Disability Weights for Osteoporosis and Osteoporotic Fractures in South Korea

BACKGROUND: Korea is expected to become an ultra-aged society, in which the elderly population will account for more than 20% of the total population, after 2025. Thus, the social costs due to osteoporotic fractures are expected to increase. Therefore, this study aimed to measure disability weights (DWs) of osteoporosis and osteoporotic fractures in Korea. METHODS: The scenarios were developed to standardize the severity of 6 health statuses: osteoporosis and osteoporotic fractures including wrist, hip, post-hip, vertebral, and post-vertebral fracture. The values for these 6 health statuses were sought via a person trade-off (PTO) approach. We measured the value by PTO and we calculated it to DW of 6 health statuses. Three clinical expertise panels of 33 experts were established, and face-to-face interviews were conducted from July to December 2017. RESULTS: The distribution of DW varied by panel. DWs ranged from 0.5 (Osteoporosis) to 0.857 (Hip fracture) for Panel 1, 0.091 (Osteoporosis) to 0.5 (Hip fracture) for Panel 2, and 0.091 (Osteoporosis) to 0.726 (Hip fracture) for Panel 3. The final values for the 6 health statuses obtained by pooling all data from 3 panels ranged from 0.286 (Osteoporosis) to 0.750 (Hip fracture). There was no significant difference in rankings for the 6 health statuses among the 3 panels. CONCLUSIONS: Comparing the DW of osteoporotic fracture in this study with other diseases in previous studies, it is predicted that osteoporotic fractures, especially hip fractures, will have a considerable burden of disease.

Research on Disability Weights of Disease Burden: A New Approach Based on Inpatient Expenditure Comparison / 中国卫生经济

Objective:New approach and new methods on measuring disability weights of disease burden was developed and disability weights of diseases and injuries were calculated based on the sample of inpatient expenditure data in Beijing.Methods:Based on the inpatient medical records data of tertiary hospitals in Beijing from 2015-2017,diseases and injuries were classified according to the diagnosis and personal characteristics.Average expenditure of different diseases and injuries was calculated and relative disability weights were computed using the highest inpatient cost as the reference benchmark.The new methodology was developed for computing the relative weights of different diseases and injuries in burden of disease.Pearson correlation analysis was performed to test the consistency of the results.Results:The samples of 6.36 million inpatient medical records were analyzed and disability weights of 385 diseases and injuries were calculated with the results ranging from 0.020 to 0.995.The correlation coefficient between the results of 2012-2014 was 0.90.The results were consistent with the findings in other disability weights research,which made the classification of diseases and injuries more refined,reached to the most detailed classification level of diseases and injuries.Conclusions:The new approach was objective,simple,stable and repeatable with the low cost.It provided an innovative method for disability weights measurement.This was the first research to achieve the disability weights table of different diseases and injuries and it presented the key parameters for the research of burden of disease not only for China but also the other countries and regions.Furthermore,the new approach could be served as the significant reference for other countries and regions around the world to develop localized disability weights.

Disability Weights for Cancers in Korea

This study renewed the estimation of disability weights for cancers in Korea, reflecting the nation's economic and medical-technological development during the past 10 yr. Thirty-two medical doctors evaluated disability weights for 24 major cancers based on the visual analogue scale (VAS) method. To check the intra-rater reliability, a correlation was calculated between 2011 and 2012 medians. To assess the inter-rater reliability, a correlation was estimated between oncologist and non-oncologist medians. To assess the inter-method reliability, a correlation was calculated between medians on VAS and Person-Trade-Off approaches. Moreover, findings in this study were compared to those in 2003 research. Spearman correlation was used and the 1% significance level was applied. Disability weights were relatively high for pancreas cancer (0.90), gallbladder cancer (0.81), mouth and oropharynx cancer (0.80), and esophagus cancer (0.80). Conversely, they were relatively low for breast cancer (0.37), prostate cancer (0.33) and thyroid cancer (0.10). All the inter-rater reliabilities were higher than 0.7. Indeed, the intra-rater and inter-method reliabilities were 0.752 and 0.927, respectively. Above all, disability weights for major cancers went down in Korea during 2003-2012, reflecting the progress of medical technology and the growth of cancer survival.

Estimation of disability weights on malignant neoplasms in Shandong province / 中华流行病学杂志

Objective To determine stage-specific and average disability weights (DWs) of malignant neoplasm and provide support and evidence for study on burden of cancer and policy development in Shandong province. Methods Health status of each cancer patient identified during the cancer prevalence survey in Shandong, 2007 was investigated. In line with the GBD methodology in estimating DWs, the disability extent of every case was classified and evaluated according to the Six-class Disability Classification version and then the stage-specific weights and average DWs with their 95 % confidence intervals were calculated, using SAS software. Results A total of 11 757 cancer cases were investigated and evaluated. DWs of specific stage of therapy, remission, metastasis and terminal of all cancers were 0.310, 0.218, 0.450 and 0.653 respectively. The average DW of all cancers was 0.317(95 % CI:0.312-0.321). Weights of different stage and different cancer varied significantly, while no significant differences were found between males and females. DWs were found higher (>0.4) for liver cancer, bone cancer, lymphoma and pancreas cancer. Lower DWs (<0.3) were found for breast cancer, cervix uteri, corpus uteri, ovarian cancer, larynx cancer, mouth and oropharynx cancer. Conclusion Stage-specific and average DWs for various cancers were estimated based on a large sample size survey. The average DWs of 0.317 for all cancers indicated that 1/3 healthy year lost for each survived life year of them. The difference of DWs between different cancer and stage provide scientific evidence for cancer prevention strategy development.