Literature DB >> 24583491

The impact of insurance coverage during insurance reform on diagnostic resolution of cancer screening abnormalities.

Alok Kapoor, Tracy A Battaglia, Alexis P Isabelle, Amresh D Hanchate, Richard L Kalish, Sharon Bak, Rebecca G Mishuris, Swati M Shroff, Karen M Freund.   

Abstract

We examined the impact of Massachusetts insurance reform on the care of women at six community health centers with abnormal breast and cervical cancer screening to investigate whether stability of insurance coverage was associated with more timely diagnostic resolution. We conducted Cox proportional hazards models to predict time from cancer screening to diagnostic resolution, examining the impact of 1) insurance status at time of screening abnormality, 2) number of insurance switches over a three-year period, and 3) insurance history over a three-year period. We identified 1,165 women with breast and 781 with cervical cancer screening abnormalities. In the breast cohort, Medicaid insurance at baseline, continuous public insurance, and losing insurance predicted delayed resolution. We did not find these effects in the cervical cohort. These data provide evidence that stability of health insurance coverage with insurance reform nationally may improve timely care after abnormal cancer screening in historically underserved women.

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Year:  2014        PMID: 24583491      PMCID: PMC4319320          DOI: 10.1353/hpu.2014.0063

Source DB:  PubMed          Journal:  J Health Care Poor Underserved        ISSN: 1049-2089


  19 in total

Review 1.  Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part 2: Regression modeling.

Authors:  J P Klein; J D Rizzo; M J Zhang; N Keiding
Journal:  Bone Marrow Transplant       Date:  2001-12       Impact factor: 5.483

2.  Lack of health insurance and decline in overall health in late middle age.

Authors:  D W Baker; J J Sudano; J M Albert; E A Borawski; A Dor
Journal:  N Engl J Med       Date:  2001-10-11       Impact factor: 91.245

3.  What happens to racial and ethnic minorities after cancer surgery at American College of Surgeons National Surgical Quality Improvement Program hospitals?

Authors:  Helen M Parsons; Elizabeth B Habermann; Steven C Stain; Selwyn M Vickers; Waddah B Al-Refaie
Journal:  J Am Coll Surg       Date:  2012-02-08       Impact factor: 6.113

4.  Creation of state basic health programs would lead to 4 percent fewer people churning between Medicaid and exchanges.

Authors:  Ann Hwang; Sara Rosenbaum; Benjamin D Sommers
Journal:  Health Aff (Millwood)       Date:  2012-06       Impact factor: 6.301

Review 5.  The causal effect of health insurance on utilization and outcomes in adults: a systematic review of US studies.

Authors:  Joseph D Freeman; Srikanth Kadiyala; Janice F Bell; Diane P Martin
Journal:  Med Care       Date:  2008-10       Impact factor: 2.983

6.  Association between insurance gaps and continued antihypertension medication usage in a US national representative population.

Authors:  Yunwei Gai; Ning Yan Gu
Journal:  Am J Hypertens       Date:  2009-09-24       Impact factor: 2.689

7.  Loss of health insurance and the risk for a decline in self-reported health and physical functioning.

Authors:  David W Baker; Joseph J Sudano; Jeffrey M Albert; Elaine A Borawski; Avi Dor
Journal:  Med Care       Date:  2002-11       Impact factor: 2.983

8.  Effect on survival of longer intervals between confirmed diagnosis and treatment initiation among low-income women with breast cancer.

Authors:  John M McLaughlin; Roger T Anderson; Amy K Ferketich; Eric E Seiber; Rajesh Balkrishnan; Electra D Paskett
Journal:  J Clin Oncol       Date:  2012-11-19       Impact factor: 44.544

9.  Boston Patient Navigation Research Program: the impact of navigation on time to diagnostic resolution after abnormal cancer screening.

Authors:  Tracy A Battaglia; Sharon M Bak; Timothy Heeren; Clara A Chen; Richard Kalish; Stephen Tringale; James O Taylor; Barbara Lottero; A Patrick Egan; Nisha Thakrar; Karen M Freund
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10       Impact factor: 4.254

10.  Disruptions in insurance coverage: patterns and relationship to health care access, unmet need, and utilization before enrollment in the State Children's Health Insurance Program.

Authors:  Steven G Federico; John F Steiner; Brenda Beaty; Lori Crane; Allison Kempe
Journal:  Pediatrics       Date:  2007-10       Impact factor: 7.124

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  5 in total

1.  Racial Differences in Insurance Stability After Health Insurance Reform.

Authors:  Karen M Freund; Amy LeClair; Norma Terrin; Amresh D Hanchate; Lori Lyn Price; Alejandro Moreno-Koehler; Jill Suzukida; Sucharita Kher; Elena Byhoff; Nancy R Kressin
Journal:  Med Care       Date:  2019-04       Impact factor: 2.983

2.  Hepatitis B screening among Chinese Americans: a structural equation modeling analysis.

Authors:  Grace X Ma; Guo Yolanda Zhang; Shumenghui Zhai; Xiang Ma; Yin Tan; Steven E Shive; Min Qi Wang
Journal:  BMC Infect Dis       Date:  2015-03-08       Impact factor: 3.090

3.  Wealth stratified inequalities in service utilisation of breast cancer screening across the geographical regions: a pooled decomposition analysis.

Authors:  Rashidul Alam Mahumud; Khorshed Alam; Syed Afroz Keramat; Andre M N Renzaho; Md Golam Hossain; Rezwanul Haque; Gail M Ormsby; Jeff Dunn; Jeff Gow
Journal:  Arch Public Health       Date:  2020-06-10

4.  Is insurance instability associated with hypertension outcomes and does this vary by race/ethnicity?

Authors:  Nancy R Kressin; Norma Terrin; Amresh D Hanchate; Lori Lyn Price; Alejandro Moreno-Koehler; Amy LeClair; Jillian Suzukida; Sucharita Kher; Karen M Freund
Journal:  BMC Health Serv Res       Date:  2020-03-16       Impact factor: 2.655

5.  Impact of prior underinsurance on cervical cancer screening among Davidson County, Tennessee, women diagnosed with invasive cervical cancer, 2008-2018.

Authors:  Emmanuel N S Sackey; Manideepthi Pemmaraju; Marie R Griffin; Jessica L Castilho
Journal:  BMC Womens Health       Date:  2022-03-12       Impact factor: 2.809

  5 in total

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