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OBJECTIVE: To examine whether exposure to ambient ozone, particulate matter with diameter less than 2.5 microns (PM(2.5)), nitrogen dioxide (NO(2)), and distance to major roadways (DTR) impact ovarian cancer-specific survival, while considering differences by stage, race/ethnicity, and socioeconomic status. METHODS: Women diagnosed with epithelial ovarian cancer from 1996-2014 were identified through the California Cancer Registry and followed through 2016. Women’s geocoded addresses were linked to pollutant exposure data and averaged over the follow-up period. Pollutants were considered independently and in multi-pollutant models. Cox proportional hazards models assessed hazards of disease-specific death due to environmental exposures, controlling for important covariates, with additional models stratified by stage at diagnosis, race/ethnicity and socioeconomic status. RESULTS: PM(2.5) and NO(2), but not ozone or DTR, were significantly associated with survival in univariate models. In a multi-pollutant model for PM(2.5), ozone, and DTR, an interquartile range increase in PM(2.5) (Hazard Ratio [HR], 1.45; 95% Confidence Interval [CI], 1.41-1.49) was associated with worse prognosis. Similarly, in the multi-pollutant model with NO(2), ozone, and DTR, women with higher NO(2) exposures (HR for 20.0-30.0 ppb, 1.30; 95% CI, 1.25-1.36 and HR for >30.0 ppb, 2.48; 95% CI, 2.32-2.66) had greater mortality compared to the lowest exposed (

Antecedentes La cuarentena y el distanciamiento social como resultado de la pandemia de COVID-19 planteó la necesidad de continuar virtualmente el tratamiento de los pacientes con trastornos alimentarios (TA). Objetivo Evaluar la viabilidad, aceptabilidad y adherencia al tratamiento virtual de los pacientes, las familias y los terapeutas. Métodos: Se aplicaron encuestas en línea a 14 pacientes, 10 familiares y 8 terapeutas de un Programa Ambulatorio Intensivo para TA, y se realizó un análisis DOFA con las respuestas. Resultados El tratamiento virtual durante el confinamiento fue considerado factible y útil por todos los encuestados. El miedo al contagio y la presencia de los padres en el hogar se identificaron como fortalezas. Los padres informaron problemas con el cumplimiento del plan nutricional, especialmente en anorexia. Los terapeutas señalaron la necesidad de adaptaciones metodológicas en las sesiones para mejorar la participación. La adherencia de las familias fue total y la de los pacientes, del 90%. Conclusiones La adaptación virtual del programa es una opción válida y útil durante el confinamiento obligatorio, mejora la participación familiar, pero no reemplaza el tratamiento presencial.

Introduction Patients with severe COVID-19 develops an acute respiratory distress syndrome (ARDS), requiring admission to the intensive care unit. COVID-19 also reports an increased prevalence of comorbidities, similar to patients with Sleep disorder breathing (SDB). Objectives To evaluate the association between undiagnosed SDB and the risk of ARDS and pulmonary abnormalities in a cohort of patients’ survivors of COVID-19 between 3 and 6 months after diagnosis. Methods Prospective cohort study of patients who developed ARDS during hospitalization due to COVID-19 compared with a control group of patients who had COVID-19 with mild to moderate symptoms. All patients were evaluated between the 12th and 24th week after SARS-CoV-2 infection. The evaluation includes persistent symptoms, lung diffusing capacity of carbon monoxide (DLCO), chest CT scan and home sleep apnea test. SDB was diagnosed by the respiratory disturbance index ≥5 ev/h. The association between SDB and ARDS, the hazards of lung impairment and the hazard ratios (HR) were analyzed. Results A total of 60 patients were included (ARDS: 34 patients, Control: 26 patients). The mean follow-up was 16 weeks (range 12–24). ARDS reported a high prevalence of SDB (79% vs. 38% in control group). A total of 35% reported DLCO impairment, and 67.6% abnormal chest CT. SDB was independently associated to ARDS, OR 6.72 (CI, 1.56–28.93), p, Graphical abstract Image 1

Background: Evidence suggests that geographic location may independently contribute to ovarian cancer survival. We aimed to investigate how the association between residential location and ovarian cancer-specific survival in California varies by race/ethnicity and socioeconomic status. Methods: Additive Cox proportional hazard models were used to predict hazard ratios (HRs) and 95% confidence intervals (CI) for the association between geographic location throughout California and survival among 29,844 women diagnosed with epithelial ovarian cancer between 1996 and 2014. We conducted permutation tests to determine a global P-value for significance of location. Adjusted analyses considered distance traveled for care, distance to closest high-quality-of-care hospital, and receipt of National Comprehensive Cancer Network guideline care. Models were also stratified by stage, race/ethnicity, and socioeconomic status. Results: Location was significant in unadjusted models (P = 0.009 among all stages) but not in adjusted models (P = 0.20). HRs ranged from 0.81 (95% CI: 0.70, 0.93) in Southern Central Valley to 1.41 (95% CI: 1.15, 1.73) in Northern California but were attenuated after adjustment (maximum HR = 1.17, 95% CI: 1.08, 1.27). Better survival was generally observed for patients traveling longer distances for care. Associations between survival and proximity to closest high-quality-of-care hospitals were null except for women of lowest socioeconomic status living furthest away (HR = 1.22, 95% CI: 1.03, 1.43). Conclusions:Overall, geographic variations observed in ovarian cancer-specific survival were due to important predictors such as receiving guideline-adherent care. Improving access to expert care and ensuring receipt of guideline-adherent treatment should be priorities in optimizing ovarian cancer survival.

Ovarian cancer care at a high-performing hospital is an independent predictor of improved survival, and barriers to access disproportionately affect patients according to sociodemographic characteristics., OBJECTIVE: To validate the observed/expected ratio for adherence to ovarian cancer treatment guidelines as a risk-adjusted measure of hospital quality care, and to identify patient characteristics associated with disparities in access to high-performing hospitals. METHODS: This was a retrospective population-based study of stage I–IV invasive epithelial ovarian cancer reported to the California Cancer Registry between 1996 and 2014. A fit logistic regression model, which was risk-adjusted for patient and disease characteristics, was used to calculate the observed/expected ratio for each hospital, stratified by hospital annual case volume. A Cox proportional hazards model was used for survival analyses, and a multivariable logistic regression model was used to identify independent predictors of access to high-performing hospitals. RESULTS: The study population included 30,051 patients who were treated at 426 hospitals: low observed/expected ratio (n=304) 23.5% of cases; intermediate observed/expected ratio (n=92) 57.8% of cases; and high observed/expected ratio (n=30) 18.7% of cases. Hospitals with high observed/expected ratios were significantly more likely to deliver guideline-adherent care (53.3%), compared with hospitals with intermediate (37.8%) and low (27.5%) observed/expected ratios (P

Palliative care has demonstrated effectiveness in alleviating the biological, emotional, social, and spiritual symptoms that accompany serious illness, and improving quality of life for seriously ill individuals and their family members. Despite increasing availability, there are significant disparities in access to and utilization of palliative care, particularly among diverse, low-income, and community-dwelling older adults with chronic illness. Training frontline service providers is a novel approach to expanding access to palliative care among underserved elders. This article presents a process and outcome evaluation of a palliative care curriculum that was developed and piloted for geriatric case managers in a large urban area. We describe the background, planning, design, implementation, and preliminary outcomes associated with a pilot implementation of the curriculum. We conclude with implications for replicating efforts to enhance frontline providers' knowledge, skills, and self-efficacy in extending palliative care to communities that lack access to critical supports for their burdensome symptoms.

Background: More than 14,000 women in the United States die of ovarian cancer (OC) every year. Disparities in survival have been observed by race and socioeconomic status (SES), and vary spatially even after adjusting for treatment received. This study aimed to determine the impact of geographic location on receiving treatment adherent to the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for OC, independent of other predictors. Patients and Methods: Women diagnosed with all stages of epithelial OC (1996–2014) were identified through the California Cancer Registry. Generalized additive models, smoothing for residential location, were used to calculate adjusted odds ratios (ORs) and 95% CIs for receiving nonadherent care throughout California. We assessed the impact of distance traveled for care, distance to closest high-quality hospital, race/ethnicity, and SES on receipt of quality care, adjusting for demographic and cancer characteristics and stratifying by disease stage. Results: Of 29,844 patients with OC, 11,419 (38.3%) received guideline-adherent care. ORs for nonadherent care were lower in northern California and higher in Kern and Los Angeles counties. Magnitudes of associations with location varied by stage (OR range, 0.45–2.19). Living farther from a high-quality hospital increased the odds of receiving nonadherent care (OR, 1.18; 95% CI, 1.07–1.29), but travel >32 km to receive care was associated with decreased odds (OR, 0.76; 95% CI, 0.70–0.84). American Indian/other women were more likely to travel greater distances to receive care. Women in the highest SES quintile, those with Medicare insurance, and women of non-Hispanic black race were less likely to travel far. Patients who were Asian/Pacific Islander lived the closest to a high-quality hospital. Conclusions: Among California women diagnosed with OC, living closer to a high-quality center was associated with receiving adherent care. Non-Hispanic black women were less likely to receive adherent care, and women with lower SES lived farthest from high-quality hospitals. Geographic location in California is an independent predictor of adherence to NCCN Guidelines for OC.

Although palliative care (PC) has become increasingly familiar, considerable gaps persist in access to and use of services. Community-based programs remain rare, and low-income, minority communities significantly under-utilize hospice and palliative services. We used community-based participatory research (CBPR) methods to conduct a mixed-methods community needs assessment of seriously-ill older adults (n=100) and providers from community-based programs and churches (n=41) in an urban medically-underserved community in the U.S. to explore: (I) the prevalence and severity of illness-related symptoms and psychosocial-spiritual concerns; (II) the scope and quality of community supports helping older adults manage their symptoms; and (III) the perceptions and utilization of palliative and supportive care services among older adults and community-based service providers. Participants reported high rates of chronic illness-related symptoms (i.e., pain, fatigue, sleeping difficulties, depression, and anxiety), and many described unmet needs around symptom management. Few had ever utilized PC or pain management services, and most relied primarily on family, friends, and faith communities to help them manage burdensome symptoms. Barriers included lack of familiarity with PC, limited access and financial concerns. Older adults were largely unfamiliar with PC, and many described unmet needs and desire for help with symptom burden. Findings support the need to further explore community-level and cultural barriers to PC among diverse, underserved older adults. Development of innovative community partnerships may help raise awareness of PC and address the physical and psychosocial-spiritual challenges facing chronically-ill minority older adults and their families.

Ovarian cancer survival varies geographically throughout California. The objective of this study is to determine the impact of living in disadvantaged communities on spatial patterns of survival disparities. Including a bivariate spatial smooth of geographic location within the Cox proportional hazard models is an effective approach for spatial analyses of cancer survival. Women diagnosed with advanced Stage IIIC/IV epithelial ovarian cancer (1996–2006) were identified from the California Cancer Registry. The impact of living in disadvantaged communities, as measured by the California Office of Environmental Health Hazard Assessment cumulative CalEnviroScreen 2.0 score, on geographic disparities in survival was assessed while controlling for age, tumor characteristics, quality of care, and race. Community-level air quality indicators and socioeconomic status (SES) were also independently examined in secondary analyses. The Cox proportional hazard spatial methods are available in the MapGAM package implemented in R. An increase in the community disadvantage from the 5th (less disadvantage) to the 95th percentile (more disadvantage) was significantly associated with poorer ovarian cancer survival (hazard ratio [HR], 1.16; 95% confidence interval [CI], 1.07–1.26). Ozone levels and SES were the most influential indicators on geographic disparities that warrant further investigation. The use of a bivariate smoother of location within the survival model allows for more advanced spatial analyses for exploring potential air quality-related predictors of geographic disparities.

Residing in lower socioeconomic status (SES) neighborhoods is associated with increased risk of morbidity and mortality. Few studies have examined this association for cardiovascular disease (CVD) outcomes in a treated population in New York City (NYC). The purpose of this study was to determine the relationship between neighborhood level poverty and 1-year clinical outcomes (rehospitalization and/or death) among hospitalized patients with CVD. Data on rehospitalization and/or death at 1-year were collected from consecutive patients admitted at a university medical center in NYC from November 2009 to September 2010. NYC residents totaled 2,198. U.S. Census 2000 zip code data was used to quantify neighborhood SES into quintiles of poverty (Q1 = lowest poverty to Q5 = highest poverty). Univariate analyses were used to determine associations between neighborhood poverty and baseline characteristics and comorbidities. A logistic regression analysis was used to calculate odds ratios for the association between quintiles of poverty and rehospitalization/death at 1 year. Fifty-five percent of participants experienced adverse outcomes. Participants in Q5 (9 %) were more likely to be female [odds ratio (OR) = 0.49, 95 % confidence interval (CI) 0.33-0.73], younger (OR = 0.50, 95 % CI 0.34-0.74), of minority race/ethnicity (OR = 18.24, 95 % CI 11.12-29.23), and have no health insurance (OR = 4.79, 95 % CI 2.92-7.50). Living in Q5 was significantly associated with increased comorbidities, including diabetes mellitus and hypertension, but was not a significant predictor of rehospitalization/death at 1 year. Among patients hospitalized with CVD, higher poverty neighborhood residence was significantly associated with a greater prevalence of comorbidities, but not of rehospitalization and/or death. Affordable, accessible resources targeted at reducing the risk of developing CVD and these comorbidities should be available in these communities.

Concern over the need for effective and accessible healthcare for individuals with advanced chronic illness has drawn attention to the significant gaps in our knowledge of palliative medicine. To advance our understanding of this field, community-based participatory research (CBPR) is proposed as a tool for future research initiatives. This paper offers a rationale for how CBPR may be employed to address specific gaps in palliative care research. Several examples where this approach has been used previously are described, and potential obstacles to implementing this research method are delineated. Despite challenges to incorporating CBPR to palliative care research, this approach holds substantial potential to advance our current understanding of the field and promote sensitivity for future programs, practices and policies.