Effectivity of Indonesia Chronic Disease Management Program (PROLANIS) to Control Hypertension and its Comorbidities at Primary Health Care
Effectivity of PROLANIS to Control Hypertension
DOI:
https://doi.org/10.3889/oamjms.2020.4583Keywords:
Government program, hypertension, primary healthcare, IndonesiaAbstract
BACKGROUND: National prevalence of hypertension in Indonesia is increasing in the past few years. One of the reasons is because of the weaknesses in health systems, particularly at the primary care level. To resolve this issue, Indonesian government launched a chronic disease care program (PROLANIS) designed to be done at primary health care with the aim to control hypertension. Wates primary health care routinely conducts the program from April 2018.
AIM: This study aims to evaluate the effectivity of PROLANIS in controlling hypertension and its comorbidities at Wates primary health care.
METHODS: This study was an observational retrospective cohort study using secondary data from PROLANIS report at Wates primary health care in Mojokerto city, Indonesia. The study population was hypertensive patients that voluntarily joined the program on April 2018 and routinely attend evaluation follow-up every 6 months. Follow-up evaluation including blood pressure (BP), body mass index (BMI), total cholesterol (TC), high-density lipid (HDL), low-density lipid (LDL), triglyceride, and estimated glomerular filtration rate (eGFR).
RESULTS: There were 44 participants included for the analysis. Median systolic and diastolic BP were always within normal range. Triglyceride serum level showed an improvement in every follow-up evaluation. BMI and LDL showed an improvement in the first follow-up but deteriorated afterward. TC only showed a remarkable improvement in the last follow-up evaluation, while HDL and eGFR result were fluctuate.
CONCLUSION: PROLANIS was effective to control BP at Wates primary health care, but not effective to control all comorbidities. Future study needs to be done to elucidate the effectivity of this program countrywide.
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References
World Health Organization. Global Status Report on Noncommunicable Diseases 2014. Geneva: World Health Organization; 2014.
World Health Organization. A Global Brief on Hypertension: Silent Killer, Global Public Health Crisis. Geneva: World Health Organization; 2013. https://doi.org/10.5005/ijopmr-24-1-2
Kementerian Kesehatan Republik Indonesia. Hasil Utama RISKESDAS 2018. Jakarta, Indonesia: Kementerian Kesehatan Republik Indonesia; 2018.
World Health Organization. Draft Action Plan for the Prevention and Control of Noncommunicable Diseases 2013-2020. Geneva: World Health Organization; 2013. Available from: http://www.who.int/nmh/events/2013/consultation_201303015/ en. [Last accessed on 2019 Sep 08].
BPJS Kesehatan. Panduan Praktis PROLANIS (Program Pengelolaan Penyakit Kronis); 2014. Available from: https:// www.bpjs-kesehatan.go.id/bpjs/dmdocuments/06-PROLANIS. pdf. [Last accessed on 2019 Sep 08]. https://doi.org/10.32832/ hearty.v6i2.1277
Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31-41. https://doi. org/10.1159/000180580 PMid:1244564
Dyanneza F, Tamtomo D, Sugiarto S. The effectiveness of chronic disease management program in blood pressure control among hypertensive patients. Indones J Med. 2017;2(1):52-62. https://doi.org/10.26911/theijmed.2016.01.03.06
Son KJ, Son HR, Park B, Kim HJ, Kim CB. A community-based intervention for improving medication adherence for elderly patients with hypertension in Korea. Int J Environ Res Public Health. 2019;16(5):16050721. https://doi.org/10.3390/ ijerph16050721 PMid:30823383
Lu CH, Tang ST, Lei YX, Zhang MQ, Lin WQ, Ding SH, et al. Community-based interventions in hypertensive patients: A comparison of three health education strategies. BMC Public Health. 2015;15:33. https://doi.org/10.1186/s12889-015-1401-6 PMid:25631224
Lobato JC, Kale PL, Velarde LG, Szklo M, Costa AJ. Correlation between mean body mass index in the population and prevalence of obesity in Brazilian capitals: Empirical evidence for a population-based approach of obesity. BMC Public Health. 2015;15:322. https://doi.org/10.1186/s12889-015-1637-1 PMid:25885330
Chan RS, Woo J. Prevention of overweight and obesity: How effective is the current public health approach. Int J Environ Res Public Health. 2010;7(3):765-83. https://doi.org/10.3390/ ijerph7030765 PMid:20617002
Zhu B, Haruyama Y, Muto T, Yamasaki A, Tarumi F. Evaluation of a community intervention program in Japan using Framingham risk score and estimated 10-year coronary heart disease risk as outcome variables: A non-randomized controlled trial. BMC Public Health. 2013;13:219. https://doi. org/10.1186/1471-2458-13-219 PMid:23497156
Pandey RM, Agrawal A, Misra A, Vikram NK, Misra P, Dey S, et al. Population-based intervention for cardiovascular diseases related knowledge and behaviours in Asian Indian women. Indian Heart J. 2013;65(1):40-7. https://doi.org/10.1016/j. ihj.2012.12.019 PMid:23438611
Haby MM, Doherty R, Welch N, Mason V. Community-based interventions for obesity prevention: lessons learned by Australian policy-makers. BMC Res Notes. 2012;5:20. https:// doi.org/10.1186/1756-0500-5-20 PMid:22233586
Rachmawati S, Prihhastuti-Puspitasari H, Zairina E. The implementation of a chronic disease management program (Prolanis) in Indonesia: A literature review. J Basic Clin Physiol Pharmacol. 2019;30(6):350. https://doi.org/10.1515/ jbcpp-2019-0350 PMid:31860469
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Copyright (c) 2020 Firas Farisi Alkaff, William Putera Sukmajaya, Ryan Enast Intan, Sovia Salamah (Author)
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