Identifying risk factors for developing obesity: a record linkage longitudinal study in metropolitan Sydney using the 45 and Up Study.

BACKGROUND: Primary care clinicians have key responsibilities in obesity prevention and weight management. AIMS: We aimed to identify risk factors for developing obesity among people aged ≥45 years. METHODS: We conducted a record linkage longitudinal study of residents of metropolitan Sydney, Australia using data from the: (1) 45 and Up Study at baseline (2005-2009) and first follow-up (2012-2015); (2) Medicare claims; (3) Pharmaceutical Benefits Scheme; and (4) deaths registry. We examined risk factors for developing obesity (body mass index [BMI]: 30-40) at follow-up, separately for people within the: (1) healthy weight range (BMI 18.5-<25) and (2) overweight range (BMI 25-<30) at baseline. Covariates included demographics, modifiable behaviours, health status, allied health use, and medication use. Crude and adjusted relative risks were estimated using Poisson regression modelling. RESULTS: At follow-up, 1.1% (180/16,205) of those in the healthy weight range group, and 12.7% (1,939/15,266) of those in the overweight range group developed obesity. In both groups, the following were associated with developing obesity: current smoking at baseline, physical functioning limitations, and allied health service use through team care planning, while any alcohol consumption and adequate physical activity were found to be associated with a lower risk of developing obesity. In the healthy weight group, high psychological distress and the use of antiepileptics were associated with developing obesity. In the overweight group, female sex and full-time work were associated with developing obesity, while older age was found to be associated with a lower risk of developing obesity. CONCLUSIONS: These findings may inform the targeting of preventive interventions for obesity in clinical practice and broader public health programs.

Early intervention to prevent weight gain requires a targeted multidisciplinary team-based approach to improve diet, increase physical activity, and change behaviour. However, the capacity to provide this within primary care is limited and there is little funding for consultations with allied health professionals. There is a need to identify priority at-risk groups to help primary care clinicians target interventions to those in most need. We have identified, using a longitudinal study of residents of metropolitan Sydney, key characteristics of older adults who are at risk of gaining weight and developing obesity, including risk behaviours (smoking and physical inactivity), and chronic conditions or their treatment (physical function, psychological distress, and use of anti-epileptic medications). These findings may help alert clinicians to the need for preventive interventions in selected cases, as well as informing the targeting of public health programs.

General practitioners' perceptions on the feasibility and acceptability of implementing a risk prediction checklist to support their end-of-life discussions in routine care: a qualitative study.

BACKGROUND: General practitioners' (GPs) play a central role in facilitating end-of-life discussions with older patients nearing the end-of-life. However, prognostic uncertainty of time to death is one important barrier to initiation of these discussions. OBJECTIVE: To explore GPs' perceptions of the feasibility and acceptability of a risk prediction checklist to identify older patients in their last 12 months of life and describe perceived barriers and facilitators for implementing end-of-life planning. METHODS: Qualitative, semi-structured interviews were conducted with 15 GPs practising in metropolitan locations in New South Wales and Queensland between May and June 2019. Data were analysed thematically. RESULTS: Eight themes emerged: accessibility and implementation of the checklist, uncertainty around checklist's accuracy and usefulness, time of the checklist, checklist as a potential prompt for end-of-life conversations, end-of-life conversations not an easy topic, end-of-life conversation requires time and effort, uncertainty in identifying end-of-life patients and limited community literacy on end-of-life. Most participants welcomed a risk prediction checklist in routine practice if assured of its accuracy in identifying which patients were nearing end-of-life. CONCLUSIONS: Most participating GPs saw the value in risk assessment and end-of-life planning. Many emphasized the need for appropriate support, tools and funding for prognostic screening and end-of-life planning for this to become routine in general practice. Well validated risk prediction tools are needed to increase clinician confidence in identifying risk of death to support end-of-life care planning.

Who Benefits from Aggressive Rapid Response System Treatments Near the End of Life? A Retrospective Cohort Study.

BACKGROUND: Many patients near the end of life are subject to rapid response system (RRS) calls. A study was conducted in a large Sydney teaching hospital to identify a cutoff point that defines nonbeneficial treatment for older hospital patients receiving an RRS call, describe interventions administered, and measure the cost of hospitalization. METHODS: This was a retrospective cohort of 733 adult inpatients with data for the period three months before and after their last placed RRS call. Subgroup analysis of patients aged ≥ 80 years was conducted. Log-rank, chi-square, and t-tests were used to compare survival, and logistic regression was used to examine predictors of death. RESULTS: Overall, 65 (8.9%) patients had a preexisting not-for-resuscitation (NFR) or not-for-RRS order; none of those patients survived to three months. By contrast, patients without an NFR or not-for-RRS order had three-month survival probability of 71% (log-rank χ2 145.63; p < 0.001). Compared with survivors, RRS recipients who died were more likely to be older, to be admitted to a medical ward, and to have a larger mean number of admissions before the RRS. The average cost of hospitalization for the very old transferred to the ICU was higher than for those not requiring treatment in the ICU (US$33,990 vs. US$14,774; p = 0.045). CONCLUSION: Identifiable risk factors clearly associated with poor clinical outcomes and death can be used as a guide to administer less aggressive treatments, including reconsideration of ICU transfers, adherence to NFR orders, and transition to end-of-life management instead of calls to the RRS team.

Development and evaluation of an innovative model of inter-professional education focused on asthma medication use.

BACKGROUND: Inter-professional learning has been promoted as the solution to many clinical management issues. One such issue is the correct use of asthma inhaler devices. Up to 80% of people with asthma use their inhaler device incorrectly. The implications of this are poor asthma control and quality of life. Correct inhaler technique can be taught, however these educational instructions need to be repeated if correct technique is to be maintained. It is important to maximise the opportunities to deliver this education in primary care. In light of this, it is important to explore how health care providers, in particular pharmacists and general medical practitioners, can work together in delivering inhaler technique education to patients, over time. Therefore, there is a need to develop and evaluate effective inter-professional education, which will address the need to educate patients in the correct use of their inhalers as well as equip health care professionals with skills to engage in collaborative relationships with each other. METHODS: This mixed methods study involves the development and evaluation of three modules of continuing education, Model 1, Model 2 and Model 3. A fourth group, Model 4, acting as a control.Model 1 consists of face-to-face continuing professional education on asthma inhaler technique, aimed at pharmacists, general medical practitioners and their practice nurses.Model 2 is an electronic online continuing education module based on Model 1 principles.Model 3 is also based on asthma inhaler technique education but employs a learning intervention targeting health care professional relationships and is based on sociocultural theory.This study took the form of a parallel group, repeated measure design. Following the completion of continuing professional education, health care professionals recruited people with asthma and followed them up for 6 months. During this period, inhaler device technique training was delivered and data on patient inhaler technique, clinical and humanistic outcomes were collected. Outcomes related to professional collaborative relationships were also measured. DISCUSSION: Challenges presented included the requirement of significant financial resources for development of study materials and limited availability of validated tools to measure health care professional collaboration over time.

A retrospective observational study of telehealth utilisation for mental health consultations during the COVID-19 pandemic in Australian general practices.

Objectives and importance of study: Despite the abundance of mental health research during the pandemic, there is limited evidence exploring mental health presentations to Australian general practice. This study examined the utilisation of telehealth for mental health consultations in Australian general practice during the COVID-19 pandemic. The objectives were to: 1) determine the proportion of mental health services delivered via telehealth between March 2020 and November 2021; 2) determine the types of mental health consultations most frequently delivered via telehealth; and 3) model the sociodemographic characteristics of patients using telehealth mental health consultations, including consultation type. STUDY TYPE: Retrospective observational study. METHODS: We used Medicare Benefits Schedule service item numbers to distinguish mental health consultations in de-identified electronic general practice data. We stratified the proportions of face-to-face, video, and telephone mental health consultations by state and consultation type. We used two mixed-effects logistic models to assess the variation in the likelihood of i) a telehealth (video/telephone) compared to a face-to-face consultation and ii) a video compared to telephone consultation; by sociodemographic characteristics. RESULTS: The study comprised 874 249 mental health consultations. Telehealth use peaked in Victoria (61.6%) during July 2020 and in NSW during August 2021 (52.5%). Telehealth use continued throughout 2021 with an increase in video consultations from July 2021 onwards in both states. Proportions of mental health treatment plan consultations via telephone decreased from July 2021 with a concomitant increase in video. Telehealth was more likely to be used by females, in Victoria, in regional/remote regions and during 2020. Video was more likely to be used than telephone for mental health treatment plans/reviews compared with mental health consultations. Compared with people aged 25-29, video was most likely to be used by ages 20-24 and least by those aged 80 and over. There was no evidence for sex differences when comparing telephone and video. CONCLUSIONS: This study presents a comprehensive understanding of the important role telehealth played in the delivery of mental health consultations during the first 21 months of the pandemic, including sociodemographics of patients utilising telehealth. The findings can assist general practices with future planning for the delivery of mental health services via telehealth.

A national census of medicines use: a 24-hour snapshot of Australians aged 50 years and older.

OBJECTIVE: To explore the current use of conventional and complementary medicines in Australians aged ≥ 50 years. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional postal survey sent to a random sample of 4500 Australians aged ≥ 50 years between June 2009 and February 2010. MAIN OUTCOME MEASURES: Prevalence of medicines use, reasons for medicines use and sources of medicines. RESULTS: Response rate was 37.3%. Medicines use was very common; 87.1% of participants took one or more medicines and 43.3% took five or more in the previous 24 hours. Complementary medicines were used by 46.3% of participants, 87.4% of whom used both conventional and complementary medicines. The most commonly used medicines were antihypertensive agents (43.2% of participants), natural marine and animal products including fish oil and glucosamine (32.4%) and lipid-lowering agents (30.4%). Doctors recommended 79.3% of all medicines and 93.0% of conventional medicines. Pharmacists commonly recommended occasional medicines (ie, as needed), while friends, family and media most often influenced use of complementary medicines. CONCLUSIONS: The use of multiple medicines is common and higher than reported in the 1995 National Health Survey. Today, much medicines use is to prevent future disease by influencing risk factors. High levels of polypharmacy highlight the need to support the safe and effective use of medicines in the community. Although doctors recommend or prescribe most medicines, self-directed medication use is common. This highlights the need for consumer access to accurate information and strategies to improve health literacy about medicines.

Prescribing Data in General Practice Demonstration (PDGPD) project--a cluster randomised controlled trial of a quality improvement intervention to achieve better prescribing for chronic heart failure and hypertension.

BACKGROUND: Research literature consistently documents that scientifically based therapeutic recommendations are not always followed in the hospital or in the primary care setting. Currently, there is evidence that some general practitioners in Australia are not prescribing appropriately for patients diagnosed with 1) hypertension (HT) and 2) chronic heart failure (CHF). The objectives of this study were to improve general practitioner's drug treatment management of these patients through feedback on their own prescribing and small group discussions with peers and a trained group facilitator. The impact evaluation includes quantitative assessment of prescribing changes at 6, 9, 12 and 18 months after the intervention. METHODS: A pragmatic multi site cluster RCT began recruiting practices in October 2009 to evaluate the effects of a multi-faceted quality improvement (QI) intervention on prescribing practice among Australian general practitioners (GP) in relation to patients with CHF and HT. General practices were recruited nationally through General Practice Networks across Australia. Participating practices were randomly allocated to one of three groups: two groups received the QI intervention (the prescribing indicator feedback reports and small group discussion) with each group undertaking the clinical topics (CHF and HT) in reverse order to the other. The third group was waitlisted to receive the intervention 6 months later and acted as a "control" for the other two groups.De-identified data on practice, doctor and patient characteristics and their treatment for CHF and HT are extracted at six-monthly intervals before and after the intervention. Post-test comparisons will be conducted between the intervention and control arms using intention to treat analysis and models that account for clustering of practices in a Network and clustering of patients within practices and GPs. DISCUSSION: This paper describes the study protocol for a project that will contribute to the development of acceptable and sustainable methods to promote QI activities within routine general practice, enhance prescribing practices and improve patient outcomes in the context of CHF and HT. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR), Trial # 320870.

Qualitative Case Study: A Pilot Program to Improve the Integration of Care in a Vulnerable Inner-City Community.

Introduction: There is a strong correlation between vulnerable populations and poor health outcomes. Growing evidence suggests that person-centred interventions using 'link workers' can support communities to navigate and engage with health and community services, leading to improved health service access. We describe the initial phase and qualitative evaluation of a Healthy Living Program, supported by a link worker role. The Program aimed to improve health service access for residents of an Australian inner-city suburb. Methods: To inform future program development, semi-structured interviews were conducted with clients and stakeholders (n = 21). The interviews were analysed thematically to understand program impact, success factors, constraints and potential improvements. Results: Key themes relating to impacts were a new model of working with community, improved access to services, and responsiveness to community need. Key factors for success included being a trusted, consistent presence, having knowledge of the community and health system, and successful engagement with the community and stakeholders. The constraints included difficulty influencing health system change and lack of community input. Suggested improvements were expanding the service, enhancing health system change and increasing community involvement. Conclusion: Knowledge gained from this study will inform future integrated approaches in health districts to address health inequities in areas of need.

The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records.

Purpose: Frailty is a prevalent condition in older adults. Identification of frailty using an electronic Frailty Index (eFI) has been successfully implemented across general practices in the United Kingdom. However, in Australia, the eFI remains understudied. Therefore, we aimed to (i) examine the feasibility of deriving an eFI from Australian general practice records and (ii) describe the prevalence of frailty as measured by the eFI and the prevalence with socioeconomic status and geographic remoteness. Participants and Methods: This retrospective analysis included patients (≥70 years) attending any one of >700 general practices utilizing the Australian MedicineInsight data platform, 2017-2018. A 36-item eFI was derived using standard methodology, with frailty classified as mild (scores 0.13-0.24); moderate (0.25-0.36) or severe (≥0.37). Socioeconomic status (Socio-Economic Indexes for Areas (SEIFA) index)) and geographic remoteness (Australian Statistical Geography Standard (ASGC) remoteness areas) were also examined. Results: In total, 79,251 patients (56% female) were included, mean age 80.0 years (SD 6.5); 37.4% (95% CI 37.0-37.7) were mildly frail, 16.7% (95% CI 16.4-16.9) moderately frail, 4.8% (95% CI 4.7-5.0) severely frail. Median eFI score was 0.14 (IQR 0.08 to 0.22); maximum eFI score was 0.69. Across all age groups, moderate and severe frailty was significantly more prevalent in females (P < 0.001). Frailty severity increased with increasing age (P < 0.001) and was strongly associated with socioeconomic disadvantage (P < 0.001) but not with geographic remoteness. Conclusion: Frailty was identifiable from routinely collected general practice data. Frailty was more prevalent in socioeconomically disadvantaged groups, women and older patients and existed in all levels of remoteness. Routine implementation of an eFI could inform interventions to prevent or reduce frailty in all older adults, regardless of location.

Frequent users of health services among community-based older Australians: Characteristics and association with mortality.

OBJECTIVES: To investigate characteristics of frequent users of general practice (GP; ≥21 visits in a year), medical specialist (≥10 visits), emergency department (ED; ≥2 presentations) and hospital services (≥2 overnight hospitalisations) and the association with mortality for people aged over 75 years. METHODS: The study included residents from Central and Eastern Sydney, Australia, aged over 75 years who participated in a large community-dwelling cohort study. Demographic, social and health characteristics data were extracted from the 45 and Up Study survey. Health service (GP, medical specialist, ED and hospitalisations) use and mortality data were extracted from linked administrative data. We calculated adjusted prevalence ratios to identify independent characteristics associated with frequent users of services at baseline (approx. 2008) and adjusted hazard ratios to assess the association between frequent users of services and mortality. RESULTS: Frequent users of services (GPs, medical specialists, EDs and hospitals) were more likely to be associated with ever having had heart disease and less likely to be associated with reporting good quality of life. Characteristics varied by service type. Frequent users of services were 1.5-2.0 times more likely to die within 7 years compared to those who were less frequent service users after controlling for all significant factors. CONCLUSIONS: Our analysis found that frequent service users aged over 75 years had poorer quality of life, more complex health conditions and higher mortality and so their health service use was not inappropriate. However, better management of these frequent service users may lead to better health outcomes.

Drug interaction alerts in software--what do general practitioners and pharmacists want?

OBJECTIVE: To explore Australian general practitioners' and pharmacists' preferences in relation to content, format and usability of drug interaction alerts in prescribing and dispensing software. DESIGN, PARTICIPANTS AND SETTING: Surveys that sought opinions on drug interaction decision support were mailed to a random sample of GPs and community pharmacists (1000 of each) in June 2010. MAIN OUTCOME MEASURES: Usefulness of various components of drug interaction information; preferred format of drug interaction alerts; levels of agreement on the value of various usability features; aspects of drug interaction decision support users would most like to change. RESULTS: Surveys were returned by 219 GPs and 170 pharmacists. Of the 191 GPs and 138 pharmacists included in the analysis, the vast majority considered severity, clinical effects and management advice to be mostly or sometimes useful in drug interaction alerts. The most popular drug interaction alert format--favoured by 131 GPs (69%) and 115 pharmacists (83%)--was one with headings and one or two succinct bullet points under each. The vast majority of respondents also wanted to be able to differentiate drug interaction alerts by severity, and a majority agreed that it should be made more difficult to override alerts for severe interactions and that it should be mandatory to provide a reason for doing so. CONCLUSIONS: GPs and pharmacists want drug interaction alert information to be relevant, useful, concise, and easy to read and comprehend. Software vendors and knowledge providers could improve drug interaction decision support by making changes to the content and format of drug interaction alerts according to our recommendations.

Electronic information and clinical decision support for prescribing: state of play in Australian general practice.

BACKGROUND: Investments in eHealth worldwide have been mirrored in Australia, with >90% of general practices computerized. Recent eHealth incentives promote the use of up to date electronic information sources relevant to general practice with flexibility in mode of access. OBJECTIVE: To determine GPs' access to and use of electronic information sources and computerized clinical decision support systems (CDSSs) for prescribing. METHODS: Semi-structured interviews were conducted with 18 experienced GPs and nine GP trainees in New South Wales, Australia in 2008. A thematic analysis of interview transcripts was undertaken. RESULTS: Information needs varied with clinical experience, and people resources (specialists, GP peers and supervisors for trainees) were often preferred over written formats. Experienced GPs used a small number of electronic resources and accessed them infrequently. Familiarity from training and early clinical practice and easy access were dominant influences on resource use. Practice time constraints meant relevant information needed to be readily accessible during consultations, requiring integration or direct access from prescribing software. Quality of electronic resource content was assumed and cost a barrier for some GPs. CONCLUSIONS: The current Australian practice incentives do not prescribe which information resources GPs should use. Without integration into practice computing systems, uptake and routine use seem unlikely. CDSS developments must recognize the time pressures of practice, preference for integration and cost concerns. Minimum standards are required to ensure that high-quality information resources are integrated and regularly updated. Without standards, the anticipated benefits of computerization on patient safety and health outcomes will be uncertain.

Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process.

BACKGROUND: Electronic prescribing is increasingly being used in primary care and in hospitals. Studies on the effects of e-prescribing systems have found evidence for both benefit and harm. The aim of this study was to identify features of e-prescribing software systems that support patient safety and quality of care and that are useful to the clinician and the patient, with a focus on improving the quality use of medicines. METHODS: Software features were identified by a literature review, key informants and an expert group. A modified Delphi process was used with a 12-member multidisciplinary expert group to reach consensus on the expected impact of the features in four domains: patient safety, quality of care, usefulness to the clinician and usefulness to the patient. The setting was electronic prescribing in general practice in Australia. RESULTS: A list of 114 software features was developed. Most of the features relate to the recording and use of patient data, the medication selection process, prescribing decision support, monitoring drug therapy and clinical reports. The expert group rated 78 of the features (68%) as likely to have a high positive impact in at least one domain, 36 features (32%) as medium impact, and none as low or negative impact. Twenty seven features were rated as high positive impact across 3 or 4 domains including patient safety and quality of care. Ten features were considered "aspirational" because of a lack of agreed standards and/or suitable knowledge bases. CONCLUSIONS: This study defines features of e-prescribing software systems that are expected to support safety and quality, especially in relation to prescribing and use of medicines in general practice. The features could be used to develop software standards, and could be adapted if necessary for use in other settings and countries.

Complementary medicine in general practice - a national survey of GP attitudes and knowledge.

BACKGROUND: Integrative medicine is a holistic approach to patient care that utilises both conventional and complementary therapy. This article compares the demographics of Australian general practitioners who do, and those who do not, practise integrative medicine, and their perceptions and knowledge about complementary medicines. METHODS: A postal survey sent to a random sample of 4032 Australian GPs. RESULTS: Data from 1178 GPs was analysed. While GPs who practise integrative medicine were more knowledgeable about complementary medicine and more aware of potential adverse reactions, there were significant knowledge gaps for both groups. DISCUSSION: Many GPs incorporate complementary medicines into their practice, whether or not they identify with the 'integrative medicine' label. General practitioners need to be well informed about the evidence base for, and potential risks of, complementary medicines to ensure effective decision making. Use of available resources and inclusion of complementary medicine in education programs may assist this.

It is feasible to flag 'near end-of-life' status in older patients from routine general practice data.

METHOD: A retrospective chart review was used to assess the feasibility of identifying these indicators in the data (160,897 patients from 464 practices across Australia). Conditional logistic regression was used to assess the independent contribution of nEOL indicators in patients aged 75-84 and ≥85 years using a case-control design matching by practice. RESULTS: The strongest indicators for nEOL status were advanced malignancy, residential aged care, nutritional vulnerability, anaemia, cognitive impairment and heart failure. Other indicators included hospital attendance, pneumonia, decubitus ulcer, chronic obstructive pulmonary disease, antipsychotic prescription, male sex and stroke. DISCUSSION: Consideration of routinely collected patient data may suggest nEOL status and trigger advance care planning discussions.

Systematic review of interventions to improve prescribing.

OBJECTIVE: To update 2 comprehensive reviews of systematic reviews on prescribing interventions and identify the latest evidence about the effectiveness of the interventions. DATA SOURCES: Systematic searches for English-language reports of experimental and quasi-experimental research were conducted in PubMed (1951-May 2007), EMBASE (1974-March 2008), International Pharmaceutical Abstracts (1970-March 2008), and 11 other bibliographic databases of medical, social science, and business research. Following an initial title screening process and after selecting 6 specific intervention categories (identified from the previous reviews) in community settings, 2 reviewers independently assessed abstracts and then full studies for relevance and quality and extracted relevant data using formal assessment and data extraction tools. Results were then methodically incorporated into the findings of the 2 earlier reviews of systematic reviews. DATA SELECTION AND SYNTHESIS: Twenty-nine of 26,314 articles reviewed were assessed to be of relevant, high-quality research. Audit and feedback, together with educational outreach visits, were the focus of the majority of recent, high-quality research into prescribing interventions. These interventions were also the most effective in improving prescribing practice. A smaller number of studies included a patient-mediated intervention; this intervention was not consistently effective. There is insufficient recent research into manual reminders to confidently update earlier reviews and there remains insufficient evidence to draw conclusions regarding the effectiveness of local consensus processes or multidisciplinary teams. CONCLUSIONS: Educational outreach as well as audit and feedback continue to dominate research into prescribing interventions. These 2 prescribing interventions also most consistently show positive results. Much less research is conducted into other types of interventions and there is still very little effort to systematically test why interventions do or do not work.

Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990-2007).

BACKGROUND: Computerised clinical decision support systems (CDSSs) are used widely to improve quality of care and patient outcomes. This systematic review evaluated the impact of CDSSs in targeting specific aspects of prescribing, namely initiating, monitoring and stopping therapy. We also examined the influence of clinical setting (institutional vs ambulatory care), system- or user-initiation of CDSS, multi-faceted vs stand alone CDSS interventions and clinical target on practice changes in line with the intent of the CDSS. METHODS: We searched Medline, Embase and PsychINFO for publications from 1990-2007 detailing CDSS prescribing interventions. Pairs of independent reviewers extracted the key features and prescribing outcomes of methodologically adequate studies (experiments and strong quasi-experiments). RESULTS: 56 studies met our inclusion criteria, 38 addressing initiating, 23 monitoring and three stopping therapy. At the time of initiating therapy, CDSSs appear to be somewhat more effective after, rather than before, drug selection has occurred (7/12 versus 12/26 studies reporting statistically significant improvements in favour of CDSSs on = 50% of prescribing outcomes reported). CDSSs also appeared to be effective for monitoring therapy, particularly using laboratory test reminders (4/7 studies reporting significant improvements in favour of CDSSs on the majority of prescribing outcomes). None of the studies addressing stopping therapy demonstrated impacts in favour of CDSSs over comparators. The most consistently effective approaches used system-initiated advice to fine-tune existing therapy by making recommendations to improve patient safety, adjust the dose, duration or form of prescribed drugs or increase the laboratory testing rates for patients on long-term therapy. CDSSs appeared to perform better in institutional compared to ambulatory settings and when decision support was initiated automatically by the system as opposed to user initiation. CDSSs implemented with other strategies such as education were no more successful in improving prescribing than stand alone interventions. Cardiovascular disease was the most studied clinical target but few studies demonstrated significant improvements on the majority of prescribing outcomes. CONCLUSION: Our understanding of CDSS impacts on specific aspects of the prescribing process remains relatively limited. Future implementation should build on effective approaches including the use of system-initiated advice to address safety issues and improve the monitoring of therapy.

Safety and efficacy of a testosterone metered-dose transdermal spray for treating decreased sexual satisfaction in premenopausal women: a randomized trial.

BACKGROUND: It is not known whether premenopausal women who report low sexual satisfaction and have low circulating testosterone levels will benefit from testosterone therapy. OBJECTIVE: To evaluate the effects of exogenous testosterone in premenopausal women reporting diminished sexual function. DESIGN: Randomized, double-blind, placebo-controlled, dose-ranging trial. SETTING: 6 Australian medical centers. PATIENTS: 261 women age 35 to 46 years who reported a decrease in satisfying sexual activity relative to their younger years and had a morning serum free testosterone level less than 3.8 pmol/L (<1.1 pg/mL). INTERVENTION: 3 different doses of testosterone administered by a metered-dose transdermal spray for 16 weeks or placebo. MEASUREMENTS: The primary outcome was the mean number of self-reported satisfactory sexual events (SSEs) over 28 days at week 16. The frequency of SSEs, total number of sexual events (every 4 weeks), scores from the modified Sabbatsberg Sexual Self-Rating Scale and the Psychological General Well-Being Index, and safety variables were also measured. RESULTS: The number of SSEs increased during the treatment period in the active treatment groups and the placebo group. The mean number of SSEs over 28 days at week 16 was statistically significantly greater for women treated with the intermediate dose of testosterone therapy (one 90-microL spray) than for women treated with placebo. The least-squares mean was 2.48 versus 1.70 SSEs, respectively (event rate ratio, 1.49 [95% CI, 1.01 to 2.18]; P = 0.04). The frequency of SSEs in women treated with low and high doses of testosterone did not differ from that in women who took placebo. The rate ratios based on the least-squares mean rates of SSEs during weeks 4 to 16 for each treatment group showed statistically significant or borderline significant increases in all testosterone groups compared with the placebo group. The rate ratios for the one 56-microL spray, one 90-microL spray, and two 90-microL sprays treatment groups were 1.34 (CI, 0.97 to 1.85; P = 0.081), 1.48 (CI, 1.07 to 2.06; P = 0.018), and 1.38 (CI, 1.00 to 1.92; P = 0.052), respectively. At week 16, 95% of women treated with the one 90-microL dose had a free testosterone level less than the upper limit of the reference range for women. The most frequently reported adverse event was hypertrichosis, which was dose-related and mostly confined to the application site. No clinically relevant changes in blood test values, serum biochemical variables, or vital signs occurred. LIMITATION: The study duration was short, and the placebo effect was strong. CONCLUSION: A daily 90-microL dose of transdermal testosterone improves self-reported sexual satisfaction for premenopausal women with reduced libido and low serum-free testosterone levels by a mean of 0.8 SSE per month. The rate of SSEs with higher and lower testosterone doses did not differ from that with placebo.

Dissonance on perceptions of end-of-life needs between health-care providers and members of the public: Quantitative cross-sectional surveys.

OBJECTIVE: To investigate views, determinants and barriers to end-of-life discussions for doctors, nurses and members of the public (MoP) and their acceptability of risk prediction tools. METHODS: Concurrent surveys of 360 doctors and nurses and 497 MoP. RESULTS: Sixty per cent of clinicians reported high confidence in initiating end-of-life discussions, and 55.8% regularly engaged in them. Barriers to end-of-life communication reported by clinicians were uncertainty on the likely time to death (44.7%) and family requests to withhold information from patients (44.2%). By contrast, most (92.8%) MoP wanted information about life expectancy; 89.9% wanted involvement in treatment decisions if the likelihood of death was high; and 23.8% already had an advance care directive. CONCLUSIONS: A dissonance exists between doctor/nurses perception of older peoples' preference for receiving prognostic information and the public desire for involvement in decision-making at the end of life. As public attitudes change, strategies for greater involvement of patients in shared end-of-life planning are warranted.

Which frailty scale for patients admitted via Emergency Department? A cohort study.

OBJECTIVES: To determine the prevalence of frailty in Emergency Departments (EDs); examine the ability of frailty to predict poor outcomes post-discharge; and identify the most appropriate instrument for routine ED use. METHODS: In this prospective study we simultaneously assessed adults 65+yrs admitted and/or spent one night in the ED using Fried, the Clinical Frailty Scale (CFS), and SUHB (Stable, Unstable, Help to walk, Bedbound) scales in four Australian EDs for rapid recognition of frailty between June 2015 and March 2016. RESULTS: 899 adults with complete follow-up data (mean (SD) age 80.0 (8.3) years; female 51.4%) were screened for frailty. Although different scales yielded vastly different frailty prevalence (SUHB 9.7%, Fried 30.4%, CFS 43.7%), predictive discrimination of poor discharge outcomes (death, poor self-reported health/quality of life, need for community services post-discharge, or reattendance to ED after the index hospitalization) for all identical final models was equivalent across all scales (AUROC 0.735 for Fried, 0.730 for CFS and 0.720 for SUHB). CONCLUSION: This study confirms that screening for frailty in older ED patients can inform prognosis and target discharge planning including community services required. The CFS was as accurate as the Fried and SUHB in predicting poor outcomes, but more practical for use in busy clinical environments with lower level of disruption. Given the limitations of objectively measuring frailty parameters, self-report and clinical judgment can reliably substitute the assessment in EDs. We propose that in a busy ED environment, frailty scores could be used as a red flag for poor follow-up outcome.