The Wellbeing Implications of Maximizing: A Conceptual Framework and Meta‐Analysis

Author(s):  
Alex Belli ◽  
François A. Carrillat ◽  
Natalina Zlatevska ◽  
Elizabeth Cowley
Author(s):  
Jason S. Moser ◽  
Tim P. Moran ◽  
Hans S. Schroder ◽  
M. Brent Donnellan ◽  
Nick Yeung

BMJ Open ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. e019287 ◽  
Author(s):  
Fatima B Wurie ◽  
Vanessa Cooper ◽  
Robert Horne ◽  
Andrew C Hayward

IntroductionTreatment for tuberculosis (TB) is highly effective if taken according to prescribed schedules. However, many people have difficulty adhering to treatment which can lead to poorer clinical outcomes, the development of drug resistance, increased duration of infectivity and consequent onward transmission of infection. A range of approaches are available to support adherence but in order to target these effectively a better understanding of the predictors of poor adherence is needed. This review aims to highlight the personal, sociocultural and structural factors that may lead to poor adherence in high-income and middle-income settings.Methods and analysisSeven electronic databases, Medline, EMBASE, CINAHL, PsycInfo, The Cochrane Library, Scopus and Web of Science, will be searched for relevant articles using a prespecified search strategy. Observational studies will be targeted to explore factors that influence adherence to treatment in individuals diagnosed with TB. Screening title and abstract followed by full-text screening and critical appraisal will be conducted by two researchers. Data will be extracted using the Population, Exposure, Comparator, Outcomes, Study characteristics framework. For cross-study assessment of strength of evidence for particular risk factors affecting adherence we will use the Grading of Recommendations, Assessment, Development and Evaluation tool modified for prognostic studies. A narrative synthesis of the studies will be compiled. A meta-analysis will be considered if there are sufficient numbers of studies that are homogenous in study design, population and outcomes.DisseminationA draft conceptual framework will be identified that (A) identifies key barriers to adherence at each contextual level (eg, personal, sociocultural, health systems) and (B) maps the relationships, pathways and mechanisms of effect between these factors and adherence outcomes for people with TB. The draft conceptual framework will guide targeting of adherence interventions and further research.PROSPERO registration numberCRD42017061049.


10.2196/26584 ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. e26584
Author(s):  
Lindsay H Dewa ◽  
Emma Lawrance ◽  
Lily Roberts ◽  
Ellie Brooks-Hall ◽  
Hutan Ashrafian ◽  
...  

Background Disrupted social connections may negatively affect youth mental health. In contrast, sustained quality social connections (QSCs) can improve mental health outcomes. However, few studies have examined how these quality connections affect depression and anxiety outcomes within digital interventions, and conceptualization is limited. Objective The aim of this study is to conceptualize, appraise, and synthesize evidence on QSC within digital interventions (D-QSC) and the impact on depression and anxiety outcomes for young people aged 14-24 years. Methods A systematic scoping review and meta-analysis was conducted using the Joanna Briggs Institute methodological frameworks and guided by experts with lived experience. Reporting was guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The MEDLINE, Embase, PsycINFO, and CINAHL databases were searched against a comprehensive combination of key concepts on June 24, 2020. The search concepts included young people, digital intervention, depression, anxiety, and social connection. Google was also searched. A reviewer independently screened abstracts and titles and full text, and 9.99% (388/3882) of these were screened by a second reviewer. A narrative synthesis was used to structure the findings on indicators of D-QSC and mechanisms that facilitate the connection. Indicators of D-QSC from the included studies were synthesized to produce a conceptual framework. Results Of the 5715 publications identified, 42 (0.73%) were included. Among the included studies, there were 23,319 participants. Indicators that D-QSC was present varied and included relatedness, having a sense of belonging, and connecting to similar people. However, despite the variation, most of the indicators were associated with improved outcomes for depression and anxiety. Negative interactions, loneliness, and feeling ignored indicated that D-QSC was not present. In 24% (10/42) of the applicable studies, a meta-analysis showed a significant decrease in depression (–25.6%, 95% CI –0.352 to –0.160; P<.001) and anxiety (–15.1%, 95% CI –0.251 to –0.051; P=.003) after a D-QSC. Digital mechanisms that helped create a quality connection included anonymity, confidentiality, and peer support. In contrast, mechanisms that hindered the connection included disconnection from the real world and inability to see body language. Data synthesis also identified a 5-component conceptual framework of D-QSC that included rapport, identity and commonality, valued interpersonal dynamic, engagement, and responded to and accepted. Conclusions D-QSC is an important and underconsidered component for youth depression and anxiety outcomes. Researchers and developers should consider targeting improved QSC between clinicians and young people within digital interventions for depression. Future research should build on our framework to further examine relationships among individual attributes of QSC, various digital interventions, and different populations.


2020 ◽  
Author(s):  
Lindsay H Dewa ◽  
Emma Lawrance ◽  
Lily Roberts ◽  
Ellie Brooks-Hall ◽  
Hutan Ashrafian ◽  
...  

BACKGROUND Disrupted social connections may negatively affect youth mental health. In contrast, sustained quality social connections (QSCs) can improve mental health outcomes. However, few studies have examined how these quality connections affect depression and anxiety outcomes within digital interventions, and conceptualization is limited. OBJECTIVE The aim of this study is to conceptualize, appraise, and synthesize evidence on QSC within digital interventions (D-QSC) and the impact on depression and anxiety outcomes for young people aged 14-24 years. METHODS A systematic scoping review and meta-analysis was conducted using the Joanna Briggs Institute methodological frameworks and guided by experts with lived experience. Reporting was guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The MEDLINE, Embase, PsycINFO, and CINAHL databases were searched against a comprehensive combination of key concepts on June 24, 2020. The search concepts included young people, digital intervention, depression, anxiety, and social connection. Google was also searched. A reviewer independently screened abstracts and titles and full text, and 9.99% (388/3882) of these were screened by a second reviewer. A narrative synthesis was used to structure the findings on indicators of D-QSC and mechanisms that facilitate the connection. Indicators of D-QSC from the included studies were synthesized to produce a conceptual framework. RESULTS Of the 5715 publications identified, 42 (0.73%) were included. Among the included studies, there were 23,319 participants. Indicators that D-QSC was present varied and included relatedness, having a sense of belonging, and connecting to similar people. However, despite the variation, most of the indicators were associated with improved outcomes for depression and anxiety. Negative interactions, loneliness, and feeling ignored indicated that D-QSC was not present. In 24% (10/42) of the applicable studies, a meta-analysis showed a significant decrease in depression (–25.6%, 95% CI –0.352 to –0.160; <i>P</i>&lt;.001) and anxiety (–15.1%, 95% CI –0.251 to –0.051; <i>P</i>=.003) after a D-QSC. Digital mechanisms that helped create a quality connection included anonymity, confidentiality, and peer support. In contrast, mechanisms that hindered the connection included disconnection from the real world and inability to see body language. Data synthesis also identified a 5-component conceptual framework of D-QSC that included rapport, identity and commonality, valued interpersonal dynamic, engagement, and responded to and accepted. CONCLUSIONS D-QSC is an important and underconsidered component for youth depression and anxiety outcomes. Researchers and developers should consider targeting improved QSC between clinicians and young people within digital interventions for depression. Future research should build on our framework to further examine relationships among individual attributes of QSC, various digital interventions, and different populations.


2016 ◽  
Vol 11 (8) ◽  
pp. 186 ◽  
Author(s):  
Olfa Aissa

<p>The theme of the financial participation and its relationship with firm performance continue to occupy an important place in the academic and professional literature. However, researches take many different perspectives that it is difficult to define a conceptual framework and results are often different questioning their generalization.</p><p>In this research we propose a meta-analytic approach in order to evaluate the impact of the employees’ financial participation on firm performance. The results demonstrated a significant improvement in the economic and social performance of firms that share their profits with their employees.</p>


2016 ◽  
Vol 17 (1) ◽  
pp. 9-29 ◽  
Author(s):  
Rodrigo B. Castilhos ◽  
Pierre-Yann Dolbec ◽  
Ela Veresiu

Grounded in work on geography and markets, this article offers a conceptual framework to study the dynamics of markets through a spatial lens. The characteristics of four key spatial dimensions (place, territory, scale, and network) are explained and leveraged to provide distinct analytical vantage points and to conceptualize how various types of spaces matter differently in market dynamics. Findings from a qualitative meta-analysis identify 12 unique mechanisms tied to the four proposed spatial dimensions, which offer alternative theoretical avenues for unpacking market phenomena. These four spatial dimensions are then combined with 12 space-based mechanisms to offer novel research avenues for marketing scholars interested in market system dynamics.


1985 ◽  
Vol 97 (1) ◽  
pp. 134-147 ◽  
Author(s):  
Robert G. Orwin ◽  
David S. Cordray

AMS Review ◽  
2021 ◽  
Author(s):  
Alexander Flaig ◽  
Daniel Kindström ◽  
Mikael Ottosson

AbstractThis study explores the potential existence of reoccurring patterns in market-shaping processes by employing a qualitative meta-analysis to analyze 79 case studies on market-shaping. Through the evidence-based synthesis of qualitative data, we extract 20 generalized market-shaping activities that inform and form the foundation of a three-phased market-shaping process. This conceptual framework divides the market-shaping process into the phases of infusion, formation and retention. By applying our conceptual framework to the qualitative dataset, we explore the presence of market-shaping phases and provide further insights into the interdependences and dynamics between multiple, simultaneously occurring, market-shaping processes. By providing a structured market-shaping process, we attempt to reduce the overall complexity of the market-shaping phenomenon and facilitate the operationalization of the phenomenon for further market-shaping research. Additionally, our conceptualization provides practitioners with a framework to analyze the market-shaping efforts of other market actors and support the design of their own market-shaping strategies.


2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Khalil Gholami ◽  
Kirsi Tirri

Caring teaching is a conceptual framework used to gain an insight into the moral aspect of teaching. Using a quantitative research approach, we studied 556 teachers in order to explore their perceived dimensions of caring teaching. Drawing on existing literature, we found that caring teaching has been elaborated in line with two broad concepts: personal care and academic care. Considering these concepts, we developed the Caring Teaching Scale with which we identified four dimensions of caring teaching: the nurturing of a student's character, didactical bias, awareness, and respectful didactics. A meta-analysis reflection suggests that the nurturing of students' characters and awareness represent personal care while didactical bias and respectful didactics call for academic care. Further analysis showed that these teachers attached more pedagogical value to personal care. Controlling for two demographic variables, we found statistically significant differences with regard to gender and caring teaching.


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