| Literature DB >> 35089582 |
Renly Lim1, Lisa M Kalisch Ellett2, Susan Semple2, Elizabeth E Roughead2.
Abstract
INTRODUCTION: Medication-related problems often lead to patient harm. This paper aims to review the Australian literature to determine the overall incidence, severity and preventability of medication-related hospital admissions, as well as providing a national estimate on their extent and cost.Entities:
Mesh:
Year: 2022 PMID: 35089582 PMCID: PMC8933367 DOI: 10.1007/s40264-021-01144-1
Source DB: PubMed Journal: Drug Saf ISSN: 0114-5916 Impact factor: 5.606
Fig. 1Percentage of medication-related hospital admissions in Australia as assessed using medication chart review (created by the authors)
Incidence of medication-related hospital admissions in Australia assessed using chart review (created by the authors)
| Total admissions reviewed | Total medicine related | Type of medicine-related admission | ||||
|---|---|---|---|---|---|---|
| Adverse medicine reaction | Non-compliance | Overdose | Other | |||
| All hospital admissions assessed | ||||||
| Gleeson, 1988 [ | 947 | 34 (3.6%) | 34 (3.6%) | N/A | N/A | N/A |
| Larmour et al. 1991 [ | 5623 | 136 (2.4%) | 90 (1.6%) | 5 (0.09%) | 40 (0.7%) | 1 (0.02%) |
| Admissions via Emergency Department assessed | ||||||
| Galbraith 1993 [ | 751 | 48 (6.4%) | N/A | N/A | 7 (0.9%) | N/A |
| Dartnell et al. 1996 [ | 965 | 68 (7%) | 26 (2.7%) | 15 (1.6%) | 13 (1.3%) | 14 (1.5%) |
| Phillips et al. 2014 [ | 370 | 59 (16%) | N/A | N/A | N/A | N/A |
| Li et al. 2021 [ | 5521 | 496 (9%) | 496 (9%) | N/A | N/A | N/A |
| Admissions to Medical Wards assessed | ||||||
| Stanton et al. 1994 [ | 691 | 81 (11.7%) | 21* (3%) | 10* (1.4%) | 26* (3.8%) | 11* (1.6%) |
| Sarkawi and Daud 1995 [ | 419 | 49 (11.7%) | 21 (5%) | 12 (2.9%) | 14 (3.3%) | 2 (0.5%) |
| Leishman and Vial 1998 [ | 217 | 33 (15.2%) | 10 (4.6%) | 8 (3.7%) | 11 (5.1%) | 4 (1.8%) |
| Geriatric admissions via emergency departments assessed | ||||||
| Wong et al. 1993 [ | 541 | 81 (15%) | 61 (11.3%) | 19 (3.5%) | 1 (0.2%) | N/A |
| Atkin et al. 1994 [ | 217 | 48 (22.1%) | 41 (18.9%) | 5 (2.3%) | 1 (0.5%) | 1 (0.5%) |
| Ng 1996 [ | 172 | 31 (18%) | 18 (10.5%) | 5 (2.9%) | 1 (0.6%) | 7 (4.1%) |
| Harding 1998 [ | 16 | 6 (37.5%) | 4 (25.0%) | 1 (6.25%) | 0 | 1 (6.25%) |
| Chan et al. 2001 [ | 240 | 73 (30.4%) | 32 (13.3%) | 9 (3.8%) | 1 (0.42%) | 31 (12.9%) |
| Parameswaran Nair et al. 2017 [ | 1008 | 191 (18.9%) | 191 (18.9%) | N/A | N/A | N/A |
| Paediatric admissions assessed—medical only excluding oncology | ||||||
| Easton et al. 1998 [ | 1682 | 58 (3.4%) | 10 (0.6%) | 29 (1.7%) | 10 (0.6%) | 9 (0.5%) |
| Easton et al. 2004 [ | 2933 | 127 (4.3%) | 29 (1.0%) | 38 (1.3%) | N/A | N/A |
N/A Not available
Total does not add up to 81 because study authors excluded 13 “possible” medication-related admissions from the analysis
Incidence of medication-related hospital admissions assessed using International Classification of Diseases (ICD) coding (created by the authors)
| Study | Proportion under-reported | |||
|---|---|---|---|---|
| Roughead et al. 1998 [ | 952 | 15 (1.6%) | 73% | NR |
| Roughead et al. 1998 [ | 172 | 4 (2.3%) | 87% | NR |
| Carroll et al.b 2003 [ | 50,712 | 643 (1.3%) | NR | 1389 (2.7%) |
| Hodgkinson et al. 2009 [ | 12,414 | 157 (1.3%) | NR | 412 (3.3%) |
| Hauck and Zhaob 2011 [ | 206,489 | NR | NR | (3.4%)c |
| Claydon-Platt et al.b 2012 [ | 9530 | 158 (1.7%) | NR | 686 (7.2%) |
| Du et al.b 2017 [ | 493,442 | NR | NR | 11,082 (2.2%) |
| Parameswaran Nair et al. 2018 > 65 years [ | 768 | 21 (2.7%) | 82% | 50 (6.5%) |
| Mullan et al.b 2019 [ | 228,165 | 10,555 (4.6%) | NR | NR |
N/A Not available
aThis paper included data from two sources
bLimited to hospital records coding; no independent chart review
cActual number not available; percentage based on predicted rate for 2-day hospital stay
Severity of adverse medicine events associated with hospitalisation or admissions due to medication-related problems (created by the authors)
| Study | Type of admission | Total number of medicine-related problems or admissions | Severity | Method used to assess severity | Definition of severity |
|---|---|---|---|---|---|
| Phillips et al. 2014 [ | Emergency admissions | 72 | Moderate: 65.3% Severe: 34.7% | Modified Pearson classification | Moderate: adverse medicine event was the major contributor to hospital admission, with or without requiring a change in therapy or specific treatment Severe: life threatening, caused permanent damage or required intensive care |
| Easton et al. 1998 [ | Paediatric admissions | 58 | A: 36.2% B: 27.6% C: 36.2% D: 0% | Criteria developed by study authors | A: admitted up to 24 h B: admitted for 24–48 h C: admitted for > 48 h and/or requires admission to the intensive care unit D: permanent harm or death |
| Easton et al. 2004 [ | Paediatric admissions | 127 | A: 49.6% B: 21.3% C: 29.1% D: 0% | Criteria developed by study authors | Same as above—Easton et al., 1998 [ |
| Chan et al. 2001 [ | Geriatric admissions | 73 | Moderate: 84.3% Severe: 15.7% | Modified Pearson classification | Moderate: requiring hospital admission, change in therapy or specific treatment Severe: life-threatening, caused permanent damage or required intensive care |
| Parameswaran Nair et al. 2017 [ | Geriatric admissions | 191 | Moderate: 97.9% Severe: 2.1% | Hartwig scale | Moderate: require hospital admission, change in therapy or specific treatment Severe: life-threatening, caused permanent damage or required intensive care |
Preventability of adverse medicine events associated with hospitalisation or admissions due to medication-related problems (created by the authors)
| Study | Type of admission | Total number of medicine-related problems or admissions | Percentage considered definitely avoidable | Percentage considered probably or possibly avoidable | Percentage considered probably not or definitely unavoidable |
|---|---|---|---|---|---|
| Dartnell et al. 1996 [ | Emergency admissions | 55a | 5% | 60% | 35% |
| Phillips et al. 2014 [ | Emergency admissions | 72 | 54.2% | 11.1% | 34.7% |
| Li et al. 2021 [ | Emergency admissions | 496 | 28.8% | 32.1% | 39.1% |
| Sarkawi and Daud 1995 [ | Medical admissions | 35a | 23% | 46% | 31% |
| Easton et al. 1998 [ | Paediatric admissions | 48a | N/A | 67%b | 29%b |
| Easton et al. 2004 [ | Paediatric admissions | 81 | 46.9%b | N/A | 30.9%b |
| Ng 1996 [ | Geriatric admissions | 31 | 3% | 29% | 68% |
| Chan et al. 2001 [ | Geriatric admissions | 73 | 53.4% | 23.3% | 23.3% |
| Parameswaran Nair et al. 2017 [ | Geriatric admissions | 328 | 87.2%b | N/A | |
N/A not available
aOverdose excluded
bPercentage does not add up to 100% because authors either did not explicitly state that the remaining cases were not preventable or the authors stated they were unable to determine preventability for some cases
| Medication-related problems often lead to patient harm, yet many of these harms, including hospital admissions due to the medications, are preventable. |
| We estimated that 250,000 hospital admissions in Australia are medication related, with an annual cost of 1.4 billion Australian dollars to the healthcare system. |
| Two-thirds of medication-related hospital admissions are potentially preventable. |