scholarly journals The cost-effectiveness of long-acting reversible contraceptive methods in the UK: analysis based on a decision-analytic model developed for a National Institute for Health and Clinical Excellence (NICE) clinical practice guideline

2008 ◽  
Vol 23 (6) ◽  
pp. 1338-1345 ◽  
Author(s):  
I. Mavranezouli ◽  
2019 ◽  
Vol 39 (7) ◽  
pp. 842-856
Author(s):  
Ji-Hee Youn ◽  
Matt D. Stevenson ◽  
Praveen Thokala ◽  
Katherine Payne ◽  
Maria Goddard

Introduction. Individuals from older populations tend to have more than 1 health condition (multimorbidity). Current approaches to produce economic evidence for clinical guidelines using decision-analytic models typically use a single-disease approach, which may not appropriately reflect the competing risks within a population with multimorbidity. This study aims to demonstrate a proof-of-concept method of modeling multiple conditions in a single decision-analytic model to estimate the impact of multimorbidity on the cost-effectiveness of interventions. Methods. Multiple conditions were modeled within a single decision-analytic model by linking multiple single-disease models. Individual discrete event simulation models were developed to evaluate the cost-effectiveness of preventative interventions for a case study assuming a UK National Health Service perspective. The case study used 3 diseases (heart disease, Alzheimer’s disease, and osteoporosis) that were combined within a single linked model. The linked model, with and without correlations between diseases incorporated, simulated the general population aged 45 years and older to compare results in terms of lifetime costs and quality-adjusted life-years (QALYs). Results. The estimated incremental costs and QALYs for health care interventions differed when 3 diseases were modeled simultaneously (£840; 0.234 QALYs) compared with aggregated results from 3 single-disease models (£408; 0.280QALYs). With correlations between diseases additionally incorporated, both absolute and incremental costs and QALY estimates changed in different directions, suggesting that the inclusion of correlations can alter model results. Discussion. Linking multiple single-disease models provides a methodological option for decision analysts who undertake research on populations with multimorbidity. It also has potential for wider applications in informing decisions on commissioning of health care services and long-term priority setting across diseases and health care programs through providing potentially more accurate estimations of the relative cost-effectiveness of interventions.


2013 ◽  
Vol 16 (2) ◽  
pp. 356-366 ◽  
Author(s):  
Edward C.F. Wilson ◽  
Jon D. Emery ◽  
Ann Louise Kinmonth ◽  
A. Toby Prevost ◽  
Helen C. Morris ◽  
...  

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Felix Achana ◽  
Alex J. Sutton ◽  
Denise Kendrick ◽  
Mike Hayes ◽  
David R. Jones ◽  
...  

2002 ◽  
Vol 22 (1_suppl) ◽  
pp. 26-37 ◽  
Author(s):  
Fujian Song ◽  
James Raftery ◽  
Paul Aveyard ◽  
Chris Hyde ◽  
Pelham Barton ◽  
...  

To evaluate the relative cost-effectiveness of nicotine replacement therapy (NRT) and bupropion SR for smoking cessation, the authors reviewed published studies and developed a decision analytic model from the UK National Health Services perspective. Irrespective of the methods or assumptions involved, the results of published studies consistently indicated that NRT for smoking cessation is cost-effective. No published studies have evaluated the relative cost-effectiveness of bupropion SR for smoking cessation. The results of the decision analyses indicated that, as compared with advice or counseling alone, the incremental cost per life-years saved is about $1,441~$3,455 for NRT, $920~$2,150 for bupropion SR, and $1,282~$2,836 for NRT plus bupropion SR. The cost-effectiveness of adding NRT and bupropion SR to advice or counseling for smoking cessation is better than many other accepted health care interventions.


2018 ◽  
Vol 36 (5) ◽  
pp. 603-612 ◽  
Author(s):  
Björn Stollenwerk ◽  
Sergio Iannazzo ◽  
Ron Akehurst ◽  
Michael Adena ◽  
Andrew Briggs ◽  
...  

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