Background Medication administration errors (MAEs) occur frequently in hospitals and may compromise patient safety. Preventive strategies are needed to reduce the risk of MAEs. The primary aim of this study was to assess the effect of central automated unit dose dispensing (ADD) with barcode-assisted medication administration (BCMA) on the prevalence of MAEs. Secondary aims were to assess the effect on the type and potential severity of MAEs. Furthermore, compliance with procedures regarding scanning of patient and medication barcodes, and nursing staff satisfaction with the medication administration system were assessed. Methods We performed a prospective uncontrolled before-and-after study in six clinical wards in a Dutch university hospital from 2018 through 2020. MAE data were collected by observation. The primary outcome was the proportion of medication administrations with one or more MAEs. Secondary outcomes were the type and potential severity of MAEs, rates of compliance with patient identification and signing of administered medication by scanning, and nursing staff satisfaction with the medication administration system. Multivariable mixed-effects logistic regression analyses were used for the primary outcome to adjust for confounding and for clustering on nurse and patient level. Results One or more MAEs occurred in 291 of 1490 administrations (19.5%) pre-intervention and in 258 of 1630 administrations (15.8%) post-intervention (adjusted odds ratio 0.70, 95% confidence interval 0.51-0.96). The rate of omission fell from 4.6% to 2.0% and of wrong dose from 3.8% to 2.1%, whereas rates of other MAE types were similar. The rate of potentially harmful MAEs fell from 3% (n=44) to 0.3% (n=5). The rates of compliance with scanning of patient and medication barcode post-intervention were 13.6% and 55.9%, respectively. The median overall satisfaction score of the nurses with the medication administration system on a 100-point scale was 70 (interquartile range 63-75, n=193) pre-intervention and 70 (interquartile range 60-78, n=145) post-intervention (P = 0.626, Mann-Whitney U test). Conclusion The implementation of central ADD with BCMA was associated with a lower probability of MAEs, including potentially harmful errors, but more compliance with scanning procedures is needed. Nurses were moderately satisfied with the medication administration system, both before and after implementation. In conclusion, despite low compliance with scanning procedures, this study shows that this intervention contributes to improvement of medication safety in hospitals.

Objective. Constipation is a prevalent problem in patients with psychiatric disorders; it reduces quality of life and may lead to severe complications. The prevalence distribution of constipation across all psychiatric diagnoses in patients with severe mental illness (SMI) has hardly been studied. The aim of this study is to estimate the association between psychiatric disorders and constipation in SMI inpatients. Methods. The strength of the association between constipation (based on use of laxatives) and DSM-IV psychiatric diagnosis was studied in a cross-sectional study with “adjustment disorders” as the reference group. The association was analyzed using logistic regression. Results. Of the 4728 patients, 20.3% had constipation. In the stratum of patients older than 60 years, all psychiatric categories except for substance related disorders were significantly associated with a higher prevalence of constipation (odds ratios ranging from 3.38 to 6.52), whereas no significant associations were found in the stratum of patients between 18 and 60 years (odds ratios ranging from 1.00 to 2.03). Conclusion. In the elderly, all measured psychiatric diagnoses are strongly associated with an increased prevalence of constipation. Physicians should be extra alert for constipation in SMI patients, independent of specific psychiatric diagnoses.

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Aims and objectives To identify the prevalence and determinants of medication administration errors (MAEs). Background Insight into determinants of MAEs is necessary to identify interventions to prevent MAEs. Design A prospective observational study in two Dutch hospitals, a university and teaching hospital. Methods Data were collected by observation. The primary outcome was the proportion of administrations with one or more MAEs. Secondary outcomes were the type, severity and determinants of MAEs. Multivariable mixed‐effects logistic regression analyses were used for determinant analysis. Reporting adheres to the STROBE guideline. Results MAEs occurred in 352 of 2576 medication administrations (13.7%). Of all MAEs (n = 380), the most prevalent types were omission (n = 87) and wrong medication handling (n = 75). Forty‐five MAEs (11.8%) were potentially harmful. The pharmaceutical forms oral liquid (odds ratio [OR] 3.22, 95% confidence interval [CI] 1.43–7.25), infusion (OR 1.73, CI 1.02–2.94), injection (OR 3.52, CI 2.00–6.21), ointment (OR 10.78, CI 2.10–55.26), suppository/enema (OR 6.39, CI 1.13–36.03) and miscellaneous (OR 6.17, CI 1.90–20.04) were more prone to MAEs compared to oral solid. MAEs were more likely to occur when medication was administered between 10 a.m.–2 p.m. (OR 1.91, CI 1.06–3.46) and 6 p.m.–7 a.m. (OR 1.88, CI 1.00–3.52) compared to 7 a.m.–10 a.m. and when administered by staff with higher professional education compared to staff with secondary vocational education (OR 1.68, CI 1.03–2.74). MAEs were less likely to occur in the teaching hospital (OR 0.17, CI 0.08–0.33). Day of the week, patient‐to‐nurse ratio, interruptions and other nurse characteristics (degree, experience, employment type) were not associated with MAEs. Conclusions This study identified a high MAE prevalence. Identified determinants suggest that focusing interventions on complex pharmaceutical forms and error‐prone administration times may contribute to MAE reduction. Relevance to clinical practice The findings of this study can be used to develop targeted interventions to improve patient safety.