Saim Nor Jana, Mehdi Ghazinour and Jörg Richter
There is a dearth of research on unwed young pregnant Malaysian women and mothers’ coping strategy and resilience in the context of limited social support they received. Hence…
Abstract
Purpose
There is a dearth of research on unwed young pregnant Malaysian women and mothers’ coping strategy and resilience in the context of limited social support they received. Hence, the purpose of this paper is to investigate the prediction of mental health by coping, social support, and resilience among unwed young Malaysian pregnant women and mothers.
Design/methodology/approach
Quantitative data of two assessments from respondents aged 11 to 32 years during their stay in shelter homes have been analyzed.
Findings
The result from the longitudinal study found that the variability in mental health scores could be explained between 14 percent for depressive-behavioral symptoms and 36 percent for general health. The mental health scores from the first assessment were part of the regression equation with the highest standardized β scores. Cross-sectional, the variance in the three independent variable sets explained between 6 percent (general health) and 23 percent (cognitive depressive symptoms) of the variance in the various mental health scores with different variables of significant standardized β scores in the regression equation. The study also found there were no significant changes in social support, resilience and coping between the first and second assessments even if the respondents had been in the shelter homes for a period of time.
Originality/value
The study highlighted the issue of mental health among Malaysian unwed mothers during residential periods in shelter homes. As the subject of unwed mothers is considered taboo, their rights are often deprived or overlooked.
Details
Keywords
Gohar F. Khan, Marko Sarstedt, Wen-Lung Shiau, Joseph F. Hair, Christian M. Ringle and Martin P. Fritze
The purpose of this paper is to explore the knowledge infrastructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network…
Abstract
Purpose
The purpose of this paper is to explore the knowledge infrastructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network point of view. The analysis involves the structures of authors, institutions, countries and co-citation networks, and discloses trending developments in the field.
Design/methodology/approach
Based on bibliometric data downloaded from the Web of Science, the authors apply various social network analysis (SNA) and visualization tools to examine the structure of knowledge networks of the PLS-SEM domain. Specifically, the authors investigate the PLS-SEM knowledge network by analyzing 84 methodological studies published in 39 journals by 145 authors from 106 institutions.
Findings
The analysis reveals that specific authors dominate the network, whereas most authors work in isolated groups, loosely connected to the network’s focal authors. Besides presenting the results of a country level analysis, the research also identifies journals that play a key role in disseminating knowledge in the network. Finally, a burst detection analysis indicates that method comparisons and extensions, for example, to estimate common factor model data or to leverage PLS-SEM’s predictive capabilities, feature prominently in recent research.
Originality/value
Addressing the limitations of prior systematic literature reviews on the PLS-SEM method, this is the first study to apply SNA to reveal the interrelated structures and properties of PLS-SEM’s research domain.
Details
Keywords
Wen-Lung Shiau, Xiaodie Pu, Soumya Ray and Charlie C. Chen
Anne Berghöfer, Denes G. Göckler, Jörg Sydow, Carolin Auschra, Lauri Wessel and Martin Gersch
Many health systems face challenges such as rising costs and lacking quality, both of which can be addressed by improving the integration of different health care sectors and…
Abstract
Purpose
Many health systems face challenges such as rising costs and lacking quality, both of which can be addressed by improving the integration of different health care sectors and professions. The purpose of this viewpoint is to present the German health care Innovation Fund (IF) initiated by the Federal Government to support the development and diffusion of integrated health care.
Design/methodology/approach
This article describes the design and rationale of the IF in detail and provides first insights into its limitations, acceptance and implementation by relevant stakeholders.
Findings
In its first period, the IF offered € 1.2 billion as start-up funding for model implementation and evaluation over a period of four years (2016–2019). This period was recently extended to a second round until 2024, offering € 200 million a year as from 2020. The IF is triggering the support of relevant insurers for the development of new integrated care models. In addition, strict evaluation requirements have led to a large number of health service research projects which assess structural and process improvements and thus enable evidence-based policy decisions.
Originality/value
This article is the first of its kind to present the German IF to the international readership. The IF is a political initiative through which to foster innovations and promote integrated health care.