Evidence map›Paper›PMID 36369057›Full record

ArticleBMC health services research2022

Measuring rurality in health services research: a scoping review.

Robin Danek, Justin Blackburn, Marion Greene, Olena Mazurenko, Nir Menachemi

Abstract readScoping Review
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Geographical Disparities in Faecal Immunochemical Test-Based Colorectal Cancer Screening Participation and Positivity Rates: A Systematic Review and Meta-Analysis.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    Pooled it
  2. Recruiting Rural Patients for Clinical Research: Lessons From a Colorectal Cancer Screening Trial.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Trial
  3. Article
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  5. Outpatient Care Fragmentation and Patient Satisfaction With Care.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
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  8. Beyond Rurality: Individual Socioeconomic Status and Chronic Disease Prevalence.medRxiv : the preprint server for health sciences · 2026
    Article
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  11. A novel approach to incorporate frontier areas into urban-rural geographic classifications: Integrated Metropolitan-to-Frontier Area Codes.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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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

5 authors.

Robin DanekIndiana University School of Medicine-Terre Haute, 1433 N 6 ½ St., Terre Haute, IN, 47802, USA. rdanek@iupui.edu.
Justin BlackburnRichard M. Fairbanks School of Public Health, Indiana University Richard M, Indianapolis, IN, USA.
Marion GreeneRichard M. Fairbanks School of Public Health, Indiana University Richard M, Indianapolis, IN, USA.
Olena MazurenkoRichard M. Fairbanks School of Public Health, Indiana University Richard M, Indianapolis, IN, USA.
Nir MenachemiRichard M. Fairbanks School of Public Health, Indiana University Richard M, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study is a scoping review of the different methods used to measure rurality in the health services research (HSR) literature.

methodsWe identified peer-reviewed empirical studies from 2010-2020 from seven leading HSR journals, including the Journal of Rural Health, that used any definition to measure rurality as a part of their analysis. From each study, we identified the geographic unit (e.g., county, zip code) and definition (e.g., Rural Urban Continuum Codes, Rural Urban Commuting Areas) used to classify categories of rurality. We analyzed whether geographic units and definitions used to classify rurality differed by focus area of studies, including costs, quality, and access to care. Lastly, we examined the number of rural categories used by authors to assess rural areas.

findingsIn 103 included studies, five different geographic units and 11 definitions were used to measure rurality. The most common geographic units used to measure rurality were county (n = 59, 57%), which was used most frequently in studies examining cost (n = 12, 75%) and access (n = 33, 57.9%). Rural Urban Commuting Area codes were the most common definition used to measure rurality for studies examining access (n = 13, 22.8%) and quality (n = 10, 44%). The majority of included studies made rural versus urban comparisons (n = 82, 80%) as opposed to focusing on rural populations only (n = 21, 20%). Among studies that compared rural and urban populations, most studies used only one category to identify rural locations (n = 49 of 82 studies, 60%).

conclusionGeographic units and definitions to determine rurality were used inconsistently within and across studies with an HSR focus. This finding may affect how health disparities by rural location are determined and thus how resources and federal funds are allocated. Future research should focus on developing a standardized system to determine under what circumstances researchers should use different geographic units and methods to determine rurality by HSR focus area.

Indexed as

Rural HealthRural PopulationHealth Services ResearchHumansUrban PopulationHealth policyHealth services researchLiterature reviewRural health

Identifiers

PMID36369057
PMCPMC9652888

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.