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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quality of primary health care in Poland from the perspective of the physicians providing it
|
|---|---|
| Published in |
BMC Primary Care, November 2016
|
| DOI | 10.1186/s12875-016-0550-8 |
| Pubmed ID | |
| Authors |
Anna Krztoń-Królewiecka, Marek Oleszczyk, Willemijn LA Schäfer, Wienke GW Boerma, Adam Windak |
| Abstract |
Primary care (PC) allows patients to address most of their health needs and is essential for high quality healthcare systems. The aim of the study was to analyze the insight of nine core dimensions of Polish PC system: "Economic conditions", "Workforce", "Accessibility", "Comprehensiveness", "Continuity", "Coordination", "Quality of care", "Efficiency" and "Equity" and to identify the characteristics of the providing physicians that influence their perception of the quality of care. A cross-sectional study was conducted as part of an international QUALICOPC project. In Poland a nationally representative sample of 220 PC physicians was selected from the database of Polish National Health Fund by a stratified random sampling procedure. The research tool was a standardized 64-item questionnaire. Each of the respondents' answers were assigned a numerical value ranging from-1 (extremely negative) to +1 (extremely positive). The quality indicators were calculated as an arithmetic mean of variables representing particular PC dimensions. The mean scores for the majority of the dimensions had negative values. Accessibility of care was perceived as the best dimension, while the economic conditions were evaluated most negatively. Only a small part of variation in quality evaluation could be explained by physicians' characteristics. The negative evaluation of primary care reflects the growing crisis in the health care system in Poland. There is an urgent need to apply complex recovery measures to improve the quality of primary care. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 16% |
| Student > Bachelor | 9 | 12% |
| Researcher | 9 | 12% |
| Student > Doctoral Student | 8 | 11% |
| Student > Ph. D. Student | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 22 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 19% |
| Nursing and Health Professions | 10 | 14% |
| Social Sciences | 7 | 10% |
| Business, Management and Accounting | 4 | 5% |
| Economics, Econometrics and Finance | 4 | 5% |
| Other | 6 | 8% |
| Unknown | 28 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 September 2021.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from BMC Primary Care
#1,612
of 2,359 outputs
Outputs of similar age
#196,261
of 317,464 outputs
Outputs of similar age from BMC Primary Care
#17
of 27 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 28th percentile – i.e., 28% 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 317,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.