scholarly journals Patients Reported Outcomes Measures (PROMs) Trajectories After Elective Hip Arthroplasty: A Latent Class Growth Analysis

Author(s):  
Davide Golinelli ◽  
Alberto Grassi ◽  
Dario Tedesco ◽  
Francesco Sanmarchi ◽  
Simona Rosa ◽  
...  

Abstract Background. Patient-Reported Outcome Measures (PROMs) are an extensively used tool to assess and improve the quality of healthcare services. PROMs are affected by individual characteristics in patients undergoing hip arthroplasty (HA). The aim of this study is to identify distinct groups of patients with unique score-trajectories using the Latent Class Growth Analysis (LCGA) technique and to determine patients’ features associated with these groups.Methods. We conducted a prospective, cohort study analyzing PROMs questionnaires (Euro Quality 5 Dimensions 3L, EQ-5D-3L, Euro-Quality-Visual-Analytic-Score, EQ-VAS, Hip disability and Osteoarthritis Outcome Score, HOOS-PS) administered to patients undergoing elective HA at successive time points. For each score, LCGA was carried out to identify subgroups of patients assessed pre-operatively, and at 6 and 12 months after HA. Multinomial logistic regression was used to identify the demographic and clinical characteristics associated with the latent trajectories.Results. We identified three distinct trajectories for each PROM score. These trajectories indicated high response heterogeneity to the HA among the patients (n=991): one trajectory showing an improvement at 6 months followed by a plateau, a second trajectory showing a lower starting level followed by a consistent improvement, and a third trajectory showing a modest improvement at 6 months followed by a modest decline at 12 months. Patient’s gender, ASA score ≥3, obesity and the main diagnosis were significantly associated with different PROMs trajectories.Conclusions. These findings underline the importance of patient-centered care, supporting the usefulness of integrating PROMs data alongside routinely collected healthcare records for guiding clinical care and maximizing patient outcomes. Trial registration number: Protocol version (1.0) and trial registration data are available on the platform www.clinicaltrial.gov with the identifier NCT03790267, posted on December 31, 2018.

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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