Evidence map›Paper›PMID 35569015›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2022

Needs, concerns and self-management experiences of people with type 2 diabetes during the COVID-19 pandemic: A qualitative study.

Rebecca Upsher, Yasaman Noori, Lisa Kuriakose, Io Vassiliadou, Kirsty Winkley, Khalida Ismail

Abstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

6 authors.

Rebecca UpsherDepartment of Psychology, Institute of Psychiatry, Psychology and Neuroscience, London, UK.ORCID 0000-0002-0881-8654
Yasaman NooriSchool of Medical Education, Faculty of Life Course Sciences & Medicine, London, UK.
Lisa KuriakoseDepartment of Diabetes, Faculty of Life Course Sciences & Medicine, London, UK.
Io VassiliadouEast London NHS Foundation Trust, London, UK.
Kirsty WinkleyFlorence Nightingale Faculty of Nursing, Midwifery & Palliative Care, London, UK.
Khalida IsmailDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes is associated with increased COVID-19 severity. Little is understood about the needs, concerns and self-management experiences of people with type 2 diabetes during the COVID-19 pandemic.

aimTo examine the lived experiences of people with type 2 diabetes during the COVID-19 pandemic.

methodThis qualitative study recruited people with type 2 diabetes from the SOUth-London Diabetes (SOUL-D) cohort. Semi-structured interviews via telephone were conducted between September 2020 and January 2021. Deductive thematic analysis derived themes from the data to explore needs, concerns and self-management experiences of people with type 2 diabetes.

resultsTwenty-nine people with type 2 diabetes were interviewed. Three themes with subthemes were outlined: (1) information needs of people with type 2 diabetes during the Covid-19 pandemic, (2) concerns about Covid-19 from people with type 2 diabetes and (3) diabetes self management and well-being during the Covid-19 pandemic.

conclusionDuring a pandemic, there is a need for consistent, diabetes-specific, messaging from healthcare professionals for people with type 2 diabetes. People with type 2 diabetes need support to access digital resources to aid remote communication. Future research could help develop recourses to prevent social isolation and loneliness for people with type 2 diabetes during a pandemic.

Indexed as

COVID-19Diabetes Mellitus, Type 2Self-ManagementHumansPandemicsQualitative ResearchCovid-19patient perspectivesqualitative researchtype 2 diabetes

Identifiers

PMID35569015
PMCPMC9347535

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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.