Literature DB >> 19293433

Do we have enough information? How ICD-10-AM Activity codes measure up.

Irene Hoy-Yen Soo1, Mary K Lam, Julie Rust, Richard Madden.   

Abstract

This research explored the usage of activity codes introduced into the International Statistical Classification of Diseases and Related Health Problems, Tenth revision, Australian Modification (ICD-10-AM) Third Edition and examined the data quality of activity coding, explicitly, completeness and specificity. Injury separations for years 2001/02 to 2005/06 specifying a 'true injury' were extracted for descriptive analyses. Part A investigated the usage of activity codes and compared the usage of the 236 activity codes available in the Activity block (U50-U73) present in the ICD-10-AM Third Edition against the 16 codes present in the second edition. Part B examined the level of completeness of external cause coding and the degree of activity coding specificity in the 2005/06 dataset. It was found that the additional activity codes were used extensively with only 46 codes seldom assigned. Codes present in the second edition were extensively used in the third and fourth editions and the new additional activity codes represent 10% of all activity codes assigned per year. All five datasets demonstrated high levels of completeness, recording completeness levels greater than 97%, where missing activity codes attributed to the majority of missing codes. Fourteen out of the 24 activity categories demonstrated a strong reliance on non-specific codes and Team ball sports and Wheeled non-motor sports illustrated that activity codes assigned lacked detail in the code. Clinicians and coders need to acknowledge the importance of quality clinical documentation for research and policy-making purposes so that circumstances surrounding injury events can be coded to the highest level of specificity to improve injury prevention and control activities. Missing activity codes and the abundance of non-specific coding hinders the usefulness of the data.

Entities:  

Mesh:

Year:  2009        PMID: 19293433     DOI: 10.1177/183335830903800104

Source DB:  PubMed          Journal:  Health Inf Manag        ISSN: 1833-3583            Impact factor:   3.185


  4 in total

1.  The Epidemiology, Cost, and Occupational Context of Spinal Injuries Sustained While 'Working for Income' in NSW: A Record-Linkage Study.

Authors:  Lisa N Sharwood; Holger Mueller; Rebecca Q Ivers; Bharat Vaikuntam; Tim Driscoll; James W Middleton
Journal:  Int J Environ Res Public Health       Date:  2018-09-27       Impact factor: 3.390

2.  Utilising International Statistical Classification of Diseases and Related Health Conditions (ICD)-10 Australian Modification Classifications of "Health Conditions" to Achieve Population Health Surveillance in an Australian Spinal Cord Injury Cohort.

Authors:  Jillian M Clark; Ruth Marshall
Journal:  Spinal Cord       Date:  2022-02-24       Impact factor: 2.473

3.  Time to add a new priority target for child injury prevention? The case for an excess burden associated with sport and exercise injury: population-based study.

Authors:  Caroline F Finch; Anna Wong Shee; Angela Clapperton
Journal:  BMJ Open       Date:  2014-07-02       Impact factor: 2.692

4.  Death in Community Australian Football: A Ten Year National Insurance Claims Report.

Authors:  Lauren V Fortington; Caroline F Finch
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.