Cost-effectiveness of a preferred intensity exercise programme for young people with depression compared with treatment as usual: an economic evaluation alongside a clinical trial in the UK
Open accessAbstract
Objectives: To assess the cost-effectiveness of preferred intensity exercise programme for young people with depression compared with a treatment as usual control group. Design: A ‘within trial’ cost-effectiveness and cost-utility analysis conducted alongside a randomised controlled trial. The perspective of the analysis was the UK National Health Service and social services. Setting: The intervention was provided in a community leisure centre setting. Participants: 86 young people aged 14–17 years attending Tier 2 and Tier 3 CAMHS (Child and Adolescent Mental Health Services) outpatient services presenting with depression. Interventions: The intervention comprised 12 separate sessions of circuit training over a 6-week period. Sessions were supervised by a qualified exercise therapist. Participants also received treatment as usual. The comparator group received treatment as usual. Results: We found improvements in the Children’s Depression Inventory-2 (CDI-2) and estimated cost-effectiveness at £61 per point improvement in CDI-2 for the exercise group compared with control. We found no evidence that the exercise intervention led to differences in quality-adjusted life years (QALY). QALYs were estimated using the EQ-5D-5L (5-level version of EuroQol-5 dimension). Conclusions: There is evidence that exercise can be an effective intervention for adolescents with depression and the current study shows that preferred intensity exercise could also represent a cost-effective intervention in terms of the CDI-2. Trial registration number: NCT01474837.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Other evidence for specific interventions targeting disorders that occur mainly in young people (such as depressive or eating disorders) have also been found to be highly cost-effective.
“Other evidence for specific interventions targeting disorders that occur mainly in young people (such as depressive or eating disorders) have also been found to be highly cost-effective. 430-432”
From The Lancet Psychiatry Commission on youth mental health (2024) · cites this paper as [431]
The Conclusion says preferred-intensity exercise could be cost-effective for adolescents with depression when measured by improvement in CDI-2 scores. But the Results > Outcomes and Discussion report substantial uncertainty and no evidence of a QALY improvement, so this study does not establish that the intervention is highly cost-effective. The paper addresses depression, not eating disorders. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)
Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., Bonsel, G., & Badia, X. (2011) · Quality of Life Research · doi:10.1007/s11136-011-9903-x · Cited by 9,795 · cited 3× · see citing works
“Another factor may be that the current study used the EQ-5D-5L.27 All the currently available literature evaluating the EQ-5D in depression uses the EQ-5D-3L.36 It may be that the 5-level version performs less well in people with depression.”
MethodThapar, A., Collishaw, S., Pine, D. S., & Thapar, A. K. (2012) · The Lancet · doi:10.1016/s0140-6736(11)60871-4 · Cited by 2,365 · see citing works
Valuing health-related quality of life: an EQ-5D-5L value set for England
Devlin, N. J., Shah, K. K., Feng, Y., Mulhern, B., & van Hout, B. (2018) · Health Economics · doi:10.1002/hec.3564 · Cited by 1,356 · see citing works
Manca, A., Hawkins, N., & Sculpher, M. J. (2005) · Health Economics · doi:10.1002/hec.944 · Cited by 1,024 · see citing works
Faria, R., Gomes, M., Epstein, D., & White, I. R. (2014) · PharmacoEconomics · doi:10.1007/s40273-014-0193-3 · Cited by 673 · see citing works
Collishaw, S., Maughan, B., Natarajan, L., & Pickles, A. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02252.x · Cited by 267 · see citing works
Sund, A. M., Larsson, B., & Wichstrøm, L. (2011) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-010-0208-0 · Cited by 141 · see citing works
Hughes, C. W., Barnes, S., Barnes, C., DeFina, L. F., Nakonezny, P., & Emslie, G. J. (2013) · Mental Health and Physical Activity · doi:10.1016/j.mhpa.2013.06.006 · Cited by 132 · see citing works
Flagged first, then by citations
Research works printed but not linked: 27
- [3]Birmaher B, Brent D, Bernet W, et al Practice parameter for the assessment and treatment of children and adolescents with depressive disorders. J Am Acad Child Adolesc Psychiatry 2007; 46: 1503– 26. 10.1097/chi.0b013e318145ae1c 18049300 · DOI · Paper page
- [4]Wesselhoeft R, Sørensen MJ, Heiervang ER, et al Subthreshold depression in children and adolescents - a systematic review. J Affect Disord 2013; 151: 7– 22. 10.1016/j.jad.2013.06.010 23856281 · DOI
- [5]Babiss LA, Gangwisch JE Sports participation as a protective factor against depression and suicidal ideation in adolescents as mediated by self-esteem and social support. J Dev Behav Pediatr 2009; 30: 376– 84. 10.1097/DBP.0b013e3181b33659 19692930 · DOI
- [6]Jerstad SJ, Boutelle KN, Ness KK, et al Prospective reciprocal relations between physical activity and depression in female adolescents. J Consult Clin Psychol 2010; 78: 268– 72. 10.1037/a0018793 20350037 PMC2847789 · DOI
- [7]Neissaar I, Raudsepp L Changes in physical activity, self-efficacy and depressive symptoms in adolescent girls. Pediatr Exerc Sci 2011; 23: 331– 43. 10.1123/pes.23.3.331 21881154 · DOI
- [10]Carter T, Callaghan P, Khalil E, et al The effectiveness of a preferred intensity exercise programme on the mental health outcomes of young people with depression: a sequential mixed methods evaluation. BMC Public Health 2012; 12: 187 10.1186/1471-2458-12-187 22414319 PMC3323888 · DOI
- [11]Carter T, Guo B, Turner D, et al Preferred intensity exercise for adolescents receiving treatment for depression: a pragmatic randomised controlled trial. BMC Psychiatry 2015; 15: 247 10.1186/s12888-015-0638-z 26467764 PMC4605143 · DOI · Paper page
- [12]Snell T, Knapp M, Healey A, et al Economic impact of childhood psychiatric disorder on public sector services in Britain: estimates from national survey data. J Child Psychol Psychiatry 2013; 54: 977– 85. 10.1111/jcpp.12055 23442096 · DOI
- [13]Knapp M, McCrone P, Fombonne E, et al The Maudsley long-term follow-up of child and adolescent depression: 3. Impact of comorbid conduct disorder on service use and costs in adulthood. Br J Psychiatry 2002; 180: 19– 23. 10.1192/bjp.180.1.19 11772846 · DOI
- [14]Philipsson A, Duberg A, Möller M, et al Cost-utility analysis of a dance intervention for adolescent girls with internalizing problems. Cost Eff Resour Alloc 2013; 11: 4 10.1186/1478-7547-11-4 23425608 PMC3598394 · DOI
- [15]Domino ME, Burns BJ, Silva SG, et al Cost-effectiveness of treatments for adolescent depression: results from TADS. Am J Psychiatry 2008; 165: 588– 96. 10.1176/appi.ajp.2008.07101610 18413703 · DOI · Paper page
- [16]Domino ME, Foster EM, Vitiello B, et al Relative cost-effectiveness of treatments for adolescent depression: 36-week results from the TADS randomized trial. J Am Acad Child Adolesc Psychiatry 2009; 48: 711– 20. 10.1097/CHI.0b013e3181a2b319 19465880 · DOI
- [17]Wright DR, Haaland WL, Ludman E, et al The Costs and cost-effectiveness of collaborative care for adolescents with depression in primary care settings: a randomized clinical trial. JAMA Pediatr 2016; 170: 1048– 54. 10.1001/jamapediatrics.2016.1721 27654449 · DOI · Paper page
- [18]Byford S, Barrett B, Roberts C, et al Cost-effectiveness of selective serotonin reuptake inhibitors and routine specialist care with and without cognitive behavioural therapy in adolescents with major depression. Br J Psychiatry 2007; 191: 521– 7. 10.1192/bjp.bp.107.038984 18055956 · DOI
- [19]Anderson R, Ukoumunne OC, Sayal K, et al Cost-effectiveness of classroom-based cognitive behaviour therapy in reducing symptoms of depression in adolescents: a trial-based analysis. J Child Psychol Psychiatry 2014; 55: 1390– 7. 10.1111/jcpp.12248 24813670 · DOI · Paper page
- [20]Stallard P, Phillips R, Montgomery AA, et al A cluster randomised controlled trial to determine the clinical effectiveness and cost-effectiveness of classroom-based cognitive-behavioural therapy (CBT) in reducing symptoms of depression in high-risk adolescents. Health Technol Assess 2013; 17: 1– 109. 10.3310/hta17470 PMC4781207 24172024 · DOI · Paper page
- [21]Wright B, Tindall L, Littlewood E, et al Computerised cognitive-behavioural therapy for depression in adolescents: feasibility results and 4-month outcomes of a UK randomised controlled trial. BMJ Open 2017; 7: e012834 10.1136/bmjopen-2016-012834 PMC5278287 28132000 · DOI
- [22]Kovacs M Children’s Depression Inventory 2nd Edition (CDI-2):Technical manual. Canada: Multi-Health Systems, 2011.
- [25]Joint Formulary Committee. British National Formulary. 2014 http://www.medicinescomplete.com (accessed Mar 2014). PMC4952503 19728509
- [30]White IR, Royston P, Wood AM Multiple imputation using chained equations: issues and guidance for practice. Stat Med 2011; 30: 377– 99. 10.1002/sim.4067 21225900 · DOI · Paper page
- [32]Marshall A, Altman DG, Holder RL, et al Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines. BMC Med Res Methodol 2009; 9: 57 10.1186/1471-2288-9-57 19638200 PMC2727536 · DOI
- [33]Löthgren M, Zethraeus N Definition, interpretation and calculation of cost-effectiveness acceptability curves. Health Econ 2000; 9: 623– 30. 10.1002/1099-1050(200010)9:7<623::AID-HEC539>3.0.CO;2-V 11103928 · DOI
- [34]Byford S The validity and responsiveness of the EQ-5D measure of health-related quality of life in an adolescent population with persistent major depression. J Ment Health 2013; 22: 101– 10. 10.3109/09638237.2013.779366 23574502 · DOI
- [35]Brazier J, Connell J, Papaioannou D, et al A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures. Health Technol Assess 2014; 18: 1– 188. 10.3310/hta18340 PMC4781324 24857402 · DOI
- [36]Brooks R EuroQol: the current state of play. Health Policy 1996; 37: 53– 72. 10.1016/0168-8510(96)00822-6 10158943 · DOI · Paper page
- [37]Bang YR, Park JH, Kim SH Cut-Off Scores of the Children’s Depression Inventory for Screening and Rating Severity in Korean Adolescents. Psychiatry Investig 2015; 12: 23– 8. 10.4306/pi.2015.12.1.23 PMC4310917 25670942 · DOI
- [38]Kolovos S, Bosmans JE, van Dongen JM, et al Utility scores for different health states related to depression: individual participant data analysis. Qual Life Res 2017; 26: 1649– 58. 10.1007/s11136-017-1536-2 28260149 PMC5486895 · DOI
Cited by
Sorted by citations
The Lancet Psychiatry Commission on youth mental health
McGorry, P. D., Mei, C., Dalal, N., Alvarez-Jimenez, M., Blakemore, S.-J., Browne, V., Dooley, B., Hickie, I. B., Jones, P. B., McDaid, D., et al. (2024) · The Lancet Psychiatry · doi:10.1016/s2215-0366(24)00163-9 · Cited by 663 · see citing works
Yu, Q., Wong, K.-K., Lei, O.-K., Nie, J., Shi, Q., Zou, L., & Kong, Z. (2022) · Sports Medicine - Open · doi:10.1186/s40798-022-00529-5 · Cited by 80 · see citing works
- Authors
- Turner, D., Carter, T., Sach, T., Guo, B., & Callaghan, P.
- Affiliations
- University of East Anglia (GB)
- University of Nottingham (GB)
- Corresponding author
- Turner, David
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2017-11
- Volume
- 7
- Issue
- 11
- Pages
- e016211
- ISSN
- 2044-6055 (ISSN-L)
- PMC
- PMC5719311
- OpenAlex
- W2769330021
- Cited by
- 25
- References
- 8
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 1
- FWCI
- 2.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMJ Open (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Open (London South Bank University) (acceptedVersion)
- UEA Digital Repository (University of East Anglia) (acceptedVersion, cc-by)
- Research Open (London South Bank University) (acceptedVersion, cc-by)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- ePrints Soton (University of Southampton) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institute for Health and Care Research (PB-PG-1208-18097)
- Research for Patient Benefit Programme
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Keywords
- adolescent depression, exercise therapy, circuit training, cost-effectiveness, cost-utility analysis, child and adolescent mental health services, quality-adjusted life years
- MeSH terms
- Adolescent, Cost-Benefit Analysis, Depression, Exercise Therapy, Female, United Kingdom, Humans, Male, Quality of Life, Single-Blind Method, Quality-Adjusted Life Years
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review