ArticleBMC public health2015
Meso level influences on long term condition self-management: stakeholder accounts of commonalities and differences across six European countries.
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.
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.
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.
Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Beyond individual responsibility: Exploring lay understandings of the contribution of environments on personal trajectories of obesity.PloS one · 2024Article
- Inequalities in Diabetes Mortality Between Microregions in Hungary.International journal of public health · 2023Article
- Article
- How can environmental degradation and income disparities influence national health: an eye bird view on China's provinces.Frontiers in public health · 2023Article
- Civic engagement and mental health system strengthening in Indonesia: a qualitative examination of the views of health professionals and national key stakeholders.BMC psychiatry · 2020Article
- Social network influences and the adoption of obesity-related behaviours in adults: a critical interpretative synthesis review.BMC public health · 2019Review
- 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 · 2017Article
- Interventions and working relationships of voluntary organisations for diabetes self-management: A cross-national study.International journal of nursing studies · 2017Article
- Re-inventing care planning in mental health: stakeholder accounts of the imagined implementation of a user/carer involved intervention.BMC health services research · 2015Article
- Modelling self-management pathways for people with diabetes in primary care.BMC family practice · 2015Article
- Bridging knowledge to develop an action plan for integrated care for chronic diseases in Greece.International journal of integrated careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.