scholarly journals Reducing Care Utilisation through Self-management Interventions (RECURSIVE): a systematic review and meta-analysis

2014 ◽  
Vol 2 (54) ◽  
pp. 1-200 ◽  
Author(s):  
Maria Panagioti ◽  
Gerry Richardson ◽  
Elizabeth Murray ◽  
Anne Rogers ◽  
Anne Kennedy ◽  
...  

BackgroundA critical part of future service delivery will involve improving the degree to which people become engaged in ‘self-management’. Providing better support for self-management has the potential to make a significant contribution to NHS efficiency, as well as providing benefits in patient health and quality of care.ObjectiveTo determine which models of self-management support are associated with significant reductions in health services utilisation (including hospital use) without compromising outcomes, among patients with long-term conditions.Data sourcesCochrane Central Register of Controlled Trials, Cumulative Index to Nursing and Allied Health, EconLit (the American Economic Association’s electronic bibliography), EMBASE, Health Economics Evaluations Database, MEDLINE (the US National Library of Medicine’s database), MEDLINE In-Process & Other Non-Indexed Citations, NHS Economic Evaluation Database (NHS EED) and PsycINFO (the behavioural science and mental health database), as well as the reference lists of published reviews of self-management support.MethodsWe included patients with long-term conditions in all health-care settings and self-management support interventions with varying levels of additional professional support and input from multidisciplinary teams. Main outcome measures were quantitative measures of service utilisation (including hospital use) and quality of life (QoL). We presented the results for each condition group using a permutation plot, plotting the effect of interventions on utilisation and outcomes simultaneously and placing them in quadrants of the cost-effectiveness plane depending on the pattern of outcomes. We also conducted conventional meta-analyses of outcomes.ResultsWe found 184 studies that met the inclusion criteria and provided data for analysis. The most common categories of long-term conditions included in the studies were cardiovascular (29%), respiratory (24%) and mental health (16%). Of the interventions, 5% were categorised as ‘pure self-management’ (without additional professional support), 20% as ‘supported self-management’ (< 2 hours’ support), 47% as ‘intensive self-management’ (> 2 hours’ support) and 28% as ‘case management’ (> 2 hours’ support including input from a multidisciplinary team). We analysed data across categories of long-term conditions and also analysed comparing self-management support (pure, supported, intense) with case management. Only a minority of self-management support studies reported reductions in health-care utilisation in association with decrements in health. Self-management support was associated with small but significant improvements in QoL. Evidence for significant reductions in utilisation following self-management support interventions were strongest for interventions in respiratory and cardiovascular disorders. Caution should be exercised in the interpretation of the results, as we found evidence that studies at higher risk of bias were more likely to report benefits on some outcomes. Data on hospital use outcomes were also consistent with the possibility of small-study bias.LimitationsSelf-management support is a complex area in which to undertake literature searches. Our analyses were limited by poor reporting of outcomes in the included studies, especially concerning health-care utilisation and costs.ConclusionsVery few self-management support interventions achieve reductions in utilisation while compromising patient outcomes. Evidence for significant reductions in utilisation were strongest for respiratory disorders and cardiac disorders. Research priorities relate to better reporting of the content of self-management support, exploration of the impact of multimorbidity and assessment of factors influencing the wider implementation of self-management support.Study registrationThis study is registered as PROSPERO CRD42012002694.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

2014 ◽  
Vol 2 (53) ◽  
pp. 1-580 ◽  
Author(s):  
Stephanie JC Taylor ◽  
Hilary Pinnock ◽  
Eleni Epiphaniou ◽  
Gemma Pearce ◽  
Hannah L Parke ◽  
...  

BackgroundDespite robust evidence concerning self-management for some long-term conditions (LTCs), others lack research explicitly on self-management and, consequently, some patient groups may be overlooked.AimTo undertake a rapid, systematic overview of the evidence on self-management support for LTCs to inform health-care commissioners and providers about what works, for whom, and in what contexts.MethodsSelf-management is ‘the tasks . . . individuals must undertake to live with one or more chronic conditions . . . [including] . . . having the confidence to deal with medical management, role management and emotional management of their conditions’. We convened an expert workshop and identified characteristics of LTCs potentially of relevance to self-management and 14 diverse exemplar LTCs (stroke, asthma, type 2 diabetes mellitus, depression, chronic obstructive pulmonary disease, chronic kidney disease, dementia, epilepsy, hypertension, inflammatory arthropathies, irritable bowel syndrome, low back pain, progressive neurological disorders and type 1 diabetes mellitus). For each LTC we conducted systematic overviews of systematic reviews of randomised controlled trials (RCTs) of self-management support interventions (‘quantitative meta-reviews’); and systematic overviews of systematic reviews of qualitative studies of patients’ experiences relating to self-management (‘qualitative meta-reviews’). We also conducted an original systematic review of implementation studies of self-management support in the LTCs. We synthesised all our data considering the different characteristics of LTCs. In parallel, we developed a taxonomy of the potential components of self-management support.ResultsWe included 30 qualitative systematic reviews (including 515 unique studies), 102 quantitative systematic reviews (including 969 RCTs), and 61 studies in the implementation systematic review. Effective self-management support interventions are multifaceted, should be tailored to the individual, their culture and beliefs, a specific LTC and position on the disease trajectory, and underpinned by a collaborative/communicative relationship between the patient and health-care professional (HCP) within the context of a health-care organisation that actively promotes self-management. Self-management support is a complex intervention and although many components were described and trialled in the studies no single component stood out as more important than any other. Core components include (1) provision of education about the LTC, recognising the importance of understanding patients’ pre-existing knowledge and beliefs about their LTC; (2) psychological strategies to support adjustment to life with a LTC; (3) strategies specifically to support adherence to treatments; (4) practical support tailored to the specific LTC, including support around activities of daily living for disabling conditions, action plans in conditions subject to marked exacerbations, intensive disease-specific training to enable self-management of specific clinical tasks; and (5) social support as appropriate. Implementation requires a whole-systems approach which intervenes at the level of the patient, the HCP and the organisation. The health-care organisation is responsible for providing the means (both training and time/material resources) to enable HCPs to implement, and patients to benefit from, self-management support, regularly evaluating self-management processes and clinical outcomes. More widely there is a societal need to address public understanding of LTCs. The lack of public story for many conditions impacted on patient help-seeking behaviour and public perceptions of need.ConclusionsSupporting self-management is inseparable from the high-quality care for LTCs. Commissioners and health-care providers should promote a culture of actively supporting self-management as a normal, expected, monitored and rewarded aspect of care. Further research is needed to understand how health service managers and staff can achieve this culture change in their health-care organisations.Study registrationThis study is registered as PROSPERO CRD42012002898.FundingThe National Institute for Health Research Health Services and Delivery Research programme.


2018 ◽  
Author(s):  
Sagar Joglekar ◽  
Nishanth Sastry ◽  
Neil S Coulson ◽  
Stephanie JC Taylor ◽  
Anita Patel ◽  
...  

BACKGROUND Self-management support can improve health and reduce health care utilization by people with long-term conditions. Online communities for people with long-term conditions have the potential to influence health, usage of health care resources, and facilitate illness self-management. Only recently, however, has evidence been reported on how such communities function and evolve, and how they support self-management of long-term conditions in practice. OBJECTIVE The aim of this study is to gain a better understanding of the mechanisms underlying online self-management support systems by analyzing the structure and dynamics of the networks connecting users who write posts over time. METHODS We conducted a longitudinal network analysis of anonymized data from 2 patients’ online communities from the United Kingdom: the Asthma UK and the British Lung Foundation (BLF) communities in 2006-2016 and 2012-2016, respectively. RESULTS The number of users and activity grew steadily over time, reaching 3345 users and 32,780 posts in the Asthma UK community, and 19,837 users and 875,151 posts in the BLF community. People who wrote posts in the Asthma UK forum tended to write at an interval of 1-20 days and six months, while those in the BLF community wrote at an interval of two days. In both communities, most pairs of users could reach one another either directly or indirectly through other users. Those who wrote a disproportionally large number of posts (the superusers) represented 1% of the overall population of both Asthma UK and BLF communities and accounted for 32% and 49% of the posts, respectively. Sensitivity analysis showed that the removal of superusers would cause the communities to collapse. Thus, interactions were held together by very few superusers, who posted frequently and regularly, 65% of them at least every 1.7 days in the BLF community and 70% every 3.1 days in the Asthma UK community. Their posting activity indirectly facilitated tie formation between other users. Superusers were a constantly available resource, with a mean of 80 and 20 superusers active at any one time in the BLF and Asthma UK communities, respectively. Over time, the more active users became, the more likely they were to reply to other users’ posts rather than to write new ones, shifting from a help-seeking to a help-giving role. This might suggest that superusers were more likely to provide than to seek advice. CONCLUSIONS In this study, we uncover key structural properties related to the way users interact and sustain online health communities. Superusers’ engagement plays a fundamental sustaining role and deserves research attention. Further studies are needed to explore network determinants of the effectiveness of online engagement concerning health-related outcomes. In resource-constrained health care systems, scaling up online communities may offer a potentially accessible, wide-reaching and cost-effective intervention facilitating greater levels of self-management.


2018 ◽  
Vol 6 (1) ◽  
pp. 1-154 ◽  
Author(s):  
David G Thompson ◽  
Sarah O’Brien ◽  
Anne Kennedy ◽  
Anne Rogers ◽  
Peter Whorwell ◽  
...  

BackgroundChronic gastrointestinal disorders are major burdens in primary care. Although there is some evidence that enhancing self-management can improve outcomes, it is not known if such models of care can be implemented at scale in routine NHS settings and whether or not it is possible to develop effective risk assessment procedures to identify patients who are likely to become chronically ill.ObjectivesWhat is the clinical effectiveness and cost-effectiveness of an intervention to enhance self-management support for patients with chronic conditions when translated from research settings into routine care? What are the barriers and facilitators that affect the implementation of an intervention to enhance self-management support among patients, clinicians and organisations? Is it possible to develop methods to identify patients at risk of long-term problems with functional gastrointestinal disorders in primary care? Data sources included professional and patient interviews, patient self-report measures and data on service utilisation.DesignA pragmatic, two-arm, practice-level cluster Phase IV randomised controlled trial evaluating outcomes and costs associated with the intervention, with associated process evaluation using interviews and other methods. Four studies around identification and risk assessment: (1) a general practitioner (GP) database study to describe how clinicians in primary care record consultations with patients who experience functional lower gastrointestinal symptoms; (2) a validation of a risk assessment tool; (3) a qualitative study to explore GPs’ views and experiences; and (4) a second GP database study to investigate patient profiles in irritable bowel syndrome, inflammatory bowel disease and abdominal pain.SettingSalford, UK.ParticipantsPeople with long-term conditions and professionals in primary care.InterventionsA practice-level intervention to train practitioners to assess patient self-management capabilities and involve them in a choice of self-management options.Main outcome measuresPatient self-management, care experience and quality of life, health-care utilisation and costs.ResultsNo statistically significant differences were found between patients attending the trained practices and those attending control practices on any of the primary or secondary outcomes. The intervention had little impact on either costs or effects within the time period of the trial. In the practices, self-management tools failed to be normalised in routine care. Full assessment of the predictive tool was not possible because of variable case definitions used in practices. There was a lack of perceived clinical benefit among GPs.LimitationsThe intervention was not implemented fully in practice. Assessment of the risk assessment tool faced barriers in terms of the quality of codting in GP databases and poor recruitment of patients.ConclusionsThe Whole system Informing Self-management Engagement self-management (WISE) model did not add value to existing care for any of the long-term conditions studied.Future workThe active components required for effective self-management support need further study. The results highlight the challenge of delivering improvements to quality of care for long-term conditions. There is a need to develop interventions that are feasible to deliver at scale, yet demonstrably clinically effective and cost-effective. This may have implications for the piloting of interventions and linking implementation more clearly to local commissioning strategies.Trial registrationCurrent Controlled Trial ISRCTN90940049.FundingThis project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full inProgramme Grants for Applied Research; Vol. 6, No. 1. See the NIHR Journals Library website for further project information.


2017 ◽  
Vol 23 (5) ◽  
pp. 420 ◽  
Author(s):  
Anna Askerud ◽  
Jenny Conder

The health system in New Zealand and Australia requires health practitioners to prepare for the challenge of long-term conditions. Wagner’s 1998 Chronic Care Model advocates a move away from the traditional acute model of primary health care to a model that addresses the long-term episodic nature of chronic disease. Nurse case management has been developed over the last 2 decades as a means to coordinate health services for people with long-term conditions. This meta-synthesis combines the results of 15 qualitative research studies that have a similar research question regarding peoples’ perceptions of nurse case management. The research synthesises the experiences of people with long-term conditions on the quality of care under a nurse case management model of primary health care. Over 1000 people were represented across the studies, and the results suggest that people had a high degree of confidence and trust in their nurse case manager, were better able to manage their health conditions with nurse case management support, and had better access to appropriate health care. This research suggests that nurse case management is an effective model of care and may contribute to improved quality of life and better health care for those with long-term health conditions.


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