Intercepting the Iatrogenic Cascade: A Narrative Review of Feedback Loops, Diagnostic Inflation, and System-Level Interventions in Polypharmacy Management

Haitham Yahya Saeed Alzubaidi (1) , Ahmed Ali Abdu Wafi (2) , Turki Theeb M Alotaibi (3) , Saleh Alenazi (4) , Fahad Mohammed Saud Alshammari (5) , Naif Halfan Awaad Alasmari (6) , Majed Sanat Sanhat Alotaibi (7) , Abdullah Ibrahim Hassan Al Name (8) , Zainab Mohammad Alotaibi (9) , Yasmeen Jaffar Abdualkareem Almanassif (10) , Aziza Fahad Awad Aldhaferri (11) , Wejdan Saleh Manah (12)
(1) Eradah And Mental Health, Complex In Tabuk,Ministry of Health, Saudi Arabia,
(2) Prince Mohammad Bin Nasser Hospital In Jazan, Ministry of Health, Saudi Arabia,
(3) Ministry Of Health, Saudi Arabia,
(4) Al Yamamah Hospital, Riyadh,Ministry of Health, Saudi Arabia,
(5) King Khalid Hospital Almajmah,Ministry of Health, Saudi Arabia,
(6) King Abdullah Medical Complex (Kamcj) Jeddah (Second Settlement),Ministry of Health, Saudi Arabia,
(7) Kabchan Health Center,Ministry of Health, Saudi Arabia,
(8) Erada Mental Health Hospital In Jazan,Ministry of Health, Saudi Arabia,
(9) Women And Child Health Clinic In Qasr Mall, Riyadh,Ministry of Health, Saudi Arabia,
(10) Dammam Medical Complex DMC,Ministry of Health, Saudi Arabia,
(11) King Khalid Hafr Al-Batin Hospital, Hafr Al-Batin Health Cluster,Ministry of Health, Saudi Arabia,
(12) Primary Health Care Centrs, Alkhobar , Eastern Health Cluster, Ministry Of Health , Saudi Arabia

Abstract

Background: Polypharmacy, a cornerstone of modern chronic disease management, paradoxically fuels a self-perpetuating cycle of patient harm and diagnostic excess. The prescribing of multiple medications by primary care and pharmacy teams often initiates a cascade where adverse drug effects manifest as new laboratory abnormalities or clinical symptoms. These iatrogenic signals are misinterpreted as de novo disease, prompting further imaging and specialist referrals, thereby increasing system burden and patient risk. Aim: This narrative systematic review investigates the complex feedback loops linking polypharmacy to diagnostic inflation and evaluates the efficacy of system-level interventions designed by health administration to intercept this cascade. Methods: A systematic search of PubMed, EMBASE, CINAHL, and Web of Science (2010-2024) was conducted. The review analyzes interdisciplinary workflows involving family medicine, pharmacy, clinical laboratory, radiology, and specialist services. Results: The evidence identifies a clear "prescribe-interpret-react" cycle, where drug-induced renal impairment or hyponatremia commonly triggers unnecessary renal ultrasonography and endocrinology consults. Integrated interventions, particularly pharmacist-led medication therapy management (MTM) embedded in primary care and clinical decision support systems (CDSS) that link lab trends to medication lists, significantly reduce inappropriate testing and adverse drug events. Effective administrative models are characterized by shared electronic health record (EHR) dashboards, protected pharmacist time for comprehensive review, and formalized deprescribing protocols. Conclusion: Fragmented care systems amplify polypharmacy-related harm. Proactive, system-redesign strategies that enhance information synthesis and interdisciplinary accountability are critical to breaking the cascade, improving patient safety, and containing low-value care. 

Full text article

Generated from XML file

References

Abukhalil, A. D., Ali, O., Saad, A., Falana, H., Al-Shami, N. M., Naseef, H. A., & Rabba, A. (2023). Evaluation of proton pump inhibitors prescribing among hospitalized patients: a cross-sectional study. International Journal of General Medicine, 141-150. https://doi.org/10.2147/IJGM.S396202

Baysari, M. T., Duong, M. H., Hooper, P., Stockey-Bridge, M., Awad, S., Zheng, W. Y., & Hilmer, S. N. (2021). Supporting deprescribing in hospitalised patients: formative usability testing of a computerised decision support tool. BMC Medical Informatics and Decision Making, 21(1), 116. https://doi.org/10.1186/s12911-021-01484-z

Bersani, K., Fuller, T. E., Garabedian, P., Espares, J., Mlaver, E., Businger, A., ... & Schnipper, J. L. (2020). Use, perceived usability, and barriers to implementation of a patient safety dashboard integrated within a vendor EHR. Applied clinical informatics, 11(01), 034-045. DOI: 10.1055/s-0039-3402756

Chalasani, N. P., Maddur, H., Russo, M. W., Wong, R. J., Reddy, K. R., & Practice Parameters Committee of the American College of Gastroenterology. (2021). ACG clinical guideline: diagnosis and management of idiosyncratic drug-induced liver injury. Official journal of the American College of Gastroenterology| ACG, 116(5), 878-898. DOI: 10.14309/ajg.0000000000001259

Croke, A., Cardwell, K., Clyne, B., Moriarty, F., McCullagh, L., & Smith, S. M. (2023). The effectiveness and cost of integrating pharmacists within general practice to optimize prescribing and health outcomes in primary care patients with polypharmacy: a systematic review. BMC primary care, 24(1), 41. https://doi.org/10.1186/s12875-022-01952-z

Fabbri, C., Souery, D., Calati, R., Crisafulli, C., Chierchia, A., Albani, D., ... & Serretti, A. (2015). Genetics of psychotropic medication induced side effects in two independent samples of bipolar patients. Journal of Neural Transmission, 122(1), 43-58. https://doi.org/10.1007/s00702-014-1290-3

Frament, J., Hall, R. K., & Manley, H. J. (2020). Medication reconciliation: the foundation of medication safety for patients requiring dialysis. American Journal of Kidney Diseases, 76(6), 868-876. https://doi.org/10.1053/j.ajkd.2020.07.021

Gallagher, P. F., O'connor, M. N., & O'mahony, D. (2011). Prevention of potentially inappropriate prescribing for elderly patients: a randomized controlled trial using STOPP/START criteria. Clinical Pharmacology & Therapeutics, 89(6), 845-854. https://doi.org/10.1038/clpt.2011.44

Hong, A. S., Levin, D., Parker, L., Rao, V. M., Ross-Degnan, D., & Wharam, J. F. (2020). Trends in diagnostic imaging utilization among Medicare and commercially insured adults from 2003 through 2016. Radiology, 294(2), 342-350. https://doi.org/10.1148/radiol.2019191116

Konishi, H., Shirakawa, J., Arai, M., & Terauchi, Y. (2019). Drug-induced hyperglycemia in the Japanese Adverse Drug Event Report database: association of evelolimus use with diabetes. Endocrine Journal, 66(6), 571-574. https://doi.org/10.1507/endocrj.EJ18-0553

Lainer, M., Vögele, A., Wensing, M., & Sönnichsen, A. (2015). Improving medication safety in primary care. A review and consensus procedure by the LINNEAUS collaboration on patient safety in primary care. European Journal of General Practice, 21(sup1), 14-18. https://doi.org/10.3109/13814788.2015.1043124

Lin, Z., Wong, L. Y., & Cheung, B. M. (2022). Diuretic-induced hypokalaemia: an updated review. Postgraduate Medical Journal, 98(1160), 477-482. https://doi.org/10.1136/postgradmedj-2020-139701

Linsky, A. M., Kressin, N. R., Stolzmann, K., Pendergast, J., Rosen, A. K., Bokhour, B. G., & Simon, S. R. (2022). Direct-to-consumer strategies to promote deprescribing in primary care: a pilot study. BMC Primary Care, 23(1), 53. https://doi.org/10.1186/s12875-022-01655-5

Mangin, D., Bahat, G., Golomb, B. A., Mallery, L. H., Moorhouse, P., Onder, G., ... & Garfinkel, D. (2018). International Group for Reducing Inappropriate Medication Use & Polypharmacy (IGRIMUP): position statement and 10 recommendations for action. Drugs & aging, 35(7), 575-587. https://doi.org/10.1007/s40266-018-0554-2

McDonald, E. G., Lundby, C., Thompson, W., Boyd, C., Farrell, B., Gagnon, C., ... & Reeve, E. (2024). Reducing potentially inappropriate polypharmacy at a national and international level: the impact of deprescribing networks. Expert review of clinical pharmacology, 17(5-6), 433-440. https://doi.org/10.1080/17512433.2024.2355270

Mekonnen, A. B., McLachlan, A. J., & Jo-anne, E. B. (2016). Effectiveness of pharmacist-led medication reconciliation programmes on clinical outcomes at hospital transitions: a systematic review and meta-analysis. BMJ open, 6(2), e010003. https://doi.org/10.1136/bmjopen-2015-010003

Moges, T. A., Akalu, T. Y., & Sema, F. D. (2022). Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation. BMC Health Services Research, 22(1), 1251. https://doi.org/10.1186/s12913-022-08628-5

Nguyen, K., Subramanya, V., & Kulshreshtha, A. (2023). Risk factors associated with polypharmacy and potentially inappropriate medication use in ambulatory care among the elderly in the United States: a cross-sectional study. Drugs-real world outcomes, 10(3), 357-362. https://doi.org/10.1007/s40801-023-00358-2

Stone, R., Oganesyan, A., Marco, N., Smith, R., & Hoffman, J. (2022). The Impact of a pharmacist-led hypertension medication management program on older people in a skilled nursing facility. The Senior care pharmacist, 37(2), 62-72. https://doi.org/10.4140/TCP.n.2022.62

Taber, D. J., Milfred-LaForest, S., Rife, K., Felkner, R., Cooney, D., Super, N., ... & Buchanan, C. (2023). A randomized control trial testing a medication safety dashboard in veteran transplant recipients. Progress in Transplantation, 33(2), 121-129. https://doi.org/10.1177/15269248231164177

Toivo, T. M., Mikkola, J. A. V., Laine, K., & Airaksinen, M. (2016). Identifying high risk medications causing potential drug–drug interactions in outpatients: a prescription database study based on an online surveillance system. Research in Social and Administrative Pharmacy, 12(4), 559-568. https://doi.org/10.1016/j.sapharm.2015.09.004

Trinkley, K. E., Pell, J. M., Martinez, D. D., Maude, N. R., Hale, G., & Rosenberg, M. A. (2021). Assessing prescriber behavior with a clinical decision support tool to prevent drug-induced long QT syndrome. Applied clinical informatics, 12(01), 190-197. DOI: 10.1055/s-0041-1724043

Vaiman, E. E., Shnayder, N. A., Khasanova, A. K., Strelnik, A. I., Gayduk, A. J., Al-Zamil, M., ... & Nasyrova, R. F. (2022). Pathophysiological mechanisms of antipsychotic-induced parkinsonism. Biomedicines, 10(8), 2010. https://doi.org/10.3390/biomedicines10082010

Varas-Doval, R., Gastelurrutia, M. A., Benrimoj, S. I., García-Cárdenas, V., Sáez-Benito, L., & Martinez-Martínez, F. (2020). Clinical impact of a pharmacist-led medication review with follow up for aged polypharmacy patients: A cluster randomized controlled trial. Pharmacy Practice (Granada), 18(4). https://dx.doi.org/10.18549/pharmpract.2020.4.2133

Vasilevskis, E. E., Shah, A. S., Hollingsworth, E. K., Shotwell, M. S., Mixon, A. S., Bell, S. P., ... & Shed-MEDS Team Bartoo Carole Kim Jennifer Lewallen Kanah Narramore Whitney Parker Robin Lincoln Susan Gupta Joanna. (2019). A patient-centered deprescribing intervention for hospitalized older patients with polypharmacy: rationale and design of the Shed-MEDS randomized controlled trial. BMC health services research, 19(1), 165. https://doi.org/10.1186/s12913-019-3995-3

Walraven, B., Ponjee, G., Heideman, W., & Çarkit, F. K. (2020). Medication reviews in hospitalized patients: a qualitative study on perceptions of primary and secondary care providers on interprofessional collaboration. BMC Health Services Research, 20(1), 902. https://doi.org/10.1186/s12913-020-05744-y

Wan, P. K., Satybaldy, A., Huang, L., Holtskog, H., & Nowostawski, M. (2020). Reducing alert fatigue by sharing low-level alerts with patients and enhancing collaborative decision making using blockchain technology: scoping review and proposed framework (MedAlert). Journal of medical Internet research, 22(10), e22013. https://doi.org/10.2196/22013

Weir, K. R., Ailabouni, N. J., Schneider, C. R., Hilmer, S. N., & Reeve, E. (2022). Consumer attitudes towards deprescribing: a systematic review and meta-analysis. The Journals of Gerontology: Series A, 77(5), 1020-1034. https://doi.org/10.1093/gerona/glab222

Williams, V. L., Smithburger, P. L., Imhoff, A. N., Groetzinger, L. M., Culley, C. M., Burke, C. X., ... & Kane-Gill, S. L. (2023). Interventions, barriers, and proposed solutions associated with the implementation of a protocol that uses clinical decision support and a stress biomarker test to identify ICU patients at high-risk for drug associated acute kidney injury. Annals of Pharmacotherapy, 57(4), 408-415. https://doi.org/10.1177/10600280221117993

Wright, S., Bardolia, C., Bankes, D., Amin, N. S., & Turgeon, J. (2020). Angiotensin converting enzyme (ACE) inhibitor-induced cough resulting in prescribing cascade. Clin Case Rep J, 10, 1368. DOI: 10.37421/jccr.2020.10.1368

Yon, K., Sinclair, J., Bentley, O. S., Abubakar, A., Rhodes, L. A., & Marciniak, M. W. (2020). Impact of quality measures performed through pharmacist collaboration with a primary care clinic. Journal of the American Pharmacists Association, 60(3), S97-S102. https://doi.org/10.1016/j.japh.2020.01.011

Authors

Haitham Yahya Saeed Alzubaidi
Mr.Haytham88@Gmail.Com (Primary Contact)
Ahmed Ali Abdu Wafi
Turki Theeb M Alotaibi
Saleh Alenazi
Fahad Mohammed Saud Alshammari
Naif Halfan Awaad Alasmari
Majed Sanat Sanhat Alotaibi
Abdullah Ibrahim Hassan Al Name
Zainab Mohammad Alotaibi
Yasmeen Jaffar Abdualkareem Almanassif
Aziza Fahad Awad Aldhaferri
Wejdan Saleh Manah
Alzubaidi, H. Y. S., Ahmed Ali Abdu Wafi, Turki Theeb M Alotaibi, Saleh Alenazi, Fahad Mohammed Saud Alshammari, Naif Halfan Awaad Alasmari, … Wejdan Saleh Manah. (2024). Intercepting the Iatrogenic Cascade: A Narrative Review of Feedback Loops, Diagnostic Inflation, and System-Level Interventions in Polypharmacy Management. Saudi Journal of Medicine and Public Health, 1(2), 1401–1407. https://doi.org/10.64483/202412397

Article Details

Similar Articles

<< < 3 4 5 6 7 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)