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Purpose: Medication errors during transitional care are an important patient safety issue. Medication reconciliation is an established intervention to reduce such errors. Current evidence has not demonstrated an associated reduction in healthcare costs, however, with complexity and resource intensity being identified as issues. The aims of this study were to examine an existing process of medication reconciliation in terms of time taken, to identify factors associated with additional time, and to determine if additional time is associated with detecting errors of clinical significance. Methods: A cross-sectional study was conducted. Issues arising during medication reconciliation incurring a time burden additional to the usual process were logged and quantified by pharmacists. Regression analyses investigated associations between patient characteristics and clinically significant errors and additional time. Cost for additional time in terms of hospital pharmacist salary was calculated. Results: Eighty-nine patients were included. Having a personal record of medication at admission (OR 3.30, 95% CI: (1.05 to 10.42), p = 0.004) was a significant predictor of additional time. No significant associations were found between the occurrence of clinically significant error and additional time (p > 0.05). The most common reason for additional time was clarifying issues pertaining to primary care medication information. Projected annual 5-year costs for the mean additional time of 3.75 min were €1.8–1.9 million. Conclusions: Spending additional time on medication reconciliation is associated with economic burden and may not yield benefit in terms of capturing clinically significant errors. There is a need to improve communication of medication information between primary and secondary care. [ABSTRACT FROM AUTHOR]

ObjectiveThe relationship between workplace absenteeism and adverse lifestyle factors (smoking, physical inactivity and poor dietary patterns) remains ambiguous. Reliance on self-reported absenteeism and obesity measures may contribute to this uncertainty. Using objective absenteeism and health status measures, the present study aimed to investigate what health status outcomes and lifestyle factors influence workplace absenteeism.DesignCross-sectional data were obtained from a complex workplace dietary intervention trial, the Food Choice at Work Study.SettingFour multinational manufacturing workplaces in Cork, Republic of Ireland.SubjectsParticipants included 540 randomly selected employees from the four workplaces. Annual count absenteeism data were collected. Physical assessments included objective health status measures (BMI, midway waist circumference and blood pressure). FFQ measured diet quality from which DASH (Dietary Approaches to Stop Hypertension) scores were constructed. A zero-inflated negative binomial (zinb) regression model examined associations between health status outcomes, lifestyle characteristics and absenteeism.ResultsThe mean number of absences was 2·5 (sd 4·5) d. After controlling for sociodemographic and lifestyle characteristics, the zinb model indicated that absenteeism was positively associated with central obesity, increasing expected absence rate by 72 %. Consuming a high-quality diet and engaging in moderate levels of physical activity were negatively associated with absenteeism and reduced expected frequency by 50 % and 36 %, respectively. Being in a managerial/supervisory position also reduced expected frequency by 50 %.ConclusionsTo reduce absenteeism, workplace health promotion policies should incorporate recommendations designed to prevent and manage excess weight, improve diet quality and increase physical activity levels of employees. [ABSTRACT FROM AUTHOR]