Evidence map›Paper›PMID 28476126›Full record

ReviewBMC health services research2017

Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study.

Joana Mora, Miren David Iturralde, Lucía Prieto, Cristina Domingo, Marie-Pierre Gagnon, Catalina Martínez-Carazo, Anna Giné March, Daniele De Massari, Tino Martí, Marco Nalin and 4 more

Abstract readReview
In one paragraph

Review 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, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Observational
  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

14 authors.

Joana MoraKronikgune-Centro de Investigación en Cronicidad, Bilbao, Basque Country, Spain.
Miren David IturraldeKronikgune-Centro de Investigación en Cronicidad, Bilbao, Basque Country, Spain.
Lucía PrietoKronikgune-Centro de Investigación en Cronicidad, Bilbao, Basque Country, Spain.
Cristina DomingoOsakidetza-Basque Health Service, Bilbao, Spain.
Marie-Pierre GagnonLaval University, Québec, Canada.
Catalina Martínez-CarazoKronikgune-Centro de Investigación en Cronicidad, Bilbao, Basque Country, Spain.
Anna Giné MarchKronikgune-Centro de Investigación en Cronicidad, Bilbao, Basque Country, Spain.
Daniele De MassariPhilips Electronics Nederland B. V., Eindhoven, Netherlands.
Tino MartíFundació Ticsalut, Catalonia, Spain.
Marco NalinTelbios S.p.a., Milan, Italy.
Francesca AvolioARES Puglia, Gallipoli, Italy.
Jean BousquetCentre hospitalier régional universitaire de Montpellier, Montpellier, France.
Esteban de Manuel KeenoyKronikgune-Centro de Investigación en Cronicidad, Bilbao, Basque Country, Spain. edemanuel@kronikgune.org.
all ASSEHS group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lack of proven efficacy of new healthcare interventions represents a problem for health systems globally. It is partly related to suboptimal implementation processes, leading to poor adoption of new interventions. Activation of Stratification Strategies and Results of the interventions on frail patients of Healthcare Services (ASSEHS) EU project (N° 2013 12 04) aims to study current existing health Risk Stratification (RS) strategies and tools on frail elderly patients. This paper aims at identifying variables that make the implementation of population RS tools feasible in different healthcare services.

methodsTwo different methods have been used to identify the key elements in stratification implementation; i) a Scoping Review, in order to search and gather scientific evidence and ii) Semi-structured interviews with six key experts that had been actively involved in the design and/or implementation of RS strategies. It aims to focus the implementation construct on real-life contextual understandings, multi-level perspectives, and cultural influences.

resultsA Feasibility Framework has been drawn. Two dimensions impact the feasibility of RS: (i) Planning, deployment and change management and (ii) Care intervention. The former comprises communication, training and mutual learning, multidisciplinarity of the team, clinicians' engagement, operational plan and ICT display and functionalities. The latter includes case finding and selection of the target population, pathway definition and quality improvement process.

conclusionsThe Feasibility Framework provides a list of key elements that should be considered for an effective implementation of population risk stratification interventions. It helps to identify, plan and consider relevant elements to ensure a proper RS implementation.

Indexed as

AgedDelivery of Health CareFeasibility StudiesFrail ElderlyHealth ServicesHealth Services ResearchHumansQuality ImprovementRisk Assessment

Identifiers

PMID28476126
PMCPMC5420130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.