Evidence map›Paper›PMID 38264552›Full record

ReviewInternational journal of preventive medicine2023

How Do Hospitals Organize Diabetes Services? A Comparative Study.

Seyede-Elahe Hosseini, Masoud Ferdosi, Ahmad R Raeisi, Mehdi Jafari

Abstract readReview
In one paragraph

Review in International journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Seyede-Elahe HosseiniStudent Research Committee, Health Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Masoud FerdosiHealth Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Ahmad R RaeisiHealth Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Mehdi JafariHealth Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most patients with diabetes will present to hospital for a reason not directly related to their diabetes. When a person with diabetes is not cared for properly, hospitalization can become complicated and lead to worse consequences for the patient. In fact, it is important to know how to manage a diabetic patient while in hospital. Therefore, a special organization is needed in hospitals for adaptation to chronic diseases such as diabetes. This study intends to help hospital adaptation to the special needs of diabetic patients by identifying patterns of care delivery in selected countries. This comparative study was performed in 2021. The data collection was conducted by searching in PubMed, Web of Knowledge, Scopus, Science Direct, Springer, Proquest, and also the websites of the selected countries hospitals. Based on the sampling method, three countries, Turkey, United Kingdom, and the United States, were selected from the countries with eligibility. However, during the study, according to the good practices about special diabetic care of countries such as Australia and Denmark, they were also examined. In this review study, we organized and compared the effective measures taken in selected countries in relation to the management of these patients in the hospital, focusing on the dimensions of service package, human resource, process, structure, equipment/technology, and information system required by diabetic patients.

Indexed as

Diabetes carediabetes mellitushospitalorganizationservice delivery

Identifiers

PMID38264552
PMCPMC10803680

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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.