Telephone-based motivational interviewing versus usual care in primary care to increase physical activity: a randomized pilot study

Deborah Rohm Young, Miki K Nguyen, Ayae Yamamoto, Magdalena Pomichowski, Melissa Cornejo, Silvia Paz, Karen J Coleman, Robert E Sallis, Stephen P Fortmann, Deborah Rohm Young, Miki K Nguyen, Ayae Yamamoto, Magdalena Pomichowski, Melissa Cornejo, Silvia Paz, Karen J Coleman, Robert E Sallis, Stephen P Fortmann

Abstract

Background: Diabetes and prediabetes are chronic conditions that affect over 40% of the US adult population combined. Regular physical activity can benefit people with diabetes through improved glucose control and can reduce the conversion of prediabetes to diabetes. Studies are needed in settings where people with these conditions can be identified and provided the skills and support to increase physical activity. The primary care setting meets this need, but there are insufficient high-quality trials to recommend this approach be broadly implemented.

Methods: We conducted a randomized, 24-week pilot study in Southern California to assess the feasibility of using information technology systems available in primary care for identifying potential participants, test methods for obtaining physical activity clearance, conducting mail-based assessments, and delivering telephone-based motivational interviewing to increase physical activity. Eligibility criteria included age between 18 and 74 years, diabetes or prediabetes, and physically inactive based on a clinical assessment tool. At baseline and follow-up, physical activity was assessed by a 7-day accelerometry, cardiometabolic risk factors were collected from electronic medical records, and psychosocial factors were assessed from validated questionnaires administered through a mail survey. Participants were block randomized into intervention or usual care. Staff collecting outcome data were blinded to group assignment. Analysis of covariance was used to assess the difference at follow-up between the intervention and usual care, adjusting for baseline.

Results: A total of 67 participants were randomized. Follow-up mail assessments were completed by 53 participants. Of 224 potential intervention calls, 194 were completed (87%). Psychosocial measures significantly improved in four of the five factors for physical activity motivation relative to participants in the usual care arm. The more internally focused factors for exercise self-regulation and outcome expectancies scores were significantly greater for participants in intervention compared with usual care. Moderate to vigorous physical activity improved in intervention participants relative to usual care, but the difference was not statistically significant. No adverse events were noted.

Conclusions: The objectives of this pilot study were met. If a fully powered trial is successful, primary care settings with "behind-the-scenes" information technology support may be appropriate to increase physical activity among patients with prediabetes and diabetes.

Trial registration: Exercise Promotion in Primary Care (EPPC), NCT03429088, registered on February 5, 2018.

Keywords: Diabetes; Physical activity; Prediabetes; Primary care settings.

Conflict of interest statement

The study is registered at Clin.Trial.gov (NCT03429088), and ethical approval is confirmed (Kaiser Permanente Southern California Institutional Review Board, IRB # 10106).Not applicableThe authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Sample flow chart
Fig. 2
Fig. 2
Recruitment flow chart

References

    1. National diabetes statistics report, 2017 . Centers for Disease Control and Prevention. Atlanta: U.S. Department of Health and Human Services; 2017. Estimates of diabetes and its burden in the United States.
    1. Umpierre D, Ribeiro PA, Kramer CK, Leitao CB, Zucatti AT, Azevedo MJ, et al. Physical activity advice only or structured exercise training and association with HbA1c levels in type 2 diabetes: a systematic review and meta-analysis. JAMA. 2011;305:1790–1799. doi: 10.1001/jama.2011.576.
    1. Gregg EW, Chen H, Wagenknecht LE, Clark JM, Delahanty LM, Bantle J, et al. Association of an intensive lifestyle intervention with remission of type 2 diabetes. JAMA. 2012;308:2489–2496. doi: 10.1001/jama.2012.67929.
    1. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Diabetes prevention program research G: reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346:393–403. doi: 10.1056/NEJMoa012512.
    1. Metzger JS, Catellier DJ, Evenson KR, Treuth MS, Rosamond WD, Siega-Riz AM. Patterns of objectively measured physical activity in the United States. Med Sci Sports Exerc. 2008;40:630–638. doi: 10.1249/MSS.0b013e3181620ebc.
    1. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181–188. doi: 10.1249/mss.0b013e31815a51b3.
    1. 2008 Physical Activity Guidelines for Americans. . Accessed 30 June 2014.
    1. van Sluijs EM, van Poppel MN, Twisk JW, Chin APMJ, Calfas KJ, van Mechelen W. Effect of a tailored physical activity intervention delivered in general practice settings: results of a randomized controlled trial. Am J Public Health. 2005;95(10):1825–1831. doi: 10.2105/AJPH.2004.044537.
    1. Goldstein MG, Pinto BM, Marcus BH, Lynn H, Jette AM, Rakowski W, et al. Physician-based physical activity counseling for middle-aged and older adults: a randomized trial. Ann Behav Med. 1999;21:40–47. doi: 10.1007/BF02895032.
    1. Norris SL, Grothaus LC, Buchner DM, Pratt M. Effectiveness of physician-based assessment and counseling for exercise in a staff model HMO. Prev Med. 2000;30:513–523. doi: 10.1006/pmed.2000.0673.
    1. Grandes G, Sanchez A, Montoya I, Ortega Sanchez-Pinilla R, Torcal J. Two-year longitudinal analysis of a cluster randomized trial of physical activity promotion by general practitioners. PLoS One. 2011;6:e18363. doi: 10.1371/journal.pone.0018363.
    1. Lin JS, O’Connor E, Evans CV, Senger CA, Rowland MG, Groom HC. Behavioral counseling to promote a healthy lifestyle in persons with cardiovascular risk factors: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med. 2014;161:568–578. doi: 10.7326/M14-0130.
    1. Goode AD, Reeves MM, Eakin EG. Telephone-delivered interventions for physical activity and dietary behavior change: an updated systematic review. Am J Prev Med. 2012;42:81–88. doi: 10.1016/j.amepre.2011.08.025.
    1. Lin JS, O'Connor E, Whitlock EP, Beil TL. Behavioral counseling to promote physical activity and a healthful diet to prevent cardiovascular disease in adults: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med. 2010;153:736–750. doi: 10.7326/0003-4819-153-11-201012070-00007.
    1. Miller WR, Rose GS. Toward a theory of motivational interviewing. Am Psychol. 2009;64:527–537. doi: 10.1037/a0016830.
    1. Coleman KJ, Ngor E, Reynolds K, Quinn VP, Koebnick C, Young DR, et al. Initial validation of an exercise “vital sign” in electronic medical records. Med Sci Sports Exerc. 2012;44:2071–2076. doi: 10.1249/MSS.0b013e3182630ec1.
    1. Young DR, Coleman KJ, Ngor E, Reynolds K, Sidell M, Sallis RE. Associations between physical activity and cardiometabolic risk factors assessed in a Southern California health care system, 2010-2012. Prev Chronic Dis. 2014;11:E219. doi: 10.5888/pcd11.140196.
    1. Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30:777–781. doi: 10.1097/00005768-199805000-00021.
    1. Ware JE, Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30:473–483. doi: 10.1097/00005650-199206000-00002.
    1. Ware JE, Kosinski M, Keller SD. SF-36 physical and mental health summary scales: a user manual. Boston: Health Institute, New England Medical Center; 1994.
    1. Sallis JF, Pinski RB, Grossman RM, Patterson TL, Nader PR. The development of self-efficacy scales for health-related diet and exercise behaviors. Health Educ Res. 1988;3:283–292. doi: 10.1093/her/3.3.283.
    1. Frederick CM, Ryan RM. Differences in motivation for sport and exercise their relationships with participation and mental health. J Sport Behav. 1993;16:125–145.
    1. Silva MN, Markland D, Minderico CS, et al. A randomized controlled trial to evaluate self-determination theory for exercise adherence and weight control: rationale and intervention description. BMC Public Health. 2008;8:234.
    1. Resnick B, Zimmerman SI, Orwig D, Furstenberg AL, Magaziner J. Outcome expectations for exercise scale: utility and psychometrics. J Gerontol B Psychol Sci Soc Sci. 2000;55:S352–S356. doi: 10.1093/geronb/55.6.S352.
    1. Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Prev Med. 1987;16:825–836. doi: 10.1016/0091-7435(87)90022-3.
    1. Silva MN, Markland D, Carraca EV, Vieira PN, Coutinho SR, Minderico CS, et al. Exercise autonomous motivation predicts 3-yr weight loss in women. Med Sci Sports Exerc. 2011;43:728–737. doi: 10.1249/MSS.0b013e3181f3818f.
    1. Hardcastle S, Blake N, Hagger MS. The effectiveness of a motivational interviewing primary-care based intervention on physical activity and predictors of change in a disadvantaged community. J Behav Med. 2012;35:318–333. doi: 10.1007/s10865-012-9417-1.
    1. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55:68–78. doi: 10.1037/0003-066X.55.1.68.
    1. Deci EL, Ryan RM. Self-determination theory in health care and its relations to motivational interviewing: a few comments. Int J Behav Nutr Phys Act. 2012;9:24. doi: 10.1186/1479-5868-9-24.
    1. Britt E, Hudson SM, Blampied NM. Motivational interviewing in health settings: a review. Patient Educ Couns. 2004;53:147–155. doi: 10.1016/S0738-3991(03)00141-1.
    1. Tahan HA, Sminkey PV. Motivational interviewing: building rapport with clients to encourage desirable behavioral and lifestyle changes. Prof Case Manag. 2012;17:164–172. doi: 10.1097/NCM.0b013e318253f029.
    1. Patrick H, Williams GC. Self-determination theory: its application to health behavior and complementarity with motivational interviewing. Int J Behav Nutr Phys Act. 2012;9:18. doi: 10.1186/1479-5868-9-18.
    1. Ekkekakis P. Let them roam free? Physiological and psychological evidence for the potential of self-selected exercise intensity in public health. Sports Med. 2009;39:857–888. doi: 10.2165/11315210-000000000-00000.
    1. Fortier MS, Hogg W, O'Sullivan TL, Blanchard C, Sigal RJ, Reid RD, et al. Impact of integrating a physical activity counsellor into the primary health care team: physical activity and health outcomes of the Physical Activity Counselling randomized controlled trial. Appl Physiol Nutr Metab. 2011;36:503–514. doi: 10.1139/h11-040.
    1. Silva MN, Vieira PN, Coutinho SR, Minderico CS, Matos MG, Sardinha LB, et al. Using self-determination theory to promote physical activity and weight control: a randomized controlled trial in women. J Behav Med. 2010;33:110–122. doi: 10.1007/s10865-009-9239-y.
    1. AuYoung M, Linke SE, Pagoto S, Buman MP, Craft LL, Richardson CR, et al. Integrating physical activity in primary care practice. Am J Med. 2016;129(10):1022–1029. doi: 10.1016/j.amjmed.2016.02.008.
    1. James EL, Ewald BD, Johnson NA, Stacey FG, Brown WJ, Holliday EG, et al. Referral for expert physical activity counseling: a pragmatic RCT. Am J Prev Med. 2017;53:490–499. doi: 10.1016/j.amepre.2017.06.016.
    1. Eaton CB, Hartman SJ, Perzanowski E, Pan G, Roberts MB, Risica PM, et al. A randomized clinical trial of a tailored lifestyle intervention for obese, sedentary, primary care patients. Ann Fam Med. 2016;14:311–319. doi: 10.1370/afm.1952.

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