scholarly journals On the Category Adjustment Model: Another Look at Huttenlocher, Hedges, and Vevea (2000)

2017 ◽  
Author(s):  
Sean Duffy ◽  
John Smith
Keyword(s):  
Adjustment Model ◽  
Category Adjustment Model

scholarly journals Categorical perception of facial expressions: Evidence for a “category adjustment” model

2007 ◽  
Vol 35 (7) ◽  
pp. 1814-1829 ◽  
Author(s):  
Debi Roberson ◽  
Ljubica Damjanovic ◽  
Michael Pilling
Keyword(s):  
Facial Expressions ◽  
Categorical Perception ◽  
Adjustment Model ◽  
Category Adjustment Model

scholarly journals Adjusting Client-Level Risks Impacts on Home Care Organization Ranking

2021 ◽  
Vol 18 (11) ◽  
pp. 5502
Author(s):  
Aylin Wagner ◽  
René Schaffert ◽  
Julia Dratva
Keyword(s):  
Risk Factors ◽  
Home Care ◽  
Risk Adjustment ◽  
Care Quality ◽  
Assessment Instrument ◽  
Care Organization ◽  
Discrimination Power ◽  
Adjustment Model ◽  
Risk Adjustment Model ◽  
The Impact

Quality indicators (QIs) based on the Resident Assessment Instrument-Home Care (RAI-HC) offer the opportunity to assess home care quality and compare home care organizations’ (HCOs) performance. For fair comparisons, providers’ QI rates must be risk-adjusted to control for different case-mix. The study’s objectives were to develop a risk adjustment model for worsening or onset of urinary incontinence (UI), measured with the RAI-HC QI bladder incontinence, using the database HomeCareData and to assess the impact of risk adjustment on quality rankings of HCOs. Risk factors of UI were identified in the scientific literature, and multivariable logistic regression was used to develop the risk adjustment model. The observed and risk-adjusted QI rates were calculated on organization level, uncertainty addressed by nonparametric bootstrapping. The differences between observed and risk-adjusted QI rates were graphically assessed with a Bland-Altman plot and the impact of risk adjustment examined by HCOs tertile ranking changes. 12,652 clients from 76 Swiss HCOs aged 18 years and older receiving home care between 1 January 2017, and 31 December 2018, were included. Eight risk factors were significantly associated with worsening or onset of UI: older age, female sex, obesity, impairment in cognition, impairment in hygiene, impairment in bathing, unsteady gait, and hospitalization. The adjustment model showed fair discrimination power and had a considerable effect on tertile ranking: 14 (20%) of 70 HCOs shifted to another tertile after risk adjustment. The study showed the importance of risk adjustment for fair comparisons of the quality of UI care between HCOs in Switzerland.

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