scholarly journals Erratum to: A systematic review of outcomes of chronic disease self-management interventions

2012 ◽  
Vol 22 (7) ◽  
pp. 1817-1817 ◽  
Author(s):  
Sandra Nolte ◽  
Richard H. Osborne
2021 ◽  
Author(s):  
Lydia Ould Brahim ◽  
Sylvie Lambert ◽  
Nancy Feeley ◽  
Chelsea Coumoundouros ◽  
Jamie Schaffler ◽  
...  

Abstract Background: Chronic diseases are the leading cause of death worldwide. It is estimated that 20% of adults with chronic physical diseases experience concomitant depression, increasing their risk of morbidity and mortality. Low intensity psychosocial interventions, such as self-management (SM), are part of recommended treatment; however, no systematic review has evaluated the effects of depression SM interventions for this population. Objectives: The primary objective was to examine the effect of SM interventions on reducing depressive symptomatology in adults with chronic disease(s) and co-occurring depressive symptoms. Secondary objectives were to evaluate the effect of these interventions on improving other psychosocial and physiological outcomes (e.g., anxiety, glycemic control) and to assess potential differential effect based on key participant and intervention characteristics (e.g., chronic disease, provider). Methods: Studies comparing depression SM interventions to a control group were identified through a) systematic searches of databases to June 2018 [MEDLINE (1946 -), EMBASE (1996 -), PsycINFO (1967 -), CINAHL (1984 -)] and b) secondary ‘snowball’ search strategies. The methodological quality of included studies was critically reviewed. Screening of all titles, abstracts, and full texts for eligibility was assessed independently by two authors. Data were extracted by one author and verified by a second. Results: Fifteen studies were retained: 12 for meta-analysis and three for descriptive review. In total, these trials included 2064 participants and most commonly evaluated interventions for people with cancer (n = 7) or diabetes (n = 4). From baseline to < 6 months (T1), the pooled mean effect size was -0.47 [95% CI -0.73, -0.21] as compared to control groups for the primary outcome of depression and -0.53 [95% CI -0.91, -0.15] at ≥ 6-months (T2). Results were also significant for anxiety (T1 and T2) and glycemic control (T2). SM skills of decision-making and taking action were significant moderators of depression at T1. Conclusion: SM interventions show promise in improving depression and anxiety in those with concomitant chronic physical disease. The findings may contribute to the development of future SM interventions and delivering evidence-based care to this population. Further high-quality RCTs are needed to identify sources of heterogeneity and investigate key intervention components. Prospero registration: CRD42019132215


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lydia Ould Brahim ◽  
Sylvie D. Lambert ◽  
Nancy Feeley ◽  
Chelsea Coumoundouros ◽  
Jamie Schaffler ◽  
...  

Abstract Background Chronic diseases are the leading cause of death worldwide. It is estimated that 20% of adults with chronic physical diseases experience concomitant depression, increasing their risk of morbidity and mortality. Low intensity psychosocial interventions, such as self-management, are part of recommended treatment; however, no systematic review has evaluated the effects of depression self-management interventions for this population. The primary objective was to examine the effect of self-management interventions on reducing depressive symptomatology in adults with chronic disease(s) and co-occurring depressive symptoms. Secondary objectives were to evaluate the effect of these interventions on improving other psychosocial and physiological outcomes (e.g., anxiety, glycemic control) and to assess potential differential effect based on key participant and intervention characteristics (e.g., chronic disease, provider). Methods Studies comparing depression self-management interventions to a control group were identified through a) systematic searches of databases to June 2018 [MEDLINE (1946 -), EMBASE (1996 -), PsycINFO (1967 -), CINAHL (1984 -)] and b) secondary ‘snowball’ search strategies. The methodological quality of included studies was critically reviewed. Screening of all titles, abstracts, and full texts for eligibility was assessed independently by two authors. Data were extracted by one author and verified by a second. Results Fifteen studies were retained: 12 for meta-analysis and three for descriptive review. In total, these trials included 2064 participants and most commonly evaluated interventions for people with cancer (n = 7) or diabetes (n = 4). From baseline to < 6-months (T1), the pooled mean effect size was − 0.47 [95% CI −0.73, − 0.21] as compared to control groups for the primary outcome of depression and − 0.53 [95% CI −0.91, − 0.15] at ≥ 6-months (T2). Results were also significant for anxiety (T1) and glycemic control (T2). Self-management skills of decision-making and taking action were significant moderators of depression at T1. Conclusion Self-management interventions show promise in improving depression and anxiety in those with concomitant chronic physical disease. The findings may contribute to the development of future Self-management interventions and delivering evidence-based care to this population. Further high-quality RCTs are needed to identify sources of heterogeneity and investigate key intervention components.


RMD Open ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e001647
Author(s):  
Andréa Marques ◽  
Eduardo Santos ◽  
Elena Nikiphorou ◽  
Ailsa Bosworth ◽  
Loreto Carmona

ObjectiveTo perform a systematic review (SR) on the effectiveness of self-management interventions, in order to inform the European League Against Rheumatism Recommendations for its implementation in patients with inflammatory arthritis (IA).MethodsThe SR was conducted according to the Cochrane Handbook and included adults (≥18 years) with IA. The search strategy was run in Medline through PubMed, Embase, Cochrane Library, CINAHL Plus with Full Text, and PEDro. The assessment of risk of bias, data extraction and synthesis were performed by two reviewers independently. A narrative Summary of Findings was provided according to the Grading of Recommendations, Assessment, Development and Evaluation.ResultsFrom a total 1577 references, 57 were selected for a full-text review, and 32 studies fulfilled the inclusion criteria (19 randomised controlled trials (RCTs) and 13 SRs). The most studied self-management components were specific interactive disease education in ten RCTs, problem solving in nine RCTs, cognitive–behavioural therapy in eight RCTs, goal setting in six RCTs, patient education in five RCTs and response training in two RCTs. The most studied interventions were multicomponent or single exercise/physical activity in six SRs, psychosocial interventions in five SRs and education in two SRs. Overall, all these specific components and interventions of self-management have beneficial effects on IAs-related outcomes.ConclusionsThe findings confirm the beneficial effect of the self-management interventions in IA and the importance of their implementation. Further research should focus on the understanding that self-management is a complex intervention to allow the isolation of the effectiveness of its different components.


2018 ◽  
Vol 34 (4) ◽  
pp. 458-467 ◽  
Author(s):  
Monica Parry ◽  
Ann Kristin Bjørnnes ◽  
J. Charles Victor ◽  
Ana Patricia Ayala ◽  
Erica Lenton ◽  
...  

Author(s):  
Valentina Donison ◽  
Tyler R. Chesney ◽  
Aria Wills ◽  
Brenda Santos ◽  
Bianca McLean ◽  
...  

2018 ◽  
Vol 42 (3) ◽  
pp. 307-316 ◽  
Author(s):  
Ella Clark ◽  
Alison MacCrosain ◽  
Nick S. Ward ◽  
Fiona Jones

2013 ◽  
Vol 15 (2) ◽  
pp. e35 ◽  
Author(s):  
Michael Stellefson ◽  
Beth Chaney ◽  
Adam E Barry ◽  
Enmanuel Chavarria ◽  
Bethany Tennant ◽  
...  

2021 ◽  
Author(s):  
Ghada Alhussein ◽  
Leontios Hadjileontiadis

BACKGROUND Osteoporosis is the fourth most common chronic disease in the world. Adopting preventative measures and effective self-management interventions help in improving bone health. Mobile health (mHealth) technologies can play a key role in osteoporosis patient care and self- management. OBJECTIVE This study presents a systematic review and meta-analysis of the currently available mHealth applications targeting osteoporosis self-management, aiming to determine the current status, gaps and challenges the future research could address, proposing appropriate recommendations. METHODS In this systematic review and meta-analysis, we searched PubMed, Scopus, EBSCO, Web of Science, and IEEExplore databases between Jan 1, 2010 and May 31, 2021, for all English publications that describe apps dedicated to or being useful for osteoporosis, targeting self-management, nutrition, physical activity, risk assessment, delivered on smartphone devices for young and older adults. In addition, a survey of all osteoporosis-related apps available in iOS and Android app stores as of May 31, 2021 was also conducted. Primary outcomes of interest were the prevention or reduction of unhealthy behaviours or improvement in healthy behaviours of the six behaviours. Outcomes were summarised in a narrative synthesis and combined using random-effects meta-analysis. RESULTS In total, 3906 unique articles were identified. Of these, 32 articles met the inclusion criteria and were reviewed in depth. The 32 studies were comprising 14 235 participants, of whom on average 69.5% were female, with a mean age of 49.8 years (SD 17.8). The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth supported interventions resulted in a significant reduction in pain (Hedge’s g -1.09, 95%CI -1.68 to -0.45) and disability (Hedge’s g -0.77, 95%CI -1.59 to 0.05). The post-treatment effect of the digital intervention was significant for physical function (Hedge’s g 2.54, 95%CI -4.08 to 4.08); yet nonsignificant for wellbeing (Hedge’s g 0.17, 95% CI -1.84 to 2.17), physical activity (Hedges’ g 0.09, 95%CI -0.59 to 0.50), anxiety (Hedge’s g -0.29, 95%CI -6.11 to 5.53), fatigue (Hedge’s g -0.34, 95%CI -5.84 to 5.16), calcium (Hedge’s g -0.05, 95%CI -0.59 to 0.50) and vitamin D (Hedge’s g 0.10, 95% CI -4.05 to 4.26) intake, and trabecular score (Hedge’s g 0.06, 95%CI -1.00 to 1.12). CONCLUSIONS Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be a valuable tool for patients and health professionals. However, the majority of the apps that are currently available lack clinically validated evidence of their efficacy and they most focus on a limited number of symptoms. A more holistic and personalized approach, within a co-creation design ecosystem, is needed.


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