Evidence map›Paper›PMID 28726015›Full record

ArticleCulture, medicine and psychiatry2018

Community Perceptions of Hospitals and Shared Physical Space: A Qualitative Study.

Daniel Skinner, Berkeley Franz, Kelly Kelleher, Robert Penfold

Abstract read
PubMed Publisher
In one paragraph

Article in Culture, medicine and psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Building trust in American hospital-community development projects: a scoping review.Journal of community hospital internal medicine perspectives · 2021
    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

4 authors.

Daniel SkinnerDepartment of Social Medicine, Ohio University Heritage College of Osteopathic Medicine, 6775 Bobcat Way, Dublin, OH, 43016, USA.
Berkeley FranzDepartment of Social Medicine, Ohio University Heritage College of Osteopathic Medicine, Grosvenor 311, Athens, OH, 45701, USA. franzb@ohio.edu.
Kelly KelleherNationwide Children's Hospital, Center for Innovation in Pediatric Practice, 700 Children's Drive, Columbus, OH, 43205, USA.
Robert PenfoldGroup Health Research Institute, 1730 Minor Avenue, Suite 1600, Seattle, WA, 98101, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to providing critical medical services to communities, hospitals are also forces of broader change when seen from the perspective of neighborhood development. Over the past few decades the obligation on the part of U.S. nonprofit hospitals to positively impact the communities in which they are located has become entrenched in both U.S. tax law and the practices of many hospitals. This article presents findings from a grounded theory qualitative study of the relationship between a non-profit children's hospital in Columbus, Ohio, and the neighborhood in which it is located. Based on in-depth interviews with local residents and community leaders, findings suggest that community members often interpret distance, safety, and transportation in different, and often counter-intuitive ways. Drawing upon literature from medical geography and sociology, the authors argue that hospitals may benefit from working closely with community members to determine how space is understood and constructed when planning community health interventions.

Indexed as

Health Services AccessibilityHospitals, UrbanNeeds AssessmentTransportationUrban PopulationGrounded TheoryHospitals, PediatricHospitals, VoluntaryHumansQualitative ResearchAffordable Care ActCommunity Health Needs AssessmentHospitalsMedical geographyTransportation

Identifiers

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.