Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China
Abstract Background HALE is now a regular strategic planning indicator for all levels of the Chinese government. However, HALE measurements necessitate comprehensive data collection and intricate technology. Therefore, effectively converting numerous diseases into the years lived with disability (YL...
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| Language: | English |
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BMC
2024-06-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-024-19112-6 |
| _version_ | 1827213724951248896 |
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| author | San Qian Chen Yu Cao Jing Jie Ma Xing Chao Zhang Song Bo Hu |
| author_facet | San Qian Chen Yu Cao Jing Jie Ma Xing Chao Zhang Song Bo Hu |
| author_sort | San Qian Chen |
| collection | DOAJ |
| description | Abstract Background HALE is now a regular strategic planning indicator for all levels of the Chinese government. However, HALE measurements necessitate comprehensive data collection and intricate technology. Therefore, effectively converting numerous diseases into the years lived with disability (YLD) rate is a significant challenge for HALE measurements. Our study aimed to construct a simple YLD rate measurement model with high applicability based on the current situation of actual data resources within China to address challenges in measuring HALE target values during planning. Methods First, based on the Chinese YLD rate in the Global Burden of Disease (GBD) 2019, Pearson correlation analysis, the global optimum method, etc., was utilized to screen the best predictor variables from the current Chinese data resources. Missing data for predictor variables were filled in via spline interpolation. Then, multiple linear regression models were fitted to construct the YLD rate measurement model. The Sullivan method was used to measure HALE. The Monte Carlo method was employed to generate 95% uncertainty intervals. Finally, model performances were assessed using the mean absolute error (MAE) and mean absolute percentage error (MAPE). Results A three-input-parameter model was constructed to measure the age-specific YLD rates by sex in China, directly using the incidence of infectious diseases, the incidence of chronic diseases among persons aged 15 and older, and the addition of an under-five mortality rate covariate. The total MAE and MAPE for the combined YLD rate were 0.0007 and 0.5949%, respectively. The MAE and MAPE of the combined HALE in the 0-year-old group were 0.0341 and 0.0526%, respectively. There were slightly fewer males (0.0197, 0.0311%) than females (0.0501, 0.0755%). Conclusion We constructed a high-accuracy model to measure the YLD rate in China by using three monitoring indicators from the Chinese national routine as predictor variables. The model provides a realistic and feasible solution for measuring HALE at the national and especially regional levels, considering limited data. |
| first_indexed | 2025-03-21T14:20:00Z |
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| id | doaj.art-46f27fec229d41bbaee9fbf6f73b9f47 |
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| issn | 1471-2458 |
| language | English |
| last_indexed | 2025-03-21T14:20:00Z |
| publishDate | 2024-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-46f27fec229d41bbaee9fbf6f73b9f472024-06-23T22:37:32ZengBMCBMC Public Health1471-24582024-06-0124111110.1186/s12889-024-19112-6Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in ChinaSan Qian Chen0Yu Cao1Jing Jie Ma2Xing Chao Zhang3Song Bo Hu4School of Public Health, Jiangxi Medical College, Nanchang UniversitySchool of Public Health, Jiangxi Medical College, Nanchang UniversitySchool of Public Health, Jiangxi Medical College, Nanchang UniversitySchool of Public Health, Jiangxi Medical College, Nanchang UniversitySchool of Public Health, Jiangxi Medical College, Nanchang UniversityAbstract Background HALE is now a regular strategic planning indicator for all levels of the Chinese government. However, HALE measurements necessitate comprehensive data collection and intricate technology. Therefore, effectively converting numerous diseases into the years lived with disability (YLD) rate is a significant challenge for HALE measurements. Our study aimed to construct a simple YLD rate measurement model with high applicability based on the current situation of actual data resources within China to address challenges in measuring HALE target values during planning. Methods First, based on the Chinese YLD rate in the Global Burden of Disease (GBD) 2019, Pearson correlation analysis, the global optimum method, etc., was utilized to screen the best predictor variables from the current Chinese data resources. Missing data for predictor variables were filled in via spline interpolation. Then, multiple linear regression models were fitted to construct the YLD rate measurement model. The Sullivan method was used to measure HALE. The Monte Carlo method was employed to generate 95% uncertainty intervals. Finally, model performances were assessed using the mean absolute error (MAE) and mean absolute percentage error (MAPE). Results A three-input-parameter model was constructed to measure the age-specific YLD rates by sex in China, directly using the incidence of infectious diseases, the incidence of chronic diseases among persons aged 15 and older, and the addition of an under-five mortality rate covariate. The total MAE and MAPE for the combined YLD rate were 0.0007 and 0.5949%, respectively. The MAE and MAPE of the combined HALE in the 0-year-old group were 0.0341 and 0.0526%, respectively. There were slightly fewer males (0.0197, 0.0311%) than females (0.0501, 0.0755%). Conclusion We constructed a high-accuracy model to measure the YLD rate in China by using three monitoring indicators from the Chinese national routine as predictor variables. The model provides a realistic and feasible solution for measuring HALE at the national and especially regional levels, considering limited data.https://doi.org/10.1186/s12889-024-19112-6ChinaYears lived with disability rateHealth-adjusted life expectancyPractical modelUncertainty intervals |
| spellingShingle | San Qian Chen Yu Cao Jing Jie Ma Xing Chao Zhang Song Bo Hu Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China BMC Public Health China Years lived with disability rate Health-adjusted life expectancy Practical model Uncertainty intervals |
| title | Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China |
| title_full | Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China |
| title_fullStr | Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China |
| title_full_unstemmed | Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China |
| title_short | Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China |
| title_sort | construction and evaluation of a practical model for measuring health adjusted life expectancy hale in china |
| topic | China Years lived with disability rate Health-adjusted life expectancy Practical model Uncertainty intervals |
| url | https://doi.org/10.1186/s12889-024-19112-6 |
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