COMPLIANCE WITH CLINICAL DOCUMENTATION PRACTICE AMONG MEDICAL DOCTORS IN NATIONAL REFERRAL HOSPITAL IN NAIROBI CITY COUNTY, KENYA
Abstract
Clinical documentation is fundamental to safe and effective patient care, yet global compliance remains below the World Health Organization's recommended 95% standard. In Kenya, compliance stands at 80%, with documented challenges in health information systems contributing to patient mismanagement and medical errors. Limited research has examined clinical documentation compliance among medical doctors in National Referral Hospitals despite their critical role in tertiary healthcare delivery. This study evaluated clinical documentation compliance rates and the influence of sociodemographic characteristics among medical doctors in National Referral Hospitals in Nairobi City County, Kenya. A descriptive analytical cross-sectional study was conducted among 203 medical doctors sampled from three National Referral Hospitals using stratified random sampling. Data were collected using structured questionnaires and the Medical Records Quality Scoring Checklist (MeReQ) to assess compliance across four quality dimensions: completeness, accuracy, legibility, and timeliness. Chi-square tests determined associations between sociodemographic characteristics and compliance at p≤0.05 significance level. Overall compliance was 67%, substantially below both Kenya's 80% and the international 95% standards. Gender (χ²=8.474, p=0.005) and age (χ²=26.732, p=0.001) demonstrated statistically significant associations with compliance. Female doctors showed higher compliance (88.3%) compared to males (72.3%), while mid-career doctors aged 35-47 years exhibited the lowest compliance (49.1%). Work experience, education level, ICT proficiency, and specialization showed no significant associations with compliance. The study concludes that clinical documentation compliance remains suboptimal in National Referral Hospitals. Gender and age significantly influence documentation adherence, necessitating targeted, age-specific and gender-sensitive interventions alongside comprehensive quality improvement frameworks to achieve international standards.
Keywords: Compliance, Clinical Documentation Practice, Medical Doctors, National Referral Hospital, Nairobi City County
References
Al Habib, A. F., Gosadi, I. M., & Alqarni, A. A. (2023). Prediction of electronic health record documentation compliance using machine learning. Perspectives in Health Information Management, 20(Fall), 1–13. https://pmc.ncbi.nlm.nih.gov/articles/PMC10701635/
Al-Otaibi, J., Tolma, E., Alali, W., Alhuwail, D., & Aljunid, S. M. (2022). The factors contributing to physicians' current use of and satisfaction with electronic health records in Kuwait's public health care: Cross-sectional questionnaire study. JMIR Medical Informatics, 10(10), Article e36313. https://doi.org/10.2196/36313
American Health Information Management Association. (2020). Clinical documentation improvement toolkit. AHIMA.
Auerbach, A. D., Schnipper, J. L., & Wetterneck, T. B. (2024). Diagnostic errors and patient safety: A systematic review. Journal of General Internal Medicine, 39(1), 111–120. https://doi.org/10.1007/s11606-023-08356-z
Bolado, G. N., Ayalew, T. L., Feleke, M. G., Haile, K. E., & Geta, T. (2023). Documentation practice and associated factors among nurses working in public hospitals in Wolaita Zone, Southern Ethiopia. BMC Nursing, 22(1), Article 330. https://doi.org/10.1186/s12912-023-01490-8
Bunting, J., & de Klerk, M. (2022). Strategies to improve compliance with clinical nursing documentation guidelines in the acute hospital setting: A systematic review and analysis. SAGE Open Medicine, 10, 1–14. https://doi.org/10.1177/23779608221075165
Cawthorn, A. (2025). Clinical documentation best practices: Ensuring accuracy and compliance. Indwes.edu Articles.
Chaiyachati, K. H., Shea, J. A., Asch, D. A., Liu, M., Bellini, L. M., Dine, C. J., Sternberg, A. L., Gitelman, Y., Barg, F. K., Reines, H., Myers, J. S., & Desai, S. V. (2019). Assessment of inpatient time allocation among first-year internal medicine residents using time-motion observations. JAMA Internal Medicine, 179(6), 760–767. https://doi.org/10.1001/jamainternmed.2019.0095
Chebole, S. M. (2015). Factors influencing adoption of electronic medical records systems in Kenyan public health facilities: The case of Nakuru County [Master's thesis, University of Nairobi].
Finnegan, H., & Mountford, N. (2025). 25 years of electronic health record implementation processes: Scoping review. Journal of Medical Internet Research, 27, Article e60077. https://doi.org/10.2196/60077
Jacob, A., Raj, R., Alagusundaramoorthy, S., Wei, J., Wu, J., & Eng, M. (2021). Impact of patient load on the quality of electronic medical record documentation. Journal of Medical Systems, 45(10), Article 90. https://doi.org/10.1007/s10916-021-01761-5
Li, Y., Nair, P., Lu, X., Wen, Z., Wang, Y., Dehmer, S. P., Maciosek, M. V., Wu, J., Luo, Z. C., & Yin, R. (2019). Evaluation of data quality of EHR data for predicting cardiovascular risk using machine learning algorithms. BMC Medical Informatics and Decision Making, 19(Suppl 4), Article 94.
Luna-Aleixos, A., Valero-Chillerón, M. J., Casanova-Navarro, L., González-Chordá, V. M., Andreu-Pejó, L., & Mena-Tudela, D. (2024). Electronic health record evaluation and optimization in primary care nursing. Healthcare, 12(6), Article 645. https://doi.org/10.3390/healthcare12060645
Lynam, A., Curtis, C., Stanley, B., Heatley, H., & Worthington, C. (2023). Data-resource profile: United Kingdom Optimum Patient Care Research Database. Pragmatic and Observational Research, 14, 11–25. https://doi.org/10.2147/POR.S384095
Makary, M. A., & Daniel, M. (2016). Medical error—the third leading cause of death in the US. BMJ, 353, Article i2139. https://doi.org/10.1136/bmj.i2139
Mallawarachchi, D. N. S. K. (2021). Assessment of compliance of physicians with the national medical record standards in government hospitals in Gampaha district, Sri Lanka. Journal of the College of Community Physicians of Sri Lanka, 27(2), 185–193. https://doi.org/10.4038/jccpsl.v27i2.8423
Ministry of Health, Kenya. (2017). Kenya Health Sector Strategic and Investment Plan (KHSSP) 2014-2018. Republic of Kenya.
Ministry of Health, Kenya. (2018). Kenya Health Sector Strategic Plan 2018-2023. Republic of Kenya.
Mukuna, K. (2025). Factors influencing quality of clinical documentation among healthcare workers: A multivariate analysis. Journal of Healthcare Quality Management, 15(1), 45–58.
Mwang'ombe, A. (2021). Determinants of utilization of electronic medical records systems in clinical management in public health care facilities in Mombasa County, Kenya [Master's thesis, University of Nairobi].
Ommaya, A. K., Cipriano, P. F., Hoyt, D. B., Horvath, K., Tang, N., & National Academies of Sciences, Engineering, and Medicine. (2018). Taking action against clinician burnout: A systems approach to professional well-being. National Academies Press. https://doi.org/10.17226/25521
Omoit, D. (2021). Compliance with the medical records documentation practice in Bungoma County Hospital, Kenya [Master's thesis, University of Nairobi].
Rajagopal, R. (2023, December 15). The medico-legal importance and use of good medical records. MOS Medical Record Review. https://mosmedicalrecordreview.com/the-medico-legal-importance-and-use-of-good-medical-records/
Rajbhandari, P., Auron, M., Worley, S., & Marks, M. (2021). Improving documentation of inpatient problem list in electronic health record: A quality improvement project. Journal of Patient Safety, 17(8), e1371–e1375. https://doi.org/10.1097/PTS.0000000000000490
Rudolph, B., Noe-Bustamante, L., Oestmann, I., Ohuche, E., & Nwakoby, N. (2017). Factors associated with compliance to standard operating procedures for child health documentation by frontline health workers. BMC Health Services Research, 17(1), Article 829. https://doi.org/10.1186/s12913-017-2784-4
Samaha, H. L., Rouleau, G., Hogue, R. J., & Blais, R. (2022). Physician documentation quality in outpatient chronic disease care: A mixed-methods study. BMC Health Services Research, 22(1), Article 867. https://doi.org/10.1186/s12913-022-08247-2
Vaithamanithi, M., Raghavan, C., Vasudevan, K., & Gopichandran, V. (2016). Experience of primary care physicians with electronic medical records: A qualitative study. Perspectives in Clinical Research, 7(3), 122–126. https://doi.org/10.4103/2229-3485.184816
World Health Organization. (2018). Patient safety: Global action on patient safety. WHO. https://www.who.int/teams/integrated-health-services/patient-safety
Wurster, D., Rodger, J. A., & Schaefer, P. (2024). The impact of EMR adoption on clinical documentation completeness and accuracy. Health Informatics Journal, 30(1), 14604582241228915. https://doi.org/10.1177/14604582241228915
Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper and Row.