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Data collection of patients with diabetes in family medicine: a study in north-eastern Italy

Overview of attention for article published in BMC Health Services Research, August 2017
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Title
Data collection of patients with diabetes in family medicine: a study in north-eastern Italy
Published in
BMC Health Services Research, August 2017
DOI 10.1186/s12913-017-2508-5
Pubmed ID
Authors

Alberto Vaona, Franco Del Zotti, Sandro Girotto, Claudio Marafetti, Giulio Rigon, Alessandro Marcon

Abstract

Studies on data collection and quality of care in Italian family medicine are lacking. The aim of this study was to assess the completeness of data collection of patients with diabetes in a large sample of family physicians in the province of Verona, Veneto region, a benchmark for the Italian National Health System. We extracted the data on all the patients with diabetes from the electronic health records of 270 family physicians in 2006 and 2009. We reported the percentage of patients with data recorded for 12 indicators of performance derived from the National Institute for Clinical Excellence diabetes guidelines. Secondarily, we assessed quality of care using the Q-score (the lower the score, the greater the risk of cardiovascular events). Patients with diabetes were 18,507 in 2006 and 20,744 in 2009, and the percentage of patients registered as having diabetes was 4.9% and 5.4% of the total population, respectively (p < 0.001). Data collection improved for all the indicators between 2006 and 2009 but the performance was still low at the end of the study period: patients with no data recorded were 42% in 2006 and 32% in 2009, while patients with data recorded for ≥5 indicators were 9% in 2006 and 17% in 2009. The Q-score improved (mean ± SD, 20.7 ± 3.0 in 2006 vs 21.3 ± 3.6 in 2009, p < 0.001) but most patients were at increased risk of cardiovascular events in both years (Q-score ≤ 20). We documented an improvement in data collection and quality of care for patients with diabetes during the study period. Nonetheless, data collection was still unsatisfactory in comparison with international benchmarks in 2009. Structural interventions in the organization of family medicine, which have not been implemented since the study period, should be prioritised in Italy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 2 6%
Other 6 19%
Unknown 12 39%
Readers by discipline Count As %
Medicine and Dentistry 5 16%
Nursing and Health Professions 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Business, Management and Accounting 2 6%
Other 2 6%
Unknown 15 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2017.
All research outputs
#15,475,586
of 22,997,544 outputs
Outputs from BMC Health Services Research
#5,622
of 7,702 outputs
Outputs of similar age
#181,130
of 287,821 outputs
Outputs of similar age from BMC Health Services Research
#130
of 163 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,702 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,821 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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