Literature DB >> 23621746

The impact of a culturally tailored patient navigator program on cervical cancer prevention in Latina women.

Sanja Percac-Lima1, Carly S Benner, Raymond Lui, Leslie S Aldrich, Sarah A Oo, Nessa Regan, Bruce A Chabner.   

Abstract

BACKGROUND: Cervical cancer disproportionately affects Latina women in the United States. This study evaluated the impact of patient navigation on cervical cancer prevention in Latinas.
METHODS: Between January 2004 and April 2011, 533 Latina women with an abnormal Pap smear requiring colposcopy received patient navigation from their healthcare center in Chelsea, Massachusetts, to the Massachusetts General Hospital (MGH). The comparison group comprised 253 non-navigated Latinas from other primary care practices at MGH referred to the same MGH colposcopy clinic. Primary outcomes were the percentage of missed colposcopy appointments, time to colposcopy, and changes in the severity of cervical pathology at colposcopy over two time periods, 2004-2007 and 2008-2011.
RESULTS: The mean age in both groups was 35 years (range 22-86). Navigated women had fewer missed colposcopy appointments over time, with the average falling from 19.8% to 15.7% (p=0.024), compared with an insignificant increase in the no-show rates from 18.6% to 20.6% (p=0.454) in the comparison group. The difference in the no-show rate trend over time between the groups was significant (p<0.001). The time to colposcopy did not change in either group, though trends over time demonstrated a shorter follow-up for navigated women (p=0.010). The grade of cervical abnormality among navigated women decreased from a numerical score of 2.03 to 1.83 (p=0.035) over the two time intervals, while the severity of pathological score in the non-navigated group did not change significantly from 1.83 to 1.92 (p=0.573) in the same interval. Comparison of trends in pathological score over time showed a decrease in the severity of cervical abnormality for navigated participants compared to the non-navigated group (p<0.001).
CONCLUSION: Patient navigation can prevent cervical cancer in Latina women by increasing colposcopy clinic attendance, shortening time to colposcopy, and decreasing severity of cervical abnormalities over time.

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Mesh:

Year:  2013        PMID: 23621746      PMCID: PMC3941919          DOI: 10.1089/jwh.2012.3900

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  31 in total

Review 1.  The Pap test: George N. Papanicolaou (1883-1962). A screening test for the prevention of cancer of uterine cervix.

Authors:  S P Michalas
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2000-06       Impact factor: 2.435

2.  Improving follow-up after an abnormal pap smear: results from a quasi-experimental intervention study.

Authors:  C P Kaplan; R Bastani; T R Belin; A Marcus; K Nasseri; M Y Hu
Journal:  J Womens Health Gend Based Med       Date:  2000-09

3.  American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology screening guidelines for the prevention and early detection of cervical cancer.

Authors:  Debbie Saslow; Diane Solomon; Herschel W Lawson; Maureen Killackey; Shalini L Kulasingam; Joanna Cain; Francisco A R Garcia; Ann T Moriarty; Alan G Waxman; David C Wilbur; Nicolas Wentzensen; Levi S Downs; Mark Spitzer; Anna-Barbara Moscicki; Eduardo L Franco; Mark H Stoler; Mark Schiffman; Philip E Castle; Evan R Myers
Journal:  CA Cancer J Clin       Date:  2012-03-14       Impact factor: 508.702

Review 4.  Adherence to care plan in women with abnormal Papanicolaou smears: a review of barriers and interventions.

Authors:  N Khanna; M D Phillips
Journal:  J Am Board Fam Pract       Date:  2001 Mar-Apr

5.  Case management intervention in cervical cancer prevention: the Boston REACH coalition women's health demonstration project.

Authors:  Cheryl R Clark; Nashira Baril; Angela Hall; Marycarmen Kunicki; Natacha Johnson; Jane Soukup; Stuart Lipsitz; Judyann Bigby
Journal:  Prog Community Health Partnersh       Date:  2011

6.  Predictors of follow-up of atypical and ASCUS papanicolaou tests in a high-risk population.

Authors:  M D McKee; C Schechter; W Burton; M Mulvihill
Journal:  J Fam Pract       Date:  2001-07       Impact factor: 0.493

Review 7.  History and principles of patient navigation.

Authors:  Harold P Freeman; Rian L Rodriguez
Journal:  Cancer       Date:  2011-08       Impact factor: 6.860

Review 8.  The 2001 Bethesda System: terminology for reporting results of cervical cytology.

Authors:  Diane Solomon; Diane Davey; Robert Kurman; Ann Moriarty; Dennis O'Connor; Marianne Prey; Stephen Raab; Mark Sherman; David Wilbur; Thomas Wright; Nancy Young
Journal:  JAMA       Date:  2002-04-24       Impact factor: 56.272

9.  Cancer statistics for Hispanics/Latinos, 2012.

Authors:  Rebecca Siegel; Deepa Naishadham; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2012 Sep-Oct       Impact factor: 508.702

10.  Low-income minority women at risk for cervical cancer: a process to improve adherence to follow-up recommendations.

Authors:  V A Cardin; R M Grimes; Z D Jiang; N Pomeroy; L Harrell; P Cano
Journal:  Public Health Rep       Date:  2001 Nov-Dec       Impact factor: 2.792

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  17 in total

1.  Timeliness of Colonoscopy After Abnormal Fecal Test Results in a Safety Net Practice.

Authors:  Ann Oluloro; Amanda F Petrik; Ann Turner; Tanya Kapka; Jennifer Rivelli; Patricia A Carney; Somnath Saha; Gloria D Coronado
Journal:  J Community Health       Date:  2016-08

Review 2.  Increasing Cervical Cancer Screening Among US Hispanics/Latinas: A Qualitative Systematic Review.

Authors:  Lilli Mann; Kristie L Foley; Amanda E Tanner; Christina J Sun; Scott D Rhodes
Journal:  J Cancer Educ       Date:  2015-06       Impact factor: 2.037

3.  Predictors of adherence to follow-up recommendations after an abnormal Pap smear among underserved inner-city women.

Authors:  Suzanne M Miller; Erin K Tagai; Kuang-Yi Wen; Minsun Lee; Siu-Kuen Azor Hui; Deirdre Kurtz; John Scarpato; Enrique Hernandez
Journal:  Patient Educ Couns       Date:  2017-01-31

4.  Unlicensed Health Care Personnel and Patient Outcomes.

Authors:  Thomas Bodenheimer
Journal:  J Gen Intern Med       Date:  2015-07       Impact factor: 5.128

5.  Use of maternal health services: comparing refugee, immigrant and US-born populations.

Authors:  Katherine Kentoffio; Seth A Berkowitz; Steven J Atlas; Sarah A Oo; Sanja Percac-Lima
Journal:  Matern Child Health J       Date:  2016-12

6.  Sexual Orientation Disparities in Preconception Health.

Authors:  Aubrey Limburg; Bethany G Everett; Stefanie Mollborn; Michelle A Kominiarek
Journal:  J Womens Health (Larchmt)       Date:  2020-02-27       Impact factor: 2.681

7.  Impact of Patient Navigation Interventions on Timely Diagnostic Follow Up for Abnormal Cervical Screening.

Authors:  Electra D Paskett; Donald Dudley; Gregory S Young; Brittany M Bernardo; Kristen J Wells; Elizabeth A Calhoun; Kevin Fiscella; Steven R Patierno; Victoria Warren-Mears; Tracy A Battaglia
Journal:  J Womens Health (Larchmt)       Date:  2015-12-01       Impact factor: 2.681

Review 8.  Training in Patient Navigation: A Review of the Research Literature.

Authors:  Amy E Ustjanauskas; Marissa Bredice; Sumayah Nuhaily; Lisa Kath; Kristen J Wells
Journal:  Health Promot Pract       Date:  2015-12-08

Review 9.  Is Theory Guiding Our Work? A Scoping Review on the Use of Implementation Theories, Frameworks, and Models to Bring Community Health Workers into Health Care Settings.

Authors:  Caitlin G Allen; Colleen Barbero; Sharada Shantharam; Refilwe Moeti
Journal:  J Public Health Manag Pract       Date:  2019 Nov/Dec

10.  Addressing Unmet Basic Needs to Improve Colposcopy Adherence Among Women With Abnormal Cervical Cancer Screening.

Authors:  Lindsay Kuroki; L Stewart Massad; Anne Martin; Jingxia Liu; Dominique Brown; Andrea Leon; Kathleen Groesch; Teresa Wilson; Yahia Zeino; Paula Diaz-Sylvester; Kristin Delfino; Katherine Hyon; Matthew Kreuter
Journal:  J Low Genit Tract Dis       Date:  2021-04-01       Impact factor: 3.842

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