Latent Profile Analysis in Health Research: A Case Study

In recent years, quantitative methods and psychometric analyses have been an integral component in the process of developing and evaluating health measurement instruments. The objective of the present study is to demonstrate the potential and usefulness of the person-centered approach in the field of e-health by identifying groups of patients with similar characteristics. Based on a sample of data and using latent profile analysis (LPA) in Mplus 7.4, four profiles (groups) that differ between themselves both quantitatively (level) and qualitative (shape) were identified. A one-way multivariate analysis of variance (MANOVA) showed that there are significant differences between the four profiles.

[1]  R. Hays,et al.  Two-item PROMIS® global physical and mental health scales , 2017, Journal of Patient-Reported Outcomes.

[2]  Ciprian Dobre,et al.  Insights into Collaborative Platforms for Social Media Use Cases , 2017 .

[3]  Katherine E. Masyn,et al.  Latent Class Analysis and Finite Mixture Modeling , 2013 .

[4]  Dena A. Pastor,et al.  A latent profile analysis of college students’ achievement goal orientation , 2007 .

[5]  Alexandre J. S. Morin,et al.  Online supplements for: A gentle introduction to mixture modeling using physical fitness performance data [accepted manuscript] , 2016 .

[6]  R. Fitzpatrick.  Performance measurement for health system improvement: Patient-reported outcome measures and performance measurement , 2010 .

[7]  Jichuan Wang,et al.  Structural Equation Modeling: Applications Using Mplus , 2012 .

[8]  B. Natvig,et al.  Clustering of pain and its associations with health in people aged 50 years and older: cross-sectional results from the North Staffordshire Osteoarthritis Project , 2015, BMJ Open.

[9]  David Cella,et al.  Patient-Reported Outcomes Measurement Information System (PROMIS): efficient, standardized tools to measure self-reported health and quality of life. , 2014, Nursing outlook.

[10]  M. McCarroll,et al.  Classifying Patients with Chronic Pelvic Pain into Levels of Biopsychosocial Dysfunction Using Latent Class Modeling of Patient Reported Outcome Measures , 2015, Pain research and treatment.

[11]  Catie C W Lai,et al.  Mental health profile and health-related behavior among Hong Kong Chinese university students , 2018, Health psychology open.

[12]  R. Hays,et al.  Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items , 2009, Quality of Life Research.

[13]  Daniel J Buysse,et al.  The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. , 2010, Journal of clinical epidemiology.

[14]  Ciprian Dobre,et al.  A Holistic Approach for Creating a Digital Ecosystem Enabling Personalized Assistive Care for Elderly , 2018, 2018 IEEE 16th International Conference on Embedded and Ubiquitous Computing (EUC).

[15]  B. Muthén,et al.  Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .

[16]  R. Gershon,et al.  The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment , 2007, Quality of Life Research.

[17]  Franz W. Kellermanns,et al.  Latent Profile Analysis , 2017 .

[18]  F. Alpass,et al.  The sensitivity of the MOS SF-12 and PROMIS® global summary scores to adverse health events in an older cohort , 2018, Quality of Life Research.

[19]  H. Marsh,et al.  Disentangling Shape from Level Effects in Person-Centered Analyses: An Illustration Based on University Teachers’ Multidimensional Profiles of Effectiveness , 2015 .

[20]  J. Beaumont,et al.  The PROMIS satisfaction with social participation measures demonstrated responsiveness in diverse clinical populations. , 2016, Journal of clinical epidemiology.

[21]  Ulrich Trautwein,et al.  Please Scroll down for Article Structural Equation Modeling: a Multidisciplinary Journal Classical Latent Profile Analysis of Academic Self-concept Dimensions: Synergy of Person-and Variable-centered Approaches to Theoretical Models of Self-concept , 2022 .