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Spatial analysis of adherence to treatment guidelines for advanced-stage ovarian cancer and the impact of race and socioeconomic status

doi: 10.1016/j.ygyno.2014.03.561. Epub 2014 Mar 25. Spatial analysis of adherence to treatment guidelines for advanced-stage ovarian cancer and the impact of race and socioeconomic status

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Spatial analysis of adherence to treatment guidelines for advanced-stage ovarian cancer and the impact of race and socioeconomic status

Robert E Bristow et al. Gynecol Oncol. 2014 Jul.

doi: 10.1016/j.ygyno.2014.03.561. Epub 2014 Mar 25. Affiliations

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Abstract

Objective: To determine the impact of geographic location on advanced-stage ovarian cancer care adherence to the National Comprehensive Cancer Network (NCCN) guidelines in relation to race and socioeconomic status (SES).

Methods: Patients diagnosed with stage IIIC/IV epithelial ovarian cancer (1/1/96-12/31/06) were identified from the California Cancer Registry. Generalized additive models were created to assess the effect of spatial distributions of geographic location, proximity to a high-volume hospital (≥20 cases/year), distance traveled to receive care, race, and SES on adherence to NCCN guidelines, with simultaneous smoothing of geographic location and adjustment for confounding variables. Disparities in geographic predictors of treatment adherence were analyzed with the x(2) test for equality of proportions.

Results: Of the 11,770 patients identified, 45.4% were treated according to NCCN guidelines. Black race (OR=1.49, 95%CI=1.21-1.83), low-SES (OR=1.46, 95%CI=1.24-1.72), and geographic location ≥80 km/50 mi from a high-volume hospital (OR=1.88, 95%CI=1.61-2.19) were independently associated with an increased risk of non-adherent care, while high-volume hospital treatment (OR=0.59, 95%CI=0.53-0.66) and travel distance to receive care ≥32 km/20 mi (OR=0.80, 95%CI=0.69-0.92) were independently protective. SES was inversely associated with location ≥80 km/50 mi from a high-volume hospital, ranging from 6.3% (high-SES) to 33.0% (low-SES) (p<0.0001). White patients were significantly more likely to travel ≥32 km/20 mi to receive care (21.8%) compared to Blacks (14.4%), Hispanics (15.9%), and Asian/Pacific Islanders (15.5%) (p<0.0001).

Conclusion: Geographic proximity to a high-volume hospital and travel distance to receive treatment are independently associated with NCCN guideline adherent care for advanced-stage ovarian cancer. Geographic barriers to standard ovarian cancer treatment disproportionately affect racial minorities and women of low-SES.

Keywords: Geographic location; Ovarian cancer; Treatment guidelines.

Copyright © 2014 Elsevier Inc. All rights reserved.

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Figures

Figure 1

(A) Geographic distribution of 11,770…

Figure 1

(A) Geographic distribution of 11,770 cases of stage IIIC/IV epithelial ovarian cancer stratified…

Figure 1

(A) Geographic distribution of 11,770 cases of stage IIIC/IV epithelial ovarian cancer stratified by adherence and non-adherence to NCCN treatment guidelines for advanced-stage ovarian cancer; (B) Geographic distribution of hospitals stratified by high-volume (n=12) and low-volume hospital (n=366).

Figure 1

(A) Geographic distribution of 11,770…

Figure 1

(A) Geographic distribution of 11,770 cases of stage IIIC/IV epithelial ovarian cancer stratified…

Figure 1

(A) Geographic distribution of 11,770 cases of stage IIIC/IV epithelial ovarian cancer stratified by adherence and non-adherence to NCCN treatment guidelines for advanced-stage ovarian cancer; (B) Geographic distribution of hospitals stratified by high-volume (n=12) and low-volume hospital (n=366).

Figure 2

Effect of geographic location on…

Figure 2

Effect of geographic location on risk of non-adherence to NCCN treatment guidelines.

Figure 2

Effect of geographic location on risk of non-adherence to NCCN treatment guidelines.

Figure 3

Radar plot: proportional distribution of…

Figure 3

Radar plot: proportional distribution of subject location and distance to receive care quintile…

Figure 3

Radar plot: proportional distribution of subject location and distance to receive care quintile stratified by race (A) and SES category (B). API: Asian/Pacific Islander

Figure 3

Radar plot: proportional distribution of…

Figure 3

Radar plot: proportional distribution of subject location and distance to receive care quintile…

Figure 3

Radar plot: proportional distribution of subject location and distance to receive care quintile stratified by race (A) and SES category (B). API: Asian/Pacific Islander

Figure 4

Radar plot: proportional distribution of…

Figure 4

Radar plot: proportional distribution of subject location and distance from a high-volume hospital…

Figure 4

Radar plot: proportional distribution of subject location and distance from a high-volume hospital quintile stratified by race (A) and SES (B). API: Asian/Pacific Islander

Figure 4

Radar plot: proportional distribution of…

Figure 4

Radar plot: proportional distribution of subject location and distance from a high-volume hospital…

Figure 4

Radar plot: proportional distribution of subject location and distance from a high-volume hospital quintile stratified by race (A) and SES (B). API: Asian/Pacific Islander

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    1. Siegel R, Naishadham D, Jemal A. Cancer statistics 2013. CA Cancer J Clin. 2013;63:11–30. - PubMed
    1. Bristow RE, Chang J, Ziogas A, et al. Adherence to treatment guidelines for ovarian cancer as a measure of quality care. Obstet Gynecol. 2013;121:1226–1234. - PubMed
    1. Read C, Elit L. Trends in gynecologic cancer care in North America. Obstet Gynecol Clin North Am. 2012;39:107–29. - PubMed
    1. Bristow RE, Powell MA, Al-Hammadi N, et al. Disparities in ovarian cancer care quality and survival according to race and socioeconomic status. J Natl Cancer Inst. 2013;105:823–832. - PMC - PubMed
    1. Harlan LC, Greene AL, Clegg LX, et al. Insurance status and the use for guideline therapy in the treatment of selected cancers. J Clin Oncol. 2005;23:9079–9088. - PubMed

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