Literature DB >> 12841154

Disease coding errors by health care organizations: effects of a government quality intervention.

Euichul Shin1, William H Dow, Arnold D Kaluzny, Yong-Moon Park, Kidong Park.   

Abstract

Disease coding errors in claims data can cause serious problems for financing, reimbursement systems, public health surveillance and health research. This study analysed a government intervention to improve coding accuracy of health care organizations in South Korea. The intervention was implemented in 1997 by 226 organizations that had submitted erroneous claims in 1996 for five selected diseases. In 1998, 94% of these organizations eliminated coding errors for these diseases. Those organizations least responsive to the intervention were tertiary hospitals, those publicly owned, and those with other complex organizational characteristics. Overall, this simple intervention appeared extremely effective, and wider adoption of such techniques should be explored.

Mesh:

Year:  2003        PMID: 12841154     DOI: 10.1002/hpm.702

Source DB:  PubMed          Journal:  Int J Health Plann Manage        ISSN: 0749-6753


  1 in total

1.  Epidemiology of pertussis in two Ibero-American countries with different vaccination policies: lessons derived from different surveillance systems.

Authors:  Rubén Solano; Josefa Masa-Calles; Zacarías Garib; Patricia Grullón; Sandy L Santiago; Altagracia Brache; Ángela Domínguez; Joan A Caylà
Journal:  BMC Public Health       Date:  2016-11-22       Impact factor: 3.295

  1 in total

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