Adherence to self-monitoring via interactive voice response technology in an eHealth intervention targeting weight gain prevention among Black women: randomized controlled trial

Dori M Steinberg, Erica L Levine, Ilana Lane, Sandy Askew, Perry B Foley, Elaine Puleo, Gary G Bennett, Dori M Steinberg, Erica L Levine, Ilana Lane, Sandy Askew, Perry B Foley, Elaine Puleo, Gary G Bennett

Abstract

Background: eHealth interventions are effective for weight control and have the potential for broad reach. Little is known about the use of interactive voice response (IVR) technology for self-monitoring in weight control interventions, particularly among populations disproportionately affected by obesity.

Objective: This analysis sought to examine patterns and predictors of IVR self-monitoring adherence and the association between adherence and weight change among low-income black women enrolled in a weight gain prevention intervention.

Methods: The Shape Program was a randomized controlled trial comparing a 12-month eHealth behavioral weight gain prevention intervention to usual care among overweight and obese black women in the primary care setting. Intervention participants (n=91) used IVR technology to self-monitor behavior change goals (eg, no sugary drinks, 10,000 steps per day) via weekly IVR calls. Weight data were collected in clinic at baseline, 6, and 12 months. Self-monitoring data was stored in a study database and adherence was operationalized as the percent of weeks with a successful IVR call.

Results: Over 12 months, the average IVR completion rate was 71.6% (SD 28.1) and 52% (47/91) had an IVR completion rate ≥80%. At 12 months, IVR call completion was significantly correlated with weight loss (r =-.22; P=.04) and participants with an IVR completion rate ≥80% had significantly greater weight loss compared to those with an IVR completion rate <80% (-1.97 kg, SE 0.67 vs 0.48 kg, SE 0.69; P=.01). Similar outcomes were found for change in body mass index (BMI; mean difference -0.94 kg, 95% CI -1.64 to -0.24; P=.009). Older, more educated participants were more likely to achieve high IVR call completion. Participants reported positive attitudes toward IVR self-monitoring.

Conclusions: Adherence to IVR self-monitoring was high among socioeconomically disadvantaged black women enrolled in a weight gain prevention intervention. Higher adherence to IVR self-monitoring was also associated with greater weight change. IVR is an effective and useful tool to promote self-monitoring and has the potential for widespread use and long-term sustainability.

Trial registration: Clinicaltrials.gov NCT00938535; http://www.clinicaltrials.gov/ct2/show/NCT00938535.

Keywords: eHealth; interactive voice response; obesity; self-monitoring.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Participant enrollment and retention (CONSORT).
Figure 2
Figure 2
IVR call logic.
Figure 3
Figure 3
Proportion of participants who completed IVR calls by study week.

References

    1. Bennett GG, Glasgow RE. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health. 2009;30:273–92. doi: 10.1146/annurev.publhealth.031308.100235.
    1. Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev. 2010 Apr;11(4):306–21. doi: 10.1111/j.1467-789X.2009.00646.x.
    1. Ritterband LM, Tate DF. The science of internet interventions. Ann Behav Med. 2009 Aug;38(1):1–3. doi: 10.1007/s12160-009-9132-5.
    1. Smith Aaron. Pew Internet and the American Life Project. Washington, DC: Pew Research Center; 2010. Sep 17, [2014-04-11]. Technology trends among people of color
    1. Fox S, Duggan M. Internet and American Life Project. Washington, DC: Pew Research Center; 2012. Nov 08, [2014-04-11]. Mobile Health 2012
    1. Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA. 2012 Feb 1;307(5):491–7. doi: 10.1001/jama.2012.39.
    1. Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011 Jan;111(1):92–102. doi: 10.1016/j.jada.2010.10.008.
    1. Sarwer DB, von Sydow Green A, Vetter ML, Wadden TA. Behavior therapy for obesity: where are we now? Curr Opin Endocrinol Diabetes Obes. 2009 Oct;16(5):347–52. doi: 10.1097/MED.0b013e32832f5a79.
    1. Burke LE, Styn MA, Sereika SM, Conroy MB, Ye L, Glanz K, Sevick MA, Ewing LJ. Using mHealth technology to enhance self-monitoring for weight loss: a randomized trial. Am J Prev Med. 2012 Jul;43(1):20–6. doi: 10.1016/j.amepre.2012.03.016.
    1. Coons MJ, Roehrig M, Spring B. The potential of virtual reality technologies to improve adherence to weight loss behaviors. J Diabetes Sci Technol. 2011 Mar;5(2):340–4.
    1. Glanz K, Murphy S, Moylan J, Evensen D, Curb JD. Improving dietary self-monitoring and adherence with hand-held computers: a pilot study. Am J Health Promot. 2006;20(3):165–70.
    1. Burke LE, Swigart V, Warziski Turk M, Derro N, Ewing LJ. Experiences of self-monitoring: successes and struggles during treatment for weight loss. Qual Health Res. 2009 Jun;19(6):815–28. doi: 10.1177/1049732309335395.
    1. Siegel K, Mesagno FP, Karus DG, Christ G. Reducing the prevalence of unmet needs for concrete services of patients with cancer. Evaluation of a computerized telephone outreach system. Cancer. 1992 Apr 1;69(7):1873–83.
    1. Christ G, Siegel K. Monitoring quality-of-life needs of cancer patients. Cancer. 1990 Feb 1;65(3 Suppl):760–5.
    1. Hettema JE, Hosseinbor S, Ingersoll KS. Feasibility and reliability of interactive voice response assessment of HIV medication adherence: research and clinical implications. HIV Clin Trials. 2012;13(5):271–7. doi: 10.1310/hct1305-271.
    1. Baer L, Jacobs DG, Cukor P, O'Laughlen J, Coyle JT, Magruder KM. Automated telephone screening survey for depression. JAMA. 1995 Jun 28;273(24):1943–4.
    1. Piette JD. Interactive voice response systems in the diagnosis and management of chronic disease. Am J Manag Care. 2000 Jul;6(7):817–27.
    1. Abu-Hasaballah K, James A, Aseltine RH. Lessons and pitfalls of interactive voice response in medical research. Contemp Clin Trials. 2007 Sep;28(5):593–602. doi: 10.1016/j.cct.2007.02.007.
    1. Al-Tayyib AA, Rogers SM, Gribble JN, Villarroel M, Turner CF. Effect of low medical literacy on health survey measurements. Am J Public Health. 2002 Sep;92(9):1478–80.
    1. Burke LE, Sereika S, Choo J, Warziski M, Music E, Styn M, Novak J, Stone A. Ancillary study to the PREFER trial: a descriptive study of participants' patterns of self-monitoring--rationale, design and preliminary experiences. Contemp Clin Trials. 2006 Feb;27(1):23–33. doi: 10.1016/j.cct.2005.10.006.
    1. Burke LE, Conroy MB, Sereika SM, Elci OU, Styn MA, Acharya SD, Sevick MA, Ewing LJ, Glanz K. The effect of electronic self-monitoring on weight loss and dietary intake: a randomized behavioral weight loss trial. Obesity (Silver Spring) 2011 Feb;19(2):338–44. doi: 10.1038/oby.2010.208.
    1. Estabrooks PA, Smith-Ray RL. Piloting a behavioral intervention delivered through interactive voice response telephone messages to promote weight loss in a pre-diabetic population. Patient Educ Couns. 2008 Jul;72(1):34–41. doi: 10.1016/j.pec.2008.01.007.
    1. Bennett GG, Warner ET, Glasgow RE, Askew S, Goldman J, Ritzwoller DP, Emmons KM, Rosner BA, Colditz GA, Be Fit‚ Be Well Study Investigators Obesity treatment for socioeconomically disadvantaged patients in primary care practice. Arch Intern Med. 2012 Apr 9;172(7):565–74. doi: 10.1001/archinternmed.2012.1.
    1. Foley P, Levine E, Askew S, Puleo E, Whiteley J, Batch B, Heil D, Dix D, Lett V, Lanpher M, Miller J, Emmons K, Bennett G. Weight gain prevention among black women in the rural community health center setting: the Shape Program. BMC Public Health. 2012;12:305. doi: 10.1186/1471-2458-12-305.
    1. Bennett GG, Foley P, Levine E, Whiteley J, Askew S, Steinberg DM, Batch B, Greaney ML, Miranda H, Wroth TH, Holder MG, Emmons KM, Puleo E. Behavioral treatment for weight gain prevention among black women in primary care practice: a randomized clinical trial. JAMA Intern Med. 2013 Oct 28;173(19):1770–7. doi: 10.1001/jamainternmed.2013.9263.
    1. Bennett GG, Herring SJ, Puleo E, Stein EK, Emmons KM, Gillman MW. Web-based weight loss in primary care: a randomized controlled trial. Obesity (Silver Spring) 2010 Feb;18(2):308–13. doi: 10.1038/oby.2009.242.
    1. Greaney ML, Quintiliani LM, Warner ET, King DK, Emmons KM, Colditz GA, Glasgow RE, Bennett GG. Weight management among patients at community health centers: The “Be Fit, Be Well” Study. Obesity and Weight Management. 2009 Oct;5(5):222–228. doi: 10.1089/obe.2009.0507.
    1. Elder JP, Ayala GX, Harris S. Theories and intervention approaches to health-behavior change in primary care. Am J Prev Med. 1999 Nov;17(4):275–84.
    1. Cox TL, Krukowski R, Love SJ, Eddings K, DiCarlo M, Chang JY, Prewitt TE, West DS. Stress management-augmented behavioral weight loss intervention for African American women: a pilot, randomized controlled trial. Health Educ Behav. 2013 Feb;40(1):78–87. doi: 10.1177/1090198112439411.
    1. Jeffery RW, Bjornson-Benson WM, Rosenthal BS, Lindquist RA, Kurth CL, Johnson SL. Correlates of weight loss and its maintenance over two years of follow-up among middle-aged men. Prev Med. 1984 Mar;13(2):155–68.
    1. Linde JA, Rothman AJ, Baldwin AS, Jeffery RW. The impact of self-efficacy on behavior change and weight change among overweight participants in a weight loss trial. Health Psychol. 2006 May;25(3):282–91. doi: 10.1037/0278-6133.25.3.282.
    1. Kroenke K, Strine TW, Spitzer RL, Williams JB, Berry JT, Mokdad AH. The PHQ-8 as a measure of current depression in the general population. J Affect Disord. 2009 Apr;114(1-3):163–73. doi: 10.1016/j.jad.2008.06.026.
    1. Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705–14.
    1. Friedman GD, Cutter GR, Donahue RP, Hughes GH, Hulley SB, Jacobs DR, Liu K, Savage PJ. CARDIA: study design, recruitment, and some characteristics of the examined subjects. J Clin Epidemiol. 1988;41(11):1105–16.
    1. Marcus BH, Selby VC, Niaura RS, Rossi JS. Self-efficacy and the stages of exercise behavior change. Res Q Exerc Sport. 1992 Mar;63(1):60–6.
    1. Centers for Disease Control and Prevention . National Health and Nutrition Examination Survey Protocol. Hyattsville, MD: National Center for Health Statistics; 2007. [2014-04-11]. .
    1. Burke L, Elci O, Wang J, Ewing L, Conroy M, Acharya S, Sereika S. Self-monitoring in behavioral weight loss treatment: SMART trial short-term results. Obesity. 2009 Nov;17:S273.
    1. Tate DF, Jackvony EH, Wing RR. A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an Internet weight loss program. Arch Intern Med. 2006;166(15):1620–5. doi: 10.1001/archinte.166.15.1620.
    1. Patrick K, Raab F, Adams MA, Dillon L, Zabinski M, Rock CL, Griswold WG, Norman GJ. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res. 2009;11(1):e1. doi: 10.2196/jmir.1100.
    1. Shapiro JR, Koro T, Doran N, Thompson S, Sallis JF, Calfas K, Patrick K. Text4Diet: a randomized controlled study using text messaging for weight loss behaviors. Prev Med. 2012 Nov;55(5):412–7. doi: 10.1016/j.ypmed.2012.08.011.
    1. Kumanyika SK, Gary TL, Lancaster KJ, Samuel-Hodge CD, Banks-Wallace J, Beech BM, Hughes-Halbert C, Karanja N, Odoms-Young AM, Prewitt TE, Whitt-Glover MC. Achieving healthy weight in African-American communities: research perspectives and priorities. Obes Res. 2005 Dec;13(12):2037–47. doi: 10.1038/oby.2005.251.
    1. Osei-Assibey G, Kyrou I, Adi Y, Kumar S, Matyka K. Dietary and lifestyle interventions for weight management in adults from minority ethnic/non-White groups: a systematic review. Obes Rev. 2010 Nov;11(11):769–76. doi: 10.1111/j.1467-789X.2009.00695.x.
    1. Smith A. Internet and American Life Project. Washington, DC: Pew Research Center; 2010. Jul 07, [2014-04-11]. Mobile Access 2010: Pew Internet and the American Life Project
    1. 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(4):e126. doi: 10.2196/jmir.1923.

Source: PubMed

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