Evidence map›Paper›PMID 35996449›Full record

ArticleEnvironment systems & decisions2022

Defining and analyzing health system resilience in rural jurisdictions.

Mason Barnard, Sienna Mark, Scott L Greer, Benjamin D Trump, Igor Linkov, Holly Jarman

Abstract read
In one paragraph

Article in Environment systems & decisions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

6 authors.

Mason BarnardDepartment of Sociology, Princeton University, Princeton, USA.ORCID 0000-0002-9548-4057
Sienna MarkUniversity of Michigan School of Public Health, Ann Arbor, USA.ORCID 0000-0002-0923-2292
Scott L GreerUniversity of Michigan School of Public Health, Ann Arbor, USA.ORCID 0000-0002-5288-0471
Benjamin D TrumpUniversity of Michigan School of Public Health, Ann Arbor, USA.ORCID https://orcid.org/0000-0002-4097-733X
Igor LinkovCarnegie Mellon University, Pittsburgh, USA.ORCID 0000-0002-0823-8107
Holly JarmanUniversity of Michigan School of Public Health, Ann Arbor, USA.ORCID 0000-0002-7330-3075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rural areas face well known and distinctive health care challenges that can limit their resilience in the face of health emergencies such as the COVID-19 pandemic. These include problems of sparsity and consequent limited health care provisioning; poverty, inequalities, and distinctive economic structures that limit access to health care; and underlying population health risks and inequalities that can increase vulnerability. Nonetheless, not all rural areas face the same problems, and non-rural areas can have challenges. To be useful in influencing policy, a tool to identify more and less resilient areas is necessary. This Commentary reviews key forms of risk and constructs a county-level index of resilience for the United States which helps to identify countries with limited resilience. Further, it argues that health care resilience should be conceptualized in terms of broader regions than counties since health care facilities' referral regions are larger than individual counties; resilience needs to be understood at that level. The index, read at the level of counties and referral regions, can contribute to identification of immediate problems as well as targets for longer term investment and policy response.

Indexed as

Health systemsResilienceRural

Identifiers

PMID35996449
PMCPMC9387414

What OpenQuestion holds

Textmetadata
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.