dc.contributor.author | Meads, DM | |
dc.contributor.author | O'Dwyer, J | |
dc.contributor.author | Hulme, CT | |
dc.contributor.author | Lopez, RR | |
dc.contributor.author | Bennett, MI | |
dc.date.accessioned | 2019-02-28T14:11:27Z | |
dc.date.issued | 2019-03-15 | |
dc.description.abstract | Objectives: Uncontrolled pain in advanced cancer is a common problem and has significant
impact on individuals’ quality of life and use of healthcare resources. Interventions to help
manage pain at the end of life are available but there is limited economic evidence to support
their wider implementation. We conducted a case study economic evaluation of two pain selfmanagement interventions (PainCheck and Tackling Cancer Pain Toolkit (TCPT)) compared
to usual care.
Methods: We generated a decision-analytic model to facilitate the evaluation. This modelled
the survival of individuals at the end of life as they moved through pain severity categories.
Intervention effectiveness was based on published meta-analyses results. The evaluation was
conducted from the perspective of the UK health service provider and reported cost per
quality-adjusted life year (QALY).
Results: PainCheck and TCPT were cheaper (respective incremental costs -GBP148 [-
EUR168.53] and -GBP474 [-EUR539.74]) and more effective (respective incremental QALYs
of 0.010 and 0.013) than usual care. There was a 65% and 99.5% chance of costeffectiveness for PainCheck and TCPT, respectively. Results were relatively robust to
sensitivity analyses. The most important driver of cost-effectiveness was level of pain
reduction (intervention effectiveness). Although cost savings were modest per patient these
were considerable when accounting for the number of potential intervention beneficiaries.
Conclusion: Educational and monitoring/feedback interventions have the potential to be costeffective. Economic evaluations based on estimates of effectiveness from published metaanalyses and using a decision modelling approach can support commissioning decisions and
implementation of pain management strategies. | en_GB |
dc.description.sponsorship | National Institute for Health Research (NIHR) | en_GB |
dc.identifier.citation | Published online 15 March 2019. | en_GB |
dc.identifier.doi | 10.1017/S0266462319000114 | |
dc.identifier.grantnumber | RP-PG-0610- 10114 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/36132 | |
dc.language.iso | en | en_GB |
dc.publisher | Cambridge University Press for Health Technology Assessment International | en_GB |
dc.rights | © Cambridge University Press 2019. | |
dc.subject | cost-effectiveness | en_GB |
dc.subject | palliative care | en_GB |
dc.subject | cancer pain | en_GB |
dc.subject | self-management | en_GB |
dc.title | The cost effectiveness of pain management strategies in advanced cancer | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-02-28T14:11:27Z | |
dc.identifier.issn | 0266-4623 | |
dc.description | This is the author accepted manuscript. The final version is available from Cambridge University Press via the DOI in this record. | en_GB |
dc.identifier.journal | International Journal of Technology Assessment in Health Care | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2019-01-01 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2019-01-01 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-02-28T13:06:21Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-03-22T09:48:33Z | |
refterms.panel | A | en_GB |