Behaviour change interventions to improve physical activity in adults: a systematic review of economic evaluations.

BACKGROUND: Behaviour change interventions can result in lasting improvements in physical activity (PA). A broad implementation of behaviour change interventions are likely to be associated with considerable additional costs, and the evidence is unclear whether they represent good value for money. The aim of this study was to investigate costs and cost-effectiveness of behaviour change interventions to increase PA in community-dwelling adults. METHODS: A search for trial-based economic evaluations investigating behaviour change interventions versus usual care or alternative intervention for adults living in the community was conducted (September 2023). Studies that reported intervention costs and incremental cost-effectiveness ratios (ICERs) for PA or quality-adjusted life years (QALYs) were included. Methodological quality was assessed using the Consensus Health Economic Criteria (CHEC-list). A Grading of Recommendations Assessment, Development and Evaluation style approach was used to assess the certainty of evidence (low, moderate or high certainty). RESULTS: Sixteen studies were included using a variety of economic perspectives. The behaviour change interventions were heterogeneous with 62% of interventions being informed by a theoretical framework. The median CHEC-list score was 15 (range 11 to 19). Median intervention cost was US$313 per person (range US$83 to US$1,298). In 75% of studies the interventions were reported as cost-effective for changes in PA (moderate certainty of evidence). For cost per QALY/gained, 45% of the interventions were found to be cost-effective (moderate certainty of evidence). No specific type of behaviour change intervention was found to be more effective. CONCLUSIONS: There is moderate certainty that behaviour change interventions are cost-effective approaches for increasing PA. The heterogeneity in economic perspectives, intervention costs and measurement should be considered when interpreting results. There is a need for increased clarity when reporting the functional components of behaviour change interventions, as well as the costs to implement them.

Performance of 21 Early Warning System scores in predicting in-hospital deterioration among undifferentiated admitted patients managed by ambulance services.

BACKGROUND: The optimal Early Warning System (EWS) scores for identifying patients at risk of clinical deterioration among those transported by ambulance services remain uncertain. This retrospective study compared the performance of 21 EWS scores to predict clinical deterioration using vital signs (VS) measured in the prehospital or emergency department (ED) setting. METHODS: Adult patients transported to a single ED by ambulances and subsequently admitted to the hospital between 1 January 2019 and 18 April 2019 were eligible for inclusion. The primary outcome was 30-day mortality; secondary outcomes included 3-day mortality, admission to intensive care or coronary care units, length of hospital stay and emergency call activations. The discriminative ability of the EWS scores was assessed using the area under the receiver operating characteristic curve (AUROC). Subanalyses compared the performance of EWS scores between surgical and medical patient types. RESULTS: Of 1414 patients, 995 (70.4%) (53.1% male, mean age 68.7±17.5 years) were included. In the ED setting, 30-day mortality was best predicted by VitalPAC EWS (AUROC 0.71, 95% CI (0.65 to 0.77)) and National Early Warning Score (0.709 (0.65 to 0.77)). All EWS scores calculated in the prehospital setting had AUROC <0.70. Rapid Emergency Medicine Score (0.83 (0.73 to 0.92)) and New Zealand EWS (0.88 (0.81 to 0.95)) best predicted 3-day mortality in the prehospital and ED settings, respectively. EWS scores calculated using either prehospital or ED VS were more effective in predicting 3-day mortality in surgical patients, whereas 30-day mortality was best predicted in medical patients. Among the EWS scores that achieved AUROC ≥0.70, no statistically significant differences were detected in their discriminatory abilities to identify patients at risk of clinical deterioration. CONCLUSIONS: EWS scores better predict 3-day as opposed to 30-day mortality and are more accurate when estimated using VS measured in the ED. The discriminatory performance of EWS scores in identifying patients at higher risk of clinical deterioration may vary by patient type.

Health and Wellbeing of Regional and Rural Australian Healthcare Workers during the COVID-19 Pandemic: Baseline Cross-Sectional Findings from the Loddon Mallee Healthcare Worker COVID-19 Study-A Prospective Cohort Study.

BACKGROUND: Coronavirus 19 (COVID-19) has created complex pressures and challenges for healthcare systems worldwide; however, little is known about the impacts COVID-19 has had on regional/rural healthcare workers. The Loddon Mallee Healthcare Worker COVID-19 Study (LMHCWCS) cohort was established to explore and describe the immediate and long-term impacts of the COVID-19 pandemic on regional and rural healthcare workers. METHODS: Eligible healthcare workers employed within 23 different healthcare organisations located in the Loddon Mallee region of Victoria, Australia, were included. In this cohort study, a total of 1313 participants were recruited from November 2020-May 2021. Symptoms of depression, anxiety, post-traumatic stress, and burnout were measured using the Patient Health Questionnaire-9 (PHQ-9), Generalised Anxiety Disorder-7 (GAD-7), Impact of Events Scale-6 (IES-6), and Copenhagen Burnout Inventory (CBI), respectively. Resilience and optimism were measured using the Brief Resilience Scale and Life Orientation Test-Revised (LOT-R), respectively. Subjective fear of COVID-19 was measured using the Fear of COVID-19 Scale. RESULTS: These cross-sectional baseline findings demonstrate that regional/rural healthcare workers were experiencing moderate/severe depressive symptoms (n = 211, 16.1%), moderate to severe anxiety symptoms (n = 193, 14.7%), and high personal or patient/client burnout with median total scores of 46.4 (IQR = 28.6) and 25.0 (IQR = 29.2), respectively. There was a moderate degree of COVID-19-related fear. However, most participants demonstrated a normal/high degree of resilience (n = 854, 65.0%). Based on self-reporting, 15.4% had a BMI from 18.5 to 24.9 kgm2 and 37.0% have a BMI of 25 kgm2 or over. Overall, 7.3% of participants reported they were current smokers and 20.6% reported alcohol consumption that is considered moderate/high-risk drinking. Only 21.2% of the sample reported consuming four or more serves of vegetables daily and 37.8% reported consuming two or more serves of fruit daily. There were 48.0% the sample who reported having poor sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI). CONCLUSION: Regional/rural healthcare workers in Victoria, Australia, were experiencing a moderate to high degree of psychological distress during the early stages of the pandemic. However, most participants demonstrated a normal/high degree of resilience. Findings will be used to inform policy options to support healthcare workers in responding to future pandemics.

Primary Health Care Interventions for Potentially Preventable Ear, Nose, and Throat Conditions in Rural and Remote Areas: A Systematic Review.

Background:Primary and secondary level preventive primary health care programs providing early detection and timely management of ear, nose, and throat (ENT) conditions in rural and remote regions are fundamental to preventing downstream impacts on health, social, and educational outcomes. However, the range and quality of evidence is yet to be reviewed. Objectives: The study objectives were to identify and synthesize the evidence of primary health care interventions for detection and management of ENT conditions in rural and remote areas, and evaluate the quality of the research and effectiveness of interventions. Methods: A systematic literature search of 6 databases (February 2023). The review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement, and the quality appraisal of studies was evaluated using the Mixed Methods Appraisal Tool (initial screening questions: Are there clear research questions? Do the collected data allow to address the research questions?). Results: Ten studies met the inclusion criteria. The results describe interventions for detection and management of respiratory tract infections, otitis media, and ear disease in primary health care settings. No studies met the inclusion criteria for tonsillitis. The role of community-based programs and allied health workers in the detection and management of ENT conditions was found to be effective in rural and remote regions. Only 2 of the studies met the screening criteria for quality appraisal. Conclusions: The study findings may inform future programs and policy development to address detection and management of ENT conditions in rural and remote primary care settings, and supports the need for further research on innovative models of care targeting potentially preventable hospitalizations through primary and secondary level prevention.

The moderating role of psychological resilience in the relationship between fear of COVID-19 and psychological distress, in a cohort of rural and regional healthcare workers. During major lockdowns in Victoria, Australia 2020-2021.

The emergence of the COVID-19 pandemic resulted in substantial pressures for healthcare workers across the world. The association between fear of COVID-19 and psychological distress, and the role of psychological resilience have gained research interest. The current study aimed to investigate the cross-sectional association between fear of COVID-19 and psychological distress, in Australian rural/regional healthcare workers and determine whether resilience modifies this association. Most participants were nurses (38.0%), mean age was 44.9 years, and 80.5% were female (N = 1313). An adjusted logistic regression analysis showed that the highest tertile of the Fear of COVID-19 scale was associated with higher odds of moderate to severe symptoms of anxiety (OR = 3.72, 95% CI = 2.27, 6.11; p < 0.001) and depression (OR = 3.48, 95% CI = 2.30, 5.28; p < 0.001). Healthcare workers with high level of fear of COVID-19 and low level of resilience were much more likely to report moderate to severe symptoms of anxiety (OR = 12.27, 95% CI = 6.65-22.65, p < 0.001) and depression (OR = 12.21, 95% CI = 6.93-21.50, p < 0.001) when compared to healthcare workers with low level of fear of COVID-19 and high level of resilience. A cross-sectional design was used and therefore cause and effect between fear of COVID-19 and psychological distress cannot be inferred. Longitudinal research is needed to investigate the possible causal relationship. These findings highlight the potential mental health effects of fear of COVID-19 on HCWs and demonstrate the importance of resilience as a possible moderator of these effects.

The Utility of Data Collected as Part of Australia's Aboriginal and Torres Strait Islander Health Performance Framework.

Since 2006, the Australian Aboriginal and Torres Strait Islander Health Performance Framework (HPF) reports have provided information about Indigenous Australians' health outcomes. The HPF was designed, in consultation with Indigenous stakeholder groups, to promote accountability and inform policy and research. This paper explores bridging the HPF as a theoretical construct and the publicly available data provided against its measures. A whole-of-framework, whole-of-system monitoring perspective was taken to summarise 289 eligible indicators at the state/territory level, organised by the HPF's tier and group hierarchy. Data accompanying the 2017 and 2020 reports were used to compute improvement over time. Unit change and confidence indicators were developed to create an abstract but interpretable improvement score suitable for aggregation and visualisation at scale. The result is an exploratory methodology that summarises changes over time. An example dashboard visualisation is presented. The use of secondary data inevitably invites acknowledgments of what analysis cannot say, owing to methods of collection, sampling bias, or unobserved variables and the standard mantra regarding correlation not being causation (though no attempt has been made here to infer relationships between indicators, groups, or tiers). The analysis presented questions the utility of the HPF to inform healthcare reform.

Tobacco retailer density and smoking behaviour: how are exposure and outcome measures classified? A systematic review.

INTRODUCTION: To date only a limited number of reviews have focused on how exposure and outcome measures are defined in the existing literature on associations between tobacco retailer density ('density') and smoking behaviour ('smoking'). Therefore this systematic review classified and summarised how both density and smoking variables are operationalised in the existing literature, and provides several methodological recommendations for future density and smoking research. METHODS: Two literature searches between March and April 2018 and April 2022 were conducted across 10 databases. Inclusion and exclusion criteria were developed and keyword database searches were undertaken. Studies were imported into Covidence. Cross-sectional studies that met the inclusion criteria were extracted and a quality assessment was undertaken. Studies were categorised according to the density measure used, and smoking was re-categorised using a modified classification tool. RESULTS: Large heterogeneity was found in the operationalisation of both measures in the 47 studies included for analysis. Density was most commonly measured directly from geocoded locations using circular buffers at various distances (n = 14). After smoking was reclassified using a smoking classification tool, past-month smoking was the most common smoking type reported (n = 26). CONCLUSIONS: It is recommended that density is measured through length-distance and travel time using the street network and weighted (e.g. by the size of an area), or by using Kernel Density Estimates as these methods provide a more accurate measure of geographical to tobacco and e-cigarette retailer density. The consistent application of a smoking measures classification tool, such as the one developed for this systematic review, would enable better comparisons between studies. Future research should measure exposure and outcome measures in a way that makes them comparable with other studies. IMPLICATIONS: This systematic review provides a strong case for improving data collection and analysis methodologies in studies assessing tobacco retailer density and smoking behaviour to ensure that both exposure and outcome measures are clearly defined and captured. As large heterogeneity was found in the operationalisation of both density and smoking behaviour measures in the studies included for analysis, there is a need for future studies to capture, measure and classify exposure measures accurately, and to define outcome measures in a manner that makes them comparable with other studies.

A five year descriptive analysis of potentially preventable hospitalisations for Ear, Nose, and Throat conditions in regional Victoria, Australia, from 2015 to 2020.

BACKGROUND: Potentially preventable hospitalisations of ear, nose, and throat conditions in the Murray Primary Health Network region have been found to be higher than the state average of Victoria, Australia. This study aimed to examine the association between selected patient-level characteristics and the likelihood of residing in a Murray PHN postcode with higher than expected numbers of potentially preventable ENT hospitalisations. METHODS: Unit record hospital separation data were obtained from the Victorian Admitted Episodes Dataset. Postcodes were classified as having higher than expected numbers of potentially preventable hospitalisations across three subgroups of ENT using indirect standardisation techniques. Differences between patients from 'higher than expected' postcodes and 'other' postcodes with respect to the distribution of demographic and other patient characteristics were determined using chi-squared tests for each ENT subgroup. The results were confirmed by logistic regression analyses using resident of a postcode with higher than expected hospitalisations as the outcome variable. RESULTS: Of the 169 postcodes located in the catchment area, 15 were identified as having higher than expected numbers of upper respiratory tract infection hospitalisations, 14 were identified for acute tonsillitis, and 12 were identified for otitis media. Patients from postcodes with 'higher than expected' hospitalisations for these conditions were more likely than others to be aged between 0 and 9 years, Indigenous, or from a culturally and linguistically diverse background. CONCLUSION: Further investigation of the identified postcodes is warranted to determine access to and utilisation of primary healthcare services in the management of PPH ENT conditions in the region.

Factors influencing adults who participate in a physical activity coaching intervention: a theoretically informed qualitative study.

OBJECTIVE: Behaviour change interventions targeting changes in physical activity (PA) can benefit by examining the underlying mechanisms that promote change. This study explored the use of the Capability, Opportunity, Motivation and Behaviour (COM-B) model and the Theoretical Domains Framework (TDF) to code and contextualise the experiences of participants who completed a PA coaching intervention underpinned by motivational interviewing and cognitive-behavioural therapy. DESIGN: Semistructured interviews were conducted with a purposive sample of participants. SETTING: Interviews were conducted in a tertiary hospital in regional Victoria, Australia. PARTICIPANTS: Eighteen participants who completed a PA coaching intervention were interviewed. The participants were recruited into the coaching intervention because they were insufficiently physically active at the time of recruitment. RESULTS: Thirteen (72%) participants were women and the average age of participants was 54 (±5) years. Four participant themes mapped directly onto five components of the COM-B model, and ten of the TDF domains. Increases in PA were influenced by changes in motivation and psychological capability. The autonomy-supportive PA coaching intervention helped to evoke participants' own reasons (and motives) for change and influenced PA behaviours. Participants reflected on their own social and/or professional strengths, and used these skills to set appropriate PA goals and action plans. The structure of the PA coaching intervention provided clarity on session determinants and a framework from which to set an appropriate agenda. Relational components (eg, non-judgemental listening, collaboration) were continually highlighted as influential for change, and should be considered in future behaviour change intervention design. CONCLUSIONS: We demonstrate the beneficial effect of using theory-informed behaviour change techniques, and delivering them in a style that promotes autonomy and relatedness. The views of participants should be a key consideration in the design and implementation of PA coaching interventions TRIAL REGISTRATION NUMBER: ACTRN12619000036112. Post-results analysis.

Physical activity telephone coaching intervention for insufficiently physically active ambulatory hospital patients: Economic evaluation of the Healthy 4U-2 randomised controlled trial.

The Healthy 4U-2 randomised controlled trial demonstrated that a physical activity (PA) telephone coaching intervention was effective for improving objectively-measured PA and health-related outcomes. The current study reports on an economic evaluation performed alongside the trial to determine whether this effective intervention is also cost-effective from a healthcare funder perspective. Participants (N = 120) were insufficiently physically active adults recruited from an ambulatory care clinic in a public hospital in regional Australia. The primary outcome was change in moderate-to-vigorous physical activity (MVPA) measured using accelerometers. Changes in quality-adjusted life-years (QALYs) were derived from the 12-Item Short Form Health Survey Questionnaire (SF-12). Incremental cost-effectiveness ratios (ICERs) were calculated for each outcome. Uncertainty of cost-effectiveness results were estimated using non-parametric bootstrapping techniques and sensitivity analyses. The mean intervention cost was $132 per person. The control group incurred higher overall costs compared to intervention ($2,465 vs. $1,743, respectively). Relative to control, the intervention resulted in incremental improvements in MVPA and QALYs and was deemed cost-effective. Probabilistic sensitivity analysis indicated that compared to control, the intervention would be cost-effective for improving MVPA and QALYs at very low willingness to pay thresholds. Sensitivity analyses indicated that results were robust to varied assumptions. This study shows that PA telephone coaching was a low-cost strategy for increasing MVPA and QALYs in insufficiently active ambulatory hospital patients. Findings of health benefits and overall cost-savings are uncommon and PA telephone coaching offers a potentially cost-effective investment to produce important public health outcomes.

"Exercise Is My Medicine": A Qualitative Study Exploring the Experiences of Non-admitted Patients Receiving Physical Activity Promotion From Hospital Surgeons.

Background: Hospital clinicians are increasingly encouraged to use outpatient consultations as an avenue to deliver opportunistic health promotion. There is a dearth of evidence regarding the acceptance of health promotion initiatives from hospital patients themselves. Methods: We explored the experiences of non-admitted patients who, during a routine consultation with a hospital surgeon received a recommendation to increase physical activity (PA) and a recommendation to engage in a PA telephone coaching program. Twenty-two semi-structured interviews were conducted with individuals who had received the recommendation and proceeded to enroll in a telephone coaching intervention to identify factors that influenced behavior change. Data were analyzed thematically. Results: Participants' age ranged between 42 and 66 years, with the average age being 54 years. Of the participants, 15 (68%) were women and 7 (32%) were men. Three major themes were identified: (1) the hospital visit represented an opportunity for behavior change that is not to be missed; (2) surgeons were influential in promoting PA change contemplation; and (3) patients welcomed a communication style that promoted autonomy. Conclusions: Almost all patients considered receiving the recommendation to engage with the telephone coaching as acceptable and helpful toward PA change. Although working in time-restricted consultations, surgeons delivered the recommendation in a patient-centered, autonomy-supportive way, which influenced behavior change. Hospitals should explore avenues to integrate health promotion into routine care, confident of the acceptability and appropriateness of health promotion practice to hospital patients.

Benchmarking gambling screens to health-state utility: the PGSI and the SGHS estimate similar levels of population gambling-harm.

BACKGROUND: Both the Problem Gambling Severity Index (PGSI) and the Short Gambling Harms Screen (SGHS) purport to identify individuals harmed by gambling. However, there is dispute as to how much individuals are harmed, conditional on their scores from these instruments. We used an experienced utility framework to estimate the magnitude of implied impacts on health and wellbeing. METHODS: We measured health utility using the Short Form Six-Dimension (SF-6D), and used this as a benchmark. All 2603 cases were propensity score weighted, to balance the affected group (i.e., SGHS 1+ or PGSI 1+ vs 0) with a reference group of gamblers with respect to risk factors for gambling harm. Weighted regression models estimated decrements to health utility scores attributable to gambling, whilst controlling for key comorbidities. RESULTS: We found significant attributable decrements to health utility for all non-zero SGHS scores, as well as moderate-risk and problem gamblers, but not for PGSI low-risk gamblers. Applying these coefficients to population data, we find a similar total burden for both instruments, although the SGHS more specifically identified the subpopulation of harmed individuals. For both screens, outcomes on the SF-6D implies that about two-thirds of the 'burden of harm' is attributable to gamblers outside of the most severe categories. CONCLUSIONS: Gambling screens have hitherto provided nominal category membership, it has been unclear whether moderate or 'at-risk' scores imply meaningful impact, and accordingly, population surveys have typically focused on problem gambling prevalence. These results quantify the health utility decrement for each category, allowing for tracking of the aggregate population impact based on all affected gamblers.

Scope and quality of economic evaluations of Aboriginal and Torres Strait Islander health programs: a systematic review.

OBJECTIVES: Identify the number, type, scope and quality of economic evaluations of Aboriginal and Torres Strait Islander health programs. METHODS: A systematic review of peer-reviewed and grey literature was conducted for articles published from 2010 to 2020 that reported a full economic evaluation of Aboriginal and Torres Strait Islander health programs. Data extraction included: type of economic evaluation, comparators, data sources and concerns, and outcome measures. Methodological quality was assessed using the Drummond checklist. RESULTS: Thirteen publications met inclusion criteria: two cost-consequence analyses, two cost-effectiveness analyses, five cost-utility analyses, and four cost-benefit/return on investment analyses. Most studies (n=10) adopted a health system perspective and used a range of key data sources for economic analyses. Ten studies identified data access limitations that restricted analyses and two studies identified data quality concerns. Twelve studies were of good methodological quality and one was of average quality. CONCLUSIONS: Despite significant investment in strategies to close the gap in health outcomes for Aboriginal and Torres Strait Islander people, there is limited evidence about what constitutes a cost-effective investment in Aboriginal and Torres Strait Islander healthcare. IMPLICATIONS FOR PUBLIC HEALTH: More economic evaluation is required to justify the significant investment in health programs for Aboriginal and Torres Strait Islander people.

The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis.

BACKGROUND: It is unclear which Early Warning System (EWS) score best predicts in-hospital deterioration of patients when applied in the Emergency Department (ED) or prehospital setting. METHODS: This systematic review (SR) and meta-analysis assessed the predictive abilities of five commonly used EWS scores (National Early Warning Score (NEWS) and its updated version NEWS2, Modified Early Warning Score (MEWS), Rapid Acute Physiological Score (RAPS), and Cardiac Arrest Risk Triage (CART)). Outcomes of interest included admission to intensive care unit (ICU), and 3-to-30-day mortality following hospital admission. Using DerSimonian and Laird random-effects models, pooled estimates were calculated according to the EWS score cut-off points, outcomes, and study setting. Risk of bias was evaluated using the Newcastle-Ottawa scale. Meta-regressions investigated between-study heterogeneity. Funnel plots tested for publication bias. The SR is registered in PROSPERO (CRD42020191254). RESULTS: Overall, 11,565 articles were identified, of which 20 were included. In the ED setting, MEWS, and NEWS at cut-off points of 3, 4, or 6 had similar pooled diagnostic odds ratios (DOR) to predict 30-day mortality, ranging from 4.05 (95% Confidence Interval (CI) 2.35-6.99) to 6.48 (95% CI 1.83-22.89), p = 0.757. MEWS at a cut-off point ≥3 had a similar DOR when predicting ICU admission (5.54 (95% CI 2.02-15.21)). MEWS ≥5 and NEWS ≥7 had DORs of 3.05 (95% CI 2.00-4.65) and 4.74 (95% CI 4.08-5.50), respectively, when predicting 30-day mortality in patients presenting with sepsis in the ED. In the prehospital setting, the EWS scores significantly predicted 3-day mortality but failed to predict 30-day mortality. CONCLUSION: EWS scores' predictability of clinical deterioration is improved when the score is applied to patients treated in the hospital setting. However, the high thresholds used and the failure of the scores to predict 30-day mortality make them less suited for use in the prehospital setting.

Exploring the ability of self-report measures to identify risk of high treatment burden in chronic disease patients: a cross-sectional study.

BACKGROUND: Effective self-management of chronic health conditions is key to avoiding disease escalation and poor health outcomes, but self-management abilities vary. Adequate patient capacity, in terms of abilities and resources, is needed to effectively manage the treatment burden associated with chronic health conditions. The ability to measure different elements of capacity, as well as treatment burden, may assist to identify those at risk of poor self-management. Our aims were to: 1. Investigate correlations between established self-report tools measuring aspects of patient capacity, and treatment burden; and 2. Explore whether individual questions from the self-report tools will correlate to perceived treatment burden without loss of explanation. This may assist in the development of a clinical screening tool to identify people at risk of high treatment burden. METHODS: A cross-sectional survey in both a postal and online format. Patients reporting one or more chronic diseases completed validated self-report scales assessing social, financial, physical and emotional capacity; quality of life; and perceived treatment burden. Logistic regression analysis was used to explore relationships between different capacity variables, and perceived high treatment burden. RESULTS: Respondents (n = 183) were mostly female (78%) with a mean age of 60 years. Most participants were multimorbid (94%), with 45% reporting more than five conditions. 51% reported a high treatment burden. Following logistic regression analyses, high perceived treatment burden was correlated with younger age, material deprivation, low self-efficacy and usual activity limitation. These factors accounted for 50.7% of the variance in high perceived treatment burden. Neither disease burden nor specific diagnosis was correlated with treatment burden. CONCLUSIONS: This study supports previous observations that psychosocial factors may be more influential than specific diagnoses for multimorbid patients in managing their treatment workload. A simple capacity measure may be useful to identify those who are likely to struggle with healthcare demands.

Identifying tobacco retailers in the absence of a licensing system: lessons from Australia.

OBJECTIVES: To estimate the proportion of retailers that sell tobacco in the absence of appropriate local government oversight, and to describe the characteristics by which they differ from those that can expect to receive such oversight. METHODS: A database of listed tobacco retailers was obtained from a regional Victorian local government. Potential unlisted tobacco retailers were added using online searches, and attempts to visit all retailers were undertaken. GPS coordinates and sales type information of retailers that sold tobacco were recorded and attached to neighbourhood-level data on socioeconomic disadvantage and smoking prevalence using ArcMap. Logistic regression analyses, χ2 tests and t-tests were undertaken to explore differences in numbers of listed and unlisted retailers by business and neighbourhood-level characteristics. RESULTS: Of 125 confirmed tobacco retailers, 43.2% were trading potentially without government oversight. Significant differences were found between listed and unlisted retailers by primary business type (p<0.001), and sales type (p<0.001) but not by the other characteristics. CONCLUSIONS: The database of tobacco retailers was inaccurate in two ways: (1) a number of listed retailers no longer operated or sold tobacco, and (2) 43.2% of businesses confirmed as selling tobacco were missing. As no form of licensing system exists in Victoria, it is difficult to identify the number of retailers operating, or to determine how many receive formal regulatory oversight. A positive licensing system is recommended to regulate the sale of tobacco and to generate a comprehensive database of retailers, similar to that which exists for food registration, gaming and liquor-licensed premises.

Self-efficacy in disadvantaged communities: Perspectives of healthcare providers and clients.

OBJECTIVE: Most chronic disease self-management interventions emphasise the integral role of self-efficacy in achieving behaviour change. We explored the applicability of this model in a low-income setting, from the perspective of both patients and clinicians. METHODS: Interviews with multimorbid patients and their health providers at two rural community health centres in Victoria, Australia. We used a phenomenological methodology, exploring themes of confidence to manage health, outcome expectations and goals. RESULTS: Many assumptions in which the self-efficacy model is grounded did not apply to this population. Past experiences and resource constraints, especially poverty and healthcare access, influenced confidence, expectations and the ability to achieve desired outcomes. DISCUSSION: The focus of traditional self-management support on individual behaviour change disadvantages rural low-income patients, who face barriers related to life experience and resource constraints. For this group, self-management support needs to return to its roots, moving away from a narrow conception of behaviour change and reinstating the role of 'support' into 'self-management support' interventions. Health providers working in rural low-income settings should recognise the limits inherent in self-efficacy focussed interventions and think broadly about engaging with their clients in whatever way supports them to find a life with meaning and purpose.

Stressful Life Events Precede Gambling Problems, and Continued Gambling Problems Exacerbate Stressful Life Events; A Life Course Calendar Study.

Do stressful life events cause gambling problems, or do gambling problems cause stressful life events? This study used a retrospective design to examine the temporal order of these associations. Specifically, the study employed a life course calendar in a self-directed online survey to minimise memory biases common in retrospective designs. A total of 1564 US respondents who had gambled at any point in their life (51.0% female, median age 46) were asked whether, for each year of their adult life, they had experienced each of eight stressful life events, and whether they had engaged in casual or heavy gambling, drinking or drug use, with heavy gambling defined in line with a problem gambling definition. We found that five stressful life events were associated with the onset of heavy gambling: work issues, financial issues, legal issues, relationship issues and the death of a loved one. The same five stressful life events predict the cessation of an episode of heavy gambling, indicating a possible tendency for gambling problems to self-resolve in the presence of stress. Insights are also gained into comorbidities with alcohol and drug use, and the course of stressful life events and gambling and substance use throughout the life course, albeit with a non-representative sample. The methodology allows tentative conclusions in terms of possible causation pathways, indicating that stressful life events may play a role both in the onset and the maintenance (or cessation) of gambling problems.

Audiologists' perspective on the treatment of ear-related ear, nose, and throat conditions in rural Victoria.

OBJECTIVES: To understand the experience of audiologists in managing and treating ear-related ear, nose and throat conditions in rural areas, and to identify the compounding factors that influence patient outcomes and potential targets for intervention. DESIGN: A focus group was conducted using a qualitative descriptive approach. Responses were audio-recorded, transcribed and thematically analysed. SETTING: The focus group was conducted in the rural town of Mildura in the state of Victoria, Australia. PARTICIPANTS: A sample of 19 audiologists from Victoria participated, of which 14 were rurally based and 5 were metropolitan-based. The length of participants' professional experience ranged from 1 to 43 years. RESULTS: Long wait lists, and a lack of locally based ear, nose and throat surgeons were identified as barriers to the treatment of ear-related ear, nose and throat conditions. Open communication between health services and efficient care for time-sensitive conditions were seen as outcomes of good practice. Hand hygiene, nose-blowing, reducing tobacco smoke exposure and promoting the use of noise protective equipment were the 4 community health campaigns mentioned to support ear care for those residing in rural areas. Additional themes of ear conditions, treatment, management and primary health care were identified. CONCLUSION: Improving referral pathways for the treatment of ear-related ear, nose and throat conditions, and providing education about ear, nose and throat assessment and treatment in primary health care settings could increase appropriate referrals, improve patient outcomes and reduce wait periods for treatment.

Multimorbidity and its effect on perceived burden, capacity and the ability to self-manage in a low-income rural primary care population: A qualitative study.

INTRODUCTION: Multimorbidity is increasing in prevalence, especially in low-income settings. Despite this, chronic conditions are often managed in isolation, potentially leading to burden-capacity imbalance and reduced treatment adherence. We aimed to explore, in a low-income population with common comorbidities, how the specific demands of multimorbidity affect burden and capacity as defined by the Cumulative Complexity Model. MATERIALS AND METHODS: Qualitative interviews with thirteen rural community health centre patients in Victoria, Australia. Participants were aged between 47-72 years and reported 3-10 chronic conditions. We asked about perceived capacity and burden in managing health. The Theory of Patient Capacity was used to analyse capacity and Normalisation Process Theory to analyse burden. All data specifically associated with the experience of multimorbidity was extracted from each burden and capacity domain. RESULTS: The capacity domains of biography, resource mobilisation and work realisation were important in relation to multimorbidity. Conditions causing functional impairment (e.g. chronic pain, depression) interacted with physical, psychological and financial capacity, leading to biographical disruption and an inability to realise treatment and life work. Despite this, few people had a treatment plan for these conditions. Participants reported that multimorbidity affected all burden domains. Coherence and appraisal were especially challenging due to condition interactions, with clinicians providing little guidance. DISCUSSION: The capacity and burden deficits highlighted by participants were not associated with any specific diagnosis, but were due to condition interactions, coupled with the lack of health provider support to navigate interactions. Physical, psychological and financial capacities were inseparable, but rarely addressed or understood holistically. Understanding and managing condition and treatment interactions was a key burden task for patients but was often difficult, isolating and overwhelming. This suggests that clinicians should become more aware of linkages between conditions, and include generic, synergistic or cross-disciplinary approaches, to build capacity, reduce burden and encourage integrated chronic condition management.