Evidence map›Paper›PMID 25011729›Full record

ArticleBMC endocrine disorders2014

Need and disparities in primary care management of patients with diabetes.

Alessandra Buja, Rosa Gini, Modesta Visca, Gianfranco Damiani, Bruno Federico, Daniele Donato, Paolo Francesconi, Alessandro Marini, Andrea Donatini, Salvatore Brugaletta and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Laboratory Computer-Based Interventions for Better Adherence to Guidelines in the Diagnosis and Monitoring of Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2019
    Article
  5. Article
  6. Article
  7. 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

14 authors at 7 institutions in 1 country.

Alessandra BujaDepartment of Molecular Medicine of the University of Padova, Laboratory of Public Health and Population Studies, Via Loredan, 18, 35100 Padova, Italy. alessandra.buja@unipd.it.
Rosa Gini
Modesta Visca
Gianfranco Damiani
Bruno Federico
Daniele Donato
Paolo Francesconi
Alessandro Marini
Andrea Donatini
Salvatore Brugaletta
Giorgia Bardelle
Vincenzo Baldo
Mariadonata Bellentani
Valore Project
University of Padua · ITAgenzia Regionale di Sanità della Toscana · ITUniversità Cattolica del Sacro Cuore · ITAgenzia Regionale Prevenzione e Ambiente della Regione Emilia-Romagna · ITRegione del Veneto · ITUniversità degli studi di Cassino e del Lazio Meridionale · ITUniversity of Ragusa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn aging population means that chronic illnesses, such as diabetes, are becoming more prevalent and demands for care are rising. Members of primary care teams should organize and coordinate patient care with a view to improving quality of care and impartial adherence to evidence-based practices for all patients. The aims of the present study were: to ascertain the prevalence of diabetes in an Italian population, stratified by age, gender and citizenship; and to identify the rate of compliance with recommended guidelines for monitoring diabetes, to see whether disparities exist in the quality of diabetes patient management.

methodsA population-based analysis was performed on a dataset obtained by processing public health administration databases. The presence of diabetes and compliance with standards of care were estimated using appropriate algorithms. A multilevel logistic regression analysis was applied to assess factors affecting compliance with standards of care.

results1,948,622 Italians aged 16+ were included in the study. In this population, 105,987 subjects were identified as having diabetes on January 1st, 2009. The prevalence of diabetes was 5.43% (95% CI 5.33-5.54) overall, 5.87% (95% CI 5.82-5.92) among males, and 5.05% (95% CI 5.00-5.09) among females. HbA1c levels had been tested in 60.50% of our diabetic subjects, LDL cholesterol levels in 57.50%, and creatinine levels in 63.27%, but only 44.19% of the diabetic individuals had undergone a comprehensive assessment during one year of care. Statistical differences in diabetes care management emerged relating to gender, age, diagnostic latency period, comorbidity and citizenship.

conclusionsProcess management indicators need to be used not only for the overall assessment of health care processes, but also to monitor disparities in the provision of health care.

Indexed as

Disease ManagementHealth Services Needs and DemandAdolescentAdultAgedAged, 80 and overDatasets as TopicDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHealthcare DisparitiesHumansMaleMiddle AgedPatient CompliancePrimary Health Care

Identifiers

PMID25011729
PMCPMC4107618
OpenAlexW2166528093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.