Introduction Venous thromboembolism (VTE) risk assessment (VTERA) tools can be used to guide clinical decisions on postpartum thromboprophylaxis. However, the appropriateness of these decisions depends on the accuracy of the data input into VTERA tools. Objectives The primary objective was to assess whether the accuracy of postpartum VTE risk assessments differed between the study years (2019–2025), across nine predefined risk factors. The secondary objectives included evaluating the accuracy of all risk factors, and thromboprophylaxis recommendations, in a 2025 sample. Methods In this retrospective observational study, the accuracy of data entered into a postpartum VTERA tool was assessed, through comparison to electronic health record (EHR) data. Differences in accuracy across study years (2019–2025), for nine structured risk factors, were evaluated using Poisson regression.For the primary analysis, all deliveries and bookings, with a matched VTE risk assessment between January 2019 and August 2025 were included. For the secondary analysis, 283 patients from 2025 were manually reviewed, to assess all 23 risk factors and thromboprophylaxis recommendations. Results Primary analysis included 47 489 deliveries and bookings, with a matched risk assessment. BMI was the risk factor with the lowest accuracy overall (94.3%), and remained the lowest across each year. Compared with 2019, postpartum VTE risk factor recording was significantly more accurate in 2020, 2021, 2022, 2023, 2024 and 2025.Secondary analysis showed that 6.0% of risk assessments produced inaccurate thromboprophylaxis recommendations, regarding indication and duration, and 4.9% yielded inaccurate dose recommendations. Conclusions Future research must focus on enhancing the accuracy of VTE risk assessments. This may involve auto-population of VTERA tools using EHR data.

BACKGROUND:Venous thromboembolism (VTE) is the leading cause of maternal death. Current VTE risk assessment (VTERA) tools often require manual data entry, which can reduce accuracy and affect thromboprophylaxis decisions. Building on 'Thrombocalc', an established postpartum manual VTERA tool, we developed a semi-automated VTERA application ('app') using SMART on FHIR. This app integrates with the electronic health record (EHR) to automatically extract 11 risk factors. OBJECTIVES:The primary objective was to evaluate the accuracy of a semi-automated VTERA app. The secondary objectives were to evaluate efficiency and usability. PATIENTS/METHODS:A randomised crossover study was conducted at a tertiary maternity hospital. Healthcare professionals (HCPs) completed ten simulated patient assessments using both manual and semi-automated VTERA tools. Accuracy was evaluated based on the inclusion of appropriate risk factors, accuracy of risk scores, and appropriateness of thromboprophylaxis recommendations. These recommendations pertained to thromboprophylaxis indication, duration, and dosage. Mouse clicks, keystrokes, and completion times were logged to assess efficiency. Usability of the semi-automated tool was evaluated using the System Usability Scale (SUS). Linear and logistic mixed-effects models were used to analyse accuracy and efficiency outcomes. RESULTS:Thirty-one HCPs participated. The proportion of accurate risk scores increased from 63% with the manual tool, to 87% with the semi-automated tool. Accurate thromboprophylaxis recommendations increased from 79% to 91%. Mixed-effects models demonstrated higher odds of producing accurate risk scores (OR 6.99, 95% CI 3.31-14.67) and recommendations (OR 3.59, 95% CI 1.64-7.88) with the semi-automated tool. Task completion time decreased by 49 s (95% CI 32.8-65). Mouse clicks were reduced by 12 clicks (95% CI 9.01-15.37), and keystrokes by 94% (95% CI 93.4-94.2%). The semi-automated tool achieved a mean SUS score of 89.8, indicating excellent usability. CONCLUSION:Automation can enhance postpartum VTE risk assessment. However, optimal performance requires reliable data and HCP oversight.

The advantages of electronic health records (EHRs) are well-documented regarding the process of care, enhanced data accessibility and cost savings. However, EHR design can also contribute to usability challenges, with poorly designed EHRs being implicated in user errors including patient overdoses. Our study seeks to evaluate how EHR design influences both usability and medication safety. A systematic review was conducted of PubMed, EMBASE, CINAHL and the ACM library from 1 January 2009 to 8 October 2024. Eligible studies reported on the impact of specific EHR design elements on usability and/or medication safety, involved healthcare providers and took place in a secondary, tertiary or quaternary care setting. Usability was defined as the extent to which an EHR can be used to achieve specified goals with effectiveness, efficiency and satisfaction, while medication safety related to the risk of drug-related problems, including adverse drug events and medication errors. Design features identified within studies were validated, by cross-referencing these elements with ISO standards regarding design recommendations. A narrative synthesis was conducted, with studies tabulated based on whether they assessed usability and/or medication safety. Patterns were identified and common design elements between studies translated into themes. The Mixed Methods Appraisal Tool was used to evaluate study quality and PRISMA guidelines were followed throughout. Thirty-two studies were identified. The design features described in these studies fit within seven broad design themes: searchability, automation, customisation, data entry, workflow, user guidance and interoperability. EHR systems that prioritised these areas were associated with higher reported usability and enhanced medication safety, while the opposite was found for systems that overlooked these design aspects. Our review also highlighted the numerous ways these themes can be implemented, while identifying the contributing factors that enable their successful implementation. The design of EHRs can enhance or undermine usability and medication safety, depending on the searchability and customisability of these systems, how data entry processes and provider workflow are facilitated and how automation, user guidance and interoperability are implemented. Future EHR evaluations should be performed throughout the design process and consensus building is required regarding what exactly constitutes a design element, within an EHR context.

Background The use of telehealth has rapidly increased, yet some populations may be disproportionally excluded from accessing and using this modality of care. Training service users in telehealth may increase accessibility for certain groups. The extent and nature of these training activities have not been explored. Objective The objective of this scoping review is to identify and describe activities for training service users in the use of telehealth. Methods Five databases (MEDLINE [via PubMed], Embase, CINAHL, PsycINFO, and Web of Science) were searched in June 2023. Studies that described activities to train service users in the use of synchronous telehealth consultations were eligible for inclusion. Studies that focused on health care professional education were excluded. Papers were limited to those published in the English language. The review followed the Joanna Briggs Institute guidelines for scoping reviews and was reported in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Titles and abstracts were screened by 1 reviewer (EG). Full texts were screened by 2 reviewers (EG and JH or SC). Data extraction was guided by the research question. Results The search identified 8087 unique publications. In total, 13 studies met the inclusion criteria. Telehealth training was commonly described as once-off preparatory phone calls to service users before a telehealth visit, facilitated primarily by student volunteers, and accompanied by written instructions. The training content included guidance on how to download and install software, troubleshoot technical issues, and adjust device settings. Older adults were the most common target population for the training. All but 1 of the studies were conducted during the COVID-19 pandemic. Overall, training was feasible and well-received by service users, and studies mostly reported increased rates of video visits following training. There was limited and mixed evidence that training improved participants’ competency with telehealth. Conclusions The review mapped the literature on training activities for service users in telehealth. The common features of telehealth training for service users included once-off preparatory phone calls on the technical elements of telehealth, targeted at older adults. Key issues for consideration include the need for co-designed training and improving the broader digital skills of service users. There is a need for further studies to evaluate the outcomes of telehealth training activities in geographically diverse areas.

The use of telehealth became widespread during the COVID-19 pandemic, including in child and adolescent attention-deficit/hyperactivity disorder (ADHD) services. Telehealth is defined as live, synchronous phone and video appointments between a healthcare provider and a parent and/or child with ADHD. There is a dearth of research on the use of telehealth within this population. The aim of this study was to examine parents' and caregivers' perceptions of telehealth for children and adolescents with ADHD. A cross-sectional survey design was employed. Recruitment of parents and caregivers of children and adolescents with ADHD was conducted online. The survey asked participants about their views of telehealth, previous experience, and willingness to use telehealth. Quantitative data were analysed using STATA. Qualitative data were analysed using content analysis. One hundred and twelve respondents participated in the survey. Participants were mostly female (n = 97, 86.6%) and aged between 45 and 54 (n = 64, 57.1%). Of the 61 (54.5%) participants with experience of telehealth, the majority reported that that they were at least satisfied with telehealth visits (n = 36, 59%), whilst approximately half rated their quality more poorly than in-person visits (n = 31, 50.8%). The majority of respondents (n = 91, 81.3%) reported that they would be willing to use telehealth for their child's future appointments. Most common reasons selected for wanting to use telehealth included saving time, improvements to the family routine, and reducing costs. Reasons selected for not wanting to use telehealth included not being able to receive hands-on care, belief that the quality of care is poorer than in-person consultations, and distraction of the child during telehealth visits. The study demonstrates that parents recognise deficits and benefits of telehealth, suggesting a need to build their trust and confidence in remote ADHD care.

Remote mental health consultations were swiftly implemented across mental health services during the COVID-19 pandemic. Research has begun to inform future design and delivery of telemental health services. Exploring the in-depth experiences of those involved is important to understand the complex, multi-level factors that influence the implementation of remote mental health consultations. The aim of this study was to explore stakeholder perspectives and experiences of the implementation of remote mental health consultations during the COVID-19 pandemic in Ireland. A qualitative study was conducted whereby semi-structured, individual interviews were undertaken with mental health providers, service users, and managers (n = 19) to acquire rich information. Interviews were conducted between November 2021 and July 2022. The interview guide was informed by the Consolidated Framework for Implementation Research (CFIR). Data were analysed thematically using a deductive and inductive approach. Six themes were identified. The advantages of remote mental health consultations were described, including convenience and increased accessibility to care. Providers and managers described varying levels of success with implementation, citing complexity and incompatibility with existing workflows as barriers to adoption. Providers’ access to resources, guidance, and training were notable facilitators. Participants perceived remote mental health consultations to be satisfactory but not equivalent to in-person care in terms of quality. Views about the inferior quality of remote consultations stemmed from beliefs about the inhibited therapeutic relationship and a possible reduction in effectiveness compared to in-person care. Whilst a return to in-person services was mostly preferred, participants acknowledged a potential adjunct role for remote consultations in certain circumstances. Remote mental health consultations were welcomed as a means to continue care during the COVID-19 pandemic. Their swift and necessary adoption placed pressure on providers and organisations to adapt quickly, navigating challenges and adjusting to a new way of working. This implementation created changes to workflows and dynamics that disrupted the traditional method of mental health care delivery. Further consideration of the importance of the therapeutic relationship and fostering positive provider beliefs and feelings of competence are needed to ensure satisfactory and effective implementation of remote mental health consultations going forward.

Background: The COVID-19 pandemic response has led to an exponential increase in the use and spread of telemedicine internationally. In community mental health care settings, telemedicine services were implemented within a few weeks, with little time for rigorous planning. Despite the reported acceptability of telemedicine by patients and clinicians, barriers to its implementation have come to light. There is now a need to investigate these barriers, and facilitators, as telemedicine begins to show potential promise beyond the pandemic. We propose a review that aims to identify the factors affecting the implementation of telemedicine consultations for patients with mental health conditions in the community. Methods: A systematic review will be conducted and reported according to the PRISMA guidelines. Five electronic databases will be searched using a pre-defined search strategy from 2016 to 2021. Only studies of synchronous, interactive telemedicine consultations conducted via video, phone or live messaging between patients and providers will be included. Quantitative, qualitative and mixed methods studies will be eligible for inclusion. Only studies published in the English language will be included. Titles and abstracts will be screened by two reviewers. Full text articles will be screened by two reviewers. The methodological quality of studies will be assessed using the Mixed Method Appraisal Tool (MMAT) by two reviewers. Data will be extracted and tabulated to address the aims of the review. A narrative synthesis will be conducted and reported factors will be mapped to the domains of the Consolidated Framework for Implementation Research (CFIR). Conclusion: By identifying the factors that influence the implementation of telemedicine consultations for patients with mental conditions in the community, consideration can be given to both barriers and facilitators that could be addressed in future mental health services planning. PROSPERO registration: CRD42021273422 (04/10/2021)

The impact of the COVID-19 pandemic on pharmacy education worldwide has been immense, affecting students, educators and regulatory agencies. Pharmacy programmes have had to rapidly adapt in their delivery of education, maintaining standards while also ensuring the safety of all stakeholders. In this commentary, we describe the challenges, compromises and solutions adopted by our institution throughout the pandemic, the lessons learnt, adaptive measures taken, and strategies to develop and future-proof our curricula.

Objectives The aims of this study were to develop and to validate an adapted Retract-and-Reorder (RAR) tool to identify and quantify near-miss/intercepted prescribing errors in an electronic health record. Methods This is a cross-sectional study between February and March 2021 in an Irish maternity hospital. We used the RAR tool to detect near-miss prescribing errors in audit log data. Potential errors flagged by the tool were validated using prescriber interviews. Chart reviews were performed if the prescriber was unavailable for interview. Errors were judged to be clinical decisions in chart reviews through review of narrative notes, order components, and patient's clinical history. Interviews were analyzed with reference to the London Protocol, a process of incident analysis that categorizes causes of errors into various contributory factors including patient factors, task and technology factors, and work environment. Logistic regression with robust clustered standard errors was used to determine predictors for near-miss prescribing errors. We calculated the positive predictive value of the RAR tool by dividing the number of confirmed near-miss prescribing errors by the total number of RAR events identified. Results Eighty-four RAR events were identified in 27,407 medication orders. Seventy-one events were confirmed near-miss prescribing errors, resulting in a positive predictive value of 85.0% (95% confidence interval, 75%-91%) and an estimated near-miss prescribing error rate of 259/100,000 medication orders. Duplicate prescribing errors were most common (54/71, 76.1%). No errors were reported by prescribers. Consultants were less likely to make an error than nonconsultant hospital doctors (adjusted odds ratio, 0.10; 95% confidence interval, 0.01-0.84). Factors associated with errors included workload, staffing levels, and task structure. Conclusions Our adapted RAR tool identified a variety of near-miss prescribing errors not otherwise reported. The tool has been implemented in the study hospital as a patient safety resource. Further implementations are planned across Irish hospitals.

Remote, or tele-, consultations became a necessary form of mental healthcare provision during the COVID-19 pandemic. As the prevalence of mental health problems rises, they may have a role in future mental health services. We aimed to review the literature on patient and provider perspectives on factors influencing the implementation of remote consultations for community-dwelling people with mental health conditions. We searched five electronic databases (PubMed, EMBASE, Web of Science, CINAHL, and PsycINFO) for empirical research up to July 13th, 2022. Only studies of synchronous, interactive remote consultations conducted via video, phone, or live-messaging between patients and providers were included. Two reviewers independently assessed the quality of included studies using the Mixed Methods Appraisal Tool. We integrated qualitative and quantitative data from 39 studies into a single mixed-methods synthesis. We mapped reported factors to the domains of the Consolidated Framework for Implementation Research (CFIR). Acceptability was generally high among participants, despite concerns about the quality of care and the perceived impeded therapeutic relationship. A prominent facilitator was the increased accessibility and convenience of remote consultations, while lack of appropriate infrastructure and low patient comfort and competence were among the most prevalent barriers. This review highlights the importance of patient preferences and provider buy-in to the future of remote consultations.

BACKGROUND:An Electronic Health Record (EHR) has been introduced to four Irish maternity units, with further implementations planned. Previous studies indicate that healthcare professionals are concerned that EHRs may increase time spent on documentation and medication-related tasks.OBJECTIVE:To determine the impact of an EHR on task time distribution in a Neonatal Intensive Care Unit (NICU).METHODS:A pre-post, time and motion study. An electronic data collection tool was used to collate time spent on direct care, professional communication, reviewing charts, documentation, and medication-related tasks. Interruptions and contact with the patient zone were quantified. Statistical significance was assessed using two-sample proportion tests, two-sample t-tests, and two-sample Wilcoxon rank-sum tests. A Bonferroni correction set significance at p ≤ 0.0025.RESULTS:63 doctors and nurses participated, with 169.23 h of data collected. There were no significant changes to nurses' task time distribution. The proportion of time spent by doctors on professional communication increased from 15.4% to 26.0% (p < 0.001). Significant increases to median task times were seen for both doctors and nurses. Interruptions to tasks decreased post-implementation (p < 0.001), as did frequency of contact with the patient zone (p < 0.001).CONCLUSION:The EHR did not redistribute time towards documentation and medication-related tasks. A reduction in interruptions to tasks may streamline workflow. Decreased contact with the patient zone may improve patient safety through reduced potential for pathogen transmission.

BACKGROUND:Multi-morbidity and polypharmacy increase the risk of non-trivial adverse drug reactions (ADRs) in older people during hospitalization. Despite this, there are no established interventions for hospital-acquired ADR prevention. METHODS:We undertook a pragmatic, multi-national, parallel arm prospective randomized open-label, blinded endpoint (PROBE) controlled trial enrolling patients at six European medical centres. We randomized 1,537 older medical and surgical patients with multi-morbidity and polypharmacy on admission in a 1:1 ratio to SENATOR software-guided medication optimization plus standard care (intervention, n = 772, mean number of daily medications = 9.34) or standard care alone (control, n = 765, mean number of daily medications = 9.23) using block randomization stratified by site and admission type. Attending clinicians in the intervention arm received SENATOR-generated advice at a single time point with recommendations they could choose to adopt or not. The primary endpoint was occurrence of probable or certain ADRs within 14 days of randomization. Secondary endpoints were primary endpoint derivatives; tertiary endpoints included all-cause mortality, re-hospitalization, composite healthcare utilization and health-related quality of life. RESULTS:For the primary endpoint, there was no difference between the intervention and control groups (24.5 vs. 24.8%; OR 0.98; 95% CI 0.77-1.24; P = 0.88). Similarly, with secondary and tertiary endpoints, there were no significant differences. Among attending clinicians in the intervention group, implementation of SENATOR software-generated medication advice points was poor (~15%). CONCLUSIONS:In this trial, uptake of software-generated medication advice to minimize ADRs was poor and did not reduce ADR incidence during index hospitalization.

Background Health information technology (HIT) is known to reduce prescribing errors but may also cause new types of technology-generated errors (TGE) related to data entry, duplicate prescribing, and prescriber alert fatigue. It is unclear which component behaviour change techniques (BCTs) contribute to the effectiveness of prescribing HIT implementations and optimisation. This study aimed to (i) quantitatively assess the HIT that reduces prescribing errors in hospitals and (ii) identify the BCTs associated with effective interventions. Methods Articles were identified using CINAHL, EMBASE, MEDLINE, and Web of Science to May 2020. Eligible studies compared prescribing HIT with paper-order entry and examined prescribing error rates. Studies were excluded if prescribing error rates could not be extracted, if HIT use was non-compulsory or designed for one class of medication. The Newcastle-Ottawa scale was used to assess study quality. The review was reported in accordance with the PRISMA and SWiM guidelines. Odds ratios (OR) with 95% confidence intervals (CI) were calculated across the studies. Descriptive statistics were used to summarise effect estimates. Two researchers examined studies for BCTs using a validated taxonomy. Effectiveness ratios (ER) were used to determine the potential impact of individual BCTs. Results Thirty-five studies of variable risk of bias and limited intervention reporting were included. TGE were identified in 31 studies. Compared with paper-order entry, prescribing HIT of varying sophistication was associated with decreased rates of prescribing errors (median OR 0.24, IQR 0.03–0.57). Ten BCTs were present in at least two successful interventions and may be effective components of prescribing HIT implementation and optimisation including prescriber involvement in system design, clinical colleagues as trainers, modification of HIT in response to feedback, direct observation of prescriber workflow, monitoring of electronic orders to detect errors, and system alerts that prompt the prescriber. Conclusions Prescribing HIT is associated with a reduction in prescribing errors in a variety of hospital settings. Poor reporting of intervention delivery and content limited the BCT analysis. More detailed reporting may have identified additional effective intervention components. Effective BCTs may be considered in the design and development of prescribing HIT and in the reporting and evaluation of future studies in this area.

The SENATOR trial intervention included the provision of computer-generated medication recommendations to physician prescribers caring for hospitalised older adults (≥ 65 years), with the aim of reducing in-hospital adverse drug reactions. Interim data analysis during the trial revealed that the prescriber implementation rates of the computer-generated STOPP/START recommendations were lower than expected across all six trial sites. The aim of this qualitative study was to identify the factors affecting prescriber implementation of the medication recommendations in the SENATOR trial. Semi-structured interviews were conducted with trial researchers and physician prescribers who were provided with SENATOR recommendations. Content analysis was used to identify the most relevant domains from the Theoretical Domains Framework (TDF) that affected recommendation uptake. Ten trial researchers and fourteen prescribers were interviewed across the six trial sites. Eight TDF domains were found to be most relevant in affecting prescriber implementation: ‘environmental context and resources’, ‘goals’, ‘intentions’, ‘knowledge’, ‘beliefs about consequences’, ‘memory, attention and decision processes’, ‘social/professional role and identity’, and ‘social influences’. Interviewees felt that there was often a disconnect between the time prescribers were reviewing the patient and the point at which the recommendations were provided. However, when recommendations were reviewed, prescriber inertia was highly pervasive, with a particular reluctance to make pharmacotherapy changes outside their own specialty. Implementation was facilitated by recommendations reaching a ‘decision-maker’, but this was often not possible as the software could not evaluate the entire clinical context of patients, and thus frequently produced recommendations of low clinical relevance. This study has demonstrated that the clinical relevance of the SENATOR prescribing recommendations was a significant factor affecting their implementation. Whilst software refinement will be necessary to improve the quality of recommendations, future interventions will need to be multifaceted to overcome the complex prescriber specialty culture within the acute hospital environment.

Background Health information technology (HIT) is known to reduce prescribing errors but may also cause new types of technology-generated errors (TGE) related to data entry, duplicate prescribing, and prescriber alert fatigue. It is unclear which component behaviour change techniques (BCTs) contribute to the effectiveness of prescribing HIT implementations and optimisation. This study aimed to (i) quantitatively assess the HIT that reduces prescribing errors in hospitals and (ii) identify the BCTs associated with effective interventions. Methods Articles were identified using CINAHL, EMBASE, MEDLINE, and Web of Science to May 2020. Eligible studies compared prescribing HIT with paper-order entry and examined prescribing error rates. Studies were excluded if prescribing error rates could not be extracted, if HIT use was non-compulsory or designed for one class of medication. The Newcastle-Ottawa scale was used to assess study quality. The review was reported in accordance with the PRISMA and SWiM guidelines. Odds ratios (OR) with 95% confidence intervals (CI) were calculated across the studies. Descriptive statistics were used to summarise effect estimates. Two researchers examined studies for BCTs using a validated taxonomy. Effectiveness ratios (ER) were used to determine the potential impact of individual BCTs. Results Thirty-five studies of variable risk of bias and limited intervention reporting were included. TGE were identified in 31 studies. Compared with paper-order entry, prescribing HIT of varying sophistication was associated with decreased rates of prescribing errors (median OR 0.24, IQR 0.03–0.57). Ten BCTs were present in at least two successful interventions and may be effective components of prescribing HIT implementation and optimisation including prescriber involvement in system design, clinical colleagues as trainers, modification of HIT in response to feedback, direct observation of prescriber workflow, monitoring of electronic orders to detect errors, and system alerts that prompt the prescriber. Conclusions Prescribing HIT is associated with a reduction in prescribing errors in a variety of hospital settings. Poor reporting of intervention delivery and content limited the BCT analysis. More detailed reporting may have identified additional effective intervention components. Effective BCTs may be considered in the design and development of prescribing HIT and in the reporting and evaluation of future studies in this area.

Abstract Background Adverse drug reactions (ADRs) are common and have serious repercussions for older-adults. This descriptive-analysis elucidates clinical presentations, severity and responsible drugs of incident ADRs in the SENATOR (Software ENgine for the Assessment & optimization of drug and non-drug Therapy in Older peRsons) phase I feasibility study. Methods SENATOR-phase-I was a European multicentre-prospective-observational study. Participants were ≥ 65 years, experiencing acute-hospitalisation and on pharmacological treatment for ≥ 3 conditions. Adverse events (AEs) were identified by trigger list at recruitment, day-14/discharge and classified as ADRs when association with an administered drug was adjudicated as being probable/certain, according to the World Health Organization Uppsala Monitoring Centre ADR causality criteria. Results Of 644 participants recruited, 382 (59.1%) experienced 732 AEs, 363 AEs (49.6%) being incident. 139 participants (21.6%) experienced 177 (48.8%) ADRs. Full drug details were recorded in 156 patients (88%). Cardiovascular-system drugs accounted for one-third of ADRs (55, 35.3%). Five drug classes caused three-quarters of ADRs (135, 76.3%); diuretics 28.2% (furosemide 24.4%), opioid analgesics 16.7%, anti-bacterials for systemic use 14.1%, anti-thrombotic agents 10.3%, and drugs used in diabetes 7%. 68 patients (10.6%) experienced 81 (45.8%) clinically significant moderate-severe ADRs. Significant serum electrolyte disturbance (32, 18.1%), acute kidney injury [AKI] (22, 12.4%), unspecified adverse event (UAE; 21, 11.9%), dyspepsia/nausea/vomiting (20, 11.3%), new-onset major constipation (19, 10.7%) were the most common presentations of ADRs, accounting for 114, (64.4%) of all ADRs. In moderate-severe ADRs; AKI (12, 14.8%), acute bleeding (11, 13.6%), new-onset major constipation (11, 13.6%), UAE (11, 13.6%), significant serum electrolyte disturbance (10, 12.4%) were the most common presentations. Conclusion This analysis highlights that; 1-in-5 older adults will experience an incident ADR during acute hospitalisation. 1-in-10 patients experience moderate-severe incident ADRs. 3-of-4 ADRs were caused by 5 drug classes (diuretics, opioids, anti-bacterials, anti-thrombotics and anti-diabetic agents). This study allows for identification of potentially high risk medications which could be targeted for future ADR prevention.

Rights © 2018, the Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. http://creativecommons.org/licenses/by-nc/4.0/

It is contentious whether potentially inappropriate prescribing (PIP) is predominantly a phenomenon of late life or whether it has its origins in early old age. This study examined the pattern of PIP in an early old-aged population over 5 years.

Aims Deprescribing interventions safely and effectively optimize medication use in older people. However, questions remain about which components of interventions are key to effectively reduce inappropriate medication use. This systematic review examines the behaviour change techniques (BCTs) of deprescribing interventions and summarizes intervention effectiveness on medication use and inappropriate prescribing. Methods MEDLINE, EMBASE, Web of Science and Academic Search Complete and grey literature were searched for relevant literature. Randomized controlled trials (RCTs) were included if they reported on interventions in people aged ≥65 years. The BCT taxonomy was used to identify BCTs frequently observed in deprescribing interventions. Effectiveness of interventions on inappropriate medication use was summarized in meta‐analyses. Medication appropriateness was assessed in accordance with STOPP criteria, Beers' criteria and national or local guidelines. Between‐study heterogeneity was evaluated by I‐squared and Chi‐squared statistics. Risk of bias was assessed using the Cochrane Collaboration Tool for randomized controlled studies. Results Of the 1561 records identified, 25 studies were included in the review. Deprescribing interventions were effective in reducing number of drugs and inappropriate prescribing, but a large heterogeneity in effects was observed. BCT clusters including goals and planning ; social support ; shaping knowledge ; natural consequences ; comparison of behaviour ; comparison of outcomes ; regulation ; antecedents ; and identity had a positive effect on the effectiveness of interventions. Conclusions In general, deprescribing interventions effectively reduce medication use and inappropriate prescribing in older people. Successful deprescribing is facilitated by the combination of BCTs involving a range of intervention components.