Evidence map›Paper›PMID 30523704›Full record

ArticleJournal of alternative and complementary medicine (New York, N.Y.)2019

Interdisciplinary Relationship Models for Complementary and Integrative Health: Perspectives of Chinese Medicine Practitioners in the United States.

Belinda J Anderson, Sai Jurawanichkul, Benjamin E Kligler, Paul R Marantz, Roni Evans

Abstract read
In one paragraph

Article in Journal of alternative and complementary medicine (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Trial
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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

5 authors.

Belinda J Anderson1 Pacific College of Oriental Medicine, New York, NY.
Sai Jurawanichkul1 Pacific College of Oriental Medicine, New York, NY.
Benjamin E Kligler2 Albert Einstein College of Medicine, Bronx, NY.
Paul R Marantz2 Albert Einstein College of Medicine, Bronx, NY.
Roni Evans3 University of Minnesota, Minneapolis, MN.

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
CAM Research Education Partnership ProjectR25AT003582 · NCCIH · UNIVERSITY OF MINNESOTA · PI EVANS, RONI L. · 2007 to 2014
$1.6M
Clinical and Translational Science AwardKL2TR001071 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI SHAMOON, HARRY · 2013 to 2017
$968k
Clinical and Translational Science AwardTL1TR001072 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI SHAMOON, HARRY · 2013 to 2017
$909k
Evidence Informed Practice: Faculty and Curriculum DevelopmentK07AT007186 · NCCIH · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ANDERSON, BELINDA J · 2013 to 2017
$670k
NCATS NIH HHS KL2 TR001071NCATS NIH HHS TL1 TR001072NCATS NIH HHS UL1 TR001073NCATS NIH HHS UL1 TR002556NCCIH NIH HHS K07 AT007186NCCIH NIH HHS R25 AT003582
6 · The paper itself

Abstract

objectivesThe combination of biomedicine and traditional and complementary medicine (T&CM) is often referred to as integrative medicine. However, the degree to which the medical disciplines are integrated varies between medical settings, and it is believed by some to be impossible due to epistemological and paradigmatic differences. Clinicians' perspectives are important determinants of how different medical disciplines are used together. This study explores the perspectives of experienced Chinese medicine practitioners when asked about the most ethical model (opposition, integration, or pluralism) for the relationship between biomedicine and T&CM.

designThirty-one Chinese medicine practitioners, undertaking a doctoral upgrade program at the Pacific College of Oriental Medicine, participated in this study. Participants were asked to read a publication discussing three models (opposition, integration, and pluralism) for the relationship between biomedicine and T&CM and then discuss, via an online forum within Moodle learning management system, the most ethical model. An inductive content analysis of the forum posts was undertaken to identify common themes, followed by member checking.

resultsThe data were found to contain six major and six minor themes. There was a clear preference for pluralism. The Chinese medicine practitioners expressed reservations about the integrative model, and, above all, cared about the quality of patient care. Much dialogue occurred around issues related to a power imbalance within health care, and possible cooptation issues. Paradigmatic differences and a lack of compatibility between biomedical research models and the practice of Chinese medicine were seen as problematic to the validity of research findings. Interprofessional education was viewed as critical for the development of respect, shared patient care, and referrals between clinicians from different disciplines.

conclusionsThis study provides insight into the issues associated with combining biomedicine and T&CM that are perceived by Chinese medicine practitioners. Such insights are important for the development and management of clinical settings that provide complementary and integrative health care, especially as the provision of insurance coverage for T&CM increases.

Indexed as

Attitude of Health PersonnelComplementary TherapiesIntegrative MedicineChinaCohort StudiesHumansMedicine, Chinese TraditionalPhysiciansUnited StatesacupunctureChinese medicinecomplementary and integrative medicineeducationpluralismqualitativetraditional and complementary medicine

Identifiers

PMID30523704
PMCPMC6437621

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.