Evidence map›Paper›PMID 42681993›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2026

Inpatient Satisfaction at Indian Health Service Hospitals.

Victoria Kliewe, Jennifer Lowell, Matthew Tobey

Abstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

3 authors.

Victoria KlieweDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0003-0463-3251
Jennifer LowellQuillen College of Medicine, East Tennessee State University, Johnson City, Tennessee, USA.ORCID https://orcid.org/0009-0005-5993-3942
Matthew TobeyDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9851-6819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAmerican Indian and Alaska Native (AI/AN) populations receive care through multiple healthcare systems, including the Indian Health Service (IHS), which provides care to nearly two million users. To better understand inpatient quality of care, we examined patient satisfaction at IHS hospitals and assessed whether operation of IHS hospitals under self-determination contracts or compacts was associated with higher satisfaction than federally operated IHS hospitals.

methodsWe conducted a cross-sectional analysis of Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) data from October 1, 2020 to September 30, 2023. We evaluated top-box responses for nurse communication, physician communication, and overall hospital rating from 9642 surveys across 22 IHS hospitals. 19 of the 22 hospitals (86%) were located in non-metropolitan counties defined by US census tracts classified as rural or isolated rural by Rural-Urban Commuting Area (RUCA) codes. Multilevel logistic regression clustered by hospital examined associations with tribal operation of IHS hospitals, region, county poverty rate, and Area Deprivation Index.

findingsHospital-level averages for all HCAHPS measures were lower for IHS hospitals than the national HCAHPS average. Tribal operation of IHS hospitals was associated with higher odds of top-box overall hospital rating (OR 1.41, 95% CI 1.04-1.94) but not with nurse or physician communication. Physician communication scores were inversely associated with area deprivation. Substantial variation existed across IHS regions.

conclusionIHS hospitals demonstrated lower satisfaction scores than the national average, with wide variability across facilities. Tribal operation of IHS hospitals was associated with higher overall hospital ratings, suggesting potential benefits of local governance. Findings highlight opportunities to strengthen patient experience across the IHS and the value of examining high-performing hospitals to inform improvement efforts.

Indexed as

InpatientsPatient SatisfactionUnited States Indian Health ServiceCross-Sectional StudiesHumansQuality of Health CareSurveys and QuestionnairesUnited StatesHCAHPSIndian Health Service (IHS)patient experiencepatient satisfactiontribal health systems

Identifiers

PMID42681993
PMCPMC13535269

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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.