Evidence map›Paper›PMID 31520673›Full record

ArticlePreventive medicine2019

Multilevel analysis in rural cancer control: A conceptual framework and methodological implications.

Whitney E Zahnd, Sara L McLafferty, Jan M Eberth

Abstract read
In one paragraph

Article in Preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Trial
  2. Disparities in Rural-Urban Cancer Care Outcomes among Pediatric, Adolescent, and Young Adult Populations: A Comprehensive Narrative Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Review
  3. Article
  4. Review
  5. The Role of Rurality, Travel Time, and Neighborhood Socioeconomics on Patterns of Adjuvant Therapy Receipt among Patients with Endometrial Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  6. The Persistent Poverty Initiative's Framework to Address Social and Economic Determinants of Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  7. Rural patients' experiences with diagnosis and treatment of endometrial cancer.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  8. "It really takes a village": perspectives on multi-level barriers to endometrial cancer care for rural patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  9. Article
  10. Disparities in Cancer Stage of Diagnosis by Rurality in California, 2015 to 2019.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  11. Article
  12. Preliminary effects of a rural skin cancer prevention intervention for youths.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2024
    Article
  13. Article
  14. Review
  15. Survival of Middle Eastern and North African Individuals Diagnosed with Colorectal Cancer: A Population-Based Study in California.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Whitney E ZahndRural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, 220 Stoneridge Suite 204, Columbia, SC 29210, United States of America. Electronic address: zahnd@mailbox.sc.edu.
Sara L McLaffertyDepartment of Geography and Geographic Information Science, University of Illinois Urbana-Champaign, 1301 W. Green Street Urbana, IL 61801, United States of America. Electronic address: smclaff@illinois.edu.
Jan M EberthRural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, 220 Stoneridge Suite 204, Columbia, SC 29210, United States of America; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, United States of America; Cancer Prevention and Control Program, University of South Carolina, 915 Greene Street, Columbia, SC 29208, United States of America. Electronic address: jmeberth@mailbox.sc.edu.

Funding

Faith, Activity, and Nutrition: Dissemination in Underserved CommunitiesU48DP005000 · DP · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WILCOX, SARA · 2014 to 2019
$5.9M
NCCDPHP CDC HHS U48 DP005000
6 · The paper itself

Abstract

Rural populations experience a myriad of cancer disparities ranging from lower screening rates to higher cancer mortality rates. These disparities are due in part to individual-level characteristics like age and insurance status, but the physical and social context of rural residence also plays a role. Our objective was two-fold: 1) to develop a multilevel conceptual framework describing how rural residence and relevant micro, macro, and supra-macro factors can be considered in evaluating disparities across the cancer control continuum and 2) to outline the unique considerations of multilevel statistical modeling in rural cancer research. We drew upon several formative frameworks that address the cancer control continuum, population-level disparities, access to health care services, and social inequities. Micro-level factors comprised individual-level characteristics that either predispose or enable individuals to utilize health care services or that may affect their cancer risk. Macro-level factors included social context (e.g. domains of social inequity) and physical context (e.g. access to care). Rural-urban status was considered a macro-level construct spanning both social and physical context, as "rural" is often characterized by sociodemographic characteristics and distance to health care services. Supra-macro-level factors included policies and systems (e.g. public health policies) that may affect cancer disparities. Our conceptual framework can guide researchers in conceptualizing multilevel statistical models to evaluate the independent contributions of rural-urban status on cancer while accounting for important micro, macro, and supra-macro factors. Statistically, potential collinearity of multilevel model predictive variables, model structure, and spatial dependence should also be considered.

Indexed as

Healthcare DisparitiesMultilevel AnalysisRural PopulationFemaleHealth Services AccessibilityHumansInsurance, HealthNeoplasmsRisk FactorsCancer disparitiesMultilevel analysisRural healthSocial epidemiology

Identifiers

PMID31520673
PMCPMC7136953

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.