Pharmacists’ expectations and perceptions of electronic medication management: lessons from Australia

Source at http://www.ep.liu.se/ecp/161/003/ecp19161003.pdf.Background - Implementing electronic medication management systems (eMMS) is likely to influence established work practices. Objective - To explore Australian hospital pharmacists’ expectations of, or experiences with, eMMS. Methods - Semi-structured individual phone interviews with pharmacists from six Australian States and Territories were conducted in 2014. Results - A total of 18 pharmacists were interviewed. Pharmacists using what they perceived to be a well-designed eMMS appeared satisfied, reporting on increased work efficiency and improved medication safety, while pharmacists dissatisfied with the eMMS focused almost exclusively on negative effects of eMMS on time and patient safety. Conclusions - It is important to manage expectations and consider pharmacists’ workflow when designing eMMS to increase satisfaction, perceived work efficiency and medication safety

Medication safety incidents in paediatric oncology after electronic medication management system implementation

Objective: To explore medication safety issues related to use of an electronic medication management system (EMM) in paediatric oncology practice, through the analysis of patient safety incident reports. Methods: We analysed 827 voluntarily reported incidents relating to oncology patients that occurred over an 18‐month period immediately following implementation of an EMM in a paediatric hospital in Australia. We identified medication‐related and EMM‐related incidents and carried out a content analysis to identify patterns. Results: We found ~79% (n = 651) of incidents were medication‐related and, of these, ~45% (n = 294) were EMM‐related. Medication‐related incidents included issues with: prescribing; dispensing; administration; patient transfers; missing chemotherapy protocols and information on current stage of patient treatment; coordination of chemotherapy administration; handling or storing medications; children or families handling medications. EMM‐related incidents were classified into four groups: technical issues, issues with the user experience, unanticipated problems in EMM workflow, and missing safety features. Conclusions: Incidents reflected difficulties with managing therapies rich in interdependencies. EMM, and especially its ‘automaticity’, contributed to these incidents. As EMM impacts on safety in such high‐risk settings, it is essential that users are aware of and attend to EMM automatic behaviours and are equipped to troubleshoot them

A review of medical error taxonomies: a human factors perspective

Although a large number of medical error taxonomies have been published, there is little evidence to suggest that these taxonomies have been systematically compared. This paper describes a study comparing 26 medical error taxonomies using a human factors perspective. The taxonomies were examined to determine if they classified systemic factors of medical errors and if they utilized theoretical error concepts in their classifications. Scope of classification was also examined. It was found that two-thirds of the taxonomies classified systemic factors of medical errors and only a third utilized theoretical error concepts. Medical error taxonomies based on theoretical error concepts were more likely to be generic in applicability and also more likely to classify systemic factors and psychological error mechanisms of medical errors. In addition to terminology, the medical error taxonomies also varied in terms of domain-specificity, granularity, and developmental process. Different medical error taxonomies provide different information; how these differences affect medical error management needs to be investigated

Automation bias in electronic prescribing

© 2017 The Author(s). Background: Clinical decision support (CDS) in e-prescribing can improve safety by alerting potential errors, but introduces new sources of risk. Automation bias (AB) occurs when users over-rely on CDS, reducing vigilance in information seeking and processing. Evidence of AB has been found in other clinical tasks, but has not yet been tested with e-prescribing. This study tests for the presence of AB in e-prescribing and the impact of task complexity and interruptions on AB. Methods: One hundred and twenty students in the final two years of a medical degree prescribed medicines for nine clinical scenarios using a simulated e-prescribing system. Quality of CDS (correct, incorrect and no CDS) and task complexity (low, low + interruption and high) were varied between conditions. Omission errors (failure to detect prescribing errors) and commission errors (acceptance of false positive alerts) were measured. Results: Compared to scenarios with no CDS, correct CDS reduced omission errors by 38.3% (p < .0001, n = 120), 46.6% (p < .0001, n = 70), and 39.2% (p < .0001, n = 120) for low, low + interrupt and high complexity scenarios respectively. Incorrect CDS increased omission errors by 33.3% (p < .0001, n = 120), 24.5% (p < .009, n = 82), and 26.7% (p < .0001, n = 120). Participants made commission errors, 65.8% (p < .0001, n = 120), 53.5% (p < .0001, n = 82), and 51.7% (p < .0001, n = 120). Task complexity and interruptions had no impact on AB. Conclusions: This study found evidence of AB omission and commission errors in e-prescribing. Verification of CDS alerts is key to avoiding AB errors. However, interventions focused on this have had limited success to date. Clinicians should remain vigilant to the risks of CDS failures and verify CDS

Examining barriers to healthcare providers’ adoption of a hospital-wide electronic patient journey board

Background: The dynamic environment that characterizes patient care in hospitals requires extensive communication between staff. Electronic status board applications are used to improve the flow of communication in hospitals. To date there has been limited work exploring the adoption of these applications in general acute ward settings. Aim: This study aimed to identify barriers to the adoption of an electronic patient journey board (EPJB)1 application in acute wards of a hospital. Method: Data were collected at a large public teaching hospital in Sydney, Australia. The EPJB was implemented across all hospital wards with the aim of improving multidisciplinary communication in wards. Observations (29.5 h) and contextual interviews (n = 33) with hospital staff were conducted in two acute wards of the hospital. Results: Two manual whiteboards were used on wards, in addition to the EPJB, to compensate for information not being available or accessible on the EPJB. Despite the stated purpose of the EPJB, the tool did not appear to support team communication on wards. Barriers to adoption and optimal use of the EPJB included inappropriate location and configuration of the system, limitations in information timeliness, quality and lack of customisation (for different user groups), inconsistent information updates and the absence of a shared understanding of the purpose of the EPJB among the various user groups. Conclusion: Multiple socio-technical barriers influenced uptake and optimal use of the EPJB by healthcare providers. Engaging users early in the design and implementation of electronic status board applications is required to ensure effective use of these complex interventions on general wards

Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents

Minor safety incidents on the railways cause disruption, and may be indicators of more serious safety risks. The following paper aimed to gain an understanding of the relationship between active and latent factors, and particular causal paths for these types of incidents by using the Human Factors Analysis and Classification System (HFACS) to examine rail industry incident reports investigating such events. 78 reports across 5 types of incident were reviewed by two authors and cross-referenced for interrater reliability using the index of concordance. The results indicate that the reports were strongly focused on active failures, particularly those associated with work-related distraction and environmental factors. Few latent factors were presented in the reports. Different causal pathways emerged for memory failures for events such a failure to call at stations, and attentional failures which were more often associated with signals passed at danger. The study highlights a need for the rail industry to look more closely at latent factors at the supervisory and organisational levels when nvestigating minor safety of the line incidents. The results also strongly suggest the importance of a new factor – operational environment – that captures unexpected and non-routine operating conditions which have a risk of distracting the driver. Finally, the study is further demonstration of the utility of HFACS to the rail industry, and of the usefulness of the index of concordance measure of interrater reliability

Patient initiated radiology requests: proof of wellness through images

Background: Traditionally, general practitioners (GPs) have initiated the need for, and ordered, radiological tests. With the emergence of consumer-centred care, patients have started to request scans from doctors on their own initiative. Consumeristic health care has shifted the patient–doctor dyadic relationship, with GPs trending towards accommodating patients’ requests. Methods: A mixed method analysis was conducted using a survey instrument with open ended questions and concurrent interviews to explore participants’ responses from their requests for radiological studies from GPs. Themes emerging from both qualitative and quantitative methodologies were mapped onto the Andersen Newman Model (ANM). Results: Data were analysed for ‘predisposing,’ ‘need’ and ‘enabling’ elements of the ANM model and were correspondingly mapped to patient’s requests for radiological referrals according to the elements of the ANM. Participants expressed anxiety about their health, were confident in the types of radiological scans they desired and typically indicated the need for evidence of good health. Their desire for such requested scans was often enabled through prior exposure to health information and the experience of specific symptoms. Requests came with the expectation of validation, and if these requests were denied, participants indicated that they would seek another doctor who would oblige. Conclusions: In our modest study of Australian patients, participants were well informed about their health. Exposure to information seems to create a sense of anxiousness prior to visiting the doctor. Individuals sought visual proof of wellness through imaging, and doctors in return often accommodated patient requests for radiological studies to appease patients’ needs and to maintain workflow

Measuring the financial and productivity burden of paediatric hospitalisation on the wider family network

Aim: To estimate the non-medical out-of-pocket costs for families with a child in hospital. Methods: This study was a survey of 225 parents of paediatric inpatients on nine wards of an Australian public paediatric teaching hospital on two separate days. Our primary outcomes were the costs associated with: (i) time taken off work to care for the child in hospital; (ii) time off work or contributed by family and friends to care for other dependents; and (iii) travel, meals, accommodation and incidental expenses during the child's stay. Demographic data included postcode (to assess distance, socio-economic status and remoteness), child's age, ward and whether this was their child's first admission. Results: Mean patient age was 6.5 years (standard deviation 5.2). On an average per patient day basis, parents took 1.12 days off work and spent 0.61 (standard deviation 0.53) nights away from home, with 83.8% of nights away at the child's bedside. Parents spent Australian dollars (AUD)89 per day on travel and AUD36 on meals and accommodation. Total costs (including productivity costs) were AUD589 per patient day. Higher costs per patient day were correlated with living in a more remote area (0.48) and a greater travel distance to the hospital (0.41). A higher number of days off work was correlated (0.69) with number of school days missed. Conclusion: These results demonstrate the considerable time and financial resources expended by families caring for a child in hospital and are important inputs in evaluating health-care interventions that affect risk of hospitalisation and length of stay in paediatric care.Virginia Mumford, Melissa T Baysari, Djala Kalinin, Magdalena Z Raban, Cheryl McCullagh, Jonathon Karnon and Johanna I Westbroo