Emerging role of the Australian private health insurance sector in providing chronic disease management programs: current activities, challenges and constraints
Joanna Khoo A B C , Helen Hasan A and Kathy Eagar AA Australian Health Services Research Institute, Building 234 (iC Enterprise 1), Innovation Campus, University of Wollongong, Wollongong, NSW 2522, Australia. Email: hasan@uow.edu.au; keagar@uow.edu.au
B Capital Markets Cooperative Research Centre (CMCRC) Health Market Quality Research Program, Capital Markets CRC Ltd, Level 3, 55 Harrington Street, Sydney, NSW 2000, Australia.
C Corresponding author. Email: jkhoo@cmcrc.com
Australian Health Review 43(5) 572-577 https://doi.org/10.1071/AH18164
Submitted: 9 August 2018 Accepted: 7 December 2018 Published: 12 March 2019
Journal Compilation © AHHA 2019 Open Access CC BY-NC-ND
Abstract
Objective This study explored the current activities of a sample of Australian private health insurance (PHI) funds to support the care of people living with chronic conditions, following changes to PHI legislation in 2007 permitting funds to cover a broader range of chronic disease management (CDM) services.
Methods A qualitative research design was used to gather perspectives from PHI sector representatives via semistructured interviews with eight participants. The interview data were analysed systematically using the framework analysis method.
Results Three main types of activities were most commonly identified: (1) healthcare navigation; (2) structured disease management and health coaching programs; and (3) care coordination services. These activities were primarily conducted via telephone by a combination of in-house and third-party health professionals. PHI funds seem to be taking a pragmatic approach to the type of CDM activities currently offered, guided by available data and identified member need. Activities are focused on people with diagnosed chronic conditions exiting hospital, rather than the broader population at-risk of developing a chronic condition.
Conclusions Despite legislation permitting PHI funds to pay benefits for CDM services being in place for more than 10 years, insurers are still in an early stage of implementation and evaluation of CDM activities. Primarily due to the regulated scope of PHI coverage in Australia, participants reported several challenges in providing CDM services, including identifying target groups, evaluating service outcomes and collaborating with other healthcare providers. The effectiveness of the approach of PHI funds to CDM in terms of the groups targeted and outcomes of services provided still needs to be established because evidence suggests that population-level interventions that target a larger number of people with lower levels of risks are likely to have greater benefit than targeting a small number of high-risk cases.
What is known about the topic? Since 2007, PHI funds in Australia have been able to pay benefits for a range of out-of-hospital services, focused on CDM. Although a small number of program evaluations has been published, there is little information on the scope of activities and the factors influencing the design and implementation of CDM programs.
What does this paper add? This paper presents the findings of a qualitative study reporting on the CDM activities offered by a sample of PHI funds, their approach to delivery and the challenges and constraints in designing and implementing CDM activities, given the PHI sector’s role as a supplementary health insurer in the Australian health system.
What are the implications for practitioners? Current CDM activities offered by insurers focus on health navigation advice, structured, time-limited CDM programs and care coordination services for people following a hospital admission. There is currently little integration of these programs with the care provided by other health professionals for a person accessing these services. Although the role of insurers is currently small, the movement of insurers into service provision raises considerations for managing potential conflicts in having a dual role as an insurer and provider, including the effectiveness and value of services offered, and how these programs complement other types of health care being received.
Additional keywords: health funding and financing, health systems, information management, population health.
References
[1] Weingarten SR, Henning JM, Badamgarav E, Knight K, Hasselblad V, Gano AJ, Ofman JJ. Interventions used in disease management programmes for patients with chronic illness: which ones work? Meta-analysis of published reports. BMJ 2002; 325 925| Interventions used in disease management programmes for patients with chronic illness: which ones work? Meta-analysis of published reports.Crossref | GoogleScholarGoogle Scholar | 12399340PubMed |
[2] Mays GP, Melanie A, Claxton G. Convergence and dissonance: evolution in private-sector approaches to disease management and care coordination. Health Aff (Millwood) 2007; 26 1683–91.
| Convergence and dissonance: evolution in private-sector approaches to disease management and care coordination.Crossref | GoogleScholarGoogle Scholar | 17978387PubMed |
[3] Biggs A. Chronic disease management: the role of private health insurance. Canberra: Department of Parliamentary Services; 2013. Available at: https://www.aph.gov.au/About_Parliament/Parliamentary_Departments/Parliamentary_Library/pubs/rp/rp1314/ChronDisease [verified 7 February 2019].
[4] McCall N, Cromwell J. Results of the Medicare health support disease-management pilot program. N Engl J Med 2011; 365 1704–12.
| Results of the Medicare health support disease-management pilot program.Crossref | GoogleScholarGoogle Scholar | 22047561PubMed |
[5] Hamar B, Wells A, Gandy W, Haaf A, Coberley C, Pope JE, Rula EY. The impact of a proactive chronic care management program on hospital admission rates in a German health insurance society. Popul Health Manag 2010; 13 339–45.
| The impact of a proactive chronic care management program on hospital admission rates in a German health insurance society.Crossref | GoogleScholarGoogle Scholar | 21091374PubMed |
[6] Windle A, Fisher M, Freeman T, Baum F, Javanparast S, Kay A, Kidd M. Increased private health fund involvement in Australia’s primary health care: implications for health equity. Aust J Soc Issues 2018; 53 338–54.
| Increased private health fund involvement in Australia’s primary health care: implications for health equity.Crossref | GoogleScholarGoogle Scholar |
[7] Byrnes J, Carrington M, Chan Y-K, Pollicino C, Dubrowin N, Stewart S, Scuffham PA. Cost-effectiveness of a home based intervention for secondary prevention of readmission with chronic heart disease. PLoS One 2015; 10 e0144545
| Cost-effectiveness of a home based intervention for secondary prevention of readmission with chronic heart disease.Crossref | GoogleScholarGoogle Scholar | 26657844PubMed |
[8] Carrington MJ, Chan YK, Calderone A, Scuffham PA, Esterman A, Goldstein S, Stewart S. 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. Circ Cardiovasc Qual Outcomes 2013; 6 379–89.
| 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.Crossref | GoogleScholarGoogle Scholar | 23819955PubMed |
[9] Hamar GB, Rula EY, Coberley C, Pope JE, Larkin S. Long-term impact of a chronic disease management program on hospital utilization and cost in an Australian population with heart disease or diabetes. BMC Health Serv Res 2015; 15 174
| Long-term impact of a chronic disease management program on hospital utilization and cost in an Australian population with heart disease or diabetes.Crossref | GoogleScholarGoogle Scholar | 25895499PubMed |
[10] Morello RT, Barker AL, Watts JJ, Bohensky MA, Forbes AB, Stoelwinder J. A telephone support program to reduce costs and hospital admissions for patients at risk of readmissions: lessons from an evaluation of a complex health intervention. Popul Health Manag 2016; 19 187–95.
| A telephone support program to reduce costs and hospital admissions for patients at risk of readmissions: lessons from an evaluation of a complex health intervention.Crossref | GoogleScholarGoogle Scholar | 26237303PubMed |
[11] Wagner EH, Austin BT, Von Korff M. Organizing care for patients with chronic illness. Milbank Q 1996; 74 511–44.
| Organizing care for patients with chronic illness.Crossref | GoogleScholarGoogle Scholar | 8941260PubMed |
[12] Wagner EH, Austin BT, Davis C, Hindmarsh M, Schaefer J, Bonomi A. Improving chronic illness care: translating evidence into action. Health Aff (Millwood) 2001; 20 64–78.
| Improving chronic illness care: translating evidence into action.Crossref | GoogleScholarGoogle Scholar | 11816692PubMed |
[13] Kohli R, Tan SS-L. Electronic health records: how can IS researchers contribute to transforming healthcare? Manage Inf Syst Q 2016; 40 553–73.
| Electronic health records: how can IS researchers contribute to transforming healthcare?Crossref | GoogleScholarGoogle Scholar |
[14] Jeon Y-H, Black A, Govett J, Yen L, McRae I. Private health insurance and quality of life: perspectives of older Australians with multiple chronic conditions. Aust J Primary Health 2012; 18 212–9.
| Private health insurance and quality of life: perspectives of older Australians with multiple chronic conditions.Crossref | GoogleScholarGoogle Scholar |
[15] Shamsullah A. Australia’s private health insurance industry: structure, competition, regulation and role in a less than ‘ideal world’. Aust Health Rev 2011; 35 23–31.
| Australia’s private health insurance industry: structure, competition, regulation and role in a less than ‘ideal world’.Crossref | GoogleScholarGoogle Scholar | 21367326PubMed |
[16] DiCicco-Bloom B, Crabtree BF. The qualitative research interview. Med Educ 2006; 40 314–21.
| The qualitative research interview.Crossref | GoogleScholarGoogle Scholar | 16573666PubMed |
[17] Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field Methods 2006; 18 59–82.
| How many interviews are enough? An experiment with data saturation and variability.Crossref | GoogleScholarGoogle Scholar |
[18] Ritchie J, Spencer L. Qualitative data analysis for applied policy research. In: Bryman A, Burgess R, editors. Analysing qualitative data. London: Routledge; 1993. pp. 173–94.
[19] Srivastava A, Thomson SB. Framework analysis: a qualitative methodology for applied policy research. J Admin Gov 2009; 4 72–9.
[20] Birt L, Scott S, Cavers D, Campbell C, Walter F. Member checking: a tool to enhance trustworthiness or merely a nod to validation? Qual Health Res 2016; 26 1802–11.
| Member checking: a tool to enhance trustworthiness or merely a nod to validation?Crossref | GoogleScholarGoogle Scholar |
[21] Rose G. Strategy of prevention: lessons from cardiovascular disease. BMJ 1981; 282 1847–51.
| Strategy of prevention: lessons from cardiovascular disease.Crossref | GoogleScholarGoogle Scholar | 6786649PubMed |
[22] Parkinson AM, Parker R. Addressing chronic and complex conditions: what evidence is there regarding the role primary healthcare nurses can play? Aust Health Rev 2013; 37 588–93.
| Addressing chronic and complex conditions: what evidence is there regarding the role primary healthcare nurses can play?Crossref | GoogleScholarGoogle Scholar | 24028790PubMed |
[23] McMillan SS, Wheeler AJ, Sav A, King MA, Whitty JA, Kendall E, Kelly F. Community pharmacy in Australia: a health hub destination of the future. Res Social Adm Pharm 2013; 9 863–75.
| Community pharmacy in Australia: a health hub destination of the future.Crossref | GoogleScholarGoogle Scholar | 23218552PubMed |
[24] Butler JRG. Policy change and private health insurance: did the cheapest policy do the trick? Aust Health Rev 2002; 25 33–41.
| Policy change and private health insurance: did the cheapest policy do the trick?Crossref | GoogleScholarGoogle Scholar |