Literature DB >> 20852348

[«Bridge Coding» ICD-9, ICD-10 and effects on mortality statistics].

Stefano Brocco1, Piercarlo Vercellino, Carlo Alberto Goldoni, Natalia Alba, Maria Giulia Gatti, Daniele Agostini, Mariangela Autelitano, Annalisa Califano, Franca Deriu, Giuliano Rigoni, Maria Teresa Cassinadri, Elsa Garrone.   

Abstract

OBJECTIVE: This study evaluates the impact of the introduction of ICD-10 on mortality statistics in Italy.
DESIGN: «Bridge-Coding» analysis carried out by a working group that has coded a number of death certificates using both ICD-9 and ICD-10 versions. In 2006, a training project was launched in order to allow the group to standardize the coding procedures.
SETTING: The study was carried out by professionals from the following regions: Emilia-Romagna, Veneto, Tuscany, Liguria; and from the towns of Biella and Milan. The analysis included 74,525 Death Certificates produced in the aforementioned areas.
RESULTS: A limited variability was observed for the most important groups of diseases (diseases of the circulatory system and neoplasms), with low impact on mortality statistics. The variability was higher for "minor" diseases like infectious and respiratory diseases, and dementia. The variability was similar but not identical to that observed in other national and international studies. The «Bridge-Coding» analysis has a local impact. Furthermore, changes depending on the variation in the selection rules are impossible to predict or to correct with the trans-coding procedure.
CONCLUSIONS: In some cases, the changes determined by the implementation of ICD-10 are not completely corrected by the transcoding procedure, even applying appropriate Comparability Ratios (CR) from «Bridge Coding» analysis like this. Studies on respiratory diseases, or dementia and some neoplasms require new coding procedures in only one ICD version. Quality and accuracy of the compilation of death certificates have more effect than a correct coding, though more casual and less evaluable by means of comparability studies like this one.

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Mesh:

Year:  2010        PMID: 20852348

Source DB:  PubMed          Journal:  Epidemiol Prev        ISSN: 1120-9763            Impact factor:   1.901


  5 in total

1.  Cohort profile: the Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS), a multicentre cohort for socioeconomic inequalities in health monitoring.

Authors:  Nicola Caranci; Chiara Di Girolamo; Paolo Giorgi Rossi; Teresa Spadea; Barbara Pacelli; Serena Broccoli; Paola Ballotari; Giuseppe Costa; Nicolás Zengarini; Nera Agabiti; Anna Maria Bargagli; Laura Cacciani; Cristina Canova; Laura Cestari; Annibale Biggeri; Laura Grisotto; Gianna Terni; Gianfranco Costanzo; Concetta Mirisola; Alessio Petrelli
Journal:  BMJ Open       Date:  2018-04-20       Impact factor: 2.692

2.  Leveraging Shannon Entropy to Validate the Transition between ICD-10 and ICD-11.

Authors:  Donghua Chen; Runtong Zhang; Xiaomin Zhu
Journal:  Entropy (Basel)       Date:  2018-10-08       Impact factor: 2.524

Review 3.  ICD-11: an international classification of diseases for the twenty-first century.

Authors:  James E Harrison; Stefanie Weber; Robert Jakob; Christopher G Chute
Journal:  BMC Med Inform Decis Mak       Date:  2021-11-09       Impact factor: 2.796

4.  Trends in gastroenteritis-associated mortality in the United States, 1985-2005: variations by ICD-9 and ICD-10 codes.

Authors:  Jyotsna S Jagai; Genee S Smith; Judith E Schmid; Timothy J Wade
Journal:  BMC Gastroenterol       Date:  2014-12-10       Impact factor: 3.067

5.  A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics.

Authors:  Donghua Chen; Runtong Zhang; Hongmei Zhao; Jiayi Feng
Journal:  J Healthc Eng       Date:  2019-12-25       Impact factor: 2.682

  5 in total

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