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Defining and measuring population health quality of outpatient diabetes care in Israel: lessons from the quality indicators in community health program

Overview of attention for article published in Israel Journal of Health Policy Research, May 2018
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Title
Defining and measuring population health quality of outpatient diabetes care in Israel: lessons from the quality indicators in community health program
Published in
Israel Journal of Health Policy Research, May 2018
DOI 10.1186/s13584-018-0216-1
Pubmed ID
Authors

Leonard M. Pogach, David C. Aron

Abstract

In Israel, as in other Organization for Economic Co-operation and Development countries, performance measurement is a key public health strategy in monitoring and improving population health outcomes. The Israeli Quality Indicators in Community Healthcare (QICH) program has utilized electronic health records to monitor ambulatory care for the entire Israeli population since 2002. In 2006 the measures were updated to include laboratory values. They have been subsequently revised by stratifying by age, duration, adding medications, and changing frequency of testing for certain process measures. However, the QICH glycemic control measures do not address co-morbid conditions either thru exclusion criteria or higher target ranges. They also do not address potential over treatment in patients with complex medication conditions.In the United States there have also been changes in nationally endorsed diabetes specific performance measures since 2007. However, there have also been public disagreements among United States professional societies, government agencies, and performance measurement organizations as to whether the current glycemic dichotomous ("all or none") threshold measures, without exclusion criteria, are consistent with the most recent evidence. Specifically, most guidelines now recommend individualized target goals based upon co-morbid conditions, risk of harms from medications, and patient preferences.Concerns have been raised that the current glycemic performance measures have resulted in inappropriate care, such as medication over-treatment, and serious harms, such as hypoglycemia, especially in older adults. There currently are no national surveillance systems or measures that monitor these untoward outcomes.We recommend several actions that QICH could consider to advance diabetes specific performance measurement science and population health: Convene an international conference; implement technical modifications of current measures and surveillance systems; and, most importantly, acknowledge patient autonomy by developing measures that document individualization of target values using shared decision making.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 25%
Student > Bachelor 5 9%
Researcher 5 9%
Student > Doctoral Student 4 7%
Student > Ph. D. Student 4 7%
Other 3 5%
Unknown 20 36%
Readers by discipline Count As %
Nursing and Health Professions 6 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 9%
Medicine and Dentistry 5 9%
Biochemistry, Genetics and Molecular Biology 3 5%
Social Sciences 3 5%
Other 9 16%
Unknown 24 44%
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 04 May 2018.
All research outputs
#20,599,453
of 25,311,095 outputs
Outputs from Israel Journal of Health Policy Research
#437
of 625 outputs
Outputs of similar age
#260,777
of 333,027 outputs
Outputs of similar age from Israel Journal of Health Policy Research
#11
of 14 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 625 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.