Effects of Fragmentation and the Case for Greater Cohesion in Neurologic Care Delivery

Goals:To define fragmentation in neurological care delivery; explain the positive and negative drivers in neurologic practice that contribute to fragmentation; illustrate situations that increase fragmentation risk; emphasize the costs and impact on both patients and providers; propose solutions that allow for more cohesive care.Work group:The Transforming Leaders Program (TLP) class of 2020 was tasked by American Academy of Neurology (AAN) leadership to identify the leading trends in inpatient and outpatient neurology and to predict their effects on future neurologic practice.Methods:Research material included AAN data bases, PubMed searches, discussion with topic experts and AAN leadership.Results:Trends in care delivery are driven by changes in the work force, shifts in health care delivery, care costs, changes in evidence-based care and patient factors. These trends can contribute to care fragmentation. Potential solutions to these problems are proposed based on care models developed in oncology and medicine.Limitations:This paper shares our opinions as there is a lack of evidence-based guidelines as to optimal neurological care delivery.

Fragmentation of Care Among Black Women With Breast Cancer and Comorbidities: The Role of Health Systems

PURPOSE: Black women are disproportionately burdened by comorbidities and breast cancer. The complexities of coordinating care for multiple health conditions can lead to adverse consequences. Care coordination may be exacerbated when care is received outside the same health system, defined as care fragmentation. We examine types of practice setting for primary and breast cancer care to assess care fragmentation. MATERIALS AND METHODS: We analyzed data from a prospective cohort of Black women diagnosed with breast cancer in New Jersey who also had a prior diagnosis of diabetes and/or hypertension (N = 228). Following breast cancer diagnosis, we examined types of practice setting for first primary care visit and primary breast surgery, through medical chart abstraction, and identified whether care was used within or outside the same health system. We used multivariable logistic regression to explore sociodemographic and clinical factors associated with care fragmentation. RESULTS: Diverse primary care settings were used: medical groups (32.0%), health systems (29.4%), solo practices (23.7%), Federally Qualified Health Centers (8.3%), and independent hospitals (6.1%). Surgical care predominately occurred in health systems (79.8%), with most hospitals being Commission on Cancer–accredited. Care fragmentation was experienced by 78.5% of Black women, and individual-level factors (age, health insurance, cancer stage, and comorbidity count) were not associated with care fragmentation ( P > .05). CONCLUSION: The majority of Black breast cancer survivors with comorbidities received primary care and surgical care in different health systems, illustrating care fragmentation. Strategies for care coordination and health care delivery across health systems and practice settings are needed for health equity.

Super fragmented: a nationally representative cross-sectional study exploring the fragmentation of inpatient care among super-utilizers

Background Super-utilizers with 4 or more admissions per year frequently receive low-quality care and disproportionately contribute to healthcare costs. Inpatient care fragmentation (admission to multiple different hospitals) in this population has not been well described. Objective To determine the prevalence of super-utilizers who receive fragmented care across different hospitals and to describe associated risks, costs, and health outcomes. Research design We analyzed inpatient data from the Health Care Utilization Project’s State Inpatient and Emergency Department database from 6 states from 2013. After identifying hospital super-utilizers, we stratified by the number of different hospitals visited in a 1-year period. We determined how patient demographics, costs, and outcomes varied by degree of fragmentation. We then examined how fragmentation would influence a hospital’s ability to identify super-utilizers. Subjects Adult patients with 4 or more inpatient stays in 1 year. Measures Patient demographics, cost, 1-year hospital reported mortality, and probability that a single hospital could correctly identify a patient as a super-utilizer. Results Of the 167,515 hospital super-utilizers, 97,404 (58.1%) visited more than 1 hospital in a 1-year period. Fragmentation was more likely among younger, non-white, low-income, under-insured patients, in population-dense areas. Patients with fragmentation were more likely to be admitted for chronic disease management, psychiatric illness, and substance abuse. Inpatient fragmentation was associated with higher yearly costs and lower likelihood of being identified as a super-utilizer. Conclusions Inpatient care fragmentation is common among super-utilizers, disproportionately affects vulnerable populations. It is associated with high yearly costs and a decreased probability of correctly identifying super-utilizers.