Variation in Waitlisting Rates at the Dialysis Facility Level in the Context of Goals for Improving Kidney Health in the United States.
Ontology highlight
ABSTRACT:
SUBMITTER: Melanson TA
PROVIDER: S-EPMC8258495 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Variability in transplant rates between different dialysis units has been noted, yet little is known about facility-level factors associated with low standardized transplant ratios (STRs) across the United States End-stage Renal Disease (ESRD) Network regions. We analyzed Centers for Medicare & Medicaid Services Dialysis Facility Report data from 2007 to 2010 to examine facility-level factors associated with low STRs using multivariable mixed models. Among 4098 dialysis facilities treating 305 698 patients, there was wide variability in facility-level STRs across the 18 ESRD Networks. Four-year average STRs ranged from 0.69 (95% confidence interval [CI]: 0.64-0.73) in Network 6 (Southeastern Kidney Council) to 1.61 (95% CI: 1.47-1.76) in Network 1 (New England). Factors significantly associated with a lower STR (p?<?0.0001) included for-profit status, facilities with higher percentage black patients, patients with no health insurance and patients with diabetes. A greater number of facility staff, more transplant centers per 10 000 ESRD patients and a higher percentage of patients who were employed or utilized peritoneal dialysis were associated with higher STRs. The lowest performing dialysis facilities were in the Southeastern United States. Understanding the modifiable facility-level factors associated with low transplant rates may inform interventions to improve access to transplantation.
| S-EPMC4180229 | biostudies-literature
Project description:It is unknown whether dialysis facility staff are aware of the new kidney allocation system implemented in December 2014, which changed how deceased donor kidneys are allocated and waiting time is calculated. U.S. dialysis facilities with low annual waitlisting (<15.2%) were surveyed as part of a large randomized study. Among 653 facilities, 57.9% of staff were aware of the policy change, with medical directors (84.4%) being more aware than social workers (73.3%), facility administrators (53.1%), nurse managers (46.4%), and other staff (43.8%). Targeted education among dialysis facilities with low waitlisting may help extend the reach of the new policy.
| S-EPMC6261262 | biostudies-literature
Project description:BackgroundMuch of our understanding regarding geographic issues in transplantation is based on statistical techniques that do not formally account for geography and is based on obsolete boundaries such as donation service area.MethodsWe applied spatial epidemiological techniques to analyze liver-related mortality and access to liver transplant services at the county level using data from the Centers for Disease Control and Prevention and Scientific Registry of Transplant Recipients from 2010 to 2018.ResultsThere was a significant negative spatial correlation between transplant rates and liver-related mortality at the county level (Moran's I, -0.319; P = 0.001). Significant clusters were identified with high transplant rates and low liver-related mortality. Counties in geographic clusters with high ratios of liver transplants to liver-related deaths had more liver transplant centers within 150 nautical miles (6.7 versus 3.6 centers; P < 0.001) compared with all other counties, as did counties in geographic clusters with high ratios of waitlist additions to liver-related deaths (8.5 versus 2.5 centers; P < 0.001). The spatial correlation between waitlist mortality and overall liver-related mortality was positive (Moran's I, 0.060; P = 0.001) but weaker. Several areas with high waitlist mortality had some of the lowest overall liver-related mortality in the country.ConclusionsThese data suggest that high waitlist mortality and allocation model for end-stage liver disease do not necessarily correlate with decreased access to transplant, whereas local transplant center density is associated with better access to waitlisting and transplant.
| S-EPMC9420757 | biostudies-literature
Project description:BackgroundIn the US, over 52.9 million (21%) adults lived with a mental health illness in 2020, with depression, being one of the commonest of these conditions. The World Health Organization ranks depression as the most important contributor to global disability. As frontline workers who are responsible for taking care of a myriad of patients daily, health workers are usually exposed to depressive situations which eventually result in the development of the condition among them. This study, therefore, developed an intervention to reduce depression among workers at the Outpatient Mental Health Clinic in Washington District of Columbia, United States.MethodsA pre-intervention survey was conducted among 43 employees. The survey used the already validated Patient Health Questionnaire depression scale (PHQ-9) to determine the prevalence of depression. The WHO Healthy Workplace Model was adopted in designing an instrument for the workplace determinants of depression. An mHealth intervention was then developed and implemented among the workers. After this, a post-intervention survey was conducted among the cohort. Descriptive and inferential statistics were adopted in analyzing the data with STATA.ResultsThe pre-intervention survey showed a depression prevalence of 30.2% among the employees. The post-intervention survey, however, showed that the prevalence of depression among the employees reduced to 12.6%. The surveys also showed that the majority of employees who felt exposed to workplace hazards including harmful chemicals, expressed feelings of depression (pre-intervention = 53.6%; post-intervention = 80%).ConclusionThe intervention designed for this study was effective in reducing self-reported depression among employees. Improving employee mental health in health care facilities will require awareness raising among employees, mental health friendly policies, and regular follow up of employee mental health needs. Though this intervention was on a small scale, it shows promise for using cheap mhealth solutions in improving mental health at the work place.
| S-EPMC9253413 | biostudies-literature
Project description:Improving access to optimal healthcare may depend on the attributes of neighborhoods where patients receive healthcare services. We investigated whether the characteristics of dialysis facility neighborhoods--where most patients with end-stage renal disease are treated--were associated with facility-level kidney transplantation.We examined the association between census tract (neighborhood)-level sociodemographic factors and facility-level kidney transplantation rate in 3,983 U.S. dialysis facilities where kidney transplantation rates were high. Number of kidney transplants and total person-years contributed at the facility level in 2007-2010 were obtained from the Dialysis Facility Report and linked to the census tract data on sociodemographic characteristics from the American Community Survey 2006-2010 by dialysis facility location. We used multivariable Poisson models with generalized estimating equations to estimate the link between the neighborhood characteristics and transplant incidence.Dialysis facilities in the United States were located in neighborhoods with substantially greater proportions of black and poor residents, relative to the national average. Most facility neighborhood characteristics were associated with transplant, with incidence rate ratios (95% CI) for standardized increments (in percentage) of neighborhood exposures of: living in poverty, 0.88 (0.84-0.92), black race, 0.83 (0.78-0.89); high school graduates, 1.22 (1.17-1.26); and unemployed, 0.90 (0.85-0.95).Dialysis facility neighborhood characteristics may be modestly associated with facility rates of kidney transplantation. The success of dialysis facility interventions to improve access to kidney transplantation may partially depend on reducing neighborhood-level barriers.
| S-EPMC4175288 | biostudies-literature
Project description:Receipt of nephrology care prior to end-stage renal disease (ESRD) is a strong predictor of decreased mortality and morbidity, and neighborhood poverty may influence access to care. Our objective was to examine whether neighborhood poverty is associated with lack of pre-ESRD care at dialysis facilities.In a multi-level ecological study using geospatially linked 2007-2010 Dialysis Facility Report and 2006-2010 American Community Survey data, we examined whether high neighborhood poverty (?20% of households in census tract living below poverty) was associated with dialysis facility-level lack of pre-ESRD care (percentage of patients with no nephrology care prior to dialysis start) in mixed-effects models, adjusting for facility and neighborhood confounders and allowing for neighborhood and regional random effects.Among the 5,184 facilities examined, 1,778 (34.3%) were located in a high-poverty area. Lack of pre-ESRD care was similar in poverty areas (30.8%) and other neighborhoods (29.6%). With adjustment, the absolute increase in percentage of patients at a facility with no pre-ESRD care associated with facility location in a poverty area versus other neighborhood was only 0.08% (95% CI -1.32, 1.47; p = 0.9). Potential effect modification by race and income inequality was detected.Despite previously reported detrimental effects of neighborhood poverty on health, facility neighborhood poverty was not associated with receipt of pre-ESRD care, suggesting no need to target interventions to increase access to pre-ESRD care at facilities in poorer geographic areas.
| S-EPMC3958935 | biostudies-literature
Project description: Not available
| S-EPMC4164417 | biostudies-literature
Project description:BackgroundA key goal of anemia management in dialysis patients is to maintain patients' hemoglobin (Hb) levels consistently within a target range. Our aim in this study was to assess the association of facility-level practice patterns representing Hb measurement and erythropoiesis-stimulating agent (ESA) dose adjustment frequencies with facility-level Hb variation.MethodsThis was a retrospective observational database analysis of patients in dialysis facilities affiliated with large dialysis organizations as of July 01, 2006, covering a follow-up period from July 01, 2006 to June 30, 2009. A total of 2,763 facilities representing 436,442 unique patients were included. The predictors evaluated were facility-level Hb measurement and ESA dose adjustment frequencies, and the outcome measured was facility-level Hb variation.ResultsFirst to 99th percentile ranges for facility-level Hb measurement and ESA dose adjustment frequencies were approximately once per month to once per week and approximately once per 3 months to once per 3 weeks, respectively. Facility-level Hb measurement and ESA dose adjustment frequencies were inversely associated with Hb variation. Modeling results suggested that a more frequent Hb measurement (once per week rather than once per month) was associated with approximately 7% to 9% and 6% to 8% gains in the proportion of patients with Hb levels within a ±1 and ±2 g/dL range around the mean, respectively. Similarly, more frequent ESA dose adjustment (once per 2 weeks rather than once per 3 months) was associated with approximately 6% to 9% and 5% to 7% gains in the proportion of patients in these respective Hb ranges.ConclusionsFrequent Hb measurements and timely ESA dose adjustments in dialysis patients are associated with lower facility-level Hb variation and an increase in proportion of patients within ±1 and ±2 g/dL ranges around the facility-level Hb mean.
| S-EPMC3123272 | biostudies-literature
Project description:COVID-19 is a global pandemic with uncertain death rates. We examined county-level population morality rates (per 100,000) and case fatality rates by US region and rural-urban classification, while controlling for demographic, socioeconomic, and hospital variables. We found that population mortality rates and case fatality rates were significantly different across region, rural-urban classification, and their interaction. All significant comparisons had p < 0.001. Northeast counties had the highest population mortality rates (27.4) but had similar case fatality rates (5.9%) compared to other regions except the Southeast, which had significantly lower rates (4.1%). Population mortality rates were highest in urban counties but conversely, case fatality rates were highest in rural counties. Death rates in the Northeast were driven by urban areas (e.g., small, East Coast states), while case fatality rates tended to be highest in the most rural counties for all regions, especially the Southwest. However, on further inspection, high case fatality rate percentages in the Southwest, as well as in overall US counties, were driven by a low case number. This makes it hard to distinguish genuinely higher mortality or an artifact of a small sample size. In summary, coronavirus deaths are not homogenous across the United States but instead vary by region and population and highlight the importance of fine-scale analysis.
| S-EPMC7551952 | biostudies-literature
Project description:BACKGROUND AND OBJECTIVES:Veterans with ESKD initiate dialysis under the Veterans Health Administration (VHA), an integrated health system, or are outsourced to non-VHA providers. It is unknown whether outcomes differ according to their dialysis provider at initiation. We sought to evaluate the association between dialysis provider and mortality and hospitalization among United States veterans initiating dialysis. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS:Among 68,727 United States veterans who initiated dialysis in 2007-2014, we examined the association of dialysis provider (VHA versus non-VHA) at initiation with mortality and hospitalization rates in the first 12 months post-initiation. Associations were examined across adjusted models, accounting for demographics and comorbidities. RESULTS:Patients were 72±11 years, 5% were women, 24% were black, and 10% (n=7584) initiated at VHA dialysis centers. VHA dialysis center patients were younger, more likely to be black, had fewer cardiovascular comorbidities, and lower eGFR at dialysis initiation. VHA provider patients were more likely to be hospitalized in the first 12 months (adjusted incidence rate ratio, 1.10; 95% confidence interval, 1.07 to 1.14), but had lower all-cause mortality risk (adjusted hazard ratio, 0.87; 95% confidence interval, 0.83 to 0.93) in fully adjusted models. CONCLUSIONS:Veteran patients initiating dialysis with a VHA dialysis provider appear to have a lower mortality risk but higher hospitalization rates than veterans initiating dialysis at non-VHA dialysis units.
| S-EPMC6032569 | biostudies-literature