Evidence map›Paper›PMID 35673493›Full record

ArticleJournal of diabetes and metabolic disorders2022

A new model for optimization of diabetes clinics with the case study in Iran.

Ali Sharifi, Yosef Farzi, Shahin Roshani, Azin Ghamari, Ozra Tabatabaei-Malazy, Shirin Djalalinia, Shahedeh Seyfi, Fateme Gorgani, Rosa Haghshenas, Elham Abdolhamidi and 5 more

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Ali SharifiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Yosef FarziNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Shahin RoshaniNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Azin GhamariNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ozra Tabatabaei-MalazyEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Shirin DjalaliniaNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Shahedeh SeyfiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Fateme GorganiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Rosa HaghshenasNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Elham AbdolhamidiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Sahar Mohammadi FatehNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mana MoghimiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Saral RahimiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Farshad FarzadfarNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Bagher LarijaniEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-5386-7597

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study presented a new model for optimal assignment of human resources to 3-level defined clinics to improve the management of diabetes. Methods: First, the data of population and prevalence of diabetes and data about complications were gathered. Then, the number of needed visits was calculated for different classes of diabetic people using guidelines. On the supply side, the maximum number of available visits for a given year by a given specialty was calculated. Two scenarios were considered. The first scenario calculated the number of needed specialties to cover the guideline needs, while the second real-world scenario used human resource data to optimize the assignment of human resources to different levels of clinics. Results: The highest and lowest required specialties per year are 2780 General practitioners (GPs) and 492 gastroenterologists. Seven hundred forty-one endocrinologists or internists are required each year to cover all the needs. The highest and lowest number of the available specialties were 4967 GPs and 35 nutritionists. 81% of cities can cover basic services, while even the lowest level of coverage is not possible in 19% of districts. Conclusions: The present study's findings advise the policymakers to train human resources based on available evidence and distribute the human resources based on an evidence-based model. This could be achieved using the private section resources. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-021-00939-4.

Indexed as

ComplicationsDiabetes mellitusManagementOptimal modelThe healthcare system

Identifiers

PMID35673493
PMCPMC9167171

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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.