<abstract xmlns="http://www.w3.org/1999/xhtml">There has been a shift in medicine from relying on clinical biomarkers to including patient-reported outcome measures. From a healthcare perspective, health-related quality of life (HRQOL) measures can be used to enhance patient care and reducing treatment cost for patients. Given the possible importance of Medical Outcome Study in medicine, and the conflicting reports in literature about its use in healthcare, it is important to identify its utility within the medical community.In this study 150 people were recruited prospectively from patients at the Hospital and the emergency сenter №1 in Zaporizhzhya, Ukraine. Four groups were formed. The inclusion criteria to group were different comorbid pathology of osteoarthrosis. We assessed patients HRQOL SF-36 SF-36 changes before and after pharmacotherapy (over 1 year), than it were compared with the control group.The validity of the construct has been analyzed by discriminant analysis. To assess SF-36 ability identifying discriminating functions were developed, determine its prediction value, define which scales of SF-36 are the best predictors for every groups. In addition, canonical analysis demonstrates SF-36 ability to estimate effect of pharmacotherapy.Statistical analysis show that all indices quality of life through SF – 36 scales except of third (physical role functioning, physical functioning, emotional role functioning) have prognostic value (p>0.05) and validity of SF-39 scales for examination of the patients with coexisting disease is statistically significant(p&lt;0.05).</abstract>

There has been a shift in medicine from relying on clinical biomarkers to including patient-reported outcome measures. From a healthcare perspective, health-related quality of life (HRQOL) measures can be used to enhance patient care and reducing treatment cost for patients. Given the possible importance of Medical Outcome Study in medicine, and the conflicting reports in literature about its use in healthcare, it is important to identify its utility within the medical community.In this study 150 people were recruited prospectively from patients at the Hospital and the emergency сenter №1 in Zaporizhzhya, Ukraine. Four groups were formed. The inclusion criteria to group were different comorbid pathology of osteoarthrosis. We assessed patients HRQOL SF-36 SF-36 changes before and after pharmacotherapy (over 1 year), than it were compared with the control group.The validity of the construct has been analyzed by discriminant analysis. To assess SF-36 ability identifying discriminating functions were developed, determine its prediction value, define which scales of SF-36 are the best predictors for every groups. In addition, canonical analysis demonstrates SF-36 ability to estimate effect of pharmacotherapy.Statistical analysis show that all indices quality of life through SF – 36 scales except of third (physical role functioning, physical functioning, emotional role functioning) have prognostic value (p>0.05) and validity of SF-39 scales for examination of the patients with coexisting disease is statistically significant(p<0.05).

Discriminant analysis for defining quality of life patients with comorbid pathology of osteoarthrosis

Proceedings of the International Conference on Applied Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

There has been a shift in medicine from relying on clinical biomarkers to including patient-reported outcome measures. From a healthcare perspective,...

Discriminant analysis for defining quality of life patients with comorbid pathology of osteoarthrosis

Published Online: Feb 13, 2020

Page range: 458 - 462

DOI: https://doi.org/10.2478/icas-2019-0039

Keywords
osteoarthritis, comorbidity, hypertension, discriminant analysis, quality of life, SF-36, validity, canonical analysis

© 2019 Tatyana Strohonova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Discriminant analysis for defining quality of life patients with comorbid pathology of osteoarthrosis

Published Online: Feb 13, 2020

Page range: 458 - 462

DOI: https://doi.org/10.2478/icas-2019-0039

Keywordsosteoarthritis, comorbidity, hypertension, discriminant analysis, quality of life, SF-36, validity, canonical analysis

© 2019 Tatyana Strohonova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
osteoarthritis, comorbidity, hypertension, discriminant analysis, quality of life, SF-36, validity, canonical analysis