scholarly journals Determinan Perilaku Pencegahan Perdarahan Pasca Persalinan

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Harmatuti Harmatuti
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Peer Group ◽  
Group Status ◽  
Cross Sectional ◽  
Equation Modelling

Perdarahan pasca persalinan masih tinggi kejadiannya dikarenakan masih rendahnya perilaku pencegahan yang dilakukan saat masa kehamilan. Beberapa upaya yang dapat mengurangi gangguan fisik maupun psikis seperti  promosi hidup sehat serta deteksi awal dapat diterapkan dalam strategi pencegahan perdarahan pasca persalinan. Penelitian ini bertujuan mengetahui pengaruh pemberdayaan, peran suami, peran peer group, status kesehatan, pengetahuan dan sikap terhadap perilaku ibu hamil dalam pencegahan perdarahan pasca persalinan di RS Kesdam Cijantung Tahun 2019. Metode penelitian yang digunakan yaitu kuantitatif dengan desain cross-sectional. Analisis data menggunakan smartPLS 2.0 dan SPSS 18. Hasil pengujian hipotesis menggunakan Structural Equation Modelling (SEM) temuan penelitian yakni pemberdayaan (16,58%), peran suami (4,8%), peran peer group (18,30%), status kesehatan (24,37%), pengetahuan (10,07%) dan sikap (10,50%), pengaruh langsung perilaku ibu hamil dalam pencegahan perdarahan pasca persalinan sebesar 84,61%, dan pengaruh tidak langsung sebesar 1,1%. Status kesehatan merupakan faktor dominan yang sangat mempengaruhi perilaku ibu hamil dalam pencegahan perdarahan pasca persalinan. Peneliti menyarankan agar beberapa pihak bekerja sama untuk membantu ibu hamil dalam pencegahan perdarahan pasca persalinan.

scholarly journals What factors influence older people’s intention to enrol in nursing homes? A cross-sectional observational study in Shanghai, China

BMJ Open ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. e021741 ◽  
Author(s):  
Mengyun Luo ◽  
Yajiong Xue ◽  
Shunxing Zhang ◽  
Yuanyuan Dong ◽  
Dandan Mo ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Observational Study ◽  
Rural Areas ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Value Added ◽  
Subjective Norm ◽  
Cross Sectional ◽  
Term Care ◽  
Equation Modelling

ObjectivesGiven the increasing need of long-term care and the low occupancy rate of nursing homes in Shanghai, this study attempts to explore what factors influence older people’s intention to enrol in nursing homes.DesignA cross-sectional observational study based on the theory of reasoned action was conducted. Survey data were collected from subjects during face-to-face interviews. Structural equation modelling was employed for data analysis.SettingThis study was conducted in six community health service centres in Shanghai, China. Two service centres were selected in urban, suburban and rural areas, respectively.ParticipantsA total of 641 Shanghai residents aged over 60 were surveyed.ResultsStructural equation modelling analysis showed that the research model fits the data well (χ2/df=2.948, Comparative Fit Index=0.972 and root mean squared error of approximation =0.055). Attitude (β=0.41, p<0.01), subjective norm (β=0.28, p<0.01) and value-added service (β=0.16, p<0.01) were directly associated with enrolment intention, explaining 32% of variance in intention. Attitude was significantly influenced by loneliness (β=−0.08, p<0.05), self-efficacy (β=0.32, p<0.01) and stigma (β=−0.24, p<0.01), while subjective norm was significantly influenced by life satisfaction (β=−0.15, p<0.01) and stigma (β=−0.43, p<0.01).ConclusionsThis study advances knowledge regarding the influencing factors of older people’s intention to enrol in nursing homes. It suggests that Chinese older persons’ perceived stigma has the strongest indirect effect on their intention to enrol in nursing homes. This is unique to the Chinese context and has practical implications for eldercare in China and other Asian countries with similar sociocultural contexts.

scholarly journals PO 8313 PREDICTORS OF HEALTH INSTITUTIONAL READINESS FOR EBOLA EPIDEMIC CONTAINMENT IN NIGERIA: A STRUCTURAL EQUATION MODELLING (SEM) APPROACH

2019 ◽  
Vol 4 (Suppl 3) ◽  
pp. A28.3-A29
Author(s):  
Joshua Adekeye ◽  
Eustasius Musenge ◽  
Oyedunni Arulogun
Keyword(s):  
Qualitative Study ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Qualitative Data ◽  
Health Workers ◽  
Specific Capacity ◽  
Sampling Technique ◽  
Minor Element ◽  
Cross Sectional ◽  
Equation Modelling

BackgroundThere is paucity of literature on organisational readiness in the health space. Previous studies focus on epidemic preparedness and often depict readiness as a minor element in the implementation space. This study investigated the predictors of health institutional readiness to implement innovations for combating an Ebola epidemic outbreak in Nigeria.MethodsThe cross-sectional, mixed methods design was employed. The study population was 785 health care workers and non-health workers working at University of Port-Harcourt Teaching Hospital (Nigeria). The purposive sampling was used for qualitative study while the stratified random sampling technique was utilised for the quantitative study. Qualitative data were collected from fifteen respondents while a total of 511 questionnaires were administered at the study site. The qualitative data was analysed using inductive thematic analysis. The quantitative data was analysed using structural equation modelling (SEM).ResultsThe qualitative study suggested that quality improvement was perceived as most useful in influencing all the tree sub-components of readiness. Training is perceived as most useful in building readiness while it is perceived to be moderately useful in influencing the sub-component of readiness. The OLS estimates indicates that QI/QA exert a positive and significant effect on motivation (β=0.004, p<0.05) and general capacity score (β=0.28 p<0.05) while it inversely but significantly exerts influence on innovation specific capacity (β=−0.21×10–3, p<0.05). The SEM/pathway analysis shows the direct and indirect routes of interactions among predictors of readiness after adjusting for confounders. All the explanatory variables have significant effect on readiness except gender which was dropped from the final model.ConclusionThe strength of evidence of how an evidence-based system for innovation support can influence readiness was established. Though readiness is a rate-determining step in ensuring robust and effective implementation outcomes for epidemic containment, exploring innovation outcomes and their amplification through explicitly target readiness dynamics requires further investigation.

scholarly journals Role of Digital Media in Spreading Covid-19 Awareness- Structural Equation Modelling based Study

2021 ◽  
Vol 10 (4) ◽  
pp. 2830-2841
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Sem Analysis ◽  
Ease Of Use ◽  
Cross Sectional ◽  
Equation Modelling

Due to the rise of media technology and the abundance of Social Media platforms, healthcare awareness and information gathering are simple, easy, and efficient. This study also aims to investigate the role of Social Media to obtain Coivd-19 information and updates. The researcher used the cross-sectional study design and selected a sample of n= 265 respondents from Islamabad, Pakistan. Further, to validate the phenomenon, the researcher developed and tested the self-structured model using Structural Equation Modelling. The SEM analysis involved Internal consistency assessments, Coefficients of Determination R2, and Path Analysis. Findings indicated a strong significant relationship between Social Media, Ease of Access (p≥ .000), Ease of Use (p≥ .011), Internet Availability (p≥ .013), and Information Acceptance (p≥ .042). Thus the results revealed a significant role of Social Media to spread Covid-19 awareness reinforcing positive healthcare attitudes among the public. Therefore, the researcher suggests more studies on the proposed research model, to scrutinize the role of the Social Media infodemic during the Coronavirus outbreak.

Pathways to flourishing of athletes: the role of team and individual strength use

2016 ◽  
Vol 47 (1) ◽  
pp. 23-34 ◽  
Author(s):  
Frederick Stander ◽  
Sebastiaan Rothmann ◽  
Elrie Botha
Keyword(s):  
Research Design ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Student Athletes ◽  
Well Being ◽  
Negative Association ◽  
Model Fit ◽  
Cross Sectional ◽  
Equation Modelling

Information is needed regarding the antecedents and outcomes of flourishing, particularly in sports contexts, where the study of this optimal well-being state has remained largely unexplored. This study examined the role of strength use to facilitate flourishing, enhance team embeddedness, and counter withdrawal behaviour of athletes. It further investigated the role of flourishing to retain athletes to their sport and teams and examined the role of team embeddedness in this relationship. A cross-sectional research design was utilised with structural equation modelling to assess model fit and examine postulated relationships. The sample comprised 235 student athletes. The results suggested that team strength use predicts flourishing. It further revealed positive paths to team embeddedness from both individual and team strength use. Flourishing was also positively related to team embeddedness. Lastly, a negative association was found between team embeddedness and withdrawal behaviour among the athletes.

Refereeing articles including SEM – what should referees look for?

2020 ◽  
Vol 1 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Chris Ryan
Keyword(s):  
Sample Size ◽  
Least Squares ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Cross Sectional ◽  
Content Type ◽  
Equation Modelling ◽  
Sectional Analysis ◽  
Scale Creation ◽  
Least Squares Techniques

Purpose After expressing an initial disquiet about the nature of many studies that are published using structural equation modelling (SEM), a rationale for using the technique is provided. Given the advantages provided by the technique, the differences between covariance-based and partial least squares techniques are briefly described. The argument progresses by indicating assumptions behind the techniques and what it is that referees require before being able to properly referee the paper. Some issues are fundamental to survey-based materials and include the requirement to distinguish between importance and discriminatory power, and the over-dependency on cross-sectional analysis when making claims of generalisation. Other issues of scale creation and sample size are touched upon. This paper finishes by suggesting a checklist for referees who are asked to review papers using SEM.

Ghanaian academic libraries’ use of social media: A structural equation modelling approach

2021 ◽  
pp. 026666692199942
Author(s):  
Monica Mensah ◽  
Omwoyo Bosire Onyancha
Keyword(s):  
Social Media ◽  
Academic Libraries ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Survey Design ◽  
Target Population ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Equation Modelling ◽  
Use Of Social Media

The study was largely quantitative and employed the unified theory of acceptance and use of technology (UTAUT) as its theoretical lens. The target population was 31,157 consisting of library staff and library patrons from four academic libraries in Ghana. Sampling tables and census sampling techniques were used to select a sample size of 767 respondents. Adopting a cross-sectional survey design, the study used a pre-tested questionnaire to collect data from the sampled respondents. Statistical analyses were carried out using the Statistical Package for Social Sciences. The structural equation modelling technique was further used to estimate the relationships and correlations between the theoretical constructs from the UTAUT to understand behavioural intentions and use behaviour of social media in the academic libraries. The study found that performance expectancy, effort expectancy and facilitating conditions have significant influence on the intention to use and subsequent use of social media in academic libraries in Ghana.

How do avatar characteristics affect avatar friendliness and online gamer loyalty? Perspective of the theory of embodied cognition

2018 ◽  
Vol 28 (4) ◽  
pp. 1103-1121 ◽  
Author(s):  
Kai Li ◽  
Huynh Van Nguyen ◽  
T.C.E. Cheng ◽  
Ching-I Teng
Keyword(s):  
Big Data ◽  
Embodied Cognition ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Design Methodology ◽  
Research Model ◽  
Cross Sectional ◽  
Content Type ◽  
Equation Modelling ◽  
Cross Sectional Design

Purpose As technology-created gamers’ representations, avatars are influential in communication among online gamers. However, there is scant research on how avatars’ characteristics impact gamers’ friendly behaviour via avatars, i.e., avatar friendliness, and how avatar friendliness is related to online gamer loyalty. The purpose of this paper is to develop a research model grounded in the theory of embodied cognition to examine the impacts of perceived avatar appearance agreeableness, attractiveness and height on avatar friendliness and online gamer loyalty. Design/methodology/approach The authors collect 1,384 responses from online gamers and use structural equation modelling for hypothesis testing. Findings The authors find that perceived avatar appearance agreeableness and attractiveness are positively related to avatar friendliness, while perceived avatar height is negatively related to avatar friendliness. Avatar friendliness, in turn, is positively related to online gamer loyalty. Research limitations/implications This study assessed gamers’ perceptions using a cross-sectional design. Future works could use a big data approach to collect behavioural and longitudinal data. Moreover, future works could measure avatar height using pixels. Originality/value The authors contribute to the e-commerce literature by inventing the new constructs of perceived avatar appearance agreeableness and avatar friendliness, and conducting the first study of using avatar friendliness to explain the impacts of the three avatar characteristics on online gamer loyalty. The findings also provide novel insights for e-commerce managers to effectively build a loyal gamer base.

scholarly journals Insight, self-stigma and psychosocial outcomes in Schizophrenia: a structural equation modelling approach

2016 ◽  
Vol 27 (2) ◽  
pp. 176-185 ◽  
Author(s):  
Y.-J. Lien ◽  
H.-A. Chang ◽  
Y.-C. Kao ◽  
N.-S. Tzeng ◽  
C.-W. Lu ◽  
...  
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Psychosocial Outcomes ◽  
Self Esteem ◽  
Self Report ◽  
Schizophrenia Spectrum Disorders ◽  
University Hospitals ◽  
Subjective Quality Of Life ◽  
Cross Sectional ◽  
Equation Modelling

Aims.Poor insight is prevalent in patients with schizophrenia and has been associated with acute illness severity, medication non-adherence and poor treatment outcomes. Paradoxically, high insight has been associated with various undesirable outcomes, including low self-esteem, depression and low subjective quality of life (QoL) in patients with schizophrenia. Despite the growing body of studies conducted in Western countries supporting the pernicious effects of improved insight in psychosis, which bases on the level of self-stigma, the effects are unclear in non-Western societies. The current study examined the role of self-stigma in the relationship between insight and psychosocial outcomes in a Chinese population.Methods.A total of 170 outpatients with schizophrenia spectrum disorders were recruited from two general university hospitals. Sociodemographic data and clinical variables were recorded and self-report scales were employed to measure self-stigma, depression, insight, self-esteem and subjective QoL. Structural equation modelling (SEM) was used to analyse the cross-sectional data.Results.High levels of self-stigma were reported by 39% of the participants (n = 67). The influences of insight, self-stigma, self-esteem and depression on subjective QoL were confirmed by the SEM results. Our model with the closest fit to the data (χ2 = 33.28; df = 20; p = 0.03; χ2/df = 1.66; CFI = 0.98; TLI = 0.97; RMSEA = 0.06) demonstrated that self-stigma might fully mediate the association of insight with low self-esteem, depression and poor subjective QoL. High insight into illness contributed to self-stigma, which caused low self-esteem and depression and, consequently, low QoL. Notably, insight did not directly affect self-esteem, depression or QoL. Furthermore, the association of insight with poor psychosocial outcomes was not moderated by self-stigma.Conclusions.Our findings support the mediating model of insight relevant to the poor psychosocial outcomes of individuals diagnosed with schizophrenia in non-Western societies, in which self-stigma plays a pivotal role. These findings elucidate the direct and indirect effects of insight on psychosocial outcomes and imply that identifying and correcting self-stigma in people with schizophrenia could be beneficial. Additional studies are required to identify whether several other neurocognitive or psychosocial variables mediate or moderate the association of insight with self-esteem, depression and QoL in patients with schizophrenia. Studies with detailed longitudinal assessments are necessary to confirm our findings.

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