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Cited by 119Cutaneous Melanoma Detection and ManagementGlobal Cancer Incidence and ScreeningHealth disparities and outcomes

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Distance to Diagnosing Provider as a Measure of Access for Patients With Melanoma

Open access
Stitzenberg, Karyn B., Thomas, Nancy E., Dalton, Kathleen, Brier, Sarah E., Ollila, David W., Berwick, Marianne, Mattingly, Dianne, Millikan, Robert C.·2007·Archives of Dermatology
DOI 10.1001/archderm.143.8.991PMC PMC3629703
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Abstract

OBJECTIVE: To examine the effect of travel distance and other sociodemographic factors on access to a diagnosing provider for patients with melanoma. DESIGN: Analysis was performed of all incident cases of melanoma in 2000 from 42 North Carolina counties. SETTING: Academic research. PARTICIPANTS: Patients and providers from 42 North Carolina counties were geocoded to street address. MAIN OUTCOME MEASURES: Associations between Breslow thickness and clinical and sociodemographic factors (age, sex, poverty rate, rurality, provider supply, and distance to diagnosing provider) were examined. RESULTS: Of 643 eligible cases, 4.4% were excluded because of missing data. The median Breslow thickness was 0.6 mm (range, 0.1-20.0 mm). The median distance to diagnosing provider was 8 miles (range, 0-386 miles). For each 1-mile increase in distance, Breslow thickness increased by 0.6% (P =.003). For each 1% increase in poverty rate, Breslow thickness increased by 1% (P =.04). Breslow thickness was 19% greater for patients aged 51 to 80 years than for those aged 0 to 50 years (P =.02) and was 109% greater for patients older than 80 years than for those aged 0 to 50 years (P < .001). Sex, rurality, and supply of dermatologists were not associated with Breslow thickness. CONCLUSIONS: For patients with melanoma, distance to the diagnosing provider is a meaningful measure of access that captures different information than community-level measures of rurality, provider supply, and socioeconomic status. Future work should be targeted at identifying factors that may affect distance to diagnosing provider and serve as barriers to melanoma care.

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Metadata

Authors
Stitzenberg, K. B., Thomas, N. E., Dalton, K., Brier, S. E., Ollila, D. W., Berwick, M., Mattingly, D., & Millikan, R. C.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • University of New Mexico (US)
ORCID
Venue
Archives of Dermatology
Publisher
American Medical Association (AMA)
Published
2007-08-01
Volume
143
Issue
8
Pages
991-8
ISSN
0003-987X (ISSN-L)
DOI
10.1001/archderm.143.8.991
PMC
PMC3629703
OpenAlex
W2054994397
Cited by
119
References
36
Citations by year
2026: 12 · 2025: 7 · 2024: 10 · 2023: 9 · 2022: 10 · 2021: 13 · 2020: 8 · 2019: 7 · 2018: 8 · 2017: 5 · 2016: 5 · 2015: 2 · 2014: 4 · 2013: 1 · 2012: 4
FWCI
1.68
Type
journal article
Language
en
Open access
Locations
  • Archives of Dermatology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Agency for Healthcare Research and Quality (T32HS000032, T32-HS00032)
  • National Cancer Institute (K07CA102096, R01CA112243, U01CA083180)
Topics
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
  • Social Sciences › Health › Health disparities and outcomes
Keywords
melanoma, health care access, travel distance, Breslow thickness, sociodemographic factors, poverty, age, rurality, health disparities, North Carolina
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Child, Female, Health Services Accessibility, Humans, Male, Melanoma, Middle Aged, Neoplasm Staging, North Carolina, Retrospective Studies, Skin Neoplasms, Socioeconomic Factors, Incidence, Linear Models, Databases, Factual

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