Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Sociodemographic and health risk profile associated with participation in a private health insurance weight loss maintenance and chronic disease management program

Bronwyn McGill A B D , Blythe J. O’Hara A , Anne C. Grunseit A B , Adrian Bauman A B , Luke Lawler C and Philayrath Phongsavan A
+ Author Affiliations
- Author Affiliations

A The University of Sydney, Sydney School of Public Health, Prevention Research Collaboration, Charles Perkins Centre, NSW 2006, Australia. Email: blythe.ohara@sydney.edu.au; anne.grunseit@sydney.edu.au; adrian.bauman@sydney.edu.au; philayrath.phongsavan@sydney.edu.au

B The Australian Prevention Partnership Centre, 235 Jones Street, Ultimo, NSW 2007, Australia.

C Prima Health Solutions, PO Box 7468, Warringah Mall, NSW 2100, Australia. Email: luke@primahealth.com.au

D Corresponding author. Email: bronwyn.mcgill@sydney.edu.au

Australian Health Review 44(4) 642-649 https://doi.org/10.1071/AH19046
Submitted: 21 February 2019  Accepted: 9 October 2019   Published: 29 January 2020

Abstract

Objective Identifying who participates in chronic disease management programs yields insights into program reach and appeal. This study investigated sustained participation in a remotely delivered weight loss maintenance program offered to Australian private health insurance members.

Methods All participants completing an initial 18-week weight loss program were eligible for a maintenance phase. A pre-post test design was used and sociodemographic and anthropometric characteristics of those who did and did not opt in to the maintenance phase were compared using binary logistic regression.

Results Maintenance phase participants lost more weight during the initial weight loss program (−2.2 kg (P < 0.001); body mass index −0.8 kg/m2 (P < 0.001)) than those who did not opt in. Participants who were obese (v. overweight) upon completion of the initial weight loss program were less likely to opt in to the maintenance phase (adjusted odds ratio (aOR) 1.76, 95% confidence interval (CI) 1.35–2.30, P < 0.001) and participants aged ≥55 years were more likely to opt in (aOR 0.59, 95% CI 0.44–0.80, P < 0.001) than those aged <55 years.

Conclusions Understanding why health insurance members opt in to maintenance programs can assist the development of strategies to improve program reach. Younger participants and those who remain obese following a weight loss program may be targeted by private health insurers and service providers to increase weight loss maintenance program participation.

What is known about the topic? Australian private health insurers offer chronic disease management programs to support members to manage obesity-related chronic disease. An 18-week weight loss and lifestyle modification program was extended to assist participants maintain weight loss and health benefits resulting from the initial program. This weight loss maintenance phase is novel in the private health insurance setting and is thought to be important to sustained health improvement. Although program reach is important to benefit those most in need, little is known about who sustains the use (or does not) of such programs.

What does this paper add? This study provides an insight to the characteristics of participants more likely to opt in to a weight loss maintenance program. It highlights the sociodemographic and anthropometric characteristics associated with maintenance program uptake, identifying the subgroups less likely to opt in. These study findings are novel because they report on participation in a chronic disease management program with a focus on maintenance of weight loss.

What are the implications for practitioners? These results will benefit private health insurers and service providers implementing maintenance programs for weight loss, providing an awareness of which participant groups to target to increase maintenance and reach. In addition, they offer avenues for future exploration, such as the generalisability and sustainability of chronic disease management programs. Although those not opting in are a difficult-to-access group, a qualitative study of reasons for not opting in to such a program would provide further information for program design, recruitment and retention.


References

[1]  Australian Institute of Health and Welfare (AIHW). Impact of overweight and obesity as a risk factor for chronic conditions: Australian Burden of Disease Study. Canberra: AIHW; 2017.

[2]  Rueda-Clausen CF, Ogunleye AA, Sharma AM. Health benefits of long-term weight-loss maintenance. Annu Rev Nutr 2015; 35 475–516.
Health benefits of long-term weight-loss maintenance.Crossref | GoogleScholarGoogle Scholar | 25974699PubMed |

[3]  Biggs A. Chronic disease management: the role of private health insurance. Canberra: Parliament of Australia Department of Parliamentary Services; 2013.

[4]  Australian Bureau of Statistics (ABS). National health survey: health service usage and health related actions, Australia, 2014–2015. Canberra: ABS; 2017.

[5]  MacLean PS, Wing RR, Davidson T, Epstein L, Goodpaster B, Hall KD, Levin BE, Perri MG, Rolls BJ, Rosenbaum M. NIH working group report: Innovative research to improve maintenance of weight loss. Obesity (Silver Spring) 2015; 23 7–15.
NIH working group report: Innovative research to improve maintenance of weight loss.Crossref | GoogleScholarGoogle Scholar |

[6]  Webb VL, Wadden TA. Intensive lifestyle intervention for obesity: principles, practices, and results. Gastroenterology 2017; 152 1752–64.
Intensive lifestyle intervention for obesity: principles, practices, and results.Crossref | GoogleScholarGoogle Scholar | 28192109PubMed |

[7]  Wing RR, Phelan S. Long-term weight loss maintenance. Am J Clin Nutr 2005; 82 222S–5S.
Long-term weight loss maintenance.Crossref | GoogleScholarGoogle Scholar | 16002825PubMed |

[8]  Lean M, Hankey C. Keeping it off: the challenge of weight-loss maintenance. Lancet Diabetes Endocrinol 2018; 6 681–3.
Keeping it off: the challenge of weight-loss maintenance.Crossref | GoogleScholarGoogle Scholar | 29371077PubMed |

[9]  Ross Middleton KM, Patidar S, Perri M. The impact of extended care on the long-term maintenance of weight loss: a systematic review and meta-analysis. Obes Rev 2012; 13 509–17.
The impact of extended care on the long-term maintenance of weight loss: a systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[10]  McGill B, O’Hara BJ, Grunseit AC, Bauman A, Lawler L, Phongsavan P. Healthy Weight for Life programme: evaluating the practice and effectiveness of a weight loss maintenance programme in the private health insurance setting. SAGE Open Med 2019; 7 1–10.

[11]  Khoo J, Hasan H, Eagar K. Emerging role of the Australian private health insurance sector in providing chronic disease management programs: current activities, challenges and constraints. Aust Health Rev 2019; 43 572–77.
Emerging role of the Australian private health insurance sector in providing chronic disease management programs: current activities, challenges and constraints.Crossref | GoogleScholarGoogle Scholar |

[12]  Akers JD, Estabrooks PA, Davy BM. Translational research: bridging the gap between long-term weight loss maintenance research and practice. J Am Diet Assoc 2010; 110 1511–22.e3.
Translational research: bridging the gap between long-term weight loss maintenance research and practice.Crossref | GoogleScholarGoogle Scholar | 20869490PubMed |

[13]  Bauman AE, Nutbeam D. Evaluation in a nutshell: a practical guide to the evaluation of health promotion programs. Sydney: McGraw-Hill; 2014.

[14]  Voils CI, Grubber J, McVay M, Olsen M, Bolton J, Gierisch J, Taylor SS, Maciejewski ML, Yancy WS. Recruitment and retention for a weight loss maintenance trial involving weight loss prior to randomization. Obes Sci Pract 2016; 2 355–65.
Recruitment and retention for a weight loss maintenance trial involving weight loss prior to randomization.Crossref | GoogleScholarGoogle Scholar | 28090340PubMed |

[15]  Sawamoto R, Nozaki T, Nishihara T, Furukawa T, Hata T, Komaki G, Sudo N. Predictors of successful long-term weight loss maintenance: a two-year follow-up. Biopsychosoc Med 2017; 11 14
Predictors of successful long-term weight loss maintenance: a two-year follow-up.Crossref | GoogleScholarGoogle Scholar | 28592990PubMed |

[16]  Elfhag K, Rössner S. Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obes Rev 2005; 6 67–85.
Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain.Crossref | GoogleScholarGoogle Scholar | 15655039PubMed |

[17]  Robbins SR, Melo LRS, Urban H, Deveza LA, Asher R, Johnson VL, Hunter DJ. Stepped care approach for medial tibiofemoral osteoarthritis (STrEAMline): protocol for a randomised controlled trial. BMJ Open 2017; 7 e018495
Stepped care approach for medial tibiofemoral osteoarthritis (STrEAMline): protocol for a randomised controlled trial.Crossref | GoogleScholarGoogle Scholar | 29282267PubMed |

[18]  McGill B, O’Hara BJ, Grunseit AC, Bauman A, Osborne D, Lawler L, Phongsavan P. Acceptability of financial incentives for maintenance of weight loss in mid-older adults: a mixed methods study. BMC Public Health 2018; 18 244
Acceptability of financial incentives for maintenance of weight loss in mid-older adults: a mixed methods study.Crossref | GoogleScholarGoogle Scholar | 29439689PubMed |

[19]  Australian Bureau of Statistics (ABS). Technical paper socio-economic indexes for areas (SEIFA) 2016. Canberra: ABS; 2018.

[20]  Hugo Centre for Migration and Population Research. Accessibility/remoteness index of Australia. 2011. Available at: http://www.adelaide.edu.au/hugo-centre/spatial_data/aria/ [verified 7 February 2018].

[21]  World Health Organization Global database on body mass index: an interactive surveillance tool for monitoring nutrition transition. Public Health Nutr 2006; 9 658–60.

[22]  World Health Organization (WHO). Obesity: preventing and managing the global epidemic: a report of a WHO consultation. Contract No. 894. Geneva: WHO; 1999.

[23]  O’Hara BJ, Phongsavan P, Venugopal K, Bauman AE. Characteristics of participants in Australia’s Get Healthy telephone-based lifestyle information and coaching service: reaching disadvantaged communities and those most at need. Health Educ Res 2011; 26 1097–106.
Characteristics of participants in Australia’s Get Healthy telephone-based lifestyle information and coaching service: reaching disadvantaged communities and those most at need.Crossref | GoogleScholarGoogle Scholar | 21987479PubMed |

[24]  Freak-Poli RLA, Wolfe R, Walls H, Backholer K, Peeters A. Participant characteristics associated with greater reductions in waist circumference during a four-month, pedometer-based, workplace health program. BMC Public Health 2011; 11 824
Participant characteristics associated with greater reductions in waist circumference during a four-month, pedometer-based, workplace health program.Crossref | GoogleScholarGoogle Scholar |

[25]  Burgess E, Hassmén P, Pumpa KL. Determinants of adherence to lifestyle intervention in adults with obesity: a systematic review. Clin Obes 2017; 7 123–35.
Determinants of adherence to lifestyle intervention in adults with obesity: a systematic review.Crossref | GoogleScholarGoogle Scholar | 28296261PubMed |

[26]  Webber KH, Tate DF, Ward DS, Bowling JM. Motivation and its relationship to adherence to self-monitoring and weight loss in a 16-week Internet behavioral weight loss intervention. J Nutr Educ Behav 2010; 42 161–7.
Motivation and its relationship to adherence to self-monitoring and weight loss in a 16-week Internet behavioral weight loss intervention.Crossref | GoogleScholarGoogle Scholar | 20138583PubMed |

[27]  Rodin J, Elias M, Silberstein LR, Wagner A. Combined behavioral and pharmacologic treatment for obesity: predictors of successful weight maintenance. J Consult Clin Psychol 1988; 56 399–404.
Combined behavioral and pharmacologic treatment for obesity: predictors of successful weight maintenance.Crossref | GoogleScholarGoogle Scholar | 3397432PubMed |

[28]  Kraschnewski JL, Boan J, Esposito J, Sherwood NE, Lehman EB, Kephart DK, Sciamanna CN. Long-term weight loss maintenance in the United States. Int J Obes 2010; 34 1644–54.

[29]  Samuel-Hodge CD, Johnston LF, Gizlice Z, Garcia BA, Lindsley SC, Gold AD, Braxton DF, Keyserling TC. A pilot study comparing two weight loss maintenance interventions among low-income, mid-life women. BMC Public Health 2013; 13 653
A pilot study comparing two weight loss maintenance interventions among low-income, mid-life women.Crossref | GoogleScholarGoogle Scholar | 23855318PubMed |

[30]  Anderson JW, Grant L, Gotthelf L, Stifler LT. Weight loss and long-term follow-up of severely obese individuals treated with an intense behavioral program [erratum appears in Int J Obes (Lond) 2007; 31: 565]. Int J Obes 2007; 31 488–93.
Weight loss and long-term follow-up of severely obese individuals treated with an intense behavioral program [erratum appears in Int J Obes (Lond) 2007; 31: 565].Crossref | GoogleScholarGoogle Scholar |

[31]  Eakin EG, Winkler EA, Dunstan DW, Healy GN, Owen N, Marshall AM, Graves N, Reeves MM. Living well with diabetes: 24-month outcomes from a randomized trial of telephone-delivered weight loss and physical activity intervention to improve glycemic control. Diabetes Care 2014; 37 2177–85.
Living well with diabetes: 24-month outcomes from a randomized trial of telephone-delivered weight loss and physical activity intervention to improve glycemic control.Crossref | GoogleScholarGoogle Scholar | 24658390PubMed |

[32]  Young MD, Callister R, Collins CE, Plotnikoff RC, Aguiar EJ, Morgan PJ. Efficacy of a gender-tailored intervention to prevent weight regain in men over 3 years: a weight loss maintenance RCT. Obesity (Silver Spring) 2017; 25 56–65.
Efficacy of a gender-tailored intervention to prevent weight regain in men over 3 years: a weight loss maintenance RCT.Crossref | GoogleScholarGoogle Scholar |

[33]  Williamson DA, Bray GA, Ryan DH. Is 5% weight loss a satisfactory criterion to define clinically significant weight loss? Obesity (Silver Spring) 2015; 23 2319–20.
Is 5% weight loss a satisfactory criterion to define clinically significant weight loss?Crossref | GoogleScholarGoogle Scholar |

[34]  Messier SP, Loeser RF, Miller GD, Morgan TM, Rejeski WJ, Sevick MA, Ettinger WH, Pahor M, Williamson JD. Exercise and dietary weight loss in overweight and obese older adults with knee osteoarthritis: the Arthritis, Diet, and Activity Promotion Trial. Arthritis Rheum 2004; 50 1501–10.
Exercise and dietary weight loss in overweight and obese older adults with knee osteoarthritis: the Arthritis, Diet, and Activity Promotion Trial.Crossref | GoogleScholarGoogle Scholar | 15146420PubMed |

[35]  Wing RR, Lang W, Wadden TA, Safford M, Knowler WC, Bertoni AG, Hill JO, Brancati FL, Peters A, Wagenknecht L. Benefits of modest weight loss in improving cardiovascular risk factors in overweight and obese individuals with type 2 diabetes. Diabetes Care 2011; 34 1481–6.
Benefits of modest weight loss in improving cardiovascular risk factors in overweight and obese individuals with type 2 diabetes.Crossref | GoogleScholarGoogle Scholar | 21593294PubMed |

[36]  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 |

[37]  Hamar GB, Rula EY, Wells A, Coberley C, Pope JE, Larkin S. Impact of a chronic disease management program on hospital admissions and readmissions in an Australian population with heart disease or diabetes. Popul Health Manag 2013; 16 125–31.
Impact of a chronic disease management program on hospital admissions and readmissions in an Australian population with heart disease or diabetes.Crossref | GoogleScholarGoogle Scholar | 23113632PubMed |

[38]  Medibank Health Solutions. Obesity in Australia: financial impacts and cost benefits of intervention. 2010. Available at: https://www.medibank.com.au/Client/Documents/Pdfs/Obesity_Report_2010.pdf [verified 2 October 2019].

[39]  Kroes M, Osei-Assibey G, Baker-Searle R, Huang J. Impact of weight change on quality of life in adults with overweight/obesity in the United States: a systematic review. Curr Med Res Opin 2016; 32 485–508.
Impact of weight change on quality of life in adults with overweight/obesity in the United States: a systematic review.Crossref | GoogleScholarGoogle Scholar | 26652030PubMed |

[40]  Ng SP, Korda R, Clements M, Latz I, Bauman A, Bambrick H, Liu B, Rogers K, Herbert N, Banks E. Validity of self-reported height and weight and derived body mass index in middle-aged and elderly individuals in Australia. Aust N Z J Public Health 2011; 35 557–63.
Validity of self-reported height and weight and derived body mass index in middle-aged and elderly individuals in Australia.Crossref | GoogleScholarGoogle Scholar | 22151163PubMed |

[41]  Pasalich M, Lee AH, Burke L, Jancey J, Howat P. Accuracy of self-reported anthropometric measures in older Australian adults. Australas J Ageing 2014; 33 E27–32.
Accuracy of self-reported anthropometric measures in older Australian adults.Crossref | GoogleScholarGoogle Scholar | 24520988PubMed |

[42]  Fitzpatrick SL, Appel LJ, Bray B, Brooks N, Stevens VJ. Predictors of long-term adherence to multiple health behavior recommendations for weight management. Health Educ Behav 2018; 45 997–1007.
Predictors of long-term adherence to multiple health behavior recommendations for weight management.Crossref | GoogleScholarGoogle Scholar | 29478353PubMed |

[43]  Teixeira PJ, Silva MN, Coutinho SR, Palmeira AL, Mata J, Vieira PN, Carraça EV, Santos TC, Sardinha LB. Mediators of weight loss and weight loss maintenance in middle-aged women. Obesity (Silver Spring) 2010; 18 725–35.
Mediators of weight loss and weight loss maintenance in middle-aged women.Crossref | GoogleScholarGoogle Scholar |

[44]  Crain AL, Sherwood NE, Martinson BC, Jeffery RW. Mediators of weight loss maintenance in the Keep It Off trial. Ann Behav Med 2018; 52 9–18.
| 28508330PubMed |

[45]  Moroshko I, Brennan L, O’Brien P. Predictors of dropout in weight loss interventions: a systematic review of the literature. Obes Rev 2011; 12 912–34.
Predictors of dropout in weight loss interventions: a systematic review of the literature.Crossref | GoogleScholarGoogle Scholar | 21815990PubMed |