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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Are low and high utilization related to the way GPs manage their practices? An observational study
|
|---|---|
| Published in |
BMC Primary Care, April 2018
|
| DOI | 10.1186/s12875-018-0732-7 |
| Pubmed ID | |
| Authors |
W. A. de Graaf-Ruizendaal, L. van der Hoek, D. H. de Bakker |
| Abstract |
General practice care plays a key role in keeping healthcare effective and cost-efficient. However, variation in the utilization rates of practices may reveal variation in practice performance. Our research goal is to investigate whether the socio-demographic profile of the patients' area of residence and practice organization characteristics influence the low or high utilization of general practice care. Data on the utilization of general practice care were derived from the electronic health records of 232 general practices participating in the NIVEL Primary Care Database for the year 2013. Census data for the year 2013 were matched with the postal code of the patients. A small area estimation (SAE) technique was used to calculate the estimated utilization rate for general practice care per practice based on the socio-demographic profile of the patients' area of residence. Subsequently, the actual utilization rates were compared to the estimated rates per practice. Linear regression analysis was used to link the differences between the actual and estimated utilization rates to practice organization characteristics. The socio-demographic profile of the patients' area of residence accounted for 25.7% of the estimated utilization rates per practice. Practice organization characteristics accounted for 19.3% of the difference between the actual utilization rates and the estimated rates. Practices had higher utilization rates than estimated when a practice was a dual practice, when it employed female GPs, when it employed other healthcare providers and/or when it offered more services related to a disease management programme. We found that utilization rates of general practice care can be partially explained by the socio-demographic profile of the patients' area of residence, but also by practice organization characteristics. Insight into these factors provides both GPs and the other stakeholders involved in the organization of general practice care with information to help reflect on the utilization of care. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 2 | 40% |
| Spain | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 18% |
| Student > Master | 7 | 16% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 14 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 30% |
| Nursing and Health Professions | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Engineering | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 18 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 May 2018.
All research outputs
#14,541,990
of 25,382,440 outputs
Outputs from BMC Primary Care
#1,257
of 2,359 outputs
Outputs of similar age
#168,461
of 339,757 outputs
Outputs of similar age from BMC Primary Care
#26
of 44 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 45th percentile – i.e., 45% 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 339,757 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 50% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.