Implementation the Fourth Character Code of Insulin Dependent Diabetes Mellitus (IDDM) Diagnosis Based International Statistical Classification of Diseases and Related Health Problems
Abstract
Coding is the assignment of codes by using letters in numbers that represent data components. Activities and actions as well as diagnoses contained in the medical record must be coded and then indexed to facilitate services in presenting information to support the functions of planning, management and research in the health sector. This study aims to determine the application of the 4th character code to the diagnosis of Insulin Dependent Diabetes Mellitus (IDDM) based on ICD 10 in inpatient medical records at RSAU dr Siswanto Lanud Adi Soemarmo in 2020. The research method uses descriptive. The approach used is retrospective with observation and interview data collection. The sample used was 117 inpatient medical record documents with a diagnosis of Insulin Dependent Diabetes Mellitus (IDDM) with a sampling technique using saturated samples.The procedure for implementing the coding is not yet in accordance with the SPO and the SPO for the application of the 4th character code does not yet exist. The accuracy of the application of the 4th character code in the diagnosis of Insulin Dependent Diabetes Mellitus (IDDM) was 57% (67 documents) and 43% (50 documents) incorrectly due to an error in selecting the 4th character code. The factors causing the 4th character code inaccuracy based on ICD 10, namely medical personnel factors and medical record personnel (coder). Researchers suggest that hospitals should socialize to medical personnel about writing a diagnosis, this will minimize errors in the 4th character code. Coder officers should be more careful in coding and check again on ICD 10 volume 1 to provide the right code.
References
dr. Evi Kurniawaty. (2018). Type 1 Diabetes Mellitus in Adolescents. Yogyakarta: Graha Ilmu.
Dr. dr. Ratih Puspita, F. et al. (2020). Diabetes Mellitus Pocket Book for the Layman. Surakarta. UNS PRESS.
Ernawati, Yati Maryati. (2017). Review of the Accuracy of the Diagnostic Code for the Case of NIDDM (Non Insulin Dependent Diabetes Mellitus) Inpatients at Pertamina Jaya Hospital in 2016. Vol. 5 No 1. Journal of INOHIM. Esa Unggul University Jakarta.
Errica Rostia Loren.dkk. (2020). Analysis of Factors Causing Inaccuracy of Diagnosing Code for Diabetes Mellitus at Haji General Hospital Surabaya. Vol. 1 No. 3. Journal of Medical Records. Jember State Polytechnic.
Gemala R. Hatta. (2013). Guidelines for Health Information Management in Health Service Facilities. Jakarta: UI PRESS.
International Diabetes Federation (IDF). (2021). IDF Diabetes Atlas 10 Th Edition: International Diabetes Federation.
Notoatmodjo, S. (2018). Methodology of Health Research. Jakarta : Rineka Cipta.
Nuryati, MPH. (2011). Medical Terminology Introduction to Medical Terms. Yogyakarta; Quantum Synergistic Media.
Regulation of the Minister of Health Number 269/menkes/per/III/2008 concerning Medical Records. Jakarta: Indonesian Minister of Health.
Regulation of the Minister of Health of the Republic of Indonesia Number 55 of 2013 concerning the Implementation of Medical Recorder Jobs. Jakarta: Ministry of Health RI.
Pramono Angga Eko, et al. Continuity of ICD-10 Code: Case Study of Diabetes Mellitus in Prolanis Patients at Gondomanan Public Health Center, Yogyakarta City. Proceedings: National Seminar on Medical Records and Health Information. Yogyakarta.
Saryono, and Anggraeni, D.M. (2013). Qualitative and Quantitative Research Methodology in the Health Sector. Yogyakarta: Nuha Medika.
Sugiyono. (2016). Quantitative, Qualitative and R&D Research Methods. Bandung: Alphabeta.
Tara Elma F. and Maisharoh. (2020). Factors Affecting the Accuracy of Coding Disease Diagnosis. Vol. 1 No.2. Research and Service Institute. Sticks Dharma Landbouw Padang.
Warsi Maryati. et al. (2018). Relationship of Completeness of Medical Information and Accuracy of Diabetes Mellitus Diagnostic Code. Vol. 1 No. 2. Journal of Medical Records and Health Information. Universitas Duta Bangsa Surakarta.
World Health Organization (WHO). (2016). International Statistical Classification of Diseases and Related Health Problems 10th Revision. Volume 2. Geneva