Skip to main content

Advertisement

Log in

Development of a trigger tool for the detection of adverse drug events in Chinese geriatric inpatients using the Delphi method

  • Research Article
  • Published:
International Journal of Clinical Pharmacy Aims and scope Submit manuscript

Abstract

Background The global trigger tool is a method of retrospective medical record review that identifies possible harm in hospitalized patients using “triggers”. Elderly patients with multiple co-morbid illnesses are especially vulnerable to adverse drug events (ADEs) that have high prevalence rates. Objective The purpose of this study was to develop an appropriate trigger tool to detect ADEs in Chinese geriatric inpatients by combining a literature review with the Delphi method. Setting Chinese geriatric inpatients. Methods Two steps were used to develop the trigger tool. First, we conducted a comprehensive literature review for existing ADE triggers (adult or elderly) to form the initial triggers for the Delphi process. Second, a group of clinical experts, including physicians, clinical pharmacists and nurses, was established to score candidate triggers for utility according to the usefulness and feasibility of implementing triggers in clinical practice. Main outcome measures The frequency of the full mark, arithmetic mean and coefficient of variation of each trigger. Results An initial set of 51 triggers was selected by literature review for evaluation. The group of experts was composed of 18 clinical experts: 13 physicians, 4 clinical pharmacists, and 1 nurse. Based on the two-phase Delphi process, 42 triggers in five categories (laboratory index, plasma concentration, antidotes, clinical symptoms and intervention) were retained. Conclusion The 42-trigger tool was developed to identify ADEs in Chinese geriatric inpatients. A pilot study that tests the list of triggers to identify ADEs in Chinese geriatric inpatients is the next step for establishing a specific trigger tool for Chinese geriatric inpatients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Bates DW, Boyle DL, Vander Vliet MB, Schneider J, Leape L. Relationship between medication errors and adverse drug events. J Gen Intern Med. 1995;10(4):199–205.

    Article  CAS  PubMed  Google Scholar 

  2. Institute of Medicine. To err is human: building a safer health system. Washington, DC: National Academy Press; 2000.

    Google Scholar 

  3. Piquette-Miller M, Grant DM. The art and science of personalized medicine. Clin Pharmacol Ther. 2007;81(3):311–5.

    Article  CAS  PubMed  Google Scholar 

  4. Lunshof JE, Pirmohamed M, Gurwitz D. Personalized medicine: decades away? Pharmacogenomics. 2006;7(2):237–41.

    Article  PubMed  Google Scholar 

  5. Hakkarainen KM, Hedna K, Petzold M, Hägg S. Percentage of patients with preventable adverse drug reactions and preventability of adverse drug reactions—a meta-analysis. PLoS ONE. 2012;7:e33236.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Expert Group on Safe Medication Practices. Creation of a better medication safety culture in Europe: Building up safe medication practices. 2006. http://www.coe.int/t/e/social_cohesion/socsp/medication%20safety%20culture%20report%20e.pdf. Accessed 20 Mar 2018.

  7. Naessens JM, Campbell CR, Huddleston JM, Berg BP, Lefante JJ, Williams AR, Culbertson RA. Comparison of hospital adverse events identified by three widely used detection methods. Int J Qual Health Care. 2009;21(4):301–7.

    Article  PubMed  Google Scholar 

  8. Classen DC, Resar R, Griffin F, Federico F, Frankel T, Kimmel N, et al. ‘Global trigger tool’ shows that adverse events in hospitals may be ten times greater than previously measured. Health Aff. 2011;30(4):581–9.

    Article  Google Scholar 

  9. Griffin FA, Resar RK. IHI global trigger tool for measuring adverse events. 2nd ed., IHI innovation series white paper. Cambridge, MA: Institute for Healthcare Improvement; 2009. http://www.ihi.org/resources/Pages/Tools/IntrotoTriggerToolsforIdentifyingAEs.aspx. Accessed 20 Mar 2018.

  10. Landrigan CP, Parry GJ. Temporal trends in rates of patient harm resulting from medical care. N Engl J Med. 2010;364(7):2124–34.

    Article  Google Scholar 

  11. Rutberg H, Borgstedt Risberg M, Sjödahl R, Nordqvist P, Valter L, Nilsson L. Characterisations of adverse events detected in a university hospital: a 4-year study using the global trigger tool method. BMJ Open. 2014;4(5):e004879.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Classen DC, Lloyd RC, Provost L, Griffin FA, Resar R. Development and evaluation of the institute for healthcare improvement global trigger tool. J Patient Saf. 2008;4(3):169–77.

    Article  Google Scholar 

  13. Handler SM, Hanlon JT. Detecting adverse drug events using a nursing home specific trigger tool. Ann Longterm Care. 2010;18(5):17–22.

    PubMed  PubMed Central  Google Scholar 

  14. Chapman SM, Fitzsimons J, Davey N, Lachman P. Prevalence and severity of patient harm in a sample of UK-hospitalised children detected by the paediatric trigger tool. BMJ Open. 2014;4(7):e005066.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Hibbert PD, Hallahan AR, Muething SE, Lachman P, Hooper TD, Wiles LK, et al. CareTrack kids-part 3. Adverse events in children’s healthcare in Australia: study protocol for a retrospective medical record review. BMJ Open. 2015;5(4):e007750.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Hwang JI, Chin HJ. Characteristics associated with the occurrence of adverse events: a retrospective medical record review using the global trigger tool in a fully digitalized tertiary teaching hospital in Korea. J Eval Clin Pract. 2014;20(1):27–35.

    Article  PubMed  Google Scholar 

  17. Carnevali L, Krug B, Amant F, Van Pee D, Gérard V, de Béthune X, Spinewine A. Performance of the adverse drug event trigger tool and the global trigger tool for identifying adverse drug events: experience in a Belgian hospital. Ann Pharmacother. 2013;47(11):1414–9.

    Article  PubMed  CAS  Google Scholar 

  18. Resar RK, Rozich JD. Methodology and rationale for the measurement of harm with trigger tools. Methodology and rationale for the measurement of harm with trigger tools. 2003;12(Suppl 2):ii39–45.

    Google Scholar 

  19. Klopotowska JE, Wierenga PC, Stuijt CC, Arisz L, Dijkgraaf MG, Kuks PF, et al. Adverse drug events in older hospitalized patients: results and reliability of a comprehensive and structured identification strategy. PLoS ONE. 2013;8(8):e71045.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Gurwitz JH, Field TS, Harrold LR, Rothschild J, Debellis K, Seger AC, et al. Incidence and preventability of adverse drug events among older persons in the ambulatory setting. JAMA. 2003;289(9):1107–16.

    Article  PubMed  Google Scholar 

  21. Handler SM, Wright RM. Epidemiology of medication-related adverse events in nursing homes. Am J Geriatr Pharmacother. 2006;4(2):264–72.

    Article  PubMed  Google Scholar 

  22. McLean AJ, Le Couteur DG. Aging biology and geriatric clinical pharmacology. Pharmacol Rev. 2004;56(2):163–84.

    Article  CAS  PubMed  Google Scholar 

  23. Lucado J, Paez K, Elixhauser A. Medication-related adverse outcomes in U.S. hospitals and emergency departments, 2008. In: HCUP statistical brief #109. Rockville, MD: Agency for Healthcare Research and Quality; 2011. https://www.ncbi.nlm.nih.gov/books/NBK54566/pdf/Bookshelf_NBK54566.pdf. Accessed 20 Jan 2019.

  24. Steinman MA, Hanlon JT. Managing medications in clinically complex elders: “There is Got to Be a Happy Medium”. JAMA. 2010;304(14):1592–601.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Spinewine A. Adverse drug reactions in elderly people: the challenge of safer prescribing. BMJ. 2008;336(7650):956–7.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Wang C, Si Q. A study of data statistical processing method of Delphi method and its application. J Inner Mong Univ Finance Econ. 2011;9(4):92–6.

    Google Scholar 

  27. Tan H, Ping W, Yang T, Li S, Liu A, Zhou J, et al. The synthetic evaluation model for analysis of flooding hazards. Eur J Public Health. 2006;17(2):206–10.

    Article  PubMed  Google Scholar 

  28. Cafiso S, Di Graziano A, Pappalardo G. Using the Delphi method to evaluate opinions of public transport managers on bus safety. Saf Sci. 2013;57:254–63.

    Article  Google Scholar 

  29. Brenner S, Detz A, Lopez A, Horton C, Sarkar U. Signal and noise: applying a laboratory trigger tool to identify adverse drug events among primary care patients. BMJ Qual Saf. 2012;21(8):670–5.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Hébert G, Netzer F. Evaluating iatrogenic prescribing: development of an oncology-focused trigger tool. Eur J Cancer. 2015;51(3):427–35.

    Article  PubMed  Google Scholar 

  31. Rozich JD, Haraden CR. Adverse drug event trigger tool: a practical methodology for measuring medication related harm. Qual Saf Health Care. 2003;12(3):194–200.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Marcum ZA, Arbogast KL, Behrens MC, Logsdon MW, Francis SD, Jeffery SM, et al. Utility of an adverse drug event trigger tool in veterans affairs nursing facilities. Consult Pharm. 2013;28(2):99–109.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Franklin BD, Birch S, Schachter M, Barber N. Testing a trigger tool as a method of detecting harm from medication errors in a UK hospital: a pilot study. Int J Pharm Pract. 2010;18(5):305–11.

    Article  PubMed  Google Scholar 

  34. Lau I, Kirkwood A. Measuring adverse drug events on hospital medicine units with the institute for healthcare improvement trigger tool: a chart review. Can J Hosp Pharm. 2014;67(6):423–8.

    PubMed  PubMed Central  Google Scholar 

  35. Seynaeve S, Verbrugghe W. Adverse drug events in intensive care units: a cross-sectional study of prevalence and risk factors. Am J Crit Care. 2011;20(6):e131–40.

    Article  PubMed  Google Scholar 

  36. Rozenfeld S, Giordani F. Adverse drug events in hospital: pilot study with trigger tool. Rev Saude Publica. 2013;47(6):1102–11.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Falconer N, Nand S. Development of an electronic patient prioritization tool for clinical pharmacist interventions. Am J Health Syst Pharm. 2014;71(4):311–20.

    Article  PubMed  Google Scholar 

  38. Chalasani NP, Hayashi PH, Bonkovsky HL, Navarro VJ, Lee WM, Fontana RJ, et al. Practice parameters committee of the American College of Gastroenterology. ACG clinical guideline: the diagnosis and management of idiosyncratic drug-induced liver injury. Am J Gastroenterol. 2014;109(7):950–66.

    Article  PubMed  Google Scholar 

  39. Classen DC, Pestotnik SL, Evans RS, Burke JP. Computerized surveillance of adverse drug events in hospital patients. JAMA. 1991;266(20):2847–51.

    Article  CAS  PubMed  Google Scholar 

  40. Keith MR, Bellanger-McCleery RA, Fuchs JE Jr. Multidisciplinary program for detecting and evaluating adverse drug reactions. Am J Hosp Pharm. 1989;46:1809–12.

    CAS  PubMed  Google Scholar 

  41. Boulkedid R, Abdoul H, Loustau M, Sibony O, Alberti C. Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review. PLoS ONE. 2011;6(6):e20476.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Kaafarani HM, Rosen AK, Nebeker JR, Shimada S, Mull HJ, Rivard PE, et al. Development of trigger tools for surveillance of adverse events in ambulatory surgery. Qual Saf Health Care. 2010;19(5):425–9.

    PubMed  Google Scholar 

  43. Van Teijlingen E, Pitchforth E, Bishop C, Russell E. Delphi method and nominal group technique in family planning and reproductive health research. J Fam Plan Reprod Health Care. 2006;32(4):249–52.

    Article  Google Scholar 

  44. Adaway JE, Keevil BG. Therapeutic drug monitoring and LC–MS/MS. J Chromatogr B. 2012;883–884(4):33–49.

    Article  CAS  Google Scholar 

  45. Barbhaiya RH, Knupp CA, Pittman KA. Effects of age and gender on pharmacokinetics of cefepime. Antimicrob Agents Chemother. 1992;36(6):1181–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Matsui DM. Therapeutic drug monitoring in pregnancy. Ther Drug Monit. 2012;34(5):507–11.

    Article  CAS  PubMed  Google Scholar 

  47. Stuck AE, Kharicha K, Dapp U, Anders J, von Renteln-Kruse W, Meier-Baumgartner HP, et al. The PRO-AGE study: an international randomized controlled study of health risk appraisal for older persons based in general practice. BMC Med Res Methodol. 2007;7:2.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Guerra IC, Ramoscerqueira AT. Risk of repeated hospitalizations in elderly users of an academic health center. Cad Saude Publica. 2007;23(3):585–92.

    Article  PubMed  Google Scholar 

  49. Kennedy BS, Kasl SV, Vaccarino V. Repeated hospitalizations and self-rated health among the elderly: a multivariate failure time analysis. Am J Epidemiol. 2001;153(3):232–41.

    Article  CAS  PubMed  Google Scholar 

  50. Hu Q, Wu B, Zhan M, Jia W, Huang Y, Xu T. Adverse events identified by the global trigger tool at a university hospital: a retrospective medical record review. J Evid Based Med. 2019;12(2):91–7.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank all of the experts for their participation in the modified Delphi processes. The authors also thank the Preventive Medicine Association of Sichuan (2017KJFW01), which approved the planning, execution and analysis as proposed in the grant application.

Funding

The Preventive Medicine Association of Sichuan supported this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ting Xu.

Ethics declarations

Conflicts of interest

The authors have no conflicts of interest to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 34 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, Q., Qin, Z., Zhan, M. et al. Development of a trigger tool for the detection of adverse drug events in Chinese geriatric inpatients using the Delphi method. Int J Clin Pharm 41, 1174–1183 (2019). https://doi.org/10.1007/s11096-019-00871-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11096-019-00871-x

Keywords

Navigation