Scenario analysis on medical treatments of patients with knee osteoarthritis
Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens....
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| Autor*in: |
Tan, Shih-Chin [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: The journal of supercomputing - Springer US, 1987, 78(2022), 7 vom: 22. Jan., Seite 10310-10325 |
|---|---|
| Übergeordnetes Werk: |
volume:78 ; year:2022 ; number:7 ; day:22 ; month:01 ; pages:10310-10325 |
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| DOI / URN: |
10.1007/s11227-021-04206-4 |
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OLC2078498009 |
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| 520 | |a Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment. | ||
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10.1007/s11227-021-04206-4 doi (DE-627)OLC2078498009 (DE-He213)s11227-021-04206-4-p DE-627 ger DE-627 rakwb eng 004 620 VZ Tan, Shih-Chin verfasserin aut Scenario analysis on medical treatments of patients with knee osteoarthritis 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment. Scenario analysis Scenario and incident model Cluster analysis Knee osteoarthritis Lai, Chun-Liang (orcid)0000-0003-2405-5375 aut Hou, Jia-Jeng aut Enthalten in The journal of supercomputing Springer US, 1987 78(2022), 7 vom: 22. Jan., Seite 10310-10325 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:78 year:2022 number:7 day:22 month:01 pages:10310-10325 https://doi.org/10.1007/s11227-021-04206-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 AR 78 2022 7 22 01 10310-10325 |
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10.1007/s11227-021-04206-4 doi (DE-627)OLC2078498009 (DE-He213)s11227-021-04206-4-p DE-627 ger DE-627 rakwb eng 004 620 VZ Tan, Shih-Chin verfasserin aut Scenario analysis on medical treatments of patients with knee osteoarthritis 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment. Scenario analysis Scenario and incident model Cluster analysis Knee osteoarthritis Lai, Chun-Liang (orcid)0000-0003-2405-5375 aut Hou, Jia-Jeng aut Enthalten in The journal of supercomputing Springer US, 1987 78(2022), 7 vom: 22. Jan., Seite 10310-10325 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:78 year:2022 number:7 day:22 month:01 pages:10310-10325 https://doi.org/10.1007/s11227-021-04206-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 AR 78 2022 7 22 01 10310-10325 |
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10.1007/s11227-021-04206-4 doi (DE-627)OLC2078498009 (DE-He213)s11227-021-04206-4-p DE-627 ger DE-627 rakwb eng 004 620 VZ Tan, Shih-Chin verfasserin aut Scenario analysis on medical treatments of patients with knee osteoarthritis 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment. Scenario analysis Scenario and incident model Cluster analysis Knee osteoarthritis Lai, Chun-Liang (orcid)0000-0003-2405-5375 aut Hou, Jia-Jeng aut Enthalten in The journal of supercomputing Springer US, 1987 78(2022), 7 vom: 22. Jan., Seite 10310-10325 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:78 year:2022 number:7 day:22 month:01 pages:10310-10325 https://doi.org/10.1007/s11227-021-04206-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 AR 78 2022 7 22 01 10310-10325 |
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10.1007/s11227-021-04206-4 doi (DE-627)OLC2078498009 (DE-He213)s11227-021-04206-4-p DE-627 ger DE-627 rakwb eng 004 620 VZ Tan, Shih-Chin verfasserin aut Scenario analysis on medical treatments of patients with knee osteoarthritis 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment. Scenario analysis Scenario and incident model Cluster analysis Knee osteoarthritis Lai, Chun-Liang (orcid)0000-0003-2405-5375 aut Hou, Jia-Jeng aut Enthalten in The journal of supercomputing Springer US, 1987 78(2022), 7 vom: 22. Jan., Seite 10310-10325 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:78 year:2022 number:7 day:22 month:01 pages:10310-10325 https://doi.org/10.1007/s11227-021-04206-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 AR 78 2022 7 22 01 10310-10325 |
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Scenario analysis on medical treatments of patients with knee osteoarthritis |
| abstract |
Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
| abstractGer |
Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
| abstract_unstemmed |
Abstract In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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| title_short |
Scenario analysis on medical treatments of patients with knee osteoarthritis |
| url |
https://doi.org/10.1007/s11227-021-04206-4 |
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| author2 |
Lai, Chun-Liang Hou, Jia-Jeng |
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