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

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          Abstract

          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

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          Most cited references9

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          A randomized trial of a telephone care-management strategy.

          Studies have shown that telephone interventions designed to promote patients' self-management skills and improve patient-physician communication can increase patients' satisfaction and their use of preventive services. The effect of such a strategy on health care costs remains controversial. We conducted a stratified, randomized study of 174,120 subjects to assess the effect of a telephone-based care-management strategy on medical costs and resource utilization. Health coaches contacted subjects with selected medical conditions and predicted high health care costs to instruct them about shared decision making, self-care, and behavioral change. The subjects were randomly assigned to either a usual-support group or an enhanced-support group. Although the same telephone intervention was delivered to the two groups, a greater number of subjects in the enhanced-support group were made eligible for coaching through the lowering of cutoff points for predicted future costs and expansion of the number of qualifying health conditions. Primary outcome measures at 1 year were total medical costs and number of hospital admissions. At baseline, medical costs and resource utilization were similar in the two groups. After 12 months, 10.4% of the enhanced-support group and 3.7% of the usual-support group received the telephone intervention. The average monthly medical and pharmacy costs per person in the enhanced-support group were 3.6% ($7.96) lower than those in the usual-support group ($213.82 vs. $221.78, P=0.05); a 10.1% reduction in annual hospital admissions (P<0.001) accounted for the majority of savings. The cost of this intervention program was less than $2.00 per person per month. A targeted telephone care-management program was successful in reducing medical costs and hospitalizations in this population-based study. (Funded by Health Dialog Services; ClinicalTrials.gov number, NCT00793260.)
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            Disease management in the American market.

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              Horizontal inequities in Australia's mixed public/private health care system.

              Recent comparative evidence from OECD countries suggests that Australia's mixed public-private health system does a good job in ensuring high and fairly equal access to doctor, hospital and dental care services. This paper provides some further analysis of the same data from the Australian National Health Survey for 2001 to examine whether the general finding of horizontal equity remains when the full potential of the data is realized. We extend the common core cross-country comparative analysis by expanding the set of indicators used in the procedure of standardizing for health care need differences, by providing a separate analysis for the use for general practitioner and specialist care and by differentiating between admissions as public and private patients. Overall, our analysis confirms that in 2001 Medicare largely did seem to be attaining an equitable distribution of health care access: Australians in need of care did get to see a doctor and to be admitted to a hospital. However, they were not equally likely to see the same doctor and to end up in the same hospital bed. As in other OECD countries, higher income Australians are more likely to consult a specialist, all else equal, while lower income patients are more likely to consult a general practitioner. The unequal distribution of private health insurance coverage by income contributes to the phenomenon that the better-off and the less well-off do not receive the same mix of services. There is a risk that - as in some other OECD countries - the principle of equal access for equal need may be further compromised by the future expansion of the private sector in secondary care services. To the extent that such inequalities in use may translate in inequalities in health outcomes, there may be some reason for concern.
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                Author and article information

                Journal
                BMC Public Health
                BMC Public Health
                BioMed Central
                1471-2458
                2012
                10 February 2012
                : 12
                : 114
                Affiliations
                [1 ]Centre for Applied Health Economics, School of Medicine, Logan Campus, Griffith Health Institute, Griffith University, University Drive, Meadowbrook, Queensland 4131, Australia
                [2 ]School of Public Health and Community Medicine, University of New South Wales, Anzac Pde, Kensington, NSW 2031, Australia
                [3 ]Bupa Health Dialog, 801 Glenferrie Road, Hawthorn, VIC 3122, Australia
                [4 ]Health Dialog, 60 State Street, Suite 1100, Boston, MA 02109, USA
                [5 ]School of Medicine Sydney, University of Notre Dame, 160 Oxford St, Darlinghurst, NSW 2010, Australia
                [6 ]Bupa Health Foundation, 201 Kent St, Sydney, NSW 2000, Australia
                Article
                1471-2458-12-114
                10.1186/1471-2458-12-114
                3306732
                22325668
                fda5a3ab-04ed-426d-b452-fbf851a38167
                Copyright ©2012 Byrnes et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 31 January 2012
                : 10 February 2012
                Categories
                Study Protocol

                Public health
                Public health

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