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Mendeley readers
Attention Score in Context
| Title |
Effectiveness evaluation of quota payment for specific diseases under global budget: a typical provider payment system reform in rural China
|
|---|---|
| Published in |
BMC Health Services Research, August 2018
|
| DOI | 10.1186/s12913-018-3415-0 |
| Pubmed ID | |
| Authors |
Hao-miao Li, Ying-chun Chen, Hong-xia Gao, Yan Zhang, Liangkai Chen, Jing-jing Chang, Dai Su, Shi-han Lei, Di Jiang, Xiao-mei Hu |
| Abstract |
Quota payment for specific diseases under global budget is one of the most typical modes of provider payment system reform in rural China. This study aimed to assess this reform mode from aspects of the total fee, structure of the fee and enrollees' benefits. A total of 127,491 inpatient records from 2014 to 2016 were extracted from the New Rural Cooperative Medical Scheme (NRCMS) database in Weiyuan County, Gansu Province. Total fee, actual compensation ratio, out-of-pocket ratio, constituent ratio of the treatment fee, constituent ratio of the inspection and laboratory fee, and length of stay were selected as dependent variables. Both generalized additive models (GAMs) and multiple linear regression models were used to measure the change in dependent variables along with year. Prior to the adjustment of the compensation type, out-of-pocket ratio and length of stay decreased, while total fee, actual compensation ratio, constituent ratio of the treatment fee, and constituent ratio of the inspection and laboratory fee increased. After the compensation type was adjusted, the mean of the total fee increased rapidly in 2015 and remained stable in 2016. The mean length of stay increased in 2015 but decreased in 2016. A comparison of inpatients suffering from diseases covered by quota payments and those suffering from general diseases revealed that total fee, out-of-pocket ratio, and length of stay decreased and actual compensation ratio increased for the former, whereas the opposite was true for the latter. Constituent ratio of the treatment fee and constituent ratio of the inspection and laboratory fee increased for both samples, except for the constituent ratio of the inspection and laboratory fee of quota payment diseases in 2016, which did not change. Quota payment for specific diseases under global budget had obviously positive effects on cost control in Weiyuan, Gansu. Considering the limited coverage of quota payment for diseases, the long-term effect of this reform mode and its replicability awaits further evaluation. |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 24% |
| Student > Master | 4 | 16% |
| Student > Doctoral Student | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 20% |
| Medicine and Dentistry | 4 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Economics, Econometrics and Finance | 2 | 8% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 8 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 14 August 2018.
All research outputs
#5,831,917
of 23,099,576 outputs
Outputs from BMC Health Services Research
#2,580
of 7,741 outputs
Outputs of similar age
#99,809
of 330,840 outputs
Outputs of similar age from BMC Health Services Research
#102
of 191 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,741 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 330,840 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.