scholarly journals Self-management support interventions to reduce health care utilisation without compromising outcomes: a systematic review and meta-analysis

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Maria Panagioti ◽  
Gerry Richardson ◽  
Nicola Small ◽  
Elizabeth Murray ◽  
Anne Rogers ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Meta Analysis ◽  
Health Care Utilisation ◽  
Self Management ◽  
Management Support ◽  
Care Utilisation

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 ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Utilisation ◽  
Professional Support ◽  
Self Management ◽  
Management Support ◽  
Long Term Conditions ◽  
Care Utilisation ◽  
Hospital Use

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.

scholarly journals The Effectiveness of Self-Management of Hypertension in Adults Using Mobile Health: Systematic Review and Meta-Analysis

10.2196/17776 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e17776 ◽  
Author(s):  
Ran Li ◽  
Ning Liang ◽  
Fanlong Bu ◽  
Therese Hesketh
Keyword(s):  
Systematic Review ◽  
Blood Pressure ◽  
Health Care ◽  
Medication Adherence ◽  
Mobile Health ◽  
Meta Analysis ◽  
Self Management ◽  
Narrative Synthesis ◽  
Management Behavior ◽  
Mhealth Intervention

Background Effective treatment of hypertension requires careful self-management. With the ongoing development of mobile technologies and the scarcity of health care resources, mobile health (mHealth)–based self-management has become a useful treatment for hypertension, and its effectiveness has been assessed in many trials. However, there is a paucity of comprehensive summaries of the studies using both qualitative and quantitative methods. Objective This systematic review aimed to measure the effectiveness of mHealth in improving the self-management of hypertension for adults. The outcome measures were blood pressure (BP), BP control, medication adherence, self-management behavior, and costs. Methods A systematic search was conducted using 5 electronic databases. The snowballing method was used to scan the reference lists of relevant studies. Only peer-reviewed randomized controlled trials (RCTs) published between January 2010 and September 2019 were included. Data extraction and quality assessment were performed by 3 researchers independently, adhering to the validation guideline and checklist. Both a meta-analysis and a narrative synthesis were carried out. Results A total of 24 studies with 8933 participants were included. Of these, 23 studies reported the clinical outcome of BP, 12 of these provided systolic blood pressure (SBP) and diastolic blood pressure (DBP) data, and 16 articles focused on change in self-management behavior and medication adherence. All 24 studies were included in the narrative synthesis. According to the meta-analysis, a greater reduction in both SBP and DBP was observed in the mHealth intervention groups compared with control groups, −3.78 mm Hg (P<.001; 95% CI −4.67 to −2.89) and −1.57 mm Hg (P<.001; 95% CI −2.28 to −0.86), respectively. Subgroup analyses showed consistent reductions in SBP and DBP across different frequencies of reminders, interactive patterns, intervention functions, and study duration subgroups. A total of 16 studies reported better medication adherence and behavioral change in the intervention groups, while 8 showed no significant change. Six studies included an economic evaluation, which drew inconsistent conclusions. However, potentially long-term financial benefits were mentioned in all economic evaluations. All studies were assessed to be at high risk of bias. Conclusions This review found that mHealth self-management interventions were effective in BP control. The outcomes of this review showed improvements in self-management behavior and medication adherence. The most successful mHealth intervention combined the feature of tailored messages, interactive communication, and multifaceted functions. Further research with longer duration and cultural adaptation is necessary. With increasing disease burden from hypertension globally, mHealth offers a potentially effective method for self-management and control of BP. mHealth can be easily integrated into existing health care systems. Trial Registration PROSPERO CRD42019152062; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=152062

scholarly journals Is the task-shifting in self-management support effective? A systematic review and meta-analysis

2016 ◽  
Vol 26 (suppl_1) ◽  
Author(s):  
A Massimi ◽  
C De Vito ◽  
I Brufola ◽  
A Corsaro ◽  
C Marzuillo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Task Shifting ◽  
Self Management ◽  
Management Support

scholarly journals A rapid synthesis of the evidence on interventions supporting self-management for people with long-term conditions: PRISMS – Practical systematic RevIew of Self-Management Support for long-term conditions

2014 ◽  
Vol 2 (53) ◽  
pp. 1-580 ◽  
Author(s):  
Stephanie JC Taylor ◽  
Hilary Pinnock ◽  
Eleni Epiphaniou ◽  
Gemma Pearce ◽  
Hannah L Parke ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Systematic Reviews ◽  
Self Management ◽  
Management Support ◽  
Health Care Organisation ◽  
Long Term Conditions ◽  
Care Organisation ◽  
Overviews Of Systematic Reviews

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.

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