Literature DB >> 26414147

Inefficiencies and High-Value Improvements in U.S. Cervical Cancer Screening Practice: A Cost-Effectiveness Analysis.

Jane J Kim, Nicole G Campos, Stephen Sy, Emily A Burger, Jack Cuzick, Philip E Castle, William C Hunt, Alan Waxman, Cosette M Wheeler.   

Abstract

BACKGROUND: Studies suggest that cervical cancer screening practice in the United States is inefficient. The cost and health implications of nonadherence in the screening process compared with recommended guidelines are uncertain.
OBJECTIVE: To estimate the benefits, costs, and cost-effectiveness of current cervical cancer screening practice and assess the value of screening improvements.
DESIGN: Model-based cost-effectiveness analysis. DATA SOURCES: New Mexico HPV Pap Registry; medical literature. TARGET POPULATION: Cohort of women eligible for routine screening. TIME HORIZON: Lifetime. PERSPECTIVE: Societal. INTERVENTION: Current cervical cancer screening practice; improved adherence to guidelines-based screening interval, triage testing, diagnostic referrals, and precancer treatment referrals. OUTCOME MEASURES: Reductions in lifetime cervical cancer risk, quality-adjusted life-years (QALYs), lifetime costs, incremental cost-effectiveness ratios, and incremental net monetary benefits (INMBs). RESULTS OF BASE-CASE ANALYSIS: Current screening practice was associated with lower health benefit and was not cost-effective relative to guidelines-based strategies. Improvements in the screening process were associated with higher QALYs and small changes in costs. Perfect adherence to screening every 3 years with cytologic testing and adherence to colposcopy/biopsy referrals were associated with the highest INMBs ($759 and $741, respectively, at a willingness-to-pay threshold of $100,000 per QALY gained); together, the INMB increased to $1645. RESULTS OF SENSITIVITY ANALYSIS: Current screening practice was inefficient in 100% of simulations. The rank ordering of screening improvements according to INMBs was stable over a range of screening inputs and willingness-to-pay thresholds. LIMITATION: The effect of human papillomavirus vaccination was not considered.
CONCLUSIONS: The added health benefit of improving adherence to guidelines, especially the 3-year interval for cytologic screening and diagnostic follow-up, may justify additional investments in interventions to improve U.S. cervical cancer screening practice. PRIMARY FUNDING SOURCE: U.S. National Cancer Institute.

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Mesh:

Year:  2015        PMID: 26414147      PMCID: PMC5104349          DOI: 10.7326/M15-0420

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  31 in total

Review 1.  The disparity of cervical cancer in diverse populations.

Authors:  Levi S Downs; Jennifer S Smith; Isabel Scarinci; Lisa Flowers; Groesbeck Parham
Journal:  Gynecol Oncol       Date:  2008-05       Impact factor: 5.482

2.  2012 updated consensus guidelines for the management of abnormal cervical cancer screening tests and cancer precursors.

Authors:  L Stewart Massad; Mark H Einstein; Warner K Huh; Hormuzd A Katki; Walter K Kinney; Mark Schiffman; Diane Solomon; Nicolas Wentzensen; Herschel W Lawson
Journal:  J Low Genit Tract Dis       Date:  2013-04       Impact factor: 1.925

3.  Impact of HPV testing, HPV vaccine development, and changing screening frequency on national Pap test volume: projections from the National Health Interview Survey (NHIS).

Authors:  Isam A Eltoum; Janie Roberson
Journal:  Cancer       Date:  2007-02-25       Impact factor: 6.860

4.  Incidence, duration, and determinants of cervical human papillomavirus infection in a cohort of Colombian women with normal cytological results.

Authors:  Nubia Muñoz; Fabián Méndez; Héctor Posso; Mónica Molano; Adrian J C van den Brule; Margarita Ronderos; Chris Meijer; Alvaro Muñoz
Journal:  J Infect Dis       Date:  2004-11-22       Impact factor: 5.226

5.  An updated natural history model of cervical cancer: derivation of model parameters.

Authors:  Nicole G Campos; Emily A Burger; Stephen Sy; Monisha Sharma; Mark Schiffman; Ana Cecilia Rodriguez; Allan Hildesheim; Rolando Herrero; Jane J Kim
Journal:  Am J Epidemiol       Date:  2014-07-31       Impact factor: 4.897

6.  Natural history of cervical neoplasia and risk of invasive cancer in women with cervical intraepithelial neoplasia 3: a retrospective cohort study.

Authors:  Margaret R E McCredie; Katrina J Sharples; Charlotte Paul; Judith Baranyai; Gabriele Medley; Ronald W Jones; David C G Skegg
Journal:  Lancet Oncol       Date:  2008-04-11       Impact factor: 41.316

7.  Estimates of the annual direct medical costs of the prevention and treatment of disease associated with human papillomavirus in the United States.

Authors:  Harrell W Chesson; Donatus U Ekwueme; Mona Saraiya; Meg Watson; Douglas R Lowy; Lauri E Markowitz
Journal:  Vaccine       Date:  2012-08-04       Impact factor: 3.641

8.  Rationale and design of a community-based double-blind randomized clinical trial of an HPV 16 and 18 vaccine in Guanacaste, Costa Rica.

Authors:  Rolando Herrero; Allan Hildesheim; Ana C Rodríguez; Sholom Wacholder; Concepción Bratti; Diane Solomon; Paula González; Carolina Porras; Silvia Jiménez; Diego Guillen; Jorge Morales; Mario Alfaro; Jean Cyr; Kerrygrace Morrisey; Yenory Estrada; Bernal Cortés; Lidia Ana Morera; Enrique Freer; John Schussler; John Schiller; Douglas Lowy; Mark Schiffman
Journal:  Vaccine       Date:  2008-07-18       Impact factor: 3.641

9.  Multiparameter calibration of a natural history model of cervical cancer.

Authors:  Jane J Kim; Karen M Kuntz; Natasha K Stout; Salaheddin Mahmud; Luisa L Villa; Eduardo L Franco; Sue J Goldie
Journal:  Am J Epidemiol       Date:  2007-05-25       Impact factor: 4.897

10.  Efficacy of HPV-based screening for prevention of invasive cervical cancer: follow-up of four European randomised controlled trials.

Authors:  Guglielmo Ronco; Joakim Dillner; K Miriam Elfström; Sara Tunesi; Peter J F Snijders; Marc Arbyn; Henry Kitchener; Nereo Segnan; Clare Gilham; Paolo Giorgi-Rossi; Johannes Berkhof; Julian Peto; Chris J L M Meijer
Journal:  Lancet       Date:  2013-11-03       Impact factor: 79.321

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  30 in total

1.  Excess Cost of Cervical Cancer Screening Beyond Recommended Screening Ages or After Hysterectomy in a Single Institution.

Authors:  Deanna Teoh; Gretchen Hultman; McKenzie DeKam; Rachel Isaksson Vogel; Levi S Downs; Melissa A Geller; Chap Le; Genevieve Melton; Shalini Kulasingam
Journal:  J Low Genit Tract Dis       Date:  2018-07       Impact factor: 1.925

2.  Cervical Cancer Mortality in Younger Women.

Authors:  Ping Zhou; Danni Chen; Lizheng Shi
Journal:  J Gen Intern Med       Date:  2020-02       Impact factor: 5.128

3.  The Complexity of Achieving the Promise of Precision Breast Cancer Screening.

Authors:  Jennifer S Haas
Journal:  J Natl Cancer Inst       Date:  2017-01-27       Impact factor: 13.506

4.  Health Service Accessibility and Risk in Cervical Cancer Prevention: Comparing Rural Versus Nonrural Residence in New Mexico.

Authors:  Yolanda J McDonald; Daniel W Goldberg; Isabel C Scarinci; Philip E Castle; Jack Cuzick; Michael Robertson; Cosette M Wheeler
Journal:  J Rural Health       Date:  2016-08-24       Impact factor: 4.333

5.  Inefficiencies of over-screening and under-screening for cervical cancer prevention in the U.S.

Authors:  Philip E Castle; Cosette M Wheeler; Nicole G Campos; Stephen Sy; Emily A Burger; Jane J Kim
Journal:  Prev Med       Date:  2018-03-14       Impact factor: 4.018

6.  Optimal Cervical Cancer Screening in Women Vaccinated Against Human Papillomavirus.

Authors:  Jane J Kim; Emily A Burger; Stephen Sy; Nicole G Campos
Journal:  J Natl Cancer Inst       Date:  2016-10-18       Impact factor: 13.506

7.  Effect of Time to Diagnostic Testing for Breast, Cervical, and Colorectal Cancer Screening Abnormalities on Screening Efficacy: A Modeling Study.

Authors:  Carolyn M Rutter; Jane J Kim; Reinier G S Meester; Brian L Sprague; Emily A Burger; Ann G Zauber; Mehmet Ali Ergun; Nicole G Campos; Chyke A Doubeni; Amy Trentham-Dietz; Stephen Sy; Oguzhan Alagoz; Natasha Stout; Iris Lansdorp-Vogelaar; Douglas A Corley; Anna N A Tosteson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-11-17       Impact factor: 4.254

8.  Cancer Models and Real-world Data: Better Together.

Authors:  Jane J Kim; Anna Na Tosteson; Ann G Zauber; Brian L Sprague; Natasha K Stout; Oguzhan Alagoz; Amy Trentham-Dietz; Katrina Armstrong; Sandi L Pruitt; Carolyn M Rutter
Journal:  J Natl Cancer Inst       Date:  2015-11-03       Impact factor: 13.506

9.  Risk-Targeted Lung Cancer Screening: A Cost-Effectiveness Analysis.

Authors:  Vaibhav Kumar; Joshua T Cohen; David van Klaveren; Djøra I Soeteman; John B Wong; Peter J Neumann; David M Kent
Journal:  Ann Intern Med       Date:  2018-01-02       Impact factor: 25.391

10.  Projected time to elimination of cervical cancer in the USA: a comparative modelling study.

Authors:  Emily A Burger; Megan A Smith; James Killen; Stephen Sy; Kate T Simms; Karen Canfell; Jane J Kim
Journal:  Lancet Public Health       Date:  2020-02-10
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