ArticleBMC primary care2023
Newly diagnosed type 2 diabetes - does New Zealand General Practice adequately prepare patients to self-manage their Condition?
Article in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Primary Healthcare Professionals' Perspectives on Cardiovascular Risk Communication to Persons With Type 2 Diabetes: A Grounded Theory Study.Nursing open · 2026Article
- Type 2 Diabetes Management in Aotearoa New Zealand: A Comparison of Urban and Rural Primary Care Clinics.The Australian journal of rural health · 2025Observational
- Measuring electronic health literacy in the context of diabetes care: psychometric evaluation of a Persian version of the condition-specific eHealth literacy scale for diabetes.BMC medical informatics and decision making · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundType 2 diabetes mellitus (T2D) is predominantly managed in primary care, and patients need to be provided with appropriate knowledge and education to understand how to best self-manage their condition. For optimal T2D self-management, primary care teams should share this information from the time of diagnosis. Little is currently known about how and when these resources are being provided to patients with T2D in New Zealand.
methodsAn online survey was carried out between Oct 2022 and Feb 2023. Patients diagnosed with T2D after Jan 2020 were invited to participate, with recruitment occurring via primary care and social media. Questions included information about demographics, diagnosis, provision of education resources and/or referral services as well as about current diabetes management. All responses were analysed with chi square tests. Free-text comments were summarised only.
resultsA total of 203 participants from across New Zealand completed the survey, but 18 were excluded due to being diagnosed more than 3 years ago, or self-reporting with type 1 diabetes rather than T2D. Nearly three quarters (70.7%) of participants reported that they were given appropriate resources to understand and manage their T2D, though half of these would have like more information. Overall, family and friends, self-led research and healthcare-provided education were equally useful, though this differed by ethnic groups. Similarly, approx. 70% of patients thought that medications had been well explained. Free text comments suggested a need for more targeted information around food choice and insulin use as well as a need for empathy and appropriate language from healthcare providers.
conclusionsPrimary care appears to be providing most newly diagnosed patients with appropriate resources to understand and manage their T2D, but there is room for improvement with up to a third of participants not understanding how to manage foods, medication and lifestyle choices to optimise health outcomes. Further work is required to address this gap and should include the use of culturally-appropriate materials to meet the multi-ethnic population needs.
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Registered trials
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.