Search results

Community-based HIV testing and counselling (HTC) has been recommended for improving access to prevention, care, and treatment services in at-risk populations. Earlier systematic reviews and meta-analyses have been undertaken, but due to some methodological limitations, their findings do not yet provide a practical significance. The purpose of this paper is to re-examine the recent evidence of the efficacy of community-based HTC approaches on the uptake of HTC in at-risk populations.

The database of PubMed online, Science Direct, the Lancet Global Health, the Cochrane Central Register of Controlled Trials, and Google Scholar were systematically searched using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to obtain empirical papers published between March 2013 and December 2015.

Of 600 collected papers, there were 6 cluster randomized trials papers which met the inclusion criteria. Compared to the health facilities-based HTC, community-based HTC approaches have been shown to improve the uptake of HIV testing from 5.8 to 37 per cent, and improve HIV testing in men and their partners together from 6.8 to 34 per cent. The community approaches also detected lower HIV-positive cases (0.29 per cent as compared to 4 per cent), improved access to treatment services from 0.3 to 25 per cent, demonstrated higher cluster differentiation 4 count in newly diagnosed patients (median of 400-438 cells/µl), and increased the rate of first-time HIV testing from 9 to 11.8 per cent. With respect to social and behavioural outcomes, community-based HTC increased social norms for HIV testing by 6 per cent (95 per cent CI 3-9), decreased multiple sex partners by 55 per cent (95 per cent CI 42-73), lowered casual sex by 45 per cent (95 per cent CI 33-62), increased knowledge about HIV (83.2 vs 28.9 per cent), improved positive attitudes towards HIV patients (73.0 vs 34.3 per cent), and increased the use of condoms (28.0 vs 12.3 per cent).

Community-based HTC combined with behavioural interventions have been found to be more effective in increasing the uptake of HIV testing as well as other outcomes as compared to the conventional health facilities-based testing and counselling approaches.

The purpose of this paper is to conduct systematic reviews on Indonesian papers, to examine the most recent evidence of the efficacy of the combination of cognitive training and physical exercise, and to make recommendations in order to improve prevention, care and treatment services in elderly patients with mild cognitive impairment (MCI).

The databases of Cochrane, Medline, NIH (US National Library Medicine), ProQuest, EbscoHost, Clinical Key, EMBASE, Medical Librarian (TWE) in Ovid, Science Direct, Scopus, The Lancet Global Health, PubMed, Emerald, Indonesian National Library, Google Scholar, Google Indonesia, and Garuda Portal were systematically searched using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to obtain empirical papers published between June 1976 and January 2018.

Out of the 3,293 articles collected, 10 were included in this analysis. The result of this combined meta-analysis compares the combination therapy group (cognitive therapy and physical exercise) with a control group. It shows that the control group was likely to experience MCI 1.65 times more often than the combination therapy group. According to the result acquired from the synthesized meta-analysis, the control group experienced MCI 1.65 times higher than the combination therapy. The finding is proven to be statistically significant (95% CI= 1.42–1.93).

The research considers only English and Indonesian articles.

It is important to explore the most effective training characteristics in a special combined intervention differentiated by the duration, frequency, intervention, type and combination mode. There is a need for further investigation that focuses on the physiological mechanisms underlying the positive effects, by inserting a more comprehensive neuro-imaging measurement to assess specifically the domain that benefits in terms of cognitive functions and molecular markers. Finally, exploratory studies are definitely required, which will specifically examine maintenance and treatment effects as well as derive theoretical explanations related to the interventions and predictors.

A combination of cognitive training and physical exercise intervention may improve the global health or cognitive functions.

A combination of cognitive training and physical exercise has been found to improve prevention, care and treatment services in elderly patients with MCI. There is an increase in value in comparison to the study of Karssemeijer, which considered five Indonesian articles.

The health belief model (HBM) is the behavioral change theory most widely used in health behavior studies. Several studies have identified the limitations of this model, one of which concerns the validity in predicting behavioral changes. The purpose of this paper, scoping review, is to map the validity of HBM variables in predicting behavioral changes based on available synthesized evidences.

A scoping review was conducted using the Arksey and O’Malley’s framework. PubMed, Health Evidence, Cochrane Database of Systematic Reviews, ScienceDirect and Google Scholar were searched using a combination of keywords: health belief model, review, systematic review and meta-analysis between February 15 and March 18, 2016.

Of the 1,457 articles, 4 met the inclusion criteria. All results showed that HBM variables were consistently related to behaviors and the strength of the correlation were varied. Perceived barriers and perceived benefits were the strongest predictor, while perceived severity was the weakest. The association between HBM variables and behaviors was moderated by some aspects of behavioral outcomes, the study design and the time interval between measurement of the HBM variables and behavior.

Although the four main variables of HBM have been shown to be related to behavior, the overall outcomes are varied and have not demonstrated conclusive evidence during the last ten years. The results of this scoping review imply the need for a systematic review and meta-analysis of the results of recent studies. In addition, more longitudinal studies are needed to ensure the validity of HBM variables by considering any possible moderators.

While most West European nations were formed around pre-existing entities that could be called “countries” before the modern age, this was not the case in the Middle East. Some entities, like Egypt, did have a clear political and cultural identity before colonialism, others, like Algeria, did not. This chapter discusses the four states of the Maghreb: Morocco, Algeria, Tunisia and Libya, through the perspective of “country creation” going into and coming out of colonial rule. We can see here two “models” of fairly similar types of historical development, one showing a gradual process through a protectorate period to relatively stable modern nations, another through violent conquest and direct colonization ending in violent liberation and military and wealthy but fragile states. The article asks whether these models for the history of country creation and the presence or absence of pre-colonial identities can help explain the modern history and nature of these states in the Arab Spring and the years thereafter. Then, a more tentative attempt is made to apply these models to two countries of the Arab east, Syria and Iraq. While local variations ensure that no model can be transferred directly, it can show the importance of studying the historical factors that go into the transition from geographical region to a country with people that can form the basis of a nation.

Manufacturing firms must embrace smart technologies and develop complex leadership approaches to achieve sustainability. Using the dynamic capability theory, this paper aims to examine the influence of the adoption of industry 4.0 technologies (AT) and paradoxical leadership (PL) on corporate sustainable performance (CSP) of manufacturing small-medium enterprises (SMEs) in Malaysia. Moreover, organisational ambidexterity (OA) is a mediator and strategic flexibility (SF) is a moderator in the study.

The study is a cross-sectional, quantitative study design that collected 395 usable responses through a simple random sampling technique and a close-ended structured questionnaire. Structural equation modelling (SEM) procedures were followed to analyse the data.

The statistical outcome implies that the AT significantly influence CSP and OA and mediate with CSP in the presence of OA. Moreover, PL shows a significant impact on OA, is insignificant on CSP and mediates with OA and CSP. The authors found a significant association between OA and CSP; however, SF did not provide evidence of a moderate effect.

The findings of this study clarify the role that organisational capabilities (OA, AT, PL and SF) play in fostering sustainability. The authors suggest incorporating SMEs from different geographies in other sectors by applying diverse methodologies and relevant constructs.

The result injects new perspectives into policy, managerial and individual levels. Installing OA, AT, PL and SF makes SMEs sustainable.

The empirical validation of the influence of OA and AT on CSP and the interaction of PL and SF enriches the organisational and entrepreneurial literature.

The purpose of this paper is to explore how sales compensation disclosure, salespeople’s perception of corporate social responsibility (CSR) toward customers (i.e. customer-focused CSR), regulatory knowledge and coworkers’ ethical behavior may influence life insurance salespeople’s moral intensity and intentions to engage in misleading sales behaviors.

The hypotheses are analyzed using partial least squares (PLS) regression with the data gathered from full-time life insurance salespeople in Taiwan.

The main findings indicate that disclosing sales compensations will alter the ethical decision-making process of life insurance salespeople. The findings further point out that customer-focused CSR is an important variable affecting moral intensity and ethical intentions.

There has not been any research on the effects of compensation disclosure on moral intensity and misleading sales behavior. The literature gap has led to a poor understanding of the relationship between the compensation disclosure policy and ethical sales behavior. Moreover, previous studies indicate that specific factors (such as moral intensity and ethical intention) are directly associated, while the research shows that as long as a regulatory policy (e.g. the policy of compensation disclosure) changes, the correlation between these variables may shift from significant to nonsignificant (or vice versa). The results are interesting enough to warrant more research, and they also show that the direct link between variables mentioned in previous research is not always stable or universal.

The aim of this paper is to determine whether the efficiency of banks’ human capital (HC) has moderating effects on the relationship between asset diversification and bank performance over the 2008–2020 period.

Our study considers generalized least squares estimation in fixed effects panel.

Results show that banks with higher levels of HC and higher degree of diversification reduce bank profitability and efficiency. The results also depict that the financial stability-reducing effects of Income diversification decrease as bank HC efficiency increases. At the same time, the effects of income and asset diversity on financial stability change depending on the performance aspect.

Previous research on banks’ performance is concentrated on asset diversification. This article broadens to the HC, Asset diversification and the moderating effects of the profitability, stability and efficiency of French Banks.

This paper aims to measure the intention to use digital marketing strategies to enhance the performance of tourism business as well as the extent of digital renovation applications in tourism for sustainable business in a new normal era.

This paper is an insight from the existing relevant literature on the tourism business from time immemorial. The conceptual framework of this study is designed based on previous studies of digital marketing practices for tourism businesses. Furthermore, data were collected from 270 respondents, of which the valid response rate is 72.97%. Partial least square (PLS)-structural equation modeling (SEM) is used to validate the conceptual framework and hypotheses testing.

Among the nine hypotheses path, seven were supported. This study result shows that perceived usefulness, perceived ease of use, social media marketing and tourism business performance are critical factors for adopting digital marketing in tourism. Thus, tourism service providers' intention has a positive impact to meet the expectation of tourists and adoption of digital marketing.

The study's results will assist tourism researchers and service providers in understanding an authentic relationship between digital practices of tourism business and tourist satisfaction. In addition, the legacy of tourism business through digital marketing empowers the owner and community.

The study is the first to explore the relationship between tourism business performance and digital marketing during the new normal era for the empowerment of local community and expanded business in tourism sector.

The crux of this paper is to unveil efficient features and practical tools that can predict credit default.

Annual data of non-financial listed companies were taken from 2000 to 2020, along with 71 financial ratios. The dataset was bifurcated into three panels with three default assumptions. Logistic regression (LR) and k-nearest neighbor (KNN) binary classification algorithms were used to estimate credit default in this research.

The study’s findings revealed that features used in Model 3 (Case 3) were the efficient and best features comparatively. Results also showcased that KNN exposed higher accuracy than LR, which proves the supremacy of KNN on LR.

Using only two classifiers limits this research for a comprehensive comparison of results; this research was based on only financial data, which exhibits a sizeable room for including non-financial parameters in default estimation. Both limitations may be a direction for future research in this domain.

This study introduces efficient features and tools for credit default prediction using financial data, demonstrating KNN’s superior accuracy over LR and suggesting future research directions.

This study aims to design a proposed framework for evaluating university websites.

This study is an exploratory mixed research. It was an applied research in terms of objective and used the Delphi technique and systematic review and meta-analysis approaches. Data collection tools were done through library studies, Delphi checklist and observation. The statistical population of the research comprised 17 experts who are designers of university websites and 20 Iranian university websites selected from the Webometrics website. The statistical data were analyzed using fuzzy methods, descriptive and inferential statistical methods and the SWARA weighting method. Also, the statistical analysis software SPSS 20 and Excel 2016, TOPSIS engineering software and MAXQDA were used.

Findings indicated that the dimensions of the designed proposed framework in order of their weights are credibility (0.130), reliability (0.125), usability (0.120), website design (0.110), functionality (0.104), content (0.100), page design (0.0922), efficiency (0.082), Webometrics (0.070) and systematic evaluation (0.067). Mebrate’s (2010) framework had the highest overlap (mean = 74.65), and Webometrics (mean = 18.5) had the least overlap and dependency (mean = 19) with the proposed framework. In the evaluation of the 20 university websites of Iran selected from the Webometrics site, the University of Tehran was ranked first with a score of 82.7 and Shiraz University was ranked last with a score of 75.

This study provides a comprehensive proposed framework for evaluating university websites that eliminates the shortcomings of all models, frameworks and methods of university website evaluation that focused only on one or more dimensions of university websites.