The ADVANCE network: accelerating data value across a national community health center network

The ADVANCE (Accelerating Data Value Across a National Community Health Center Network) clinical data research network (CDRN) is led by the OCHIN Community Health Information Network in partnership with Health Choice Network and Fenway Health. The ADVANCE CDRN will ‘horizontally’ integrate outpatient electronic health record data for over one million federally qualified health center patients, and ‘vertically’ integrate hospital, health plan, and community data for these patients, often under-represented in research studies. Patient investigators, community investigators, and academic investigators with diverse expertise will work together to meet project goals related to data integration, patient engagement and recruitment, and the development of streamlined regulatory policies. By enhancing the data and research infrastructure of participating organizations, the ADVANCE CDRN will serve as a ‘community laboratory’ for including disadvantaged and vulnerable patients in patient-centered outcomes research that is aligned with the priorities of patients, clinics, and communities in our network

Electronic Health Record Functionality Needed to Better Support Primary Care

Electronic health records (EHRs) must support primary care clinicians and patients, yet many clinicians remain dissatisfied with their system. This manuscript presents a consensus statement about gaps in current EHR functionality and needed enhancements to support primary care. The Institute of Medicine primary care attributes were used to define needs and Meaningful Use (MU) objectives to define EHR functionality. Current objectives remain disease- rather than whole-person focused, ignoring factors like personal risks, behaviors, family structure, and occupational and environmental influences. Primary care needs EHRs to move beyond documentation to interpreting and tracking information over time as well as patient partnering activities, support for team based care, population management tools that deliver care, and reduced documentation burden. While Stage 3 MU’s focus on outcomes is laudable, enhanced functionality is still needed including EHR modifications, expanded use of patient portals, seamless integration with external applications, and advancement of national infrastructure and policies

Association Between Hypertension and Diabetes Control and COVID‐19 Severity: National Patient‐Centered Clinical Research Network, United States, March 2020 to February 2022

Background Hypertension and diabetes are associated with increased COVID‐19 severity. The association between level of control of these conditions and COVID‐19 severity is less well understood. Methods and Results This retrospective cohort study identified adults with COVID‐19, March 2020 to February 2022, in 43 US health systems in the National Patient‐Centered Clinical Research Network. Hypertension control was categorized as blood pressure (BP) <130/80, 130 to 139/80 to 89, 140 to 159/90 to 99, or ≥160/100 mm Hg, and diabetes control as glycated hemoglobin <7%, 7% to <9%, ≥9%. Adjusted, pooled logistic regression assessed associations between hypertension and diabetes control and severe COVID‐19 outcomes. Among 1 494 837 adults with COVID‐19, 43% had hypertension and 12% had diabetes. Among patients with hypertension, the highest baseline BP was associated with greater odds of hospitalization (adjusted odds ratio [aOR], 1.30 [95% CI, 1.23–1.37] for BP ≥160/100 versus BP <130/80), critical care (aOR, 1.30 [95% CI, 1.21–1.40]), and mechanical ventilation (aOR, 1.32 [95% CI, 1.17–1.50]) but not mortality (aOR, 1.08 [95% CI, 0.98–1.12]). Among patients with diabetes, the highest glycated hemoglobin was associated with greater odds of hospitalization (aOR, 1.61 [95% CI, 1.47–1.76] for glycated hemoglobin ≥9% versus <7%), critical care (aOR, 1.42 [95% CI, 1.31–1.54]), mechanical ventilation (aOR, 1.12 [95% CI, 1.02–1.23]), and mortality (aOR, 1.18 [95% CI, 1.09–1.27]). Black and Hispanic adults were more likely than White adults to experience severe COVID‐19 outcomes, independent of comorbidity score and control of hypertension or diabetes. Conclusions Among 1.5 million patients with COVID‐19, higher BP and glycated hemoglobin were associated with more severe COVID‐19 outcomes. Findings suggest that adults with poorest control of hypertension or diabetes might benefit from efforts to prevent and initiate early treatment of COVID‐19

Disparities in Smoking Cessation Assistance n US Primary Care Clinics

Objectives. To examine associations between patient factors and smoking cessation assistance in US safety-net clinics.Objectives. To examine associations between patient factors and smoking cessation assistance in US safety-net clinics. Methods. Using electronic health record data from the OCHIN network, we identified adults with at least 1 primary care visit to a study clinic (n = 143 clinics in 12 states) with at least 1 documented “current smoker” status during 2014 to 2016 (n = 136 314; 29.8%). We estimated odds ratios (ORs) of smoking cessation assistance receipt (none [reference], counseling, medication, or both) by patient covariates. Results. For all cessation assistance categories, odds of assistance were higher among women, those with more visits, those assessed and ready to quit, and patients with asthma or chronic obstructive pulmonary disease and hyperlipidemia. Odds of receiving both counseling and medication were lower among uninsured patients (OR = 0.56; 95% confidence interval [CI] = 0.48, 0.64), those of a race/ethnicity other than non-Hispanic White (OR range = 0.65–0.82), and those with diabetes (OR = 0.85; 95% CI = 0.79, 0.92), and higher among older patients and those with a comorbidity, with few exceptions. Conclusions. Disparities in smoking cessation assistance receipt exist in safety-net settings, in particular by health insurance coverage and across race/ethnicity, even after control for other socioeconomic and demographic factors

Electronic Health Records vs Medicaid Claims: Completeness of Diabetes Preventive Care Data in Community Health Centers

PURPOSE Electronic Health Record (EHR) databases in community health centers (CHCs) present new opportunities for quality improvement, comparative effectiveness, and health policy research. We aimed (1) to create individual-level linkages between EHR data from a network of CHCs and Medicaid claims from 2005 through 2007; (2) to examine congruence between these data sources; and (3) to identify sociodemographic characteristics associated with documentation of services in one data set vs the other