Evidence map›Paper›PMID 26152139›Full record

ArticleBMC public health2015

Meso level influences on long term condition self-management: stakeholder accounts of commonalities and differences across six European countries.

Anne Rogers, Ivaylo Vassilev, Maria J Jesús Pumar, Elka Todorova, Mari Carmen Portillo, Christina Foss, Jan Koetsenruijter, Nikoleta Ratsika, Manuel Serrano, Ingrid A Ruud Knutsen and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Inequalities in Diabetes Mortality Between Microregions in Hungary.International journal of public health · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Stakeholders in support systems for self-care for chronic illness: the gap between expectations and reality regarding their identity, roles and relationships.Health expectations : an international journal of public participation in health care and health policy · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. 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

15 authors at 6 institutions in 6 countries.

Anne RogersNIHR CLAHRC Wessex, Faculty of Health Sciences, University of Southampton Highfield Campus, University Road, Southampton, SO17 1BJ, UK. a.e.rogers@soton.ac.uk.
Ivaylo VassilevNIHR CLAHRC Wessex, Faculty of Health Sciences, University of Southampton Highfield Campus, University Road, Southampton, SO17 1BJ, UK. i.i.vassilev@soton.ac.uk.
Maria J Jesús PumarSchool of Nursing, University of Navarra, Navarra, Spain. mnavarta@unav.es.
Elka TodorovaDepartment of Sociology, University of National and World Economy, Sofia, Bulgaria. elka.todorova@me.com.
Mari Carmen PortilloSchool of Nursing, University of Navarra, Navarra, Spain. m.c.Portillo-Vega@soton.ac.uk.
Christina FossDepartment of Nursing Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway. i.c.foss@medisin.uio.no.
Jan KoetsenruijterScientific Institute for Quality in Healthcare, Radboud University Medical Centre, Radboud, Netherlands. Jan.Koetsenruijter@radboudumc.nl.
Nikoleta RatsikaClinic of Social and Family Medicine, School of Medicine, University of Crete, Crete, Greece. ratsika@staff.teicrete.gr.
Manuel SerranoFunducaion Educacion, Salud Y Sociedad, Murcia, Spain. manuelserranogil@gmail.com.
Ingrid A Ruud KnutsenDepartment of Nursing Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway. i.a.r.knutsen@medisin.uio.no.
Michel WensingScientific Institute for Quality in Healthcare, Radboud University Medical Centre, Radboud, Netherlands. Michel.Wensing@radboudumc.nl.
Poli RoukovaDepartment of Sociology, University of National and World Economy, Sofia, Bulgaria. proukova@bas.bg.
Evridiki PatelarouClinic of Social and Family Medicine, School of Medicine, University of Crete, Crete, Greece. evridiki.patelarou@kcl.ac.uk.
Anne KennedyNIHR CLAHRC Wessex, Faculty of Health Sciences, University of Southampton Highfield Campus, University Road, Southampton, SO17 1BJ, UK. a.kennedy@soton.ac.uk.
Christos LionisClinic of Social and Family Medicine, School of Medicine, University of Crete, Crete, Greece. lionis@galinos.soc.med.uoc.gr.
University of Crete · GRUniversity of Southampton · GBRadboud University Nijmegen · NLUniversidad de Navarra · ESUniversity of National and World Economy · BGUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEuropean countries are increasingly adopting systems of self -care support (SMS) for long term conditions which focus on enhancing individual, competencies, skills, behaviour and lifestyle changes. To date the focus of policy for engendering greater self- management in the population has been focused in the main on the actions and motivations of individuals. Less attention has been paid to how the broader influences relevant to SMS policy and practice such as those related to food production, distribution and consumption and the structural aspects and economics relating to physical exercise and governance of health care delivery systems might be implicated in the populations ability to self- manage. This study aimed to identify key informants operating with knowledge of both policy and practice related to SMS in order to explore how these influences are seen to impact on the self-management support environment for diabetes type 2.

methodsNinety semi-structured interviews were conducted with key stakeholder informants in Bulgaria, Spain, Greece, Norway, Netherlands and UK. Interviews were transcribed and analysed using thematic and textual analysis.

resultsStakeholders in the six countries identified a range of influences which shaped diabetes self-management (SM). The infrastructure and culture for supporting self- management practice is viewed as driven by political decision-makers, the socio-economic and policy environment, and the ethos and delivery of chronic illness management in formal health care systems. Three key themes emerged during the analysis of data. These were 1) social environmental influences on diabetes self-management 2) reluctance or inability of policy makers to regulate processes and environments related to chronic illness management 3) the focus of healthcare system governance and gaps in provision of self-management support (SMS). Nuances in the salience and content of these themes between partner countries related to the presence and articulation of dedicated prevention and self- management policies, behavioural interventions in primary care, drug company involvement and the impact of measures resulting from economic crises, and differences between countries with higher versus lower social welfare support and public spending on shaping illness management.

conclusionsThe results suggest reasons for giving increasing prominence to meso level influences as a means of rebalancing and improving the effectiveness of implementing an agenda for SMS. There is a need to acknowledge the greater economic and policy challenging environment operating in some countries which act as a source of inequality between countries in addressing SMS for chronic illness management and impacts on people's capacity to undertake self-care activities.

Indexed as

AdultChronic DiseaseDiabetes Mellitus, Type 2EuropeHealthcare DisparitiesHealth PolicyHumansInterviews as TopicMaleMotivationQuality of Health CareSelf CareSocial EnvironmentSocial Support

Identifiers

PMID26152139
PMCPMC4495781
OpenAlexW2135653969

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.