Evaluation of Diagnostic Specifications and Appropriateness of ICD Codes for Diabetes Mellitus Based on Age and Gender of Inpatients in Magelang City Hospital in 2023


  • (1)  Ratnaningsih Mulyati            Medical Record & Health Information, Universitas Dian Nuswantoro Semarang, Central Java  
            Indonesia

  • (2)  Jaka Prasetya            Medical Record & Health Information, Universitas Dian Nuswantoro Semarang, Central Java  
            Indonesia

  • (3) * Faik Agiwahyuanto            Medical Record & Health Information, Universitas Dian Nuswantoro Semarang, Central Java  
            Indonesia

    (*) Corresponding Author

Abstract

Diabetes militus is classified into two types, namely type 1 and type 2, the disease ranks top as a non-communicable disease with a high number of sufferers. The determination of diagnoses and diagnosis codes must be precise so that the codes given by PMIK can be declared specific and appropriate, therefore it is necessary to review the provision of diagnosis codes on patients to determine the factors that cause non-specific and inappropriate codes based on age and gender and present the distribution of diabetes militus in Magelang City. The method used was descriptive qualitative by observing 144 medical record documents of patients with the main diagnosis of diabetes mellitus. The results showed that the specification of the main diagnosis of diabetes mellitus in Magelang City Hospital was 100%. The suitability of the main diagnosis code of diabetes mellitus based on the category can be concluded that the specific and appropriate code was found as much as 61%. While specific and inappropriate codes were found at 39%. The age of patients with diabetes is 23-90 years old, with the average age of patients being 59 years old. Patients with 56 years of age occupied the highest number of sufferers. Patients with female gender are more dominant in experiencing diabetes militus, when presented it reaches 63% while male patients are only 37%. The highest distribution of patients with diabetes mellitus in Magelang Hospital came from outside the city, namely Magelang District or 68%. Patients in Magelang city only reached 32%. Suggestions for further research would be better to consider taking the file period to avoid recording medical records during the media transfer period

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References

Ministry of Health, Regulation of the Minister of Health of the Republic of Indonesia Number 24 of 2022 concerning Medical Records. Jakarta: Ministry of Health, 2022.

Indonesian Ministry of Health, Guidelines for the Management of Hospital Medical Records in Indonesia. Jakarta: Directorate General of Medical Services, vol. 15, no. 6, 2009.

R. Abduh, ‘Legal Review of Medical Records as Evidence of Medical Malpractice,’ De Lega Lata: Journal of Legal Science, vol. 6, no. 1, pp. 45-54, 2021.

E. Garmelia, I. Irmawati, and L. N. Hanifah, ‘Analysis of PMIK Capability towards Completeness and Accuracy of Diagnosis Code of Labour Cases in Hospital,’ Indonesian Journal of Health Information Management (INOHIM), vol. 10, no. 2, pp. 92-100, 2022, doi: 10.47007/inohim.v10i2.432.

F. Ariyanti and M. T. Gifari, ‘Analysis of BPJS Health Claim Approval for Inpatients,’ Journal of Public Health Sciences, vol. 8, no. 4, pp. 214-222, 2019, doi: 10.33221/jikm.v8i04.415.

S. Tambunan, D. H. Putra, L. Indawati, and P. Fannya, ‘Review of Factors Causing Delayed Inpatient BPJS Health Claims at RSUD Tarakan,’ Comserva Indonesian Journal of Community Services and Development, vol. 1, no. 10, pp. 37-45, 2022, doi: 10.36418/comserva.v1i10.134.

P. Restiana, ‘Review of the Accuracy of Diagnosis Coding of Diabetes Mellitus Cases in Inpatients at Medika Permata Hijau Hospital,’ B.S. thesis, Univ. Esa Unggul, Jakarta, 2018.

D. S. Prawitasari, ‘Diabetes Mellitus and Antioxidants,’ Keluwih: Journal of Health and Medicine, vol. 1, no. 1, pp. 23-32, 2019, doi: 10.24123/kesdok.v1i1.2496.

S. Suryono, Pathophysiology of Diabetes Mellitus. Yogyakarta: Gadjah Mada University Press, 2002.

D. S. Agung and J. Siti, ‘Analysis of the Accuracy of Diabetes Mellitus Diagnosis Codes Based on ICD-10 in Outpatients at Puskesmas Pleret Bantul,’ in Proc. National Health Information Seminar (SIKesNas), 2023, pp. 102-106.

F. Agiwahyuanto, T. I. Sari, and S. Octaviasuni, ‘Analysis of Coding Accuracy and Officer Performance in the Coding/Indexing Unit of Mitra Husada Hospital, Pringsewu City,’ Indonesian Journal of Health Information Management, vol. 7, no. 2, pp. 114-122, 2019, doi: 10.33560/jmiki.v7i2.243.

N. Djamaluddin and V. M. O. Mursalin, ‘Overview of Gestational Diabetes Mellitus in Pregnant Women at Prof. Dr. H. Aloei Saboe Hospital, Gorontalo City,’ Jambura Nursing Journal, vol. 2, no. 1, pp. 45-53, 2020, doi: 10.37311/jnj.v2i1.6858.

N. Nurmaili, F. Fahdhienie, and W. Wardiati, ‘Analysis of Risk Factors Causing the Incidence of Diabetes Mellitus in Women of Productive Age (15-49 Years) in the Working Area of Kualabhee Health Centre, Woyla District, West Aceh Regency in 2022,’ Journal of Health and Medical Science, vol. 2, no. 1, pp. 34-40, 2022, doi: 10.51178/jhms.v2i1.1014.

R. Betteng, ‘Analysis of Risk Factors for the Occurrence of Type 2 Diabetes Mellitus in Women of Productive Age at Puskesmas Wawonasa,’ Journal of e-Biomedicine, vol. 2, no. 2, pp. 89-95, 2014, doi: 10.35790/ebm.2.2.2014.4554.

S. R. Fauziah et al., ‘Risk of Genetic Factors for the Incidence of Diabetes Mellitus in Bae Village, Kudus Regency,’ Journal of Smart Midwifery, vol. 4, no. 2, pp. 58-65, 2018, doi: 10.34310/sjkb.v4i2.119.

N. Wulan Sari, H. Akbar, et al., Theory and Application of Health Epidemiology. Yogyakarta: Gadjah Mada University Press, 2021.

I. Priatna et al., Epidemiological Surveillance Training Module for Puskesmas Officers. Jakarta: Indonesian Ministry of Health, 2018.

I. Huang, ‘Pathophysiology and Diagnosis of Decreased Consciousness in Patients with Diabetes Mellitus,’ Medicinus, vol. 5, no. 2, pp. 34-42, 2018, doi: 10.19166/med.v5i2.1169.

S. Arifin, F. Rahman, A. Wulandari, and V. Y. Anhar, Fundamentals of Health Management. Yogyakarta: Gadjah Mada University Press, 2016.

T. Ibrahim and A. Rusdiana, Integrated Quality Management. Bandung: Yrama Widya, 2019. [Online]. Available: http://www.yrama-widya.co.id

A. T. Iman and D. L. S. K. Dewi, Health Information Quality Management I: Quality Assurance. Jakarta: Centre for Health Human Resources Education, 2017.

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Published
2024-11-22
 
How to Cite
[1]
R. Mulyati, J. Prasetya, and F. Agiwahyuanto, “Evaluation of Diagnostic Specifications and Appropriateness of ICD Codes for Diabetes Mellitus Based on Age and Gender of Inpatients in Magelang City Hospital in 2023”, PELS, vol. 6, pp. 168-175, Nov. 2024.