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Record W3028038644 · doi:10.1111/dme.14318

<i>Diabetic Medicine</i> in lock‐down

2020· editorial· en· W3028038644 on OpenAlexaboutno aff
Richard I. G. Holt

Bibliographic record

VenueDiabetic Medicine · 2020
Typeeditorial
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFace (sociological concept)Coronavirus disease 2019 (COVID-19)ChinaPandemicLawSociology

Abstract

fetched live from OpenAlex

Title: Empty train during Covid-19 outbreak in China, 2020. Caption: Nearly deserted subway train carriage in Shanghai, China during the 2019-20 Covid-19 outbreak. Credit: Edwin Remsberg, VW PICS/ Science Photo library. As I write this month’s editorial, the UK has been in lock-down for just over six weeks and discussions are now beginning to determine the way to ease the measures that were put in place to slow the spread of Covid-19. The pandemic has affected all our lives to a greater or lesser extent; for some, it has meant bereavement, family crisis or job loss, with the inevitable financial consequences. For others, the quarantine has allowed time for relaxation and reflection. We may all be sailing through the same storm but we are not all in the same boat. What is certain is that our lives will change irrevocably beyond the current crisis. Plato was the first to say that necessity is the mother of invention and diabetes services have seen much innovation over the past few weeks. With the cessation of face-to-face clinics, many clinicians, including me, have started conducting productive remote consultations, using video- or tele-conferencing, aided by modern technology that allows both clinician and person with diabetes to view glucose downloads simultaneously. It will be interesting to see how many people will wish to return to solely face-to-face consultations once normal services resume, with all the inconvenience of travel, parking and waiting. My bet is that there will be a move to a hybrid system where some contacts will be remote while others will be in person. I have not yet been able to examine anyone’s feet over the internet! Health systems will need to adapt to accommodate these changes. When lock-down began, I wondered about the effect on Diabetic Medicine. Would redeployment of clinical academics to the 'front-line' mean people had no time to write or review? On the other hand, would furloughed staff have more time to put pen to paper? Looking at our figures, April was a busy time, with more submissions than the same month in the two preceding years. In part, this is because we have encouraged submission of Covid-19 papers as it has become clearer that people with diabetes are at higher risk of severe infection and Covid-19 can cause unusual and severe metabolic derangement. Following our editorial last month [1], we have fast-tracked three guideline papers from submission to publication in less than a week to provide up-to-date recommendations for healthcare professionals caring for people with diabetes. All three are now attracting social media attention. The first was a timely update from the South Asian Health Foundation about the management of diabetes for people fasting during Ramadan [2], while the second comes from the UK National Diabetes Inpatient Covid Response Group [3]. Supported by Diabetes UK, the Association of British Clinical Diabetologists and NHS England, the group was formed at the end of March to ensure that basic diabetes services are secured and maintained during the pandemic and to provide simple safe diabetes guidelines for use by specialists and non-specialists treating inpatients with Covid-19 infection. The final paper deals with the management of diabetes in care homes, a topic of much discussion [4]. More will follow. We are also starting to receive original research on the implications of the epidemic for people with diabetes; one of the first papers was from the Steno Diabetes Centre in Copenhagen that examined the psychological sequelae of Covid-19 and would have fitted well into this month’s issue. Sadly, we are not quite that quick, and you will have to wait a little while before it has gone through its production checks! Qualitative research provides a richness to our understanding of the experiences of people with diabetes by examining the reasons, opinions, and motivations that underlie living with the condition. This month we publish eight papers from around the world that used this methodology. In the first, Dash et al. [5] have undertaken a systematic review of qualitative literature on the reasons why children and adolescents with type 1 diabetes participate or not in physical activity. As well as individual characteristics, support from friends, family and teachers were key drivers to increase exercise, while the requirement to manage blood glucose during exercise was a major barrier. The DiRECT study has challenged our view of the management of early type 2 diabetes, raising the possibility that weight loss through a low-calorie meal-replacement diet can lead to the remission of type 2 diabetes [6]. Some, however, have questioned how acceptable and feasible such a diet would be in a wider population. Rehackova et al. [7] provide insights into this question through their interviews of 18 people who took part in the Counterbalance study, the earlier proof-of-concept study for DiRECT. The participants commented on how they grew in confidence during the trial and how their new health behaviours could affect others around them. They needed to be flexible as they moved from the rigid weight loss phase to weight maintenance. Finally, they described how their self-perception changed during the experience. While qualitative studies often complement findings from quantitative studies, this is not always the case. In the study of 40 Chinese-Canadian adults with type 2 diabetes, the qualitative findings from semi-structured interviews captured aspects of diabetes distress that contradicted some of the quantitative findings, highlighting how both methodologies contribute unique value [8]. Next up is a paper from the Australian MILES2 study describing how some people with diabetes wished that their healthcare professionals understood more about the challenges of diabetes self-management [9]. Despite the recognition that pre-conception care improves pregnancy outcomes in women with diabetes, many women do not attend. Forde et al. [10] explored some of the reasons why this may be the case in women with type 2 diabetes. There was a lack of awareness of the need for pre-conception care but also systemic issues prevented healthcare professionals, particularly in primary care, from routinely engaging women with type 2 diabetes in meaningful conversations about preparation for pregnancy. Providing timely feedback is one technique for behaviour change. Hirst et al. [11] discuss how people with diabetes and clinicians find point-of-care HbA1c testing more convenient than usual testing, with the added benefit that sharing the results instantly helps people to understand how lifestyle behaviours could affect their diabetes. Last, but not least, come two papers, which examined the perspective of healthcare professionals on closed-loop systems. The first paper explores clinicians’ views of the potential benefits for people with diabetes while recognizing the need for new training and support to gain the most from the new technology [12]. In the second paper, Lawton et al. [13] describe how health professionals could hold prejudicial and erroneous views about who would benefit most from a closed-loop system. Clinical experience often changed their views as they observed people using the closed-loop system in ways they had not anticipated. This issue of Diabetic Medicine clearly illustrates how qualitative research can bring novel insights into diabetes and why this type of research is crucial for people with diabetes and healthcare professionals worldwide. We still do not know how the Covid-19 pandemic will affect the lives of people with diabetes, whether infected or not, and I anticipate reading qualitative studies on this topic over the coming months.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.091
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.279
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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