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

被引:80
|
作者
Levine, David M. [1 ]
Savarimuthu, Stella [2 ]
Squires, Allison [1 ,3 ]
Nicholson, Joseph [1 ]
Jay, Melanie [1 ,4 ]
机构
[1] NYU, Sch Med, Dept Med, New York, NY 10010 USA
[2] Hofstra Sch Med, New York, NY USA
[3] NYU, Coll Nursing, New York, NY 10010 USA
[4] VA New York Harbor, New York, NY USA
关键词
weight loss; technology; primary care; obesity; review; LIFE-STYLE INTERVENTION; INCREASE PHYSICAL-ACTIVITY; QUALITY ASSESSMENT; LOSS MAINTENANCE; ECONOMIC BURDEN; UNITED-STATES; LOSS PROGRAMS; OBESITY; INTERNET; OVERWEIGHT;
D O I
10.1007/s11606-014-2987-6
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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. 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. 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. 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.
引用
收藏
页码:107 / 117
页数:11
相关论文
共 50 条
  • [41] Unbiased Validation of Technology-Assisted Review for eDiscovery
    Cormack, Gordon V.
    Grossman, Maura R.
    Harbison, Andrew
    O'Halloran, Tom
    McManus, Bronagh
    [J]. PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2024, 2024, : 2677 - 2681
  • [42] ASSESSING THE PSYCHOLOGICAL PROCESSES IMPACTED BY A TECHNOLOGY-ASSISTED WEIGHT LOSS MAINTENANCE PROGRAM (NULEVEL TRIAL)
    Joyal-Desmarais, Keven
    Rothman, Alexander J.
    Evans, Elizabeth H.
    Araujo-Soares, Vera
    Sniehotta, Falko F.
    [J]. ANNALS OF BEHAVIORAL MEDICINE, 2022, 56 (05) : 526 - 527
  • [43] TECHNOLOGY-ASSISTED INTERVENTIONS FOR BINGE EATING AND OVERCONSUMPTION OF SNACK FOODS
    Forman, Evan M.
    Butryn, Meghan L.
    Martin, Lindsay M.
    Manasse, Stephanie M.
    Juarascio, Adrienne S.
    Goldstein, Stephanie P.
    Shaw, Jena S.
    Schumacher, Leah M.
    [J]. ANNALS OF BEHAVIORAL MEDICINE, 2014, 47 : S159 - S159
  • [44] Heuristic Stopping Rules For Technology-Assisted Review
    Yang, Eugene
    Lewis, David D.
    Frieder, Ophir
    [J]. PROCEEDINGS OF THE 21ST ACM SYMPOSIUM ON DOCUMENT ENGINEERING (DOCENG '21), 2021,
  • [45] Engineering Quality and Reliability in Technology-Assisted Review
    Cormack, Gordon V.
    Grossman, Maura R.
    [J]. SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2016, : 75 - 84
  • [46] Technology-Assisted Review for Spreadsheets and Noisy Text
    O'Halloran, Tom
    McManus, Bronagh
    Harbison, Andrew
    Grossman, Maura R.
    Cormack, Gordon V.
    [J]. PROCEEDINGS OF THE 2023 ACM SYMPOSIUM ON DOCUMENT ENGINEERING, DOCENG 2023, 2023,
  • [47] Technology-assisted rehabilitation interventions following pediatric brain injury
    Wade, Shari L.
    Narad, Megan E.
    Shultz, Emily L.
    Kurowski, Brad G.
    Miley, Aimee E.
    Aguilar, Jessica M.
    Adlam, Anna-Lynne R.
    [J]. JOURNAL OF NEUROSURGICAL SCIENCES, 2018, 62 (02) : 187 - 202
  • [48] Weight loss and dietary interventions for hidradenitis suppurativa: A systematic review
    Sivanand, Arunima
    Gulliver, Wayne P.
    Josan, Chitmandeep
    Alhusayen, Raed
    Fleming, Patrick
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2019, 81 (04) : AB148 - AB148
  • [49] A Review of Technology-Based Interventions to Maintain Weight Loss
    Lee, Sohye
    Lindquist, Ruth
    [J]. TELEMEDICINE AND E-HEALTH, 2015, 21 (03) : 217 - 232
  • [50] Weight loss interventions for overweight and obese adolescents: a systematic review
    Boff, Raquel de Melo
    Araujo Liboni, Ronald Patrick
    de Azevedo Batista, Igor Pacheco
    de Souza, Lauren Heineck
    Oliveira, Margareth da Silva
    [J]. EATING AND WEIGHT DISORDERS-STUDIES ON ANOREXIA BULIMIA AND OBESITY, 2017, 22 (02) : 211 - 229