IMPORTANCE Financial integration between physicians and hospitals may help health care provider organizations meet the challenges of new payment models but also may enhance the bargaining power of provider organizations, leading to higher prices and spending in commercial health care markets. OBJECTIVE To assess the association between recent increases in physician-hospital integration and changes in spending and prices for outpatient and inpatient services. DESIGN, SETTING, AND PARTICIPANTS Using regression analysis, we estimated the relationship between changes in physician-hospital integration from January 1, 2008, through December 31, 2012, in 240 metropolitan statistical areas (MSAs) and concurrent changes in spending. Adjustments were made for patient, plan, and market characteristics, including physician, hospital, and insurer market concentration. The study population included a cohort of 7 391 335 nonelderly enrollees in preferred-provider organizations or point-of-service plans included in the Truven Health MarketScan Commercial Database during the study period.

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Key Points Question Is the decision to prescribe opioids associated with appointments that are behind schedule or later in the day compared with earlier or on-time appointments? Findings In this cross-sectional study, opioid prescribing for opioid-naive patients with pain diagnoses was significantly associated with increases as the workday progressed and with appointments that started late, although the effect size was modest. Nonopioid pain treatment orders did not show similar patterns. Meaning Appointment timing that contributes to time pressure could be adversely associated with physician decision-making and could have widespread relevance for public health and quality improvement efforts, if similar patterns exist in other clinical scenarios.

BACKGROUND: The relationship between worklife factors, clinician outcomes, and time pressure during office visits is unclear. OBJECTIVE: To quantify associations between time pressure, workplace characteristics ,and clinician outcomes. DESIGN: Prospective analysis of data from the Healthy Work Place randomized trial. PARTICIPANTS: 168 physicians and advanced practice clinicians in 34 primary care practices in Upper Midwest and East Coast. MAIN MEASURES AND METHODS: Time pressure was present when clinicians needed more time than allotted to provide quality care. Other metrics included work control, work pace (calm to chaotic), organizational culture and clinician satisfaction, stress, burnout, and intent to leave the practice. Hierarchical analysis assessed relationships between time pressure, organizational characteristics, and clinician outcomes. Adjusted differences between clinicians with and without time pressure were expressed as effect sizes (ESs). KEY RESULTS: Sixty-seven percent of clinicians needed more time for new patients and 53% needed additional time for follow-up appointments. Time pressure in new patient visits was more prevalent in general internists than in family physicians (74% vs 55%, p < 0.05), women versus men (78% vs 55%, p < 0.01), and clinicians with larger numbers of complex psychosocial (81% vs 59%, p < 0.01) and Limited English Proficiency patients (95% vs 57%, p < 0.001). Time pressure in new patient visits was associated with lack of control, clinician stress, and intent to leave (ESs small to moderate, p < 0.05). Time pressure in follow-up visits was associated with chaotic workplaces and burnout (small to moderate ESs, p's < 0.05). Time pressure improved over time in workplaces with values alignment and an emphasis on quality. CONCLUSIONS: Time pressure, more common in women and general internists, was related to chaos, control and culture, and stress, burnout, and intent to leave. Future studies should evaluate these findings in larger and more geographically diverse samples.

Provider consolidation has been associated with higher health care prices and spending. Prevailing wisdom assumes that payment reform will accelerate consolidation, especially between physicians and hospitals and among physician groups, as providers position themselves to bear financial risk for the full continuum of patient care. Drawing from a number of data sources from 2008 onward, we examined the relationship between Medicare’s Accountable Care Organization (ACO) programs and provider consolidation. According to multiple measures, consolidation was underway in 2008–2010, before the Affordable Care Act (ACA) established the ACO programs. While the number of hospital mergers and specialty-oriented physician group size increased after the ACA, we found minimal evidence associating consolidation with ACO penetration at a market level or with ACO participation by physicians within markets. We conclude that payment reform has been associated with little acceleration in consolidation apart from trends already underway, but with some evidence of potential defensive consolidation in response to new payment models.

While most primary care physicians treated at least one Medicaid patient in 2013, Medicaid represented a small share of their payer mix. Following Medicaid eligibility expansion in 2014, most physicians maintained or slightly increased their Medicaid participation, with greater increases observed in states that expanded eligibility. Nevertheless, Medicaid patients remained concentrated among relatively few physicians after expansion.

PurposeThe distance patients travel for specialty care is an important barrier to health care access, particularly for those living in rural areas. This study characterizes the actual distance older breast cancer patients traveled to radiation treatment and the minimum distance necessary to reach radiation care, and examines whether any patient demographic or clinical factors are associated with greater travel distance.MethodsWe used data from the Surveillance Epidemiology and End Results (SEER)‐Medicare database. Our cohort included 52,317 women diagnosed with breast cancer between 2004 and 2013. Driving distances were calculated using Google Maps. We used generalized estimating equations to estimate associations between patient demographic and disease variables and travel distance.FindingsPatients living in rural areas traveled on average nearly 3 times as far as those from urban areas (40.8 miles vs 15.4 miles), and their nearest facility was more than 4 times farther away (21.9 miles vs 4.8 miles). Older age, being single or widowed, and lower household income were significantly associated with shorter actual travel distance, while increasing rurality was significantly associated with greater actual and minimum travel distance to radiation treatment. Disease severity (stage, grade, etc) was not significantly associated with actual or minimum travel distance.ConclusionsIn this insured population, travel distance to radiation facilities may pose a significant burden for breast cancer patients, particularly among those living in rural areas. Policymakers and patient advocates should explore service delivery models, reimbursement models, and social supports aimed at reducing the impact of travel to radiation treatment for breast cancer patients.

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