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Jae-Hyun Park 2 Articles
Improving the Performance of Risk-adjusted Mortality Modeling for Colorectal Cancer Surgery by Combining Claims Data and Clinical Data
Won Mo Jang, Jae-Hyun Park, Jong-Hyock Park, Jae Hwan Oh, Yoon Kim
J Prev Med Public Health. 2013;46(2):74-81.   Published online March 28, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.2.74
  • 9,342 View
  • 74 Download
  • 6 Crossref
AbstractAbstract PDF
Objectives

The objective of this study was to evaluate the performance of risk-adjusted mortality models for colorectal cancer surgery.

Methods

We investigated patients (n=652) who had undergone colorectal cancer surgery (colectomy, colectomy of the rectum and sigmoid colon, total colectomy, total proctectomy) at five teaching hospitals during 2008. Mortality was defined as 30-day or in-hospital surgical mortality. Risk-adjusted mortality models were constructed using claims data (basic model) with the addition of TNM staging (TNM model), physiological data (physiological model), surgical data (surgical model), or all clinical data (composite model). Multiple logistic regression analysis was performed to develop the risk-adjustment models. To compare the performance of the models, both c-statistics using Hanley-McNeil pair-wise testing and the ratio of the observed to the expected mortality within quartiles of mortality risk were evaluated to assess the abilities of discrimination and calibration.

Results

The physiological model (c=0.92), surgical model (c=0.92), and composite model (c=0.93) displayed a similar improvement in discrimination, whereas the TNM model (c=0.87) displayed little improvement over the basic model (c=0.86). The discriminatory power of the models did not differ by the Hanley-McNeil test (p>0.05). Within each quartile of mortality, the composite and surgical models displayed an expected mortality ratio close to 1.

Conclusions

The addition of clinical data to claims data efficiently enhances the performance of the risk-adjusted postoperative mortality models in colorectal cancer surgery. We recommended that the performance of models should be evaluated through both discrimination and calibration.

Summary

Citations

Citations to this article as recorded by  
  • Estimating postoperative mortality in colorectal surgery- a systematic review of risk prediction models
    Alexios Dosis, Jack Helliwell, Aron Syversen, Jim Tiernan, Zhiqiang Zhang, David Jayne
    International Journal of Colorectal Disease.2023;[Epub]     CrossRef
  • Modified Tumor Budding as a Better Predictor of Lymph Node Metastasis in Early Gastric Cancer: Possible Real-World Applications
    Kwangil Yim, Won Mo Jang, Sung Hak Lee
    Cancers.2021; 13(14): 3405.     CrossRef
  • Investigación epidemiológica en cáncer colorrectal: perspectiva, prospectiva y retos bajo la óptica de explotación del Big-Data
    J.M. García Torrecillas, M. Ferrer Márquez, Á. Reina Duarte, F. Rubio-Gil
    SEMERGEN - Medicina de Familia.2016; 42(8): 509.     CrossRef
  • Variation between Hospitals with Regard to Diagnostic Practice, Coding Accuracy, and Case-Mix. A Retrospective Validation Study of Administrative Data versus Medical Records for Estimating 30-Day Mortality after Hip Fracture
    Jon Helgeland, Doris Tove Kristoffersen, Katrine Damgaard Skyrud, Anja Schou Lindman, Alanna M Chamberlain
    PLOS ONE.2016; 11(5): e0156075.     CrossRef
  • Model for risk adjustment of postoperative mortality in patients with colorectal cancer
    K Walker, P J Finan, J H van der Meulen
    British Journal of Surgery.2015; 102(3): 269.     CrossRef
  • Problems With Public Reporting of Cancer Quality Outcomes Data
    Paul Goldberg, Rena M. Conti
    Journal of Oncology Practice.2014; 10(3): 215.     CrossRef
Prevalence of Musculoskeletal Symptoms Related With Activities of Daily Living and Contributing Factors in Korean Adults
Kyusik Choi, Jae-Hyun Park, Hae-Kwan Cheong
J Prev Med Public Health. 2013;46(1):39-49.   Published online January 31, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.1.39
  • 10,574 View
  • 100 Download
  • 17 Crossref
AbstractAbstract PDF
Objectives

This study aims to investigate the prevalence of musculoskeletal symptoms and factors related to daily activities in a representative Korean population.

Methods

This study was based on the questions about musculoskeletal symptoms in the Korean General Social Survey 2010. The questionnaire about musculoskeletal symptoms was adopted from Korean Occupational Safety and Health Agency guide, and it includes general characteristics, characteristics of pain, work type, work intensity and a 12-item Short Form Health Survey (SF-12). We utilized the criteria of the National Institute for Occupational Safety and Health to define the prevalence of musculoskeletal symptoms. Demographic, behavioral and socioeconomic factors were analyzed using logistic regression.

Results

The prevalence of musculoskeletal symptoms was 38.3%. The prevalence was higher in females, the elderly, those without health insurance, and those with a low income, low education, and occupations with a heavy workload. The prevalence by body part was highest in the back, shoulder, and knee, in that order. The physical component summary and mental component summary of the SF-12 decreased with increasing musculoskeletal symptoms.

Conclusions

Musculoskeletal symptoms are very common in the general population, and related to various socio-demographic factors. These results suggest that active prevention and management of musculoskeletal symptoms is needed at a national level.

Summary

Citations

Citations to this article as recorded by  
  • Yoga for musculoskeletal pain, discomfort, perceived stress, and quality of sleep in industry workers: a randomized controlled trial
    B. Pravalika, U. Yamuna, Apar Avinash Saoji
    International Archives of Occupational and Environmental Health.2023; 96(10): 1349.     CrossRef
  • Prevalence of upper limb musculoskeletal disorders and its associated risk factors among janitorial workers: A cross-sectional study
    Mei Ching Lim, Khamisah Awang Lukman, Nelbon Giloi, Jac Fang Lim, Richard Avoi, Syed Sharizman Syed Abdul Rahim, Mohammad Saffree Jeffree
    Annals of Medicine and Surgery.2022; 73: 103201.     CrossRef
  • Effect of Yoga on musculoskeletal pain and discomfort, perceived stress, and quality of sleep in industrial workers: Study protocol for a randomized controlled trial
    B. Pravalika, U. Yamuna, Apar Avinash Saoji
    Advances in Integrative Medicine.2022; 9(4): 224.     CrossRef
  • Landscaping Work: Work-related Musculoskeletal Problems and Ergonomic Risk Factors
    Mei Ching Lim, Khamisah Awang Lukman, Nelbon Giloi, Jac Fang Lim, Hazeqa Salleh, Ahmad Syukri Radzran, Mohammad Saffree Jeffree, Syed Sharizman Syed Abdul Rahim
    Risk Management and Healthcare Policy.2021; Volume 14: 3411.     CrossRef
  • Prevalence of musculoskeletal complaints in urban communities in multi-ethnic Suriname: a cross-sectional study with the COPCORD methodology (stage 1, phase 1 and 2)
    N. Ho-A-Tham, Y. Vanlandewijck, L. de Donder, R. Wittoek, B. Ting-A-Kee, R. Basantram, W. Dankaerts
    Clinical Rheumatology.2020; 39(4): 1065.     CrossRef
  • Intratendinous Injection of Mesenchymal Stem Cells for the Treatment of Rotator Cuff Disease: A 2-Year Follow-Up Study
    Chris Hyunchul Jo, Jee Won Chai, Eui Cheol Jeong, Sohee Oh, Kang Sup Yoon
    Arthroscopy: The Journal of Arthroscopic & Related Surgery.2020; 36(4): 971.     CrossRef
  • Prevalence and Risk-Factors of Musculoskeletal Disorders Among Provincial High School Teachers in the Philippines
    Lito M AMIT, Gerald T MALABARBAS
    Journal of UOEH.2020; 42(2): 151.     CrossRef
  • Allogeneic Platelet-Rich Plasma Versus Corticosteroid Injection for the Treatment of Rotator Cuff Disease
    Chris Hyunchul Jo, Seung Yeon Lee, Kang Sup Yoon, Sohee Oh, Sue Shin
    Journal of Bone and Joint Surgery.2020; 102(24): 2129.     CrossRef
  • Prevalence of Musculoskeletal Pain Among Academic Staff of Mekelle University, Ethiopia
    Habtamu Meaza, Melaku Hailu Temesgen, Getachew Redae, Teklehaimanot Tekle Hailemariam, Abayneh Alamer
    Clinical Medicine Insights: Arthritis and Musculoskeletal Disorders.2020; 13: 117954412097467.     CrossRef
  • The Head Down Generation: Musculoskeletal Symptoms and the Use of Smartphones Among Young University Students
    Glaukus Regiani Bueno, Lucas França Garcia, Sonia Maria Marques Gomes Bertolini, Tiago Franklin Rodrigues Lucena
    Telemedicine and e-Health.2019; 25(11): 1049.     CrossRef
  • Stem Cells in Rotator Cuff Injuries and Reconstructions: A Systematic Review and Meta-Analysis
    Fanxiao Liu, Qingqi Meng, Heyong Yin, Zexing Yan
    Current Stem Cell Research & Therapy.2019; 14(8): 683.     CrossRef
  • Intratendinous Injection of Autologous Adipose Tissue-Derived Mesenchymal Stem Cells for the Treatment of Rotator Cuff Disease: A First-In-Human Trial
    Chris H. Jo, Jee Won Chai, Eui Cheol Jeong, Sohee Oh, Paul S. Kim, Jeong Yong Yoon, Kang Sup Yoon
    Stem Cells.2018; 36(9): 1441.     CrossRef
  • Embodied Cognition and Humor: The Impact of Weight Sensations on Humor Experience and the Moderating Role of Gender
    Kai Kaspar, Anna Jurisch, Maren Schneider
    Current Psychology.2016; 35(3): 377.     CrossRef
  • Shoulder Activity Level is Associated With Type of Employment and Income in the Normative Population Without Shoulder Disorders
    Robert H. Brophy, Kenneth M. Lin, S. Andrew Skillington, C. Tate Hepper, Matthew V. Smith
    Clinical Orthopaedics and Related Research®.2016; 474(10): 2269.     CrossRef
  • Association between upper extremity musculoskeletal disorders and mental health status in office workers
    Seyedeh Shohreh Alavi, Jalil Makarem, Mahya Abbasi, Azin Rahimi, Ramin Mehrdad
    Work.2016; 55(1): 3.     CrossRef
  • Mental and Physical Symptoms of Female Rural Workers: Relation between Household and Rural Work
    Marta Cezar-Vaz, Clarice Bonow, Mara da Silva
    International Journal of Environmental Research and Public Health.2015; 12(9): 11037.     CrossRef
  • Changes in sitting posture affect shoulder range of motion
    Rotsalai Kanlayanaphotporn
    Journal of Bodywork and Movement Therapies.2014; 18(2): 239.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health