Evidence map›Paper›PMID 29187196›Full record

ArticleBMC health services research2017

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

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

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Organization of primary care.Primary health care research & development · 2022
    Review
  5. Review
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sonja T EbertDepartment of Ambulatory Care and Community Medicine, University of Lausanne, Bugnon 44, 1011 Lausanne, Lausanne, Switzerland.
Valérie PittetInstitute of Social and Preventive Medicine, University of Lausanne, Biopole 2, 1010, Lausanne, Switzerland.
Jacques CornuzDepartment of Ambulatory Care and Community Medicine, University of Lausanne, Bugnon 44, 1011 Lausanne, Lausanne, Switzerland.
Nicolas SennDepartment of Ambulatory Care and Community Medicine, University of Lausanne, Bugnon 44, 1011 Lausanne, Lausanne, Switzerland. nicolas.senn@hospvd.ch.

Funding

Fondation Leenaards Scholarship "bridge-relève"Schweizerische Akademie der Medizinischen Wissenschaften none
6 · The paper itself

Abstract

backgroundThe 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.

methodsBased 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.

resultsA 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.

conclusionThe 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.

Indexed as

Quality Indicators, Health CareHealth ResourcesHumansPrimary Health CareSwitzerlandEffectivenessIndicatorMonitoringPerformancePrimary careRandSwiss

Identifiers

PMID29187196
PMCPMC5707782

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.