Analysis of drug-food interactions in inpatient treatment: A university hospital case

Main Article Content

Ilker Kose, Ph.D. Gizem Gencyurek, Dietician Zeynep Altinbas Atan, M.Sc. Dietician Beytiye Ozge Elmas, M.Sc. HC Management

Abstract

Patients' nutrition during inpatient treatment can reduce the pharmacodynamics of drugs. Therefore, monitoring of drug-nutrient interactions is essential for patient safety. Pharmaceutical Data Banks (PDB) databases provide information regarding potential drug-drug, drug-food, and drug-allergy interactions. When Clinical Decision Support Systems (CDSS) are integrated with PDBs, drug-drug and drug-allergy interactions can be prevented when physicians prescribe drugs and when pharmacists evaluate those prescriptions. However, nutrition planning is done by dieticians, and it is not common practice for dieticians to use CDSSs integrated with PDB to access patient prescription information. This study aims to measure drug-food interactions in hospitals where physicians and pharmacists use CDSSs integrated with PDBs. For the most part, dieticians plan patient diets according to the patient's primary disease (diabetes, etc.) and do not access prescription data. We cooperated with a university hospital in Turkey, accredited by HIMSS in 2017 at EMRAM Stage 6, to monitor hospitalized patients for at least one week in 2018. According to the findings, it was determined that 1,451 different drugs were administered 1,620,573 times to a total of 27,455 patients. It was determined that eight (0.55%) different drugs administered to 581 (2.1%) of the patients could interact with food and that these eight drugs were prescribed 8,089 times (0.49%) during the observation period. Although some drug-nutrient interactions were documented due to the study, the number of detected and documented interactions and their severity were relatively low. Precautions taken by dieticians, such as completely removing certain nutrients, like grapefruit, from the diet list, seem to be effective in preventing common interactions. To eliminate drug-nutrient interactions, it will be beneficial for dieticians to access patients' prescribing information and use the CDSS integrated with PDB.

Keywords: Drug-Food Interaction, Pharmaceutical Data Bank, Clinical Decision Support Systems, HIMSS, EMRAM

Article Details

How to Cite
KOSE, Ilker et al. Analysis of drug-food interactions in inpatient treatment: A university hospital case. Medical Research Archives, [S.l.], v. 9, n. 2, feb. 2021. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/2345>. Date accessed: 20 apr. 2024. doi: https://doi.org/10.18103/mra.v9i2.2345.
Section
Research Articles

References

1. Karadakovan A. İlaç Etkileşimleri ve Hemşire Sorumlulukları. Ege Üniversitesi Hemşirelik Yüksek Okulu Derg. 1994;10:5-7.
2. Şensoy F, Özaydın FN. Besin-İlaç Etkileşimleri. In: Hastalıklarda Beslenme Tedavisi. ; 2017:981-1013.
3. Mirakian R, Ewan PW, Durham SR, et al. BSACI guidelines for the management of drug allergy. Clin Exp Allergy. 2009;39(1):43-61. doi:10.1111/j.1365-2222.2008.03155.x
4. Koç E, Atılgan Şengül Y, Uyar Özkaya A, Gökçe B. Klinik Karar Destek Sistemleri Kullanımına Yönelik Bir Araştırma: Acıbadem Hastanesi Örneği. ıx Ulus Tıp Bilişim Kongresi. 2012:64-74.
5. Forni A, Chu H, Fanikos J. Technology Utilization to Prevent Medication Errors. Curr Drug Saf. 2009;5:13-18. doi:10.2174/157488610789869193
6. Lu CY, Roughead E. Determinants of patient‐reported medication errors: a comparison among seven countries. Clin Pract. 2011;(16):733-740. doi:https://doi.org/10.1111/j.1742-1241.2011.02671.x
7. P. E. Grönroos, K. M. Irjala, R. K. Huupponen, H. Scheinin, J. Forsström and JJF. A medication database - A tool for detecting drug interactions in hospital. Eur J Clin Pharmacol. 1997;53(1):13–17.
8. Andersson ML, Böttiger Y, Lindh JD, Wettermark B, Eiermann B. Impact of the drug-drug interaction database SFINX on prevalence of potentially serious drug-drug interactions in primary health care. Eur J Clin Pharmacol. 2013;69, no. 3,:565–571.
9. Poon EG, Keohane CA, Yoon CS, et al. Effect of bar-code technology on the safety of medication administration. Obstet Gynecol Surv. 2010;65(10):629-630. doi:10.1097/OGX.0b013e3182021fe9
10. Delgado Silveira E, Soler Vigil M, Pérez Menéndez-Conde C, Delgado Téllez de Cepeda L, Bermejo Viñedo T. Prescription errors after the implementation of an electronic prescribing system. Farm Hosp. 2007;31(4):223-230. doi:10.1016/S1130-6343(07)75378-3
11. Çelik N, Şanlıer N. Besin-İlaç Etki̇leşi̇mleri̇ne Güncel Bakış: İçecekler. ERÜ Sağlık Bilim Fakültesi Derg. 2014;2(1):94-101.
12. Bayraktar Ekincioğlu A. Besin ve Besin Ögesi ile İlaç Etkileşimleri. Beslenme ve Diyet Derg. 2015;42(2):154-159.
13. Öztürk E, Köse İ, Elmas Ö. Effect of Closed Loop Medication Administration on Drug Returns in Inpatient Facilities. Med Res Arch. 2020;8(12).
14. Boullata JI, Hudson LM. Drug-Nutrient Interactions: A Broad View with Implications for Practice. J Acad Nutr Diet. 2012;112(4):506-517. doi:10.1016/j.jada.2011.09.002
15. Çetin F. Bağışıklık Sistemi Desteklerinin Besin-İlaç Etkileşimi. İstanbul Sabahattin Zaim Üniversitesi Fen Bilim Enstitüsü Derg. 2020;2 (1):14-19. https://dergipark.org.tr/tr/pub/izufbed.
16. Ede, G, Unal RN. Physiological and Pharmacokinetic Alterations and Drug-Nutrient Interactions During Pregnancy. Istanbul Med J. 2017;18(3):120-127. doi:10.5152/imj.2017.04875
17. Alphan E, Baş M, Baysal A, Merdol TK, G. K, Pekcan G. Hastalıklarda Beslenme Tedavisi.; 2013.
18. Leape LL, Brennan TA, Laird N, et al. The nature of adverse events in hospitalized patients Results of the Harvard Medical Practice Study II. N Engl J Med. 1991:7;324(6):377-84. doi:doi: 10.1056/NEJM199102073240605.
19. Aktay G, Hancı H, Balseven A. İlaç Etkileşimleri ve Hekim Sorumluluğu. TBB Sürekli Tıp Derg. 2003;cilt 12 sa:264. xx.
20. Khuda F, Ovais M, Khan A, et al. Drug-food interactions of commonly available juices of Pakistan. Pak J Pharm Sci. 2019;32(5):2189-2196.
21. Atik ND, Taşçı A, Orakçı ME, Eyüpoğlu M, Evginer S. Türkiye Diyetisyenler Derneği Üyelerinin Çalışma Ortamlarındaki İş Sağlığı ve Güvenliği Koşulları. 2016;44(1):18-23.
22. Vadamecum.
23. UptoDate. 2020. https://www.uptodate.com/home.
24. Qliktech. Qlikview. https://www.bitechnology.com/. Published 2020.
25. Garg AX, Adhikari NKJ, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: A systematic review. J Am Med Assoc. 2005;293(10):1223-1238. doi:10.1001/jama.293.10.1223
26. Čufar A, Droljc A, Orel A. Electronic medication ordering with integrated drug database and clinical decision support system. Stud Health Technol Inform. 2012;180(September):693-697. doi:10.3233/978-1-61499-101-4-693
27. Özgür F, Onan Ö. Greyfurt’un İlaçlar ile etkileşimi. Bilkent Üniversitesi. http://bilheal.bilkent.edu.tr/aykonu/greyfurt.htm.
28. Kurtoglu Celik G, Pamukcu Gunaydın G, Ozgur Dogan N, Mahmut Dellul M, Sahin Kavaklı H. Pomegranate Juice and Warfarin Interaction: A Case Report. J Acad Emerg Med Case Reports. 2014;(1):66-68. doi:10.5152/jaemcr.2014.33255
29. Lasswell AB, DeForge BR, Sobal J, Muncie HL, Michocki. Family medicine residents' knowledge and attitudes about drug-nutrient interactions. 1995.:137-143. doi:https://doi.org/10.1080/07315724.1995.10718485