Long-term cost-utility analysis of family therapy vs. treatment as usual for young people seen after self-harm.

Adolescents Cost-effectiveness Hospitalisation NHS digital QALY Self-harm

Journal

Cost effectiveness and resource allocation : C/E
ISSN: 1478-7547
Titre abrégé: Cost Eff Resour Alloc
Pays: England
ID NLM: 101170476

Informations de publication

Date de publication:
29 May 2024
Historique:
received: 23 05 2023
accepted: 16 04 2024
medline: 30 5 2024
pubmed: 30 5 2024
entrez: 29 5 2024
Statut: epublish

Résumé

The joint evidence of the cost and the effectiveness of family-based therapies is modest. To study the cost-effectiveness of family therapy (FT) versus treatment-as-usual (TAU) for young people seen after self-harm combining data from an 18-month trial and hospital records up to 60-month from randomisation. We estimate the cost-effectiveness of FT compared to TAU over 5 years using a quasi-Markov state model based on self-harm hospitalisations where probabilities of belonging in a state are directly estimated from hospital data. The primary outcome is quality-adjusted life years (QALY). Cost perspective is NHS and PSS and includes treatment costs, health care use, and hospital attendances whether it is for self-harm or not. Incremental cost-effectiveness ratios are calculated and deterministic and probabilistic sensitivity analyses are conducted. Both trial arms show a significant decrease in hospitalisations over the 60-month follow-up. In the base case scenario, FT participants incur higher costs (mean +£1,693) and negative incremental QALYs (-0.01) than TAU patients. The associated ICER at 5 years is dominated and the incremental health benefit at the £30,000 per QALY threshold is -0.067. Probabilistic Sensitivity Analysis finds the probability that FT is cost-effective is around 3 - 2% up to a maximum willingness to pay of £50,000 per QALY. This suggest that the extension of the data to 60 months show no difference in effectiveness between treatments. Whilst extended trial follow-up from routinely collected statistics is useful to improve the modelling of longer-term cost-effectiveness, FT is not cost-effective relative to TAU and dominated in a cost-utility analysis.

Sections du résumé

BACKGROUND BACKGROUND
The joint evidence of the cost and the effectiveness of family-based therapies is modest.
OBJECTIVE OBJECTIVE
To study the cost-effectiveness of family therapy (FT) versus treatment-as-usual (TAU) for young people seen after self-harm combining data from an 18-month trial and hospital records up to 60-month from randomisation.
METHODS METHODS
We estimate the cost-effectiveness of FT compared to TAU over 5 years using a quasi-Markov state model based on self-harm hospitalisations where probabilities of belonging in a state are directly estimated from hospital data. The primary outcome is quality-adjusted life years (QALY). Cost perspective is NHS and PSS and includes treatment costs, health care use, and hospital attendances whether it is for self-harm or not. Incremental cost-effectiveness ratios are calculated and deterministic and probabilistic sensitivity analyses are conducted.
RESULTS RESULTS
Both trial arms show a significant decrease in hospitalisations over the 60-month follow-up. In the base case scenario, FT participants incur higher costs (mean +£1,693) and negative incremental QALYs (-0.01) than TAU patients. The associated ICER at 5 years is dominated and the incremental health benefit at the £30,000 per QALY threshold is -0.067. Probabilistic Sensitivity Analysis finds the probability that FT is cost-effective is around 3 - 2% up to a maximum willingness to pay of £50,000 per QALY. This suggest that the extension of the data to 60 months show no difference in effectiveness between treatments.
CONCLUSION CONCLUSIONS
Whilst extended trial follow-up from routinely collected statistics is useful to improve the modelling of longer-term cost-effectiveness, FT is not cost-effective relative to TAU and dominated in a cost-utility analysis.

Identifiants

pubmed: 38811931
doi: 10.1186/s12962-024-00546-z
pii: 10.1186/s12962-024-00546-z
doi:

Types de publication

Journal Article

Langues

eng

Pagination

49

Subventions

Organisme : Health Technology Assessment Programme
ID : 07/33/01
Organisme : Health Technology Assessment Programme
ID : 07/33/01
Organisme : Health Technology Assessment Programme
ID : 07/33/01
Organisme : Health Technology Assessment Programme
ID : 07/33/01

Informations de copyright

© 2024. The Author(s).

Références

National Institute for Health and Care Excellence. Self-harm: assessment, management and preventing recurrence - evidence reviews for psychological and psychosocial interventions. NICE Guidelines, 2022;NG225:p. https://www.nice.org.uk/guidance/NG225
Tørmoen AJ, Myhre M, Walby FA, Grøholt B, Rossow I. Change in prevalence of self-harm from 2002 to 2018 among Norwegian adolescents. Eur J Pub Health. 2020;30(4):688–92.
doi: 10.1093/eurpub/ckaa042
Cairns R, Karanges EA, Wong A, et al. Trends in self-poisoning and psychotropic drug use in people aged 5–19 years: a population-based retrospective cohort study in Australia. BMJ open. 2019;9(2):e026001.
doi: 10.1136/bmjopen-2018-026001 pubmed: 30787095 pmcid: 6398641
Griffin E, McMahon E, McNicholas F, Corcoran P, Perry IJ, Arensman E. Increasing rates of self-harm among children, adolescents and young adults: a 10-year national registry study 2007–2016. Soc Psychiatry Psychiatr Epidemiol. 2018;53(7):663–71.
doi: 10.1007/s00127-018-1522-1 pubmed: 29721594
Morgan C, Webb RT, Carr MJ et al. Incidence, clinical management, and mortality risk following self harm among children and adolescents: cohort study in primary care. BMJ. 2017;359.
Geulayov G, Casey D, McDonald KC, et al. Incidence of suicide, hospital-presenting non-fatal self-harm, and community-occurring non-fatal self-harm in adolescents in England (the iceberg model of self-harm): a retrospective study. Lancet Psychiatry. 2018;5(2):167–74.
doi: 10.1016/S2215-0366(17)30478-9 pubmed: 29246453
Hawton K, Saunders KEA, O’Connor RC. Self-harm and suicide in adolescents. Lancet. 2012;379(9834):2373–82.
doi: 10.1016/S0140-6736(12)60322-5 pubmed: 22726518
Castelpietra G, Knudsen AKS, Agardh EE, Armocida B, Beghi M, Iburg KM, Logroscino G, Ma R, Starace F, Steel N, Addolorato G, Andrei CL, Andrei T, Ayuso-Mateos JL, Banach M, Bärnighausen TW, Barone-Adesi F, Bhagavathula AS, Carvalho F, Carvalho M, Chandan JS, Chattu VK, Couto RAS, Cruz-Martins N, Dargan PI, Deuba K, da Silva DD, Fagbamigbe AF, Fernandes E, Ferrara P, Fischer F, Gaal PA, Gialluisi A, Haagsma JA, Haro JM, Hasan MT, Hasan SS, Hostiuc S, Iacoviello L, Iavicoli I, Jamshidi E, Jonas JB, Joo T, Jozwiak JJ, Katikireddi SV, Kauppila JH, Khan MAB, Kisa A, Kisa S, Kivimäki M, Koly KN, Koyanagi A, Kumar M, Lallukka T, Langguth B, Ledda C, Lee PH, Lega I, Linehan C, Loureiro JA, Madureira-Carvalho ÁM, Martinez-Raga J, Mathur MR, McGrath JJ, Mechili EA, Mentis AA, Mestrovic T, Miazgowski B, Mirica A, Mirijello A, Moazen B, Mohammed S, Mulita F, Nagel G, Negoi I, Negoi RI, Nwatah VE, Padron-Monedero A, Panda-Jonas S, Pardhan S, Pasovic M, Patel J, Petcu IR, Pinheiro M, Pollok RCG, Postma MJ, Rawaf DL, Rawaf S, Romero-Rodríguez E, Ronfani L, Sagoe D, Sanmarchi F, Schaub MP, Sharew NT, Shiri R, Shokraneh F, Sigfusdottir ID, Silva JP, Silva R, Socea B, Szócska M, Tabarés-Seisdedos R, Torrado M, Tovani-Palone MR, Vasankari TJ, Veroux M, Viner RM, Werdecker A, Winkler AS, Hay SI, Ferrari AJ, Naghavi M, Allebeck P, Monasta L. The burden of mental disorders, substance use disorders and self-harm among young people in Europe, 1990-2019: Findings from the Global Burden of Disease Study 2019. Lancet Reg Health Eur. 2022 Apr 1;16:100341.
Lochrie AS, Wysocki T, Hossain J, et al. The effects of a family-based intervention (FBI) for overweight/obese children on health and psychological functioning. Clin Pract Pediatr Psychol. 2013;1(2):159–70.
De Silva S, Parker A, Purcell R, Callahan P, Liu P, Hetrick S. Mapping the evidence of prevention and intervention studies for suicidal and self-harming behaviors in young people. Crisis: J Crisis Intervention Suicide Prev. 2013;34(4):223–32.
doi: 10.1027/0227-5910/a000190
Vetere A. Evaluation of systemic interventions. In: Campbell EA, Brown JM, editors. The Cambridge Handbook of Forensic Psychology. Cambridge: Cambridge University Press; 2010. pp. 813–9.
doi: 10.1017/CBO9780511730290.099
Vos RC, Huisman SD, Houdijk ECAM, Pijl H, Wit JM. The effect of family-based multidisciplinary cognitive behavioral treatment on health-related quality of life in childhood obesity. Qual Life Research: Int J Qual Life Aspects Treat Care Rehabilitation. 2012;21(9):1587–94.
doi: 10.1007/s11136-011-0079-1
Crane DR, Christenson JD, Dobbs SM, et al. Costs of treating depression with individual versus family therapy. J Marital Fam Ther. 2013;39(4):457–69.
doi: 10.1111/j.1752-0606.2012.00326.x pubmed: 25800422
Crane DR, Hillin HH, Jakubowski SF. Costs of treating conduct disordered medicaid youth with and without family therapy. Am J Family Therapy. 2005;33(5):403–13.
doi: 10.1080/01926180500276810
Law DD, Crane DR. The influence of marital and family therapy on health care utilization in a health-maintenance organization. J Marital Fam Ther. 2000;26(3):281–91.
doi: 10.1111/j.1752-0606.2000.tb00298.x pubmed: 10934675
Russell Crane D. The cost-effectiveness of family therapy: a summary and progress report. J Family Therapy. 2008;30(4):399–410.
doi: 10.1111/j.1467-6427.2008.00443.x
Tubeuf S, Guthmuller S. Economic evaluation of family-based therapies for children and adolescents: what do we know? Global Reg Health Technol Assess. 2017;4(1):grhta5000272.
doi: 10.5301/grhta.5000272
Bodden DHM, Dirksen CD, Bögels SM, et al. Costs and cost-effectiveness of family CBT versus individual CBT in clinically anxious children. Clin Child Psychol Psychiatry. 2008;13(4):543–64.
doi: 10.1177/1359104508090602 pubmed: 18927140
Cottrell D, Wright-Hughes A, Collinson M et al. A pragmatic randomised controlled trial and economic evaluation of family therapy versus treatment as usual for young people seen after second or subsequent episodes of self-harm: the self-harm intervention-family therapy (SHIFT) trial. Health Technol Assess. 2018;22(12).
Cottrell D, Wright-Hughes A, Collinson M, et al. Effectiveness of systemic family therapy versus treatment as usual for young people after self-harm: a pragmatic, phase 3, multicentre, randomised controlled trial. Lancet Psychiatry. 2018;5(3):203–16.
doi: 10.1016/S2215-0366(18)30058-0 pubmed: 29449180 pmcid: 5835764
Ougrin D, Tranah T, Stahl D, Moran P, Asarnow JR. Therapeutic interventions for suicide attempts and self-harm in adolescents: systematic review and meta-analysis. J Am Acad Child Adolesc Psychiatry. 2015;54(2):97–107. e102.
doi: 10.1016/j.jaac.2014.10.009 pubmed: 25617250
Brent DA, McMakin DL, Kennard BD, Goldstein TR, Mayes TL, Douaihy AB. Protecting adolescents from self-harm: a critical review of intervention studies. J Am Acad Child Adolesc Psychiatry. 2013;52(12):1260–71.
doi: 10.1016/j.jaac.2013.09.009 pubmed: 24290459
Wright-Hughes A, Graham E, Farrin A et al. Self-harm intervention: family therapy (SHIFT), a study protocol for a randomised controlled trial of family therapy versus treatment as usual for young people seen after a second or subsequent episode of self-harm trials. 2015;16(1):501.
Wright-Hughes A, Graham E, Cottrell D, Farrin AJ. Routine hospital data – is it good enough for trials? An example using England’s Hospital episode statistics in the SHIFT trial of family therapy vs. treatment as usual in adolescents following self-harm. Clin Trails. 2018;15(2):197–206.
doi: 10.1177/1740774517751381
Cottrell D, Wright-Hughes A, Eisler I, et al. Longer-term effectiveness of systemic family therapy compared with treatment as usual for young people after self-harm: an extended follow up of pragmatic randomised controlled trial. EClinicalMedicine. 2020;18:100246.
doi: 10.1016/j.eclinm.2019.100246 pubmed: 31956857 pmcid: 6956753
National Institute for Health and Care Excellence. Guide to the methods of technology appraisal. 2013: https://www.nice.org.uk/article/pmg9/resources/non-guidance-guide-to-the-methods-of-technology-appraisal-2013-pdf
Dolan P. Modeling valuations for EuroQol health states. Med Care. 1997;35(11):1095–108.
doi: 10.1097/00005650-199711000-00002 pubmed: 9366889
Kind P, Hardman G, Macran S. UK Population norms for EQ-5D. York: Centre for Health Economics, University of York; 1999.
Tubeuf S, Saloniki EC, Cottrell D. Parental health spillover in cost-effectiveness analysis: evidence from self-harming adolescents in England. PharmacoEconomics. 2019;37(4):513–30.
doi: 10.1007/s40273-018-0722-6 pubmed: 30294758
Devlin N, Pan T, Kreimeier S, Verstraete J, Stolk E, Rand K, Herdman M. Valuing EQ-5D-Y: the current state of play. Health Qual Life Outcomes. 2022;20(1):105.
doi: 10.1186/s12955-022-01998-8 pubmed: 35794607 pmcid: 9260978
Sinclair JM, Gray A, Rivero-Arias O, Saunders KE, Hawton K. Healthcare and social services resource use and costs of self-harm patients. Soc Psychiatry Psychiatr Epidemiol. 2011;46(4):263–71.
doi: 10.1007/s00127-010-0183-5 pubmed: 20174782

Auteurs

Chris Bojke (C)

Leeds Institute of Health Sciences, Academic Unit of Health Economics, University of Leeds, Leeds, UK.

David Cottrell (D)

Leeds Institute of Health Sciences, University of Leeds, Leeds, UK. d.j.cottrell@leeds.ac.uk.

Alex Wright-Hughes (A)

Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK.

Amanda Farrin (A)

Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK.

Sandy Tubeuf (S)

Institute of Health and Society, Institute of Social and Economic Research, Université catholique de Louvain, Louvain-la-Neuve, Belgium.

Classifications MeSH