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10.1093/intqhc/mzab036 http://scihub22266oqcxt.onion/10.1093/intqhc/mzab036 33644795!7989431!33644795     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33644795&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Qual+Health+Care 2021 ; 33 (1): ä Nephropedia Template TP {{tp|p=33644795|t=2021. Demographics matter: the potentially disproportionate effect of COVID-19 on hospital ratings |pdf=|usr=}}{{33644795}} gab.com Text Demographics matter: the potentially disproportionate effect of COVID-19 on hospital ratings JO: Int J Qual Health Care http://www.kidney.de/pget.php?&tw=1&pmid=33644795 #FOAvip OBJECTIVE: To identify how features of the community in which a hospital serves differentially relate to its patients' experiences based on the quality of that hospital. DESIGN: A Finite Mixture Model (FMM) is used to uncover a mix of two latent groups of hospitals that differ in quality. In the FMM, a multinomial logistic equation relates hospital-level factors to the odds of being in either group. And a multiple linear regression relates the characteristics of communities served by hospitals to the patients' expected ratings of their experiences at hospitals in each group. Thus, this association potentially varies with hospital quality. The analysis was conducted via Stata. SETTING: Hospital Ratings are measured by Hospital Compare using the HCAHPS survey, a patient satisfaction survey required by the Centers for Medicare and Medicaid Services (CMS) for hospitals in the United States. Participants: 2,816 Medicare-certified acute care hospitals across all US states. Twit Text FOAVip Demographics matter: the potentially disproportionate effect of COVID-19 on hospital ratings ????Int J Qual Health Care http://www.kidney.de/pget.php?&tw=1&pmid=33644795 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33644795 #FOAvip English Wikipedia <ref>{{Cite pmid|33644795}}</ref> Demographics matter: the potentially disproportionate effect of COVID-19 on hospital ratings #MMPMID33644795 Belasen AR; Tracey MR; Belasen AT Int J Qual Health Care 2021[Mar]; 33 (1): ä PMID33644795show ga OBJECTIVE: To identify how features of the community in which a hospital serves differentially relate to its patients' experiences based on the quality of that hospital. DESIGN: A Finite Mixture Model (FMM) is used to uncover a mix of two latent groups of hospitals that differ in quality. In the FMM, a multinomial logistic equation relates hospital-level factors to the odds of being in either group. And a multiple linear regression relates the characteristics of communities served by hospitals to the patients' expected ratings of their experiences at hospitals in each group. Thus, this association potentially varies with hospital quality. The analysis was conducted via Stata. SETTING: Hospital Ratings are measured by Hospital Compare using the HCAHPS survey, a patient satisfaction survey required by the Centers for Medicare and Medicaid Services (CMS) for hospitals in the United States. Participants: 2,816 Medicare-certified acute care hospitals across all US states. |*Socioeconomic Factors[MESH] |Age Factors[MESH] |COVID-19/*epidemiology[MESH] |Centers for Medicare and Medicaid Services, U.S./*standards[MESH] |Female[MESH] |Humans[MESH] |Linear Models[MESH] |Male[MESH] |Patient Satisfaction/statistics & numerical data[MESH] |Quality Indicators, Health Care/*statistics & numerical data[MESH] |Residence Characteristics/statistics & numerical data[MESH] |SARS-CoV-2[MESH] |Sex Factors[MESH]Demographics matter: the potentially disproportionate effect of COVID-(epmc).pdf DeepDyve Pubget Overpricing