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Impact of primary care provider density on detection and diagnosis of cutaneous melanoma

INTRODUCTION: Early diagnosis of cutaneous melanoma is critical in preventing melanoma-associated deaths, but the role of primary care providers (PCPs) in diagnosing melanoma is underexplored. We aimed to explore the association of PCP density with melanoma incidence and mortality. METHODS: All case...

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Autores principales: Fleming, Nathaniel H., Grade, Madeline M., Bendavid, Eran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044519/
https://www.ncbi.nlm.nih.gov/pubmed/30005065
http://dx.doi.org/10.1371/journal.pone.0200097
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author Fleming, Nathaniel H.
Grade, Madeline M.
Bendavid, Eran
author_facet Fleming, Nathaniel H.
Grade, Madeline M.
Bendavid, Eran
author_sort Fleming, Nathaniel H.
collection PubMed
description INTRODUCTION: Early diagnosis of cutaneous melanoma is critical in preventing melanoma-associated deaths, but the role of primary care providers (PCPs) in diagnosing melanoma is underexplored. We aimed to explore the association of PCP density with melanoma incidence and mortality. METHODS: All cases of cutaneous melanoma diagnosed in the United States from 2008–2012 and reported in the Surveillance, Epidemiology, and End Results (SEER) database were analyzed in 2016. County-level primary care physician density was obtained from the Area Health Resources File (AHRF). We conducted multivariate linear regression using 1) average annual melanoma incidence or 2) average annual melanoma mortality by county as primary outcomes, adjusting for demographic confounders and dermatologist density. Cox proportional hazard regression was conducted using individual outcome data from SEER with the same covariates. RESULTS: Across 611 counties, 167,305 cases of melanoma were analyzed. Per 100,000 people, an additional 10 PCPs per county was associated with 1.62 additional cases of melanoma per year (95% CI 1.06–2.18, p<0.001). This increased incidence occurred disproportionally in early-stage melanoma (Stage 0: 0.69 cases (0.38–1.00), p<0.001; Stage I: 0.63 cases (0.37–0.89), p<0.001; Stage II: 0.11 cases (0.03–0.19), p = 0.005). There was no statistically significant association between PCP density and incidence of stage III or IV melanoma, or with melanoma-specific mortality. Survival analysis demonstrated elimination of 5-year post-diagnosis mortality risk in medically underserved counties after adjusting for stage. CONCLUSIONS: Higher densities of PCPs may be linked to increased diagnosis of early-stage melanoma without corresponding decreases in late-stage diagnoses or melanoma-associated mortality.
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spelling pubmed-60445192018-07-26 Impact of primary care provider density on detection and diagnosis of cutaneous melanoma Fleming, Nathaniel H. Grade, Madeline M. Bendavid, Eran PLoS One Research Article INTRODUCTION: Early diagnosis of cutaneous melanoma is critical in preventing melanoma-associated deaths, but the role of primary care providers (PCPs) in diagnosing melanoma is underexplored. We aimed to explore the association of PCP density with melanoma incidence and mortality. METHODS: All cases of cutaneous melanoma diagnosed in the United States from 2008–2012 and reported in the Surveillance, Epidemiology, and End Results (SEER) database were analyzed in 2016. County-level primary care physician density was obtained from the Area Health Resources File (AHRF). We conducted multivariate linear regression using 1) average annual melanoma incidence or 2) average annual melanoma mortality by county as primary outcomes, adjusting for demographic confounders and dermatologist density. Cox proportional hazard regression was conducted using individual outcome data from SEER with the same covariates. RESULTS: Across 611 counties, 167,305 cases of melanoma were analyzed. Per 100,000 people, an additional 10 PCPs per county was associated with 1.62 additional cases of melanoma per year (95% CI 1.06–2.18, p<0.001). This increased incidence occurred disproportionally in early-stage melanoma (Stage 0: 0.69 cases (0.38–1.00), p<0.001; Stage I: 0.63 cases (0.37–0.89), p<0.001; Stage II: 0.11 cases (0.03–0.19), p = 0.005). There was no statistically significant association between PCP density and incidence of stage III or IV melanoma, or with melanoma-specific mortality. Survival analysis demonstrated elimination of 5-year post-diagnosis mortality risk in medically underserved counties after adjusting for stage. CONCLUSIONS: Higher densities of PCPs may be linked to increased diagnosis of early-stage melanoma without corresponding decreases in late-stage diagnoses or melanoma-associated mortality. Public Library of Science 2018-07-13 /pmc/articles/PMC6044519/ /pubmed/30005065 http://dx.doi.org/10.1371/journal.pone.0200097 Text en © 2018 Fleming et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fleming, Nathaniel H.
Grade, Madeline M.
Bendavid, Eran
Impact of primary care provider density on detection and diagnosis of cutaneous melanoma
title Impact of primary care provider density on detection and diagnosis of cutaneous melanoma
title_full Impact of primary care provider density on detection and diagnosis of cutaneous melanoma
title_fullStr Impact of primary care provider density on detection and diagnosis of cutaneous melanoma
title_full_unstemmed Impact of primary care provider density on detection and diagnosis of cutaneous melanoma
title_short Impact of primary care provider density on detection and diagnosis of cutaneous melanoma
title_sort impact of primary care provider density on detection and diagnosis of cutaneous melanoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044519/
https://www.ncbi.nlm.nih.gov/pubmed/30005065
http://dx.doi.org/10.1371/journal.pone.0200097
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