Effects of Training on Quality of Clinical Coding at Mbagathi County Referral Hospital, Nairobi City County, Kenya

Authors

  • Josephat Gachoka Kiongo Kenyatta University, Kenya
  • Otieno G. O.
  • Yitambe A. O

DOI:

https://doi.org/10.31686/ijier.vol6.iss1.943

Keywords:

Quality, Clinical Coding, Code completeness, Code accuracy

Abstract

Introduction: Professionals from various cadres in the health sector raise concerns regarding the poor quality of clinical coding leading to lack of evidence-based practice. Assessing the quality of the clinical coding in one of Nairobi City County’s major hospital would be a step towards establishing the exact gaps in quality of the coding process and outcome. Training the professionals would also foster better clinical coding practice in one of the major facilities nationally.

Method: The study aimed at establishing the quality of clinical coding within Mbagathi County Referral Hospital, and thereafter determined the effect of training on the established clinical coding quality. An interventional trial study design was used, with a quality of clinical coding checklist used classify codes assignment or lack of which. The sample included 320 patient files selected randomly from a month-long list of patients.

Results: The study found out that the overall baseline code quality was slightly above average given that majority (55%) of the code assignment were good as established by a composite score of the various coding quality attributes assessed. Given the need for training based on the low quality, a training intervention was then conducted based on the needs identified. An indexing database was also installed for the coders to use in encoding the codes assigned. Code quality improved to 77% after the training. Code completion was excellent at the facility, as established from the 97% of the files that were completely coded at baseline and later improved to 99%. Notably, also, is that the hospital improved its coding of procedures and death certification by 32 and 53% respectively. The hospital also started using the indexing tool that was introduced as an intervention.

Conclusions: The health facility could act as a good benchmark for code completion. However, code completion without accuracy in the code assignment invalidates the overall quality of coding. Code accuracy improved with the training almost immediately after the interventions. More practice would for sure lead to better clinical coding accuracy.

 

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References

De Vaus, D. (2013). Surveys in social research. Routledge.
Diabetes, N. H. S. (2015). Coding, Classification and Diagnosis of Diabetes. MPs. & Royal College of General Practitioners.
EAPHLN. (2013). Communicable Disease Burden Kenya 2009 - 2013. Nairobi: The East Africa Public Health Laboratory Network - Kenya .
Leekam, S. R., Libby, S. J., Wing, L., Gould, J., & Taylor, C. (2002). The Diagnostic Interview for Social and Communication Disorders: algorithms for ICD‐10 childhood autism and Wing and Gould autistic spectrum disorder. Journal of Child Psychology and Psychiatry, 43(3), 327-342.
Lobbestael, J., Leurgans, M., & Arntz, A. (2011). Inter‐rater reliability of the Structured Clinical Interview for DSM‐IV Axis I disorders (SCID I) and Axis II disorders (SCID II). Clinical psychology & psychotherapy, 18(1), 75-79.
Medecins Sans Frontieres (MSF). (2015, June 2nd). Kenya: MSF concerned with the rapid spread of the cholera outbreak. Retrieved October 29, 2015, from Medecins Sans Frontiers: http://www.msf.org/article/kenya-msf-concerned-rapid-spread- cholera-outbreak
Mwangi, L. W. (2012). A clinical audit of emergency caesarean deliveries at Kenyatta National Hospital (Doctoral dissertation, University of Nairobi, Kenya).
Simon, J., Bakr, W. S., Ma, R., Tai, M. E., Preiss, P. M., & Greiner, M. (2011). Quantum simulation of antiferromagnetic spin chains in an optical lattice. Nature, 472(7343), 307-312.
Stausberg, J., Lehmann, N., Kaczmarek, D., and Stein, M. (2008) "Reliability of diagnoses coding with ICD-10." International journal of medical informatics 77, no. 1. pp. 50-57.
World Health Organization (WHO) (2004). International Statistical Classification of Diseases and Related Health Problems 10th Revision. Geneva: World Health Organization.
World Health Organization (WHO) (2005). History of the development of ICD. http://www.who.int/classifications/icd/en/HistoryOfICD.pdf, .
World Health Organization (WHO). (2006). International Statistical Classification of Diseasesand Related Health Problems. . World Health Organization: http://www.who.int/classifications/icd/en/.
World Health Organization (WHO). (1992). International Statistical Classification of Diseases and Related Health Problems. The 10th Revision, Volume 1, Geneve.

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Published

2018-01-01

How to Cite

Kiongo, J. G., G. O., O., & A. O, Y. (2018). Effects of Training on Quality of Clinical Coding at Mbagathi County Referral Hospital, Nairobi City County, Kenya. International Journal for Innovation Education and Research, 6(1), 231-237. https://doi.org/10.31686/ijier.vol6.iss1.943