Intensity and Variation of Health Navigator Support: Addressing Medical and Social Needs of Diabetes Patients in East Oakland.

BACKGROUND: Healthcare systems are increasingly screening and referring patients for unmet social needs (e.g., food insecurity). Little is known about the intensity of support necessary to address unmet needs, how this support may vary by circumstance or time (duration), or the factors that may contribute to this variation. OBJECTIVE: Describe health navigator services and the effort required to support patients with complex needs at a community health center in East Oakland, CA. DESIGN: Retrospective analysis of de-identified patient contact notes (e.g., progress notes). PARTICIPANTS: Convenience sample of patients (n = 27) enrolled in diabetes education and referred to health navigators. INTERVENTIONS: Navigators provide education on managing conditions (e.g., diabetes), initiate and track medical and social needs referrals, and navigate patients to medical and social care organizations. MAIN MEASURES: Descriptive statistics for prevalence, mean, median, and range values of patient contacts and navigation services. We described patterns and variation in navigation utilization (both contacts and navigation services) based on types of need. KEY RESULTS: We identified 811 unmet social and medical needs that occurred over 710 contacts with health navigators; 722 navigation services were used to address these needs. Patients were supported by navigators for a median of 9 months; approximately 25% of patients received support for > 1 year. We categorized patients into 3 different levels of social risk, accounting for patient complexity and resource needs. The top tertile (n = 9; 33%) accounted for the majority of resource utilization, based on health navigator contacts (68%) and navigation services (75%). CONCLUSIONS: The required intensity and support given to meet patients' medical and social needs is substantial and has significant variation. Meeting the needs of complex patients will require considerable investments in human capital, and a risk stratification system to help identify those most in need of services.

Racial Disparities in Pulse Oximeter Device Inaccuracy and Estimated Clinical Impact on COVID-19 Treatment Course.

Arterial blood oxygen saturation as measured by pulse oximetry (peripheral oxygen saturation (SpO2)) may be differentially less accurate for people with darker skin pigmentation, which could potentially affect the course of coronavirus disease 2019 (COVID-19) treatment. We analyzed pulse oximeter accuracy and its association with COVID-19 treatment outcomes using electronic health record data from Sutter Health, a large, mixed-payer, integrated health-care delivery system in Northern California. We analyzed 2 cohorts: 1) 43,753 non-Hispanic White (NHW) or non-Hispanic Black/African-American (NHB) adults with concurrent arterial blood gas oxygen saturation/SpO2 measurements taken between January 2020 and February 2021; and 2) 8,735 adults who went to a hospital emergency department with COVID-19 between July 2020 and February 2021. Pulse oximetry systematically overestimated blood oxygenation by 1% more in NHB individuals than in NHW individuals. For people with COVID-19, this was associated with lower admission probability (-3.1 percentage points), dexamethasone treatment (-3.1 percentage points), and supplemental oxygen treatment (-4.5 percentage points), as well as increased time to treatment: 37.2 minutes before dexamethasone initiation and 278.5 minutes before initiation of supplemental oxygen. These results call for additional investigation of pulse oximeters and suggest that current guidelines for development, testing, and calibration of these devices should be revisited, investigated, and revised.

Building Bridges Between Community Health Centers and Academic Medical Centers in a COVID-19 Pandemic.

The threat to the public health of the United States from the COVID-19 pandemic is causing rapid, unprecedented shifts in the health care landscape. Community health centers serve the patient populations most vulnerable to the disease yet often have inadequate resources to combat it. Academic medical centers do not always have the community connections needed for the most effective population health approaches. We describe how a bridge between a community health center partner (Roots Community Health Center) and a large academic medical center (Stanford Medicine) brought complementary strengths together to address the regional public health crisis. The 2 institutions began the crisis with an overlapping clinical and research faculty member (NKT). Building on that foundation, we worked in 3 areas. First, we partnered to reach underserved populations with the academic center's newly developed COVID test. Second, we developed and distributed evidence-based resources to these same communities via a large community health navigator team. Third, as telemedicine became the norm for medical consultation, the 2 institutions began to research how reducing the digital divide could help improve access to care. We continue to think about how best to create enduring partnerships forged through ongoing deeper relationships beyond the pandemic.