Evidence map›Paper›PMID 22693532›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2012

Development and Validation of an Instrument for Measuring Attitudes and Beliefs about Complementary and Alternative Medicine (CAM) Use among Cancer Patients.

Jun J Mao, Steve C Palmer, Krupali Desai, Susan Q Li, Katrina Armstrong, Sharon X Xie

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Predictors of herbal medicine use among cancer patients.Journal of cancer research and clinical oncology · 2023
    Article
  6. In reply to "could acupuncture be a treatment option for cancer patients with attitudinal barriers to pharmacological pain management?" by Kako, Kajiwara, and Kobayashi.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  7. Fear of analgesic side effects predicts preference for acupuncture: a cross-sectional study of cancer patients with pain in the USA.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Acupuncture versus medication for pain management: a cross-sectional study of breast cancer survivors.Acupuncture in medicine : journal of the British Medical Acupuncture Society · 2018
    Article
  12. Article
  13. Mixed Methods in CAM Research: A Systematic Review of Studies Published in 2012.Evidence-based complementary and alternative medicine : eCAM · 2013
    Review
  14. 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

6 authors at 1 institution in 1 country.

Jun J MaoDepartment of Family Medicine and Community Health, University of Pennsylvania Health System, Philadelphia, PA 19104, USA.
Steve C Palmer
Krupali Desai
Susan Q Li
Katrina Armstrong
Sharon X Xie
University of Pennsylvania Health System · US

Funding

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 K23 AT004112
6 · The paper itself

Abstract

Despite cancer patients' extensive use of complementary and alternative medicine (CAM), validated instruments to measure attitudes, and beliefs predictive of CAM use are lacking. We aimed at developing and validating an instrument, attitudes and beliefs about CAM (ABCAM). The 15-item instrument was developed using the theory of planned behavior (TPB) as a framework. The literature review, qualitative interviews, expert content review, and cognitive interviews were used to develop the instrument, which was then administered to 317 outpatient oncology patients. The ABCAM was best represented as a 3-factor structure: expected benefits, perceived barriers, and subjective norms related to CAM use by cancer patients. These domains had Eigenvalues of 4.79, 2.37, and 1.43, and together explained over 57.2% of the variance. The 4-item expected benefits, 7-item perceived barriers, and 4-item subjective norms domain scores, each had an acceptable internal consistency (Cronbach's alpha) of 0.91, 0.76, and 0.75, respectively. As expected, CAM users had higher expected benefits, lower perceived barriers, and more positive subjective norms (all P < 0.001) than those who did not use CAM. Our study provides the initial evidence that the ABCAM instrument produced reliable and valid scores that measured attitudes and beliefs related to CAM use among cancer patients.

Identifiers

PMID22693532
PMCPMC3369496
OpenAlexW1998825478

What OpenQuestion holds

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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.