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Introduction: Gout is increasing despite effective therapies to lower serum urate concentrations to 0.36 mmol/L or less, which, if sustained, significantly reduces acute attacks of gout. Adherence to urate-lowering therapy (ULT) is poor, with rates of less than 50% 1 year after initiation of ULT. Attempts to increase adherence in gout patients have been disappointing. We aim to evaluate the effectiveness of use of a personal, self-management, 'smartphone' application (app) to achieve target serum urate concentrations in people with gout. We hypothesise that personalised feedback of serum urate concentrations will improve adherence to ULT., Methods and Analysis: Setting and designPrimary care. A prospective, cluster randomised (by general practitioner (GP) practices), controlled trial., Participants: GP practices will be randomised to either intervention or control clusters with their patients allocated to the same cluster., Intervention: The intervention group will have access to the Healthy.me app tailored for the self-management of gout. The control group patients will have access to the same app modified to remove all functions except the Gout Attack Diary., Primary and Secondary Outcomes: The proportion of patients whose serum urate concentrations are less than or equal to 0.36 mmol/L after 6 months. Secondary outcomes will be proportions of patients achieving target urate concentrations at 12 months, ULT adherence rates, serum urate concentrations at 6 and 12 months, rates of attacks of gout, quality of life estimations and process and economic evaluations. The study is designed to detect a ≥30% improvement in the intervention group above the expected 50% achievement of target serum urate at 6 months in the control group: power 0.80, significance level 0.05, assumed 'dropout' rate 20%., Ethics and Dissemination: This study has been approved by the University of New South Wales Human Research Ethics Committee. Study findings will be disseminated in international conferences and peer-reviewed journal., Trial Registration Number: ACTRN12616000455460., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objective: To determine the impact of the introduction of new pre-written orders for antimicrobials in a computerized provider order entry (CPOE) system on 1) accuracy of documented indications for antimicrobials in the CPOE system, 2) appropriateness of antimicrobial prescribing, and 3) compliance with the hospital's antimicrobial policy. Prescriber opinions of the new decision support were also explored to determine why the redesign was effective or ineffective in altering prescribing practices., Methods: The study comprised two parts: a controlled pre-post study and qualitative interviews. The intervention involved the redesign of pre-written orders for half the antimicrobials so that approved indications were incorporated into pre-written orders. 555 antimicrobials prescribed before (September - October, 2013) and 534 antimicrobials prescribed after (March - April, 2015) the intervention on all general wards of a hospital were audited by study pharmacists. Eleven prescribers participated in semi-structured interviews., Results: Redesign of computerized decision support did not result in more appropriate or compliant antimicrobial prescribing, nor did it improve accuracy of indication documentation in the CPOE system (Intervention antimicrobials: appropriateness 49% vs. 50%; compliance 44% vs. 42%; accuracy 58% vs. 38%; all p>0.05). Via our interviews with prescribers we identified five main reasons for this, primarily that indications entered into the CPOE system were not monitored or followed-up, and that the antimicrobial approval process did not align well with prescriber workflow., Conclusion: Redesign of pre-written orders to incorporate appropriate indications did not improve antimicrobial prescribing. Workarounds are likely when compliance with hospital policy creates additional work for prescribers or when system usability is poor. Implementation of IT, in the absence of support or follow-up, is unlikely to achieve all anticipated benefits.

Objectives: To assess the evidence of the effectiveness of different categories of interruptive medication prescribing alerts to change prescriber behavior and/or improve patient outcomes in hospital computerized provider order entry (CPOE) systems., Methods: PubMed, Embase, CINAHL and the Cochrane Library were searched for relevant articles published between January 2000 and February 2016. Studies were included if they compared the outcomes of automatic, interruptive medication prescribing alert/s to a control/comparison group to determine alert effectiveness., Results: Twenty-three studies describing 32 alerts classified into 11 alert categories were identified. The most common alert categories studied were drug-condition interaction (n=6), drug-drug interaction alerts (n=6) and corollary order alerts (n=6). All 23 papers investigated the effect of the intervention alert on at least one outcome measure of prescriber behavior. Just over half of the studies (53%, n=17) reported a statistically significant beneficial effect from the intervention alert; 34% (n=11) reported no statistically significant effect, and 6% (n=2) reported a significant detrimental effect. Two studies also evaluated the effect of alerts on patient outcome measures; neither finding that patient outcomes significantly improved following alert implementation (6%, n=2). The greatest volume of evidence relates to three alert categories: drug-condition, drug-drug and corollary order alerts. Of these, drug-condition alerts had the greatest number of studies reporting positive effects (five out of six studies). Only two of six studies of drug-drug interaction and one of six of corollary alerts reported positive benefits., Discussion and Conclusion: The current evidence-base does not show a clear indication that particular categories of alerts are more effective than others. While the majority of alert categories were shown to improve outcomes in some studies, there were also many cases where outcomes did not improve. This lack of evidence hinders decisions about the amount and type of decision support that should be integrated into CPOE systems to increase safety while reducing the risk of alert fatigue. Virtually no studies have sought to investigate the impact on changes to prescriber behavior and outcomes overall when alerts from multiple categories are incorporated within the same system., (Copyright © 2017 Elsevier B.V. All rights reserved.)

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.

Background: Telenursing triage and advice services are increasingly being used to deliver health advice. Medication-related queries are common, however little research has explored the medication-related calls made to these services. The aim of this study was to examine the profile of medication-related calls to a national telenursing triage and advice service and the medications involved., Methods: This was a retrospective cohort study of medication-related calls received by Australia's national helpline (healthdirect helpline) in 2014, which provides free advice from registered nurses. We examined the volume of medication-related calls over time, user profiles for patients and callers, and call characteristics and we also investigated medications involved in the calls by their generic names and therapeutic classes., Results: Of 675,774 calls, 3.8% (n = 25,744) were medication-related, which was the largest category of calls. The average call length was 10 min. Over half of callers (55.4%) were advised to deliver self-care. Of 7,459 calls where the callers reported they did not know what to do prior to calling, 56.8% were advised to self-care and 3.5% were transferred to the Poisons Information Centre immediately. Of 1,277 calls where callers reported that they had originally intended to call an ambulance or attend an emergency department (ED), none were advised to do so. Advice most frequently requested was about analgesics and antipyretics, followed by non-steroidal anti-inflammatory agents., Conclusion: The telenursing triage and advice helpline offered quick and easily accessible advice, and provided reassurance to patients and callers with medication-related queries. The service also potentially diverted some patients from attending an ED unnecessarily.

Quantifying alert override has been the focus of much research in health informatics, with override rate traditionally viewed as a surrogate inverse indicator for alert effectiveness. However, relying on alert override to assess computerized alerts assumes that alerts are being read and determined to be irrelevant by users. Our research suggests that this is unlikely to be the case when users are experiencing alert overload. We propose that over time, alert override becomes habitual. The override response is activated by environmental cues and repeated automatically, with limited conscious intention. In this paper we outline this new perspective on understanding alert override. We present evidence consistent with the notion of alert override as a habitual behavior and discuss implications of this novel perspective for future research on alert override, a common and persistent problem accompanying decision support system implementation., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

The roll-out of a hospital-wide electronic medication management system (eMMS) is a challenging task, requiring planning, coordination, communication and change management. This research aimed to explore the views of doctors and nurses about the strategy used to implement an eMM system in a paediatric hospital. Semi-structured interviews were performed during the first week of the implementation on each ward, and were then followed up three and six weeks post implementation. In total, 90 users (60 nurses and 30 doctors) were asked about their impressions of the implementation, as well as their perceptions of training and IT support. Qualitative thematic analysis was performed by three researchers. Most users perceived the implementation of the eMM to be positive overall. Although perceptions of the implementation process remained largely consistent across the six weeks, users identified several areas where improvements were needed, especially early in implementation, including resources, planning, roll-out strategy and training. These findings are useful for future implementations of eMM systems in paediatric hospitals.

Purpose: The study aimed to (1) determine the trends in the utilisation of metformin in Australia, (2) determine the appropriateness of metformin dosing in an Australian teaching hospital and (3) gather the opinions of prescribers on the relationship between metformin dose and renal function., Methods: National prescription data between 1990 and 2012 were accessed. A retrospective audit (2008-2012) of metformin doses and patient renal function (20 % random sample of all in-patients prescribed metformin) was conducted at St Vincent's Hospital (SVH), Sydney. Prescribers of metformin were interviewed (semi-structured; consultants at SVH) or surveyed (Australian endocrinologists) to gather their understanding of metformin dosing in relation to renal function., Results: Metformin utilisation increased fivefold nationally between 1995 and 2012. Metformin tended to be under-dosed in SVH patients with normal renal function (83.5 %) and over-dosed in patients with impaired renal function (estimated glomerular filtration rate (eGFR) <30 mL/min, 50 %). Consultants indicated that metformin doses needed to be reduced in renal impairment. Most endocrinologists (61 %) were comfortable prescribing metformin down to eGFRs around 30 mL/min., Conclusion: The use of metformin increased greatly over the period of the study. Metformin is prescribed frequently for patients with eGFR values below the minimal level approved in the product label (60 mL/min). While prescribers expressed their understanding of the need to reduce metformin doses in patients with renal impairment, we found that metformin doses were higher than appropriate in patients with impaired renal function. Metformin may be used safely when renal function is poor provided dosage is appropriately reduced.

Introduction: Medication errors are the most frequent cause of preventable harm in hospitals. Medication management in paediatric patients is particularly complex and consequently potential for harms are greater than in adults. Electronic medication management (eMM) systems are heralded as a highly effective intervention to reduce adverse drug events (ADEs), yet internationally evidence of their effectiveness in paediatric populations is limited. This study will assess the effectiveness of an eMM system to reduce medication errors, ADEs and length of stay (LOS). The study will also investigate system impact on clinical work processes., Methods and Analysis: A stepped-wedge cluster randomised controlled trial (SWCRCT) will measure changes pre-eMM and post-eMM system implementation in prescribing and medication administration error (MAE) rates, potential and actual ADEs, and average LOS. In stage 1, 8 wards within the first paediatric hospital will be randomised to receive the eMM system 1 week apart. In stage 2, the second paediatric hospital will randomise implementation of a modified eMM and outcomes will be assessed. Prescribing errors will be identified through record reviews, and MAEs through direct observation of nurses and record reviews. Actual and potential severity will be assigned. Outcomes will be assessed at the patient-level using mixed models, taking into account correlation of admissions within wards and multiple admissions for the same patient, with adjustment for potential confounders. Interviews and direct observation of clinicians will investigate the effects of the system on workflow. Data from site 1 will be used to develop improvements in the eMM and implemented at site 2, where the SWCRCT design will be repeated (stage 2)., Ethics and Dissemination: The research has been approved by the Human Research Ethics Committee of the Sydney Children's Hospitals Network and Macquarie University. Results will be reported through academic journals and seminar and conference presentations., Trial Registration Number: Australian New Zealand Clinical Trials Registry (ANZCTR) 370325., Competing Interests: Conflicts of Interest: None declared., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

Background: Gout is an arthritic condition that is characterised by extremely painful, debilitating acute attacks and eventual joint and organ damage if not controlled. Despite the availability of very effective therapies that, if adhered to, will prevent acute attacks and long-term damage, the disorder is increasingly prevalent. There is an urgent need to improve self-management of gout., Objectives: Mobile health (mHealth) applications ('apps'), designed to facilitate management of chronic conditions, present novel opportunities for supporting patient self-management of gout. The aim of this review was to assess features of available gout management apps designed to assist consumers in managing their gout and their consistency with guidelines for gout management., Methods: English-language, smart-device apps designed to assist self-management of gout were identified using search term "gout" and downloaded from Apple and Google Play app stores. To be included in the review, apps had to allow users to monitor their gout disease (e.g. serum uric acid (sUA) tracking, record acute attacks) and/or educate patients about gout. Investigators derived patient-focused recommendations for gout management from contemporary guidelines. Features of reviewed apps were independently assessed by two reviewers for their facilitation of these recommendations., Results: The search identified 57 apps possibly relevant to gout management, of which six met the inclusion criteria. One app incorporated all recommendations for patient-focused gout management from guidelines including monitoring sUA, recording attacks and lifestyle advice. However, the majority of these elements were not functional within the app, and instead required users to manually complete printouts., Conclusions: Currently, only one app exists that includes all recommendations to facilitate patient self-management of gout, however some features can only be actioned manually. Given the lack of progress in achieving better patient outcomes and the promise of mHealth interventions to deliver significant gains, new or updated gout management apps are required to promote successful self-management of this chronic disease., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

Background: Limited studies have explored the actual usage of the 'after hours GP helpline' (AGPH)., Objective: The objectives of the article are to describe medication-related calls to the AGPH and compare callers' original intentions versus the advice provided by the general practitioner (GP)., Methods: We performed a detailed descriptive statistical analysis of medication-related queries received by the AGPH in 2014., Results: In 2014, 13,600 medication-related calls were made to the national AGPH. For 86.56% of calls, GPs advised callers to either self-care only, or self-care overnight and see their GP during business hours. Of the 1442 calls where the caller had originally intended to visit the emergency department (ED), 76.70% were advised by GPs to self-care, and only 5.48% were advised to call 000 or visit an ED. Overall, less than 2.26% of callers were directed to the ED, despite 10.60% of people originally calling with this intention., Discussion: The availability of an after-hours service potentially prevented 1363 people from unnecessarily attending an ED and directed 228 people who had originally underestimated the seriousness of their condition to an ED.

Objectives: To identify system-related risk factors perceived to contribute to prescribing errors in Australian long-term care settings, that is, residential aged care facilities (RACFs)., Design and Setting: The study used qualitative methods to explore factors that contribute to unsafe prescribing in RACFs. Data were collected at three RACFs in metropolitan Sydney, Australia between May and November 2011. Participants included RACF managers, doctors, pharmacists and RACF staff actively involved in prescribing-related processes. Methods included non-participant observations (74 h), in-depth semistructured interviews (n=25) and artefact analysis. Detailed process activity models were developed for observed prescribing episodes supplemented by triangulated analysis using content analysis methods., Results: System-related factors perceived to increase the risk of prescribing errors in RACFs were classified into three overarching themes: communication systems, team coordination and staff management. Factors associated with communication systems included limited point-of-care access to information, inadequate handovers, information storage across different media (paper, electronic and memory), poor legibility of charts, information double handling, multiple faxing of medication charts and reliance on manual chart reviews. Team factors included lack of established lines of responsibility, inadequate team communication and limited participation of doctors in multidisciplinary initiatives like medication advisory committee meetings. Factors related to staff management and workload included doctors' time constraints and their accessibility, lack of trained RACF staff and high RACF staff turnover., Conclusions: The study highlights several system-related factors including laborious methods for exchanging medication information, which often act together to contribute to prescribing errors. Multiple interventions (eg, technology systems, team communication protocols) are required to support the collaborative nature of RACF prescribing., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Objective: To review evidence of the effectiveness of information technology (IT) interventions to improve antimicrobial prescribing in hospitals., Method: MEDLINE (1950-March 2015), EMBASE (1947-March 2015) and PubMED (1966-March 2015) were searched for studies where an IT intervention involving any device (e.g. computer, mobile phone) was evaluated in practice. All papers were assessed for quality using a 10-point rating scale., Results: We identified 45 articles that evaluated an IT intervention to improve antimicrobial prescribing in hospitals. IT interventions took four main forms: (1) stand-alone computerized decision support systems (CDSSs), (2) decision support embedded within a hospital's electronic medical record (EMR) or computerized provider order entry (CPOE) system, (3) computerized antimicrobial approval systems (cAAS), and (4) surveillance systems (SSs). Results reported allowed us to perform meta-analyses for three outcome measures: appropriate use of antimicrobials, patient mortality and hospital length of stay (LOS). IT interventions increased appropriate use of antimicrobials (pooled RR: 1.49, 95%CI: 1.07-2.08); however no evidence of an effect was found when analysis included only studies with a quality score of five or above on the 10-point quality scale (pooled RR: 1.53, 95%CI: 0.96-2.44). There was little evidence of an effect of IT interventions on patient mortality or LOS. The range of study designs and outcome measures prevented meaningful comparisons between different IT intervention types to be made., Conclusion: IT interventions can improve the appropriateness of antimicrobial prescribing. However, high quality, systematic multi-site comparative studies are critically needed to assist organizations in making informed decisions about the most effective IT interventions., (Copyright © 2016. Published by Elsevier Ireland Ltd.)

Background: Medication is the most common intervention in health care, and written medication information can affect consumers' medication-related behavior. Research has shown that a large proportion of Australians search for medication information on the Internet., Objective: To evaluate the medication information content, based on consumer medication information needs, and usability of 4 Australian health websites: Better Health Channel, myDr, healthdirect, and NPS MedicineWise ., Methods: To assess website content, the most common consumer medication information needs were identified using (1) medication queries to the healthdirect helpline (a telephone helpline available across most of Australia) and (2) the most frequently used medications in Australia. The most frequently used medications were extracted from Australian government statistics on use of subsidized medicines in the community and the National Census of Medicines Use. Each website was assessed to determine whether it covered or partially covered information and advice about these medications. To assess website usability, 16 consumers participated in user testing wherein they were required to locate 2 pieces of medication information on each website. Brief semistructured interviews were also conducted with participants to gauge their opinions of the websites., Results: Information on prescription medication was more comprehensively covered on all websites (3 of 4 websites covered 100% of information) than nonprescription medication (websites covered 0%-67% of information). Most websites relied on consumer medicines information leaflets to convey prescription medication information to consumers. Information about prescription medication classes was less comprehensive, with no website providing all information examined about antibiotics and antidepressants. Participants (n=16) were able to locate medication information on websites in most cases (accuracy ranged from 84% to 91%). However, a number of usability issues relating to website navigation and information display were identified. For example, websites not allowing combinations of search terms to be entered in search boxes and continuous blocks of text without subheadings., Conclusions: Of the 4 Australian health information websites tested, none provided consumers with comprehensive medication information on both prescription and nonprescription medications in a user-friendly way. Using data on consumer information needs and user testing to guide medication information content and website design is a useful approach to inform consumer website development.

International guidelines and consensus groups recommend using a risk assessment tool (RAT) to assess Venous Thromboembolism (VTE) risk prior to the prescription of prophylaxis. We set out to examine how an electronic RAT was being used (i.e. if by the right clinician, at the right time, for the right purpose) and to identify factors influencing utilization of the RAT. A sample of 112 risk assessments was audited and 12 prescribers were interviewed. The RAT was used as intended in only 40 (35.7%) cases (i.e. completed by a doctor within 24 h of admission, prior to the prescription of prophylaxis). We identified several reasons for sub-optimal use of the RAT, including beliefs about the need for a RAT, poor awareness of the tool, and poor RAT design. If a user-centred approach had been adopted, it is likely that a RAT would not have been implemented or that problematic design issues would have been identified., (Copyright © 2016 Elsevier Ltd and The Ergonomics Society. All rights reserved.)

Background: Patients admitted to hospital on weekends have a greater risk of mortality compared to patients admitted on weekdays. Junior medical officers (JMO) make up the majority of medical staff on weekends. No previous study has quantified JMO work patterns on weekends., Aim: To describe and quantify JMO work patterns on weekends and compare them with patterns previously observed during the week., Methods: Observational time and motion study of JMO working weekends using the Work Observation Method by Activity Timing (WOMBAT; Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia) software. Descriptive statistics were used to determine the proportion of total observed time spent in tasks., Results: Weekend JMO predominately spent time in indirect care (32.0%), direct care (23.0%) and professional communication (22.1%). JMO spent 20.9% of time multitasking and were interrupted, on average, every 9 min. Weekend JMO spent significantly more time in direct care compared with weekdays (13.0%; P < 0.001) and nights (14.3%; P < 0.001). Weekend JMO spent significantly less time on breaks (8.5%), with less than 1 h in an 11-h shift, compared with JMO during weekdays (16.4%; P = 0.004) and nights (27.6%; P = <0.001). Weekend JMO were interrupted at a higher rate (6.6/h) than on weekdays (rate ratio (RR) 2.9, 95% confidence intervals (CI) 2.6, 3.3) or nights (RR 5.1, 95% CI 4.2, 6.1). Multitasking on weekends (20.9%) was comparable to weekdays (18.9%; P = 0.19) but significantly higher than nights (6.4%; P = <0.001)., Conclusion: On weekends, JMO had few breaks, were interrupted frequently and engaged in high levels of multitasking. This pattern of JMO work could be a potential contributing factor to the weekend effect in terms of JMO abilities to respond safely and adequately to care demands., (© 2016 Royal Australasian College of Physicians.)

Objective: To explore the understanding of gout and its management by patients and general practitioners (GP), and to identify barriers to optimal gout care., Methods: Semistructured interviews were conducted with 15 GP and 22 patients in Sydney, Australia. Discussions were focused on medication adherence, experiences with gout, and education and perceptions around interventions for gout. Interviews were audio recorded, transcribed verbatim, and analyzed for themes using an analytical framework., Results: Adherence to urate-lowering medications was identified as problematic by GP, but less so by patients with gout. However, patients had little appreciation of the risk of acute attacks related to variable adherence. Patients felt stigmatized that their gout diagnosis was predominantly related to perceptions that alcohol and dietary excess were causal. Patients felt they did not have enough education about gout and how to manage it. A manifestation of this was that uric acid concentrations were infrequently measured. GP were concerned that they did not know enough about managing gout and most were not familiar with current guidelines for management. For example and importantly, the strategies for reducing the risk of acute attacks when commencing urate-lowering therapy (ULT) were not well appreciated by GP or patients., Conclusion: Patients and GP wished to know more about gout and its management. Greater success in establishing and maintaining ULT will require further and better education to substantially benefit patients. Also, given the prevalence, and personal and societal significance of gout, innovative approaches to transforming the management of this eminently treatable disease are needed.

Objectives: To examine if human factors methods were applied in the design, development, and evaluation of mobile applications developed to facilitate aspects of patient-centered care coordination., Methods: We searched MEDLINE and EMBASE (2013-2014) for studies describing the design or the evaluation of a mobile health application that aimed to support patients' active involvement in the coordination of their care., Results: 34 papers met the inclusion criteria. Applications ranged from tools that supported self-management of specific conditions (e.g. asthma) to tools that provided coaching or education. Twelve of the 15 papers describing the design or development of an app reported the use of a human factors approach. The most frequently used methods were interviews and surveys, which often included an exploration of participants' current use of information technology. Sixteen papers described the evaluation of a patient application in practice. All of them adopted a human factors approach, typically an examination of the use of app features and/or surveys or interviews which enquired about patients' views of the effects of using the app on their behaviors (e.g. medication adherence), knowledge, and relationships with healthcare providers. No study in our review assessed the impact of mobile applications on health outcomes., Conclusion: The potential of mobile health applications to assist patients to more actively engage in the management of their care has resulted in a large number of applications being developed. Our review showed that human factors approaches are nearly always adopted to some extent in the design, development, and evaluation of mobile applications.

Background: Drug-drug interactions (DDIs) are an important and preventable cause of medication errors in hospitals. Recent developments in technology have seen new strategies emerge for preventing DDIs but these computerized strategies are rarely evaluated and are typically implemented with little input from the individuals using them., Aim: To determine the opinions of both experts and users (prescribers) on computerized strategies available to assist in the identification and prevention of DDIs in hospitals., Method: Eight drug safety experts and 18 prescribers took part in semi-structured interviews. Participants were asked about their confidence in identifying DDIs and their views on potential computerized strategies to prevent DDIs., Results: No prescribers reported complete confidence in identifying dangerous DDIs, with junior prescribers appearing less confident than senior prescribers. Most prescribers believed that computerized alerts would be the most effective strategy for preventing DDIs, while experts were more critical of alerts., Conclusion: The lack of confidence displayed by prescribers in their ability to identify DDIs suggests that an appropriate strategy would be one that does not rely on individuals seeking out the information themselves. While a large number of problems related to DDI alert implementation have been reported in the literature (e.g. alert overload), prescribers appeared to be receptive to the idea of being alerted. By ensuring users are aware of the limitations of the system and involving them in DDI strategy design we expect greater use and satisfaction with the adopted strategy., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Background: An emphasis on renal function in deciding maintenance doses of allopurinol to prevent allopurinol hypersensitivity has resulted in ineffective prevention of attacks of gout. New therapeutic guidelines for gout have shifted the focus back to titrating maintenance doses to reach a serum uric acid (SUA) concentration target of ≤ 0.36 mmol/L., Aims: To examine trends in the prescribing of allopurinol in a teaching hospital and their concordance with the new guidelines for gout management, and to explore prescribers' approaches and attitudes to the use of allopurinol., Methods: An audit was conducted of all inpatients prescribed allopurinol at a teaching hospital between January 2008 and December 2012. Allopurinol dose, SUA, serum creatinine concentrations and estimated glomerular filtration rates were extracted from the hospital databases. Doctors from medical units who regularly prescribed allopurinol were interviewed., Results: The allopurinol dose prescribed in gout patients most commonly was a continuation of the pre-admission dosage. Dosage change during admission was rarely observed. Dosages reflected a consideration of renal function. SUA concentrations were measured in only 21% (n = 269) of gout patients. Prescriber interviews (n = 12) reflected adequate knowledge regarding allopurinol use, but most maintained that the primary care setting was more suitable for the management of dose titration in gout., Conclusions: SUA concentrations were not routinely measured in the majority of admitted gout patients taking allopurinol. Without SUA measurements and allopurinol dose titration, patients with SUA > 0.36 mmol/L are at increased risk for acute attacks of gout in hospital., (© 2015 Royal Australasian College of Physicians.)

Objectives: To (i) compare medication errors identified at audit and observation with medication incident reports; (ii) identify differences between two hospitals in incident report frequency and medication error rates; (iii) identify prescribing error detection rates by staff., Design: Audit of 3291 patient records at two hospitals to identify prescribing errors and evidence of their detection by staff. Medication administration errors were identified from a direct observational study of 180 nurses administering 7451 medications. Severity of errors was classified. Those likely to lead to patient harm were categorized as 'clinically important'., Setting: Two major academic teaching hospitals in Sydney, Australia., Main Outcome Measures: Rates of medication errors identified from audit and from direct observation were compared with reported medication incident reports., Results: A total of 12 567 prescribing errors were identified at audit. Of these 1.2/1000 errors (95% CI: 0.6-1.8) had incident reports. Clinically important prescribing errors (n = 539) were detected by staff at a rate of 218.9/1000 (95% CI: 184.0-253.8), but only 13.0/1000 (95% CI: 3.4-22.5) were reported. 78.1% (n = 421) of clinically important prescribing errors were not detected. A total of 2043 drug administrations (27.4%; 95% CI: 26.4-28.4%) contained ≥ 1 errors; none had an incident report. Hospital A had a higher frequency of incident reports than Hospital B, but a lower rate of errors at audit., Conclusions: Prescribing errors with the potential to cause harm frequently go undetected. Reported incidents do not reflect the profile of medication errors which occur in hospitals or the underlying rates. This demonstrates the inaccuracy of using incident frequency to compare patient risk or quality performance within or across hospitals. New approaches including data mining of electronic clinical information systems are required to support more effective medication error detection and mitigation., (© The Author 2015. Published by Oxford University Press in association with the International Society for Quality in Health Care.)

Background: Previous work has examined the impact of technology on information sharing and communication between doctors and patients in general practice consultations, but very few studies have explored this in hospital settings., Aims: To assess if, and how, senior clinicians use an iPad to share information (e.g. patient test results) with patients during ward rounds and to explore patients' and doctors' experiences of information sharing events., Methods: Ten senior doctors were shadowed on ward rounds on general wards during interactions with 525 patients over 77.3 h, seven senior doctors were interviewed and 180 patients completed a short survey., Results: Doctors reported that information sharing with patients is critical to the delivery of high-quality healthcare, but were not seen to use the iPad to share information with patients on ward rounds. Patients did not think the iPad had impacted on their engagement with doctors on rounds. Ward rounds were observed to follow set routines and patient interactions were brief., Conclusions: Although the iPad potentially creates new opportunities for information sharing and patient engagement, the ward round may not present the most appropriate context for this to be done., (© 2014 The Authors; Internal Medicine Journal © 2014 Royal Australasian College of Physicians.)

Much clinical information is computerised and doctors' use of mobile devices such as iPad tablets to access this information is expanding rapidly. This study investigated the use of iPads during ward rounds and their usefulness in providing access to information during ward rounds. Ten teams of doctors at a large teaching hospital were given iPads for ten weeks and were observed on ward rounds for 77.3 hours as they interacted with 525 patients. Use of iPads and other information technology devices to access clinical information was recorded. The majority of clinical information was accessed using iPads (56.2%), followed by computers-on-wheels (35.8%), stationary PCs (7.9%) and smartphones (0.1%). Despite having read-only access on iPads, doctors were generally happy using iPads on ward rounds. These findings provide evidence of the value of iPads as a tool to access information at the point of care.

Most studies evaluating the effect of computerised alerts embedded in electronic medication management systems (eMMS) on prescribing behavior demonstrate positive and often substantial effects. But many studies also report that doctors override computerised alerts, sometimes up to 95% of the time. Alert fatigue, due to excessive numbers of alerts being presented, is the primary reason for alerts being overridden. This paper summarises and sythesises a program of research undertaken to determine whether doctors working in a teaching hospital in Sydney, Australia, were experiencing alert fatigue, and to identify and implement strategies for alleviating alert fatigue. We synthesise several published studies adopting a variety of data collection methods (observation of prescribers as they interact with the eMMS, interviews with users, review of alerts generated in eMMS, and a Delphi technique) to present four key lessons learnt. These are: 1) the fewer alerts the better; 2) context of use matters; 3) people use systems in unexpected ways; and 4) user feedback is invaluable.

Background: There is now little doubt that improving antimicrobial use is necessary for the containment of resistance., Objective: To determine whether providing individualised feedback to doctors about their recent compliance with the hospital's antibiotic policy improves compliance with the policy., Methods: This study was conducted at a teaching hospital in Sydney, Australia. Computerised alerts integrated into the electronic prescribing system (ePS) inform prescribers of the local antibiotic policy. We utilised prescribing data extracted from the ePS for 'audit and feedback'. Thirty-six prescribers were sent feedback letters via email. We also interviewed doctors who had received letters to explore their views of the feedback and the policy in general., Results: There was no significant change in compliance with the policy following implementation of the feedback intervention (0% compliant vs 11.9%; p = 0.07). Several problems with the policy and the approval process were identified by researchers during auditing and by prescribers during interviews. Some problems identified made it difficult to accurately assess compliance and for doctors to comply with the policy., Conclusion: Our intervention did not result in improved compliance with the antibiotic policy but revealed practical problems with the policy and approval process that had not been identified prior to the trial. Greater support for the policy by senior doctors and the assignment of more clearly defined roles and responsibilities associated with antibiotic use and approval may result in improved compliance. Harnessing the full potential of technology would streamline the antimicrobial approval process and allow more efficient and reliable monitoring of antibiotic use and compliance. Many of the problems we identified are generic issues of importance to all organisations seeking to integrate antimicrobial stewardship into ePS.

Background: It is imperative to understand the current work practices of hospital personnel to inform efforts and secure resources towards the improvement of hospital systems. Research examining doctors' work during night-shifts is limited., Aim: To describe and quantify the night-shift work practices of junior doctors., Methods: An observational time and motion study was conducted. Eight resident doctors in four general wards were observed for 96 h during night shifts (Monday-Friday, 2200-0800)., Results: Doctors spent the highest proportion (28%; 95% CI 21-35) of their time performing social/personal tasks (e.g. sleeping, eating) and indirect care (24%; 95% CI 22-25) (e.g. reviewing notes, ordering tests). Work-related discussion comprised 15% (95% CI 13-17), and most took place at the beginning of the night. Medication-related tasks consumed a small proportion of time (4%; 95% CI 3-4) but attracted a higher level of multitasking and interruptions than most other tasks. On average, 2 h of every shift were spent at a computer and 1.3 h with patient notes. Doctors spent 72% of the night-shift alone, multitasked 6.4% of the time and were interrupted, on average, once every 46 min., Conclusions: This study provides new data about junior doctors' work at night. Relative to doctors during the day, greater proportions of time were devoted to social/personal tasks (including sleep) and indirect care, but a similar proportion to direct care. Multitasking and interruptions were minimal. Computer activities were an integral part of work. Handovers were observed at the beginning but not the completion of the night shift, which may have implications for patient safety., (© 2013 The Authors; Internal Medicine Journal © 2013 Royal Australasian College of Physicians.)

Objectives: To compare the manifestations, mechanisms, and rates of system-related errors associated with two electronic prescribing systems (e-PS). To determine if the rate of system-related prescribing errors is greater than the rate of errors prevented., Methods: Audit of 629 inpatient admissions at two hospitals in Sydney, Australia using the CSC MedChart and Cerner Millennium e-PS. System related errors were classified by manifestation (eg, wrong dose), mechanism, and severity. A mechanism typology comprised errors made: selecting items from drop-down menus; constructing orders; editing orders; or failing to complete new e-PS tasks. Proportions and rates of errors by manifestation, mechanism, and e-PS were calculated., Results: 42.4% (n=493) of 1164 prescribing errors were system-related (78/100 admissions). This result did not differ by e-PS (MedChart 42.6% (95% CI 39.1 to 46.1); Cerner 41.9% (37.1 to 46.8)). For 13.4% (n=66) of system-related errors there was evidence that the error was detected prior to study audit. 27.4% (n=135) of system-related errors manifested as timing errors and 22.5% (n=111) wrong drug strength errors. Selection errors accounted for 43.4% (34.2/100 admissions), editing errors 21.1% (16.5/100 admissions), and failure to complete new e-PS tasks 32.0% (32.0/100 admissions). MedChart generated more selection errors (OR=4.17; p=0.00002) but fewer new task failures (OR=0.37; p=0.003) relative to the Cerner e-PS. The two systems prevented significantly more errors than they generated (220/100 admissions (95% CI 180 to 261) vs 78 (95% CI 66 to 91))., Conclusions: System-related errors are frequent, yet few are detected. e-PS require new tasks of prescribers, creating additional cognitive load and error opportunities. Dual classification, by manifestation and mechanism, allowed identification of design features which increase risk and potential solutions. e-PS designs with fewer drop-down menu selections may reduce error risk.

Background and Objective: computerized provider order entry (CPOE) systems with integrated decision support (DS) can reduce prescribing errors, but their impact may vary depending on the clinical setting. This study aimed to assess the impact of partial implementation of CPOE on junior doctors' prescribing work after-hours and to examine differences in junior doctors' use of DS during transcribing and their own prescribing tasks., Methods: Twelve junior doctors at a 350-bed teaching hospital in Sydney, Australia were shadowed between 16:30 and 22:30 over eight weeks for 65 h. CPOE was available on all wards except for the emergency department (ED). All medication tasks, computerized alerts, prescriber responses, and uses of reference material were recorded., Results: Of 306 medication orders entered into the CPOE, 78.4% were transcribed from paper ED charts. A total of 113 alerts were triggered, most (78%) were read but only 6 (5%) resulted in prescribers changing an order. Reference material was accessed three times more frequently when junior doctors made their own prescribing decisions than when they transcribed other doctors' orders, but a similar proportion of alerts was read during decision-making and transcribing tasks., Conclusion: Junior doctors spent most of their after-hours prescribing time transcribing other doctors' orders. This is a new task brought about by partial CPOE implementation. Junior doctors read computerized alerts and used online reference material to support their decision-making. However they rarely made changes to a medication order following alert generation, suggesting the alert information was often not clinically relevant., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Objective: To reach consensus among prescribers of different specialties and experience on the usefulness of computerised alerts and strategies for reducing low-value alerts within a commercial electronic prescribing system., Method: We conducted a Delphi technique where participants were sent a 10-question survey in rounds 1 and 2 to rate the usefulness of existing alert types and to indicate if 1) therapeutic duplication alerts should be adjusted so that they fired only when both medication orders were active; 2) local messages should be changed to hyperlinks rather than alerts. Forty-seven prescribers completed round 1 and 21 round 2., Results and Discussion: Prescribers varied in their views on alerts of little value but agreed allergy and intolerance alerts should be retained. Most prescribers indicated that the proposed strategies for reducing local messages and duplication alerts would not compromise patient safety. Involving users in customization of alerts proved to be a successful approach.

With these comments on the paper "Attitude of Physicians Towards Automatic Alerting in Computerized Physician Order Entry Systems", written by Martin Jung and co-authors, with Dr. Elske Ammenwerth as senior author [1], the journal wants to stimulate a broad discussion on computerized physician order entry systems. An international group of experts have been invited by the editor of Methods to comment on this paper. Each of the invited commentaries forms one section of this paper.

Background: Considerable investments are being made in commercial electronic prescribing systems (e-prescribing) in many countries. Few studies have measured or evaluated their effectiveness at reducing prescribing error rates, and interactions between system design and errors are not well understood, despite increasing concerns regarding new errors associated with system use. This study evaluated the effectiveness of two commercial e-prescribing systems in reducing prescribing error rates and their propensities for introducing new types of error., Methods and Results: We conducted a before and after study involving medication chart audit of 3,291 admissions (1,923 at baseline and 1,368 post e-prescribing system) at two Australian teaching hospitals. In Hospital A, the Cerner Millennium e-prescribing system was implemented on one ward, and three wards, which did not receive the e-prescribing system, acted as controls. In Hospital B, the iSoft MedChart system was implemented on two wards and we compared before and after error rates. Procedural (e.g., unclear and incomplete prescribing orders) and clinical (e.g., wrong dose, wrong drug) errors were identified. Prescribing error rates per admission and per 100 patient days; rates of serious errors (5-point severity scale, those ≥3 were categorised as serious) by hospital and study period; and rates and categories of postintervention "system-related" errors (where system functionality or design contributed to the error) were calculated. Use of an e-prescribing system was associated with a statistically significant reduction in error rates in all three intervention wards (respectively reductions of 66.1% [95% CI 53.9%-78.3%]; 57.5% [33.8%-81.2%]; and 60.5% [48.5%-72.4%]). The use of the system resulted in a decline in errors at Hospital A from 6.25 per admission (95% CI 5.23-7.28) to 2.12 (95% CI 1.71-2.54; p<0.0001) and at Hospital B from 3.62 (95% CI 3.30-3.93) to 1.46 (95% CI 1.20-1.73; p<0.0001). This decrease was driven by a large reduction in unclear, illegal, and incomplete orders. The Hospital A control wards experienced no significant change (respectively -12.8% [95% CI -41.1% to 15.5%]; -11.3% [-40.1% to 17.5%]; -20.1% [-52.2% to 12.4%]). There was limited change in clinical error rates, but serious errors decreased by 44% (0.25 per admission to 0.14; p = 0.0002) across the intervention wards compared to the control wards (17% reduction; 0.30-0.25; p = 0.40). Both hospitals experienced system-related errors (0.73 and 0.51 per admission), which accounted for 35% of postsystem errors in the intervention wards; each system was associated with different types of system-related errors., Conclusions: Implementation of these commercial e-prescribing systems resulted in statistically significant reductions in prescribing error rates. Reductions in clinical errors were limited in the absence of substantial decision support, but a statistically significant decline in serious errors was observed. System-related errors require close attention as they are frequent, but are potentially remediable by system redesign and user training. Limitations included a lack of control wards at Hospital B and an inability to randomize wards to the intervention.

Resistance to adoption has been identified as one of the major barriers to successful implementation of technological systems in hospitals. Acceptance of an electronic prescribing (e-prescribing) system is expected to occur if prescribers perceive a need for e-prescribing systems to reduce prescribing errors. We set out to examine doctors' perceptions of their prescribing competency and to identify perceived advantages and disadvantages of using an e-prescribing system, with the objective of determining the value doctors ascribed to the e-prescribing system. This study was conducted at a teaching hospital in Sydney, Australia. Sixteen prescribers participated in a 20-minute semi-structured interview where they were asked to comment on prescribing errors (their own errors and errors they believed to be common) and advantages and disadvantages of the e-prescribing system. Prescribers held the view that they rarely made prescribing errors. Although users recognised advantages and disadvantages of using the e-prescribing system, most preferred paper to electronic prescribing. Prescribers most likely overestimated their prescribing competency and so failed to see the value of an e-prescribing system to reduce prescribing errors. E-prescribing system implementation is a challenging task for any hospital. These results suggest that keeping prescribers informed about their prescribing errors and the quality improvement benefits of e-prescribing may lead to greater acceptance of and satisfaction with an e-prescribing system.

We describe the implementation of an electronic medication management system (eMMS) in an Australian teaching hospital, to inform future similar exercises. The success of eMMS implementation depends on: a positive workplace culture (leadership, teamwork and clinician ownership); acceptance of the major impact on work practices by all staff; timely system response to user feedback; training and support for clinicians; a usable system; adequate decision support.

Forty rail safety investigation reports were reviewed and a theoretical framework (the Human Factors Analysis and Classification System; HFACS) adopted as a means of identifying errors associated with rail accidents/incidents in Australia. Overall, HFACS proved useful in categorising errors from existing investigation reports and in capturing the full range of relevant rail human factors data. It was revealed that nearly half the incidents resulted from an equipment failure, most of these the product of inadequate maintenance or monitoring programs. In the remaining cases, slips of attention (i.e. skilled-based errors), associated with decreased alertness and physical fatigue, were the most common unsafe acts leading to accidents and incidents. Inadequate equipment design (e.g. driver safety systems) was frequently identified as an organisational influence and possibly contributed to the relatively large number of incidents/accidents resulting from attention failures. Nearly all incidents were associated with at least one organisational influence, suggesting that improvements to resource management, organisational climate and organisational processes are critical for Australian accident and incident reduction. Future work will aim to modify HFACS to generate a rail-specific framework for future error identification, accident analysis and accident investigation.

This study examined the effect of ambient temperature (AT) on the relationship between activity and weight loss. Compared with a neutral AT of 21 degrees C, high ATs of 27-29 degrees C produced a slower rate of weight loss in rats given 1.5-hr food access and 22.5-hr running-wheel access in a standard activity-based anorexia (ABA) procedure (Experiments 1 and 2). The high AT did not affect food intake or wheel running in Experiment 1, but did reduce running in Experiment 2. Switching from neutral to high AT had only a transient effect on weight loss when wheel access was maintained (Experiment 2) but resulted in less weight loss when wheel access was prevented (Experiment 3). Giving rats only 3 hr of wheel access each day at a neutral AT also produced substantial weight loss, but less if for the rest of each day they were maintained at a high AT (Experiment 4).