Table 1.
Authors | Settings | Study period | Sample size | Study design | Risk factors identified | NHMRC Level of evidencea | MMAT Scoring b |
---|---|---|---|---|---|---|---|
Ab Fatah et al, 201744 | Teaching hospital, Malaysia |
7 weeks | 144 | Case-control | Female sex, currently taking medication, comorbidity, a history of drug allergy and recent hospital admission | III-3 | 4 |
Salvi et al., 201717 | Geriatric hospital, Italy |
6 months | 4042 | Observational cohort study | Polypharmacy | IV | 5 |
Chen et al., 201518 | General Hospital, Taiwan |
12 months | 452 | Prospective cohort study | Older population ⩾65 years | II | 5 |
De Pepe et al., 201319 | University hospital, Belgium |
3 weeks | 87 | Prospective cohort study | Number of medications and age | II | 3 |
Perrone et al., 201420 | 16 General hospitals, Italy |
24 months | 8862 | Retrospective cohort study | Older age, Yellow and Red triage, number of medications, previous ED visit for the same ADE | III-2 | 3 |
Chen et al., 201421 | Tertiary medical center, Taiwan |
12 months | 20,628 | Case-control | Number of medications and increased serum creatinine. | III-3 | 4 |
Asseray et al., 201322 | 11 French academic hospitals, France |
8-week period | 3027 | Prospective observational study | Age, gender, use of nervous system drugs, polypharmacy | II | 4 |
Roulet et al., 201323 | Tertiary care hospital, France |
2 months | 433 | Cross sectional | Involuntary intoxication, hospitalized patients, poly-pathological condition, endocrine pathology and daily prescription of CVS drugs | IV | 5 |
Pedros et al., 201351 | Tertiary medical center, Spain |
120 days | 4098 | Cross sectional | Old age and number of medications | IV | 4 |
Nickel et al., 201324 | University hospital, Basel, Switzerland |
24 months | 633 | Cross-sectional | Comorbidities and number of medications | IV | 4 |
Castro et al., 2013 52 | University hospital, Barcelona, Spain |
3 months | 652 | Cross-sectional study | Number of medications taken | IV | 3 |
Heaton et al., 201225 | NHAMCS, US |
3 years | 456,209 | Retrospective cohort study | Mental illness, type II diabetes, nondependent abuse of drug and essential hypertension | III-2 | 4 |
Jayarama et al., 201226 | Tertiary hospital, Kola, India |
12 months | 133 | Prospective observational studies | Comorbidity, multiple prescribers, visiting many pharmacies and number of medications | II | 3 |
Chen et al., 201275 | Academic hospital, Taiwan |
12 months | 452 | Prospective cohort study | Elderly age, severity of ADE, higher Charlson comorbidity index scores | II | 4 |
Wu et al., 201227 | Ontario, Canada | 5 years | Retrospective cohort study | Female gender, old age, comorbidity, Number of medications, newly prescribed drugs, recent ED visit, multiple-pharmacies, recent -admission, and long-term care | III-2 | 4 | |
Marcum et al., 201253 | 152 Veterans Affairs Medical Centers US |
NR | 778 | Retrospective cohort study | Polypharmacy | III-2 | 4 |
Hohl et al., 20118 | 2 Tertiary hospitals. Vancouver, Canada |
6 months | 1591 | Prospective observational studies | Comorbidity, antibiotic use within 7 days, medication changes within 28 days, age 80 years, arrival by ambulance, triage acuity, recent hospital admission, renal failure, and use of three or more prescription medications | II | 5 |
Harduar-Morano, et al., 201128 |
Florida AHCA | NR | 3024 | Retrospective cohort study | Old age, white patients, and female gender | III-2 | 3 |
Vila-de-Muga et al, 201129 | Academic tertiary care children’s hospital | 1 week | 1906 | Retrospective cohort study | ED shift on weekends, holidays and between 0000 and 0800 hours | III-2 | 3 |
Perron et al., 201130 | NESARC, US |
NR | 43,093 | Retrospective cohort study of survey database | Heroine, inhalant and marijuana dependence. Pyschopathological factors: personality and mood disorder, socially connected has a protective factor | III-2 | 3 |
Budnitz et al., 201131 | NEISS-CADES US |
2 years | 177,504 | Retrospective cohort study | Drugs with narrow therapeutic index; digoxin, insulin and warfarin | III-2 | 4 |
Braden et al., 200232 | HealthCore and Arkansas Medicaid, US |
NR | 48,650 | Retrospective cohort study | Use of short acting Drug Enforcement Agency Schedule II opioids | III-2 | 3 |
Sikdar et al., 201133 | Two tertiary hospitals, Canada |
12 months | 1458 | Retrospective chart review | Comorbidities and number of medications. | III-2 | 5 |
Ramos et al., 201034 | University hospital, Spain |
3 months | 888 | Cross sectional study | Number of drugs, female gender and health practice index | IV | 4 |
Maria et al., 201035 | 3 hospitals, Italy |
3 years | 2644 | Cross-sectional | Comorbidity, multiple drug regimens | IV | 3 |
Backmund et al., 200936 | Tertiary care hospital, Germany |
NR | 1049 | Retrospective cohort study | Not living with a significant other, drug user, history of suicide attempt, daily use of barbiturates and cannabis | III-2 | 4 |
Olivier et al., 200937 | University Hospital Toulouse, France |
4 nonconsecutive weeks | 789 | Prospective cohort study | Number of medications taken, self-medication, use of antithrombotic and antibacterial drugs | II | 4 |
Capuano et al., 200938 | 10 general hospitals in Regione Campania, Italy |
10 days/ED in two study period | 7861 | Prospective cohort and nested case control study | Female gender and age category (30–39 and 60–69), patients taking RAS, NSAIDS, antibiotics, β-adrenoceptors agonist and β-lactam antibiotics | II | 5 |
Zed et al., 200812 | General hospital, Vancouver Canada |
12 weeks | 1017 | Prospective observational study | Comorbidities, number of medications and multiple prescribers | II | 5 |
Sauer et al., 200739 | Administrative data, Florida, US |
24 months | 37,063 | Retrospective cohort study | Age, male sex, number of medical conditions, and number of medications | III-2 | 2 |
Baena et al., 200640 | University hospital, Granada, Spain |
12 months | 2261 | Two-stage probabilistic sampling | Age, number of medications, and combined effect of the two | III-3 | 4 |
Tipping et al., 200641 | Tertiary hospital, Cape Town, South Africa |
4 months | 517 | Cross-sectional | Number of medications, patients taking NSAIDS, ACE- inhibitor, and warfarin | IV | 3 |
Budnitz et al., 200676 | 9 NEISS, US | 77 days | 598 | Retrospective cohort study | Use of warfarin and insulin | II-2 | 5 |
Trifiro et al., 200545 | 22 hospitals, Italy |
10 days at intervals of 3 months | 629 | Prospective cohort study | Older age, male gender | II | 4 |
Caterino et al., 200477 | EDs of uninstitutionalised general hospital, US |
NR | 16.1 million | Retrospective cohort study | Number of medications at ED | III-2 | 4 |
Franceschi, et al., 200478 | University hospital, Italy |
10 days | 607 | Cross-sectional | Age and number of medications consumed | IV | 3 |
Hafner et al., 200242 | Teaching hospital, US |
3 months | 13,004 | Case control | Old age, female gender, and polypharmacy | III-3 | 3 |
Malhotra et al., 20119 | Referral hospital, India |
7 months | 578 | Cross-sectional | Diabetes, patient living alone, poor recall of medication regimen, seeing multiple physicians, female gender, polypharmacy |
IV | 3 |
ADE: adverse drug event; ED: emergency department; NHAMCS: National Hospital Ambulatory Medical Care Survey; NESARC: National Epidemiology Survey on Alcohol and Related Conditions; NEISS-CADES: National Electronic Injury Surveillance System–Cooperative Adverse Drug Event Surveillance project; CVS: cardiovascular system; AHCA: Agency for Health Care Administration; RAS: renin-angiotensin system; NSAIDS: nonsteroidal anti-inflammatory drugs; ACE: angiotensin-converting-enzyme; NEISS: National Electronic Injury Surveillance System; US United States; NR: not reported.
National Health and Medical Research Council level of evidence.
Mixed Methods Appraisal Tool score.