The cost-effectiveness of the MobileMums intervention to increase physical activity among mothers with young children: a Markov model informed by a randomised controlled trial

BMJ Open

Volumn 5, Issue 4, 2015, Pages

  Burn, Edward ^a   Marshall, Alison L ^a   Miller, Yvette D ^a   Barnett, Adrian G ^a   Fjeldsoe, Brianna S ^b   Graves, Nicholas ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUSTRALIA; CHILD; CLINICAL ARTICLE; CLINICAL TRIAL REGISTRY; COHORT ANALYSIS; CONTROLLED STUDY; COST EFFECTIVENESS ANALYSIS; FEMALE; HEALTH CARE COST; HUMAN; HUMAN EXPERIMENT; MARKOV CHAIN; MOTHER; OUTCOME ASSESSMENT; PHYSICAL ACTIVITY; PROBABILITY; QUALITY ADJUSTED LIFE YEAR; QUEENSLAND; RANDOMIZED CONTROLLED TRIAL; SENSITIVITY ANALYSIS; ADULT; ATTITUDE TO HEALTH; COST BENEFIT ANALYSIS; EPIDEMIOLOGY; EXERCISE; HEALTH PROMOTION; MOBILE PHONE; PROGRAM EVALUATION; PSYCHOLOGY; QUALITY OF LIFE; QUESTIONNAIRE; RISK REDUCTION; SEDENTARY LIFESTYLE; SOCIAL SUPPORT; STATISTICS AND NUMERICAL DATA; TEXT MESSAGING;

ADULT; AUSTRALIA; CELL PHONES; COST-BENEFIT ANALYSIS; EXERCISE; FEMALE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HEALTH PROMOTION; HUMANS; MARKOV CHAINS; MOTHERS; PROGRAM EVALUATION; QUALITY OF LIFE; QUEENSLAND; RISK REDUCTION BEHAVIOR; SEDENTARY LIFESTYLE; SOCIAL SUPPORT; SURVEYS AND QUESTIONNAIRES; TEXT MESSAGING;

EID: 84984876285     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/BMJOPEN-2014-007226     Document Type: Article

References (29)

1. World Health Organization (WHO). Global health risks: mortality and burden of disease attributable to selected major risks. Geneva: World Health Organization (WHO), 2009.
2. Lee I, Shiroma E, Lobelo F, et al. Impact of physical inactivity on the world's major non-communicable diseases. Lancet 2012;380:219-29.
3. Australian Bureau of Statistics. Australian health survey: first results, 2011-2012. Canberra: Australian Bureau of Statistics, 2012.
4. Begg S, Vos T, Barker B, et al. The burden of disease and injury in Australia 2003. Canberra: Australian Institute of Health and Welfare, 2007.
5. Cadilhac D, Magnus A, Cumming T, et al. The health and economic benefits of reducing disease risk factors. Victoria: VicHealth, 2009.
6. Australian Institute of Health and Welfare. Key indicators of progress for chronic disease and associated determinants. Canberra: Australian Institute of Health and Welfare, 2011.
7. Love E, Rose M, Verhoef M. Women's social roles and their exercise participation. Women Health 1992;19:15-29.
8. Brown W, Mishra G, Lee C, et al. Leisure time physical activity in Australian women: relationship with well being and symptoms. Res Q Exerc Sport 2000;71:206-16.
9. Brown W, Trost S. Life transitions and changing physical activity patterns in young women. AM J Prev Med 2003:25:140-3.
10. Nomaguchi K, Bianchi S. Exercise time: gender differences in the effects of marriage, parenthood, and employment. J Marriage Fam 2004;66:413-30.
11. Fjeldsoe BS, Miller YD, O'Brien JL, et al. Iterative development of MobileMums: a physical activity intervention for women with young children. Int J Behav Nutr Phys Act 2012;9:151.
12. Biggs A. Health in Australia: a quick guide. Canberra: Parliament of Australia, Department of Parliamentary Services, 2013.
13. Sculpher MJ, Pang FS, Manca A, et al. Generalisability in economic evaluation studies in healthcare: a review and case studies. Health Technol Assess 2004;8:iii-iv, 1-192.
14. Li R, Zeki L, Hilder L, et al. Australia's mothers and babies. Canberra: Australian Institute of Health and Welfare, 2010.
15. Marshall A, Miller Y, Graves B, et al. Moving MobileMums forward: protocol for a larger randomized controlled trial of an improved physical activity program for women with young children. BMC Public Health 2013;13.
16. Fjeldsoe B, Miller Y, Graves N, et al. Randomized controlled trial of an improved version of MobileMums, an intervention for increasing physical activity in women with young children. Ann Behav Med Published Online First 13 Jan 2015.
17. Gray A, Rivero-Arias O, Clarke P. Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Med Decis Making 2006;26:18-29.
18. Medical Services Advisory Committee. Technical guidelines for preparing assessment reports for the Medical Services Advisory Committee. Canberra: Medical Services Advisory Committee, 2012.
19. Pharmaceutical Benefits Advisory Committee. Guidelines for preparing submissions to the Pharmaceutical Benefits Advisory Committee. Canberra: Pharmaceutical Benefits Advisory Committee, 2013.
20. Claxton K, Walker S, Palmer S, et al. Appropriate perspectives for health care decisions. York: Centre for Health Economics, University of York, 2010.
21. Queensland Health. Health practioners' (Queensland Health) certified agreement. HPEB2. Queensland Health, 2011.
22. Australian Government Department of Health and Ageing. Medicare benefits schedulebook: operating from 01 July 2011. Canberra: Department of Health and Ageing, 2011.
23. Australian Institute of Health and Welfare (AIHW). Australian hospital statistics 2011-12. Health services series no. 50. Canberra: AIHW, 2013.
24. Drummond M, McGuire A. Economic evaluation in health care: merging theory with practice. New York: Oxford University Press, 2001.
25. Shiroiwa T, Sung Y-K, Fukuda T, et al. International survey on willingness-to-pay (WTP) for one additional QALY gained: what is the threshold of cost effectiveness? Health Econ 2009;19:422-37.
26. Briggs A, Sculpher M, Claxton K. Decision modelling for health economic evaluation. New York: Oxford University Press, 2006.
27. Dalziel K, Segal L, Elley R. Cost utility of physical activity in counselling. Aust NZ J Public Health 2005;30:57-63.
28. Cobiac L, Vos T, Barendregt JJ. Cost-effectiveness of interventions to promote physical activity: a modelling study. PLoS Med 2009;6: e1000110.
29. Roux L, Pratt M, Tengs TO, et al. Cost effectiveness of community-based physical activity interventions. Am J Prev Med 2008;35 (6):578-88.