Evidence map›Paper›PMID 37498850›Full record

ArticlePloS one2023

Exploring the barriers and enablers of diabetes care in a remote Australian context: A qualitative study.

Siobhan Bourke, Syarifah Liza Munira, Anne Parkinson, Emily Lancsar, Jane Desborough

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

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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 at 1 institution in 1 country.

Siobhan BourkeDepartment of Health Services Research and Policy, National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Syarifah Liza MuniraDepartment of Health Services Research and Policy, National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.ORCID 0000-0003-3359-4290
Anne ParkinsonDepartment of Health Services Research and Policy, National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.ORCID 0000-0001-9053-0707
Emily LancsarDepartment of Health Services Research and Policy, National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Jane DesboroughDepartment of Health Services Research and Policy, National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.ORCID 0000-0003-1406-4593
Australian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis qualitative study explored the current barriers and enablers of diabetes care in the Indian Ocean Territories (IOT).

methodsA constructivist grounded theory approach that incorporated semi-structured telephone interviews was employed. Initial analysis of the interview transcripts used a line-by-line approach, to identify recurring themes, connections, and patterns, before they were re-labelled and categorised. This was followed by axial coding, categorisation refinement, and mapping of diabetes triggers in the IOT. PARTICIPANTS AND

settingThe IOT, consisting of Christmas Island and the Cocos (Keeling) Islands, are some of the most remote areas in Australia. When compared with mainland Australia, the prevalence of type 2 diabetes in the IOT is disproportionately higher. There were no known cases of type 1 diabetes at the time of the study. Like other remote communities, these communities experience difficulties in accessing health services to prevent and manage diabetes. Twenty health care professionals and health service administrators in the IOT took part in semi-structured telephone interviews held during April-June 2020. Participants included GPs, nurses, dietitians, social and community services workers, school principals, and administrators. The interview questions focused on their perceptions of the current diabetes care in place in the IOT and their views on the challenges of providing diabetes care in the IOT.

resultsWe identified four main barriers and two main enabling factors to the provision of effective diabetes care in the IOT. The barriers were: (i) societal influences; (ii) family; (iii) changing availability of food; (v) sustainability and communication. The two main enablers were: (i) tailoring interventions to meet local and cultural needs and values; and (ii) proactive compliance with the medical model of care.

conclusionDue to the cultural and linguistic diversity within the IOT, many of the identified barriers and enablers are unique to this community and need to be considered and incorporated into routine diabetes care to ensure successful and effective delivery of services in a remote context.

Indexed as

Diabetes Mellitus, Type 2Attitude of Health PersonnelAustraliaCommunicationHealth PersonnelHumansQualitative Research

Identifiers

PMID37498850
PMCPMC10373998
OpenAlexW4385301099

What OpenQuestion holds

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LicenceCC BY
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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.