Evaluating national trends in outcomes after implementation of a star rating system: Results from dialysis facility compare
dc.contributor.author | Salerno, Stephen | |
dc.contributor.author | Dahlerus, Claudia | |
dc.contributor.author | Messana, Joseph | |
dc.contributor.author | Wisniewski, Karen | |
dc.contributor.author | Tong, Lan | |
dc.contributor.author | Hirth, Richard A. | |
dc.contributor.author | Affholter, Jordan | |
dc.contributor.author | Gremel, Garrett | |
dc.contributor.author | Wu, YiFan | |
dc.contributor.author | Zhu, Ji | |
dc.contributor.author | Roach, Jesse | |
dc.contributor.author | Balovlenkov RN, Elena | |
dc.contributor.author | Andress, Joel | |
dc.contributor.author | Li, Yi | |
dc.date.accessioned | 2021-02-04T21:48:46Z | |
dc.date.available | 2022-03-04 16:48:44 | en |
dc.date.available | 2021-02-04T21:48:46Z | |
dc.date.issued | 2021-02 | |
dc.identifier.citation | Salerno, Stephen; Dahlerus, Claudia; Messana, Joseph; Wisniewski, Karen; Tong, Lan; Hirth, Richard A.; Affholter, Jordan; Gremel, Garrett; Wu, YiFan; Zhu, Ji; Roach, Jesse; Balovlenkov RN, Elena; Andress, Joel; Li, Yi (2021). "Evaluating national trends in outcomes after implementation of a star rating system: Results from dialysis facility compare." Health Services Research (1): 123-131. | |
dc.identifier.issn | 0017-9124 | |
dc.identifier.issn | 1475-6773 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/166162 | |
dc.description.abstract | ObjectiveTo examine which factors are driving improvement in the Dialysis Facility Compare (DFC) star ratings and to test whether nonclinical facility characteristics are associated with observed longitudinal changes in the star ratings.Data SourcesData were collected from eligible patients in over 6,000 Medicare‐certified dialysis facilities from three annual star rating and individual measure updates, publicly released on DFC in October 2015, October 2016, and April 2018.Study DesignChanges in the star rating and individual quality measures were investigated across three public data releases. Year‐to‐year changes in the star ratings were linked to facility characteristics, adjusting for baseline differences in quality measure performance.Data CollectionData from publicly reported quality measures, including standardized mortality, hospitalization, and transfusion ratios, dialysis adequacy, type of vascular access for dialysis, and management of mineral and bone disease, were extracted from annual DFC data releases.Principal FindingsThe proportion of four‐ and five‐star facilities increased from 30.0% to 53.4% between October 2015 and April 2018. Quality improvement was driven by the domain of care containing the dialysis adequacy and hypercalcemia measures. Additionally, independently owned facilities and facilities belonging to smaller dialysis organizations had significantly lower odds of year‐to‐year improvement than facilities belonging to either of the two large dialysis organizations (Odds Ratio [OR]: 0.736, 95% Confidence Interval [CI]: 0.631‐0.856 and OR: 0.797, 95% CI: 0.723‐0.879, respectively).ConclusionsThe percentage of four‐ and five‐star facilities has increased markedly over a three‐year time period. These changes were driven by improvement in the specific quality measures that may be most directly under the control of the dialysis facility. | |
dc.publisher | Mathematica Policy Research | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | public reporting | |
dc.subject.other | quality measures | |
dc.subject.other | star ratings | |
dc.subject.other | dialysis | |
dc.subject.other | medicare | |
dc.title | Evaluating national trends in outcomes after implementation of a star rating system: Results from dialysis facility compare | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Public Health | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166162/1/hesr13600.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166162/2/hesr13600-sup-0001-AuthorMatrix.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166162/3/hesr13600_am.pdf | |
dc.identifier.doi | 10.1111/1475-6773.13600 | |
dc.identifier.doi | https://dx.doi.org/10.7302/85 | |
dc.identifier.source | Health Services Research | |
dc.identifier.citedreference | Grabowski DC, Town RJ. Does information matter? Competition, quality, and the impact of nursing home report cards. Health Serv Res. 2011; 46 ( 6pt1 ): 1698 – 1719. | |
dc.identifier.citedreference | Frederick PR, Maxey NL, Clauser SB, Sugarman JR. Developing dialysis facility‐specific performance measures for public reporting. Health Care Financ Rev. 2002; 23 ( 4 ): 37 – 50. | |
dc.identifier.citedreference | Health Care Transparency: Actions Needed to Improve Cost and Quality Information for Consumers. In: Office USGA, ed. Vol GAO‐15‐11. Washington DC: October 2014. | |
dc.identifier.citedreference | Gerteis M, Thomas C, Blatt L, et al. Quality Reporting on Medicare’s Compare Sites: Lessons Learned from Consumer Research, 2001–2014. Princeton: Mathematica Policy Research; 2015. | |
dc.identifier.citedreference | University of Michigan Kidney Epidemiology and Cost Center. Technical Notes on the Updated Dialysis Facility Compare Star Rating Methodology. 2016. https://dialysisdata.org/sites/default/files/content/Methodology/UpdatedDFCStarRatingMethodology.pdf. Accessed August 24, 2018. | |
dc.identifier.citedreference | Ratcliffe MR. Creating metropolitan and micropolitan statistical areas. Measuring Rural Diversity. 2006; 3 ( 1 ): 1 – 13. Accessed August 24, 2018 | |
dc.identifier.citedreference | Kind AJ, Buckingham WR. Making neighborhood‐disadvantage metrics accessible—the neighborhood atlas. N Engl J Med. 2018; 378 ( 26 ): 2456. | |
dc.identifier.citedreference | Zeger SL, Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986; 42 ( 1 ): 121 – 130. | |
dc.identifier.citedreference | Heagerty PJ, Zeger SL. Marginal regression models for clustered ordinal measurements. J Am Stat Assoc. 1996; 91 ( 435 ): 1024 – 1036. | |
dc.identifier.citedreference | SAS Institute. SAS SJC. Cary, NC: SAS Institute. 9.4 [Computer Program]; 2013. | |
dc.identifier.citedreference | Weiner DE. Assessing quality care in kidney disease: the double‐edged sword versus the Gordian knot. Semin Dial. 2020; 33 ( 1 ): 10 – 17. | |
dc.identifier.citedreference | Gupta N, Wish JB. Do current quality measures truly reflect the quality of dialysis? Semin Dial. 2018; 31 ( 4 ): 406 – 414. | |
dc.identifier.citedreference | Perraillon MC, Brauner DJ, Konetzka RT. nursing home response to nursing home compare: the provider perspective. Med Care Res Rev. 2019; 76 ( 4 ): 425 – 443. | |
dc.identifier.citedreference | Szczech LA, Klassen PS, Chua B, et al. Associations between CMS’s Clinical Performance Measures project benchmarks, profit structure, and mortality in dialysis units. Kidney Int. 2006; 69 ( 11 ): 2094 – 2100. | |
dc.identifier.citedreference | Zhang Y. The association between dialysis facility quality and facility characteristics, neighborhood demographics, and region. Am J Med Qual. 2016; 31 ( 4 ): 358 – 363. | |
dc.identifier.citedreference | Foley RN, Fan Q, Liu J, et al. Comparative mortality of hemodialysis patients at for‐profit and not‐for‐profit dialysis facilities in the United States, 1998 to 2003: a retrospective analysis. BMC Nephrol. 2008; 9: 6. | |
dc.identifier.citedreference | Fuller DS, Robinson BM. Facility practice variation to help understand the effects of public policy: insights from the Dialysis Outcomes and Practice Patterns Study (DOPPS). Clin J Am Soc Nephrol. 2017; 12 ( 1 ): 190 – 199. | |
dc.identifier.citedreference | Pozniak A, Pearson J. The dialysis facility compare five‐star rating system at 2 years. Clin J Am Soc Nephrol. 2018; 13 ( 3 ): 474 – 476. | |
dc.identifier.citedreference | Nissenson AR. Improving outcomes for ESRD patients: shifting the quality paradigm. Clin J Am Soc Nephrol. 2014; 9 ( 2 ): 430 – 434. | |
dc.identifier.citedreference | Williams A, Straker JK, Applebaum R. The nursing home five star rating: how does it compare to resident and family views of care? Gerontologist. 2016; 56 ( 2 ): 234 – 242. | |
dc.identifier.citedreference | Konetzka RT, Grabowski DC, Perraillon MC, Werner RM. Nursing home 5‐star rating system exacerbates disparities in quality, by payer source. Health Aff (Millwood). 2015; 34 ( 5 ): 819 – 827. | |
dc.identifier.citedreference | Konetzka RT, Perraillon MC. Use of nursing home compare website appears limited by lack of awareness and initial mistrust of the data. Health Aff (Millwood). 2016; 35 ( 4 ): 706 – 713. | |
dc.identifier.citedreference | Ryskina KL, Konetzka RT, Werner RM. Association between 5‐star nursing home report card ratings and potentially preventable hospitalizations. Inquiry. 2018; 55: 46958018787323. | |
dc.identifier.citedreference | Brauner D, Werner RM, Shippee TP, Cursio J, Sharma H, Konetzka RT. Does nursing home compare reflect patient safety in nursing homes? Health Aff (Millwood). 2018; 37 ( 11 ): 1770 – 1778. | |
dc.identifier.citedreference | Wang DE, Tsugawa Y, Figueroa JF, Jha AK. Association between the centers for medicare and medicaid services hospital star rating and patient outcomes. JAMA Intern Med. 2016; 176 ( 6 ): 848 – 850. | |
dc.identifier.citedreference | Figueroa J, Feyman Y, Blumenthal D, Jha A. Do the stars align? Distribution of high‐quality ratings of healthcare sectors across US markets. BMJ Qual Saf. 2018; 27 ( 4 ): 287 – 292. | |
dc.identifier.citedreference | Saran R, Robinson B, Abbott KC, et al. US renal data system 2016 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis. 2017; 69 ( 3 ): A7 – A8. | |
dc.identifier.citedreference | Stephens JM, Brotherton S, Dunning SC, et al. Geographic disparities in patient travel for dialysis in the United States. J Rural Health. 2013; 29 ( 4 ): 339 – 348. | |
dc.identifier.citedreference | Moist LM, Bragg‐Gresham JL, Pisoni RL, et al. Travel time to dialysis as a predictor of health‐related quality of life, adherence, and mortality: the Dialysis Outcomes and Practice Patterns Study (DOPPS). Am J Kidney Dis. 2008; 51 ( 4 ): 641 – 650. | |
dc.identifier.citedreference | Chanouzas D, Ng KP, Fallouh B, Baharani J. What influences patient choice of treatment modality at the pre‐dialysis stage? Nephrol Dialysis Transplant. 2012; 27 ( 4 ): 1542 – 1547. | |
dc.working.doi | 10.7302/85 | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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