From Revolution to Evolution: Early Experience with Virtual-First, Outcomes-Based Primary Care.

Primary care is foundational to health systems and a common good. The workforce is threatened by outdated approaches to organizing work, payment, and technology. Primary care work should be restructured to support a team-based model, optimized to efficiently achieve the best population health outcomes. In a virtual-first, outcomes-based primary care model, a majority of professional time for primary care team members is protected for virtual, asynchronous patient interactions, collaboration across clinical disciplines, and real-time management of patients with acute and complex concerns. Payments must be re-structured to cover the cost of, and reward the value created by, this advanced model. Technology investments should shift from legacy electronic health records to patient relationship management systems, built to support continuous, outcome-based care. These changes enable primary care team members to focus on building engaged, trusting relationships with patients and their families and collaborating on complex management decisions, and reconnecting team members with joy in clinical practice.

Defining the Resident Continuity Clinic Panel Along Patient Outcomes: a Health Equity Opportunity.

BACKGROUND: Continuity clinics are a critical component of outpatient internal medicine training. Little is known about the population of patients cared for by residents and how these physicians perform. OBJECTIVES: To compare resident and faculty performance on standard population health measures. To identify potential associations with differences in performance, specifically medical complexity, psychosocial vulnerability, and rates of patient loss. SETTING AND PARTICIPANTS: Large academic primary care clinic caring for 40,000 patients. One hundred ten internal medicine residents provide primary care for 9,000 of these patients; the remainder are cared for by faculty. STUDY DESIGN: Descriptive analysis using review of the medical record and hospital administrative data. MAIN MEASURES: We compared resident and faculty performance on standard population health measures, including cancer screening rates, chronic disease care, acute and chronic medical complexity, psychosocial vulnerability, and rates of patient loss. We evaluated the success of resident transition by measuring rates of kept continuity visits 18 months after graduation. KEY RESULTS: Performance on all clinical outcomes was significantly better for faculty compared to residents. Despite similar levels of medical complexity compared to faculty patients, resident patients had significantly higher levels of psychosocial vulnerability across all measured domains, including health literacy, economic vulnerability, psychiatric illness burden, high-risk behaviors, and patient engagement. Resident patients experienced higher rates of patient loss than faculty patients (38.5 vs. 18.8%) with only 46.5% of resident patients with a kept continuity appointment in the practice 18 months after graduation. CONCLUSIONS: In this large academic practice, resident performance on standard population health measures was significantly lower than faculty. This may be explained in part by the burden of psychosocial vulnerability of their patients and systems that do not effectively transition patients after graduation. These findings present an opportunity to improve structural equity for these vulnerable patients and developing physicians.

The effectiveness of an obstructive sleep apnea screening and treatment program in patients with type 2 diabetes.

AIMS: As recommended by current guidelines, we tested the acceptability and impact of screening patients with type 2 diabetes for obstructive sleep apnea (OSA). METHODS: In a large urban primary care practice, we instituted a telephone-based OSA screening program using a validated tool (STOP-BANG) in patients with type 2 diabetes. Patients identified as high risk were referred for diagnostic sleep testing, and those diagnosed with OSA were offered positive airway pressure (PAP) therapy. We evaluated the impact of PAP on sleep-related symptoms, glycemic control, and hospitalization rates. RESULTS: We identified 738 of 818 (90.1%) patients with type 2 diabetes as high risk for OSA. Only 29.2% (n = 213) of high risk patients were willing to undergo diagnostic sleep testing. The prevalence of OSA was 90.6% in this group, but only 66.0% of those with OSA initiated PAP. Patients with higher burden of sleep symptoms were more likely to pursue testing and initiate therapy. PAP use was associated with reduced sleep-related symptoms (mean Epworth sleepiness scale score declined from 8.8 to 7.3, p < .001), but did not impact hemoglobin A1c levels at one year (7.7-7.9%, p = .12). Changes in glycemic control and hospitalization rates did not differ from comparator groups. CONCLUSIONS: Despite a high prevalence of OSA, willingness to pursue diagnostic testing and treatment was low in an unselected type 2 diabetes population. Furthermore, glycemic control did not improve. Future screening programs should focus on patients with substantial sleep related symptoms as this group is most likely to derive benefit from treatment.

Preventive health care among older women in an academic primary care practice.

PURPOSE: We sought to examine the use of preventive health services among older women and to assess how age and illness burden influence care patterns. METHODS: The charts of 299 women aged > or =80 and 229 women aged 65-79 years who did not have dementia or terminal illness at 1 academic primary care practice in Boston were reviewed between July and December 2005 to determine receipt of screening tests (e.g., mammography), counseling on healthy lifestyle (e.g., exercise), and/or geriatric health issues (e.g., incontinence), and immunizations. Illness burden was quantified using the Charlson Comorbidity Index (CCI). RESULTS: Women aged > or =80 were more likely than women aged 65-79 to have a CCI of > or =3 (24.0% vs. 16.7%) and were less likely to receive all screening tests. However, receipt of mammography (47.8%) and colon cancer screening (51.2%) was still common among women aged > or =80 and was not targeted to older women in good health. Women aged > or =80 were less likely to be screened for depression (adjusted relative risk [aRR] 0.6; 95% confidence interval [CI], 0.5-0.8), osteoporosis (aRR, 0.6; 95% CI, 0.5-0.9), or counseled about exercise (aRR 0.8; 95% CI, 0.6-0.9) than younger women, but were more likely to receive counseling about falls (aRR 1.9; 95% CI, 1.4-2.6) and/or incontinence (aRR 1.8; 95% CI, 1.2-2.6). However notes documenting discussions about mood (28.6%), exercise (40.0%), falls (28.8%), or incontinence (20.8%) were low among all women. CONCLUSION: In a comprehensive review of preventive health measures for elderly women, many in poor health were screened for cancer. Meanwhile, many older women were not screened for depression or counseled about exercise, falls, or incontinence. There is a need to improve delivery of preventive health care to older women.