Evidence map›Paper›PMID 38966834›Full record

ArticleFuture healthcare journal2024

An audit of inpatient insulin prescriptions - how error relates to information source.

W Ashley-Fenn, Z Janjua, S Monir, H Yaqub, A Swaray, G Maltese, I Q Malik

Abstract read
In one paragraph

Article in Future healthcare journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Developing an Intervention for Safe Hospital Insulin Use for Older Adults With Diabetes Undergoing Surgical Admission (SHINE Study): A Co-Design Study.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  2. Article
  3. 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

7 authors.

W Ashley-FennClinical fellow in critical care echocardiography, Surrey & Sussex Healthcare NHS Trust, UK.
Z JanjuaCT2 ACCS-AM, North Devon District Hospital, Northern Devon Healthcare NHS Trust, UK.
S MonirCT2 in Psychiatry, Sussex Partnership NHS Foundation Trust, UK.
H YaqubSenior House Officer, Epsom & St Helier University Hospitals NHS Trust, UK.
A SwaraySenior House Officer, Epsom & St Helier University Hospitals NHS Trust, UK.
G MalteseConsultant in Diabetes and Endocrinology, Diabetes Department, Epsom and St Helier University Hospitals NHS Trust, UK.
I Q MalikConsultant in Diabetes and Endocrinology, Diabetes Department, Epsom and St Helier University Hospitals NHS Trust, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The risk of hospital insulin prescription errors in the UK has remained unchanged despite the adoption of several national initiatives. This audit was conducted to evaluate whether the prescription errors were related to the information source used. Aims: To determine what sources of information are used at the time of hospital admission of patients with diabetes to obtain details of their insulin regimen and how different sources relate to prescription errors. Method: We examined the clinical notes of 85 patients with diabetes and confirmed the insulin doses with the patient or the carer administering insulin. Results: Only 44 out of 85 (52%) patients or carers administering insulin recalled being asked about insulin; prescription errors were slightly lower in these patients but overall insulin prescription error remains at one in four. Conclusion: The persisting inpatient insulin error rate calls for a review of how the information on insulin regimen is collected and used by the healthcare services.

Indexed as

Diabetes inpatientInsulin prescription errors

Identifiers

PMID38966834
PMCPMC11223069

What OpenQuestion holds

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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.