Evidence map›Paper›PMID 36599502›Full record

ArticleBMJ open quality2023

Quality improvement tools to manage emergency callbacks from patients with diabetes in a prehospital setting.

Hassan Farhat, Guillaume Alinier, Kawther El Aifa, Khawla Athemneh, Padarath Gangaram, Ricardo Romero, Mohamed Chaker Khenissi, Loua Al Shaikh, James Laughton

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Article in BMJ open quality, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
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  7. Review
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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

9 authors.

Hassan FarhatAmbulance Service, Hamad Medical Corporation, Doha, Qatar Hfarhat1@hamad.qa.ORCID 0000-0001-5448-9401
Guillaume AlinierAmbulance Service, Hamad Medical Corporation, Doha, Qatar.
Kawther El AifaAmbulance Service, Hamad Medical Corporation, Doha, Qatar.
Khawla AthemnehHamad Healthcare Quality Institute, Hamad Medical Corporation, Doha, Qatar.
Padarath GangaramAmbulance Service, Hamad Medical Corporation, Doha, Qatar.
Ricardo RomeroAmbulance Service, Hamad Medical Corporation, Doha, Qatar.
Mohamed Chaker KhenissiAmbulance Service, Hamad Medical Corporation, Doha, Qatar.
Loua Al ShaikhAmbulance Service, Hamad Medical Corporation, Doha, Qatar.
James LaughtonAmbulance Service, Hamad Medical Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is rising at an alarming rate, as 1 in 10 adults worldwide now lives with the disease. In Qatar, a middle eastern Arab country, diabetes prevalence is equally concerning and is predicted to increase from 17% to 24% among individuals aged 45 and 54 years by 2050. While most healthcare strategies focus on preventative and improvement of in-hospital care of patients with diabetes, a notable paucity exists concerning diabetes in the prehospital setting should ideally be provided. This quality improvement study was conducted in a middle eastern ambulance service and aimed to reduce ambulance callbacks of patients with diabetes-related emergencies after refusing transport to the hospital at the first time. We used iterative four-stage problem-solving models. It focused on the education and training of both paramedics and patients. The study showed that while it was possible to reduce the rate of ambulance callbacks of patients with diabetes, this was short-lived and numbers increased again. The study demonstrated that improvements could be effective. Hence, changes that impacted policy, systems of care and ambulance protocols directed at managing and caring for patients with diabetes-related prehospital emergencies may be required to reify them.

Indexed as

Diabetes MellitusEmergency Medical ServicesAdultAmbulancesDelivery of Health CareEmergenciesHumansQuality ImprovementDiabetes mellitusHealthcare quality improvementPrehospital care

Identifiers

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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.