Literature DB >> 32036459

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

Vera Alonso1,2, João Vasco Santos3,4,5, Marta Pinto4,6,7, Joana Ferreira3,4, Isabel Lema3,4, Fernando Lopes3,4, Alberto Freitas3,4.   

Abstract

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.

Keywords:  Clinical coding; Data quality; Health information management; International classification of diseases; Qualitative research

Mesh:

Year:  2020        PMID: 32036459     DOI: 10.1007/s10916-020-1532-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  33 in total

1.  Physicians' use of electronic medical records: barriers and solutions.

Authors:  Robert H Miller; Ida Sim
Journal:  Health Aff (Millwood)       Date:  2004 Mar-Apr       Impact factor: 6.301

2.  Opportunities and challenges for quality and safety applications in ICD-11: an international survey of users of coded health data.

Authors:  Danielle A Southern; Marc Hall; Deborah E White; Patrick S Romano; Vijaya Sundararajan; Saskia E Droesler; Harold A Pincus; William A Ghali
Journal:  Int J Qual Health Care       Date:  2015-12-08       Impact factor: 2.038

3.  Organisational factors affecting the quality of hospital clinical coding.

Authors:  Suong Santos; Gregory Murphy; Kathryn Baxter; Kerin M Robinson
Journal:  Health Inf Manag       Date:  2008       Impact factor: 3.185

4.  Study reveals hard facts on CAC.

Authors:  Michelle Dougherty; Sandra Seabold; Susan E White
Journal:  J AHIMA       Date:  2013-07

Review 5.  Hospital payment systems based on diagnosis-related groups: experiences in low- and middle-income countries.

Authors:  Inke Mathauer; Friedrich Wittenbecher
Journal:  Bull World Health Organ       Date:  2013-08-06       Impact factor: 9.408

6.  ICD-10-CM primer.

Authors:  Ann Barta; Gale McNeill; Peggy Meli; Kathleen Wall; Ann Zeisset
Journal:  J AHIMA       Date:  2008-05

7.  Enhancing Clinical Content and Race/Ethnicity Data in Statewide Hospital Administrative Databases: Obstacles Encountered, Strategies Adopted, and Lessons Learned.

Authors:  Michael Pine; Niranjana M Kowlessar; Jason L Salemi; Jill Miyamura; David S Zingmond; Nicole E Katz; Joe Schindler
Journal:  Health Serv Res       Date:  2015-06-26       Impact factor: 3.402

8.  Impact of documentation errors on accuracy of cause of death coding in an educational hospital in Southern Iran.

Authors:  Mohammad Hosein Hayavi Haghighi; Mohammad Dehghani; Saeid Hoseini Teshnizi; Hamid Mahmoodi
Journal:  Health Inf Manag       Date:  2014       Impact factor: 3.185

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

Authors:  Karen L Tang; Kelsey Lucyk; Hude Quan
Journal:  CMAJ Open       Date:  2017-08-15

10.  Barriers to data quality resulting from the process of coding health information to administrative data: a qualitative study.

Authors:  Kelsey Lucyk; Karen Tang; Hude Quan
Journal:  BMC Health Serv Res       Date:  2017-11-22       Impact factor: 2.655

View more
  3 in total

1.  Spatial Patterns in Hospital-Acquired Infections in Portugal (2014-2017).

Authors:  Hugo Teixeira; Alberto Freitas; António Sarmento; Paulo Nossa; Hernâni Gonçalves; Maria de Fátima Pina
Journal:  Int J Environ Res Public Health       Date:  2021-04-28       Impact factor: 3.390

2.  Deep Learning Analysis of Polish Electronic Health Records for Diagnosis Prediction in Patients with Cardiovascular Diseases.

Authors:  Kristof Anetta; Ales Horak; Wojciech Wojakowski; Krystian Wita; Tomasz Jadczyk
Journal:  J Pers Med       Date:  2022-05-25

3.  Estimating and examining the costs of inpatient diabetes care in an Irish Public Hospital.

Authors:  Kathleen M Friel; Patrick Gillespie; Vivien Coates; Claire McCauley; Michael McCann; Maurice O'Kane; Karen McGuigan; Amjed Khamis; Matthew Manktelow
Journal:  Diabet Med       Date:  2021-12-04       Impact factor: 4.213

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.