The Impact of Population-Based Disease Management Services on Health Care Utilisation and Costs: Results of the CAPICHe Trial.

BACKGROUND: Disease management programmes may improve quality of care, improve health outcomes and potentially reduce total healthcare costs. To date, only one very large population-based study has been undertaken and indicated reductions in hospital admissions > 10%. OBJECTIVE: We sought to confirm the effectiveness of population-based disease management programmes. The objective of this study was to evaluate the relative impact on healthcare utilisation and cost of participants the Costs to Australian Private Insurance - Coaching Health (CAPICHe) trial. DESIGN: Parallel-group randomised controlled trial, intention-to-treat analysis SETTING: Australian population PARTICIPANTS: Forty-four thousand four hundred eighteen individuals (18-90 years of age) with private health insurance and diagnosis of heart failure, chronic obstructive pulmonary disease (COPD), coronary artery disease (CAD), diabetes, or low back pain, with predicted high cost claims for the following 12 months. INTERVENTION: Health coaching for disease management from Bupa Health Dialog, vs Usual Care. MAIN OUTCOME MEASURES: Total cost of claims per member to the private health insurer 1 year post-randomisation for hospital admissions, including same-day, medical and prostheses hospital claims, excluding any maternity costs. Analysis was based on the intent-to-treat population. RESULTS: Estimated total cost 1 year post-randomisation was not significantly different (means: intervention group A$4934; 95% CI A$4823-A$5045 vs control group A$4868; 95% CI A$4680-A$5058; p = 0.524). However, the intervention group had significantly lower same-day admission costs (A$468; 95% CI A$454-A$482 vs A$508; 95% CI A$484-A$533; p = 0.002) and fewer same-day admissions per 1000 person-years (intervention group, 530; 95% CI 508-552 vs control group, 614; 95% CI 571-657; p = 0.002). Subgroup analyses indicated that the intervention group had significantly fewer admissions for patients with COPD and fewer same-day admissions for patients with diabetes. CONCLUSIONS: Chronic disease health coaching was not effective to reduce the total cost after 12 months of follow-up for higher risk individuals with a chronic condition. Statistically significant changes were found with fewer same-day admissions; however, these did not translate into cost savings from a private health insurance perspective.

Suboptimal medication-related quality of care preceding hospitalisation of older patients.

OBJECTIVE: To examine the prevalence of suboptimal medication-related processes of care before the hospitalisation of older patients. DESIGN AND SETTING: We conducted a retrospective cohort study using a clinical indicator set related to medication management that has been validated by an expert panel as consisting of suboptimal aspects of medication use that clinicians should be able to foresee and avoid. Australian Government Department of Veterans' Affairs administrative claims data between 1 July 2007 and 30 June 2012 were analysed according to these clinical indicators to assess medication-related processes of care preceding hospitalisation. PARTICIPANTS: Veterans with one or more hospitalisations in Australia for a condition defined by the clinical indicator set. MAIN OUTCOME MEASURE: Prevalence of suboptimal medication-related processes of care before hospitalisation as a proportion of all hospitalisations defined by diagnoses in the clinical indicator set. RESULTS: During the 5-year study period, there were 164,813 hospitalisations with primary diagnoses for conditions included in the clinical indicator set, encompassing 83,430 patients. The overall proportion of hospitalisations that were preceded by suboptimal medication-related processes of care was 25.2% (41,546 hospitalisations); 34.5% of patients (28,807 patients) had at least one hospitalisation and 10.4% (8640 patients) had two or more hospitalisations preceded by suboptimal medication-related processes of care. At least one in 10 hospitalisations for chronic heart failure, ischaemic stroke, asthma, gastrointestinal ulcer or bleeding, fracture, renal failure or nephropathy, hyperglycaemia or hypoglycaemia were preceded by suboptimal medication-related processes of care. CONCLUSIONS: This study highlights conditions for which there are evidence-practice gaps in medication management in the older population. Routine prospective monitoring of these evidence-based, validated, medication-related clinical indicators provides a means for quality improvement in the management of common chronic conditions.

The impact of population-based disease management services for selected chronic conditions: the Costs to Australian Private Insurance--Coaching Health (CAPICHe) study protocol.

BACKGROUND: Recent evidence from a large scale trial conducted in the United States indicates that enhancing shared decision-making and improving knowledge, self-management, and provider communication skills to at-risk patients can reduce health costs and utilisation of healthcare resources. Although this trial has provided a significant advancement in the evidence base for disease management programs it is still left for such results to be replicated and/or generalised for populations in other countries and other healthcare environments. This trial responds to the limited analyses on the effectiveness of providing chronic disease management services through telephone health coaching in Australia. The size of this trial and it's assessment of cost utility with respect to potentially preventable hospitalisations adds significantly to the body of knowledge to support policy and investment decisions in Australia as well as to the international debate regarding the effect of disease management programs on financial outcomes. METHODS: Intention to treat study applying a prospective randomised design comparing usual care with extensive outreach to encourage use of telephone health coaching for those people identified from a risk scoring algorithm as having a higher likelihood of future health costs. The trial population has been limited to people with one or more of the following selected chronic conditions: namely, low back pain, diabetes, coronary artery disease, heart failure, and chronic obstructive pulmonary disease. This trial will enrol at least 64,835 sourced from the approximately 3 million Bupa Australia private health insured members located across Australia. The primary outcome will be the total (non-maternity) cost per member as reported to the private health insurer (i.e. charged to the insurer) 12 months following entry into the trial for each person. Study recruitment will be completed in early 2012 and the results will be available in late 2013. DISCUSSION: If positive, CAPICHe will represent a potentially cost-effective strategy to improve health outcomes in higher risk individuals with a chronic condition, in a private health insurance setting. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry reference: ACTRN12611000580976.

CareTrack Kids-part 2. Assessing the appropriateness of the healthcare delivered to Australian children: study protocol for a retrospective medical record review.

INTRODUCTION: Australian and international clinical practice guidelines are available for common paediatric conditions. Yet there is evidence that there are substantial variations between the guidelines, recommendations (appropriate care) and the care delivered. This paper describes a study protocol to determine the appropriateness of the healthcare delivered to Australian children for 16 common paediatric conditions in acute and primary healthcare settings. METHODS AND ANALYSIS: A random sample of 6000-8000 medical records representing a cross-section of the Australian paediatric population will be reviewed for appropriateness of care against a set of indicators within three Australian states (New South Wales, Queensland and South Australia) using multistage, stratified sampling. Medical records of children aged <16 years who presented with at least one of the study conditions during 2012 and 2013 will be reviewed. ETHICS AND DISSEMINATION: Human Research Ethics Committee approvals have been received from the Sydney Children's Hospital Network, Children's Health Queensland Hospital and Health Service and Women's and Children's Hospital Network (South Australia). An application is under review for the Royal Australian College of General Practitioners. The authors will submit the results of the study to relevant journals and offer oral presentations to researchers, clinicians and policymakers at national and international conferences.

CareTrack Kids-part 1. Assessing the appropriateness of healthcare delivered to Australian children: study protocol for clinical indicator development.

INTRODUCTION: Despite the widespread availability of clinical guidelines, considerable gaps remain between the care that is recommended (appropriate care) and the care provided. This protocol describes a research methodology to develop clinical indicators for appropriate care for common paediatric conditions. METHODS AND ANALYSIS: We will identify conditions amenable to population-level appropriateness of care research and develop clinical indicators for each condition. Candidate conditions have been identified from published research; burden of disease, prevalence and frequency of presentation data; and quality of care priority lists. Clinical indicators will be developed through searches of national and international guidelines, and formatted with explicit criteria for inclusion, exclusion, time frame and setting. Experts will review the indicators using a wiki-based approach and modified Delphi process. A formative evaluation of the wiki process will be undertaken. ETHICS AND DISSEMINATION: Human Research Ethics Committee approvals have been received from Sydney Children's Hospital Network, Children's Health Queensland Hospital and Health Service, and the Women's and Children's Health Network (South Australia). Applications are under review with Macquarie University and the Royal Australian College of General Practitioners. We will submit the results of the study to relevant journals and offer national and international presentations.

FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data.

BACKGROUND: Front-of-pack nutrition labeling (FoPL) schemes can help consumers understand the nutritional content of foods and may aid healthier food choices. However, most packaged foods in Australia carry no easily interpretable FoPL, and no standard FoPL system has yet been mandated. About two thirds of Australians now own a smartphone. OBJECTIVE: We sought to develop a mobile phone app that would provide consumers with easy-to-understand nutrition information and support the selection of healthier choices when shopping for food. METHODS: An existing branded food database including 17,000 Australian packaged foods underpinned the project. An iterative process of development, review, and testing was undertaken to define a user interface that could deliver nutritional information. A parallel process identified the best approach to rank foods based on nutritional content, so that healthier alternative products could be recommended. RESULTS: Barcode scanning technology was identified as the optimal mechanism for interaction of the mobile phone with the food database. Traffic light labels were chosen as the preferred format for presenting nutritional information, and the Food Standards Australia New Zealand nutrient profiling method as the best strategy for identifying healthier products. The resulting FoodSwitch mobile phone app was launched in Australia in January 2012 and was downloaded by about 400,000 users in the first 18 months. FoodSwitch has maintained a 4-plus star rating, and more than 2000 users have provided feedback about the functionality. Nutritional information for more than 30,000 additional products has been obtained from users through a crowdsourcing function integrated within the app. CONCLUSIONS: FoodSwitch has empowered Australian consumers seeking to make better food choices. In parallel, the huge volume of crowdsourced data has provided a novel means for low-cost, real-time tracking of the nutritional composition of Australian foods. There appears to be significant opportunity for this approach in many other countries.

A multicenter, randomized trial of a nurse-led, home-based intervention for optimal secondary cardiac prevention suggests some benefits for men but not for women: the Young at Heart study.

BACKGROUND: We examined the impact of a prolonged secondary prevention program on recurrent hospitalization in cardiac patients with private health insurance. METHODS AND RESULTS: The Young at Heart multicenter, randomized, controlled trial compared usual postdischarge care (UC) with nurse-led, home-based intervention (HBI). The primary end point was rate of all-cause hospital stay (31.5±7.5 months follow-up). In total, 602 patients (aged 70±10 years, 72% men) were randomized to UC (n=296) or HBI (n=306, 96% received ≥1 home visit). Overall, 42 patients (7.0%) died, and 492 patients (82%) accumulated 2397 all-cause hospitalizations associated with 10,258 hospital days costing >$17 million. There were minimal group differences (HBI versus UC) in the primary end point of all-cause hospital stay (5405 versus 4853 days; median [interquartile range], 0.08 [0.03-0.17] versus 0.07 [0.03-0.13]/patient per month). There were similar trends with respect to all hospitalizations (1197 versus 1200; P=0.802) and associated costs ($8.66 versus $8.58 million; P=0.375). At 2 years, however, more HBI versus UC (39% versus 27%; odds ratio, 1.67; 95% confidence interval, 1.15-2.41; P=0.007) patients were assessed as stable and optimally managed. For women, HBI outcomes were predominantly worse than UC outcomes. In men, HBI was associated with reduced risk of cardiovascular hospitalization (adjusted hazard ratio, 0.68; 95% confidence interval, 0.46-0.99; P=0.044) with less cardiovascular hospitalizations (192 versus 269; P=0.054) and costs ($2.49 versus $3.53 million; P=0.046). CONCLUSIONS: HBI did not reduce recurrent all-cause hospitalization compared with UC in privately insured cardiac patients overall. However, it did convey some benefits in cardiac outcomes for men. CLINICAL TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry Unique Identifier: 12608000014358. URL: http://www.anzctr.org.au/trial_view.aspx?id=82509.

Exploring the potential to remain "Young @ Heart": initial findings of a multi-centre, randomised study of nurse-led, home-based intervention in a hybrid health care system.

BACKGROUND: Disease management programs have been shown to improve health outcomes in high risk individuals in many but not all health care systems. METHODS: Young @ Heart is a multi-centre, randomised controlled study of a nurse-led, home-based intervention (HBI) program vs. usual care (UC) in privately insured patients in Australia aged ≥ 45 years following an acute cardiac admission. Intensity of HBI is tailored to an individual's clinical stability, management and risk profile. The primary endpoint is the rate of all-cause stay during a mean of 2.5 years follow-up. RESULTS: A target of 602 adults (72% men) were randomised to HBI (n=306) or UC (n=296); their initial profiles being well matched. At baseline, 71% were overweight (body mass index 29.7 ± 3.9 kg/m(2)) and 66% had an elevated blood pressure (153 ± 18/89 ± 7 mm Hg). Over half had a history of smoking and 39% had a sub-optimal total cholesterol level >4 mmol/L. Overall, 62% (376 cases) were treated for coronary artery disease (27% with multi-vessel disease and 39% underwent cardiac revascularisation). A further 20% (120 cases) were treated for a cardiac arrhythmia (predominantly atrial fibrillation) and 19% type 2 diabetes mellitus. At 7-14 days post-discharge, 293 (96%) HBI patients received a home visit triggering urgent clinical review and/or enhanced clinical management in many patients. CONCLUSIONS: The Young @ Heart intervention is a well accepted and potentially effective intervention to reduce recurrent hospital stay in privately insured cardiac patients in Australia.