Problems and Barriers during the Process of Clinical Coding: a Focus Group Study of Coders' Perceptions.

Coded data are the basis of information systems in all countries that rely on Diagnosis Related Groups in order to reimburse/finance hospitals, including both administrative and clinical data. To identify the problems and barriers that affect the quality of the coded data is paramount to improve data quality as well as to enhance its usability and outcomes. This study aims to explore problems and possible solutions associated with the clinical coding process. Problems were identified according to the perspective of ten medical coders, as the result of four focus groups sessions. This convenience sample was sourced from four public hospitals in Portugal. Questions relating to problems with the coding process were developed from the literature and authors' expertise. Focus groups sessions were taped, transcribed and analyzed to elicit themes. Variability in the documents used for coding, illegibility of hand writing when coding on paper, increase of errors due to an extra actor in the coding process when transcribed from paper, difficulties in the diagnoses' coding, coding delay and unavailability of resources and tools designed to help coders, were some of the problems identified. Some problems were identified and solutions such as the standardization of the documents used for coding an episode, the adoption of the electronic coding, the development of tools to help coding and audits, and the recognition of the importance of coding by the management were described as relevant factors for the improvement of the quality of data.

Health records as the basis of clinical coding: Is the quality adequate? A qualitative study of medical coders' perceptions.

BACKGROUND: Health records are the basis of clinical coding. In Portugal, relevant diagnoses and procedures are abstracted and categorised using an internationally accepted classification system and the resulting codes, together with the administrative data, are then grouped into diagnosis-related groups (DRGs). Hospital reimbursement is partially calculated from the DRGs. Moreover, the administrative database generated with these data is widely used in research and epidemiology, among other purposes. OBJECTIVE: To explore the perceptions of medical coders (medical doctors) regarding possible problems with health records that may affect the quality of coded data. METHOD: A qualitative design using four focus groups sessions with 10 medical coders was undertaken between October and November 2017. The convenience sample was obtained from four public hospitals in Portugal. Questions related to problems with the coding process were developed from the literature and authors' expertise. The focus groups sessions were taped, transcribed and analysed to elicit themes. RESULTS: There are several problems, identified by the focus groups, in health records that influence the coded data: the lack of or unclear documented information; the variability in diagnosis description; "copy & paste"; and the lack of solutions to solve these problems. CONCLUSION AND IMPLICATIONS: The use of standards in health records, audits and physician awareness could increase the quality of health records, contributing to improvements in the quality of coded data, and in the fulfilment of its purposes (e.g. more accurate payments and more reliable research).

The state of health in the European Union (EU-28) in 2017: an analysis of the burden of diseases and injuries.

BACKGROUND: The Global Burden of Disease study has generated a wealth of data on death and disability in Europe. At a time of change for the European Union and European Region of WHO, with a new Health Commissioner and Regional Director, respectively, a review of health trends can contribute to identify outstanding needs and gaps. This paper reports a summary of the burden of disease in the European Union (EU) in 2017 (compared with 2007). METHODS: For the whole EU and each country, mortality by causes of death, disability-adjusted life years (DALYs) and life expectancies are reported. RESULTS: In 2017, the age-standardized mortality and DALY rates were of 452.6 and 19 663.3 per 100 000 inhabitants, respectively. The diseases contributing most to mortality were ischaemic heart disease (IHD), dementias and stroke, while low back pain and IHD accounted for the highest burden of DALYs. CONCLUSIONS: Overall, there was an improvement in the state of health in the EU but substantial differences between countries remain. Cardiovascular diseases still represent the major burden, although there have been substantial improvements. There are many opportunities for mutual learning among otherwise similar countries with different patterns of disease.