TY - JOUR
T1 - Stroke clinical coding education program in Australia and New Zealand
AU - on behalf of the Australia and New Zealand Stroke Coding Working Group
AU - Kilkenny, Monique F.
AU - Sanders, Ailie
AU - Burns, Catherine
AU - Sanders, Lauren M.
AU - Ryan, Olivia
AU - Read, Carla
AU - Lum On, Miriam
AU - Ranta, Anna
AU - Purvis, Tara
AU - Inman, Carys
AU - Cadilhac, Dominique A.
AU - Carter, Helen
AU - Rowlands, Stella
AU - Nedkoff, Lee
AU - Olaiya, Muideen T.
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2023
Y1 - 2023
N2 - Background: Accurate coded diagnostic data are important for epidemiological research of stroke. Objective: To develop, implement and evaluate an online education program for improving clinical coding of stroke. Method: The Australia and New Zealand Stroke Coding Working Group co-developed an education program comprising eight modules: rationale for coding of stroke; understanding stroke; management of stroke; national coding standards; coding trees; good clinical documentation; coding practices; and scenarios. Clinical coders and health information managers participated in the 90-minute education program. Pre- and post-education surveys were administered to assess knowledge of stroke and coding, and to obtain feedback. Descriptive analyses were used for quantitative data, inductive thematic analysis for open-text responses, with all results triangulated. Results: Of 615 participants, 404 (66%) completed both pre- and post-education assessments. Respondents had improved knowledge for 9/12 questions (p < 0.05), including knowledge of applicable coding standards, coding of intracerebral haemorrhage and the actions to take when coding stroke (all p < 0.001). Majority of respondents agreed that information was pitched at an appropriate level; education materials were well organised; presenters had adequate knowledge; and that they would recommend the session to colleagues. In qualitative evaluations, the education program was beneficial for newly trained clinical coders, or as a knowledge refresher, and respondents valued clinical information from a stroke neurologist. Conclusion: Our education program was associated with increased knowledge for clinical coding of stroke. To continue to address the quality of coded stroke data through improved stroke documentation, the next stage will be to adapt the educational program for clinicians.
AB - Background: Accurate coded diagnostic data are important for epidemiological research of stroke. Objective: To develop, implement and evaluate an online education program for improving clinical coding of stroke. Method: The Australia and New Zealand Stroke Coding Working Group co-developed an education program comprising eight modules: rationale for coding of stroke; understanding stroke; management of stroke; national coding standards; coding trees; good clinical documentation; coding practices; and scenarios. Clinical coders and health information managers participated in the 90-minute education program. Pre- and post-education surveys were administered to assess knowledge of stroke and coding, and to obtain feedback. Descriptive analyses were used for quantitative data, inductive thematic analysis for open-text responses, with all results triangulated. Results: Of 615 participants, 404 (66%) completed both pre- and post-education assessments. Respondents had improved knowledge for 9/12 questions (p < 0.05), including knowledge of applicable coding standards, coding of intracerebral haemorrhage and the actions to take when coding stroke (all p < 0.001). Majority of respondents agreed that information was pitched at an appropriate level; education materials were well organised; presenters had adequate knowledge; and that they would recommend the session to colleagues. In qualitative evaluations, the education program was beneficial for newly trained clinical coders, or as a knowledge refresher, and respondents valued clinical information from a stroke neurologist. Conclusion: Our education program was associated with increased knowledge for clinical coding of stroke. To continue to address the quality of coded stroke data through improved stroke documentation, the next stage will be to adapt the educational program for clinicians.
KW - clinical coding
KW - education
KW - health information management
KW - international classification of diseases
KW - medical records
KW - stroke
UR - http://www.scopus.com/inward/record.url?scp=85164841773&partnerID=8YFLogxK
U2 - 10.1177/18333583231184004
DO - 10.1177/18333583231184004
M3 - Article
AN - SCOPUS:85164841773
SN - 1833-3583
JO - Health Information Management Journal
JF - Health Information Management Journal
ER -