January 23, 2026
Personalised and precision mental health in eating disorders: why routine outcome measurement is key | Journal of Eating Disorders
  • Allen KL, Byrne SM, Lampard A, Watson H, Fursland A. Confirmatory factor analysis of the eating disorder examination-questionnaire (EDE-Q). Eat Behav. 2011;12:143–51.

    PubMed 

    Google Scholar 

  • Allen KL, Jewell T, Carnegie A, Baker S, Downs J, Griffiths J, Breen G. Towards a national eating disorders clinical research network (EDCRN): co-producing core measures and variables. Eating Disorder Research Society, Sitges, Spain; 2024. https://edrs.org/EDRS_ONLINE/mobile/show_presentation.php?abstractno=161

  • Austin A, De Silva U, Ilesanmi C, Likitabhorn T, Miller I, Fialho MDLS, Richmond TK. International consensus on patient-centred outcomes in eating disorders. Lancet Psychiatry. 2023;10(12):966–73.

    PubMed 

    Google Scholar 

  • Barkham M, De Jong K, Delgadillo J, Lutz W. Routine outcome monitoring (ROM) and feedback: research review and recommendations. Psychother Res. 2023;33(7):841–55.

    PubMed 

    Google Scholar 

  • Boswell JF, Kraus DR, Miller SD, Lambert MJ. Implementing routine outcome monitoring in clinical practice: benefits, challenges, and solutions. Psychother Res. 2015;25:6–19.

    PubMed 

    Google Scholar 

  • Bulik CM, Thornton LM, Parker R, Kennedy H, Baker JH, MacDermod C, Martin NG. The eating disorders genetics initiative (EDGI): study protocol. BMC Psychiatry. 2021;21:1–9.

    Google Scholar 

  • Burke NL, Schaefer LM, Hazzard VM, Rodgers RF. Where identities converge: the importance of intersectionality in eating disorders research. Int J Eat Disord. 2020;53:1605–9.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Bright TJ, Wong A, Dhurjati R, Bristow E, Bastian L, Coeytaux RR, Samsa G, Hasselblad V, Williams JW, Musty MD, Wing L, Kendrick AS, Sanders GD, Lobach D. Effect of clinical decision-support systems: a systematic review. Ann Intern Med. 2012;157(1):29–43. https://doi.org/10.7326/0003-4819-157-1-201207030-00450.

    PubMed 

    Google Scholar 

  • Bryant E, Broomfield C, Burrows J, McLean S, Marks P, Maloney D, Maguire S. Gaining consensus on clinical quality outcomes for eating disorders: framework for the development of an Australian national minimum dataset. BMJ Open. 2023;13(4):071150.

    Google Scholar 

  • Byrne SM, Fursland A, Allen KL, Watson H. The effectiveness of enhanced cognitive behavioural therapy for eating disorders: an open trial. Behav Res Ther. 2011;49:219–26.

    PubMed 

    Google Scholar 

  • Centre for Clinical Interventions (2022) Research strategy: improving the lives of people with mental health challenges through world-class applied research. https://www.cci.health.wa.gov.au/~/media/CCI/Research/research_strategy/cci_research_strategy.pdf

  • Chekroud AM, Hawrilenko M, Loho H, Bondar J, Gueorguieva R, Hasan A, Paulus M. Illusory generalizability of clinical prediction models. Science. 2024;383(6679):164–7.

    PubMed 

    Google Scholar 

  • Clayton-Erickson MC, Mellinger C, Park B, Dimidjian S. Stereotypes about who is affected by eating disorders disadvantage risk perception for black girls and women. Sex Roles. 2024;90(8):1075–98.

    Google Scholar 

  • Couturier J, Isserlin L, Norris M, Spettigue W, Brouwers M, Kimber M, Pilon D. Canadian practice guidelines for the treatment of children and adolescents with eating disorders. J Eat Disord. 2020;8:1–80.

    Google Scholar 

  • Cromarty P, Drummond A, Francis T, Watson J, Battersby M. NewAccess for depression and anxiety: adapting the UK improving access to psychological therapies program across Australia. Australas Psychiatry. 2016;24:489–92.

    PubMed 

    Google Scholar 

  • Crone C, Fochtmann LJ, Attia E, Boland R, Escobar J, Fornari V, Medicus J. The American psychiatric association practice guideline for the treatment of patients with eating disorders. Am J Psychiatry. 2023;180(2):167–71.

    PubMed 

    Google Scholar 

  • Dalton B, Austin A, Ching BC, Potterton R, McClelland J, Bartholdy S, et al. ‘My dad was like “it’s your brain, what are you doing?”’: Participant experiences of repetitive transcranial magnetic stimulation treatment in severe enduring anorexia nervosa. Eur Eat Disord Rev. 2022;30(3):237–49.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Deisenhofer AK, Barkham M, Beierl ET, Schwartz B, Aafjes-van Doorn K, Beevers CG, Cohen ZD. Implementing precision methods in personalizing psychological therapies: barriers and possible ways forward. Behav Res Ther. 2024;172:104443.

    PubMed 

    Google Scholar 

  • Devoe D, Han A, Anderson A, Katzman DK, Patten SB, Soumbasis A, Dimitropoulos G. The impact of the COVID-19 pandemic on eating disorders: a systematic review. Int J Eat Disord. 2023;56(1):5–25.

    Google Scholar 

  • Downs J, Baker S, Carnegie A. Rapid response: meeting the need for a data-driven and co-produced response to pandemic disruption. BMJ. 2024;374:n1787.

    Google Scholar 

  • Egbert AH, Hunt RA, Williams KL, Burke NL, Mathis KJ. Reporting racial and ethnic diversity in eating disorder research over the past 20 years. Int J Eat Disord. 2022;55(4):455–62.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Fairburn CG, Beglin SJ. Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord. 1994;16(4):363–70.

    PubMed 

    Google Scholar 

  • Fairburn CG, Cooper Z, Doll HA, O’Connor ME, Bohn K, Hawker DM, Palmer RL. Transdiagnostic cognitive-behavioral therapy for patients with eating disorders: a two-site trial with 60-week follow-up. Am J Psychiatry. 2009;166:311–9.

    PubMed 

    Google Scholar 

  • Flores LE, Muir R, Weeks I, Murray HB, Silver JK. Analysis of age, race, ethnicity, and sex of participants in clinical trials focused on eating disorders. JAMA Netw Open. 2022;5(2):e220051–e220051.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Gangannagaripalli J, Albagli A, Myers SN, Whittaker S, Joseph A, Clarke A, Valderas JM (2022) A standard set of value-based patient-centered outcomes and measures of overall health in adults. Patient-Patient-Centered Outcomes Res 1–11

  • Glasgow RE, Kwan BM, Matlock DD. Realizing the full potential of precision health: the need to include patient-reported health behavior, mental health, social determinants, and patient preferences data. J Clin Transl Sci. 2018;2(3):183–5.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Hanegraaf L, Anderson A, Neill E, Giddens E, Boon E, Bryant E, Verdejo‐Garcia A (2024) Treatment targets and strategies for eating disorders recovery: a delphi consensus with lived experience, carers, researchers, and clinicians. Int J Eat Disord

  • Jewell T, Smith I, Downs J, Carnegie A, Kakar S, Meldrum L, Allen KL (2025) Agreeing a set of biopsychosocial variables for collection across the UK eating disorders clinical research network (EDCRN). Preprint available at: https://doi.org/10.31234/osf.io/t5n3c_v1

  • Kan C, Treasure J. Recent research and personalized treatment of anorexia nervosa. Psychiatric Clin North Am. 2019;42(1):11–19.

    Google Scholar 

  • Knapstad M, Nordgreen T, Smith OR. Prompt mental health care, the Norwegian version of IAPT: clinical outcomes and predictors of change in a multicenter cohort study. BMC Psychiatry. 2018;18:260.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Kobori O, Nakazato M, Yoshinaga N, Shiraishi T, Takaoka K, Nakagawa A, Shimizu E. Transporting cognitive behavioral therapy (CBT) and the improving access to psychological therapies (IAPT) project to Japan: preliminary observations and service evaluation in Chiba. J Mental Health Train Educ Pract. 2014;9:155–66.

    Google Scholar 

  • Krause KR, Chung S, Adewuya AO, Albano AM, Babins-Wagner R, Birkinshaw L, et al. International consensus on a standard set of outcome measures for child and youth anxiety, depression, obsessive-compulsive disorder, and post-traumatic stress disorder. Lancet Psychiatry. 2021;8(1):76–86.

    PubMed 

    Google Scholar 

  • Kuehne C, Phillips MD, Moody S, Bryson C, Campbell IC, Conde P, Zocek L. Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol. BMC Psychiatry. 2024;24(1):409.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Levinson CA, Cusack C, Hunt RA, Fitterman-Harris HF, Ralph-Nearman C, Hooper S. The future of the eating disorder field: inclusive, aware of systems, and personalized. Behav Res Ther. 2024;183:104648.

    PubMed 

    Google Scholar 

  • Lutz W, Vehlen A, Schwartz B. Data-informed psychological therapy, measurement-based care, and precision mental health. J Consult Clin Psychol. 2024;92(10):671.

    PubMed 

    Google Scholar 

  • Moggia D, Lutz W, Brakemeier EL, Bickman L. Treatment personalization and precision mental health care: where are we and where do we want to go? Adm Polic Mental Health Mental Health Serv Res. 2024;51(5):611–6.

    Google Scholar 

  • Mountford VA, Allen KL, Tchanturia K, Eilender C, Schmidt U. Implementing evidence-based individual psychotherapies for adults with eating disorders in a real world clinical setting. Int J Eat Disord. 2021;54:1238–49.

    PubMed 

    Google Scholar 

  • Murray SB, Nagata JM, Griffiths S, Calzo JP, Brown TA, Mitchison D, Mond JM. The enigma of male eating disorders: a critical review and synthesis. Clin Psychol Rev. 2017;57:1–11.

    PubMed 

    Google Scholar 

  • Naeem F, Pikard J, Rao S, Ayub M, Munshi T. Is it possible to provide low-intensity cognitive behavioral treatment (CBT Lite) in Canada without additional costs to the health system? First-year evaluation of a pilot CBT lite program. Int J Ment Health. 2017;46:253–68.

    Google Scholar 

  • Nagata JM, Stuart E, Hur JO, Panchal S, Low P, Chaphekar AV, Ganson KT, Lavender JM. Eating disorders in sexual and gender minority adolescents. Curr Psychiatry Rep. 2024;26:340–50.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Norris ML. Exploring biologically oriented precision mental health initiatives for the care of patients with eating disorders: a narrative review. Eur Eat Disord Rev. 2024. https://doi.org/10.1002/erv.3114.

    PubMed 

    Google Scholar 

  • National Institute for Health and Care Excellent (NICE). (2017). Eating disorders: recognition and treatment

  • Ralph-Nearman C, Sandoval-Araujo LE, Karem A, Cusack CE, Glatt S, Hooper MA, Levinson CA. Using machine learning with passive wearable sensors to pilot the detection of eating disorder behaviors in everyday life. Psychol Med. 2024;54(6):1084–90.

    PubMed 

    Google Scholar 

  • Richards KL, Hyam L, Allen KL, Glennon D, Di Clemente G, Semple A, Schmidt U. National roll-out of early intervention for eating disorders: process and clinical outcomes from first episode rapid early intervention for eating disorders. Early Interv Psychiatry. 2023;17:202–11.

    PubMed 

    Google Scholar 

  • Sahiner B, Chen W, Samala RK, Petrick N. Data drift in medical machine learning: implications and potential remedies. Br J Radiol. 2023;96(1150):20220878.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Schmidt U, Claudino A, Fernández-Aranda F, Giel KE, Griffiths J, Hay PJ, Kim YR, Marshall J, Micali N, Monteleone AM, Nakazato M, Steinglass J, Wade TD, Wonderlich S, Zipfel S, Allen KL, Sharpe H. The current clinical approach to feeding and eating disorders aimed to increase personalization of management. World Psychiatry. 2025;24:4–31.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Solmi M, Monaco F, Højlund M, Monteleone AM, Trott M, Firth J, Carfagno M, Eaton M, De Toffol M, Vergine M, Meneguzzo P, Collantoni E, Gallicchio D, Stubbs B, Girardi A, Busetto P, Favaro A, Carvalho AF, Steinhausen HC, Correll CU. Outcomes in people with eating disorders: a transdiagnostic and disorder-specific systematic review, meta-analysis and multivariable meta-regression analysis. World Psychiatry. 2024;23:124–38.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Unsworth G, Cowie H, Green A. Therapists’ and clients’ perceptions of routine outcome measurement in the NHS: a qualitative study. Couns Psychother Res. 2012;12:71–80.

    Google Scholar 

  • Wakefield S, Kellett S, Simmonds-Buckley M, Stockton D, Bradbury A, Delgadillo J. Improving access to psychological therapies (IAPT) in the United Kingdom: a systematic review and meta-analysis of 10-years of practice-based evidence. Br J Clin Psychol. 2021;60:1–37.

    PubMed 

    Google Scholar 

  • Wolpert M, Rutter H. Using flawed, uncertain, proximate and sparse (FUPS) data in the context of complexity: learning from the case of child mental health. BMC Med. 2018;16:82.

    PubMed 
    PubMed Central 

    Google Scholar 

  • Zipfel S, Lutz W, Schneider S, Schramm E, Delgadillo J, Giel KE. The future of enhanced psychotherapy: towards precision psychotherapy. Psychother Psychosom. 2024;93(4):230–6.

    PubMed 

    Google Scholar 

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