Nurses´ attitudes to single checking medications : before and after its use

We report nurses' attitudes towards the single checking of medications before and after the implementation of this procedure in an acute health-care setting. Data from a pre-implementation survey confirmed that some nurses held strong views against single checking. Following this survey, the hospital's medication administration policy was revised, a single checking resource manual was developed, 1–2 h nurse education sessions were held, the competencies of nurses to single check and to administer medications were assessed, and single checking was successfully piloted before hospital-wide implementation. Data from a survey conducted 18 months after the implementation indicated that nurses welcomed the single checking medication procedure, felt more confident using single checking and perceived that it made them more accountable for administering medications. The findings provide evidence that nurses' attitudes to single checking change remarkably in favour of its use with education and experience using this procedure.

Construct validity and reliability of the single checking administration of medications scale

Research indicates that single checking of medications is as safe as double checking; however, many nurses are averse to independently checking medications. To assist with the introduction and use of single checking, a measure of nurses' attitudes, the thirteen-item Single Checking Administration of Medications Scale (SCAMS) was developed. We examined the psychometric properties of the SCAMS. Secondary analyses were conducted on data collected from 503 nurses across a large Australian health-care service. Analyses using exploratory and confirmatory factor analyses supported by structural equation modelling resulted in a valid twelve-item SCAMS containing two reliable subscales, the nine-item Attitudes towards single checking and three-item Advantages of single checking subscales. The SCAMS is recommended as a valid and reliable measure for monitoring nurses' attitudes to single checking prior to introducing single checking medications and after its implementation.

Psychometric properties of a tool to measure nurses' attitudes to single checking medications: SCAMS-II

BACKGROUND AND AIMS: Single checking medications has been increasingly adopted over the past decade by nurses in Australian healthcare services. However, attitudes toward the practice of only one nurse checking medications remain unclear. The aim of this article is to report on the development, reliability, and validity of a tool to measure nurses' attitudes to single checking medications in a health service in which single checking has been in place for over a decade. METHODS: In a cross-sectional survey design, the Single Checking and Administration of Medications Scale (SCAMS-II) was used to measure the attitudes of 299 registered nurses (RNs) who were single checking medications in one metropolitan teaching hospital in Australia. Exploratory factor analysis was used to explore the dimensions that best represented the SCAMS-II. Cronbach's α was used to assess internal consistency of the identified subscales. To test the construct validity of the emergent questionnaire, Confirmatory Factor Analysis and Rasch analyses were performed. RESULTS: The psychometric properties of the SCAMS-II revealed 12 items with three reliable subscales: a five-item accountability model; a four-item efficiency model; and a three-item knowledge model. LINKING EVIDENCE TO ACTION: In settings where single checking is current practice, the SCAMS-II is recommended as a reliable tool to measure nurses' attitudes toward the single checking of medications. The findings from this study may assist healthcare organizations in the development of policy and procedure guidelines for the safe administration of medications.

Multifactorial influences on and deviations from medication administration safety and quality in the acute medical/surgical context

Background and Aims: Although numerous factors influence medication administration, our understanding of the interplay of these factors on medication quality and safety is limited. The aim of this study was to explore the multifactorial influences on medication quality and safety in the context of a single checking policy for medication administration in acute care.

Approach: An exploratory/descriptive study using non-participant observation and follow-up interview was used to identify factors influencing medication quality and safety in medication administration episodes (n = 30). Observations focused on nurses’ interactions with patients during medication administration, and the characteristics of the environment in which these took place. Confirmation of observed data occurred on completion of the observation period during short semi-structured interviews with participant nurses.

Findings: Findings showed nurses developed therapeutic relationships with patients in terms of assessing patients before administering medications and educating patients about drugs during medication administration. Nurses experienced more frequent distractions when medications were stored and prepared in a communal drug room according to ward design. Nurses deviated from best-practice guidelines during medication administration.

Implications: Nurses’ abilities and readiness to develop therapeutic relationships with patients increased medication quality and safety, thereby protecting patients from potential adverse events. Deviations from best-practice medication administration had the potential to decrease medication safety. System factors such as ward design determining medication storage areas can be readily addressed to minimise potential error.

Conclusions: Nurses displayed behaviours that increased medication administration quality and safety; however, violations of practice standards were observed. These findings will inform future intervention studies to improve medication quality and safety.

Distributed data possession checking for securing multiple replicas in geographically-dispersed clouds

Distributing multiple replicas in geographically-dispersed clouds is a popular approach to reduce latency to users. It is important to ensure that each replica should have availability and data integrity features; that is, the same as the original data without any corruption and tampering. Remote data possession checking is a valid method to verify the replicass availability and integrity. Since remotely checking the entire data is time-consuming due to both the large data volume and the limited bandwidth, efficient data-possession- verifying methods generally sample and check a small hash (or random blocks) of the data to greatly reduce the I/O cost. Most recent research on data possession checking considers only single replica. However, multiple replicas data possession checking is much more challenging, since it is difficult to optimize the remote communication cost among multiple geographically-dispersed clouds. In this paper, we provide a novel efficient Distributed Multiple Replicas Data Possession Checking (DMRDPC) scheme to tackle new challenges. Our goal is to improve efficiency by finding an optimal spanning tree to define the partial order of scheduling multiple replicas data possession checking. But since the bandwidths have geographical diversity on the different replica links and the bandwidths between two replicas are asymmetric, we must resolve the problem of Finding an Optimal Spanning Tree in a Complete Bidirectional Directed Graph, which we call the FOSTCBDG problem. Particularly, we provide theories for resolving the FOSTCBDG problem through counting all the available paths that viruses attack in clouds network environment. Also, we help the cloud users to achieve efficient multiple replicas data possession checking by an approximate algorithm for tackling the FOSTCBDG problem, and the effectiveness is demonstrated by an experimental study. © 2011 Elsevier Inc.