Evidence map›Paper›PMID 33903809›Full record

ArticleKansas journal of medicine2021

Is Rural Kansas Prepared? An Assessment of Resources Related to the COVID-19 Pandemic.

Hannah Berland, Dorothy Hughes

Open access · diamondAbstract read
In one paragraph

Article in Kansas journal of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Hannah BerlandUniversity of Kansas School of Medicine-Salina, Salina, KS.
Dorothy HughesDepartment of Population Health, University of Kansas School of Medicine, Kansas City, KS.
University of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis cross-sectional study investigated rural Kansas healthcare resources relevant to COVID-19 at the county level in the context of population characteristics.

methodsThe federal Area Health Resource File was used to assess system capacity and critical care-related resources and COVID-19-related risk factors at the county level. Data were described with summary statistics, cross-tabulations, and bivariate tests to discern differences across county rurality categories (2013 Rural-Urban Continuum Codes).

resultsKansas has 105 counties. Metropolitan counties had an average of 1.5 physicians (M.D. or D.O., any specialty) per 1,000 people, while rural counties had 0.8. A total of 63.5% of rural counties had no anesthesia providers and 100.0% of rural counties had no pulmonary disease physicians. While 96 counties have at least one hospital, nearly 90% rural counties had no intensive care unit (ICU) services. The percent of the population estimated to be over 65 was higher among rural counties (24.2%) than metropolitan counties (19.3%). On average, rural counties had nearly twice as many deaths per 1,000 people by cardiovascular disease and more chronic obstructive pulmonary disease deaths than metropolitan and nonmetropolitan/urban adjacent counties.

conclusionsKansas faced limited ICU capabilities and physician workforce shortages in rural counties, both in primary care and specialties such as anesthesia and pulmonology. In addition, nonmetropolitan/urban adjacent and rural population age structures and mortality rates potentially demonstrated an increased risk to overwhelm local healthcare systems. This may have serious implications for rural health, particularly in the context of the COVID-19 pandemic.

Indexed as

COVID-19critical carehealthcare systemshealth disparitiesnonmetropolitan populations

Identifiers

PMID33903809
PMCPMC8060066
OpenAlexW3152872526

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.