationships and early relational health may help mitigate toxic stress and promote resilience in children. This pilot study aims to: (1) describe a novel group-based, psychoeducational primary care intervention for children experiencing adverse childhood experiences (ACEs) ("The Resiliency Clinic"), (2) assess program feasibility and acceptability, and (3) explore effects on child/caregiver behavioral health. METHODS: Intervention design centered on promoting supportive caregiving, caregiver/child self-regulation and co-regulation and teaching evidence-based stress management tools. Program feasibility and acceptability were assessed through attendance data and caregiver focus groups. Behavioral health measures were obtained at baseline and 8-month follow-up. RESULTS: Of 101 eligible families, 38 (37.6%) enrolled and attended a median of 3.00 (mean = 2.95, sd = 1.75) out of 6 sessions. Caregivers reported high satisfaction and benefits including stress management tools and connection with staff and other parents. There were modest, statistically non-significant improvements in caregiver stress (d = 0.23) and child executive functioning (d = 0.27). DISCUSSION: In conclusion, a group intervention teaching supportive caregiving and stress mitigation is feasible and acceptable for many families in an urban federally qualified health center (FQHC) with a signal for modest improvements in behavioral health. Future program iterations will seek to address participation barriers and expand the intervention's capacity to promote early relational health.

Social Media in the Diabetes Community: a Novel Way to Assess Psychosocial Needs in People with Diabetes and Their Caregivers.

PURPOSE OF REVIEW: Diabetes is a chronic disease that, regardless of type, requires intensive, ongoing self-management. As a result, people with diabetes (PWD) often have complex environmental, social, behavioral, and informational needs, many of which are unmet in healthcare settings and systems. To help meet these needs, many PWD interact with diabetes online communities (DOCs), including platforms such as Facebook, Twitter, and blogs, to share real-life support, problems, and concerns with other PWD, offering a rich source of data on patient-reported outcomes. This article reviews recent psychosocial needs and outcomes identified by studies of DOCs and/or their users. RECENT FINDINGS: Participation in DOCs appears driven by a need for psychosocial support, unmet by providers and the healthcare system, as well as a sense of duty to provide it to others. The most common activities observed in DOCs are giving and receiving various types of support: psychosocial, technical, informational, and self-management. General and specific challenges (e.g., continuous glucose monitoring) as well as frustrations and worries associated with those challenges are commonly expressed, leading to reciprocal sharing, support, and encouragement, in a judgment-free manner, from other PWD. This leads users to feel more understood, empowered, validated, less alone, and more supported. Negative findings were reported very rarely and focused more on how other participants used social media rather than on the exchange of misplaced or dangerous information or advice. Diabetes online communities have grown from unmet needs for problem-solving and psychosocial support for living with a complex condition and from the availability of a new communications medium (i.e., social media). This has enabled communities of peers to both seek and receive support for living with diabetes, providing an important supplement to what is provided in healthcare settings and offering valuable information about what is most important to PWD and their families, with the potential to improve psychosocial care.

An online experiment to assess bias in professional medical coding.

BACKGROUND: Multiple studies have documented bias in medical decision making, but no studies have examined whether this bias extends to medical coding practices. Medical coding is foundational to the US health care enterprise. We evaluate whether bias based on patient characteristics influences specific coding practices of professional medical coders. METHODS: This is an online experimental study of members of a national professional medical coding organization. Participants were randomly assigned a set of six clinical scenarios reflecting common medical conditions and asked to report encounter level of service codes for these clinical scenarios. Clinical scenarios differed by patient demographics (race, age, gender, ability) or social context (food insecurity, housing security) but were otherwise identical. We estimated Ordinary Least Squares regression models to evaluate differences in outcome average visit level of service by patient demographic characteristics described in the clinical scenarios; we adjusted for coders' age, gender, race, and years of coding experience. RESULTS: The final analytic sample included 586 respondents who coded at least one clinical scenario. Higher mean level of service was assigned to clinical scenarios describing seniors compared to middle-aged patients in two otherwise identical scenarios, one a patient with type II diabetes mellitus (Coef: 0.28, SE: 0.15) and the other with rheumatoid arthritis (Coef: 0.30, SE: 0.13). Charts describing women were assigned lower level of service than men in patients with asthma exacerbation (Coef: -0.25, SE: 0.13) and rheumatoid arthritis (Coef: -0.20, SE: 0.12). There were no other significant differences in mean complexity score by patient demographics or social needs. CONCLUSION: We found limited evidence of bias in professional medical coding practice by patient age and gender, though findings were inconsistent across medical conditions. Low levels of observed bias may reflect medical coding workflow and training practices. Future research is needed to better understand bias in coding and to identify effective and generalizable bias prevention practices.