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Background: General practitioners (GP) and community pharmacists need information about hospital discharge patients' medicines to continue their management in the community. This necessitates effective communication, collaboration, and reliable information-sharing. However, such handover is inconsistent, and whilst digital systems are in place to transfer information at transitions of care, these systems are passive and clinicians are not prompted about patients' transitions. There are also gaps in communication between community pharmacists and GPs. These issues impact patient safety, leading to hospital readmissions and increased healthcare costs. Methods: A three-phased, multi-method study design is planned to trial a multifaceted intervention to reduce 30-day hospital readmissions. Phase 1 is the co-design of the intervention with stakeholders and end-users; phase 2 is the development of the intervention; phase 3 is a stepped wedge cluster randomised controlled trial with 20 clusters (community pharmacies). Expected intervention components will be a hospital pharmacist navigator, primary care medication management review services, and a digital solution for information sharing. Phase 3 will recruit 10 patients per pharmacy cluster/month to achieve a sample size of 2200 patients powered to detect a 5% absolute reduction in unplanned readmissions from 10% in the control group to 5% in the intervention at 30 days. The randomisation and intervention will occur at the level of the patient's nominated community pharmacy. Primary analysis will be a comparison of 30-day medication-related hospital readmissions between intervention and control clusters using a mixed effects Poisson regression model with a random effect for cluster (pharmacy) and a fixed effect for each step to account for secular trends. Trial registration: This trial is registered with the Australian New Zealand Clinical Trials Registry: ACTRN12624000480583p, registered 19 April 2024. [ABSTRACT FROM AUTHOR]

Background: General practitioners (GP) and community pharmacists need information about hospital discharge patients' medicines to continue their management in the community. This necessitates effective communication, collaboration, and reliable information-sharing. However, such handover is inconsistent, and whilst digital systems are in place to transfer information at transitions of care, these systems are passive and clinicians are not prompted about patients' transitions. There are also gaps in communication between community pharmacists and GPs. These issues impact patient safety, leading to hospital readmissions and increased healthcare costs. Methods: A three-phased, multi-method study design is planned to trial a multifaceted intervention to reduce 30-day hospital readmissions. Phase 1 is the co-design of the intervention with stakeholders and end-users; phase 2 is the development of the intervention; phase 3 is a stepped wedge cluster randomised controlled trial with 20 clusters (community pharmacies). Expected intervention components will be a hospital pharmacist navigator, primary care medication management review services, and a digital solution for information sharing. Phase 3 will recruit 10 patients per pharmacy cluster/month to achieve a sample size of 2200 patients powered to detect a 5% absolute reduction in unplanned readmissions from 10% in the control group to 5% in the intervention at 30 days. The randomisation and intervention will occur at the level of the patient's nominated community pharmacy. Primary analysis will be a comparison of 30-day medication-related hospital readmissions between intervention and control clusters using a mixed effects Poisson regression model with a random effect for cluster (pharmacy) and a fixed effect for each step to account for secular trends. Trial registration: This trial is registered with the Australian New Zealand Clinical Trials Registry: ACTRN12624000480583p, registered 19 April 2024. [ABSTRACT FROM AUTHOR]

Background: Electronic medical record (EMR) systems provide timely access to clinical information and have been shown to improve medication safety. However, EMRs can also create opportunities for error, including system-related errors or errors that were unlikely or not possible with the use of paper medication charts. This study aimed to determine the detection and mitigation strategies adopted by a health district in Australia to target system-related errors and to explore stakeholder views on strategies needed to curb future system-related errors from emerging. Methods: A qualitative descriptive study design was used comprising semi-structured interviews. Data were collected from three hospitals within a health district in Sydney, Australia, between September 2020 and May 2021. Interviews were conducted with EMR users and other key stakeholders (e.g. clinical informatics team members). Participants were asked to reflect on how system-related errors changed over time, and to describe approaches taken by their organisation to detect and mitigate these errors. Thematic analysis was conducted iteratively using a general inductive approach, where codes were assigned as themes emerged from the data. Results: Interviews were conducted with 25 stakeholders. Participants reported that most system-related errors were detected by front-line clinicians. Following error detection, clinicians either reported system-related errors directly to the clinical informatics team or submitted reports to the incident information management system. System-related errors were also reported to be detected via reports run within the EMR, or during organisational processes such as incident investigations or system enhancement projects. EMR redesign was the main approach described by participants for mitigating system-related errors, however other strategies, like regular user education and minimising the use of hybrid systems, were also reported. Conclusions: Initial detection of system-related errors relies heavily on front-line clinicians, however other organisational strategies that are proactive and layered can improve the systemic detection, investigation, and management of errors. Together with EMR design changes, complementary error mitigation strategies, including targeted staff education, can support safe EMR use and development. [ABSTRACT FROM AUTHOR]

Patient portals can support care delivery and have demonstrated mixed impacts on patients, clinicians and health services. These variable impacts are primarily due to barriers to uptake and challenges associated with successfully implementing patient portals. As little is currently known about how implementation barriers can be addressed in practice, this project used an action research approach to evaluate and optimise the implementation of a patient portal in a real-world setting. Whilst the study is ongoing, the preliminary findings are reported in this paper, along with plans to use the findings to improve the portal in the next round of the action research cycle. [ABSTRACT FROM AUTHOR]

The “Emergency Department Pathology Order Support Tool” (EDPOST) is an electronic laboratory test ordering decision support tool that aims to decrease variation in test ordering practices. As part of a larger project on the codesign, development, and evaluation of ED-POST, this study aimed to explore the workflow nuances that might affect the intended use of the digital decision support tool. Semi-structured, in-depth interviews were conducted with 15 ED clinicians involved in the laboratory test ordering process across the development and evaluation phases of ED-POST. Participants identified the expanded role of registered nurses in test ordering and the practice of ordering tests that are outside the ED’s scope as contextual characteristics that can affect the use and perceived utility of the proposed ED-POST tool. Reconciling “work-as-imagined” with “work-as-done” in the design and development of electronic interventions is important in achieving interventions to improve the safe and effective use of pathology tests. [ABSTRACT FROM AUTHOR]

Introduction: Drug–drug interactions (DDIs) have potential to cause patient harm, including lowering therapeutic efficacy. This study aimed to (i) determine the prevalence of potential DDIs (pDDIs); clinically relevant DDIs (cDDIs), that is, DDIs that could lead to patient harm, taking into account a patient's individual clinical profile, drug effects and severity of potential harmful outcome; and subsequent actual harm among hospitalized patients and (ii) examine the impact of transitioning from paper-based medication charts to electronic medication management (eMM) on DDIs and patient harms. Methods: This was a secondary analysis of the control arm of a controlled pre-post study. Patients were randomly selected from three Australian hospitals. Retrospective chart review was conducted before and after the implementation of an eMM system, without accompanying clinical decision support alerts for DDIs. Harm was assessed by an expert panel. Results: Of 1186 patient admissions, 70.1% (n = 831) experienced a pDDI, 42.6% (n = 505) a cDDI and 0.9% (n = 11) an actual harm in hospital. Of 15,860 pDDIs identified, 27.0% (n = 4285) were classified as cDDIs. The median number of pDDIs and cDDIs per 10 drugs were 6 [interquartile range (IQR) 2–13] and 0 (IQR 0–2), respectively. In cases where a cDDI was identified, both drugs were 44% less likely to be co-administered following eMM (adjusted odds ratio 0.56, 95% confidence interval 0.46–0.73). Conclusion: Although most patients experienced a pDDI during their hospital stay, less than one-third of pDDIs were clinically relevant. The low prevalence of harm identified raises questions about the value of incorporating DDI decision support into systems given the potential negative impacts of DDI alerts. [ABSTRACT FROM AUTHOR]

Background: Sodium‐glucose cotransporter 2 inhibitors (SGLT2i) are now indicated for heart failure and chronic kidney disease (CKD), irrespective of the presence of diabetes. Hence, cardiologists and nephrologists have an important role in initiating these drugs. Aims: To explore cardiologists' and nephrologists' perspectives regarding initiating SGLT2i and their safety monitoring practices when initiating SGLT2i. Methods: Purposive and snowball approaches were used to recruit participants working in diverse areas in New South Wales, Australia. Semi‐structured interviews were conducted with 12 cardiologists and 12 nephrologists. Interviews were conducted until thematic saturation was reached. Emergent themes were identified from transcripts. An iterative general inductive approach was used for data analysis. Results: There was a reluctance amongst most non‐heart‐failure subspecialist cardiologists to initiate SGLT2i. Reasons included the perception of SGLT2i as diabetes drugs, concern about side effects, lack of experience and issues with follow‐up. In contrast, nephrologists reported feeling confident to initiate SGLT2i. Nephrologists varied in their opinions about the severity of CKD at which SGLT2i initiation was reasonable and monitoring of renal function following initiation. Government subsidisation was an important factor in the decision to prescribe SGLT2i to people without diabetes. Conclusions: Our findings highlight the complex transition from the perception of SGLT2i as diabetes drugs to cardiometabolic and reno‐protective agents. Interdisciplinary collaboration may enable greater confidence amongst specialists to initiate SGLT2i, including in patients with CKD. Additionally, there is a need for clear and detailed guidance about SGLT2i prescription in patients with renal dysfunction and renal function monitoring following SGLT2i initiation. [ABSTRACT FROM AUTHOR]

Aims: We aim to examine and understand the work processes of antimicrobial stewardship (AMS) teams across 2 hospitals that use the same digital intervention, and to identify the barriers and enablers to effective AMS in each setting. Methods: Employing a contextual inquiry approach informed by the Systems Engineering Initiative for Patient Safety (SEIPS) model, observations and semistructured interviews were conducted with AMS team members (n = 15) in 2 Australian hospitals. Qualitative data analysis was conducted, mapping themes to the SEIPS framework. Results: Both hospitals utilized similar systems, however, they displayed variations in AMS processes, particularly in postprescription review, interdepartmental AMS meetings and the utilization of digital tools. An antimicrobial dashboard was available at both hospitals but was utilized more at the hospital where the AMS team members were involved in the dashboard's development, and there were user champions. At the hospital where the dashboard was utilized less, participants were unaware of key features, and interoperability issues were observed. Establishing strong relationships between the AMS team and prescribers emerged as key to effective AMS at both hospitals. However, organizational and cultural differences were found, with 1 hospital reporting insufficient support from executive leadership, increased prescriber autonomy and resource constraints. Conclusion: Organizational and cultural elements, such as executive support, resource allocation and interdepartmental relationships, played a crucial role in achieving AMS goals. System interoperability and user champions further promoted the adoption of digital tools, potentially improving AMS outcomes through increased user engagement and acceptance. [ABSTRACT FROM AUTHOR]

The pandemic necessitated the rapid design, development and implementation of technologies to allow remote monitoring of COVID-19 patients at home. This study aimed to explore the environmental barriers and facilitators to the successful development and implementation of virtual care technologies in this fast-paced context. We interviewed eight staff at a virtual hospital in Australia. We found key facilitators to be a learning organizational culture and strong leadership support. Barriers included interoperability issues, legislative constraints and unrealistic clinician expectations. Also, we found that a combination of hot-desking and the lack of single sign on in the virtual care environment, was reported to create additional work for staff. Overall, despite this unique context, our findings are consistent with prior work examining design and implementation of healthcare technologies. The fast pace and high-pressure environment appeared to magnify previously reported barriers, but also cultivate and foster a learning culture. [ABSTRACT FROM AUTHOR]

Clinical decision support systems (CDSS) can enhance the safety and quality of patient care, but their benefits are often hampered by low acceptance and use by clinicians in practice. Existing research has explored clinicians' experiences with CDSS in a static nature, with limited consideration of how user needs may change over time. This review aimed to identify the methods used to capture clinicians' acceptance and use of CDSS in hospital settings at different time points following implementation and highlight gaps to inform future work. Seventy-six studies met inclusion criteria. Qualitative methods were rarely used during the early implementation phases, particularly in the first 2 months following implementation. Further work is needed to understand clinicians' experiences immediately following implementation of CDSS and how these insights can be used to support use over time. [ABSTRACT FROM AUTHOR]

Electronic medication management systems (EMMS) have been implemented in most acute care settings in Australia to reduce medication error rates. One of the key challenges related to the introduction of EMMS in hospitals is the uptake of informal “workarounds” by clinicians, including nurses. In this study, we aimed to examine one workaround in depth, nurses not documenting medication administration in the EMMS at the time of administration. We conducted a review of incident reports to identify the factors that contribute to this workaround occurring and the consequences or potential consequences of this workaround on patients. We identified a range of contributing factors, with factors relating to the user (e.g. nurses being time poor) occurring most frequently in incident reports. The most frequently seen consequence of this workaround was the patient receiving an additional dose. This research revealed that strategies to reduce the uptake of this workaround should consider user and organisational factors rather than just EMMS design alone. [ABSTRACT FROM AUTHOR]

Antimicrobial stewardship (AMS) programs in hospitals comprise coordinated strategies to optimise antimicrobial use. The COVID-19 pandemic had a significant impact on the healthcare system, including AMS. This study aimed to understand the work processes of AMS teams during COVID-19 hospital restrictions and the role technology played in supporting AMS. Observations and interviews were conducted with AMS teams at two hospitals in Sydney, Australia. Participants reported an increase in antimicrobial use, a loss of resources for AMS activities, and reduced in-person interactions. Meetings were performed through videoconferencing, which resulted in greater access to information but led to poorer communication and impacted interdisciplinary relationships. As COVID-19 restrictions recede, AMS program changes should be evaluated to understand the most effective strategies to facilitate evidence-based AMS practices. [ABSTRACT FROM AUTHOR]

Involving clinician users in the design and development of Clinical Decision Support (CDS) systems is touted to improve the fit between system and user needs. However, the impact of clinician involvement on CDS acceptance and use in practice has not been systematically studied. This review aimed to identify the approaches taken to involve clinicians in CDS development and understand the impact of these approaches on barriers and facilitators to acceptance and use in hospital settings over time. Twenty-three studies met full inclusion criteria. Clinician involvement was rarely described in depth and no comparative studies were identified. Despite frequently reporting perceived ease of use, included studies still reported barriers to acceptance and use shortly after CDS implementation and years later. Future studies should report clinician involvement in adequate detail to enable understanding of its impact on CDS acceptance and use over time. Additional recommendations for future research, including conducting comparative studies and maintaining clinician involvement beyond implementation, are described. [ABSTRACT FROM AUTHOR]

Limited research has focused on understanding if and how evidence of health information technology (HIT) effectiveness drives the selection and implementation of technologies in practice. This study aimed to explore the views of senior hospital staff on the role evidence plays in the selection and implementation of HIT, with a particular focus on clinical decision support (CDS) alerts in electronic medication management systems. A qualitative descriptive design was used. Twenty senior hospital staff from six Australian hospitals in New South Wales and Queensland took part in a semistructured interview. Interviews were audio-recorded and transcribed, and a general inductive content analysis approach was used to identify themes. Participants acknowledged the importance of an evidence base, but reported that selection of CDS alerts, and HIT more broadly, was rarely underpinned by evidence that technologies improve patient care. Instead, investments in technologies were guided by the expectation that benefits will be achieved, bolstered by vendor assurances, and a perception that implementation of HIT is unavoidable. Postponing implementation of a technology until an evidence base is available was not always feasible. Although some technologies were seen as not requiring an evidence base, stakeholders viewed evidence as extremely valuable for informing decisions about selection of CDS alerts. In the absence of evidence, evaluation or monitoring of technologies postimplementation is critical, particularly to identify new errors or risks associated with HIT implementation and use. Increased transparency from vendors, with technology evaluation outcomes made directly available to healthcare organizations, may result in less reliance on logic, intuition, and vendor assertions and more evidence-based selection of HIT. [ABSTRACT FROM AUTHOR]

Objective: To understand and synthesize factors influencing user acceptance of digital interventions used for antimicrobial prescribing and monitoring in hospitals.Materials and Methods: A meta-synthesis was conducted to identify qualitative studies that explored user acceptance of digital interventions for antimicrobial prescribing and/or monitoring in hospitals. Databases were searched and qualitative data were extracted and systematically classified using the unified theory of acceptance and use of technology (UTAUT) model.Results: Fifteen qualitative studies met the inclusion criteria. Eleven papers used interviews and four used focus groups. Most digital interventions evaluated in studies were decision support for prescribing (n = 13). Majority of perceptions were classified in the UTAUT performance expectancy domain in perceived usefulness and relative advantage constructs. Key facilitators in this domain included systems being trusted and credible sources of information, improving performance of tasks and increasing efficiency. Reported barriers were that interventions were not considered useful for all settings or patient conditions. Facilitating conditions was the second largest domain, which highlights the importance of users having infrastructure to support system use. Digital interventions were viewed positively if they were compatible with values, needs, and experiences of users.Conclusions: User perceptions that drive users to accept and utilize digital interventions for antimicrobial prescribing and monitoring were predominantly related to performance expectations and facilitating conditions. To ensure digital interventions for antimicrobial prescribing are accepted and used, we recommend organizations ensure systems are evaluated and benefits are conveyed to users, that utility meets expectations, and that appropriate infrastructure is in place to support use. [ABSTRACT FROM AUTHOR]

Background: Medication adherence among older adults (aged 60 and above), particularly those with chronic conditions who take several medications, is critical, and tele-pharmacy services are a way to improve medication adherence. This study sought to determine the factors influencing medication adherence (MA) in older adults using tele-pharmacy services. Method: The Joana Briggs Institute scoping review methodology was implemented. Searches were conducted in databases PubMed, Scopus, ProQuest, Web of Science, and Embase from 2000 to the present day, to identify both qualitative and quantitative studies focusing on the use of tele-pharmacy by older people. Factors impacting MA were extracted and analyzed into themes using a qualitative approach. A concept map was also designed summarising these factors. Results: Of 7495 articles obtained in the initial search, 52 articles met the inclusion criteria. The analysis resulted in 5 themes and 21 sub-themes representing factors that impacted MA with tele-pharmacy. These themes are divided broadly into technology and user related factors. Technology factors included design of the tele-pharmacy intervention, commercial aspects, and adherence measurement method. User factors included user-health constraints, behaviors and perceptions. Conclusion: Industry, policymakers, and stakeholders should consider using tele-pharmacy services for improving medication adherence among older adults; however, ensuring interventions facilitate communication between patients and health care teams, and are accompanied by user training and support, is essential for technology uptake and effectiveness. [ABSTRACT FROM AUTHOR]

Background: Antimicrobial stewardship (AMS) programmes in hospitals support optimal antimicrobial use by utilizing strategies such as restriction policies and education. Several systematic reviews on digital interventions supporting AMS have been conducted but they have focused on specific interventions and outcomes.Objectives: To provide a systematic overview and synthesis of evidence on the effectiveness of digital interventions to improve antimicrobial prescribing and monitoring in hospitals.Methods: Multiple databases were searched from 2010 onwards. Review papers were eligible if they included studies that examined the effectiveness of AMS digital interventions in an inpatient hospital setting. Papers were excluded if they were not systematic reviews, were limited to a paediatric setting, or were not in English.Results: Eight systematic reviews were included for data extraction. A large number of digital interventions were evaluated, with a strong focus on clinical decision support. Due to the heterogeneity of the interventions and outcome measures, a meta-analysis could not be performed. The majority of reviews reported that digital interventions reduced antimicrobial use and improved antimicrobial appropriateness. The impact of digital interventions on clinical outcomes was inconsistent.Conclusions: Digital interventions reduce antimicrobial use and improve antimicrobial appropriateness in hospitals, but no firm conclusions can be drawn about the degree to which different types of digital interventions achieve these outcomes. Evaluation of sociotechnical aspects of digital intervention implementation is limited, despite the critical role that user acceptance, uptake and feasibility play in ensuring improvements in AMS are achieved with digital health. [ABSTRACT FROM AUTHOR]

Aim: Gout is a common form of inflammatory arthritis with suboptimal management. Management guidelines for gout highlight the importance of both pharmacological and non‐pharmacological treatments. Dietitians can potentially assist in improving gout's associated dietary and lifestyle factors, and thereby play a role in improving its management. The aim of this study was to investigate perspectives of Australian community dietitians on whether their role in gout management could be expanded to improve management and treatment of gout. Method: A snowballing recruitment strategy was used. Dietitians known to the research team were invited to participate and then they suggested further dietitians. Semi‐structured interviews (one‐on‐one) were conducted with 16 dietitians. The focus was on their experiences of contributing to the management of gout, including any barriers and facilitators experienced. Interviews were transcribed verbatim and independently analyzed by 2 reviewers to identify themes. Results: The main reported role of dietitians in gout management was providing patient education. An identified facilitator was dietitians' understanding of gout and its dietary management. Barriers included the emphasis placed on medications for treatment by clinicians and patients, consultation costs, limitations in the evidence for the efficacy of dietary changes and lack of specific training in gout for dietitians. Dietitians predominantly managed the other metabolic conditions commonly associated with gout. Conclusion: Currently, the role dietitians play in gout management is limited. However, dietitians have the potential to take on larger roles in gout education and can also indirectly contribute by way of management of commonly associated comorbidities in gout patients. [ABSTRACT FROM AUTHOR]

Aims: Accurate documentation of medication administration time is imperative for many therapeutic decisions, including dosing of intravenous antimicrobials. The objectives were to determine (1) the discrepancy between actual and documented administration times for antimicrobial infusions and (2) whether day of the week, time of day, nurse‐to‐patient ratio and drug impacted accuracy of documented administration times. Methods: Patient and dosing data were collected (June–August 2019) for 55 in‐patients receiving antimicrobial infusions. "Documented" and "actual" administration times (n = 660) extracted from electronic medication management systems and smart infusion pumps, respectively, were compared. Influence of the day (weekday/weekend), time of day (day/evening/night), nurse‐to‐patient ratio (high 1:1/low 1:5) and drug were examined. Monte Carlo simulation was used to predict the impact on dose adjustments for vancomycin using the observed administration time discrepancies compared to the actual administration time. Results: The median discrepancy between actual and documented administration times was 16 min (range, 2–293 min), with discrepancies greater than 60 minutes in 7.7% of administrations. Overall, discrepancies (median [range]) were similar on weekends (17 [2–293] min) and weekdays (16 [2–188] min), and for high (16 [2–157] min) and low nurse‐to‐patient ratio wards (16 [2–293] min). Discrepancies were smallest for night administrations (P <.05), and antimicrobials with shorter half‐lives (P <.0001). The observed discrepancies in vancomycin administration time resulted in a different dose recommendation in 58% of cases (30% higher, 28% lower). Conclusions: Overall, there were discrepancies between actual and documented antimicrobial infusion administration times. For vancomycin, these discrepancies in administration time were predicted to result in inappropriate dose recommendations. [ABSTRACT FROM AUTHOR]

Aims: Despite the availability of international consensus guidelines, vancomycin dosing and therapeutic drug monitoring (TDM) remain suboptimal. This study aimed to assess concordance of vancomycin dosing and TDM with institutional guidelines and to identify factors taken into consideration by clinicians when prescribing vancomycin. Methods: A retrospective audit of 163 patients receiving vancomycin therapy (≥48 hours) was undertaken. Data collected included patient characteristics, dosing history and plasma vancomycin and creatinine concentrations. Concordance of dosing and TDM with institutional guidelines was evaluated. Semi‐structured interviews, including simulated prescribing scenarios, were undertaken with prescribers (n = 17) and transcripts analysed. Results: Plasma vancomycin concentrations (n = 1043) were collected during 179 courses of therapy. Only 24% of courses commenced with a loading dose with 72% lower than recommended. The initial maintenance dose was concordant in 42% of courses with 34% lower than recommended. Only 14% of TDM samples were trough vancomycin concentrations. Dose was not adjusted for 60% (21/35) of subtherapeutic and 43% (18/42) of supratherapeutic trough vancomycin concentrations, respectively. Interview participants reported that patient characteristics (including renal function), vancomycin concentrations, guidelines and expert advice influenced vancomycin prescribing decisions. Despite referring to guidelines when completing simulated prescribing scenarios, only 37% of prescribing decisions aligned with guideline recommendations. Conclusion: Poor compliance with institutional vancomycin guidelines was observed, despite prescriber awareness of available guidelines. Multifaceted strategies to support prescriber decision‐making are required to improve vancomycin dosing and monitoring. [ABSTRACT FROM AUTHOR]

Electronic medication management (eMM) systems can have a significant impact on efficiency and safety. There is limited evidence on the effects of eMM implementation on the physical location of work. The objective of this study was to evaluate the impact of eMM and associated hardware implementation on the location of tasks performed by doctors and nurses. 41.5 hours of observation were conducted in the oncology ward of a paediatric hospital. Tasks, locations and resources used were recorded pre and post eMM implementation. Results showed that a wider variety of locations were used to conduct tasks following eMM implementation. Post-eMM, more tasks were performed in the hallway, where medication trolleys with attached laptops were situated, and in patient rooms where additional computers were installed, providing more opportunities for patient/carer and clinician interaction. The findings from this study reveal the impact that computer placement has on the location of work for doctors and nurses, and the importance of planning hardware placement for eMM implementation. [ABSTRACT FROM AUTHOR]

Background: Deprescribing, the supervised withdrawal of inappropriate medications, intends to manage polypharmacy, which is prevalent in older patients. Aims: To examine general practitioner (GP) perceptions of communication processes between clinicians in hospital and GP in the community about deprescribing decisions made in hospital. Methods: Focus groups and interviews were held with 15 GP, exploring deprescribing in hospitals, communication of deprescribing information and the format of communications. Sessions were audiotaped, transcribed and analysed using an inductive approach. Results: GP stated that they should be involved in deprescribing decisions, especially for older complex patients, because of their good knowledge of their patients. Barriers to effective communication included the acute nature of hospital stays and lack of time. Facilitators included long‐term relationships of GP with their patients and engaged patients. GP preferred communication of deprescribing decisions to be over the telephone while the patient was still in hospital, and with a concise, electronic discharge summary at the time of discharge. GP indicated that rationale for medication changes and recommended follow‐up actions were crucial in a discharge summary to enable care post‐discharge. Conclusions: GP welcome increased communication with hospital clinicians regarding deprescribing decisions made while patients are in hospital. Communication needs to be timely, transparent, succinct and accessible. Lack of time and difficulties contacting hospital clinicians challenge this process. [ABSTRACT FROM AUTHOR]

Background: Although many people with chronic low back pain (LBP) improve following conservative treatment, one in five will experience worsening symptoms after discharge from treatment and seek health care again. The current LBP clinical care pathway in many health services lacks a well-integrated, systematic approach to support patients to remain physically active and self-manage their symptoms following discharge from treatment. Health coaching can support people to improve physical activity levels and may potentially reduce health care utilisation for LBP. The primary aim of this study is to evaluate the effect of introducing a coordinated support system (linking hospital outpatient physiotherapy services to a public health coaching service) at discharge from LBP treatment, on the future use of hospital, medical, and health services for LBP, compared with usual care provided at discharge.Methods: Three hundred and seventy-four adults with chronic non-specific LBP will be recruited from the outpatient physiotherapy departments of public hospitals in New South Wales, Australia. Participants will be individually randomised to a support system (n = 187) or usual care group (n = 187). All participants will receive usual care provided at discharge from treatment. Participants allocated to the support system will also receive up to 10 telephone-based health coaching sessions, delivered by the Get Healthy Service®, over a 6-month period. Health coaches will monitor and support participants to improve physical activity levels and achieve personal health-related goals. The primary outcome is the total number of encounters with hospital, medical, and health services for LBP, at 12 months from baseline. A within-trial economic evaluation will quantify the incremental costs and benefits of the support system from a health system perspective, to support reimbursement decision making.Discussion: This study will establish the effect of a coordinated support system, introduced at discharge from treatment, on the future use of hospital, medical, and health services for LBP and various health outcomes.Conclusion: Innovative community-driven solutions to support people with chronic LBP after discharge from treatment are urgently needed. Study findings will help inform health care policy and clinical practice in Australia.Trial Registration: Prospectively registered on the Australian New Zealand Clinical Trials Registry ( ACTRN12620000889954 ) on 10/09/2020. [ABSTRACT FROM AUTHOR]

The article discusses the results of a survey of Australian hospital outpatient pharmacy managers conducted from December 2020 to March 2021 aimed to identify how their services were adapted during the 2020 COVID-19 lockdowns. Topics covered include the use telepharmacy services during the pandemic, the adaptations that were made to reduce patient contact in face-to-face services, and manager's perception on the services preferred by patients.

Background: Despite growing evidence that deprescribing can improve clinical outcomes, quality of life and reduce the likelihood of adverse drug events, the practice is not widespread, particularly in hospital settings. Clinical risk assessment tools, like the Drug Burden Index (DBI), can help prioritise patients for medication review and prioritise medications to deprescribe, but are not integrated within routine care. The aim of this study was to conduct formative usability testing of a computerised decision support (CDS) tool, based on DBI, to identify modifications required to the tool prior to trialling in practice.Methods: Our CDS tool comprised a DBI MPage in the electronic medical record (clinical workspace) that facilitated review of a patient's DBI and medication list, access to deprescribing resources, and the ability to deprescribe. Two rounds of scenario-based formative usability testing with think-aloud protocol were used. Seventeen end-users participated in the testing, including junior and senior doctors, and pharmacists.Results: Participants expressed positive views about the DBI CDS tool but testing revealed a number of clear areas for improvement. These primarily related to terminology used (i.e. what is a DBI and how is it calculated?), and consistency of functionality and display. A key finding was that users wanted the CDS tool to look and function in a similar way to other decision support tools in the electronic medical record. Modifications were made to the CDS tool in response to user feedback.Conclusion: Usability testing proved extremely useful for identifying components of our CDS tool that were confusing, difficult to locate or to understand. We recommend usability testing be adopted prior to implementation of any digital health intervention. We hope our revised CDS tool equips clinicians with the knowledge and confidence to consider discontinuation of inappropriate medications in routine care of hospitalised patients. In the next phase of our project, we plan to pilot test the tool in practice to evaluate its uptake and effectiveness in supporting deprescribing in routine hospital care. [ABSTRACT FROM AUTHOR]

Objective: To measure the direct and indirect out‐of‐pocket (OOP) costs borne by Australians with gout. Methods: A cross‐sectional, Australia‐wide, web‐based survey was conducted over 12 months between May 2017 and April 2018. Participants were recruited via advertisements in doctors' clinics and healthcare organizations' websites, and social media platforms such as Facebook and Twitter. Survey questions collected information about participants' OOP spending on direct medical and non‐medical gout‐related healthcare costs. Participant demographics, gout status, healthcare sought, workdays lost to due gout and health‐related quality of life were also collected. Results: Seventy‐nine patients with gout completed the survey; 70 (89%) were male, and on average were 56 (SD 16) years of age and had gout for 14 (SD 12) years. For this cohort, the median total OOP direct medical cost was AU$200 per year (interquartile range [IQR]: AU$60‐AU$570). Sixty (76%) people with gout reported being affected by gout during work; however, only 0.25 (IQR: 0‐3) days of work (approximately $60) were lost due to gout in a year. Nine percent (n = 7) of participants experienced cost‐related treatment attrition and 33% reported economic hardship (n = 26). Participants who experienced economic hardship or cost‐related treatment attrition had higher median total gout‐related direct costs than those who did not. Conclusion: In Australia, gout has an OOP financial cost and reduces work productivity. The presence of cost‐related treatment attrition among people with gout indicates that financial costs may be a significant barrier to seeking treatment for a subset of patients with gout. [ABSTRACT FROM AUTHOR]

Aims: Dose‐prediction software can optimise vancomycin therapy, improving therapeutic drug monitoring processes and reducing drug toxicity. Success of software in hospitals may be dependent on prescriber uptake of software recommendations. This study aimed to identify the perceived psychosocial and environmental barriers and facilitators to prescriber acceptance of dose‐prediction software. Methods: Semi‐structured interviews, incorporating prescribing scenarios, were undertaken with 17 prescribers. Participants were asked to prescribe the next maintenance dose of vancomycin for a scenario(s) and then asked if they would accept a recommendation provided by a dose‐prediction software. Interviews further explored opinions of dose‐prediction software. Interview transcripts were analysed using an inductive approach to identify themes and the Theoretical Domains Framework was used to synthesise barriers and facilitators to software acceptance. Results: When presented with software recommendations, half of the participants were comfortable with accepting the recommendation. Key barriers to acceptance of software recommendations aligned with 2 Theoretical Domains Framework domains: Knowledge (uncertainty of software capability) and Beliefs about Consequences (perceived impact of software on clinical outcomes and workload). Key facilitators aligned with 2 domains: Beliefs about Consequences (improved efficiency) and Social Influences (influence of peers). A novel domain, Trust, was identified as influential. Conclusion: Prescribers reported barriers to acceptance of dose‐prediction software aligned with limited understanding of, and scepticism about, software capabilities, as well as concerns about clinical outcomes. Identification of key barriers and facilitators to acceptance provides essential information to design of implementation strategies to support the introduction of this intervention into the workplace. [ABSTRACT FROM AUTHOR]

Objective: To identify individual and organisational factors associated with the prevalence, type and impact of unprofessional behaviours among hospital employees. Design, setting, participants: Staff in seven metropolitan tertiary hospitals operated by one health care provider in three states were surveyed (Dec 2017 – Nov 2018) about their experience of unprofessional behaviours — 21 classified as incivility or bullying and five as extreme unprofessional behaviour (eg, sexual or physical assault) — and their perceived impact on personal wellbeing, teamwork and care quality, as well as about their speaking‐up skills. Main outcome measures: Frequency of experiencing 26 unprofessional behaviours during the preceding 12 months; factors associated with experiencing unprofessional behaviour and its impact, including self‐reported speaking‐up skills. Results: Valid surveys (more than 60% of questions answered) were submitted by 5178 of an estimated 15 213 staff members (response rate, 34.0%). 4846 respondents (93.6%; 95% CI, 92.9–94.2%) reported experiencing at least one unprofessional behaviour during the preceding year, including 2009 (38.8%; 95% CI, 37.5–40.1%) who reported weekly or more frequent incivility or bullying; 753 (14.5%; 95% CI, 13.6–15.5%) reported extreme unprofessional behaviour. Nurses and non‐clinical staff members aged 25–34 years reported incivility/bullying and extreme behaviour more often than other staff and age groups respectively. Staff with self‐reported speaking‐up skills experienced less incivility/bullying (odds ratio [OR], 0.53; 95% CI, 0.46–0.61) and extreme behaviour (OR, 0.80; 95% CI, 0.67–0.97), and also less frequently an impact on their personal wellbeing (OR, 0.44; 95% CI, 0.38–0.51). Conclusions: Unprofessional behaviour is common among hospital workers. Tolerance for low level poor behaviour may be an enabler for more serious misbehaviour that endangers staff wellbeing and patient safety. Training staff about speaking up is required, together with organisational processes for effectively eliminating unprofessional behaviour. [ABSTRACT FROM AUTHOR]

Objective: To identify and summarize the current internal governance processes adopted by hospitals, as reported in the literature, for selecting, optimizing, and evaluating clinical decision support (CDS) alerts in order to identify effective approaches.Materials and Methods: Databases (Medline, Embase, CINAHL, Scopus, Web of Science, IEEE Xplore Digital Library, CADTH, and WorldCat) were searched to identify relevant papers published from January 2010 to April 2020. All paper types published in English that reported governance processes for selecting and/or optimizing CDS alerts in hospitals were included.Results: Eight papers were included in the review. Seven papers focused specifically on medication-related CDS alerts. All papers described the use of a multidisciplinary committee to optimize alerts. Other strategies included the use of clinician feedback, alert data, literature and drug references, and a visual dashboard. Six of the 8 papers reported evaluations of their CDS alert modifications following the adoption of optimization strategies, and of these, 5 reported a reduction in alert rate.Conclusions: A multidisciplinary committee, often in combination with other approaches, was the most frequent strategy reported by hospitals to optimize their CDS alerts. Due to the limited number of published processes, variation in system changes, and evaluation results, we were unable to compare the effectiveness of different strategies, although employing multiple strategies appears to be an effective approach for reducing CDS alert numbers. We recommend hospitals report on descriptions and evaluations of governance processes to enable identification of effective strategies for optimization of CDS alerts in hospitals. [ABSTRACT FROM AUTHOR]

Objective: The efficiency-thoroughness trade-off (ETTO) principle proposes that people and organizations are often required to make a trade-off between being efficient and being thorough, as it is difficult to be both efficient and thorough at the same time. This study aimed to compare pre- electronic medication management system (EMMS) expectation of how an EMMS is likely to impact on efficiency and thoroughness to post-EMM experiences of an EMMS and the ETTO.Design: Qualitative interview study.Setting: A paediatric oncology cancer centre in a large paediatric tertiary teaching hospital in Sydney, Australia.Participants: Forty-four semi-structured interviews with doctors, nurses and pharmacists six months prior to and two years following implementation of an EMMS.Results: Prior to EMM implementation, staff identified a number of areas of work where both efficiency and thoroughness were expected to improve with EMM. These included ease of accessibility of the medication record, and organization and legibility of medication information. Following EMMS implementation, staff reported improvements in these areas. However, the EMMS was perceived to drive thoroughness (safety) benefits at the expense of efficiency (time). Measures to improve safety in the EMMS enforced processes that required time, such as medication double-checking procedures.Conclusions: Overall, staff were aware of the competitive interplay between thoroughness and efficiency and reported that introduction of an EMMS had imposed processes that favoured improvements in thoroughness at the expense of efficiency. [ABSTRACT FROM AUTHOR]

Background: Vancomycin is the primary treatment for methicillin‐resistant Staphylococcus aureus infections. Hospital audits have showed that dosing and therapeutic drug monitoring practices for vancomycin are suboptimal. Limited studies have examined the current educational resources used to support vancomycin use. Aims: To explore and compare the perceptions of health educators and recipients of education on the methods currently used to educate health professionals about vancomycin and to identify ideal methods of education. Methods: Semi‐structured interviews were conducted with health educators around Australia and with recipients of education (doctors and nurses). Interview questions explored previous experiences of education and perceptions of ideal methods of education. Interviews were audio‐taped, transcribed and thematically analysed. Results: Health educators explained that current vancomycin education comprises large‐scale presentations, but they perceived these to be ineffective. The recipients of vancomycin education reported a lack of formal education on vancomycin. Despite this, both educators and recipients agreed on the ideal methods of education: nurses are reported to be protocol driven, and education for nurses should be through in‐services or e‐learning modules, while doctors require an evidenced‐based approach. Senior doctors initially require convincing that education is needed. Once convinced, they respond well to brief emails and case‐based and one‐on‐one education strategies. Technology‐based strategies and problem‐based learning were observed to be effective methods for junior doctors. Conclusions: Vancomycin dosing and therapeutic drug monitoring involves multiple health professionals, but current education strategies do not take this into account. Ideal education strategies need to be multimodal and targeted to specific health profession groups. [ABSTRACT FROM AUTHOR]

This study aimed to assess drug–drug interaction alert interfaces and to examine the relationship between compliance with human factors principles and user-preferences of alerts. Three reviewers independently evaluated drug–drug interaction alert interfaces in seven electronic systems using the Instrument-for-Evaluating-Human-Factors-Principles-in-Medication-Related-Decision-Support-Alerts (I-MeDeSA). Fifty-three doctors and pharmacists completed a survey to rate the alert interfaces from best to worst and reported on liked and disliked features. Human factors compliance and user-preferences of alerts were compared. Statistical analysis revealed no significant association between I-MeDeSA scores and user-preferences. However, the strengths and weaknesses of drug–drug interaction alerts from users' perspectives were in-line with the human factors constructs evaluated by the I-MeDeSA. I-MeDeSA in its current form, is unable to identify alerts that are preferred by the users. The design principles assessed by I-MeDeSA appear to be sound, but its arbitrary allocation of points to each human factors construct may not reflect the relative importance that the end-users place on different aspects of alert design. [ABSTRACT FROM AUTHOR]

Objectives: There are high levels of inappropriate antibiotic use in long-term care facilities (LTCFs). Our objective was to examine evidence of the effectiveness of interventions designed to reduce antibiotic use and/or inappropriate use in LTCFs. Design: Systematic review and meta-analysis. Data sources: MEDLINE, Embase and CINAHL from 1997 until November 2018. Eligibility criteria: Controlled and uncontrolled studies in LTCFs measuring intervention effects on rates of overall antibiotic use and/or appropriateness of use were included. Secondary outcomes were intervention implementation barriers from process evaluations. Data extraction and synthesis: Two reviewers independently applied the Cochrane Effective Practice and Organisation of Care group’s resources to classify interventions and assess risk of bias. Meta-analyses used random effects models to pool results. Results: Of include studies (n=19), 10 had a control group and 17 had a high risk of bias. All interventions had multiple components. Eight studies (with high risk of bias) showed positive impacts on outcomes and included one of the following interventions: audit and feedback, introduction of care pathways or an infectious disease team. Meta-analyses on change in the percentage of residents on antibiotics (pooled relative risk (RR) (three studies, 6862 residents): 0.85, 95% CI: 0.61 to 1.18), appropriateness of decision to treat with antibiotics (pooled RR (three studies, 993 antibiotic orders): 1.10, 95% CI: 0.64 to 1.91) and appropriateness of antibiotic selection for respiratory tract infections (pooled RR (three studies, 292 orders): 1.15, 95% CI: 0.95 to 1.40), showed no significant intervention effects. However, meta-analyses only included results from intervention groups since most studies lacked a control group. Insufficient data prevented meta-analysis on other outcomes. Process evaluations (n=7) noted poor intervention adoption, low physician engagement and high staff turnover as barriers. Conclusions: There is insufficient evidence that interventions employed to date are effective at improving antibiotic use in LTCFs. Future studies should use rigorous study designs and tailor intervention implementation to the setting. [ABSTRACT FROM AUTHOR]

Introduction: The risk of medication errors is high in paediatric inpatient settings. However, estimates of the prevalence of medication errors have not accounted for heterogeneity across studies in error identification methods and definitions, nor contextual differences across wards and the use of electronic or paper medication charts.Objective: Our aim was to conduct a systematic review and meta-analysis to provide separate estimates of the prevalence of medication errors among paediatric inpatients, depending on hospital ward and the use of electronic or paper medication charts, that address differences in error identification methods and definitions.Methods: We systematically searched five databases to identify studies published between January 2000 and December 2018 that assessed medication error rates by medication chart audit, direct observation or a combination of methods.Results: We identified 71 studies, 19 involved paediatric wards using electronic charts. Most studies assessed prescribing errors with few studies assessing administration errors. Estimates varied by ward type. Studies of paediatric wards using electronic charts generally reported a reduced error prevalence compared to those using paper, although there were some inconsistencies. Error detection methods impacted the rate of administration errors in studies of multiple wards, however, no other difference was found. Definition of medication error did not have a consistent impact on reported error rates.Conclusions: Medication errors are a frequent occurrence in paediatric inpatient settings, particularly in intensive care wards and emergency departments. Hospitals using electronic charts tended to have a lower rate of medication errors compared to those using paper charts. Future research employing controlled designs is needed to determine the true impact of electronic charts and other interventions on medication errors and associated harm among hospitalized children. [ABSTRACT FROM AUTHOR]

Background: Many studies have explored the effect of electronic medication management systems (EMMS) on doctors' and nurses' work, but few have focused specifically on pharmacists' work. Aim: This study examined how implementation of a commercial EMMS affected the work of pharmacists in an Australian paediatric hospital. In particular, the study investigated whether any pharmacy tasks changed or were eliminated, or whether new tasks emerged following EMMS introduction. Methods: Two rounds of semistructured interviews with pharmacists, one 4 months and the other 1 year after EMMS implementation, were conducted. In total, 17 pharmacists were interviewed, comprising inpatient, outpatient and oncology pharmacists, as well as pharmacy managers. Results: EMMS implementation eliminated a small number of tasks, changed some tasks and created many new work tasks for pharmacists. These new tasks included helping doctors and nurses to use the EMMS, duplicated data entry and the review of additional information. Pharmacists held the view that their workload had increased and that additional pharmacists were necessary to cope with the new work requirements associated with the EMMS. Some problems were perceived to be the result of implementation of a US‐designed EMMS that did not fully support Australian pharmacy workflows. Conclusion: Implementation of an EMMS in a paediatric hospital affected pharmacists' work in a variety of ways, predominately by introducing new tasks. Anticipating how workflows will change with EMMS implementation is challenging. Undertaking regular reviews of workflow and planning for an increased burden on pharmacy staff is likely to improve the transition from paper to electronic medication management. [ABSTRACT FROM AUTHOR]

Classifying harm associated with a medication error can be time consuming and labour intensive and limited studies undertake this step. There is no standardised process, and few studies that report harm assessment provide adequate methods to allow for study replication. Studies typically mention that a clinical review panel classified patient harm and provide a reference to a classification tool. Moreover, in many studies it is unclear whether potential or actual harm was classified as studies refer only to 'error severity'. The tools used to categorise the severity of patient harm vary widely across studies and few have been assessed for inter-rater reliability and criterion validity. In this paper, we describe the systematic process we undertook to synthesise the defining elements and strengths, while mitigating the limitations, of existing harm classification tools to derive the Harm Associated with Medication Error Classification (HAMEC). This new tool provides a harm classification for use across clinical and research settings. The provision of an explicit process for its application and guiding category descriptors are designed to reduce the risk of misclassification and produce results that are comparable across studies. As the World Health Organisation embarks on its international safety challenge of reducing medication-related harm by 50%, accompanying methodological advances are required to measure progress. [ABSTRACT FROM AUTHOR]

Background: Electronic medication management (EMM) systems provide the capacity to enable and configure front‐end clinical decision support (CDS) tools to trigger medication‐related prescribing alerts. Aim: The aim of this study was to determine how and why alerts were selected for inclusion in inpatient EMM systems in Australian hospitals. Methods: A semistructured, cross‐sectional survey containing multiple‐choice questions, scaled responses and open‐ended questions was conducted on a purposive sample of key stakeholders from Australian hospitals who had implemented an EMM system. Results: We interviewed fifteen participants, predominantly pharmacists, representing 26 Australian hospitals that had implemented an EMM system. All hospitals had implemented drug–allergy and drug–drug alerting, and 69% (n = 18) had implemented dose range checking alerting. Implementers reported a high level of customisation of the vendor out‐of‐the box functionality in efforts to improve sensitivity and specificity of alerts and to minimise alert fatigue. For the most frequently implemented alert categories, most respondents reported that they believed there was research evidence to support the benefits of these alerts to improve prescribing behaviours and patient outcomes. Aside from drug–allergy alerts, less than 50% of EMM implementers reported that they thought alerts had improved prescriber behaviour in their hospitals. Few local evaluations of the effects of alerts had been conducted. Conclusion: The results of this survey provide implementers with new insights into the experiences of Australian hospitals to inform the design and implementation of effective medication prescribing alerts. They also highlight the urgent need for robust evaluations of prescribing alerts in Australian healthcare contexts. [ABSTRACT FROM AUTHOR]

Background: Chronic disease patients are adopting self-management techniques, such as using mobile health applications (apps). As GPs are the main caregivers of chronic disease patients, obtaining GP perspectives regarding patient use of mobile health apps is vital in understanding longer term value and feasibility of these apps.Objective: The aim was to determine GP perceptions of their current and potential roles in the use of health apps by their patients and how patient-focused apps affect patient management.Methods: Ten GPs participated in semi-structured, face-to-face interviews, which focused on their perceptions of, and involvement in, the use of patient-focused health apps. Interviews were transcribed verbatim and thematically analysed by two independent reviewers.Results: GPs found that apps complemented their role in patient management as additional sources of medical information of their patients. They perceived that patient-focused apps would be part of their future practices; however they noted that further work was required to incorporate them into their current practices. Currently, the main role of GPs was in promoting apps to patients. Suggestions for further engagement in mobile health included regularly reviewing patient data entered into health apps during consultations.Conclusion: GPs view patient-focused health apps positively, particularly to support them in providing patient care. Discussing information recorded in apps during consultations and frequent promotion of apps are feasible ways to integrate apps into their current work practices. Further studies involving evaluations of apps in improving health care delivery and patient communication in general practice are required. [ABSTRACT FROM AUTHOR]

Introduction: The risk of dose errors is high in paediatric inpatient settings. Computerized provider order entry (CPOE) systems with clinical decision support (CDS) may assist in reducing the risk of dosing errors. Although a frequent type of medication error, the prevalence of dose errors is not well described. Dosing error rates in hospitals with or without CPOE have not been compared.Objective: Our aim was to conduct a systematic review assessing the prevalence and impact of dose errors in paediatric wards with and without CPOE and/or CDS.Methods: We systematically searched five databases to identify studies published between January 2000 and December 2017 that assessed dose error rates by medication chart audit or direct observation.Results: We identified 39 studies, nine of which involved paediatric wards using CPOE with or without CDS. Studies of paediatric wards using paper medication charts reported approximately 8-25% of patients experiencing a dose error, and approximately 2-6% of medication orders and approximately 3-8% of dose administrations contained a dose error, with estimates varying by ward type. The nine studies of paediatric wards using CPOE reported approximately 22% of patients experiencing a dose error, and approximately 1-6% of medication orders and approximately 3-8% of dose administrations contained a dose error. Few studies provided data for individual wards. The severity and prevalence of harm associated with dose errors was rarely assessed and showed inconsistent results.Conclusions: Dose errors occur in approximately 1 in 20 medication orders. Hospitals using CPOE with or without CDS had a lower rate of dose errors compared with those using paper charts. However, few pre/post studies have been conducted and none reported a significant reduction in dose error rates associated with the introduction of CPOE. Future research employing controlled designs is needed to determine the true impact of CPOE on dosing errors among children, and any associated patient harm. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 uratelowering 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, selfmanagement, '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 Primary 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]