The DOCUMENT system provided pharmacists with a useful and easy-to-use tool for recording DRPs and clinical interventions. Results from the trial have provided a better understanding of the frequency and nature of clinical interventions performed in Australian community pharmacies, and lead to a national implementation of the system.

Objective: To assess the impact of a multi‐strategic, interdisciplinary intervention on antipsychotic and benzodiazepine prescribing in residential aged care facilities (RACFs). Design, setting: Prospective, longitudinal intervention in Australian RACFs, April 2014 – March 2016. Participants: 150 RACFs (with 12 157 residents) comprised the main participant group; two further groups were consultant pharmacists (staff education) and community pharmacies (prescribing data). Data for all RACF residents, excluding residents receiving respite or end‐stage palliative care, were included. Intervention: A multi‐strategic program comprising psychotropic medication audit and feedback, staff education, and interdisciplinary case review at baseline and 3 months; final audit at 6 months. Main outcome measure: Mean prevalence of regular antipsychotic and benzodiazepine prescribing at baseline, and at 3 and 6 months. Secondary measures: chlorpromazine and diazepam equivalent doses/day/resident; proportions of residents for whom drug was ceased or the dose reduced; prevalence of antidepressant and prn (as required) psychotropic prescribing (to detect any substitution practice). Results: During the 6‐month intervention, the proportion of residents prescribed antipsychotics declined by 13% (from 21.6% [95% CI, 20.4–22.9%] to 18.9% [95% CI, 17.7–20.1%]), and that of residents regularly prescribed benzodiazepines by 21% (from 22.2% [95% CI, 21.0–23.5%] to 17.6% [95% CI, 16.5–18.7]; each, P < 0.001). Mean chlorpromazine equivalent dose declined from 22.9 mg/resident/day (95% CI, 19.8–26.0) to 20.2 mg/resident/day (95% CI, 17.5–22.9; P < 0.001); mean diazepam equivalent dose declined from 1.4 mg/resident/day (95% CI, 1.3–1.5) to 1.1 mg/resident/day (95% CI, 0.9–1.2; P < 0.001). For 39% of residents prescribed antipsychotics and benzodiazepines at baseline, these agents had been ceased or their doses reduced by 6 months. There was no substitution by sedating antidepressants or prn prescribing of other psychotropic agents. Conclusions: The RedUSe program achieved significant reductions in the proportions of RACF residents prescribed antipsychotics and benzodiazepines. Trial registration: Australian New Zealand Clinical Trials, ACTRN12617001257358.

Objective. To provide a computer-based learning method for pharmacy practice that is as effective as paper-based scenarios, but more engaging and less labor-intensive. Design. We developed a flexible and customizable computer simulation of community pharmacy. Using it, the students would be able to work through scenarios which encapsulate the entirety of a patient presentation. We compared the traditional paper-based teaching method to our computerbased approach using equivalent scenarios. The paper-based group had 2 tutors while the computer group had none. Both groups were given a prescenario and postscenario clinical knowledge quiz and survey. Assessment. Students in the computer-based group had generally greater improvements in their clinical knowledge score, and third-year students using the computer-based method also showed more improvements in history taking and counseling competencies. Third-year students also found the simulation fun and engaging. Conclusion. Our simulation of community pharmacy provided an educational experience as effective as the paper-based alternative, despite the lack of a human tutor.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT• Computerized clinical decision support has been increasingly utilized in hospital and general‐practice settings where it may improve prescribing practice. Little investigation has been undertaken using computerized decision support in the community pharmacy setting. Proton pump inhibitors are expensive and often prescribed in dosages above recommended guidelines.WHAT THIS STUDY ADDS• This study adds justification for the use of computerized decision support in community pharmacy. It highlights the promotion of improved prescribing of proton pump inhibitors through patient empowerment.AIM To evaluate the effect of a computerized decision support prompt regarding high‐dose proton pump inhibitor (PPI) therapy on prescribing and medication costs.METHODS A prompt activated on dispensing high‐dose esomeprazole or pantoprazole was implemented in 73 of 185 pharmacies. Anonymized prescription data and a patient survey were used to determine changes in prescribing and associated medication costs.RESULTS The pharmacist‐recorded PPI intervention rate per 100 high‐dose PPI prescriptions was 1.67 for the PPI prompt group and 0.17 for the control group (P < 0.001). During the first 28 days of the trial, 196 interventions resulted in 34 instances of PPI step‐down, with 28 of these occurring in PPI prompt pharmacies. Cost savings attributable to the prompt were AUD 7.98 (£4.95) per month per PPI prompt pharmacy compared with AUD 1.05 (£0.65) per control pharmacy.CONCLUSION The use of electronic decision support prompts in community pharmacy practice can promote the quality use of medicines.

The documentation system allowed for the determination of the frequency and types of DRPs, as well as the recommendations made to resolve them in community pharmacy practice. Use of the software, including its electronic prompts, significantly increased the documentation of interventions by pharmacists.

BackgroundSmoking is recognized as the largest, single, preventable cause of death and disease in the developed world. While the majority of smokers report wanting to quit, and many try each year, smokers find it difficult to maintain long-term abstinence. Behavioral support, such as education, advice, goal-setting, and encouragement, is known to be beneficial in improving the likelihood of succeeding in a quit attempt, but it remains difficult to effectively deliver this behavioral support and keep the patient engaged with the process for a sufficient duration. In an attempt to solve this, there have been numerous mobile apps developed, yet engagement and retention have remained key challenges that limit the potential effectiveness of these interventions. Video games have been clearly linked with the effective delivery of health interventions, due to their capacity to increase motivation and engagement of players.ObjectiveThe objective of this study is to describe the design and development of a smartphone app that is theory-driven, and which incorporates gaming characteristics in order to promote engagement with content, and thereby help smokers to quit.MethodsGame design and development was informed by a taxonomy of motivational affordances for meaningful gamified and persuasive technologies. This taxonomy describes a set of design components that is grounded in well-established psychological theories on motivation.ResultsThis paper reports on the design and development process of Quittr, a mobile app, describing how game design principles, game mechanics, and game elements can be used to embed education and support content, such that the app actually requires the user to access and engage with relevant educational content. The next stage of this research is to conduct a randomized controlled trial to determine whether the additional incentivization game features offer any value in terms of the key metrics of engagement–how much content users are consuming, how many days users are persisting with using the app, and what proportion of users successfully abstain from smoking for 28 days, based on user-reported data and verified against a biochemical baseline using cotinine tests.ConclusionsWe describe a novel, and theoretically-informed mobile app design approach that has a broad range of potential applications. By using the virtual currency approach, we remove the need for the game to comprehensively integrate the healthy activity as part of its actual play mechanics. This opens up the potential for a wide variety of health problems to be tackled through games where no obvious play mechanic presents itself. The implications of this app are that similar approaches may be of benefit in areas such as managing chronic conditions (diabetes, heart disease, etc), treating substance abuse (alcohol, illicit drugs, etc), diet and exercise, eating disorders (anorexia, bulimia, and binge eating), and various phobias.

Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers.

The knowledge-based system has already demonstrated that the technique employed is well suited to a domain of this nature and has furthermore demonstrated that it is capable of improving the quality of service that the medication reviewer can provide. The system will be further enhanced and tested prior to use in the field. It should help pharmacists in the provision of medication reviews, improving their clinical and time management capabilities, and enhancing their ability to contribute to the quality use of medications.