Reallocating diabetes-related garbage codes to improve mortality estimates: a case study in Weifang, China
Abstract Effective identification and correction of diabetes mellitus (DM)-related garbage codes (GCs) in mortality surveillance data is crucial for accurately estimating regional DM mortality rates. This study applied a structured, three-step approach—using standard WHO ICD-10 mortality coding rule...
Saved in:
| Main Authors: | Xiao Zhang, Wenyi Yang, Jingxin Wang, Limei Ai, Min Chen, Chunping Wang, Xia Wan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
|
| Series: | Population Health Metrics |
| Online Access: | https://doi.org/10.1186/s12963-025-00399-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Burden of diabetes mellitus in Weifang: Changing trends in prevalence and deaths from 2010 to 2021.
by: Xiaoyang Wang, et al.
Published: (2024-01-01) -
Garbage In, Garbage Out
Published: (2010-01-01) -
Serum IgE Predicts Difference of Population and Allergens in Allergic Diseases: Data from Weifang City, China
by: Zhang Xu-De, et al.
Published: (2021-01-01) -
Garbage in garbage out? Impacts of data quality on criminal network intervention
by: Wang Ngai Yeung, et al.
Published: (2025-05-01) -
Supervisor Reconfiguration for Deadlock Prevention by Resources Reallocation
by: Miao Liu, et al.
Published: (2013-01-01)