Evidence map›Paper›PMID 26991683›Full record

Trial reportCancer2016

Nurse and patient characteristics predict communication about complementary and alternative medicine.

Christine N Spencer, Gabriel Lopez, Lorenzo Cohen, Diana L Urbauer, D Michael Hallman, Michael J Fisch, Patricia A Parker

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Nurse-guided patient self-treatment in integrative oncology: a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Trial
  3. Article
  4. Article
  5. Integrative Health: An Interprofessional Standardized Patient Case for Prelicensure Learners.MedEdPORTAL : the journal of teaching and learning resources · 2018
    Article
  6. Review
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

7 authors.

Christine N SpencerDepartment of Palliative, Rehabilitation, and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gabriel LopezDepartment of Palliative, Rehabilitation, and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Lorenzo CohenDepartment of Palliative, Rehabilitation, and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Diana L UrbauerDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
D Michael HallmanUniversity of Texas School of Public Health, Houston, Texas.
Michael J FischDepartment of General Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Patricia A ParkerDepartment of Psychiatry and Behavioral Sciences Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UT MD Anderson Research Base - Foreign AccrualU10CA045809 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WOLFF, ROBERT · 1987 to 2013
$21.3M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016672NCI NIH HHS U10 CA045809
6 · The paper itself

Abstract

backgroundThe aim of this study was to identify nurse factors (eg, knowledge, practices, and clinical habits regarding complementary and alternative medicine [CAM] as well as demographic factors) and patient characteristics (eg, age, sex, and treatment status) associated with nurses' CAM inquiry and referral patterns.

methodsBaseline data were collected with nurse/patient questionnaires about CAM use and knowledge as part of a multicenter CAM educational clinical trial. Frequencies and nested regression models were used to assess predictors of nurses' inquiries about and referral to CAM therapies.

resultsSix hundred ninety-nine patients participated in the study. For patients, female sex (odds ratio [OR], 1.50; P = .019) and cancer recurrence (OR, 1.45; P = .05) were predictive of nurses' inquiries about and referral to CAM therapies. A total of 175 nurses with a mean age of 45 years and a mean experience of 20 years participated; 79% were staff nurses, and 11% were nurse practitioners. Fifty-three percent asked at least 1 of their last 5 patients about CAM use; 42% referred patients to CAM therapy. Nurses who reported being "somewhat comfortable" (OR, 2.70; P = .0001) or "very comfortable" (OR, 3.88; P < .0001) about discussing CAM, self-reported use of massage (OR, 2.20; P < .0001), and had formal CAM education (OR, 4.14; P = .0001) were more likely to ask about CAM use. Nurses who reported being "somewhat comfortable" (OR, 2.54; 95% confidence interval, 1.47-4.41; P = .0008) or "very comfortable" (OR, 7.46; P < .00001) and had formal CAM education (OR, 2.96; P < .0001) were also more likely to refer patients to CAM therapies.

conclusionsBoth patient and nurse characteristics were associated with discussions about CAM. Oncology institutions that prioritize evidence-based medicine should consider introducing CAM education to their nursing staff. Cancer 2016;122:1552-9. © 2016 American Cancer Society.

Indexed as

CommunicationNurse-Patient RelationsAdultComplementary TherapiesFemaleHumansMaleMiddle AgedNeoplasmsPatient Education as Topicalternativecommunicationcomplementarymedicinenurse and patient characteristics

Identifiers

PMID26991683
PMCPMC5472201

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.