Evidence map›Paper›PMID 31497304›Full record

ArticleBMJ open diabetes research & care2019

Regular performance feedback may be key to maintain good quality DKA management: results from a five-year study.

Punith Kempegowda, Joht Singh Chandan, Benjamin Coombs, Anne De Bray, Nitish Jawahar, Sunil James, Sandip Ghosh, Parth Narendran

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Improving the rates of inpatient HbABMJ open quality · 2025
    Article
  5. DEKODE-A cloud-based performance feedback model improved DKA care across multiple hospitals in the UK.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Article
  6. Article
  7. Observational
  8. Article
  9. 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

8 authors at 1 institution in 1 country.

Punith KempegowdaDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Joht Singh ChandanDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Benjamin CoombsDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Anne De BrayDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Nitish JawaharDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Sunil JamesDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID 0000-0002-2942-3635
Sandip GhoshDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Parth NarendranDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID 0000-0002-4583-8793
University Hospitals Birmingham NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We postulate that performance feedback is a prerequisite to ensure sustained improvement in diabetic ketoacidosis (DKA) management. Design: The study was based on 'theory of change' concept that suggests changes of primary drivers determine the main outcome. A set of secondary drivers can be implemented to achieve improvements in these primary drivers and thus the main outcome. Setting: This study was conducted at a large tertiary care center in the West Midlands, UK. The region has above average prevalence of diabetes and DKA admissions in the country. Participants: All participants diagnosed with DKA as per national guidelines, except those managed in intensive care unit from April 2014 to March 2018, were included in this study. Interventions: Monthly feedback of performance was the main intervention. Development of a real-time live DKA audit tool, automatic referral system of DKA to the specialist team, electronic monitoring of blood gas measurements and education and redesigning of local (trust) guidelines were the other interventions in this study. Main outcome measures: Total DKA duration, appropriateness of fixed rate intravenous insulin infusion, fluid prescription, glucose monitoring, ketone monitoring and referral to specialists. Results: There was a significant reduction in the duration of DKA postintervention compared with baseline results. However, in the absence of regular feedback, the duration of DKA showed an upward trend nearing baseline values. Similar trends were noted in secondary drivers influencing DKA duration. Conclusion: Based on these results, we recommend regular audit and feedback is required to sustain improvements in DKA management.

Indexed as

Fluid TherapyAdultBiomarkersBlood GlucoseBlood Glucose Self-MonitoringDiabetic KetoacidosisDisease ManagementFeedbackFemaleFollow-Up StudiesHospitalizationHumansMaleMiddle AgedMonitoring, PhysiologicPrognosisBiomarkersBlood GlucoseEndocrinology/DiabetologyInsulin-Deficient Type 1 DiabetesKetoacidosisQuality Improvement Measures

Identifiers

PMID31497304
PMCPMC6708258
OpenAlexW2969692290

What OpenQuestion holds

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LicenceCC BY-NC
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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.