Evidence map›Paper›PMID 40553198›Full record

ArticleInternational journal of clinical pharmacy2025

Barriers to, and enablers of, medication taking among Chinese adults living with type 2 diabetes mellitus in Australia: a qualitative study.

Olumuyiwa Omonaiye, Alemayehu Mekonnen, Christopher Gilfillan, Rosemary Wong, Elizabeth Holmes-Truscott, Elizabeth Manias, Bodil Rasmussen, Kevin Mc Namara, Jerry Lai, Louise Huang and 1 more

Abstract read
In one paragraph

Article in International journal of clinical pharmacy, 2025. 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

11 authors.

Olumuyiwa OmonaiyeSchool of Nursing and Midwifery and Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, Geelong, 1 Gheringhap St, Geelong, VIC, 3220, Australia. m.omonaiye@deakin.edu.au.ORCID http://orcid.org/0000-0001-8745-0589
Alemayehu MekonnenSchool of Nursing and Midwifery and Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, Geelong, 1 Gheringhap St, Geelong, VIC, 3220, Australia.
Christopher GilfillanEastern Health Clinical School, Monash University, Box Hill, VIC, Australia.
Rosemary WongEastern Health Clinical School, Monash University, Box Hill, VIC, Australia.
Elizabeth Holmes-TruscottSchool of Psychology, Deakin University, Geelong, Australia.
Elizabeth ManiasSchool of Nursing and Midwifery, Monash University, Clayton, VIC, Australia.
Bodil RasmussenSchool of Nursing and Midwifery and Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, Geelong, 1 Gheringhap St, Geelong, VIC, 3220, Australia.
Kevin Mc NamaraDeakin Rural Health, Deakin University, Geelong, VIC, Australia.
Jerry LaiSchool of Nursing and Midwifery and Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, Geelong, 1 Gheringhap St, Geelong, VIC, 3220, Australia.
Louise HuangSchool of Nursing and Midwifery and Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, Geelong, 1 Gheringhap St, Geelong, VIC, 3220, Australia.
Julie ConsidineSchool of Nursing and Midwifery and Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, Geelong, 1 Gheringhap St, Geelong, VIC, 3220, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes prevalence among individuals of Chinese background in Australia is about three times higher than the general population.

aimThe aim of this study was to identify specific barriers and enablers of medication-taking among adults of Chinese background living with type-2 diabetes mellitus (T2DM) in Australia.

methodQualitative semi-structured interviews were conducted with: (1) adults (18 + years) with T2DM of Chinese heritage currently prescribed diabetes medications; (2) health professionals involved in the care of people with T2DM of Chinese heritage. Participants were recruited from a national registry and single specialist clinic. Interviews were audio-recorded, transcribed verbatim, and analyzed using deductive content analysis based on the 14 domains of the Theoretical Domains Framework (TDF). The most relevant TDF domains were identified based on frequency counts across cohorts.

resultsA total of 25 people living with T2DM (60% male; age range: 31-72), and 11 healthcare professionals (5 endocrinologists; 5 pharmacists; 1 credentialled diabetes educator; 10 of Chinese background) participated. Barriers and enablers influencing medication-taking behaviors were identified across 13/14 TDF domains (except for 'Reinforcement'). Relevant domains most frequently identified were: Social Influences; Environmental Context and Resources; Beliefs About Consequences, and Behavioral Regulation.

conclusionDrawing on the TDF, potential targets for future interventions aimed at improving the uptake and maintenance of medication-taking behavior among adults with T2DM of Chinese heritage were identified. These data may support the development of culturally relevant and theoretically informed healthcare professional strategies and diabetes education programs, and ultimately, improve health outcomes for individuals with T2DM.

Indexed as

Diabetes Mellitus, Type 2Health Knowledge, Attitudes, PracticeHypoglycemic AgentsMedication AdherenceAdultAgedAustraliaEast Asian PeopleFemaleHumansMaleMiddle AgedQualitative ResearchHypoglycemic AgentsChineseDrug therapyMedication safetyMedication-takingTDFTheoretical domains framework

Identifiers

PMID40553198
PMCPMC12630298

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Registered trials

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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.