Observational studyBMC nephrology2014
Confounders of mortality and hospitalization rate calculations for profit and nonprofit dialysis facilities: analytic augmentation.
Observational study in BMC nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- The Association of Social Determinants of Health on Mortality among Adults with End-Stage Kidney Disease: a Systematic Review and Meta-Analysis.Journal of racial and ethnic health disparities · 2026Review
- Effect of profit status in facilities on the mortality of patients on long-term haemodialysis: a nationwide cohort study.BMJ open · 2021Article
- Clinical outcomes of hemodialysis patients in a public-private partnership care framework in Italy: a retrospective cohort study.BMC nephrology · 2019Article
- Effect of patient solicitation on mortality among patients receiving hemodialysis in Korea.Patient preference and adherence · 2019Article
- Re-evaluation of re-hospitalization and rehabilitation in renal research.Hemodialysis international. International Symposium on Home Hemodialysis · 2017Article
- Dialyzer Reuse and Outcomes of High Flux Dialysis.PloS one · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient outcomes have been compared on the basis of the profit status of the dialysis provider (for-profit [FP] and not-for-profit [NFP]). In its annual report, United States Renal Data System (USRDS) provides dialysis provider level death and hospitalization rates adjusted by age, race, sex, and dialysis vintage; however, recent analyses have suggested that other variables impact these outcomes. Our current analysis of hospitalization and mortality rates of hemodialysis patients included adjustments for those used by the USRDS plus other potential confounders: facility geography (end-stage renal disease network), length of facility ownership, vascular access at first dialysis session, and pre-dialysis nephrology care.
methodsWe performed a provider level, retrospective analysis of 2010 hospitalization and mortality rates among US hemodialysis patients exclusively using USRDS sources. Crude and adjusted incidence rate ratios (IRRs) were calculated using the 4 standard USRDS patient factors plus the 4 potential confounders noted above.
resultsThe analysis included 366,011 and 34,029 patients treated at FP and NFP facilities, respectively. There were statistical differences between the cohorts in geography, facility length of ownership, vascular access, and pre-dialysis nephrology care (p < 0.001), as well as age (p < 0.01), race (p < 0.001), and vintage (p < 0.001), but not sex (p = 0.12). When using standard USRDS adjustments, hospitalization and mortality rates for FP and NFP facilities were most disparate, favoring the NFP facilities. Rates were most similar between providers when adjustments were made for each of the 8 factors. With the FP IRR as the referent (1.0), the hospitalization IRR for NFP facilities was 1.00 (95% confidence interval [CI] 0.97-1.02; p = 0.69), while the NFP mortality IRR was 1.01 (95% CI 0.97-1.05; p = 0.64).
conclusionsThese data suggest there is no difference in mortality and hospitalization rates between FP and NFP dialysis clinics when appropriate statistical adjustments are made.
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