Evidence map›Paper›PMID 32071867›Full record

ArticleIntegrative medicine research2020

A qualitative study of classical Chinese medicine in community health focusing on self-care: practitioner and staff perspectives.

Alaia Harvie, Amie Steel, Jon Wardle

Open access · goldAbstract read
In one paragraph

Article in Integrative medicine research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Alaia HarvieFaculty of Health, University of Technology Sydney, Australia.
Amie SteelAustralian Research Centre in Complementary and Integrative Medicine, Faculty of Health, University of Technology Sydney, Australia.
Jon WardleAustralian Research Centre in Complementary and Integrative Medicine, Faculty of Health, University of Technology Sydney, Australia.
University of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionClassical Chinese medicine (CCM) encompasses many simple lifestyle recommendations which can be adopted into daily routines in support of short and long-term health outcomes. The rise in non-communicable diseases (NCDs) globally in recent decades has led to a need for cost-effective and scalable health care interventions to address lifestyle risk for NCDs in the community. This analysis explores the experience of staff and practitioners delivering a CCM community health care program designed to improve health behaviors in the community in rural Scotland.

methodsA qualitative study employed semi-structured interviews with a sample of program practitioners and staff (n = 7). Informants were asked to share their experience in delivering the CCM program. Emergent themes were identified via analysis using the Framework Approach.

resultsThemes emerged from the data in three key areas: Cultural challenges within the local region; Integration with the existing local health care network; and Team dynamics, co-creation and communication integrity.

conclusionThis study highlights the importance of accessibility, integration, networking, secure funding and team unity in the context of community health program delivery, as well as noting a diversity of practice among Chinese medicine practitioners. CCM concepts may hold potential for integration into community health, however, further research is warranted.

Indexed as

Chinese medicineClassical medicineCommunity healthQualitative researchSelf-care

Identifiers

PMID32071867
PMCPMC7013179
OpenAlexW3000423811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.