Skip to main content
Log in

Technology-Assisted Weight Loss Interventions in Primary Care: A Systematic Review

  • Original Research
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

ABSTRACT

BACKGROUND

The US Preventive Services Task Force recommends screening for and treating obesity. However, there are many barriers to successfully treating obesity in primary care (PC). Technology-assisted weight loss interventions offer novel ways of improving treatment, but trials are overwhelmingly conducted outside of PC and may not translate well into this setting. We conducted a systematic review of technology-assisted weight loss interventions specifically tested in PC settings.

METHODS

We searched the literature from January 2000 to March 2014. Inclusion criteria: (1) Randomized controlled trial; (2) trials that utilized the Internet, personal computer, and/or mobile device; and (3) occurred in an ambulatory PC setting. We applied the Cochrane Effective Practice and Organization of Care (EPOC) and Delphi criteria to assess bias and the Pragmatic-Explanatory Continuum Indicator Summary (PRECIS) criteria to assess pragmatism (whether trials occurred in the real world versus under ideal circumstances). Given heterogeneity, results were not pooled quantitatively.

RESULTS

Sixteen trials met inclusion criteria. Twelve (75 %) interventions achieved weight loss (range: 0.08 kg – 5.4 kg) compared to controls, while 5–45 % of patients lost at least 5 % of baseline weight. Trial duration and attrition ranged from 3–36 months and 6–80 %, respectively. Ten (63 %) studies reported results after at least 1 year of follow-up. Interventions used various forms of personnel, technology modalities, and behavior change elements; trials most frequently utilized medical doctors (MDs) (44 %), web-based applications (63 %), and self-monitoring (81 %), respectively. Interventions that included clinician-guiding software or feedback from personnel appeared to promote more weight loss than fully automated interventions. Only two (13 %) studies used publically available technologies. Many studies had fair pragmatism scores (mean: 2.8/4), despite occurring in primary care.

DISCUSSION

Compared to usual care, technology-assisted interventions in the PC setting help patients achieve weight loss, offering evidence-based options to PC providers. However, best practices remain undetermined. Despite occurring in PC, studies often fall short in utilizing pragmatic methodology and rarely provide publically available technology. Longitudinal, pragmatic, interdisciplinary, and open-source interventions are needed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4

Similar content being viewed by others

REFERENCES

  1. Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH. The disease burden associated with overweight and obesity. JAMA. 1999;282(16):1523–1529.

    Article  CAS  PubMed  Google Scholar 

  2. Oster G, Edelsberg J, O’Sullivan AK, Thompson D. The clinical and economic burden of obesity in a managed care setting. Am J Manage Care. 2000;6(6):681–689.

    CAS  Google Scholar 

  3. Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M. Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011;378(9793):815–25.

    Article  PubMed  Google Scholar 

  4. Williams BC, Philbrick JT, Becker DM, McDermott A, Davis RC, Buncher PC. A patient-based system for describing ambulatory medicine practices using diagnosis clusters. J Gen Intern Med. 1991;6(1):57–63.

    Article  CAS  PubMed  Google Scholar 

  5. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA. 2014;311(8):806–14.

    Article  CAS  PubMed  Google Scholar 

  6. Berghöfer A, Pischon T, Reinhold T, Apovian CM, Sharma AM, Willich SN. Obesity prevalence from a European perspective: a systematic review. BMC Public Health. 2008;8:200.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Kushner RF. Roadmaps for clinical practice: case studies in disease prevention and health promotion—assessment and management of adult obesity: a primer for physicians. Chicago: American Medical Association; 2003.

    Google Scholar 

  8. Bray GA, Wilson JF. In the clinic. Obesity. Ann Intern Med. 2008;149(7):ITC4–1–15.

  9. National Institute for Health and Clinical Excellence. Obesity: guidance on the prevention, identification, assessment and management of overweight and obesity in adults and childen. NICE clinical guideline no. 43. 2006. Available at http://www.nice.org.uk/CG43. Accessed 7/17/14.

  10. McTigue KM, Harris R, Hemphill B, et al. Screening and interventions for obesity in adults: summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med. 2003;139(11):933–49.

    Article  PubMed  Google Scholar 

  11. Levy RL, Finch EA, Crowell MD, Talley NJ, Jeffery RW. Behavioral intervention for the treatment of obesity: strategies and effectiveness data. Am J Gastroenterol. 2007;102(10):2314–21.

    Article  PubMed  Google Scholar 

  12. Schappert SM, Rechtsteiner EA. Ambulatory medical care utilization estimates for 2007. Vital Health Stat. 2011;13(169):1–38.

    Google Scholar 

  13. Wing RR, Lang W, Wadden TA, et al. Benefits of modest weight loss in improving cardiovascular risk factors in overweight and obese individuals with type 2 diabetes. Diabetes Care. 2011;34(7):1481–6.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  14. Pi-Sunyer FX. Short-term medical benefits and adverse effects of weight loss. Ann Intern Med. 1993;119:722–6.

    Article  CAS  PubMed  Google Scholar 

  15. Williamson DF, Thompson TJ, Thun M, Flanders D, Pamuk E, Byers T. Intentional weight loss and mortality among overweight individuals with diabetes. Diabetes Care. 2000;23(10):1499–504.

    Article  CAS  PubMed  Google Scholar 

  16. Harrington M, Gibson S, Cottrell RC. A review and meta-analysis of the effect of weight loss on all-cause mortality risk. Nutr Res Rev. 2009;22(1):93–108.

    Article  PubMed  Google Scholar 

  17. Knowler WC, Barrett-Connor E, Fowler SE, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403.

    Article  CAS  PubMed  Google Scholar 

  18. Goldstein DJ. Beneficial health effects of modest weight loss. Int J Obes Relat Metab Disord. 1992;16(6):397–415.

    CAS  PubMed  Google Scholar 

  19. Appel LJ, Champagne CM, Harsha DW, et al. Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA. 2003;289(16):2083–93.

    PubMed  Google Scholar 

  20. Wadden TA, West DS, Neiberg RH, et al. One-year weight losses in the Look AHEAD study: factors associated with success. Obesity (Silver Spring). 2009;17(4):713–22.

    Article  PubMed Central  Google Scholar 

  21. Sacks FM, Bray GA, Carey VJ, et al. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med. 2009;360(9):859–73.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  22. Cecchini M, Sassi F, Lauer JA, YY L, Guajardo-Barron V, Chisholm D. Tackling of unhealthy diets, physical inactivity, and obesity: health effects and cost-effectiveness. Lancet. 2010;376(9754):1775–84.

    Article  PubMed  Google Scholar 

  23. Sciamanna CN, Tate DF, Lang W, Wing RR. Who reports receiving advice to lose weight? Results from a multistate survey. Arch Intern Med. 2010;160(15):2334–9.

    Article  Google Scholar 

  24. McTigue KM, Conroy MB. Use of the internet in the treatment of obesity and prevention of type 2 diabetes in primary care. Proc Nutr Soc. 2013;72(1):98–108.

    Article  PubMed  Google Scholar 

  25. Kushner RF. Barriers to providing nutrition counseling by physicians: a survey of primary care practitioners. Prev Med (Baltimore). 1995;24(6):546–52.

    Article  CAS  Google Scholar 

  26. Forman-Hoffman V, Little A, Wahls T. Barriers to obesity management: a pilot study of primary care clinicians. BMC Fam Pract. 2006;7:35.

    Article  PubMed Central  PubMed  Google Scholar 

  27. Foster GD, Wadden TA, Makris AP, et al. Primary care physicians’ attitudes about obesity and its treatment. Obes Res. 2003;11(10):1168–77.

    Article  PubMed  Google Scholar 

  28. Yarnall KSH, Pollak KI, Østbye T, Krause KM, Michener JL. Primary care: is there enough time for prevention? Am J Public Health. 2003;93(4):635–41.

    Article  PubMed Central  PubMed  Google Scholar 

  29. Iacobucci G. Pay GPs to tackle obesity, doctors urge UK government. BMJ. 2014;348:g232.

    Article  PubMed  Google Scholar 

  30. Block JP, DeSalvo KB, Fisher WP. Are physicians equipped to address the obesity epidemic? Knowledge and attitudes of internal medicine residents. Prev Med. 2003;36(6):669–75.

    Article  PubMed  Google Scholar 

  31. Jay M, Gillespie C, Ark T, et al. Do internists, pediatricians, and psychiatrists feel competent in obesity care?: using a needs assessment to drive curriculum design. J Gen Intern Med. 2008;23(7):1066–70.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Stafford RS, Farhat JH, Misra B, Schoenfeld DA. National patterns of physician activities related to obesity management. Arch Fam Med. 2000;9(7):631–8.

    Article  CAS  PubMed  Google Scholar 

  33. Schauffler HH, Rodriguez T, Milstein A. Health education and patient satisfaction. J Fam Pract. 1996;42(1):62–8.

    CAS  PubMed  Google Scholar 

  34. Bleich SN, Pickett-Blakely O, Cooper LA. Physician practice patterns of obesity diagnosis and weight-related counseling. Patient Educ Couns. 2011;82(1):123–9.

    Article  PubMed Central  PubMed  Google Scholar 

  35. Levy BT, Williamson PS. Patient perceptions and weight loss of obese adults. J Fam Pract. 1988;27(3):285–90.

    CAS  PubMed  Google Scholar 

  36. Potter MB, Vu JD, Croughan-Minihane M. Weight management: what patients want from their primary care physicians. J Fam Pract. 2001;50(6):513–8.

    CAS  PubMed  Google Scholar 

  37. Budman SH, Portnoy D, Villapiano AJ. How to get technological innovation used in behavioral health care: Build it and they still might not come. Psychother Theory Res Prac Train. 2013;40:45–54.

    Article  Google Scholar 

  38. Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. JAMA. 2001;285(9):1172–7.

    Article  CAS  PubMed  Google Scholar 

  39. Harvey-Berino J, West D, Krukowski R, et al. Internet delivered behavioral obesity treatment. Prev Med. 2010;51(2):123–8.

    Article  PubMed Central  PubMed  Google Scholar 

  40. Wieland LS, Falzon L, Sciamanna CN, et al. Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. Cochrane Database Syst Rev. 2012;8:CD007675.

    PubMed Central  PubMed  Google Scholar 

  41. 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;11(4):306–21.

    Article  CAS  PubMed  Google Scholar 

  42. Arem H, Irwin M. A review of web-based weight loss interventions in adults. Obes Rev. 2011;12(5):e236–43.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  43. Tsai AG, Wadden TA. Systematic review: an evaluation of major commercial weight loss programs in the United States. Ann Intern Med. 2005;142(1):56–66.

    Article  PubMed  Google Scholar 

  44. Glasgow RE, Gaglio B, Bennett G, et al. Applying the PRECIS criteria to describe three effectiveness trials of weight loss in obese patients with comorbid conditions. Health Serv Res. 2012;47:1051–67.

    Article  PubMed Central  PubMed  Google Scholar 

  45. Thorpe KE, Zwarenstein M, Oxman AD, et al. A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers. J Clin Epidemiol. 2009;62(5):464–75.

    Article  PubMed  Google Scholar 

  46. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.

    Article  PubMed Central  PubMed  Google Scholar 

  47. http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42013003998. Accessed 7/17/14.

  48. Bravata D, Smith-Spangler C, Sundaram V, et al. Using pedometers to increase physical activity and improve health: a systematic review. JAMA. 2007;298(19):2296–2304.

    Article  CAS  PubMed  Google Scholar 

  49. Richardson CR, Newton TL, Abraham JJ, Sen A, Jimbo M, Swartz AM. A Meta-Analysis of Pedometer-Based Walking Interventions and Weight Loss. Ann Fam Med. 2008;6(1):69–77.

    Article  PubMed Central  PubMed  Google Scholar 

  50. Tsai AG, Wadden TA. Treatment of obesity in primary care practice in the United States: a systematic review. J Gen Intern Med. 2009;24(9):1073–9.

    Article  PubMed Central  PubMed  Google Scholar 

  51. Lefebvre C, Manheimer E, Glanville J. Chapter 6: searching for studies. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions. Version 5.0.2 [updated September 2009]. The Cochrane Collaboration, 2009.

  52. US Preventive Services Task Force. Screening for obesity in adults: recommendations and rationale. Ann Intern Med. 2003;139(11):930–2.

  53. Bensley RJ, Brusk JJ, Rivas J. Key principles in internet-based weight management systems. Am J Health Behav. 2010;34(2):206–13.

    Article  PubMed  Google Scholar 

  54. Verhagen AP, de Vet HC, de Bie RA, et al. The Delphi list: a criteria list for quality assessment of randomized clinical trials for conducting systematic reviews developed by Delphi consensus. J Clin Epidemiol. 1998;51(12):1235–41.

    Article  CAS  PubMed  Google Scholar 

  55. Cochrane Effective Practice and Organisation of Care Review Group. Risk of bias. 2009. Available at: http://epoc.cochrane.org/sites/epoc.cochrane.org/files/uploads/Suggested%20risk%20of%20bias%20criteria%20for%20EPOC%20reviews.pdf. Accessed 7/17/14.

  56. Verhagen AP, de Vet HC, de Bie RA, Boers M, van den Brandt PA. The art of quality assessment of RCTs included in systematic reviews. J Clin Epidemiol. 2001;54(7):651–4.

    Article  CAS  PubMed  Google Scholar 

  57. Koppenaal T, Linmans J, Knottnerus JA, Spigt M. Pragmatic vs explanatory: an adaptation of the PRECIS tool helps to judge the applicability of systematic reviews for daily practice. J Clin Epidemiol. 2011;64(10):1095–101.

    Article  PubMed  Google Scholar 

  58. Appel LJ, Clark MJ, Yeh HC, et al. Comparative effectiveness of weight-loss interventions in clinical practice. N Engl J Med. 2011;365:1959–68.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  59. 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;18(2):308–13.

    Article  Google Scholar 

  60. Bennett GG, Warner ET, Glasgow RE, et al. Obesity treatment for socioeconomically disadvantaged patients in primary care practice. Arch Intern Med. 2012;172(7):565–74.

    Article  PubMed Central  PubMed  Google Scholar 

  61. Christian JG, Bessesen DH, Byers TE, Christian KK, Goldstein MG, Bock BC. Clinic-based support to help overweight patients with type 2 diabetes increase physical activity and lose weight. Arch Intern Med. 2008;168(2):141–6.

    Article  PubMed  Google Scholar 

  62. Christian JG, Byers TE, Christian KK, et al. A computer support program that helps clinicians provide patients with metabolic syndrome tailored counseling to promote weight loss. J Am Diet Assoc. 2011;111(1):75–83.

    Article  PubMed  Google Scholar 

  63. Ma J, Yank V, Xiao L, et al. Translating the Diabetes Prevention Program lifestyle intervention for weight loss into primary care: a randomized trial. JAMA Intern Med. 2013;173(2):113–21.

    Article  PubMed  Google Scholar 

  64. McConnon A, Kirk SF, Cockroft JE, et al. The Internet for weight control in an obese sample: results of a randomised controlled trial. BMC Health Serv Res. 2007;7:206.

    Article  PubMed Central  PubMed  Google Scholar 

  65. McDoniel SO, Wolskee P, Shen J. Treating obesity with a novel hand-held device, computer software program, and Internet technology in primary care: the SMART motivational trial. Patient Educ Couns. 2010;79(2):185–91.

    Article  PubMed  Google Scholar 

  66. Mehring M, Haag M, Linde K, et al. Effects of a general practice guided web-based weight reduction program–results of a cluster-randomized controlled trial. BMC Fam Pract. 2013;14(1):76.

    Article  PubMed Central  PubMed  Google Scholar 

  67. Nanchahal K, Townsend J, Letley L, Haslam D, Wellings K, Haines A. Weight-management interventions in primary care: a pilot randomised controlled trial. Br J Gen Pract. 2009;59(562):e157–66.

    Article  PubMed Central  PubMed  Google Scholar 

  68. Nanchahal K, Power T, Holdsworth E, et al. A pragmatic randomised controlled trial in primary care of the Camden Weight Loss (CAMWEL) programme. BMJ Open. 2012;2(3).

  69. Rothert K, Strecher V, Doyle L. Web based Weight Management Programs in an Integrated Health Care Setting: A Randomized. Controlled Trial. Obesity. 2006;14(2):266–272.

    Article  PubMed  Google Scholar 

  70. Spring B, Duncan JM, Janke EA, et al. Integrating technology into standard weight loss treatment: a randomized controlled trial. JAMA Intern Med. 2013;173(2):105–11.

    Article  PubMed Central  PubMed  Google Scholar 

  71. ter Bogt NCW, Bemelmans WJE, Beltman FW, Broer J, Smit AJ, van der Meer K. Preventing Weight Gain by Lifestyle Intervention in a General Practice Setting. Arch Intern Med. 2011;171(4):306–313.

    PubMed  Google Scholar 

  72. Verheijden M, Bakx JC, Akkermans R, et al. Web-based targeted nutrition counselling and social support for patients at increased cardiovascular risk in general practice: randomized controlled trial. J Med Internet Res. 2004;6(4):e44.

    Article  PubMed Central  PubMed  Google Scholar 

  73. Wylie-Rosett J, Swencionis C, Ginsberg M, et al. Computerized Weight Loss Intervention Optimizes Staff Time. J Am Diet Assoc. 2001;101(10):1155–1162.

    Article  CAS  PubMed  Google Scholar 

  74. ter Bogt NCW, Bemelmans WJE, Beltman FW, Broer J, Smit AJ, van der Meer K. Preventing weight gain: one-year results of a randomized lifestyle intervention. Am J Prev Med. 2009;37(4):270–7.

    Article  PubMed  Google Scholar 

  75. Khaylis A, Yiaslas T, Bergstrom J, Gore-Felton C. A review of efficacious technology-based weight-loss interventions: five key components. Telemed J E Health. 2010;16(9):931–8.

    Article  PubMed Central  PubMed  Google Scholar 

  76. McCombie L, Lean MEJ, Haslam D. Effective UK weight management services for adults. Clin Obes. 2012;2(3–4):96–102.

    Article  Google Scholar 

  77. Bennett GG, Glasgow RE. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health. 2009;30:273–92.

    Article  PubMed  Google Scholar 

  78. Krukowski RA, Harvey-Berino J, Ashikaga T, Thomas CS, Micco N. Internet-based weight control: the relationship between web features and weight loss. Telemed J E Health. 2008;14(8):775–82.

    Article  PubMed Central  PubMed  Google Scholar 

  79. Xiao L, Yank V, Wilson SR, Lavori PW, Ma J. Two-year weight-loss maintenance in primary care-based Diabetes Prevention Program lifestyle interventions. Nutr Diabetes. 2013;3:e76.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  80. Yoong SL, Carey M, Sanson-Fisher R, Grady A. A systematic review of behavioural weight-loss interventions involving primary-care physicians in overweight and obese primary-care patients (1999–2011). Public Health Nutr. 2013;16(11):2083–99.

    Article  PubMed  Google Scholar 

  81. Kodama S, Saito K, Tanaka S, et al. Effect of Web-based lifestyle modification on weight control: a meta-analysis. Int J Obes. 2012;36(5):675–85.

    Article  CAS  Google Scholar 

  82. Reed VA, Schifferdecker KE, Rezaee ME, O’Connor S, Larson RJ. The effect of computers for weight loss: a systematic review and meta-analysis of randomized trials. J Gen Intern Med. 2012;27(1):99–108.

    Article  PubMed Central  PubMed  Google Scholar 

  83. Morgan PJ, Lubans DR, Collins CE, Warren JM, Callister R. 12-month outcomes and process evaluation of the SHED-IT RCT: an internet-based weight loss program targeting men. Obesity (Silver Spring). 2011;19(1):142–51.

    Article  Google Scholar 

  84. Morgan PJ, Callister R, Collins CE, et al. The SHED-IT community trial: a randomized controlled trial of internet- and paper-based weight loss programs tailored for overweight and obese men. Ann Behav Med. 2013;45(2):139–52.

    Article  PubMed  Google Scholar 

  85. Whittaker R, McRobbie H, Bullen C, Borland R, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev. 2012;11:CD006611.

    PubMed  Google Scholar 

  86. Shahab L, McEwen A. Online support for smoking cessation: a systematic review of the literature. Addiction. 2009;104(11):1792–804.

    Article  PubMed  Google Scholar 

  87. Vervloet M, van Dijk L, Santen-Reestman J, et al. SMS reminders improve adherence to oral medication in type 2 diabetes patients who are real time electronically monitored. Int J Med Inform. 2012;81(9):594–604.

    Article  CAS  PubMed  Google Scholar 

  88. Lester RT, Ritvo P, Mills EJ, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010;376(9755):1838–45.

    Article  PubMed  Google Scholar 

  89. Bacigalupo R, Cudd P, Littlewood C, Bissell P, Hawley MS, Buckley WH. Interventions employing mobile technology for overweight and obesity: an early systematic review of randomized controlled trials. Obes Rev. 2013;14(4):279–91.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  90. Chang T, Chopra V, Zhang C, Woolford SJ. The role of social media in online weight management: systematic review. J Med Internet Res. 2013;15(11):e262.

    Article  PubMed Central  PubMed  Google Scholar 

  91. Ritzwoller DP, Glasgow RE, Sukhanova AY, et al. Economic analyses of the Be Fit Be Well program: a weight loss program for community health centers. J Gen Intern Med. 2013;28(12):1581–8.

    Article  PubMed Central  PubMed  Google Scholar 

  92. Tsai AG, Wadden TA, Volger S, et al. Cost-effectiveness of a primary care intervention to treat obesity. Int J Obes. 2013;37(S1):S31–7.

    Article  Google Scholar 

  93. Loges WE, Jung J-Y. Exploring the Digital Divide: Internet Connectedness and Age. Commun Res. 2001;28(4):536–562.

    Article  Google Scholar 

Download references

Acknowledgements

Contributors

We would like to thank Adina Kalet, MD, MPH for her feedback and editing of the manuscript.

Funders

Veteran Affairs Career Development Award

Prior presentations

Levine D, Savarimuthu S, Nicholson J, Jay M. Technology-assisted weight loss interventions in primary care: A systematic review. Poster Presentation, Society of General Internal Medicine; Denver, CO 2013.

Conflict of Interest

The authors declare that they do not have any conflicts of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David M. Levine MD, MA.

Additional information

Registration

PROPSERO CRD42013003998

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(DOCX 66 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Levine, D.M., Savarimuthu, S., Squires, A. et al. Technology-Assisted Weight Loss Interventions in Primary Care: A Systematic Review. J GEN INTERN MED 30, 107–117 (2015). https://doi.org/10.1007/s11606-014-2987-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-014-2987-6

KEY WORDS

Navigation