Evidence map›Paper›PMID 39116117›Full record

ArticlePloS one2024

Rurality and patients' hospital experience: A multisite analysis from a US healthcare system.

Iman Fawad, Karen M Fischer, Hanieh Sadat Tabatabaei Yeganeh, Kristine T Hanson, Laurie L Wilshusen, Yousif M Hydoub, Trevor J Coons, Tafi L Vista, Michael J Maniaci, Elizabeth B Habermann and 1 more

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Iman FawadDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
Karen M FischerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Hanieh Sadat Tabatabaei YeganehDivision of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota, United States of America.
Kristine T HansonRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, United States of America.
Laurie L WilshusenMayo Clinic Quality, Mayo Clinic, Phoenix, Arizona, United States of America.
Yousif M HydoubDivision of Cardiology, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
Trevor J CoonsDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID 0000-0002-3674-0698
Tafi L VistaMayo Clinic Quality, Mayo Clinic, Phoenix, Arizona, United States of America.ORCID 0000-0002-7333-0911
Michael J ManiaciDivision of Hospital Internal Medicine, Mayo Clinic, Jacksonville, Florida, United States of America.ORCID 0000-0002-2731-1787
Elizabeth B HabermannRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID 0000-0002-1140-003X
Sagar B DuganiDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID 0000-0001-7858-1317

Funding

Rural Patient Risks and Exposures for Diabetes ConTrol (Rural PREDICT)K23MD016230 · NIMHD · MAYO CLINIC ROCHESTER · PI DUGANI, CHANDRASAGAR · 2021 to 2025
$763k
NIMHD NIH HHS K23 MD016230
6 · The paper itself

Abstract

backgroundThe association between rurality of patients' residence and hospital experience is incompletely described. The objective of the study was to compare hospital experience by rurality of patients' residence.

methodsFrom a US Midwest institution's 17 hospitals, we included 56,685 patients who returned a post-hospital Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. We defined rurality using rural-urban commuting area codes (metropolitan, micropolitan, small town, rural). We evaluated the association of patient characteristics with top-box score (favorable response) for 10 HCAHPS items (six composite, two individual, two global). We obtained adjusted odds ratios (aOR [95% CI]) from logistic regression models including patient characteristics. We used key driver analysis to identify associations between HCAHPS items and global rating (combined overall rating of hospital and recommend hospital).

resultsOf all items, overall rating of hospital had lower odds of favorable response for patients from metropolitan (0.88 [0.81-0.94]), micropolitan (0.86 [0.79-0.94]), and small towns (0.90 [0.82-0.98]) compared with rural areas (global test, P = .003). For five items, lower odds of favorable response was observed for select areas compared with rural; for example, recommend hospital for patients from micropolitan (0.88 [0.81-0.97]) but not metropolitan (0.97 [0.89-1.05]) or small towns (0.93 [0.85-1.02]). For four items, rurality showed no association. In metropolitan, micropolitan, and small towns, men vs. women had higher odds of favorable response to most items, whereas in rural areas, sex-based differences were largely absent. Key driver analysis identified care transition, communication about medicines and environment as drivers of global rating, independent of rurality.

conclusionsRural patients reported similar or modestly more favorable hospital experience. Determinants of favorable experience across rurality categories may inform system-wide and targeted improvement.

Indexed as

Patient SatisfactionRural PopulationAdolescentAdultAgedDelivery of Health CareFemaleHospitalsHospitals, RuralHumansMaleMiddle AgedUnited StatesYoung Adult

Identifiers

PMID39116117
PMCPMC11309381

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.