Comorbidity-Adjusted Life Expectancy: A New Tool to Inform Recommendations for Optimal Screening Strategies

2013 ◽  
Vol 159 (10) ◽  
pp. 667 ◽  
Author(s):  
Hyunsoon Cho ◽  
Carrie N. Klabunde ◽  
K. Robin Yabroff ◽  
Zhuoqiao Wang ◽  
Angela Meekins ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Screening Strategies ◽  
Optimal Screening

scholarly journals FRAX or Fiction: Determining Optimal Screening Strategies for Treatment of Osteoporosis in Residents in Long-Term Care Facilities

2012 ◽  
Vol 60 (4) ◽  
pp. 684-690 ◽  
Author(s):  
Susan L. Greenspan ◽  
Subashan Perera ◽  
David Nace ◽  
Kimberly S. Zukowski ◽  
Mary A. Ferchak ◽  
...  
Keyword(s):  
Long Term Care ◽  
Term Care ◽  
Treatment Of Osteoporosis ◽  
Screening Strategies ◽  
Care Facilities ◽  
Optimal Screening

scholarly journals Toward optimal screening strategies for older women

2005 ◽  
Vol 20 (6) ◽  
pp. 487-496 ◽  
Author(s):  
Jeanne S. Mandelblatt ◽  
◽  
Clyde B. Schechter ◽  
K. Robin Yabroff ◽  
William Lawrence ◽  
...  
Keyword(s):  
Older Women ◽  
Screening Strategies ◽  
Optimal Screening

scholarly journals Developing and Validating Metamodels of a Microsimulation Model of Infant HIV Testing and Screening Strategies Used in a Decision Support Tool for Health Policy Makers

2020 ◽  
Vol 5 (1) ◽  
pp. 238146832093289
Author(s):  
Djøra I. Soeteman ◽  
Stephen C. Resch ◽  
Hawre Jalal ◽  
Caitlin M. Dugdale ◽  
Martina Penazzato ◽  
...  
Keyword(s):  
Health Policy ◽  
Linear Regression ◽  
Life Expectancy ◽  
Hiv Testing ◽  
Predictive Validity ◽  
Cross Validation ◽  
Decision Support Tool ◽  
Microsimulation Model ◽  
Support Tool ◽  
Screening Strategies

Background. Metamodels can simplify complex health policy models and yield instantaneous results to inform policy decisions. We investigated the predictive validity of linear regression metamodels used to support a real-time decision-making tool that compares infant HIV testing/screening strategies. Methods. We developed linear regression metamodels of the Cost-Effectiveness of Preventing AIDS Complications Pediatric (CEPAC-P) microsimulation model used to predict life expectancy and lifetime HIV-related costs/person of two infant HIV testing/screening programs in South Africa. Metamodel performance was assessed with cross-validation and Bland-Altman plots, showing between-method differences in predicted outcomes against their means. Predictive validity was determined by the percentage of simulations in which the metamodels accurately predicted the strategy with the greatest net health benefit (NHB) as projected by the CEPAC-P model. We introduced a zone of indifference and investigated the width needed to produce between-method agreement in 95% of the simulations. We also calculated NHB losses from “wrong” decisions by the metamodel. Results. In cross-validation, linear regression metamodels accurately approximated CEPAC-P-projected outcomes. For life expectancy, Bland-Altman plots showed good agreement between CEPAC-P and the metamodel (within 1.1 life-months difference). For costs, 95% of between-method differences were within $65/person. The metamodels predicted the same optimal strategy as the CEPAC-P model in 87.7% of simulations, increasing to 95% with a zone of indifference of 0.24 life-months ( ∼ 7 days). The losses in health benefits due to “wrong” choices by the metamodel were modest (range: 0.0002–1.1 life-months). Conclusions. For this policy question, linear regression metamodels offered sufficient predictive validity for the optimal testing strategy as compared with the CEPAC-P model. Metamodels can simulate different scenarios in real time, based on sets of input parameters that can be depicted in a widely accessible decision-support tool.

Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies

2010 ◽  
Vol 58 (5) ◽  
pp. 1269-1286 ◽  
Author(s):  
Marion S. Rauner ◽  
Walter J. Gutjahr ◽  
Kurt Heidenberger ◽  
Joachim Wagner ◽  
Joseph Pasia
Keyword(s):  
Chronic Diseases ◽  
Pareto Optimal ◽  
Policy Modeling ◽  
Screening Strategies ◽  
Optimal Screening ◽  
Dynamic Policy

scholarly journals SARS-CoV-2 screening: effectiveness and risk of increasing transmission

2021 ◽  
Vol 18 (180) ◽  
pp. 20210164
Author(s):  
Jordan P. Skittrall
Keyword(s):  
Viral Transmission ◽  
Testing Strategy ◽  
Behavioural Interventions ◽  
Sample Handling ◽  
Test Sensitivity ◽  
Laboratory Capacity ◽  
Screening Strategies ◽  
Optimal Screening ◽  
Screening Effectiveness ◽  
Selection Of

Testing asymptomatic people for SARS-CoV-2 aims to reduce COVID-19 transmission. Screening programmes’ effectiveness depends upon testing strategy, sample handling logistics, test sensitivity and individual behaviour, in addition to dynamics of viral transmission. The interaction between these factors is not fully characterized. We investigated the interaction between these factors to determine how to optimize reduction of transmission. We estimate that under idealistic assumptions 70% of transmission may be averted, but under realistic assumptions only 7% may be averted. We show that programmes that overwhelm laboratory capacity or reduce isolation of those with minor symptoms have increased transmission compared with those that do not: programmes need to be designed to avoid these issues, or they will be ineffective or even counter-productive. Our model allows optimal selection of whom to test, quantifies the balance between accuracy and timeliness, and quantifies potential impacts of behavioural interventions. We anticipate our model can be used to understand optimal screening strategies for other infectious diseases with substantially different dynamics.

scholarly journals Optimal Screening Strategies for Healthcare Associated Infections in a Multi-Institutional Setting

2014 ◽  
Vol 10 (1) ◽  
pp. e1003407 ◽  
Author(s):  
Aaron C. Miller ◽  
Linnea A. Polgreen ◽  
Philip M. Polgreen
Keyword(s):  
Institutional Setting ◽  
Healthcare Associated Infections ◽  
Screening Strategies ◽  
Optimal Screening ◽  
Healthcare Associated

scholarly journals Congenital dislocation of the hip: Optimal screening strategies in 2014

2014 ◽  
Vol 100 (6) ◽  
pp. S339-S347 ◽  
Author(s):  
P. Wicart ◽  
A. Bocquet ◽  
N. Gelbert ◽  
G. Beley ◽  
R. Proslier ◽  
...  
Keyword(s):  
Congenital Dislocation ◽  
Screening Strategies ◽  
Optimal Screening ◽  
Dislocation Of The Hip

scholarly journals Early Screening Strategies for Diabetes Mellitus by Leveraging Dental Visits Using Optimal Screening Tools Available Onsite

Cureus ◽  
2018 ◽  
Author(s):  
Wasique Mirza ◽  
Muhammad Sabih Saleem ◽  
Gaurav Patel ◽  
Pravin Chacko ◽  
Sandhya Reddy ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Screening Tools ◽  
Early Screening ◽  
Dental Visits ◽  
Screening Strategies ◽  
Optimal Screening

229: A Co-Morbidity Adjusted Life Expectancy Tool for use in the Urology Clinic

2007 ◽  
Vol 177 (4S) ◽  
pp. 77-77
Author(s):  
Patti Groome ◽  
D. Robert Siemens ◽  
William J. MacKillop ◽  
Michael Brundage ◽  
Jun Kawakami ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Co Morbidity ◽  
Urology Clinic

395: Nomogram Predicting 10 year Life Expectancy after Radical Prostatectomy or Radiation Therapy for Prostate Cancer

2007 ◽  
Vol 177 (4S) ◽  
pp. 131-132 ◽  
Author(s):  
Jochen Wafz ◽  
Andrea Gallina ◽  
Aldo M. Bocciardi ◽  
Sascha Ahyai ◽  
Paul Perrotta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radiation Therapy ◽  
Radical Prostatectomy ◽  
Life Expectancy
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