Mobile Ecological Momentary Assessment and Intervention and Health Behavior Change Among Adults in Rakai, Uganda: Pilot Randomized Controlled Trial

Laura K Beres, Ismail Mbabali, Aggrey Anok, Charles Katabalwa, Jeremiah Mulamba, Alvin G Thomas, Eva Bugos, Gertrude Nakigozi, Mary K Grabowski, Larry W Chang, Laura K Beres, Ismail Mbabali, Aggrey Anok, Charles Katabalwa, Jeremiah Mulamba, Alvin G Thomas, Eva Bugos, Gertrude Nakigozi, Mary K Grabowski, Larry W Chang

Abstract

Background: An extraordinary increase in mobile phone ownership has revolutionized the opportunities to use mobile health approaches in lower- and middle-income countries (LMICs). Ecological momentary assessment and intervention (EMAI) uses mobile technology to gather data and deliver timely, personalized behavior change interventions in an individual's natural setting. To our knowledge, there have been no previous trials of EMAI in sub-Saharan Africa.

Objective: To advance the evidence base for mobile health (mHealth) interventions in LMICs, we conduct a pilot randomized trial to assess the feasibility of EMAI and establish estimates of the potential effect of EMAI on a range of health-related behaviors in Rakai, Uganda.

Methods: This prospective, parallel-group, randomized pilot trial compared health behaviors between adult participants submitting ecological momentary assessment (EMA) data and receiving behaviorally responsive interventional health messaging (EMAI) with those submitting EMA data alone. Using a fully automated mobile phone app, participants submitted daily reports on 5 different health behaviors (fruit consumption, vegetable consumption, alcohol intake, cigarette smoking, and condomless sex with a non-long-term partner) during a 30-day period before randomization (P1). Participants were then block randomized to the control arm, continuing EMA reporting through exit, or the intervention arm, EMA reporting and behavioral health messaging receipt. Participants exited after 90 days of follow-up, divided into study periods 2 (P2: randomization + 29 days) and 3 (P3: 30 days postrandomization to exit). We used descriptive statistics to assess the feasibility of EMAI through the completeness of data and differences in reported behaviors between periods and study arms.

Results: The study included 48 participants (24 per arm; 23/48, 48% women; median age 31 years). EMA data collection was feasible, with 85.5% (3777/4418) of the combined days reporting behavioral data. There was a decrease in the mean proportion of days when alcohol was consumed in both arms over time (control: P1, 9.6% of days to P2, 4.3% of days; intervention: P1, 7.2% of days to P3, 2.4% of days). Decreases in sex with a non-long-term partner without a condom were also reported in both arms (P1 to P3 control: 1.9% of days to 1% of days; intervention: 6.6% of days to 1.3% of days). An increase in vegetable consumption was found in the intervention (vegetable: 65.6% of days to 76.6% of days) but not in the control arm. Between arms, there was a significant difference in the change in reported vegetable consumption between P1 and P3 (control: 8% decrease in the mean proportion of days vegetables consumed; intervention: 11.1% increase; P=.01).

Conclusions: Preliminary estimates suggest that EMAI may be a promising strategy for promoting behavior change across a range of behaviors. Larger trials examining the effectiveness of EMAI in LMICs are warranted.

Trial registration: ClinicalTrials.gov NCT04375423; https://www.clinicaltrials.gov/ct2/show/NCT04375423.

Keywords: Africa; Uganda; digital health; ecological momentary assessment; ecological momentary intervention; mHealth; mobile phone; randomized trial; smartphone.

Conflict of interest statement

Conflicts of Interest: emocha Mobile Health Inc developed the application used in this study. LWC is entitled to royalties on certain nonresearch revenues generated by this company and owns company equity. Specific to this study, LWC received no royalties or compensation from emocha Mobile Health Inc. This arrangement has been reviewed and approved by Johns Hopkins University in accordance with its conflict of interest policies. None of the other study team members had known competing interests.

©Laura K Beres, Ismail Mbabali, Aggrey Anok, Charles Katabalwa, Jeremiah Mulamba, Alvin G Thomas, Eva Bugos, Gertrude Nakigozi, Mary K Grabowski, Larry W Chang. Originally published in JMIR Formative Research (https://formative.jmir.org), 20.07.2021.

Figures

Figure 1
Figure 1
Study design.
Figure 2
Figure 2
Participant flow diagram. EMA: ecological momentary assessment; EMAI: ecological momentary assessment and intervention.
Figure 3
Figure 3
Mean proportion of days on which behavior occurred by participant according to study arm and period (n=24 per arm).

References

    1. Yonazi E, Kelly T, Halewood N, Blackman C. The transformational use of information and communication technologies in Africa. World Bank, Washington, DC, and African Development Bank, Tunis. 2012:A. doi: 10.1596/26791.
    1. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008 Apr;4(1):1–32. doi: 10.1146/annurev.clinpsy.3.022806.091415.
    1. Bell IH, Lim MH, Rossell SL, Thomas N. Ecological momentary assessment and intervention in the treatment of psychotic disorders: a systematic review. Psychiatr Serv. 2017 Nov 01;68(11):1172–81. doi: 10.1176/appi.ps.201600523.
    1. Rowe C, Hern J, DeMartini A, Jennings D, Sommers M, Walker J, Santos G. Concordance of text message ecological momentary assessment and retrospective survey data among substance-using men who have sex with men: a secondary analysis of a randomized controlled trial. JMIR Mhealth Uhealth. 2016 May 26;4(2):e44. doi: 10.2196/mhealth.5368.
    1. Wood W, Quinn JM, Kashy DA. Habits in everyday life: Thought, emotion, and action. J Pers Soc Psychol. 2002;83(6):1281–97. doi: 10.1037/0022-3514.83.6.1281.
    1. Andrews BR. Habit. Am J Psychol. 1903 Apr;14(2):121. doi: 10.2307/1412711.
    1. Hanssen E, Balvert S, Oorschot M, Borkelmans K, van Os J, Delespaul P, Fett A. An ecological momentary intervention incorporating personalised feedback to improve symptoms and social functioning in schizophrenia spectrum disorders. Psychiatry Res. 2020 Feb;284:112695. doi: 10.1016/j.psychres.2019.112695.
    1. Smith JM, Whisenhunt BL, Buchanan EM, Hudson DL. Evaluating the effectiveness of ecological momentary assessment and intervention targeting body checking behaviors. Eat Disord. 2019 Jan 21;27(6):521–37. doi: 10.1080/10640266.2018.1560850.
    1. Brookie KL, Mainvil LA, Carr AC, Vissers MC, Conner TS. The development and effectiveness of an ecological momentary intervention to increase daily fruit and vegetable consumption in low-consuming young adults. Appetite. 2017 Jan 01;108:32–41. doi: 10.1016/j.appet.2016.09.015.
    1. Hébert ET, Stevens EM, Frank SG, Kendzor DE, Wetter DW, Zvolensky MJ, Buckner JD, Businelle MS. An ecological momentary intervention for smoking cessation: the associations of just-in-time, tailored messages with lapse risk factors. Addict Behav. 2018 Mar;78:30–5. doi: 10.1016/j.addbeh.2017.10.026.
    1. Shrier LA, Spalding A. "Just Take a Moment and Breathe and Think": Young women with depression talk about the development of an ecological momentary intervention to reduce their sexual risk. J Pediatr Adolesc Gynecol. 2017 Feb;30(1):116–22. doi: 10.1016/j.jpag.2016.08.009.
    1. Riordan BC, Moradi S, Carey KB, Conner TS, Jang K, Reid KE, Scarf D. Effectiveness of a combined web-based and ecological momentary intervention for incoming first-year university students: protocol for a 3-arm randomized controlled trial. JMIR Res Protoc. 2018 May 15;7(5):e10164. doi: 10.2196/10164.
    1. Boh B, Lemmens LH, Jansen A, Nederkoorn C, Kerkhofs V, Spanakis G, Weiss G, Roefs A. An Ecological Momentary Intervention for weight loss and healthy eating via smartphone and Internet: study protocol for a randomised controlled trial. Trials. 2016 Mar 22;17(1):154. doi: 10.1186/s13063-016-1280-x.
    1. Bell IH, Fielding-Smith SF, Hayward M, Rossell SL, Lim MH, Farhall J, Thomas N. Smartphone-based ecological momentary assessment and intervention in a coping-focused intervention for hearing voices (SAVVy): study protocol for a pilot randomised controlled trial. Trials. 2018 May 02;19(1):262. doi: 10.1186/s13063-018-2607-6.
    1. Shrier LA, Burke PJ, Kells M, Scherer EA, Sarda V, Jonestrask C, Xuan Z, Harris SK. Pilot randomized trial of MOMENT, a motivational counseling-plus-ecological momentary intervention to reduce marijuana use in youth. Mhealth. 2018 Jul;4:29. doi: 10.21037/mhealth.2018.07.04. doi: 10.21037/mhealth.2018.07.04.
    1. Turner CM, Trujillo D, Le V, Wilson EC, Arayasirikul S. Event-level association between daily alcohol use and same-day nonadherence to antiretroviral therapy among young men who have sex with men and trans women living with HIV: intensive longitudinal study. JMIR Mhealth Uhealth. 2020 Oct 15;8(10):e22733. doi: 10.2196/22733.
    1. Kruse C, Betancourt J, Ortiz S, Valdes Luna SM, Bamrah IK, Segovia N. Barriers to the use of mobile health in improving health outcomes in developing countries: systematic review. J Med Internet Res. 2019 Oct 09;21(10):e13263. doi: 10.2196/13263.
    1. Burke LE, Shiffman S, Music E, Styn MA, Kriska A, Smailagic A, Siewiorek D, Ewing LJ, Chasens E, French B, Mancino J, Mendez D, Strollo P, Rathbun SL. Ecological momentary assessment in behavioral research: addressing technological and human participant challenges. J Med Internet Res. 2017 Mar 15;19(3):e77. doi: 10.2196/jmir.7138.
    1. Cohn A, Hunter-Reel D, Hagman BT, Mitchell J. Promoting behavior change from alcohol use through mobile technology: the future of ecological momentary assessment. Alcohol Clin Exp Res. 2011 Dec;35(12):2209–15. doi: 10.1111/j.1530-0277.2011.01571.x.
    1. Ledderer L, Kjær M, Madsen EK, Busch J, Fage-Butler A. Nudging in public health lifestyle interventions: a systematic literature review and metasynthesis. Health Educ Behav. 2020 Oct 09;47(5):749–64. doi: 10.1177/1090198120931788.
    1. Grabowski MK, Serwadda DM, Gray RH, Nakigozi G, Kigozi G, Kagaayi J, Ssekubugu R, Nalugoda F, Lessler J, Lutalo T, Galiwango RM, Makumbi F, Kong X, Kabatesi D, Alamo ST, Wiersma S, Sewankambo NK, Tobian AA, Laeyendecker O, Quinn TC, Reynolds SJ, Wawer MJ, Chang LW. HIV prevention efforts and incidence of HIV in Uganda. N Engl J Med. 2017 Nov 30;377(22):2154–66. doi: 10.1056/nejmoa1702150.
    1. Chang LW, Grabowski MK, Ssekubugu R, Nalugoda F, Kigozi G, Nantume B, Lessler J, Moore SM, Quinn TC, Reynolds SJ, Gray RH, Serwadda D, Wawer MJ. Heterogeneity of the HIV epidemic in agrarian, trading, and fishing communities in Rakai, Uganda: an observational epidemiological study. Lancet HIV. 2016 Aug;3(8):388–96. doi: 10.1016/s2352-3018(16)30034-0.
    1. Moitra E, Gaudiano BA, Davis CH, Ben-Zeev D. Feasibility and acceptability of post-hospitalization ecological momentary assessment in patients with psychotic-spectrum disorders. Compr Psychiatry. 2017 Apr;74:204–13. doi: 10.1016/j.comppsych.2017.01.018.
    1. Mackesy-Amiti ME, Boodram B. Feasibility of ecological momentary assessment to study mood and risk behavior among young people who inject drugs. Drug Alcohol Depend. 2018 Jun 01;187:227–35. doi: 10.1016/j.drugalcdep.2018.03.016.
    1. Wen CK, Schneider S, Stone AA, Spruijt-Metz D. Compliance with mobile ecological momentary assessment protocols in children and adolescents: a systematic review and meta-analysis. J Med Internet Res. 2017 Apr 26;19(4):e132. doi: 10.2196/jmir.6641.
    1. Ono M, Schneider S, Junghaenel DU, Stone AA. What affects the completion of ecological momentary assessments in chronic pain research? An individual patient data meta-analysis. J Med Internet Res. 2019 Feb 05;21(2):e11398. doi: 10.2196/11398.
    1. Schueller SM, Aguilera A, Mohr DC. Ecological momentary interventions for depression and anxiety. Depress Anxiety. 2017 Jun 11;34(6):540–5. doi: 10.1002/da.22649.
    1. Compernolle S, DeSmet A, Poppe L, Crombez G, De Bourdeaudhuij I, Cardon G, van der Ploeg HP, Van Dyck D. Effectiveness of interventions using self-monitoring to reduce sedentary behavior in adults: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2019 Aug 13;16(1):63. doi: 10.1186/s12966-019-0824-3.
    1. Nelson RO, Hayes SC. Theoretical explanations for reactivity in self-monitoring. Behav Modif. 2016 Jul 26;5(1):3–14. doi: 10.1177/014544558151001.
    1. Fonner VA, Kennedy CE, O'Reilly KR, Sweat MD. Systematic assessment of condom use measurement in evaluation of HIV prevention interventions: need for standardization of measures. AIDS Behav. 2014 Dec 7;18(12):2374–86. doi: 10.1007/s10461-013-0655-1.

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