Evidence map›Paper›PMID 27573330›Full record

ArticleInternational journal of medical informatics2016

Socio-demographic differences in risk information seeking sources for non-steroidal anti-inflammatory drugs (NSAIDS).

Shannon H Houser, David W Au, Michael J Miller, Lang Chen, Ryan C Outman, Midge N Ray, Kenneth G Saag, Robert Weech-Maldonado

Open access · greenAbstract read
In one paragraph

Article in International journal of medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 21% of its field
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 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

8 authors at 3 institutions in 1 country.

Shannon H HouserUniversity of Alabama at Birmingham, Department of Health Services Administration, Birmingham, AL, USA. Electronic address: shouser@uab.edu.
David W AuValdosta State University, Department of Management and Healthcare Administration, Valdosta, GA, USA.
Michael J MillerThe University of Oklahoma School of Community Medicine, Department of Medical Informatics, Tulsa, OK, USA.
Lang ChenUniversity of Alabama at Birmingham, Department of Medicine, Birmingham, AL, USA.
Ryan C OutmanUniversity of Alabama at Birmingham, Department of Medicine, Birmingham, AL, USA.
Midge N RayUniversity of Alabama at Birmingham, Department of Health Services Administration, Birmingham, AL, USA.
Kenneth G SaagUniversity of Alabama at Birmingham, Department of Medicine, Birmingham, AL, USA.
Robert Weech-MaldonadoUniversity of Alabama at Birmingham, Department of Health Services Administration, Birmingham, AL, USA.
University of Alabama at Birmingham · USUniversity of Oklahoma · USValdosta State University · US

Funding

Research Education CoreP30AG031054 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DURANT, RAEGAN WINSTON · 2007 to 2025
$11.6M
UAB Deep South Arthritis and Musculoskeletal CERTsU19HS021110 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2011 to 2015
$4.1M
AHRQ HHS U19 HS021110NIA NIH HHS P30 AG031054
6 · The paper itself

Abstract

objectivesNon-steroidal anti-inflammatory drugs (NSAIDs) are frequently prescribed for musculoskeletal pain and inflammatory conditions. A better understanding of patient information seeking behavior can help bridge the gap between patient knowledge and health care resources. This study examines the primary sources of NSAID risk information and the associations with patient socio-demographic factors.

methodsA cross-sectional survey analysis of patients on prescription NSAIDs (n=220) seen by primary care physicians in Alabama. Bivariate and multivariable, multinomial logistic regression analyses were conducted to evaluate the associations among primary NSAID risk information sources used with patient socio-demographic factors.

resultsThe primary patient source of information on NSAID risks was physician (57.3%), followed by internet (16.8%), pharmacist (16.4%), and other sources, such as nurses and family/friends (9.6%). Compared to people who use the internet as a primary source of NSAID risk information, patients who were Black/African-American (p=0.002) and 65 years of age or older (p=0.009) were more likely to use a physician. Older patients were also more likely to use a pharmacist (p=0.008) than the internet. In contrast, females (p=0.032) were less likely to use the pharmacist compared to the internet (p=0.032).

conclusionsPatients obtain information from a variety of sources, but primarily from health care providers. While the internet is a fast growing source of health information, socio-demographic disparities in internet use for seeking information exist. Health care providers should be aware of their patient preferences for information sources on medication risks to meet the age, race, and gender need differences of all patients.

Indexed as

DemographyInformation Seeking BehaviorSocial ClassAdultAgedAlabamaAnti-Inflammatory Agents, Non-SteroidalCross-Sectional StudiesFemaleHumansInternetMaleMiddle AgedRisk AssessmentSurveys and QuestionnairesAnti-Inflammatory Agents, Non-SteroidalHealth care disparitiesHealth communicationHealth literacyInformation seeking behaviorInternet useSocioeconomic factors

Identifiers

PMID27573330
PMCPMC12746840
OpenAlexW2504437461

What OpenQuestion holds

Textmetadata
LicenceTDM
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.