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Development of a monitoring instrument to assess the performance of the Swiss primary care system

Overview of attention for article published in BMC Health Services Research, November 2017
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Title
Development of a monitoring instrument to assess the performance of the Swiss primary care system
Published in
BMC Health Services Research, November 2017
DOI 10.1186/s12913-017-2696-z
Pubmed ID
Authors

Sonja T. Ebert, Valérie Pittet, Jacques Cornuz, Nicolas Senn

Abstract

The Swiss health system is customer-driven with fee-for-service paiement scheme and universal coverage. It is highly performing but expensive and health information systems are scarcely implemented. The Swiss Primary Care Active Monitoring (SPAM) program aims to develop an instrument able to describe the performance and effectiveness of the Swiss PC system. Based on a Literature review we developed a conceptual framework and selected indicators according to their ability to reflect the Swiss PC system. A two round modified RAND method with 24 inter-/national experts took place to select primary/secondary indicators (validity, clarity, agreement). A limited set of priority indicators was selected (importance, priority) in a third round. A conceptual framework covering three domains (structure, process, outcome) subdivided into twelve sections (funding, access, organisation/ workflow of resources, (Para-)Medical training, management of knowledge, clinical-/interpersonal care, health status, satisfaction of PC providers/ consumers, equity) was generated. 365 indicators were pre-selected and 335 were finally retained. 56 were kept as priority indicators.- Among the remaining, 199 were identified as primary and 80 as secondary indicators. All domains and sections are represented. The development of the SPAM program allowed the construction of a consensual instrument in a traditionally unregulated health system through a modified RAND method. The selected 56 priority indicators render the SPAM instrument a comprehensive tool supporting a better understanding of the Swiss PC system's performance and effectiveness as well as in identifying potential ways to improve quality of care. Further challenges will be to update indicators regularly and to assess validity and sensitivity-to-change over time.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Bachelor 6 12%
Researcher 5 10%
Student > Doctoral Student 3 6%
Lecturer 3 6%
Other 11 22%
Unknown 14 29%
Readers by discipline Count As %
Medicine and Dentistry 14 29%
Nursing and Health Professions 4 8%
Social Sciences 2 4%
Arts and Humanities 2 4%
Economics, Econometrics and Finance 2 4%
Other 8 16%
Unknown 17 35%
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 12 May 2018.
All research outputs
#15,486,175
of 23,012,811 outputs
Outputs from BMC Health Services Research
#5,625
of 7,704 outputs
Outputs of similar age
#265,765
of 438,556 outputs
Outputs of similar age from BMC Health Services Research
#84
of 116 outputs
Altmetric has tracked 23,012,811 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 7,704 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 17th percentile – i.e., 17% 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 438,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.