Effect of developed computerized clinical decision support system on medication use in patients with renal impairment.

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อติพล คล้ายปักษี
อัษฎางค์ พลนอก

Abstract

Objective: To evaluate inappropriate drug use in patients with chronic kidney disease in inpatient department before and after the implementation of the computerized clinical decision support system (CCDSS). Method: Research design was a quasi-experiment. The CCDSS developed by the researchers could alert on drug uses in various channels including 1. through computer system by displaying a pop up window when the patient received a drug requiring attention, and by automatically displaying eGFR value. 2. through important documents, i.e. medication administration record (MAR), by showing the last 3 eGFR values ​​and displaying statement "patients with chronic kidney disease at various stages", and printing eGFR value on the drug label. In addition, there was a supportive database system for printing physician consultation form through the UE form (universal form entry) in the HOSxP program and being able to check the status of consultation through the MAR. This study compared inappropriate drug use before and after implementation of the system for 3 months by retrieving the data from electronic medical records in HOSxP. Results: After using the CCDSS system, inappropriate drug use decreased significantly from 52.58 to 39.10%(P <0.001). Inappropriate drug use decreased in 4 PCTs (patient care team) from the total of 6 PCTs, namely, surgery, medicine, critical care and kidney disease.After the implementation of the CCDSS, the system alerted for 320 times. The pharmacists consulted physicians on 157 alerts. Physicians changed, did not change and stopped medical treatment in 32.48, 50.96 and 16.56 percent of consultation, respectively. There were 9 items of drug with change of order by physicians as a result of consultation by pharmacists leading to the reduction of inappropriate drug use including ceftazidime, meropenem, cefazolin, ciprofloxacin, co-trimoxazole, ertapenem, augmentin, colchicine and glibanclamide. Conclusion: The developed system is effective in reducing inappropriate use of drugs in patients with chronic kidney disease.

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References

1. Ingsathit A, Thakkinstian A, Chaiprasert A, Sangthawan P, Gojaseni P, Kiattisunthorn K, et al. Prevalence and risk factors of chronic kidney disease in the Thai adult population: Thai SEEK study. Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. 2010;25(5):1567-75.
2. Verbeeck RK, Musuamba FT. Pharmacokinetics and dosage adjustment in patients with renal dysfunction. European journal of clinical pharmacology. 2009;65(8):757-73.
3. Sheen SS, Choi JE, Park RW, Kim EY, Lee YH, Kang UG. Overdose rate of drugs requiring renal dose adjustment: data analysis of 4 years prescriptions at a tertiary teaching hospital. Journal of general internal medicine. 2008;23(4):423-8.
4. Yang P, Chen N, Wang RR, Li L, Jiang SP. Inappropriateness of medication prescriptions about chronic kidney disease patients without dialysis therapy in a Chinese tertiary teaching hospital. Therapeutics and clinical risk management. 2016;12:1517-24.
5. Thanasermsuay W. The effect of pharmacist’s intervention on dosage adjustment for patients with renal insufficiency at the medical ward of Ramathibodi Hospital. [master thesis]. Bangkok: Mahidol University; 2006
6. Chutinara W, Thongsodsaeng S, Khanthahat S. Outcome of adjustment dosage of antibiotics in patients with renal impairment. Thai journal of hospital pharmacy 2012;22(2): 96-105.
7. Kondo Y, Ishitsuka Y, Shigemori E, Irikura M, Kadowaki D, Hirata S, et al. Awareness and current implementation of drug dosage adjustment by pharmacists in patients with chronic kidney disease in Japan: a web-based survey. BMC health services research. 2014;14:615.
8. Awdishu L, Coates CR, Lyddane A, Tran K, Daniels CE, Lee J, et al. The impact of real-time alerting on appropriate prescribing in kidney disease: a cluster randomized controlled trial. Journal of the American Medical Informatics Association : JAMIA. 2016;23(3):609-16.
9. Such Diaz A, Saez de la Fuente J, Esteva L, Alanon Pardo AM, Barrueco N, Esteban C, et al. Drug prescribing in patients with renal impairment optimized by a computer-based, semi-automated system. International journal of clinical pharmacy. 2013;35(6):1170-7.
10.Aworn N, Ratanadechsakul P, Ratanadechsakul J, Sriudorn P, Phadungsai N, Sommart S, Effect of developed “CKD alert pop up” ; Case study in Phanomphrai Hospital, Roiet Province. Routine development program for national research and R2R network partners; 2014 July 23-25; IMPACT Arena, exhibition and convention center, Muang thong thani. Bangkok; 2014. p.156-7.
11. Saengpeng A, Saramunee K, Anusornsangia W. Development of dosage adjustment system for in-patients with renal impairment at Prasat hospital, Surin province. Thai journal of pharmacy practice 2017;9(1):280-91.
12.Backman R, Bayliss S, Moore D, Litchfield I. Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence. Systematic reviews. 2017;6(1):255.
13. Weingart SN, Simchowitz B, Padolsky H, Isaac T, Seger AC, Massagli M, et al. An empirical model to estimate the potential impact of medication safety alerts on patient safety, health care utilization, and cost in ambulatory care. Archives of internal medicine. 2009;169(16):1465-73.
14. Vidal L, Shavit M, Fraser A, Paul M, Leibovici L. Systematic comparison of four sources of drug information regarding adjustment of dose for renal function. BMJ (Clinical research ed). 2005;331(7511):263.
15. Bonapace CR, White RL, Frich LV, Bosso JA. Differences in antimicrobial drug exposure in patients with various degrees of renal function based on recommendations from dosing references. Pharmacotherapy. 2002;22(9):1097-104.