Medication errors at hospital admission and discharge in Type 1 and 2 diabetes

Breuker, Cyril; Macioce, Valérie; Mura, Thibault; Audurier, Yohan; Boegner, C.; Jalabert, Anne; Villiet, Maxime; Castet‐Nicolas, Audrey; Avignon, A.; Sultan, Ariane

doi:10.1111/dme.13531

Cited by 17 publications

(16 citation statements)

References 13 publications

(29 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The noted proportion of discharge summaries with medication discrepancies, with regard to the pharmacist-compiled admission medication list as well as medication changes and adjustments during hospitalisation according to hospital electronic medical records, were in accordance with an American study noting one or more discharge medication errors for 39% of the patients [7], as well as a Canadian study noting a matching discrepancy occurrence 30 days post-discharge [14]. A somewhat lower proportion of 29% of diabetic patients having at least one error at admission and/ or discharge was noted in a French study [12]. In contrast, other European studies have shown considerably higher rates of medication discrepancies or inconsistencies in discharge documents [11,26], and a recent Australian study noted one or more medication discrepancies in more than half of the electronic discharge summaries [15].…”

Section: Discussionsupporting

confidence: 77%

“…Similarly, a Swedish study of elderly patients with many drugs showed, on average, two medication errors in every care transition [3]. Drug omission is the most common discrepancy and error type according to several studies [9][10][11][12]. The number of medications as well as increasing age seem to increase the discharge document medication discrepancy and error rate [11,14].…”

Section: Introductionmentioning

confidence: 93%

“…A substantial proportion of all medication discrepancies and errors are potentially harmful [11][12][13]15]. Considerable…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Medication Discrepancies in Discharge Summaries and Associated Risk Factors for Elderly Patients with Many Drugs

Caleres

Modig

Midlöv

et al. 2019

Drugs - Real World Outcomes

View full text Add to dashboard Cite

Background and Objective Elderly patients are at high risk for medication errors in care transitions. The discharge summary aims to counteract drug-related problems due to insufficient information transfer in care transitions, hence the accuracy of its medication information is of utmost importance. The purpose of this study was to describe the medication discrepancy rate and associated risk factors in discharge summaries for elderly patients. Methods Pharmacists collected random samples of discharge summaries from ten hospitals in southern Sweden. Medication discrepancies, organisational, and patient-and care-specific factors were noted. Patients aged ≥ 75 years with five or more drugs were further included. Descriptive and logistic regression analyses were performed. Results Discharge summaries for a total of 933 patients were included. Average age was 83.1 years, and 515 patients (55%) were women. Medication discrepancies were noted for 353 patients (38%) (mean 0.87 discrepancies per discharged patient, 95% confidence interval 0.76-0.98). Unintentional addition of a drug was the most common discrepancy type. Central nervous system drugs/analgesics were most commonly affected. Major risk factors for the presence of discrepancies were multi-dose drug dispensing (adjusted odds ratio 3.42, 95% confidence interval 2.48-4.74), an increasing number of drugs in the discharge summary (adjusted odds ratio 1.09, 95% confidence interval 1.05-1.13) and discharge from departments of surgery (adjusted odds ratio 2.96, 95% confidence interval 1.55-5.66). By contrast, an increasing number of drug changes reduced the odds of a discrepancy (adjusted odds ratio 0.93, 95% confidence interval 0.88-0.99). Conclusions Medication discrepancies were common. In addition, we identified certain circumstances in which greater vigilance may be of considerable value for increased medication safety for elderly patients in care transitions.

show abstract

Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 93%

See 1 more Smart Citation

Medication Discrepancies in Discharge Summaries and Associated Risk Factors for Elderly Patients with Many Drugs

Caleres

Modig

Midlöv

et al. 2019

Drugs - Real World Outcomes

View full text Add to dashboard Cite

show abstract

“…35, 824 (2018) Breuker et al [1] highlighted that patients with Type 1 diabetes have an approximately twofold higher risk of medication errors at hospital admission compared with those with Type 2 diabetes. Med.…”

mentioning

confidence: 99%

“…Med. 35, 824 (2018) Breuker et al [1] highlighted that patients with Type 1 diabetes have an approximately twofold higher risk of medication errors at hospital admission compared with those with Type 2 diabetes. There are certain differences in the pathophysiology of the two types of diabetes that need to be considered during diabetes care at hospitals.…”

mentioning

confidence: 99%

Management of Type 1 diabetes should be different from Type 2 diabetes at hospital admission

Aktürk

2018

Diabet. Med.

View full text Add to dashboard Cite

Evaluating the Connect with Pharmacy web-based intervention to reduce hospital readmission for older people

et al. 2019

View full text Add to dashboard Cite

Background The patient transition from a hospital to a post-discharge healthcare setting has potential to disrupt continuity of medication management and increase the risk of harm. “Connect with Pharmacy” is a new electronic web-based transfer of care initiative employed by Leeds Teaching Hospitals NHS Trust. This allows the sharing of discharge information between the hospital and a patient’s chosen community pharmacy. Objective We investigated whether the timely sharing of discharge information with community pharmacies via “Connect with Pharmacy” reduced hospital readmission rates in older patients. Method To evaluate intervention efficacy, hospital admission data was retrospectively collected. For primary analysis, admission rates were tracked 6-months prior (baseline) and 6-months post-intervention. Secondary measures included effect on total length of stay if readmitted, emergency department attendance and duration, and impact of polypharmacy. Main outcome measure The rate of non-elective hospital readmissions, 6-months post-intervention. Results In the sample (n = 627 patients; Mean age = 81 years), emergency readmission rates following the intervention (M = 1.1, 95% CI [0.98, 1.22]) reduced by 16.16% relative to baseline (M = 1.31, 95% CI [1.21, 1.42]) (W = 54,725; p < 0.001). There was no reduction in total length of stay. Subsidiary analysis revealed a post-intervention reduction in number of days spent in hospital lasting more than three days (χ2 = 13.37, df = 1, p < 0 .001). There were no statistically reliable differences in the remaining secondary measures. Conclusion The results showed a reduction in readmissions and potential post-intervention length of stay, indicating there may be further benefits for our older patients’ experiences and hospital flow.

show abstract

Medication errors at hospital admission and discharge in Type 1 and 2 diabetes

Abstract: Medication reconciliation identified medication errors in one third of individuals. Clinical pharmacists should focus on poly-medicated individuals, but also on other high-risk people, for example, those with Type 1 diabetes.

Cited by 17 publications

References 13 publications

Medication Discrepancies in Discharge Summaries and Associated Risk Factors for Elderly Patients with Many Drugs

Medication Discrepancies in Discharge Summaries and Associated Risk Factors for Elderly Patients with Many Drugs

Management of Type 1 diabetes should be different from Type 2 diabetes at hospital admission

Evaluating the Connect with Pharmacy web-based intervention to reduce hospital readmission for older people

Contact Info

Product

Resources

About