| BMC Pregnancy and Childbirth | |
| Can a text message a week improve breastfeeding? | |
| Joy Parkinson3  Josephine Previte4  Rebekah Russell-Bennett1  Danielle Gallegos2  | |
| [1] QUT Business School, Queensland University of Technology, George St, Brisbane 4001, Australia;School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Brisbane 4059, Australia;Griffith Business School, Griffith University, Nathan, Brisbane 4111, Australia;UQ Business School, University of Queensland, St Lucia, Brisbane 4072, Australia | |
| 关键词: Coping behaviour; Intervention studies; Text messaging; Mobile phone; Breastfeeding; | |
| Others : 1091834 DOI : 10.1186/s12884-014-0374-2 |
|
| received in 2014-06-16, accepted in 2014-10-15, 发布年份 2014 | |
PDF
|
|
【 摘 要 】
Background
Breastfeeding is recognised as the optimal method for feeding infants with health gains made by reducing infectious diseases in infancy; and chronic diseases, including obesity, in childhood, adolescence and adulthood. Despite this, exclusivity and duration in developed countries remains resistant to improvement. The objectives of this research were to test if an automated mobile phone text messaging intervention, delivering one text message a week, could increase “any” breastfeeding rates and improve breastfeeding self-efficacy and coping.
Methods
Women were eligible to participate if they were: over eighteen years; had an infant less than three months old; were currently breastfeeding; no diagnosed mental illness; and used a mobile phone. Women in the intervention group received MumBubConnect, a text messaging service with automated responses delivered once a week for 8 weeks. Women in the comparison group received their usual care and were sampled two years after the intervention group. Data collection included online surveys at two time points, week zero and week nine, to measure breastfeeding exclusivity and duration, coping, emotions, accountability and self-efficacy. A range of statistical analyses were used to test for differences between groups. Hierarchical regression was used to investigate change in breastfeeding outcome, between groups, adjusting for co-variates.
Results
The intervention group had 120 participants at commencement and 114 at completion, the comparison group had 114 participants at commencement and 86 at completion. MumBubConnect had a positive impact on the primary outcome of breastfeeding behaviors with women receiving the intervention more likely to continue exclusive breastfeeding; with a 6% decrease in exclusive breastfeeding in the intervention group, compared to a 14% decrease in the comparison group (p < 0.001). This remained significant after controlling for infant age, mother’s income, education and delivery type (p = 0.04). Women in the intervention group demonstrated active coping and were less likely to display emotions-focussed coping (p < .001). There was no discernible statistical effect on self-efficacy or accountability.
Conclusions
A fully automated text messaging services appears to improve exclusive breastfeeding duration. The service provides a well-accepted, personalised support service that empowers women to actively resolve breastfeeding issues.
Trial registration
Australian New Zealand Clinical Trials Registry: ACTRN12614001091695 webcite.
【 授权许可】
2014 Gallegos et al.; licensee BioMed Central Ltd.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 20150128174549713.pdf | 293KB | ||
| Figure 1. | 45KB | Image |
【 图 表 】
Figure 1.
【 参考文献 】
- [1]Report of the Expert Consultation on the Optimal Duration of Exclusive Breast Feeding. WHO, Geneva; 2001.
- [2]Global Strategy for Infant and Young Child Feeding. WHO, Geneva; 2003.
- [3]Australian Health Ministers’ Conference: The Australian National Breastfeeding Strategy 2010-2015. Australian Government Department of Health and Ageing; 2009.
- [4]Horta BL, Victora CG: Long Term Effects of Breastfeeding: A Systematic Review. World Health Organization, Geneva; 2013.
- [5]Kramer MS, Kakuma R: Optimal Duration of Exclusive Breastfeeding. 8th edition. The Cochrane Collaboration; 2012:CD003517. doi:003510.001002/14651858.CD14003517.pub14651852.
- [6]Infant Feeding Guidelines. NHMRC, Canberra; 2013.
- [7]2010 Australian National Infant Feeding Survey: Indicator Results. AIHW, Canberra; 2011.
- [8]Indicators for Assessing Infant and Young Child Feeding Practices: Conclusions of a Consensus Meeting Held 6–8 November 2007 in Washington D.C., USA. World Health Organization, Geneva; 2008.
- [9]Breastfeeding Report Card - United States 2012. Center for Disease Control and Prevention, Atlanta, Georgia; 2012.
- [10]McAndrew F, Thompson J, Fellows L, Large A, Speed M, Renfrew MJ: Infant Feeding Survey 2010. Health and Social Care Information Centre, United Kingdom; 2012.
- [11]Brodribb W, Fallon AB, Hegney D, O’Brien M: Identifying predictors of the reasons women give for choosing to breastfeed. J Hum Lact 2007, 23(4):338-344.
- [12]Thulier D, Mercer J: Variables associated with breastfeeding duration. Journal of Obstetric, Gynecologic, & Neonatal Nursing 2009, 38(3):259-268.
- [13]Brand E, Kothari C, Stark MA: Factors related to breastfeeding discontinuation between hospital discharge and 2 weeks postpartum. Journal of Perinatal Education 2011, 20(1):36-44.
- [14]Meedya S, Fahy K, Kable A: Factors that positively influence breastfeeding duration to 6 months: a literature review. Women and Birth 2010, 23(4):135-145.
- [15]Baghurst P, Pincombe J, Peat B, Henderson A, Reddin E, Antoniou G: Breast feeding self-efficacy and other determinants of the duration of breast feeding in a cohort of first-time mothers in Adelaide, Australia. Midwifery 2007, 23(4):382-391.
- [16]Folkman S, Lazarus RS: If it changes it must be a process: Study of emotion and coping during three stages of a college examination. J Pers Soc Psychol 1985, 48(1):150-170.
- [17]Vitaliano PP, Russo J, Carr JE, Maiuro RD, Becker J: The ways of coping checklist: revision and psychometric properties. Multivar Behav Res 1985, 20:3-26.
- [18]Britton C, McCormic F, Renfrew M, Wade A, King S: Support for breastfeeding mothers. Cochrane Database Syst Rev 2009, 1:1-48.
- [19]Renfrew MJ, McCormick F, Wade A, Quinn B, Dowsell T: Support for healthy breastfeeding mothers with healthy term babies.Cochrane Database Syst Rev 2012, CD001141(5). doi:10.1002/14651858.CD14001141.pub14651854.
- [20]Dennis C-L, Kingston D: A systematic review of telephone support for women during pregnancy and the early postpartum period. Journal of Obstetric, Gynecologic, & Neonatal Nursing 2008, 37(3):301-314.
- [21]Pate B: A systematic review of the effectiveness of breastfeeding intervention delivery methods. Journal of Obstetric, Gynecologic, & Neonatal Nursing 2009, 38(6):642-653.
- [22]Ahmed AH, Ouzzani M: Interactive web-based breastfeeding monitoring: feasibility, usability, and acceptability. J Hum Lact 2012, 28(4):468-475.
- [23]Whittaker R, McRobbie H, Bullen C, Borland R, Rodgers A, Gu Y: Mobile Phone-Based Interventions for Smoking Cessation. The Cochrane, Library; 2012.
- [24]Free C, Knight R, Robertson S, Whittaker R, Edwards P, Zhou W, Rodgers A, Cairns J, Kenward MG, Roberts I: Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial. Lancet 2011, 378(9785):49-55.
- [25]Head KJ, Noar SM, Iannarino NT, Grant Harrington N: Efficacy of text messaging-based interventions for health promotion: A meta-analysis. Soc Sci Med 2013, 97:41-48.
- [26]Shaw RJ, Bosworth HB, Silva SS, Lipkus IM, Davis LL, Sha RS, Johnson CM: Mobile health messages help sustain recent weight loss. The American Journal of Medicine 2013, 126(11):1002-1009.
- [27]Fjeldsoe BS, Marshall AL, Miller YD: Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med 2009, 36(2):165-173.
- [28]Hurling R, Catt M, DeBoni M, Fairley B, Hurst T, Murray P, Richardson A, Sodhi J: Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. Journal of Medical Internet Research 2007, 9:e7.
- [29]Kim BH, Glanz K: Text messaging to motivate walking in older African Americans: a randomized controlled trial. Am J Prev Med 2013, 44(1):71-75.
- [30]de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R: Mobile phone messaging for facilitating self-management of long-term illnesses. The Cochrane Collaboration 2012, 12:1-40. Art. No.: CD007459
- [31]Franklin V, Waller A, Pagliari C, Greene S: A randomized controlled trial of SweetTalk, a text-messaging system to support young people with diabetes. Diabetes Medicine 2006, 23:1332-1338.
- [32]Tamrat T, Kachnowski S: Special delivery: an analysis of mhealth in maternal and newborn health programs and their outcomes around the world.Matern Child Health J 2011. doi:10.1007/s10995-011-0836-3.
- [33][http:/ / www.itu.int/ en/ ITU-D/ Statistics/ Documents/ facts/ ICTFactsFigures2013-e.pdf] webcite ICT Facts and Figures..
- [34]Gallegos D, Russell-Bennett R, Previte J: An innovative approach to reducing risks associated with infant feeding: the use of technology. Journal of Nonprofit and Public Sector Marketing 2011, 23(4):327-347.
- [35]Health Q, Gabriel R, Pollard G, Suleman G, Coyne T, Vidgen H: Infant and Child Nutrition in Queensland 2003. Department of Health, Brisbane, Queensland; 2005.
- [36]Dennis C-L, Faux S: Development and psychometric testing of the breastfeeding self-efficacy scale. Research in Nursing & Health 1999, 22(5):399-409.
- [37]Matich RJ, Sims LS: A comparison of social support variables between women who intend to breast or bottle feed. Soc Sci Med 1992, 34(8):919-927.
- [38]Ro KI, Tyssen R, Hoffart A, Sexton H, Aasland O, Gude T: A three-year cohort study of the relationships between coping, job stress and burnout after a counselling intervention for help-seeking physicians. BMC Public Health 2010, 10:213. BioMed Central Full Text
- [39]Passyn K, Sujan M: Self-accountability emotions and fear appeals: motivating behavior. The Journal of Consumer Research 2006, 32(4):583-589.
- [40][http://www.abs.gov.au/ausstats/abs@.nsf/mf/2033.0.55.001/] webcite Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia - Data only, 2006..
- [41]Commonwealth Department of Health and Aged Care: Measuring Remoteness: Accessibility/Remoteness Index of Australia (ARIA). 2001.
- [42]Australian Institute of Family Studies: Growing Up In Australia: The Longitudinal Study of Australian Children, Annual Report 2006-07. Canberra; 2008.
- [43]Dennis C-L E: Identifying predictors of breastfeeding self-efficacy in the immediate postpartum period. Research in Nursing & Health 2006, 29(4):256-268.
- [44]Bandura A: Self-efficacy: toward a unifying theory of behavioral change. Psychology Reviews 1977, 84(2):191-215.
- [45]Clarke D, Goosen T: The mediating effects of coping strategies in the relationship between automatic negative thoughts and depression in a clinical sample of diabetes patients. Personal Individ Differ 2009, 46(4):460-464.
- [46]Dysvik E, Natvig GK, Eikeland O-J, Lindstrøm TC: Coping with chronic pain. Int J Nurs Stud 2005, 42(3):297-305.
- [47]Pucheu S, Consoli SM, D’Auzac C, Français P, Issad B: Do health causal attributions and coping strategies act as moderators of quality of life in peritoneal dialysis patients? J Psychosom Res 2004, 56(3):317-322.
- [48]Soulas T, Sultan S, Gurruchaga J-M, Palfi S, Fénelon G: Depression and coping as predictors of change after deep brain stimulation in Parkinson’s disease. World Neurosurgery 2011, 75(3–4):525-532.
- [49]Tschanz JT, Piercy K, Corcoran CD, Fauth E, Norton MC, Rabins PV, Tschanz BT, Deberard MS, Snyder C, Smith C, Lee L, Lyketsos CG: Caregiver coping strategies predict cognitive and functional decline in dementia: the cache county dementia progression study. The American Journal of Geriatric Psychiatry 2013, 21(1):57-66.
- [50]Fogg BJ: Why Texting 4 Health? In Texting 4 Health: A Simple, Powerful Way to Change Lives. Edited by Fogg BJ, Adler R. Captology Media, Stanford, California Stanford University; 2009.
- [51]Fogg BJ, Eckles D: Mobile Persuasion: 20 Perspectives on the Future of Behavior Change. Stanford Captology Media, Standford, CA; 2007.
- [52]Sanson-Fisher RW, Bonevski B, Green LW, D’Este C: Limitations of the randomized controlled trial in evaluating population-based health interventions. Am J Prev Med 2007, 33(2):155-161.
PDF