Using USRDS generated hospitalization tables to compare local dialysis patient hospitalization rates to national rates

Outcomes of Deceased Donor Kidney Offers to Patients at the Top of the Waiting List

BACKGROUND AND OBJECTIVES

Transplant centers may accept or refuse deceased-donor kidneys that are offered to their patients at the top of the waiting list. We sought to determine the outcomes of deceased-donor kidney offers and their association with characteristics of waitlisted patients and organ donors.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We examined all 7 million deceased-donor adult kidney offers in the United States from 2007 to 2012 that led to eventual transplantation. Data were obtained from the national organ allocation system through the United Network of Organ Sharing. The study cohort consisted of 178,625 patients waitlisted for a deceased-donor kidney transplant and 31,230 deceased donors. We evaluated offers made to waitlisted patients and their outcomes (transplantation or specific reason for refusal).

RESULTS

Deceased-donor kidneys were offered a median of seven times before being accepted for transplantation. The most common reasons for refusal of an offer were donor-related factors, e.g., age or organ quality (3.2 million offers, 45.0%), and transplant center bypass, e.g., minimal acceptance criteria not met (3.2 million offers, 44.0%). After adjustment for characteristics of waitlisted patients, organ donors, and transplant centers, male (odds ratio [OR], 0.93; 95% confidence interval [95% CI], 0.91 to 0.95) and Hispanic (OR, 0.96; 95% CI, 0.93 to 0.99) waitlisted patients were less likely to have an offer accepted than female and white patients, respectively. The likelihood of offer acceptance varied greatly across transplant centers (interquartile ratio, 2.28).

CONCLUSIONS

Transplant centers frequently refuse deceased-donor kidneys. Such refusals differ by patient and donor characteristics, may contribute to disparities in access to transplantation, and vary greatly across transplant centers.

PODCAST

This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2017_07_27_Huml.mp3.

Use of Japanese Society for Dialysis Therapy dialysis tables to compare the local and national incidence of dialysis

The Japanese Society for Dialysis Therapy generates many tables of data on dialysis patients in their annual reports. These tables, derived from over 37 000 patients who started dialysis in 2008, allow comparison of the local incidence of new dialysis patients with the national incidence by estimating a standardized incidence ratio and confidence interval. Since this method adjusts for age and gender, it may be useful to evaluate local strategies for managing chronic kidney disease, including the response to campaigns and local quality assurance. Furthermore, the end-stage renal disease population of other countries can also be directly compared by this method. That is, the age- and gender-adjusted incidence of dialysis can be calculated for another country and compared with the national data for Japan. This might be one step toward improving local care and preventing the progression of chronic kidney disease.

Hospital admissions in elderly patients on chronic hemodialysis

BACKGROUND

The purpose of this study was to determine whether number of hospital admissions per patient per year (n/[pt-yr]) and hospital days per patient per year (d/[pt-yr]) differ between elderly and younger patients on chronic hemodialysis (HD).

PATIENTS AND METHODS

In a retrospective cohort analysis of incident HD patients in one dialysis unit over 15 years, we compared 166 HD patients older than 70 years (77.1 ± 4.7 yrs) at the onset of HD (group A) and 216 patients younger than 70 years both at onset (57.1 ± 7.6 yrs) and at the end of the HD period (group B). Eighty (48.2%) of group A and 141 (65.3%) patients of group B had diabetes mellitus.

RESULTS

No differences were noted in the overall hospitalization rate, presented as mean, {95% Confidence interval} (group A 2.40 {2.04-2.75}, group B 2.03 {1.89-2.16} n[pt-yr]) and days/[pt-year] (group A 33.6 {25.3-41.8}, group B 24.1 {18.9-29.23}). Group A had higher number of hospitalization days (P = 0.012) for surgery or trauma and higher rate (P = 0.045) and days (P = 0.041) of hospitalization for miscellaneous causes, primarily pulmonary disease, or malignancy. Among diabetic patients, group A had only a greater number of hospital days for cardiac disease (P = 0.050). Among patients without diabetes, group A had a higher number for hospital days for surgery or trauma (P = 0.027). All other univariate comparisons were not significant. Multiple linear regression identified comorbidity, quantified by the Charlson index, Caucasian race and poor compliance with the HD schedule as predictors of admission rate and days per year for vascular access issues and comorbidity, poor compliance, and advanced age at onset of HD as predictors of admission for causes other than vascular access related.

CONCLUSION

Hospitalizations, which affect quality of life, differ little between elderly and younger patients on HD. Therefore, hospitalizations do not constitute an argument for restricting access to HD to elderly patients.

The morbidity and cost implications of hemodialysis clinical performance measures

Clinical performance measures, including dialysis dose, hemoglobin, albumin, and vascular access, are the focus of monitoring and quality improvement activities. However, little is known about the implications of clinical performance measures for hospital utilization and health care costs. We obtained clinical performance measures and hospitalization records for a national random sample of 10,650 hemodialysis patients and analyzed the relationship between changes in clinical performance measures and hospital utilization after adjustment for patient demographic and medical characteristics. Higher hemoglobin, higher albumin, and fistula or graft use were independently associated with fewer hospitalizations, fewer hospital days, and decreased Medicare inpatient reimbursement. For example, a 0.5 g/dL higher hemoglobin, a 0.25 g/dL higher albumin, fistula use, and graft use were associated with hospitalization rate ratios of 0.90 (95% confidence interval 0.85, 0.96), 0.64 (0.53, 0.77), 0.60 (0.52, 0.69), and 0.79 (0.71, 0.89), respectively. Moreover, there was a 2-3-fold variation in hospital utilization across end-stage renal disease networks that was still evident after adjustment for patient characteristics and clinical performance measures. Clinical performance measures, especially albumin and vascular access, are strongly associated with hospital utilization and health care costs. These results highlight the importance of targeting nutrition and vascular access in quality improvement efforts. The marked variation in hospital utilization across networks deserves further examination.

Variation in access to kidney transplantation across dialysis facilities: using process of care measures for quality improvement

BACKGROUND

Kidney transplantation rates differ by patient and dialysis-facility characteristics, yet little is known about the sources of this variation or how access to transplantation can be improved. Examining specific steps in the transplantation process may guide quality improvement efforts that ultimately improve the equity and efficiency of transplantation.

METHODS

We sought to examine variation across dialysis facilities in the completion of four specific steps (medical suitability, interest in transplantation, pretransplantation workup, and waiting list) after adjustment for patient characteristics. Using 11,674 patients on chronic hemodialysis therapy between January 1993 and December 1996 at 206 facilities in Indiana, Kentucky, and Ohio, we derived facility-specific: (1) actual completion rates at each step; (2) expected completion rates based on patient age, race, sex, and cause of renal failure; and (3) ratio of actual to expected completion rates.

RESULTS

Actual completion rates varied greatly, with facilities at the 75th percentile having a twofold greater completion rate than facilities at the 25th percentile (eg, 59% versus 32% at the first step). Although patient characteristics were strongly associated with step completion, adjustment for these characteristics did not decrease variation across facilities. At each step, approximately 20% of facilities had a significantly greater than expected completion rate, whereas approximately 15% had a significantly lower than expected completion rate.

CONCLUSION

There is substantial variation across dialysis facilities in access to kidney transplantation, even after adjustment for patient characteristics. Identifying steps with less than expected completion rates may help facilities target such efforts as treatment of medical conditions, patient education, and early referral for pretransplantation workup and waiting list placement.

Using a standardized donor ratio to assess the performance of organ procurement organizations

OBJECTIVE

To develop a Standardized Donor Ratio (SDR) as an outcome measure for evaluating the effectiveness of organ procurement organizations (OPOs).

DATA SOURCES/STUDY SETTING

All deaths by cause in the United States during 1993-1994 as reported in the Vital Mortality Statistics, Multiple Cause of Death files. The OPO-specific data were provided by the United Network for Organ Sharing (UNOS).

STUDY DESIGN

Each OPO's expected number of donors was calculated by applying national donation rates to deaths with potential for donation in 24 age, sex, and race cells. The SDR was calculated by dividing the observed number of donors by the expected number. The chi2 tests of the hypothesis that the OPO's performance differed from the national norm of 1.0 were performed. The SDR was compared to the existing performance standard based on the unadjusted number of donors per million live population in the OPO's service area. An ordinary least squares (OLS) regression assessed predictors of the SDR.

PRINCIPAL FINDINGS

The SDRs ranged from 0.41 to 1.99. Twenty-nine of 64 OPOs had SDRs significantly different than 1.0. The SDRs were positively associated with the percent of white living population and the number of organ types transplanted per transplant center served by the OPO.

CONCLUSIONS

The SDRs can be used by Centers for Medicare and Medicaid Services (CMS), UNOS, and OPOs to target quality improvement initiatives, present more accurate comparisons of OPO performance, and develop public policy on the evaluation of the effectiveness of organ procurement efforts.

Use of standardized ratios to examine variability in hemodialysis vascular access across facilities. Medical Review Board of The Renal Network, Inc

The type of hemodialysis vascular access (catheter, fistula, graft) is an important determinant of patient morbidity and dialysis efficiency. The relative importance of patient versus provider factors in determining type of vascular access is unclear. We sought to develop a quality improvement tool that adjusts for differences in patient characteristics, thereby allowing examination of provider-related variability in types of vascular access used across facilities. We examined 15,339 patients from 216 chronic hemodialysis units in Indiana, Kentucky, Ohio, and Illinois and found that 20% of patients had catheters, 24% had fistulas, and 56% had grafts. Young, male, and white patients were more likely to have fistulas, whereas old, female, and black patients were more likely to have grafts. Diabetics were more likely to have catheters and less likely to have fistulas. New patients were more likely to have catheters and less likely to have grafts. A facility specific standardized catheter ratio (SCR), standardized fistula ratio (SFR), and standardized graft ratio (SGR) were calculated based on the actual number of patients with each type of vascular access divided by the expected number adjusted for patient characteristics. Facility SCRs ranged from 0.00 to 2.87. Of the 216 facilities, 38 (18%) had an SCR significantly less than 1.00, and 32 (15%) had an SCR significantly greater than 1.00. Similar variability was observed in SFRs and SGRs. In conclusion, the type of vascular access varies greatly across facilities. Use of standardized access ratios adjusted for patient characteristics may help providers examine processes of care that contribute to variability in access use. Analogous to the standardized mortality ratio, the SCR, SFR, and SGR should be effective quality improvement tools.