Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Discharge summary medication list accuracy across five metropolitan hospitals: a retrospective medical record audit

Paul Wembridge https://orcid.org/0000-0002-4613-902X A * and Saly Rashed https://orcid.org/0000-0002-8010-2087 A
+ Author Affiliations
- Author Affiliations

A Pharmacy Department, Eastern Health, 8 Arnold Street, Box Hill, Vic. 3128, Australia.

Australian Health Review 46(3) 338-345 https://doi.org/10.1071/AH22012
Submitted: 25 January 2022  Accepted: 21 March 2022   Published: 10 May 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of AHHA.

Abstract

Objective To determine the accuracy of discharge summary (DS) medication lists across a broad cross-section of hospital inpatients and to determine what factors may be associated with errors in this document.

Methods A retrospective medical record audit was undertaken at five metropolitan hospitals that utilise an electronic medication management system (eMMS) at the point of discharge. Four hospitals utilised an eMMS for inpatient medication management, with the fifth utilising the paper-based National Inpatient Medication Chart (NIMC). Any inpatients discharged during the first week of February, May, August and November 2020 and February 2021 were included if they received both a DS and either a pharmacy-generated patient-friendly medication list or interim medication administration chart.

Results Eight-hundred and one DSs were included, of which 525 (66%) had one or more medication errors and 220 (27%) had one or more high-risk medication errors. A higher proportion of patients with polypharmacy (five or more medications) had one or more errors compared to patients without polypharmacy (67% vs 54%, P < 0.01). DSs generated from the site with paper NIMCs were less likely to have one or more errors when compared to sites using an inpatient eMMS (58% vs 68%, P < 0.01). Age, sex, language spoken and preparing the DS post-discharge were not associated with differing rates of errors. Of the 2609 individual medication errors (390 high-risk errors), the most common types were ‘omitted drug or dose’ (34%) and ‘unnecessary drug’ (33%).

Conclusion Medication errors in the DS are common and more likely to occur in patients with polypharmacy.

Keywords: communication, communication error, discharge, discharge summary, drug error, medical error, medication error, medication safety, patient safety​, safety.


References

[1]  Australian Commission on Safety and Quality in Health Care. National Safety and Quality Health Service Standards (2nd edn V2). 2021. Available at http://www.safetyandquality.gov.au/wp-content/uploads/2011/09/NSQHS-Standards-Sept-2012.pdf [cited December 2021]

[2]  Hoyer EH, Odonkor CA, Bhatia SN, Leung C, Deutschendorf A, Brotman DJ. Association between days to complete inpatient discharge summaries with all-payer hospital readmissions in Maryland. J Hosp Med 2016; 11 393–400.
Association between days to complete inpatient discharge summaries with all-payer hospital readmissions in Maryland.Crossref | GoogleScholarGoogle Scholar | 26913814PubMed |

[3]  Li JYZ, Yong TY, Hakendorf P, Ben-Tovim D, Thompson CH. Timeliness in discharge summary dissemination is associated with patients’ clinical outcomes. J Eval Clin Pract 2013; 19 76–9.
Timeliness in discharge summary dissemination is associated with patients’ clinical outcomes.Crossref | GoogleScholarGoogle Scholar |

[4]  Alqenae FA, Steinke D, Keers RN. Prevalence and Nature of Medication Errors and Medication-Related Harm Following Discharge from Hospital to Community Settings: A Systematic Review. Drug Saf 2020; 43 517–37.
Prevalence and Nature of Medication Errors and Medication-Related Harm Following Discharge from Hospital to Community Settings: A Systematic Review.Crossref | GoogleScholarGoogle Scholar | 32125666PubMed |

[5]  Graabæk T, Terkildsen BG, Lauritsen KE, Almarsdóttir AB. Frequency of undocumented medication discrepancies in discharge letters after hospitalization of older patients: a clinical record review study. Ther Adv Drug Saf 2019; 10 1–8.
Frequency of undocumented medication discrepancies in discharge letters after hospitalization of older patients: a clinical record review study.Crossref | GoogleScholarGoogle Scholar |

[6]  Unnewehr M, Schaaf B, Marev R, Fitch J, Friederichs H. Optimizing the quality of hospital discharge summaries – a systematic review and practical tools. Postgrad Med 2015; 127 630–9.
Optimizing the quality of hospital discharge summaries – a systematic review and practical tools.Crossref | GoogleScholarGoogle Scholar | 26074128PubMed |

[7]  Elliott RA, Tan Y, Chan V, Richardson B, Tanner F, Dorevitch MI. Pharmacist – Physician Collaboration to Improve the Accuracy of Medication Information in Electronic Medical Discharge Summaries: Effectiveness and Sustainability. Pharmacy 2020; 8 1–15.

[8]  Hesselink G, Schoonhoven L, Barach P, Spijker A, Gademan P, Kalkman C, et al. Improving Patient Handovers From Hospital to Primary Care. Ann Intern Med 2012; 157 417–28.
Improving Patient Handovers From Hospital to Primary Care.Crossref | GoogleScholarGoogle Scholar | 22986379PubMed |

[9]  McMillan TE, Allan W, Black PN. Accuracy of information on medicines in hospital discharge summaries. Intern Med J 2006; 36 221–5.
Accuracy of information on medicines in hospital discharge summaries.Crossref | GoogleScholarGoogle Scholar | 16640738PubMed |

[10]  Tan Y, Elliott RA, Richardson B, Tanner FE, Dorevitch MI. An audit of the accuracy of medication information in electronic medical discharge summaries linked to an electronic prescribing system. Health Inf Manag J 2018; 47 125–31.
An audit of the accuracy of medication information in electronic medical discharge summaries linked to an electronic prescribing system.Crossref | GoogleScholarGoogle Scholar |

[11]  Tong EY, Roman CP, Mitra B, Yip GS, Gibbs H, Newnham HH, et al. Reducing medication errors in hospital discharge summaries: a randomised controlled trial. Med J Aust 2017; 206 36–39.
Reducing medication errors in hospital discharge summaries: a randomised controlled trial.Crossref | GoogleScholarGoogle Scholar | 28076735PubMed |

[12]  Unroe KT, Pfeiffenberger T, Riegelhaupt S, Jastrzembski J, Lokhnygina Y, Colón-Emeric C. Inpatient Medication Reconciliation at Admission and Discharge: A Retrospective Cohort Study of Age and Other Risk Factors for Medication Discrepancies. Am J Geriatr Pharmacother 2010; 8 115–126.
Inpatient Medication Reconciliation at Admission and Discharge: A Retrospective Cohort Study of Age and Other Risk Factors for Medication Discrepancies.Crossref | GoogleScholarGoogle Scholar | 20439061PubMed |

[13]  Australian Government – Australian Digital Health Agency. My Health Record. 2022. Available at https://www.myhealthrecord.gov.au/ [cited February 2022]

[14]  Australian Commission on Safety and Quality in Health Care. National Safety and Quality Health Service Standards: guide for hospitals. 2017. Available at https://www.safetyandquality.gov.au/wp-content/uploads/2017/12/National-Safety-and-Quality-Health-Service-Standards-Guide-for-Hospitals.pdf [cited December 2021]

[15]  Karliner LS, Auerbach A, Nápoles A, Schillinger D, Nickleach D, Pérez-Stable EJ. Language barriers and understanding of hospital discharge instructions. Med Care 2012; 50 283–9.
Language barriers and understanding of hospital discharge instructions.Crossref | GoogleScholarGoogle Scholar | 22411441PubMed |

[16]  Australian Commission on Safety and Quality in Health Care. NIMC User Guide. 2019. Available at https://www.safetyandquality.gov.au/sites/default/files/2019-08/nimc_user_guide_2019.pdf [cited December 2021]

[17]  Australian Commission on Safety and Quality in Health Care. APINCHS classification of high risk medicines. 2021. Available at https://www.safetyandquality.gov.au/our-work/medication-safety/high-risk-medicines/apinchs-classification-high-risk-medicines [cited December 2021]

[18]  Victorian Agency for Health Information. Safety and Surveillance Reporting. 2022. Available at https://vahi.vic.gov.au/ourwork/safety‐and‐surveillance‐reporting [cited April 2022]

[19]  WHO Collaborating Centre for Drug Statistics Methodology. Guideline for AATC classification and DDD assignment 2022. Oslo, Norway; 2021.

[20]  Australian Commission on Safety and Quality in Health Care. Electronic Medication Management Systems – A guide to safe implementation, 3rd edition. 2019. Available at https://www.safetyandquality.gov.au/sites/default/files/2019-08/sq19-030_emms_functional_requirements_acc_01n_5_aug_2019.pdf [cited February 2022]

[21]  Baird A, Wembridge P. Discharge Medication Accuracy when utilising the Electronic Medication Reconciliation Function on EMR. In: National Medicines Symposium 2020. Virtual; 2020.

[22]  Coombes ID, Stowasser DA, Mitchell CA, Varghese P. Effect of computerised prescribing on use of antibiotics. Med J Aust 2004; 180 140–1.
Effect of computerised prescribing on use of antibiotics.Crossref | GoogleScholarGoogle Scholar | 14748682PubMed |

[23]  Van de Vreede M, McGrath A, de Clifford J. Review of medication errors that are new or likely to occur more frequently with electronic medication management systems. Aust Health Rev 2019; 43 276–83.
Review of medication errors that are new or likely to occur more frequently with electronic medication management systems.Crossref | GoogleScholarGoogle Scholar | 29754594PubMed |

[24]  Michaelsen M, McCague P, Bradley C, Sahm L. Medication Reconciliation at Discharge from Hospital: A Systematic Review of the Quantitative Literature. Pharmacy 2015; 3 53–71.
Medication Reconciliation at Discharge from Hospital: A Systematic Review of the Quantitative Literature.Crossref | GoogleScholarGoogle Scholar | 28975903PubMed |

[25]  The Society of Hospital Pharmacists of Australia. Fact Sheet - Risk Factors for Medication-Related Problems. 2015. Available at https://www.shpa.org.au/news-advocacy/position-statements-practice-updates-fact-sheets [cited February 2022]

[26]  Poole SG, Kwong E, Mok B, Mulqueeny B, Yi M, Percival MA, et al. Interventions to decrease the incidence of dispensing errors in hospital pharmacy: a systematic review and meta-analysis. J Pharm Pract Res 2021; 51 7–21.
Interventions to decrease the incidence of dispensing errors in hospital pharmacy: a systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[27]  Green CF, Mottram DR, Pirmohamed M, Horner R, Rowe PH. Communication regarding adverse drug reactions between secondary and primary care: a postal questionnaire survey of general practitioners. J Clin Pharm Ther 1999; 24 133–9.
Communication regarding adverse drug reactions between secondary and primary care: a postal questionnaire survey of general practitioners.Crossref | GoogleScholarGoogle Scholar | 10380065PubMed |

[28]  Mekonnen AB, McLachlan AJ, Brien J-AE. Pharmacy-led medication reconciliation programmes at hospital transitions: a systematic review and meta-analysis. J Clin Pharm Ther 2016; 41 128–44.
Pharmacy-led medication reconciliation programmes at hospital transitions: a systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar | 26913812PubMed |