HIV Quality Report Cards: Impact of Case-Mix Adjustment and Statistical Methods | Zendy

Michael Ohl | Zendy; Kelly Richardson | Zendy; Michihiko Goto | Zendy; Mary VaughanSarrazin | Zendy; Marin L. Schweizer | Zendy; Eli N. Perencevich | Zendy

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HIV Quality Report Cards: Impact of Case-Mix Adjustment and Statistical Methods

Author(s) -

Michael Ohl,

Kelly Richardson,

Michihiko Goto,

Mary VaughanSarrazin,

Marin L. Schweizer,

Eli N. Perencevich

Publication year - 2014

Publication title -

clinical infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.44

H-Index - 336

eISSN - 1537-6591

pISSN - 1058-4838

DOI - 10.1093/cid/ciu551

Subject(s) - medicine , case mix index , ranking (information retrieval) , statistic , outlier , public health , viral load , missing data , case control study , human immunodeficiency virus (hiv) , statistics , family medicine , nursing , computer science , mathematics , machine learning

There will be increasing pressure to publicly report and rank the performance of healthcare systems on human immunodeficiency virus (HIV) quality measures. To inform discussion of public reporting, we evaluated the influence of case-mix adjustment when ranking individual care systems on the viral control quality measure.

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