scholarly journals Understanding Nursing Home Responses to Minnesota’s New Value Based Reimbursement System

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 86-87
Author(s):  
Zachary Hass ◽  
Kathleen Abrahamson ◽  
Dongjuan Xu ◽  
Valerie Cooke

Abstract Even though Value Based Reimbursement (VBR) systems for nursing homes (NH) continue to expand, we have little understanding of how NH respond to VBR. In 2016, Minnesota passed VBR legislation for NHs that increased care-related funding and tied increases to a facility’s composite quality score. While care-related expenditures increased with VBR, the incentive for quality did not work as intended. We investigated the differential responses of facilities in their care-related expenditures and quality scores. Data were derived from cost reports and quality measures for the years 2013-2017 from 300 free-standing Minnesota NHs. Latent Class Growth Analysis was used to cluster facilities by their joint care-related cost and quality score trajectories over the period. Three interpretable trajectory clusters emerged: medium-to-high cost and medium-to-high quality (n=172), low cost and medium-to-high quality (n=54), and low cost and low quality (n=74), all during the pre-VBR period. In all three clusters cost rose significantly with VBR, but only in the low cost and low quality cluster did quality also rise significantly. The quality improving cluster had the highest percentage of government-owned and rural facilities as well as the largest annual increase in care related spending. The medium-to-high cost and medium-to-high quality cluster had the highest concentration of urban facilities (Twin City Metro Area) and were the most likely to be non-profit and chain owned. Although the new VBR system appeared effective in achieving its goals for a subset of facilities with lowest cost and quality, the majority of facilities increased care-related costs without improved quality.

2021 ◽  
Author(s):  
Maartje Boer ◽  
gonneke stevens ◽  
Catrin Finkenauer ◽  
Regina van den Eijnden

Little is known about how addiction-like social media use (SMU) problems evolve over time. Using four waves of longitudinal data collected in 2015-2019 from 1,414 adolescents (Mage = 12.5, 46.0% girl, 21.9% immigrant background), this study aimed to identify adolescents’ trajectories of SMU problems in parallel with their trajectories of SMU intensity. Latent class growth analysis identified two subgroups with persistently high levels of SMU problems, of which one with high (24.7%) and one with average SMU intensity (14.8%), and two subgroups with persistently low levels of SMU problems, of which one with low (22.3%) and one with high SMU intensity (38.2%). Compared to the largest subgroup, the two subgroups with high levels of SMU problems showed more problematic profiles.


2017 ◽  
Vol 54 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Marilyn J. Hockenberry ◽  
Mary C. Hooke ◽  
Cheryl Rodgers ◽  
Olga Taylor ◽  
Kari M. Koerner ◽  
...  

2017 ◽  
Vol 22 (2) ◽  
pp. 135-147
Author(s):  
Shelley R. Hart ◽  
Rashelle J. Musci ◽  
Tal Slemrod ◽  
Emily Flitsch ◽  
Nicholas Ialongo

2018 ◽  
Vol 25 (13-14) ◽  
pp. 2233-2243 ◽  
Author(s):  
Chih-Tao Cheng ◽  
Samuel MY Ho ◽  
Yi-Chen Hou ◽  
Yihuan Lai ◽  
Ging-Long Wang

A total of 84 breast cancer survivors completed a package of psychological inventories in 2009 (Time 1), 2012 (Time 2), and 2016 (Time 3). Latent class growth analysis revealed three posttraumatic growth trajectory patterns: distressed posttraumatic growth ( n = 5, 6.7%), illusory posttraumatic growth ( n = 42, 56.0%), and constructive posttraumatic growth ( n = 28, 37.3%). Women with more frequent use of helplessness–hopelessness coping and lower depression levels at Time 1 were more likely to display an illusory than a constructive posttraumatic growth trajectory pattern. Illusory posttraumatic growth might represent a form of coping rather than authentic positive changes. Researchers and clinicians should understand different patterns of posttraumatic growth.


Polar Record ◽  
2019 ◽  
Vol 55 (2) ◽  
pp. 93-101
Author(s):  
Clare Hawkes ◽  
Kimberley Norris ◽  
Jeff Ayton ◽  
Douglas Paton

AbstractIt has long been argued that mood fluctuation patterns in Antarctic expeditioners are largely homogeneous. This research investigated mood fluctuation patterns throughout all the stages of Antarctic deployment using latent class growth analysis. Utilising advanced statistical methods, such as latent class growth analysis, can greatly help in identifying if mood fluctuation patterns experienced by Antarctic expeditioners are homogenous, and provide insight into mood fluctuation patterns, which was not possible with traditional group-based quantitative methods. Gaining a greater insight into mood fluctuation patterns in Antarctic expeditioners can assist with the development, and implementation of, strategies to assist with expeditioner well-being. The analysis was conducted on 423 expeditioner from the Australian Antarctic program between the 2005-2009 Antarctic deployment seasons. The results supported the notion that mood fluctuation patterns in expeditioners within the Australian-Antarctic programme were largely homogeneous, as a 1-class cubic latent class growth model was identified as being the optimal fit for the dataset. Theoretical and practical implications are discussed in relation to research and prevention and intervention strategies.


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