The Influence of Patient Attendance for 5 Years in Prolanis (Chronic Disease Management Program) on Body Mass Index and Chronic Disease Parameters

https://doi.org/10.22146/rpcpe.102827

Reza Arif Fadillah(1*), Irvan Afriandi(2), Insi Farisa Desy Arya(3)

(1) Family Medicine Specialist Study Program; Faculty of Medicine; Universitas Padjadjaran; Indonesia
(2) Faculty of Medicine; UniversitasPadjadjaran; Indonesia
(3) Faculty of Medicine; UniversitasPadjadjaran; Indonesia
(*) Corresponding Author

Abstract


Background: Chronic diseases such as diabetes and hypertension are one of the biggest causes of death in the world and in Indonesia. Social Insurance Administration Organization or Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan, a health insurance in Indonesia, has a chronic disease management program or prolanis Patients who follow the prolanis program follow the prolanis program process for years. Objective: This study looks at whether patients who have followed the prolanis program for 5 years from 2019 to 2023 get good output results of health parameters such as blood pressure, HbA1c, Total Cholesterol, LDL, HDL, Ureum, Creatinine, and eGFR. Methods: This research method is a quantitative analytic retrospective on 151 patients who participated in the prolanis program during the period 2019 to 2023 with a pre-post retrospective research design. Normality tests were performed on all variables to determine the distribution of data distribution and bivariate analysis.  The parameters assessed were Body Mass Index, HbA1c, Total Cholesterol, LDL, HDL, Triglycerides, Ureum, Creatinine, eGFR and Blood Pressure. Results: The results showed that significant differences occurred in the values of HbA1c, ureum, creatinine, and eGFR parameters in the group of patients with attendance ≥40 months. The Δ value from 2023 to 2019 has a significant difference (p-value <0.05) based on the HbA1c variable which increased in value in the ≥40 months attendance group, and decreased in value in the <40 months attendance group, then there was no significant difference in the value of other parameters in all attendance groups. For hypertension, the highest incidence of hypertension occurred in attendance <40 months less than attendance ≥40 months so that there was no relationship between attendance and blood pressure values in the last year (year 2023). Conclusions: It was concluded that attendance for 5 years with attendance ≥ 40 months was beneficial in maintaining eGFR function compared to attendance < 40 months. However, it has not been proven to be beneficial in maintaining the stability of HbA1c in the attendance group ≥ 40 compared to the attendance group < 40 months. Although there was an increase in ureum and creatinine, attendance ≥ 40 months proved to be able to maintain the stability of ureum and creatinine in normal numbers. From the results of the study, the highest incidence of hypertension occurred in attendance ≥40 months compared to attendance <40 months, so there is no relationship between the number of attendance with blood pressure values.

Keywords


Attendance; creatinine; eGFR; HbA1c; HDL; hypertension; LDL; prolanis; total cholesterol; type 2 diabetes mellitus; ureum



References

  1. World Health Organization. Noncommunicable Diseases.2021. Available from (https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases).
  2. Kemenkes RI. Laporan Tahunan Program Prolanis. Kementerian Kesehatan Republik Indonesia. 2020.
  3. BPJS Kesehatan Petunjuk Teknis Pelaksanaan Program Pengelolaan Penyakit Kronis (Prolanis) di FKTP. 2016, p. 1-21.
  4. Bodenheimer, T. The Role of Primary Care in Health Care Reform. JAMA. 2002; 288(8): 1048-1051.
  5. Hibbard JH., Greene J. What the Evidence Shows About Patient Activation: Better Health Outcomes and Care Experiences. Health Affairs. 2013; 32(2): 207-214.
  6. Britt H, Miller G. Factors Influencing Patient Attendance in Primary Care. Australian Family Physician. 2018; 47(5): 287-291.
  7. Elizabeth M. Changes in Metabolic Parameters of Hemoglobin A1c, Weight, and Blood Pressure During and After COVID-19 Stay-at-Home Orders. 2020. doi: 10.3122/jabfm.2023.230205R1.
  8. Wulandari R., Sari A. Hubungan antara Partisipasi Prolanis dan Pengendalian Gula Darah pada Pasien Diabetes. Jurnal Endokrinologi dan Metabolisme, 2021; 5(2): 101-109.
  9. American Diabetes Association (ADA). Standards of Medical Care in Diabetes. 2022.
  10. Fihaya FY, Sofiatin Y, Ong PA, Sukandar H, Roesli RMA. Prevalence of Hypertension and Its Complications in Jatinangor 2014. J Hypertens. 2015 ; 33-35. doi: 10.1097/01.HJH.0000469851.39188.36
  11. Mansyur M, Supriyanto S. Pengaruh Program Prolanis Terhadap Kualitas Hidup Pasien Diabetes Melitus. Jurnal Kesehatan Masyarakat. 2021; 15(2): 123-130.
  12. Sari R., Setiawan B. Hubungan antara pengelolaan diabetes dengan profil lipid pada pasien diabetes mellitus. Jurnal Kesehatan Masyarakat. 2021: 15(1), 31-38.
  13. Suharno B. Kreatinin Serum sebagai Indikator Efektivitas Program Prolanis. Jurnal Nefrologi dan Urologi. 2020; 11(1): 75-82.
  14. Rahayu S. Hubungan antara Prolanis dan Pengelolaan Penyakit Ginjal. Jurnal Nefrologi Indonesia. 2021; 8(1): 45-50.
  15. Bissonnette JM. Improving Medication Adherence: A Review of the Literature. Canadian Family Physician. 2018; 64(4): 284-290.



DOI: https://doi.org/10.22146/rpcpe.102827

Article Metrics

Abstract views : 73

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Reza Arif Fadillah

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


View My Stats