{"_id":"Sm9scyAjGt8nBEjFD","bibbaseid":"gray-donten-karssemeijer-vangils-evans-astley-payne-evaluationofastratifiednationalbreastscreeningprogramintheunitedkingdomanearlymodelbasedcosteffectivenessanalysis-2017","author_short":["Gray, E.","Donten, A.","Karssemeijer, N.","van Gils, C.","Evans, D. G.","Astley, S.","Payne, K."],"bibdata":{"bibtype":"article","type":"article","title":"Evaluation of a Stratified National Breast Screening Program in the United Kingdom: An Early Model-Based Cost-Effectiveness Analysis","volume":"20","issn":"10983015","shorttitle":"Evaluation of a Stratified National Breast Screening Program in the United Kingdom","url":"https://linkinghub.elsevier.com/retrieve/pii/S1098301517302127","doi":"10.1016/j.jval.2017.04.012","abstract":"Objectives: To identify the incremental costs and consequences of stratified national breast screening programs (stratified NBSPs) and drivers of relative cost-effectiveness. Methods: A decision-analytic model (discrete event simulation) was conceptualized to represent four stratified NBSPs (risk 1, risk 2, masking [supplemental screening for women with higher breast density], and masking and risk 1) compared with the current UK NBSP and no screening. The model assumed a lifetime horizon, the health service perspective to identify costs (£, 2015), and measured consequences in quality-adjusted lifeyears (QALYs). Multiple data sources were used: systematic reviews of effectiveness and utility, published studies reporting costs, and cohort studies embedded in existing NBSPs. Model parameter uncertainty was assessed using probabilistic sensitivity analysis and one-way sensitivity analysis. Results: The base-case analysis, supported by probabilistic sensitivity analysis, suggested that the risk stratified NBSPs (risk 1 and risk-2) were relatively cost-effective when compared with the current UK NBSP, with incremental cost-effectiveness ratios of £16,689 per QALY and £23,924 per QALY, respectively. Stratified NBSP including masking approaches (supplemental screening for women with higher breast density) was not a cost-effective alternative, with incremental cost-effectiveness ratios of £212,947 per QALY (masking) and £75,254 per QALY (risk 1 and masking). When compared with no screening, all stratified NBSPs could be considered cost-effective. Key drivers of cost-effectiveness were discount rate, natural history model parameters, mammographic sensitivity, and biopsy rates for recalled cases. A key assumption was that the risk model used in the stratification process was perfectly calibrated to the population. Conclusions: This early model-based costeffectiveness analysis provides indicative evidence for decision makers to understand the key drivers of costs and QALYs for exemplar stratified NBSP.","language":"en","number":"8","urldate":"2021-04-28","journal":"Value in Health","author":[{"propositions":[],"lastnames":["Gray"],"firstnames":["Ewan"],"suffixes":[]},{"propositions":[],"lastnames":["Donten"],"firstnames":["Anna"],"suffixes":[]},{"propositions":[],"lastnames":["Karssemeijer"],"firstnames":["Nico"],"suffixes":[]},{"propositions":["van"],"lastnames":["Gils"],"firstnames":["Carla"],"suffixes":[]},{"propositions":[],"lastnames":["Evans"],"firstnames":["D.","Gareth"],"suffixes":[]},{"propositions":[],"lastnames":["Astley"],"firstnames":["Sue"],"suffixes":[]},{"propositions":[],"lastnames":["Payne"],"firstnames":["Katherine"],"suffixes":[]}],"month":"September","year":"2017","pages":"1100–1109","file":"Gray et al. - 2017 - Evaluation of a Stratified National Breast Screeni.pdf:/Users/neil.hawkins/Zotero/storage/Q374ZPCQ/Gray et al. - 2017 - Evaluation of a Stratified National Breast Screeni.pdf:application/pdf","bibtex":"@article{gray_evaluation_2017-1,\n\ttitle = {Evaluation of a {Stratified} {National} {Breast} {Screening} {Program} in the {United} {Kingdom}: {An} {Early} {Model}-{Based} {Cost}-{Effectiveness} {Analysis}},\n\tvolume = {20},\n\tissn = {10983015},\n\tshorttitle = {Evaluation of a {Stratified} {National} {Breast} {Screening} {Program} in the {United} {Kingdom}},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1098301517302127},\n\tdoi = {10.1016/j.jval.2017.04.012},\n\tabstract = {Objectives: To identify the incremental costs and consequences of stratified national breast screening programs (stratified NBSPs) and drivers of relative cost-effectiveness. Methods: A decision-analytic model (discrete event simulation) was conceptualized to represent four stratified NBSPs (risk 1, risk 2, masking [supplemental screening for women with higher breast density], and masking and risk 1) compared with the current UK NBSP and no screening. The model assumed a lifetime horizon, the health service perspective to identify costs (£, 2015), and measured consequences in quality-adjusted lifeyears (QALYs). Multiple data sources were used: systematic reviews of effectiveness and utility, published studies reporting costs, and cohort studies embedded in existing NBSPs. Model parameter uncertainty was assessed using probabilistic sensitivity analysis and one-way sensitivity analysis. Results: The base-case analysis, supported by probabilistic sensitivity analysis, suggested that the risk stratified NBSPs (risk 1 and risk-2) were relatively cost-effective when compared with the current UK NBSP, with incremental cost-effectiveness ratios of £16,689 per QALY and £23,924 per QALY, respectively. Stratified NBSP including masking approaches (supplemental screening for women with higher breast density) was not a cost-effective alternative, with incremental cost-effectiveness ratios of £212,947 per QALY (masking) and £75,254 per QALY (risk 1 and masking). When compared with no screening, all stratified NBSPs could be considered cost-effective. Key drivers of cost-effectiveness were discount rate, natural history model parameters, mammographic sensitivity, and biopsy rates for recalled cases. A key assumption was that the risk model used in the stratification process was perfectly calibrated to the population. Conclusions: This early model-based costeffectiveness analysis provides indicative evidence for decision makers to understand the key drivers of costs and QALYs for exemplar stratified NBSP.},\n\tlanguage = {en},\n\tnumber = {8},\n\turldate = {2021-04-28},\n\tjournal = {Value in Health},\n\tauthor = {Gray, Ewan and Donten, Anna and Karssemeijer, Nico and van Gils, Carla and Evans, D. Gareth and Astley, Sue and Payne, Katherine},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {1100--1109},\n\tfile = {Gray et al. - 2017 - Evaluation of a Stratified National Breast Screeni.pdf:/Users/neil.hawkins/Zotero/storage/Q374ZPCQ/Gray et al. - 2017 - Evaluation of a Stratified National Breast Screeni.pdf:application/pdf},\n}\n\n","author_short":["Gray, E.","Donten, A.","Karssemeijer, N.","van Gils, C.","Evans, D. G.","Astley, S.","Payne, K."],"bibbaseid":"gray-donten-karssemeijer-vangils-evans-astley-payne-evaluationofastratifiednationalbreastscreeningprogramintheunitedkingdomanearlymodelbasedcosteffectivenessanalysis-2017","role":"author","urls":{"Paper":"https://linkinghub.elsevier.com/retrieve/pii/S1098301517302127"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/FfNE7kWA6pCvwcJZF/myPubs.bib","dataSources":["ZaHtWavQhcwZqKLNF","iRRNaRs6FkffgErta","v8uQmZsBpiqycmskv"],"keywords":[],"search_terms":["evaluation","stratified","national","breast","screening","program","united","kingdom","early","model","based","cost","effectiveness","analysis","gray","donten","karssemeijer","van gils","evans","astley","payne"],"title":"Evaluation of a Stratified National Breast Screening Program in the United Kingdom: An Early Model-Based Cost-Effectiveness Analysis","year":2017}