Evidence map›Paper›PMID 27003512›Full record

ArticleJournal of alternative and complementary medicine (New York, N.Y.)2016

A Comparison of the Characteristics of Acupuncture- and Non-Acupuncture-Preferred Consumers: A Secondary Analysis of NHIS 2012 Data.

Yan Zhang, Matthew J Leach, Felicity L Bishop, Brenda Leung

Open access · greenAbstract read
In one paragraph

Article in Journal of alternative and complementary medicine (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Gender Differences in Use of Complementary and Integrative Health by U.S. Military Veterans with Chronic Musculoskeletal Pain.Women's health issues : official publication of the Jacobs Institute of Women's Health
    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

4 authors at 4 institutions in 4 countries.

Yan Zhang1 Texas Tech University Health Sciences Center , Lubbock, TX.
Matthew J Leach2 Australian Research Centre in Complementary and Integrative Medicine, University of Technology , Sydney, Australia .
Felicity L Bishop2 Australian Research Centre in Complementary and Integrative Medicine, University of Technology , Sydney, Australia .
Brenda Leung2 Australian Research Centre in Complementary and Integrative Medicine, University of Technology , Sydney, Australia .
Texas Tech University · USUniversity of Lethbridge · CAUniversity of Southampton · GBUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine whether acupuncture use, sociodemographic characteristics, and existing health conditions differ between acupuncture-preferred consumers (i.e., those who deem acupuncture to be one of the three most important complementary and alternative medicine [CAM] modalities used) and non-acupuncture-preferred consumers who used acupuncture in the past 12 months

methodsThis is a secondary analysis of the National Health Interview Survey Sample Adult File and Adult Alternative Medicine datasets collected by the Centers for Disease Control and Prevention during 2012. The sample was drawn from the noninstitutionalized civilian population of the United States. The datasets yielded 34,525 respondents aged 18 years and older. Measures included in the analysis were acupuncture use in the past 12 months, sociodemographic characteristics, and existing health conditions. Analyses were performed by using Stata software, version 9.0 (Stata Corp., College Station, TX).

resultsOf the 10,158 adults who responded to the question regarding the "three most important" CAM modalities used, 572 (5.6%) had used acupuncture in the past 12 months. Of these, 456 (79.7%) chose acupuncture as one of the top three CAM modalities most important to their health. Acupuncture-preferred consumers reported significantly more visits to acupuncturists (7.46 versus 3.99 visits; p < 0.001), as well as higher out-of-pocket costs ($342.8 versus $246.4; p < 0.001), compared with non-acupuncture-preferred consumers. The logistic regression model revealed that with every additional CAM modality used, the likelihood of deeming acupuncture as one of the three CAM modalities most important to one's health decreased by 39% (odds ratio, 0.61; 95% confidence interval, 0.52-0.71; p < 0.001). Health conditions were not statistically significant predictors.

conclusionsA consumer's preference for acupuncture appeared not to be driven by health conditions but rather was related to sociodemographic factors. This suggests that health education regarding acupuncture may need to be tailored to certain consumer groups, such as those residing in the South, and could provide more information on the comparative effectiveness of acupuncture for various health conditions.

Indexed as

Acupuncture TherapyComplementary TherapiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareUnited States

Identifiers

PMID27003512
PMCPMC4827296
OpenAlexW2310278843

What OpenQuestion holds

Textmetadata
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.