Iterative development of MobileMums: a physical activity intervention for women with young children

International Journal of Behavioral Nutrition and Physical Activity

Alison L Marshall³  Jasmine L O’Brien³  Yvette D Miller¹  Brianna S Fjeldsoe² 

[1] School of Psychology, Queensland Centre for Mothers and Babies, The University of Queensland, St Lucia, Queensland, Australia;School of Population Health, Cancer Prevention Research Centre, The University of Queensland, Herston, Queensland, Australia;School of Public Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia

关键词: SMS;    Text messaging;    mHealth;    Postnatal;    Exercise;    Mobile phone;   

Others  :  811081
DOI  :  10.1186/1479-5868-9-151

 received in 2012-03-05, accepted in 2012-12-04,  发布年份 2012

【 摘 要 】

Background

To describe the iterative development process and final version of ‘MobileMums’: a physical activity intervention for women with young children (<5 years) delivered primarily via mobile telephone (mHealth) short messaging service (SMS).

Methods

MobileMums development followed the five steps outlined in the mHealth development and evaluation framework: 1) conceptualization (critique of literature and theory); 2) formative research (focus groups, n= 48); 3) pre-testing (qualitative pilot of intervention components, n= 12); 4) pilot testing (pilot RCT, n= 88); and, 5) qualitative evaluation of the refined intervention (n= 6).

Results

Key findings identified throughout the development process that shaped the MobileMums program were the need for: behaviour change techniques to be grounded in Social Cognitive Theory; tailored SMS content; two-way SMS interaction; rapport between SMS sender and recipient; an automated software platform to generate and send SMS; and, flexibility in location of a face-to-face delivered component.

Conclusions

The final version of MobileMums is flexible and adaptive to individual participant’s physical activity goals, expectations and environment. MobileMums is being evaluated in a community-based randomised controlled efficacy trial (ACTRN12611000481976).

【 授权许可】

   
2012 Fjeldsoe et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

【 参考文献 】

• [1]Michie S, Abraham C: Interventions to change health behaviours: Evidence-based or evidence-inspired? Psychol Health 2004, 19:29-49.
• [2]Eysenbach G, CONSORT-EHEALTH Group: CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res 2011, 13:e126.
• [3]Michie S, Ashford S, Sniehotta F, Dombrowski S, Bishop A, French D: A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychol Health 2011, 11:1479-98.
• [4]Schulz R, Czaja S, McKay J, Ory M, Belle S: Intervention taxonomy (ITAX): describing essential features of interventions. Am J Health Behav 2010, 34:811-821.
• [5]Des Jarlais DC, Lyles C, Crepaz N: Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. Am J Public Health 2004, 94:361-366.
• [6]Pfaeffli L, Maddison R, Whittaker R, Stewart R, Kerr A, Jiang Y, Kira G, Carter K, Dalleck L: A mHealth cardiac rehabilitation exercise intervention: findings from content development studies. BMC Cardiovasc Disord 2012, 12:e36. BioMed Central Full Text
• [7]Whittaker R, Maddison R, McRobbie H, Bullen C, Denny S, Dorey E, Ellis-Pegler M, van Rooyen J, Rodgers A: A multimedia mobile phone-based youth smoking cessation intervention: findings from content development and piloting studies. J Med Internet Res 2008, 10:e49.
• [8]Cherrington A, Martin M, Halanych J, Andreae S, Safford M, Wright M, Appel S: Intervention Mapping as a Guide for the Development of a Diabetes Peer Support Intervention in Rural Alabama. Prev Chronic Dis 2012, 9:e36.
• [9]Kok G, Schaalma H, Ruiter RA, van Empelen P, Brug J: Intervention mapping: protocol for applying health psychology theory to prevention programmes. J Health Psych 2004, 9:85-98.
• [10]Campbell M, Fitzpatrick R, Haines A, Kinmonth AL, Sandercock P, Spiegelhalter D, Tyrer P: Framework for design and evaluation of complex interventions to improve health. BMJ (Clinical Research Ed) 2000, 321:694-696.
• [11]Collins LM, Murphy SA, Strecher V: The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. Am J Prev Med 2007, 32:S112-118.
• [12]Whittaker R, Merry S, Dorey E, Maddison R: A development and evaluation process for mHealth interventions: Examples from New Zealand. J Health Comm 2012, s17:11-21.
• [13]Bandura A: Social foundations of thought and action: A social cognitive theory. N.J.: Prentice Hall; 1986.
• [14]Bandura A: Health promotion by social cognitive means. Health Ed Behavior 2004, 31:143-164.
• [15]Marcus BH, Pinto BM, Simkin LR, Audrain JE, Taylor ER: Application of theoretical models to exercise behavior among employed women. Am J Health Promotion 1994, 9:49-55.
• [16]Brown W, Mishra G, Lee C, Bauman A: Leisure time physical activity in Australian women: Relationship with well being and symptoms. RQES 2000, 71:206-216.
• [17]Nomaguchi K, Bianchi S: Exercise time: Gender differences in the effects of marriage, parenthood and employment. J Marriage Fam 2004, 66:413-430.
• [18]Brown W, Trost S: Life transitions and changing physical activity patterns in young women. Am J Prev Med 2003, 25:140-143.
• [19]Falba TA, Sindelar JL: Spousal concordance in health behavior change. Health Serv Res 2008, 43:96-116.
• [20]Armstrong K, Edwards H: The effects of exercise and social support on mothers reporting depressive symptoms: A pilot randomized controlled trial. Int J Mental Health Nurs 2003, 12:130-138.
• [21]Currie J: Pramwalking as postnatal exercise and support: An evaluation of the stroll Your Way to Well-Being Program and supporting resources in terms of individual participation rates and community group formation. Aust College Midwives 2001, 14:21-25.
• [22]Watson N, Milat AJ, Thomas M, Currie J: The feasibility and effectiveness of pram walking groups for postpartum women in western Sydney. Health Promotion J Aust 2005, 16:93-99.
• [23]Rowley C, Dixon L, Palk R: Promoting physical activity: walking programmes for mothers and children. Community Pract 2007, 80:28-32.
• [24]Cody R, Lee C: Development and evaluation of a pilot program to promote exercise among mothers of preschool children. Int J Behav Med 1999, 6:13-29.
• [25]Miller Y, Trost S, Brown W: Mediators of physical activity behavior change among women with young children. Am J Prev Med 2002, 23:98-103.
• [26]Fahrenwald NL, Atwood JR, Walker SN, Johnson DR, Berg K: A randomized pilot test of "Moms on the Move" a physical activity intervention for WIC Mothers. Annals Behav Med 2004, 27:82-90.
• [27]Cramp A, Brawley L: Moms in motion: a group-mediated cognitive-behavioural physical activity intervention. Int J Behav Nutr Phys Act 2006, 3:1-9. BioMed Central Full Text
• [28]Clarke KK, Freeland-Graves J, Klohe-Lehman DM, Milani T, Nuss H, Laffrey S: Promotion of physical actvity in low-income mothers using pedometers. JADA 2007, 107:962-967.
• [29]Rhodes RE, Pfaeffli LA: Mediators of physical activity behaviour change among adult non-clinical populations: a review update. Int J Behav Nutr Phys Act 2010, 7:37. BioMed Central Full Text
• [30]Cramp A, Brawley L: Sustaining self-regulatory efficacy and psychological outcome expectations for postnatal exercise: effects of a group-mediated cognitive behavioural intervention. British J Health Psych 2009, 14:595-611.
• [31]Stewart D, Shamdasani P: Focus groups: Theory and practice. 1st edition. California, USA: Sage Publications; 1990.
• [32]Australian Government: National physical activity guidelines for adults. Canberra: Department of Health and Ageing; 2005.
• [33]Fjeldsoe BS, Marshall AL, Miller YD: Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med 2009, 36:165-173.
• [34]Whittaker R, Borland R, Bullen C, Lin RB, McRobbie H, Rodgers A: Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev 2009, 4:CD006611.
• [35]Cole-Lewis H, Kershaw T: Text messaging as a tool for behavior change in disease prevention and management. Epi Reviews 2010, 32:56-69.
• [36]Wei J, Hollin I, Kachnowski S: A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions. J Telemed Telecare 2010, 17:41-48.
• [37]Krishna S, Boren SA, Balas EA: Healthcare via cell phones: a systematic review. Telemed J E Health 2009, 15:231-240.
• [38]Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R: Health behavior models in the age of mobile interventions: are our theories up to the task? Transl Behav Med 2011, 1:53-71.
• [39]Collins BS, Marshall AL, Miller YD: Physical activity in women with young children: How can we assess "anything that's not sitting"? Women Health 2007, 45:95-116.
• [40]Fjeldsoe BS, Miller YD, Marshall AL: MobileMums: a randomized controlled trial of an SMS-based physical activity intervention. Annals Behav Med 2010, 39:101-111.
• [41]Fjeldsoe B, Miller YD, Marshall AL: Social cognitive mediators of the effect of the MobileMums intervention on physical activity. Health Psych 2012. Advance online publication, May 21, 2012
• [42]Williams DM, Anderson ES, Winett RA: A review of the outcome expectancy construct in physical activity research. Annals Behav Med 2005, 29:70-79.
• [43]Abrahams C: WIDER Recommendations to Improve Reporting of the Content of Behaviour Change Interventions. http://interventiondesign.co.uk/wp-content/uploads/2009/02/wider-recommendations.pdf webcite. Last accessed 2/09/2012
• [44]Altman DG, Schultz KF, Moher D, Egger M, Davidoff F, Elbourne D, Gotzsche PC, Lang T: The revised CONSORT statement for reporting randomized trials: Explanation and elaboration. Annals Int Med 2001, 134:663-694.
• [45]Abroms LC, Padmanabhan N, Thaweethai L, Phillips T: iPhone apps for smoking cessation: a content analysis. Am J Prev Med 2011, 40:279-285.
• [46]Rao A, Hou P, Golnik T, Flaherty J, Vu S: Evolution of data management tools for managing self-monitoring of blood glucose results: a survey of iPhone applications. J Diabetes Sci Technol 2010, 4:949-957.
• [47]Hurling R, Catt M, Boni MD, Fairley BW, Hurst T, Murray P, Richardson A, Sodhi JS: Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. J Med Internet Res 2007, 9:e7.
• [48]Xia Y, Cheung V, Garcia E, Ding H, Karunaithi M: Development of an automated physical activity classification application for mobile phones. Stud Health Technol Inform 2011, 168:188-194.