Med Decis Making - Optimization of PSA screening policies: a comparison of the patient and societal perspectives.

Tópicos

{ cancer(2502) breast(956) screen(824) }
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Resumo

JECTIVE: To estimate the benefit of PSA-based screening for prostate cancer from the patient and societal perspectives.METHOD: A partially observable Markov decision process model was used to optimize PSA screening decisions. Age-specific prostate cancer incidence rates and the mortality rates from prostate cancer and competing causes were considered. The model trades off the potential benefit of early detection with the cost of screening and loss of patient quality of life due to screening and treatment. PSA testing and biopsy decisions are made based on the patient's probability of having prostate cancer. Probabilities are inferred based on the patient's complete PSA history using Bayesian updating.DATA SOURCES: The results of all PSA tests and biopsies done in Olmsted County, Minnesota, from 1993 to 2005 (11,872 men and 50,589 PSA test results).OUTCOME MEASURES: Patients' perspective: to maximize expected quality-adjusted life years (QALYs); societal perspective: to maximize the expected monetary value based on societal willingness to pay for QALYs and the cost of PSA testing, prostate biopsies, and treatment.RESULTS: From the patient perspective, the optimal policy recommends stopping PSA testing and biopsy at age 76. From the societal perspective, the stopping age is 71. The expected incremental benefit of optimal screening over the traditional guideline of annual PSA screening with threshold 4.0 ng/mL for biopsy is estimated to be 0.165 QALYs per person from the patient perspective and 0.161 QALYs per person from the societal perspective. PSA screening based on traditional guidelines is found to be worse than no screening at all.CONCLUSIONS: PSA testing done with traditional guidelines underperforms and therefore underestimates the potential benefit of screening. Optimal screening guidelines differ significantly depending on the perspective of the decision maker.

Resumo Limpo

jectiv estim benefit psabas screen prostat cancer patient societ perspectivesmethod partial observ markov decis process model use optim psa screen decis agespecif prostat cancer incid rate mortal rate prostat cancer compet caus consid model trade potenti benefit earli detect cost screen loss patient qualiti life due screen treatment psa test biopsi decis made base patient probabl prostat cancer probabl infer base patient complet psa histori use bayesian updatingdata sourc result psa test biopsi done olmst counti minnesota men psa test resultsoutcom measur patient perspect maxim expect qualityadjust life year qali societ perspect maxim expect monetari valu base societ willing pay qali cost psa test prostat biopsi treatmentresult patient perspect optim polici recommend stop psa test biopsi age societ perspect stop age expect increment benefit optim screen tradit guidelin annual psa screen threshold ngml biopsi estim qali per person patient perspect qali per person societ perspect psa screen base tradit guidelin found wors screen allconclus psa test done tradit guidelin underperform therefor underestim potenti benefit screen optim screen guidelin differ signific depend perspect decis maker

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