Background: In Australia, community pharmacists are increasingly being integrated into the healthcare system. A range of services in pharmacies are government-funded aiming to prevent chronic diseases and improve the quality use of medicines. The objective of this narrative review is to evaluate the impact of existing pharmacy services and identify opportunities to better address the patients' needs. Methods: A narrative review was undertaken. First, Community Pharmacy Agreement documents between the Australian government and the Pharmacy Guild of Australia were reviewed to identify relevant community pharmacy services. Based on these, a literature search was conducted via PubMed and Google Scholar. The included articles were analysed and a proposal for further improvement of the programmes was developed. Results: Overall, five areas of community pharmacy interventions were identified: clinical interventions, medication reviews, health promotion, screening and management of chronic diseases, and support services for drug addiction. Pharmacists' interventions have led to improved asthma control, detection of diabetes and cardiovascular risk factors, reduction in smoking rates and weight, and identification of drug-related problems. The availability of vaccination services in pharmacies has contributed to increased vaccination rates. Through support programmes for drug abusers the transmission rate of blood-borne diseases was decreased. Factors that facilitate community pharmacy interventions are skilled staff, remuneration, a designated area in the pharmacy, and good relationships between health professionals. The main barriers are patients' unawareness of existing programmes, pharmacists' lack of confidence and time, and physicians' lack of involvement. To achieve integrated care for patients, the individual services should be better combined, starting with low intensity interventions and proceeding to in-depth services if required. Discussion: Community pharmacies are well located to deliver healthcare services due to convenience and accessibility. The range of services offered by community pharmacies is comprehensive. Despite this, the clinical interventions provided in pharmacies currently appear not to be coordinated. This leads to the proposal that more efforts should be put into linking the individual services. Conclusion: There is sufficient evidence for the effectiveness of most of the pharmacy services reviewed. However, the potential of the individual services might be further enhanced by interlinking the services and better integrating them with the patient care provided by GPs and other health professionals.

The prolongation of the QT interval is a relatively rare but serious adverse drug reaction. It can lead to torsade de pointes, which is potentially life-threatening. The study’s objectives were: determine the use of QT interval-prolonging drugs in an elderly community-dwelling population at risk of medication misadventure and identify recommendations regarding the risk of QT interval prolongation made by pharmacists when performing medication reviews. In a retrospective evaluation, 500 medication review reports from Australian pharmacists were analysed. In patients taking at least one QT interval-prolonging drug, the individual risk of drug-induced QT interval prolongation was assessed. Recommendations of pharmacists to avoid the occurrence of this drug-related problem were examined. There was a high prevalence of use of potentially QT interval-prolonging drugs (71% patients), with 11% of patients taking at least one drug with a known risk. Pharmacists provided specific recommendations in only eight out of 35 patients (23%) with a high-risk score and taking drugs with known risk of QT interval prolongation. Pharmacists’ recommendations, when present, were focused on drugs with known risk of QT interval prolongation, rather than patients’ additional risk factors. There is a need to improve knowledge and awareness of this topic among pharmacists performing medication reviews.

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Background Digital technology is an opportunity for public health interventions to reach a large part of the population. Objective This systematic literature review aimed to assess the effectiveness of mobile health–based interventions in reducing the risk of cardiovascular disease and type 2 diabetes mellitus. Methods We conducted the systematic search in 7 electronic databases using a predefined search strategy. We included articles published between inception of the databases and March 2019 if they reported on the effectiveness of an intervention for prevention of cardiovascular disease or type 2 diabetes via mobile technology. One researcher performed the search, study selection, data extraction, and methodological quality assessment. The steps were validated by the other members of the research team Results The search yielded 941 articles for cardiovascular disease, of which 3 met the inclusion criteria, and 732 for type 2 diabetes, of which 6 met the inclusion criteria. The methodological quality of the studies was low, with the main issue being nonblinding of participants. Of the selected studies, 4 used SMS text messaging, 1 used WhatsApp, and the remaining ones used specific smartphone apps. Weight loss and reduction in BMI were the most reported successful outcomes (reported in 4 studies). Conclusions Evidence on the effectiveness of mobile health-based interventions in reducing the risk for cardiovascular disease and type 2 diabetes is low due to the quality of the studies and the small effects that were measured. This highlights the need for further high-quality research to investigate the potential of mobile health interventions. Trial Registration International Prospective Register of Systematic Reviews (PROSPERO) CRD42019135405; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=135405

Background Cardiovascular disease and type 2 diabetes mellitus are two of the most prevalent chronic conditions worldwide. An unhealthy lifestyle greatly contributes to someone’s risk of developing these conditions. Mobile health is an emerging technology that can help deliver health promotion interventions to the population, for example, in the form of health apps. Objective The aim of this study was to test the feasibility of an app-based intervention for cardiovascular and diabetes risk awareness and prevention by measuring nonusage, dropout, adherence to app use, and usability of the app over 3 months. Methods Participants were eligible if they were aged 45 years or older, resided in Australia, were free of cardiovascular disease and diabetes, were fluent in English, and owned a smartphone. In the beginning, participants received an email with instructions on how to install the app and a user guide. After 3 months, they received an email with an invitation to an end-of-study survey. The survey included questions about general smartphone use and the user version of the Mobile Application Rating Scale. We analyzed app-generated and survey data by using descriptive and inferential statistics as well as thematic analysis for open-text comments. Results Recruitment took place between September and October 2021. Of the 46 participants who consented to the study, 20 (44%) never used the app and 15 (33%) dropped out. The median age of the app users at baseline was 62 (IQR 56-67) years. Adherence to app use, that is, using the app at least once a week over 3 months, was 17% (8/46) of the total sample and 31% (8/26) of all app users. The mean app quality rating on the user version of the Mobile Application Rating Scale was 3.5 (SD 0.6) of 5 points. The app scored the highest for the information section and the lowest for the engagement section of the scale. Conclusions Nonusage and dropouts were too high, and the adherence was too low to consider the intervention in its current form feasible. Potential barriers that we identified include the research team not actively engaging with participants early in the study to verify that all participants could install the app, the intervention did not involve direct contact with health care professionals, and the app did not have enough interactive features.

Background Cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are posing a huge burden on health care systems worldwide. Mobile apps can deliver behavior change interventions for chronic disease prevention on a large scale, but current evidence for their effectiveness is limited. Objective This paper reported on the development and user testing of a mobile app that aims at increasing risk awareness and engaging users in behavior change. It would form part of an intervention for primary prevention of CVD and T2DM. Methods The theoretical framework of the app design was based on the Behaviour Change Wheel, combined with the capability, opportunity, and motivation for behavior change system and the behavior change techniques from the Behavior Change Technique Taxonomy (version 1). In addition, evidence from scientific literature has guided the development process. The prototype was tested for user-friendliness via an iterative approach. We conducted semistructured interviews with individuals in the target populations, which included the System Usability Scale. We transcribed and analyzed the interviews using descriptive statistics for the System Usability Scale and thematic analysis to identify app features that improved utility and usability. Results The target population was Australians aged ≥45 years. The app included 4 core modules (risk score, goal setting, health measures, and education). In these modules, users learned about their risk for CVD and T2DM; set goals for smoking, alcohol consumption, diet, and physical activity; and tracked them. In total, we included 12 behavior change techniques. We conducted 2 rounds of usability testing, each involving 5 participants. The average age of the participants was 58 (SD 8) years. Totally, 60% (6/10) of the participants owned iPhone Operating System phones, and 40% (4/10) of them owned Android phones. In the first round, we identified a technical issue that prevented 30% (3/10) of the participants from completing the registration process. Among the 70% (7/10) of participants who were able to complete the registration process, 71% (5/7) rated the app above average, based on the System Usability Scale. During the interviews, we identified some issues related to functionality, content, and language and clarity. We used the participants’ feedback to improve these aspects. Conclusions We developed the app using behavior change theory and scientific evidence. The user testing allowed us to identify and remove technical errors and integrate additional functions into the app, which the participants had requested. Next, we will evaluate the feasibility of the revised version of the app developed through this design process and usability testing.

In total, 580 reports were evaluated. Of these, 179 reports did not contain any pathology data. Pharmacists commented on provided laboratory values in 324 reports and recommended further testing in 473 reports. Not all suggestions were related to previous values or were in line with guidelines. Most recommendations were regarding vitamin D and lipids (69% and 62% of medication review reports, respectively). Particularly, regarding renal impairment, pharmacists used their knowledge on dose adjustments and contraindications. In relation to full blood count, vitamin B12, and thyroid function, unjustified screenings were often recommended. In 26% of all reports, the pharmacists requested an array of tests without explaining the necessity for these tests. Conclusion and Relevance: Pharmacists provided useful advice based on the pathology data, which was concordant with national and international guidelines; however, in some cases, there was no rationale for the test recommendations provided. The outcome of the HMR program might be further enhanced if pharmacists had direct access to the patients' pathology data.

Highlights A lifestyle-based score can satisfactorily predict 5-year risk of type 2 diabetes. The model’s performance was similar to the standard tool in an Australian cohort. Lifestyle predictors might be easier for laypersons to know and interpret.