Evidence map›Paper›PMID 29325398›Full record

ArticleInternational journal of health policy and management2018

Health Priorities in French-Speaking Swiss Cantons.

Philippe Chastonay, Jean Simos, Nicolas Cantoreggi, Rudolf Zurkinden, Thomas Mattig

Abstract read
In one paragraph

Article in International journal of health policy and management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Philippe ChastonayUniversity of Fribourg, Fribourg, Switzerland.
Jean SimosInstitute of Global Health, University of Geneva, Geneva, Switzerland.
Nicolas CantoreggiInstitute of Global Health, University of Geneva, Geneva, Switzerland.
Rudolf ZurkindenSwiss Health Promotion Foundation, Bern, Switzerland.
Thomas MattigSwiss Health Promotion Foundation, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Switzerland, the federal authorities, the cantons, and the communes share the responsibility of healthcare, disease prevention and health promotion policies. Yet, the cantons are in most health matters independent in their decisions, thus defining as a matter of fact their own health priorities. We examined and analysed the content of the disease prevention and health promotion plans elaborated during the last decade in six French-speaking cantons with different political contexts and resources, but quite similar population health data, in order to identify the set health priorities. The plans appear significantly inhomogeneous in their structure, scope and priorities. Most of the formal documents are short, in the 16 to 40 pages range. Core values such as equity, solidarity and sustainability are explicitly put forward in 2/6 cantonal plans. Priority health issues shared by all 6 cantons are "physical activity/sedentariness" and "nutrition/food." Mental health is explicitly mentioned in 5 cantonal plans, whereas tobacco and alcohol consumptions are mentioned 4 times. Less attention has been given to topics that appear as major public health challenges at present and in the future in Switzerland, eg, ageing of the population, rise of social inequalities, increase of vulnerable populations. Little attention has also been paid to issues like domestic violence or healthy work environments. Despite some heterogeneity, there is a common base that should make inter-cantonal collaborations possible and coordination with national strategies easily feasible.

Indexed as

Health PrioritiesLanguageHealth PolicyHealth PromotionHumansPreventive MedicineSwitzerlandDisease PreventionHealth PolicyHealth PrioritiesHealth Promotion

Identifiers

PMID29325398
PMCPMC5745863

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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.