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1.
BMJ Open ; 9(5): e026259, 2019 05 27.
Article in English | MEDLINE | ID: mdl-31133583

ABSTRACT

OBJECTIVE: Medication reconciliation (MedRec) is a relevant safety procedure in medication management at transitions of care. The aim of this study was to evaluate the impact of MedRec, including a best possible medication history (BPMH) compared with a standard medication history in patients admitted to an internal medicine ward. DESIGN: Prospective interventional study. Data were analysed using descriptive statistics followed by univariate and multivariate Poisson regression models and a zero-inflated Poisson regression model. SETTING: Internal medicine ward in a secondary care hospital in Southern Switzerland. PARTICIPANTS: The first 100 consecutive patients admitted in an internal medicine ward. PRIMARY AND SECONDARY OUTCOME MEASURES: Medication discrepancies between the medication list obtained by the physician and that obtained by a pharmacist according to a systematic approach (BPMH) were collected, quantified and assessed by an expert panel that assigned a severity score. The same procedure was applied to discrepancies regarding allergies. Predicting factors for medication discrepancies were identified. RESULTS: The median of medications per patient was 8 after standard medication history and 11 after BPMH. Total admission discrepancies were 524 (5.24 discrepancies per patient) with at least 1 discrepancy per patient. For 47 patients, at least one discrepancy was classified as clinically relevant. Discrepancies were classified as significant and serious in 19% and 2% of cases, respectively. Furthermore, 67% of the discrepancies were detected during the interview conducted by the pharmacist with the patients and/or their caregivers. The number of drugs used and the autonomous management of home therapy were associated with an increased number of clinically relevant discrepancies in a multivariable Poisson regression model. CONCLUSION: Even in an advanced healthcare system, a standardised MedRec process including a BPMH represents an important strategy that may contribute to avoid a notable number of clinically relevant discrepancies and potential adverse drug events.


Subject(s)
Medication Errors/statistics & numerical data , Medication Reconciliation/organization & administration , Adult , Aged , Aged, 80 and over , Female , Hospitalization/statistics & numerical data , Humans , Male , Medication Errors/prevention & control , Medication Reconciliation/statistics & numerical data , Middle Aged , Patient Transfer/organization & administration , Prospective Studies , Switzerland
2.
Swiss Med Wkly ; 146: w14320, 2016.
Article in English | MEDLINE | ID: mdl-27322572

ABSTRACT

QUESTIONS UNDER STUDY: Hypokalaemia in inpatients is common, and is associated with morbidity and mortality. Its management is risky and not always effective. We launched an educational programme with the aim of increasing the rate of potassium normalisation during hospital stay, and of reducing unmonitored cases. METHODS: The project consisted of three phases: (I) retrospective analysis on 26 471 patients hospitalised in 2012 in five acute care hospitals of southern Switzerland (Ente Ospedaliero Cantonale, EOC) with identification of improvement goals on a sample survey (588 cases of hypokalaemia); (II) revision of internal guidelines, and implementation of educational activities in one of the five hospitals (Ospedale Regionale di Locarno, ODL); (III) follow-up analysis on the 26 726 patients hospitalised in 2014 and second sampling to complete the evaluation of the efficacy of the intervention. RESULTS: Phase I, ODL vs EOC: prevalence of hypokalaemia, 21.7 vs 23.2% (p <0.05); treated 53.1 vs 56.5% (not significant); normalisation 62.4 vs 61.1% (ns); absence of monitoring 18.3 vs 21.1% (p <0.05); time to normalisation 3.0 ± 2.7 vs 2.8 ± 2.4 days (ns); secondary hyperkalaemia 1.1 vs 1.4% (ns). Length of stay hypokalaemic vs normokalaemic 11.2 ± 11.7 vs 6.6 ± 7.9 days (p <0.001); falls 3.5 vs 1.7% (p <0.001), deaths 5.1 vs 3.1% (p <0.001). The severity/performance ratio suggested inefficiency. Phase III, ODL 2012 vs ODL 2014: treated 53.1 vs 75.7% (p <0.001); normalisation 62.4 vs 69.7% (p <0.01); absence of monitoring 20.1 vs 8.7 (p <0.01); time to normalisation 3.1 ± 2.7 vs 2.4 ± 2.6 days (ns); secondary hyperkalaemia 1.1 vs 1.8% (ns). CONCLUSIONS: The management of hypokalaemia is characterised by dysfunctions; it can, however, be ameliorated by the implementation of internal guidelines and targeted educational activities. The length of hospital stay is increased in patients with hypokalaemia, shifting the expected length of hospital stay based on the Swiss Diagnosis Related Group classification.


Subject(s)
Health Personnel/education , Hospitalization , Hypokalemia/epidemiology , Length of Stay , Guideline Adherence , Humans , Potassium/administration & dosage , Potassium/analysis , Potassium/blood , Retrospective Studies , Switzerland/epidemiology
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