Feed Safe: a multidisciplinary partnership approach results in a successful mobile application for breastfeeding mothers
Becky White A E , James White A , Roslyn Giglia B C and Susan Tawia DA Reach Health Promotion Innovations, PO Box 58, Wanneroo, WA 6946, Australia.
B Telethon Kids Institute, University of Western Australia, 100 Roberts Road, Subiaco, WA 6008, Australia.
C Curtin University, GPO Box U1987, Perth, WA 6845, Australia.
D Australian Breastfeeding Association, 1818–1822 Malvern Road, Malvern East, Vic. 3145, Australia.
E Corresponding author. Email: becky@rhpi.com.au
Health Promotion Journal of Australia 27(2) 111-117 https://doi.org/10.1071/HE15114
Submitted: 14 September 2015 Accepted: 4 April 2016 Published: 30 May 2016
Journal Compilation © Australian Health Promotion Association 2016
Abstract
Issue addressed: Mobile applications are increasingly being used in health promotion initiatives. Although there is evidence that developing these mobile health applications in multidisciplinary teams is good practice, there is a gap in the literature with respect to evaluation of the process of this partnership model and how best to disseminate the application into the community. The aim of this paper is twofold, to describe the partnership model in which the Feed Safe application was developed and to investigate what worked in terms of dissemination.
Methods: The process of working in partnership was measured using the VicHealth partnership analysis tool for health promotion. The dissemination strategy and reach of the application was measured using both automated analytics data and estimates of community-initiated promotion.
Results: The combined average score from the partnership analysis tool was 138 out of a possible 175. A multipronged dissemination strategy led to good uptake of the application among Australian women.
Conclusions: Multidisciplinary partnership models are important in the development of health promotion mobile applications. Recognising and utilising the skills of each partner organisation can help expand the reach of mobile health applications into the Australian population and aid in good uptake of health promotion resources.
So what?: Developing mobile applications in multidisciplinary partnerships is good practice and can lead to wide community uptake of the health promotion resource.
Key words: dissemination strategies, evaluation methods, information and communication technology, mhealth.
References
[1] Australian Communications and Media Authority. Smartphones and tablets. Uptake and use in Australia. Canberra: Australian Communications and Media Authority; 2013.[2] Deloitte. Media consumer survey 2014. Sydney: Deloitte. 2014. Available from: http://landing.deloitte.com.au/rs/deloitteaus/images/Deloitte_Media_Consumer_Survey_2014.pdf?mkt_tok=3RkMMJWWfF9wsRonua%2FPce%2FhmjTEU5z16egsWK%2B%2Bh4kz2EFye%2BLIHETpodcMTcVnN73YDBceEJhqyQJxPr3CKtEN09dxRhLgAA%3D%3D [Verified 22 April 2016].
[3] Neilsen. The Australian Online Landscape Review. August 2014. 2014. Available from: http://www.nielsen.com/content/dam/nielsenglobal/au/docs/reports/online-landscape-review/nielsen-landscape-review-august-2014.pdf [Verified 20 March 2015].
[4] Kratzke C, Cox C (2012) Smartphone technology and apps: rapidly changing health promotion. Int Electron J Health Educ 15, 72–82.
[5] Research2guidance. mHealth app developer economics 2014: the state of the art of health App publishing. 2014. Available from: http://www.research2guidance.com/r2g/research2guidance-mHealth-App-Developer-Economics-2014.pdf [Verified 10 April 2015].
[6] Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M (2015) Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth 3, e27
| Mobile app rating scale: a new tool for assessing the quality of health mobile apps.Crossref | GoogleScholarGoogle Scholar | 25760773PubMed |
[7] Muessig KE, Pike EC, LeGrand S, Hightow-Weidman LB (2013) Mobile phone applications for the care and prevention of HIV and other sexually transmitted diseases: a review. J Med Internet Res 15, e1
| Mobile phone applications for the care and prevention of HIV and other sexually transmitted diseases: a review.Crossref | GoogleScholarGoogle Scholar | 23291245PubMed |
[8] Lister C, West JH, Cannon B, Sax T, Brodegard D (2014) Just a fad? Gamification in health and fitness apps. JMIR Serious Games 2,
| Just a fad? Gamification in health and fitness apps.Crossref | GoogleScholarGoogle Scholar | 25654660PubMed |
[9] Becker S, Miron-Shatz T, Schumacher N, Krocza J, Diamantidis C, Albrecht U (2014) mHealth 2.0: experiences, possibilities, and perspectives. JMIR Mhealth Uhealth 2, e24
| mHealth 2.0: experiences, possibilities, and perspectives.Crossref | GoogleScholarGoogle Scholar | 25099752PubMed |
[10] Middelweerd A, Mollee J, van der Wal C, Brug J, te Velde S (2014) Apps to promote physical activity among adults: a review and content analysis. Int J Behav Nutr Phys Act 11, 97
| Apps to promote physical activity among adults: a review and content analysis.Crossref | GoogleScholarGoogle Scholar | 25059981PubMed |
[11] Dennis S, Hetherington SA, Borodzicz JA, Hermiz O, Zwar NA (2015) Challenges to establishing successful partnerships in community health promotion programs: local experiences from the national implementation of healthy eating activity and lifestyle (HEAL™) program. Health Promot J Austr 26, 45–51.
| Challenges to establishing successful partnerships in community health promotion programs: local experiences from the national implementation of healthy eating activity and lifestyle (HEAL™) program.Crossref | GoogleScholarGoogle Scholar | 26149254PubMed |
[12] VicHealth. The partnerships analysis tool. Melbourne: Victorian Health Promotion Foundation; 2011.
[13] Gold J, Pedrana AE, Stoove MA, Chang S, Howard S, Asselin J, Ilic O, Batrouney C, Hellard ME (2012) Developing health promotion interventions on social networking sites: recommendations from the FaceSpace Project. J Med Internet Res 14, e30
| Developing health promotion interventions on social networking sites: recommendations from the FaceSpace Project.Crossref | GoogleScholarGoogle Scholar | 22374589PubMed |
[14] Leavy JE, Rosenberg M, Barnes R, Bauman A, Bull FC (2013) Would you find thirty online? Website use in a Western Australian physical activity campaign. Health Promot J Austr 24, 118–25.
| Would you find thirty online? Website use in a Western Australian physical activity campaign.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC2c7gvFWiuw%3D%3D&md5=5dea362966f2c75775f4056252377bb8CAS | 24168738PubMed |
[15] Hides L, Kavanagh D, Stoyanov S, Zelenko O, Tjondroegoro D, Mani M. Mobile application rating scale (MARS): a new tool for assessing the quality of health mobile applications. Melbourne: Young and Well Cooperative Research Centre; 2014.
[16] Hebden L, Cook A, van der Ploeg HP, Allman-Farinelli M (2012) Development of smartphone applications for nutrition and physical activity behavior change. JMIR Res Protoc 1, e9
| Development of smartphone applications for nutrition and physical activity behavior change.Crossref | GoogleScholarGoogle Scholar | 23611892PubMed |
[17] White J (2013) Going native (or not): five questions to ask mobile application developers. Australas Med J 6, 7–14.
| Going native (or not): five questions to ask mobile application developers.Crossref | GoogleScholarGoogle Scholar | 23424610PubMed |
[18] Carter MC, Burley VJ, Cade JE (2013) Development of ‘My Meal Mate’ – a smartphone intervention for weight loss. Nutr Bull 38, 80–4.
| Development of ‘My Meal Mate’ – a smartphone intervention for weight loss.Crossref | GoogleScholarGoogle Scholar |
[19] National Health and Medical Research Council. Australian guidelines to reduce health risks from drinking alcohol. Canberra: National Health and Medical Research Council; 2009.
[20] Giglia R, Australian Breastfeeding Association (ABA) Alcohol and breastfeeding: a guide for mothers. Australian Breastfeeding Association. 2009. Available from: http://www.breastfeeding.asn [Verified 22 April 2016].
[21] Montgomery MR, Reasor MJ (1992) Retrograde extrapolation of blood alcohol data: an applied approach. J Toxicol Environ Health 36, 281–92.
| Retrograde extrapolation of blood alcohol data: an applied approach.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK38zntlyjtg%3D%3D&md5=4cba6a90df2b44ea15a0bf097a999fe8CAS | 1507264PubMed |
[22] Ho E, Collantes A, Kapur B, Moretty M, Koren G (2001) Alcohol and breastfeeding: calculation of time to zero level in milk. Biol Neonate 80, 219–22.
| Alcohol and breastfeeding: calculation of time to zero level in milk.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXnt1Oku74%3D&md5=46427590165d1b219fbb489838b3a238CAS | 11585986PubMed |
[23] Giglia R, Binns C (2006) Alcohol and lactation: a systematic review. Nutr Diet 63, 103–16.
| Alcohol and lactation: a systematic review.Crossref | GoogleScholarGoogle Scholar |
[24] Reach Health Promotion Innovations. Feed Safe. 2016. Available from: http://www.feedsafe.net [Verified 22 April 2016].
[25] Park C. Back to basics: direct, referral or organic – definitions straight from the source 2016 Google Analyics Blog. Google. 2009. Available from: http://analytics.blogspot.com.au/2009/08/back-to-basics-direct-referral-or.html [Verified 2].
[26] BabyCentre. BabyCentre. 2016. Available from: http://www.babycenter.com.au [Verified 22 April 2016].
[27] BabyCenter. BabyCenter 2015 Media Kit. 2015. Available from: http://www.babycentersolutions.com/docs/BabyCenter_2015_Media_Kit_v2.pdf [Verified 9 April 2016].
[28] O’Shea B. Drink timer. The West Australian 26 February 2014, p. 2.
[29] Rodie C. Breastfeeding mum kicked out of restaurant for drinking beer. 2014. Available from: http://www.essentialbaby.com.au/baby/breastfeeding/breastfeeding-mum-kicked-out-of-restaurant-for-drinking-beer-20140909-3f4lm.html [Verified 18 August 2015].