Including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the PROSPECTIV pilot study
PurposeTo assess feasibility and health economic benefits and costs as part of a pilot study for a nurse-led, psychoeducational intervention (NPLI) for prostate cancer in order to understand the potential for cost effectiveness as well as contribute to the design of a larger scale trial.MethodsMen w...
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Series: | Global & Regional Health Technology Assessment |
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doaj-0cb804780c504c5782ac16b6b597e33e2020-11-25T01:18:00ZengAboutScience SrlGlobal & Regional Health Technology Assessment2284-24032283-57332017-07-0141e165e17410.5301/grhta.5000269Including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the PROSPECTIV pilot studyRichéal M. BurnsJane WolstenholmeBethany ShinkinsEmma FrithLauren MathesonPeter W. RoseEila WatsonPurposeTo assess feasibility and health economic benefits and costs as part of a pilot study for a nurse-led, psychoeducational intervention (NPLI) for prostate cancer in order to understand the potential for cost effectiveness as well as contribute to the design of a larger scale trial.MethodsMen with stable prostate cancer post-treatment were recruited from two cancer centres in the UK. Eighty-three men were randomised to the NLPI plus usual care or usual care alone (UCA) (42 NLPI and 41 UCA); the NLPI plus usual care was delivered in the primary-care setting (the intervention) and included an initial face-to-face consultation with a trained nurse, with follow-up tailored to individual needs. The study afforded the opportunity to undertake a short-term within pilot analysis. The primary outcome measure for the economic evaluation was quality of life, as measured by the EuroQol five dimensions questionnaire (EQ-5D) (EQ-5D-5L) instrument. Costs (£2014) assessed included health-service resource use, out-of-pocket expenses and losses from inability to undertake usual activities.ResultsTotal and incremental costs varied across the different scenarios assessed, with mean cost differences ranging from £173 to £346; incremental effect, as measured by the change in utility scores over the duration of follow-up, exhibited wide confidence intervals highlighting inconclusive effectiveness (95% CI: -0.0226; 0.0438). The cost per patient of delivery of the intervention would be reduced if rolled out to a larger patient cohort.ConclusionsThe NLPI is potentially cost saving depending on the scale of delivery; however, the results presented are not considered generalisable.http://www.grhta.com/Attach/71F75AD5-E4DD-42B8-ACDD-221B9EFE52FB/E9DEB4FD-ADFC-47FD-BF00-01399F356385 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Richéal M. Burns Jane Wolstenholme Bethany Shinkins Emma Frith Lauren Matheson Peter W. Rose Eila Watson |
spellingShingle |
Richéal M. Burns Jane Wolstenholme Bethany Shinkins Emma Frith Lauren Matheson Peter W. Rose Eila Watson Including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the PROSPECTIV pilot study Global & Regional Health Technology Assessment |
author_facet |
Richéal M. Burns Jane Wolstenholme Bethany Shinkins Emma Frith Lauren Matheson Peter W. Rose Eila Watson |
author_sort |
Richéal M. Burns |
title |
Including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the PROSPECTIV pilot study |
title_short |
Including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the PROSPECTIV pilot study |
title_full |
Including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the PROSPECTIV pilot study |
title_fullStr |
Including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the PROSPECTIV pilot study |
title_full_unstemmed |
Including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the PROSPECTIV pilot study |
title_sort |
including health economic analysis in pilot studies: lessons learned from a cost-utility analysis within the prospectiv pilot study |
publisher |
AboutScience Srl |
series |
Global & Regional Health Technology Assessment |
issn |
2284-2403 2283-5733 |
publishDate |
2017-07-01 |
description |
PurposeTo assess feasibility and health economic benefits and costs as part of a pilot study for a nurse-led, psychoeducational intervention (NPLI) for prostate cancer in order to understand the potential for cost effectiveness as well as contribute to the design of a larger scale trial.MethodsMen with stable prostate cancer post-treatment were recruited from two cancer centres in the UK. Eighty-three men were randomised to the NLPI plus usual care or usual care alone (UCA) (42 NLPI and 41 UCA); the NLPI plus usual care was delivered in the primary-care setting (the intervention) and included an initial face-to-face consultation with a trained nurse, with follow-up tailored to individual needs. The study afforded the opportunity to undertake a short-term within pilot analysis. The primary outcome measure for the economic evaluation was quality of life, as measured by the EuroQol five dimensions questionnaire (EQ-5D) (EQ-5D-5L) instrument. Costs (£2014) assessed included health-service resource use, out-of-pocket expenses and losses from inability to undertake usual activities.ResultsTotal and incremental costs varied across the different scenarios assessed, with mean cost differences ranging from £173 to £346; incremental effect, as measured by the change in utility scores over the duration of follow-up, exhibited wide confidence intervals highlighting inconclusive effectiveness (95% CI: -0.0226; 0.0438). The cost per patient of delivery of the intervention would be reduced if rolled out to a larger patient cohort.ConclusionsThe NLPI is potentially cost saving depending on the scale of delivery; however, the results presented are not considered generalisable. |
url |
http://www.grhta.com/Attach/71F75AD5-E4DD-42B8-ACDD-221B9EFE52FB/E9DEB4FD-ADFC-47FD-BF00-01399F356385 |
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