Scientific Papers

Utilizing technology for diet and exercise change in complex chronic conditions across diverse environments (U-DECIDE): feasibility randomised controlled trial | BMC Health Services Research


  • Scholze J, Alegria E, Ferri C, Langham S, Stevens W, Jeffries D, Uhl-Hochgraeber K. Epidemiological and economic burden of metabolic syndrome and its consequences in patients with hypertension in Germany, Spain and Italy; a prevalence-based model. BMC Public Health. 2010;10:1–12.

    Article 

    Google Scholar
     

  • Yamaoka K, Tango T. Effects of lifestyle modification on metabolic syndrome: a systematic review and meta-analysis. BMC Med. 2012;10:138.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hickman IJ, Coran D, Wallen MP, Kelly J, Barnett A, Gallegos D, Jarrett M, McCoy SM, Campbell KL, Macdonald GA. Back to life’-using knowledge exchange processes to enhance lifestyle interventions for liver transplant recipients: a qualitative study. Nutr Diet. 2019;76(4):399–406.

    Article 
    PubMed 

    Google Scholar
     

  • Howden EJ, Coombes JS, Strand H, Douglas B, Campbell KL, Isbel NM. Exercise training in CKD: efficacy, adherence, and safety. Am J Kidney Dis. 2015;65(4):583–91.

    Article 
    PubMed 

    Google Scholar
     

  • Mayr HL, Savill H, Law L, Campbell KL, Hill J, Palmer M, Hickman IJ, Kelly JT. We work in silos: exploring clinicians’ perspectives on the dietary management of coronary heart disease and type 2 diabetes in an Australian public hospital and community health service. Nutr Diet. 2023;80(3):307–19.

    Article 
    PubMed 

    Google Scholar
     

  • Kelly JT, Campbell KL, Hoffmann T, Reidlinger DP. Patient experiences of dietary management in chronic kidney disease: a focus group study. J Ren Nutr. 2018;28(6):393–402.

    Article 
    PubMed 

    Google Scholar
     

  • Bonner A, Gillespie K, Campbell KL, Corones-Watkins K, Hayes B, Harvie B, Kelly JT, Havas K. Evaluating the prevalence and opportunity for technology use in chronic kidney disease patients: a cross-sectional study. BMC Nephrol. 2018;19(1):28.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Cotugno JD, Ferguson M, Harden H, Colquist S, Stack AA, Zimmerman JI, Russell AW, Ball LE, Hickman IJ. “I wish they could be in my shoes”: patients’ insights into tertiary health care for type 2 diabetes mellitus. Patient Prefer Adherence. 2015;9:1647–55.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Barnett A, Campbell KL, Mayr HL, Keating SE, Macdonald GA, Hickman IJ. Liver transplant recipients’ experiences and perspectives of a telehealth-delivered lifestyle programme: a qualitative study. J Telemed Telecare. 2021;27(9):590–8.

    Article 
    PubMed 

    Google Scholar
     

  • Hickman IJ, Hannigan AK, Johnston HE, Elvin-Walsh L, Mayr HL, Staudacher HM, Barnett A, Stoney R, Salisbury C, Jarrett M, Reeves MM, Coombes JS, Campbell KL, Keating SE, Macdonald GA. Telehealth-delivered, cardioprotective diet and exercise program for liver transplant recipients: a randomized feasibility study. Transplant Direct. 2021;7(3):e667.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Barnett A, Wright C, Stone C, Ho NY, Adhyaru P, Kostjasyn S, Hickman IJ, Campbell KL, Mayr HL, Kelly JT. Effectiveness of dietary interventions delivered by digital health to adults with chronic conditions: systematic review and meta-analysis. J Hum Nutr Diet. 2023;36(3):632–56.

    Article 
    PubMed 

    Google Scholar
     

  • Kelly JT, Law L, De Guzman KR, Hickman IJ, Mayr HL, Campbell KL, Snoswell CL, Erku D. Cost-effectiveness of telehealth-delivered nutrition interventions: a systematic review of randomized controlled trials. Nutr Rev. 2023;81(12):1599–611.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Law L, Kelly JT, Savill H, Wallen MP, Hickman IJ, Erku D, Mayr HL. Cost-effectiveness of telehealth-delivered diet and exercise interventions: a systematic review. J Telemed Telecare. 2022;30(3):420–37.

    Article 
    PubMed 

    Google Scholar
     

  • Taylor ML, Thomas EE, Vitangcol K, Marx W, Campbell KL, Caffery LJ, Haydon HM, Smith AC, Kelly JT. Digital health experiences reported in chronic disease management: an umbrella review of qualitative studies. J Telemed Telecare. 2022;28(10):705–17.

    Article 
    PubMed 

    Google Scholar
     

  • Clark NM, Janz NK, Dodge JA, Mosca L, Lin X, Long Q, Little RJ, Wheeler JR, Keteyian S, Liang J. The effect of patient choice of intervention on health outcomes. Contemp Clin Trials. 2008;29(5):679–86.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Delevry D, Le QA. Effect of treatment preference in randomized controlled trials: systematic review of the literature and meta-analysis. Patient. 2019;12(6):593–609.

    Article 
    PubMed 

    Google Scholar
     

  • Brown RCC, Jegatheesan DK, Conley MM, Mayr HL, Kelly JT, Webb L, Barnett A, Staudacher HM, Burton NW, Isbel NM, Macdonald GA, Campbell KL, Coombes JS, Keating SE, Hickman IJ. Utilizing Technology for Diet and Exercise Change in Complex Chronic Conditions Across Diverse Environments (U-DECIDE): protocol for a randomized controlled trial. JMIR Res Protoc. 2022;11(7):e37556.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, Lancaster GA, Group Pc. CONSORT statement: extension to randomised pilot and feasibility trials. BMJ. 2010;2016(355):i5239.


    Google Scholar
     

  • Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, Altman DG, Barbour V, Macdonald H, Johnston M, Lamb SE, Dixon-Woods M, McCulloch P, Wyatt JC, Chan AW, Michie S. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;348:g1687.

    Article 
    PubMed 

    Google Scholar
     

  • Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr., International Diabetes Federation Task Force on Epidemiology and Prevention, Hational Heart, Lung, and Blood Institute, American Heart Association, World Heart Federation, International Atherosclerosis Society, International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wiley JF, Carrington MJ. A metabolic syndrome severity score: a tool to quantify cardio-metabolic risk factors. Prev Med. 2016;88:189–95.

    Article 
    PubMed 

    Google Scholar
     

  • Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.

    Article 
    PubMed 

    Google Scholar
     

  • Coombes J, Skinner T. ESSA’s student manual for health, exercise and sport assessment-ebook. Chatswood: Elsevier Health Sciences; 2014.


    Google Scholar
     

  • Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sorensen F, Andersson G, Jorgensen K. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon. 1987;18(3):233–7.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20(10):1727–36.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Webster K, Cella D, Yost K. The Functional Assessment of Chronic Illness Therapy (FACIT) measurement system: properties, applications, and interpretation. Health Qual Life Outcomes. 2003;1:79.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Queensland Health. Queensland public hospital services purchasing and funding models. https://www.health.qld.gov.au/system-governance/health-system/managing/funding-model. Accessed 02/05/2024.

  • Billingham SA, Whitehead AL, Julious SA. An audit of sample sizes for pilot and feasibility trials being undertaken in the United Kingdom registered in the United Kingdom clinical research network database. BMC Med Res Methodol. 2013;13:104.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Flynn A, Preston E, Dennis S, Canning CG, Allen NE. Home-based exercise monitored with telehealth is feasible and acceptable compared to centre-based exercise in Parkinson’s disease: a randomised pilot study. Clin Rehabil. 2021;35(5):728–39.

    Article 
    PubMed 

    Google Scholar
     

  • Kelly JT, Warner MM, Conley M, Reidlinger DP, Hoffmann T, Craig J, Tong A, Reeves M, Johnson DW, Palmer S, Campbell KL. Feasibility and acceptability of telehealth coaching to promote healthy eating in chronic kidney disease: a mixed-methods process evaluation. BMJ Open. 2019;9(1):e024551.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Vacha-Haase T, Thompson B. How to estimate and interpret various effect sizes. J Couns Psychol. 2004;51(4):473.

    Article 

    Google Scholar
     

  • Jhamb M, Liang K, Yabes J, Steel JL, Dew MA, Shah N, Unruh M. Prevalence and correlates of fatigue in chronic kidney disease and end-stage renal disease: are sleep disorders a key to understanding fatigue? Am J Nephrol. 2013;38(6):489–95.

    Article 
    PubMed 

    Google Scholar
     

  • Yilmaz Y, Toraman AE, Alp C, Dogan Z, Keklikkiran C, Stepanova M, Younossi Z. Impairment of patient-reported outcomes among patients with non-alcoholic fatty liver disease: a registry-based study. Aliment Pharmacol Ther. 2023;57(2):215–23.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yang F, Lau T, Lee E, Vathsala A, Chia KS, Luo N. Comparison of the preference-based EQ-5D-5L and SF-6D in patients with end-stage renal disease (ESRD). Eur J Health Econ. 2015;16(9):1019–26.

    Article 
    PubMed 

    Google Scholar
     

  • Cook R, Haydon HM, Thomas EE, Ward EC, Ross JA, Webb C, Harris M, Hartley C, Burns CL, Vivanti AP, Carswell P, Caffery LJ. Digital divide or digital exclusion? Do allied health professionals’ assumptions drive use of telehealth? J Telemed Telecare. 2023;0(0):1357633X231189846. https://journals.sagepub.com/doi/10.1177/1357633X231189846.

  • Rhodes RE, Cox A, Sayar R. What predicts the physical activity intention-behavior gap? A Systematic Review Ann Behav Med. 2022;56(1):1–20.

    Article 
    PubMed 

    Google Scholar
     

  • McDermott MS, Oliver M, Simnadis T, Beck EJ, Coltman T, Iverson D, Caputi P, Sharma R. The theory of planned behaviour and dietary patterns: a systematic review and meta-analysis. Prev Med. 2015;81:150–6.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Jakob R, Harperink S, Rudolf AM, Fleisch E, Haug S, Mair JL, Salamanca-Sanabria A, Kowatsch T. Factors influencing adherence to mhealth apps for prevention or management of noncommunicable diseases: systematic review. J Med Internet Res. 2022;24(5):e35371.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Brown RC, Coombes JS, Jungbluth Rodriguez K, Hickman IJ, Keating SE. Effectiveness of exercise via telehealth for chronic disease: a systematic review and meta-analysis of exercise interventions delivered via videoconferencing. Br J Sports Med. 2022;56:1042–52.

    Article 

    Google Scholar
     

  • Clark DO, Keith N, Weiner M, Xu H. Outcomes of an RCT of videoconference vs. in-person or in-clinic nutrition and exercise in midlife adults with obesity. Obes Sci Pract. 2019;5(2):111–9.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fischer M, Weimann T, Oberander N, Schupitza L, Hosel J, Weimann A. Remote treatment successfully delivers a usual care weight loss and lifestyle intervention in adults with morbid obesity. Ann Nutr Metab. 2022;78(6):328–35.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Filbay S, Hinman R, Lawford B, Fry R, Bennell K. Telehealth by allied health practitioners during the COVID-19 pandemic: an Australian wide survey of clinicians and clients. Melbourne: The University of Melbourne; 2021.


    Google Scholar
     

  • Lampickiene I, Davoody N. Healthcare professionals’ experience of performing digital care visits-A scoping review. Life (Basel). 2022;12(6):913.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kelly JT, Jegatheesan DK, Dawson J, Barnett A, Khor BH, Chang AR, Carrero JJ, Campbell KL. Are digital health technologies and models of nutrition care the future of chronic kidney disease management? J Ren Nutr. 2023;33(6S):S80–7.

    Article 
    PubMed 

    Google Scholar
     

  • Chan C, Yamabayashi C, Syed N, Kirkham A, Camp PG. Exercise telemonitoring and telerehabilitation compared with traditional cardiac and pulmonary rehabilitation: a systematic review and meta-analysis. Physiother Can. 2016;68(3):242–51.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zangger G, Bricca A, Liaghat B, Juhl CB, Mortensen SR, Andersen RM, Damsted C, Hamborg TG, Ried-Larsen M, Tang LH, Thygesen LC, Skou ST. Benefits and harms of digital health interventions promoting physical activity in people with chronic conditions: systematic review and meta-analysis. J Med Internet Res. 2023;25:e46439.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Keating SE, Barnett A, Croci I, Hannigan A, Elvin-Walsh L, Coombes JS, Campbell KL, Macdonald GA, Hickman IJ. Agreement and reliability of clinician-in-clinic versus patient-at-home clinical and functional assessments: implications for telehealth services. Arch Rehabil Res Clin Transl. 2020;2(3):100066.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Barnes KA, Szewczyk Z, Kelly JT, Campbell KL, Ball LE. How cost-effective is nutrition care delivered in primary healthcare settings? A systematic review of trial-based economic evaluations. Nutr Rev. 2022;80(6):1480–96.

    Article 
    PubMed 

    Google Scholar
     

  • Vetrovsky T, Borowiec A, Jurik R, Wahlich C, Smigielski W, Steffl M, Tufano JJ, Drygas W, Stastny P, Harris T, Malek L. Do physical activity interventions combining self-monitoring with other components provide an additional benefit compared with self-monitoring alone? A systematic review and meta-analysis. Br J Sports Med. 2022;56(23):1366–74.

    Article 
    PubMed 

    Google Scholar
     

  • Chia GLC, Anderson A, McLean LA. Behavior change techniques incorporated in fitness trackers: content analysis. JMIR Mhealth Uhealth. 2019;7(7):e12768.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Barnett A, Catapan SC, Jegatheesan DK, Conley MM, Keating SE, Mayr HL, Webb L, Brown RCC, Coombes JS, Macdonald GA, Isbel NM, Burton NW, Campbell KL, Hickman IJ, Kelly JT. Patients’ acceptability of self-selected digital health services to support diet and exercise among people with complex chronic conditions: mixed methods study. Digital Health. 2024;10:1–14.

    Article 

    Google Scholar
     



  • Source link