Literature DB >> 18245862

Organisational factors affecting the quality of hospital clinical coding.

Suong Santos1, Gregory Murphy, Kathryn Baxter, Kerin M Robinson.   

Abstract

The influence of organisational factors on the quality of hospital coding using the International Statistical Classification of Diseases and Health Related Problems, 10th Revision, Australian Modification (ICD-10-AM) was investigated using a mixed quantitative-qualitative approach. The organisational variables studied were: hospital specialty; geographical locality; structural characteristics of the coding unit; education, training and resource supports for Clinical Coders; and quality control mechanisms. Baseline data on the hospitals' coding quality, measured by the Performance Indicators for Coding Quality tool, were used as an independent index measure. No differences were found in error rates between rural and metropolitan hospitals, or general and specialist hospitals. Clinical Coder allocation to "general" rather than "specialist" unit coding resulted in fewer errors. Coding Managers reported that coding quality can be improved by: Coders engaging in a variety of role behaviours; improved Coder career opportunities; higher staffing levels; reduced throughput; fewer time constraints on coding outputs and associated work; and increased Coder interactions with medical staff.

Mesh:

Year:  2008        PMID: 18245862     DOI: 10.1177/183335830803700103

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


  12 in total

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2.  Coder perspectives on physician-related barriers to producing high-quality administrative data: a qualitative study.

Authors:  Karen L Tang; Kelsey Lucyk; Hude Quan
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3.  Problems and Barriers during the Process of Clinical Coding: a Focus Group Study of Coders' Perceptions.

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4.  The accuracy of present-on-admission reporting in administrative data.

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Journal:  Health Serv Res       Date:  2011-08-11       Impact factor: 3.402

5.  Do coder characteristics influence validity of ICD-10 hospital discharge data?

Authors:  Deirdre A Hennessy; Hude Quan; Peter D Faris; Cynthia A Beck
Journal:  BMC Health Serv Res       Date:  2010-04-21       Impact factor: 2.655

6.  Qualitative analysis of manual annotations of clinical text with SNOMED CT.

Authors:  Jose Antonio Miñarro-Giménez; Catalina Martínez-Costa; Daniel Karlsson; Stefan Schulz; Kirstine Rosenbeck Gøeg
Journal:  PLoS One       Date:  2018-12-27       Impact factor: 3.240

7.  Incidence and Variation of Discrepancies in Recording Chronic Conditions in Australian Hospital Administrative Data.

Authors:  Hassan Assareh; Helen M Achat; Joanne M Stubbs; Veth M Guevarra; Kim Hill
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

8.  Increasing burden of community-acquired pneumonia leading to hospitalisation, 1998-2014.

Authors:  T Phuong Quan; Nicola J Fawcett; John M Wrightson; John Finney; David Wyllie; Katie Jeffery; Nicola Jones; Brian Shine; Lorraine Clarke; Derrick Crook; A Sarah Walker; Timothy E A Peto
Journal:  Thorax       Date:  2016-02-17       Impact factor: 9.139

9.  A cohort study on physician documentation and the accuracy of administrative data coding to improve passive surveillance of transient ischaemic attacks.

Authors:  Amy Y X Yu; Hude Quan; Andrew D McRae; Gabrielle O Wagner; Michael D Hill; Shelagh B Coutts
Journal:  BMJ Open       Date:  2017-07-02       Impact factor: 2.692

10.  Development and validation of data quality rules in administrative health data using association rule mining.

Authors:  Mingkai Peng; Sangmin Lee; Adam G D'Souza; Chelsea T A Doktorchik; Hude Quan
Journal:  BMC Med Inform Decis Mak       Date:  2020-04-25       Impact factor: 2.796

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