Skip to main content
Erschienen in: Translational Behavioral Medicine 4/2016

02.12.2015 | Case Study

Simplified Novel Application (SNApp) framework: a guide to developing and implementing second-generation mobile applications for behavioral health research

verfasst von: Jennifer Fillo, PhD, B. Lynette Staplefoote-Boynton, MPH, Angel Martinez, MS, Lisa Sontag-Padilla, PhD, William G. Shadel, PhD, Steven C. Martino, PhD, Claude M. Setodji, PhD, Daniella Meeker, PhD, Deborah Scharf, PhD

Erschienen in: Translational Behavioral Medicine | Ausgabe 4/2016

Einloggen, um Zugang zu erhalten

Abstract

Advances in mobile technology and mobile applications (apps) have opened up an exciting new frontier for behavioral health researchers, with a “second generation” of apps allowing for the simultaneous collection of multiple streams of data in real time. With this comes a host of technical decisions and ethical considerations unique to this evolving approach to research. Drawing on our experience developing a second-generation app for the simultaneous collection of text message, voice, and self-report data, we provide a framework for researchers interested in developing and using second-generation mobile apps to study health behaviors. Our Simplified Novel Application (SNApp) framework breaks the app development process into four phases: (1) information and resource gathering, (2) software and hardware decisions, (3) software development and testing, and (4) study start-up and implementation. At each phase, we address common challenges and ethical issues and make suggestions for effective and efficient app development. Our goal is to help researchers effectively balance priorities related to the function of the app with the realities of app development, human subjects issues, and project resource constraints.
Fußnoten
1
At the time of publication, open-source apps were available to collect data related to a variety of conditions, such as diabetes, asthma, Parkinson’s disease, cardiovascular disease, and breast cancer.
 
2
Health researchers may be particularly interested in the Apple ResearchKit: www.​apple.​com/​researchkit. It is an open-source framework that aids in the creation of apps for medical research by utilizing the sensors and processing power built in to iPhones.
 
3
We have found the Massachusetts Institute of Technology resources (e.g., tutorials, forums) for developing Android applications to be particularly helpful: appinventor.mit.edu.
 
4
Apple is more restrictive about what developers are allowed to alter about the phone and its standard functions (e.g., text message interception, low-level audio access). Developers have more flexibility to alter device functions to meet software needs with Android.
 
5
Whereas both charge annual fees to develop and sell applications through their platforms (Apple $99, Google $25), Google allows non-market apps to be installed on Android devices. Apple’s “App Store” requires approval before an app can run on an iOS device, but an iOS developer can provision up to 100 devices (owned by the developer) per year for testing purposes without approval.
 
Literatur
1.
Zurück zum Zitat Schwartz JE, Stone AA. The analysis of real-time momentary data: a practical guide. In: Stone AA, Shiffman S, Atienza AA, Nebeling L, eds. The science of real-time data capture: self-reports in health research. 1st ed. New York: Oxford University Press; 2007: 76-116. Schwartz JE, Stone AA. The analysis of real-time momentary data: a practical guide. In: Stone AA, Shiffman S, Atienza AA, Nebeling L, eds. The science of real-time data capture: self-reports in health research. 1st ed. New York: Oxford University Press; 2007: 76-116.
2.
Zurück zum Zitat DiIorio C, Dudley WN, Soet JE, McCarty F. Sexual possibility situations and sexual behaviors among young adolescents: the moderating role of protective factors. J Adolesc Health. 2004; 35(6): 528-e511.CrossRef DiIorio C, Dudley WN, Soet JE, McCarty F. Sexual possibility situations and sexual behaviors among young adolescents: the moderating role of protective factors. J Adolesc Health. 2004; 35(6): 528-e511.CrossRef
3.
Zurück zum Zitat O’Donnell L, Myint‐U A, O’Donnell CR, Stueve A. Long‐term influence of sexual norms and attitudes on timing of sexual initiation among urban minority youth. J Sch Health. 2003; 73(2): 68-75.CrossRefPubMed O’Donnell L, Myint‐U A, O’Donnell CR, Stueve A. Long‐term influence of sexual norms and attitudes on timing of sexual initiation among urban minority youth. J Sch Health. 2003; 73(2): 68-75.CrossRefPubMed
4.
Zurück zum Zitat Santelli JS, Kaiser J, Hirsch L, Radosh A, Simkin L, Middlestadt S. Initiation of sexual intercourse among middle school adolescents: the influence of psychosocial factors. J Adolesc Health. 2004; 34(3): 200-208.CrossRefPubMed Santelli JS, Kaiser J, Hirsch L, Radosh A, Simkin L, Middlestadt S. Initiation of sexual intercourse among middle school adolescents: the influence of psychosocial factors. J Adolesc Health. 2004; 34(3): 200-208.CrossRefPubMed
5.
Zurück zum Zitat Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008; 4: 1-32.CrossRefPubMed Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008; 4: 1-32.CrossRefPubMed
6.
Zurück zum Zitat Mehl MR. Eavesdropping on health: a naturalistic observation approach for social health research. Soc Personal Psychol Compass. 2007; 1(1): 359-380.CrossRef Mehl MR. Eavesdropping on health: a naturalistic observation approach for social health research. Soc Personal Psychol Compass. 2007; 1(1): 359-380.CrossRef
7.
Zurück zum Zitat Dennison L, Morrison L, Conway G, Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res. 2013; 15(4), e86.CrossRefPubMedPubMedCentral Dennison L, Morrison L, Conway G, Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res. 2013; 15(4), e86.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat McGillicuddy JW, Weiland AK, Frenzel RM, et al. Patient attitudes toward mobile phone-based health monitoring: questionnaire study among kidney transplant recipients. J Med Internet Res. 2013; 15(1), e6.CrossRefPubMedPubMedCentral McGillicuddy JW, Weiland AK, Frenzel RM, et al. Patient attitudes toward mobile phone-based health monitoring: questionnaire study among kidney transplant recipients. J Med Internet Res. 2013; 15(1), e6.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Krueger RA, Casey MA. Focus groups: a practical guide for applied research. 4th ed. Thousand Oaks: SAGE Publications; 2014. Krueger RA, Casey MA. Focus groups: a practical guide for applied research. 4th ed. Thousand Oaks: SAGE Publications; 2014.
10.
Zurück zum Zitat Stewart DW, Shamdasani PN. Focus groups: theory and practice, vol. 20. Thousand Oaks: Sage Publications; 2015. Stewart DW, Shamdasani PN. Focus groups: theory and practice, vol. 20. Thousand Oaks: Sage Publications; 2015.
11.
Zurück zum Zitat Maguire M. Methods to support human-centred design. Int J Hum Comput Stud. 2001; 55(4): 587-634.CrossRef Maguire M. Methods to support human-centred design. Int J Hum Comput Stud. 2001; 55(4): 587-634.CrossRef
16.
Zurück zum Zitat Ritter S. Apple’s ResearchKit development framework for iPhone apps enables innovative approaches to medical research data collection. J Clin Trials. 2015; 5, e120. Ritter S. Apple’s ResearchKit development framework for iPhone apps enables innovative approaches to medical research data collection. J Clin Trials. 2015; 5, e120.
17.
Zurück zum Zitat The connected enterprise: keeping pace with mobile development. Framingham, MA: CIO Strategic Marketing Services and Triangle Publishing Services Co. Inc.;2014. The connected enterprise: keeping pace with mobile development. Framingham, MA: CIO Strategic Marketing Services and Triangle Publishing Services Co. Inc.;2014.
19.
Zurück zum Zitat Shiffman S, Hickcox M, Paty JA, Gnys M, Kassel JD, Richards TJ. Progression from a smoking lapse to relapse: prediction from abstinence violation effects, nicotine dependence, and lapse characteristics. J Consult Clin Psychol. 1996; 64(5): 993-1002.CrossRefPubMed Shiffman S, Hickcox M, Paty JA, Gnys M, Kassel JD, Richards TJ. Progression from a smoking lapse to relapse: prediction from abstinence violation effects, nicotine dependence, and lapse characteristics. J Consult Clin Psychol. 1996; 64(5): 993-1002.CrossRefPubMed
20.
Zurück zum Zitat Shiffman S, Scharf D, Shadel W, et al. Analyzing milestones in smoking cessation: an illustration from a randomized trial of high dose nicotine patch. J Consult Clin Psychol. 2006; 74: 276-285.CrossRefPubMed Shiffman S, Scharf D, Shadel W, et al. Analyzing milestones in smoking cessation: an illustration from a randomized trial of high dose nicotine patch. J Consult Clin Psychol. 2006; 74: 276-285.CrossRefPubMed
21.
Zurück zum Zitat Ritter FE, Baxter GD, Churchill EF. User-centered systems design: a brief history. Foundations for designing user-centered systems: Springer; 2014:33–54. Ritter FE, Baxter GD, Churchill EF. User-centered systems design: a brief history. Foundations for designing user-centered systems: Springer; 2014:33–54.
22.
Zurück zum Zitat Larman C, Basili VR. Iterative and incremental development: a brief history. Computer. 2003; 36(6): 47-56.CrossRef Larman C, Basili VR. Iterative and incremental development: a brief history. Computer. 2003; 36(6): 47-56.CrossRef
24.
Zurück zum Zitat Cohen D, Lindvall M, Costa P. An introduction to agile methods. Adv Comput. 2004; 62: 1-66.CrossRef Cohen D, Lindvall M, Costa P. An introduction to agile methods. Adv Comput. 2004; 62: 1-66.CrossRef
25.
Zurück zum Zitat Royce WW. Managing the development of large software systems. Paper presented at: proceedings of IEEE WESCON1970. Royce WW. Managing the development of large software systems. Paper presented at: proceedings of IEEE WESCON1970.
26.
Zurück zum Zitat Sommerville I. Software engineering. 10th ed. Boston: Addison-Wesley; 2015. Sommerville I. Software engineering. 10th ed. Boston: Addison-Wesley; 2015.
27.
Zurück zum Zitat Boehm B. Get ready for agile methods, with care. Computer. 2002; 35(1): 64-69.CrossRef Boehm B. Get ready for agile methods, with care. Computer. 2002; 35(1): 64-69.CrossRef
28.
Zurück zum Zitat Abrahamsson P, Warsta J, Siponen MT, Ronkainen J. New directions on agile methods: a comparative analysis. Paper presented at: Software Engineering, 2003. Proceedings. 25th International Conference on 2003. Abrahamsson P, Warsta J, Siponen MT, Ronkainen J. New directions on agile methods: a comparative analysis. Paper presented at: Software Engineering, 2003. Proceedings. 25th International Conference on 2003.
29.
Zurück zum Zitat Dybå T, Dingsøyr T. Empirical studies of agile software development: a systematic review. Inf Softw Technol. 2008; 50(9): 833-859.CrossRef Dybå T, Dingsøyr T. Empirical studies of agile software development: a systematic review. Inf Softw Technol. 2008; 50(9): 833-859.CrossRef
30.
Zurück zum Zitat Munassar NMA, Govardhan A. A comparison between five models of software engineering. IJCSI. 2010; 5: 95-101. Munassar NMA, Govardhan A. A comparison between five models of software engineering. IJCSI. 2010; 5: 95-101.
Metadaten
Titel
Simplified Novel Application (SNApp) framework: a guide to developing and implementing second-generation mobile applications for behavioral health research
verfasst von
Jennifer Fillo, PhD
B. Lynette Staplefoote-Boynton, MPH
Angel Martinez, MS
Lisa Sontag-Padilla, PhD
William G. Shadel, PhD
Steven C. Martino, PhD
Claude M. Setodji, PhD
Daniella Meeker, PhD
Deborah Scharf, PhD
Publikationsdatum
02.12.2015
Verlag
Springer US
Erschienen in
Translational Behavioral Medicine / Ausgabe 4/2016
Print ISSN: 1869-6716
Elektronische ISSN: 1613-9860
DOI
https://doi.org/10.1007/s13142-015-0363-7

Weitere Artikel der Ausgabe 4/2016

Translational Behavioral Medicine 4/2016 Zur Ausgabe