Evidence map›Paper›PMID 24525273›Full record

ArticlePain2014

Geospatial analysis of hospital consumer assessment of healthcare providers and systems pain management experience scores in U.S. hospitals.

Patrick J Tighe, Roger B Fillingim, Robert W Hurley

Abstract read
In one paragraph

Article in Pain, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Economic Considerations of Acute Pain Medicine Programs.Techniques in orthopaedics (Rockville, Md.) · 2017
    Article
  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

3 authors.

Patrick J TigheDepartment of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, USA Department of Community Dentistry, University of Florida College of Dentistry, Gainesville, FL, USA.
Roger B Fillingim
Robert W Hurley

Funding

Use of Machine Learning Classifiers to Forecast Severe Acute Postoperative Pain FK23GM102697 · NIGMS · UNIVERSITY OF FLORIDA · PI TIGHE, PATRICK J · 2012 to 2015
$573k
NIGMS NIH HHS K23 GM102697
6 · The paper itself

Abstract

Although prior work has investigated the interplay between demographic and intrasurvey correlations of Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores, these prior studies have not included geospatial analyses, or analyses that take into account location effects. Here, we report the results of a geospatial analysis (not equivalent to simple geographical analysis) of patient experience scores pertaining to pain. HCAHPS data collected in 2011 were examined to test the hypothesis that HCAHPS patient experience with pain management (PEPM) scores were geospatially distributed throughout the United States using Moran's Index, which measures the association between PEPM scores and hospital location. After limiting the dataset to hospitals in the continental United States with nonzero HCAHPS response rates, 3645 hospitals were included in the analyses. "Always" responses were geospatially clustered amongst the analyzed hospitals. Clustering was significant in all distances tested from 10 to 5000km (P<0.0001). We identified 6 demarcated groups of hospitals. Taken together, these results strongly suggest a regional geographic effect on PEPM scores. These results may carry policy implications for U.S. hospitals with regard to acute pain outcomes. Further analyses will be necessary to evaluate policy explanations and implications of the regional geographic differences in PEPM results.

Indexed as

Patient SatisfactionDelivery of Health CareHealth Care SurveysHealth PolicyHumansPain ManagementUnited StatesDemographicsGeographicalGeospatialPain management scores

Identifiers

PMID24525273
PMCPMC4086258

What OpenQuestion holds

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Registered trials

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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.