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. 2018 Mar 30;49(1):63-72.
doi: 10.25100/cm.v49i1.3629.

Health inequities and cancer survival in Manizales, Colombia: a population-based study

Affiliations

Health inequities and cancer survival in Manizales, Colombia: a population-based study

Nelson Enrique Arias-Ortiz et al. Colomb Med (Cali). .

Abstract

Objective: To analyze differences in survival of breast, cervical, lung, prostate and stomach cancer by health insurance regime (HIR) and socioeconomic position (SEP) in an intermediate city in a middle-income country.

Methods: All patients with breast, cervix uteri, lung, prostate and stomach cancer diagnosed between 2003 and 2007 and characterized by the Manizales population-based Cancer Registry (MCR) were included and followed up to a maximum of 5 years for identifying deaths. Survival probabilities estimated by HIR were defined according to the type of affiliation at the date of diagnosis, and by socioeconomic stratification of residence (SS) as indicator of SEP, stratifying for other prognostic factors using Kaplan-Meier methods. Cox proportional hazard models were fitted for multivariate analysis.

Results: A total of 1,384 cases and 700 deaths were analyzed. Five-year observed survival was 71.0% (95% IC: 66.1-75.3) for breast, 51.4% (95% IC: 44.6-57.9) for cervix, 15.4% (95% IC: 10.7-20.8) for lung, 71.1% (95% IC: 65.3-76.1) for prostate and 23.8% (95% IC: 19.3-28.6) for stomach. Statistically significant differences in survival by HIR were observed for breast, lung, prostate, and stomach - with poorer survival for the subsidized and uninsured patients. Differences by SS were observed for lung and prostate. Differences in survival by HIR were independent of SS, and viceversa.

Conclusions: Important inequities in cancer survival exist related to HIR and SEP. Possible explanations include underlying comorbidities, late stage at diagnosis, or barriers to timely and effective treatment.

Objetivo: Analizar la supervivencia de pacientes con cáncer de mama, cuello uterino, pulmón, próstata y estómago según régimen de aseguramiento en salud (RAS) y posición socioeconómica (PSE) en una ciudad intermedia de un país de medianos ingresos.

Métodos: Se incluyeron todos los pacientes con cáncer de mama, cuello uterino, pulmón, próstata y estómago diagnosticados entre 2003 y 2007 y caracterizados por el Registro Poblacional de Cáncer de Manizales, quienes fueron seguidos hasta un máximo de cinco años para identificar los fallecimientos. Las probabilidades de supervivencia estimada según RAS fueron definidas de acuerdo con el tipo de afiliación al momento del diagnóstico, y según el estrato socioeconómico de la residencia como indicador de PSE, estratificando por otros factores pronósticos y utilizando el método de Kaplan-Meier. Para el análisis multivariado se ajustaron modelos de riesgos proporcionales de Cox.

Resultados: Se analizaron en total 1.384 casos y 700 muertes. La supervivencia observada a cinco años fue 71.0% (IC 95%: 66.1-75.3) para cáncer de mama, 51.4% (44.6-57.9) para cuello uterino, 15.4% (10.7-20.8) para pulmón, 71.1% (65.3-76.1) para próstata, y 23.8% (19.3-28.6) para estómago. Se observaron diferencias estadísticamente significativas en la supervivencia según RAS para mama, pulmón, próstata y estómago, con supervivencia más pobre en los pacientes del régimen subsidiado y no asegurados. Se observaron diferencias por estrato socioeconómico en los cánceres de pulmón y próstata. Las diferencias por RAS fueron independientes del estrato socioeconómico y viceversa.

Conclusiones: Existen importantes inequidades en la supervivencia de pacientes con cáncer relacionadas con el RAS y con la PSE. Las posibles explicaciones incluyen comorbilidades subyacentes, diagnóstico tardío y barreras para el acceso al tratamiento oportuno y efectivo.

Keywords: insurance, health; malignant neoplasms; socioeconomic factors; survival analysis.

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Conflict of interest statement

Conflict of interest: None of the authors have any conflicts of interest to be reported. The funding had no influence in study design; in the collection, analysis and interpretation of data; in the writing of the report; neither in the decision to submit the article for publication.

Figures

Figure 1
Figure 1. Observed survival by health insurance regime and cancer site. Manizales, 2003-2013. WBG: Wilcoxon-Breslow-Gehan test.
Figure 2
Figure 2. Observed survival by social strata and by cancer site. Manizales, 2003-2013. WBG: Wilcoxon-Breslow-Gehan test.
Figure 3
Figure 3. Survival proportion by clinical stage at diagnosis for breast cancer (based on 233 cases with known clinical stage) and cervix uteri cancer (based on 95 cases). Manizales, 2003-2013.
Figura 1
Figura 1. Supervivencia observada según régimen de aseguramiento en salud y localizaciones de cáncer. Manizales, 2003-2013. WBG: prueba de Wilcoxon-Breslow-Gehan.
Figura 2
Figura 2. Supervivencia observada según estrato socioeconómico y localizaciones de cáncer. Manizales, 2003-2013. WBG: prueba de Wilcoxon-Breslow-Gehan.
Figura 3
Figura 3. Proporción de supervivencia según estadio clínico al diagnóstico para cáncer de mama (basado en 233 casos con estadio clínico conocido) y para cáncer de cuello uterino (basado en 95 casos con estadio conocido). Manizales, 2003-2013.

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