Evidence map›Paper›PMID 26011157›Full record

ArticleCancer2015

Do attitudes and beliefs regarding complementary and alternative medicine impact its use among patients with cancer? A cross-sectional survey.

Joshua M Bauml, Sagar Chokshi, Marilyn M Schapira, Eun-Ok Im, Susan Q Li, Corey J Langer, Said A Ibrahim, Jun J Mao

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
16.4field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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  20. Understanding interest, barriers, and preferences related to yoga practice among cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
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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.

Joshua M BaumlAbramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.
Sagar ChokshiRowan University School of Osteopathic Medicine, Stratford, NJ.
Marilyn M SchapiraAbramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.
Eun-Ok ImUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
Susan Q LiCenter for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Corey J LangerAbramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.
Said A IbrahimCenter for Health Equity Research and Promotion (CHERP), Philadelphia VA Medical Center, Philadelphia, Pennsylvania.
Jun J MaoAbramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · USPhiladelphia VA Medical Center · USRowan University · US

Funding

Racial Disparity in the Utilization of Joint Replacement for OsteoarthritisK24AR055259 · NIAMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IBRAHIM, SAID A · 2007 to 2019
$1.2M
Elucidating the placebo effects of acupuncture: hot flashes as a clinical modelK23AT004112 · NCCIH · UNIVERSITY OF PENNSYLVANIA · PI MAO, JUN J · 2008 to 2012
$659k
NCCIH NIH HHS 1K23 AT004112-05NCCIH NIH HHS K23 AT004112NCI NIH HHS L30 CA110987NIAMS NIH HHS K24 AR055259
6 · The paper itself

Abstract

backgroundComplementary and alternative medicine (CAM) incorporates treatments used by cancer survivors in an attempt to improve their quality of life. Although population studies have identified factors associated with its use, to the best of the authors knowledge, assessment of why patients use CAM or the barriers against its use have not been examined to date.

methodsThe authors conducted a cross-sectional survey study in the thoracic, breast, and gastrointestinal medical oncology clinics at an academic cancer center. Clinical and demographic variables were collected by self-report and chart abstraction. Attitudes and beliefs were measured using the validated Attitudes and Beliefs about CAM (ABCAM) instrument. This instrument divides attitudes and beliefs into 3 domains: expected benefits, perceived barriers, and subjective norms.

resultsAmong 969 participants (response rate, 82.7%) surveyed between June 2010 and September 2011, patient age ≤65 years, female sex, and college education were associated with a significantly greater expected benefit from CAM (P<.0001 for all). Nonwhite patients reported more perceived barriers to CAM use compared with white patients (P<.0001), but had a similar degree of expected benefit (P = .76). In a multivariate logistic regression analysis, all domains of the ABCAM instrument were found to be significantly associated with CAM use (P<.01 for all) among patients with cancer. Attitudes and beliefs regarding CAM explained much more variance in CAM use than clinical and demographic variables alone.

conclusionsAttitudes and beliefs varied by key clinical and demographic characteristics, and predicted CAM use. By developing CAM programs based upon attitudes and beliefs, barriers among underserved patient populations may be removed and more patient centered care may be provided.

Indexed as

Attitude of Health PersonnelHealth Knowledge, Attitudes, PracticeQuality of LifeAdultAgedAge FactorsComplementary TherapiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeoplasmsPatient-Centered CareSelf ReportSex Factorsattitudes and beliefsCAMcancerclinical characteristicscomplementary and alternative medicinedemographics

Identifiers

PMID26011157
PMCPMC5589132
OpenAlexW1514911581

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.