Patients' and Providers' Views on Causes and Consequences of Healthcare Fragmentation in the Ambulatory Setting: a Qualitative Study.

BACKGROUND: Patients with chronic conditions routinely see multiple outpatient providers, who may or may not communicate with each other. Gaps in information across providers caring for the same patient can lead to harm for patients. However, the exact causes and consequences of healthcare fragmentation are not understood well enough to design interventions to address them. OBJECTIVE: We sought to elicit patients' and providers' views on the causes and consequences of healthcare fragmentation. DESIGN AND PARTICIPANTS: We conducted a qualitative study with focus groups of patients and, separately, of providers (attending physicians and nurse practitioners) at an academic hospital-based primary care practice in New York City in June-August 2017. Patient participants were English-speaking adults with ≥ 2 chronic conditions. APPROACH: Each focus group lasted 1 h and asked the same two questions: "Why do you think some patients receive care from many different providers and others do not?" and "What do you think happens as a result of patients receiving care from many different providers?" Data collection continued until a point of data saturation was reached. Thematic analysis was used to identify themes and subthemes. KEY RESULTS: We conducted 6 focus groups with a total of 46 participants (25 patients and 21 providers). Study participants identified 41 unique causes of fragmentation, which originate from 4 different levels of the healthcare system (patient, provider, healthcare organization, and healthcare environment); most causes were not related to medical need. Participants also identified 24 unique consequences of fragmentation, of which 3 were desirable and 21 were undesirable. CONCLUSIONS: The results of this study offer a granular roadmap for how to decrease healthcare fragmentation. The large number and severity of negative consequences (including medical errors, misdiagnosis, increased cost, and provider burnout) underscore the urgent need for interventions to address this problem directly.

The NewYork-Presbyterian Regional Health Collaborative: a three-year progress report.

The Washington Heights-Inwood section of Manhattan is a predominantly poor Hispanic community with disproportionately high rates of chronic disease, including asthma, diabetes, and congestive heart failure. In October 2010, NewYork-Presbyterian Hospital, in association with the Columbia University Medical Center, launched an integrated network of patient-centered medical homes that were linked to other providers and community-based resources and formed a "medical village." Three years later, a study of 5,852 patients who had some combination of diabetes, asthma, and congestive heart failure found that emergency department visits and hospitalizations had been reduced by 29.7 percent and 28.5 percent, respectively, compared to the year before implementation of the network. Thirty-day readmissions and average length-of-stay declined by 36.7 percent and 4.9 percent, respectively. Patient satisfaction scores improved across all measures. Financially, NewYork-Presbyterian experienced a short-term return on investment of 11 percent. Some of the gain was a result of increased reimbursements from New York State. Nonetheless, these findings demonstrate that academic medical centers can improve outcomes for poor communities by building regional care models centering on medical homes that incorporate patient-centered processes and are linked through information systems and service collaborations to hospitals, specialty practices, and community-based providers and organizations.

Reducing time-to-treatment in underserved Latinas with breast cancer: the Six Cities Study.

BACKGROUND: The interaction of clinical and patient-level challenges following a breast cancer diagnosis can be a significant source of health care disparities. Failure to address specific cultural features that create or exacerbate barriers can lead to less-than optimal navigation results, specifically in Hispanic/Latino women. METHODS: To address these disparities, the study leaders in San Antonio, Texas, and 5 other regional partners of the federally-funded Redes En Acción: The National Latino Cancer Research Network developed a culturally-tailored patient navigation intervention model for Latinas with breast cancer. RESULTS: Compared with control patients, a higher percentage of navigated subjects initiated treatment within 30 days (69.0% versus 46.3%, P = .029) and 60 days (97.6% versus 73.1%, P = .001) following their cancer diagnosis. Time from cancer diagnosis to first treatment was lower in the navigated group (mean, 22.22 days; median, 23.00 days) than controls (mean, 48.30 days; median, 33.00 days). These results were independent of cancer stage at diagnosis and numerous characteristics of cancer clinics and individual participants. CONCLUSIONS: Successful application of patient navigation increased the percentage of Latinas initiating breast cancer treatment within 30 and 60 days of diagnosis. This was achieved through navigator provision of services such as accompaniment to appointments, transportation arrangements, patient telephone support, patient-family telephone support, Spanish-English language translation, and assistance with insurance paperwork.

Practices that reduce the Latina survival disparity after breast cancer.

OBJECTIVES: Latina breast cancer patients are 20 percent more likely to die within 5 years after diagnosis compared with white women, even though they have a lower incidence of breast cancer, lower general mortality rates, and some better health behaviors. Existing data only examine disparities in the utilization of breast cancer care; this research expands the study question to which utilization factors drive the shorter survival in Latina women compared with white women. METHODS: This longitudinal linked Surveillance Epidemiology and End Results (SEER)-Medicare cohort study examined early stage breast cancer patients diagnosed between 1992 and 2000 and followed for 5-11 years after diagnosis (N=44,999). Modifiable utilization factors included consistent visits to primary care providers and to specialists after diagnosis, consistent post-diagnosis mammograms, and receipt of initial care consistent with current standards of care. RESULTS: Of the four utilization factors potentially driving this disparity, a lack of consistent post-diagnosis mammograms was the strongest driver of the Latina breast cancer survival disparity. Consistent mammograms attenuated the hazard of death from 23% [hazard ratio, HR, (95% confidence interval, 95%CI)=1.23 (1.1,1.4)] to a nonsignificant 12% [HR (95%CI)=1.12 (0.7,1.3)] and reduced the excess hazard of death in Latina women by 55%. Effect modification identified that visits to primary care providers have a greater protective impact on the survival of Latina compared to white women [HR (95%CI)=0.9 (0.9,0.9)]. CONCLUSIONS: We provide evidence that undetected new or recurrent breast cancers due to less consistent post-diagnosis mammograms contribute substantially to the long-observed Latina survival disadvantage. Interventions involving primary care providers may be especially beneficial to this population.

Time to definitive diagnosis of breast cancer in Latina and non-Hispanic white women: the six cities study.

Time delay after an abnormal screening mammogram may have a critical impact on tumor size, stage at diagnosis, treatment, prognosis, and survival of subsequent breast cancer. This study was undertaken to evaluate disparities between Latina and non-Hispanic white (NHW) women in time to definitive diagnosis of breast cancer after an abnormal screening mammogram, as well as factors contributing to such disparities. As part of the activities of the National Cancer Institute (NCI)-funded Redes En Acción research network, clinical records of 186 Latinas and 74 NHWs who received abnormal screening mammogram results were reviewed to determine the time to obtain a definitive diagnosis. Data was obtained from participating clinics in six U.S. cities and included demographics, clinical history, and mammogram characteristics. Kaplan-Meier estimates and Cox proportional hazards models were used to test differences in median time to definitive diagnosis by ethnicity after adjusting for clinic site, demographics, and clinical characteristics. Time-to-event analysis showed that Latinas took 2.2 times longer to reach 50% definitively diagnosed with breast cancer relative to NHWs, and three times longer to reach 80% diagnosed (p=0.001). Latinas' median time to definitive diagnosis was 60 days compared to 27 for NHWs, a 59% gap in diagnosis rates (adjusted Hazard Ratio [aHR] = 1.59, 95% CI = 1.09, 2.31; p=0.015). BI-RADS-4/5 women's diagnosis rate was more than twice that of BI-RADS-3 (aHR = 2.11, 95% CI = 1.18, 3.78; p=0.011). Disparities in time between receipt of abnormal screening result and definitive diagnosis adversely affect Latinas compared to NHWs, and remain significant after adjusting for demographic and clinical variables. With cancer now the leading cause of mortality among Latinos, a greater need exists for ethnically and culturally appropriate interventions like patient navigation to facilitate Latinas' successful entry into, and progression through, the cancer care system.

Navigating Latinas with breast screen abnormalities to diagnosis: the Six Cities Study.

BACKGROUND.: Breast cancer is the leading cause of cancer-related deaths in Latinas, chiefly because of later diagnosis. The time from screening to diagnosis is critical to optimizing cancer care, yet the efficacy of navigation in reducing it is insufficiently documented. Here, the authors evaluate a culturally sensitive patient navigation program to reduce the time to diagnosis and increase the proportions of women diagnosed within 30 days and 60 days. METHODS.: The authors analyzed 425 Latinas who had Breast Imaging Reporting and Data System (BI-RADS) radiologic abnormalities categorized as BI-RADS-3, BI-RADS-4, or BI-RADS-5 from July 2008 to January 2011. There were 217 women in the navigated group and 208 women in the control group. Women were navigated by locally trained navigators or were not navigated (data for this group were abstracted from charts). The Kaplan-Meier method, Cox proportional hazards regression, and logistic regression were used to determine differences between groups. RESULTS.: The time to diagnosis was shorter in the navigated group (mean, 32.5 days vs 44.6 days in the control group; hazard ratio, 1.32; P = .007). Stratified analysis revealed that navigation significantly shortened the time to diagnosis among women who had BI-RADS-3 radiologic abnormalities (mean, 21.3 days vs 63.0 days; hazard ratio, 2.42; P < .001) but not among those who had BI-RADS-4 or BI-RADS-5 radiologic abnormalities (mean, 37.6 days vs 36.9 days; hazard ratio, 0.98; P = .989). Timely diagnosis occurred more frequently among navigated Latinas (within 30 days: 67.3% vs 57.7%; P = .045; within 60 days: 86.2% vs 78.4%; P = .023). This was driven by the BI-RADS-3 strata (within 30 days: 83.6% vs 50%; P < .001; within 60 days: 94.5% vs 67.2%; P < .001). A lack of missed appointments was associated with timely diagnosis. CONCLUSIONS.: Patient-centered navigation to assist Latina women with abnormal screening mammograms appeared to reduced the time to diagnosis and increase rates of timely diagnosis overall. However, in stratified analyses, only navigated Latinas with an initial BI-RADS-3 screen benefited, probably because of a reduction in missed diagnostic appointments.

A regional health collaborative formed By NewYork-Presbyterian aims to improve the health of a largely Hispanic community.

Communities of poor, low-income immigrants with limited English proficiency and disproportionate health burdens pose unique challenges to health providers and policy makers. NewYork-Presbyterian Hospital developed the Regional Health Collaborative, a population-based health care model to improve the health of the residents of Washington Heights-Inwood. This area is a predominantly Hispanic community in New York City with high rates of asthma, diabetes, heart disease, and depression. NewYork-Presbyterian created an integrated network of patient-centered medical homes to form a "medical village" linked to other providers and community-based resources. The initiative set out to document the priority health needs of the community, target high-prevalence conditions, improve cultural competence among providers, and introduce integrated information systems across care sites. The first six months of the program demonstrated a significant 9.2 percent decline in emergency department visits for ambulatory care-sensitive conditions and a 5.8 percent decrease in hospitalizations that was not statistically significant. This initiative offers a model for other urban academic medical centers to better serve populations facing social and cultural barriers to care.

Defining and targeting health care access barriers.

The impact of social and economic determinants of health status and the existence of racial and ethnic health care access disparities have been well-documented. This paper describes a model, the Health Care Access Barriers Model (HCAB), which provides a taxonomy and practical framework for the classification, analysis and reporting of those modifiable health care access barriers that are associated with health care disparities. The model describes three categories of modifiable health care access barriers: financial, structural, and cognitive. The three types of barriers are reciprocally reinforcing and affect health care access individually or in concert. These barriers are associated with screening, late presentation to care, and lack of treatment, which in turn result in poor health outcomes and health disparities. By targeting those barriers that are measurable and modifiable the model facilitates root-cause analysis and intervention design.

Cultural competence and health care disparities: key perspectives and trends.

Cultural competence has gained attention as a potential strategy to improve quality and eliminate racial/ethnic disparities in health care. In 2002 we conducted interviews with experts in cultural competence from managed care, government, and academe to identify their perspectives on the field. We present our findings here and then identify recent trends in cultural competence focusing on health care policy, practice, and education. Our analysis reveals that many health care stakeholders are developing initiatives in cultural competence. Yet the motivations for advancing cultural competence and approaches taken vary depending on mission, goals, and sphere of influence.

Barriers to health promotion and disease prevention in the Latino population.

The Latino population of the United States is expected to increase substantially in the next 25 years. Although recent health promotion and disease prevention interventions have improved the health of the majority of Americans, the Latino community has derived less benefit from these advances. This is due to a number of interrelated factors, including a disproportionate representation of Latino Americans in the low socioeconomic strata and in the uninsured population. Even when insured, Latino Americans face significant barriers to health promotion and disease prevention. This policy analysis identifies barriers at the organizational and structural level of health care delivery, as well as at the level of the medical encounter. It provides a practical framework for intervention that is founded on the recruitment of Latino Americans into the health care workforce and leadership, the restructuring of health systems to be more responsive to the needs of diverse populations, and health care provider education on how to improve cross-cultural understanding and communication. By investing in a multifaceted approach that addresses barriers to health promotion and disease prevention in the Latino population, we can improve the quality of care delivered to this population and help eliminate racial and ethnic disparities in health care.

Defining cultural competence: a practical framework for addressing racial/ethnic disparities in health and health care.

OBJECTIVES: Racial/ethnic disparities in health in the U.S. have been well described. The field of "cultural competence" has emerged as one strategy to address these disparities. Based on a review of the relevant literature, the authors develop a definition of cultural competence, identify key components for intervention, and describe a practical framework for implementation of measures to address racial/ethnic disparities in health and health care. METHODS: The authors conducted a literature review of academic, foundation, and government publications focusing on sociocultural barriers to care, the level of the health care system at which a given barrier occurs, and cultural competence efforts that address these barriers. RESULTS: Sociocultural barriers to care were identified at the organizational (leadership/workforce), structural (processes of care), and clinical (provider-patient encounter) levels. A framework of cultural competence interventions--including minority recruitment into the health professions, development of interpreter services and language-appropriate health educational materials, and provider education on cross-cultural issues--emerged to categorize strategies to address racial/ethnic disparities in health and health care. CONCLUSIONS: Demographic changes anticipated over the next decade magnify the importance of addressing racial/ethnic disparities in health and health care. A framework of organizational, structural, and clinical cultural competence interventions can facilitate the elimination of these disparities and improve care for all Americans.

Integrating social factors into cross-cultural medical education.

The field of cross-cultural medical education has blossomed in an environment of increasing diversity and increasing awareness of the effect of race and ethnicity on health outcomes. However, there is still no standardized approach to teaching doctors in training how best to care for diverse patient populations. As standards are developed, it is crucial to realize that medical educators cannot teach about culture in a vacuum. Caring for patients of diverse cultural backgrounds is inextricably linked to caring for patients of diverse social backgrounds. In this article, the authors discuss the importance of social issues in caring for patients of all cultures, and propose a practical, patient-based approach to social analysis covering four major domains--(1) social stress and support networks, (2) change in environment, (3) life control, and (4) literacy. By emphasizing and expanding the role of the social history in cross-cultural medical education, faculty can better train medical students, residents, and other health care providers to care for socioculturally diverse patient populations.