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Mendeley readers
Attention Score in Context
| Title |
Consumption of pharmaceutical drugs in exception region of separation for drug prescribing and dispensing program in South Korea
|
|---|---|
| Published in |
Substance Abuse Treatment, Prevention, and Policy, September 2015
|
| DOI | 10.1186/s13011-015-0032-3 |
| Pubmed ID | |
| Authors |
Sang Mi Yuk, Kyu-Tae Han, Sun Jung Kim, Woorim Kim, Tae Yong Sohn, Byungyool Jeon, Young-Man Kim, Eun-Cheol Park |
| Abstract |
In the year 2000, the South Korean government introduced a program for separation of drug prescribing and dispensing. The goals of the program are to reduce misuse of drugs and to contain drug expenditures. The government also designated exception regions for the program to reduce the inconvenience for people who reside in areas with a shortage of health care resources. However, according to government reports, many adverse events related to drug misuse occurred in these exception regions after the program reforms were introduced. Therefore, it is worth investigating the factors that relate to drug consumption so that misuse in exception regions can be reduced. Data from medical institutions, detailed drug supply data, and community health survey data were included in the analysis. Multilevel linear regression analysis using mixed models that included pharmacy-and regional-level variables were used to examine the associations regarding the percentages of drug types consumed (i.e., antipyretic, analgesic, anti-inflammatory drugs, psychotropic drugs, adrenal cortical hormones, and antibiotics). The data used in this analysis were from a total of 16,455 pharmacies. There were 1.9 % pharmacies from program exception regions and 98.1 % pharmacies from program application regions. Compared with the pharmacies in the program application regions, the exception region pharmacies had higher values for percent consumption of the antipyretic, analgesic, anti-inflammatory drugs category, and of the adrenal cortical hormones category (antipyretic, analgesic, anti-inflammatory drugs = β: 3.19, Standard Error (SE): 0.82, t: 3.88, p-value < 0.05; adrenal cortical hormones = β: 0.72, SE: 0.07, t: 9.92, p-value < 0.05). Our results suggested that pharmacies in exception regions supplied more antipyretic, analgesic, anti-inflammatory drugs, and more adrenal cortical hormones compared with the pharmacies where separation of drug prescribing and dispensing had been implemented. Health care professionals and health policy makers should consider management of health care expenditure by the category of drugs consumed, especially in program exception regions. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 17% |
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Other | 4 | 10% |
| Student > Postgraduate | 4 | 10% |
| Other | 4 | 10% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 15% |
| Nursing and Health Professions | 5 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 10% |
| Psychology | 4 | 10% |
| Social Sciences | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 13 | 32% |
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 05 September 2016.
All research outputs
#15,383,207
of 22,886,568 outputs
Outputs from Substance Abuse Treatment, Prevention, and Policy
#546
of 670 outputs
Outputs of similar age
#143,574
of 245,129 outputs
Outputs of similar age from Substance Abuse Treatment, Prevention, and Policy
#7
of 10 outputs
Altmetric has tracked 22,886,568 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 670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 10th percentile – i.e., 10% 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 245,129 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.