Evidence map›Paper›PMID 37535596›Full record

ArticlePloS one2023

Plant medicine usage of people living with type 2 diabetes mellitus in Belize: A qualitative exploratory study.

Lindsay P Allen, Lucia Ellis, Christophe Engleton, Valerie Lynette Valerio, Andrew R Hatala

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Lindsay P AllenDepartment of Community Health Sciences, University of Manitoba, Winnipeg, Canada.ORCID 0000-0002-7870-0301
Lucia EllisBelize Diabetes Association, Belize City, Belize.
Christophe EngletonBelize Diabetes Association, Belize City, Belize.
Valerie Lynette ValerioBelize Diabetes Association, Belize City, Belize.
Andrew R HatalaDepartment of Community Health Sciences, University of Manitoba, Winnipeg, Canada.

Funding

CIHR FRN 130797
6 · The paper itself

Abstract

backgroundType 2 Diabetes Mellitus (T2DM) is a primary cause of death in Belize, a low-income country with the highest rates in Central and South America. As many people in Belize cannot consistently access biomedical treatment, a reality that was exacerbated by the COVID-19 pandemic, plant medicine usage is estimated to have increased in recent years. This exploratory study seeks to understand which plants are being used, patterns of usage, and the state of patient-provider communication around this phenomenon.

methodsImplementing a Constructivist Grounded Theory qualitative design, the research team conducted 35 semi-structured interviews with adults living with T2DM, 25 informant discussions, and participant observation with field notes between February 2020 and September 2021. Data analysis followed systematized thematic coding procedures using Dedoose analytic software and iterative verification processes.

resultsThe findings revealed that 85.7% of participants used plants in their T2DM self-management. There were three main usage patterns, namely, exclusive plant use (31.4%), complementary plant use (42.9%), and minimal plant use (11.4%), related to factors impacting pharmaceutical usage. Almost none of participants discussed their plant medicine usage with their health care providers.

conclusionsPlant species are outlined, as are patients' reasons for not disclosing usage to providers. There are implications for the advancement of understanding ethnobotanical medicine use for T2DM self-management and treatment in Belize and beyond.

Indexed as

COVID-19Diabetes Mellitus, Type 2AdultBelizeEthnobotanyHumansPandemicsQualitative Research

Identifiers

PMID37535596
PMCPMC10399819

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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.