Challenge to ICT manpower planning under the economic restructuring : empirical evidence from MNCs in Singapore and Taiwan

The study evaluates the issues related to the manpower planning for developing the information, communication and technology (ICT) industry under the economic restructuring in Singapore and Taiwan. Using data collected from 211 multinational companies (MNCs) operating in these two countries, we measured recruitment difficulty and attrition rate experienced by MNCs, and evaluate the extent of ICT skill shortages among the companies surveyed. We found some impact of the nation-pushed ICT manpower planning and development on easing the recruitment difficulty overall at firm level. However, a high attrition rate especially of the low-medium ICT professionals identified in this study may be related to an imbalanced approach taken by the governments to focus on developing high level of science and technology and ICT skills. Implications to the two countries examined and other latecomer countries such as China, India and Vietnam are discussed.

Systematic review and quality appraisal of economic evaluation publications in dentistry

Economic evaluation (EE) studies have been undertaken in dentistry since the late 20th century because economic data provide additional information to policy makers to develop guidelines and set future direction for oral health services. The objectives of this study were to assess the methodological quality of EEs in oral health. Electronic searching of Ovid MEDLINE, the Cochrane Library, and the NHS Economic Evaluation Database from 1975 to 2013 were undertaken to identify publications that include costs and outcomes in dentistry. Relevant reference lists were also searched for additional studies. Studies were retrieved and reviewed independently for inclusion by 3 authors. Furthermore, to appraise the EE methods, 1 author applied the Drummond 10-item (13-criteria) checklist tool to each study. Of the 114 publications identified, 79 studies were considered full EE and 35 partial. Twenty-eight studies (30%) were published between the years 2011 and 2013. Sixty-four (53%) studies focused on dental caries prevention or treatment. Median appraisal scores calculated for full and partial EE studies were 11 and 9 out of 13, respectively. Quality assessment scores showed that the quality of partial EE studies published after 2000 significantly improved (P = 0.02) compared to those published before 2000. Significant quality improvement was not found in full EE studies. Common methodological limitations were identified: absence of sensitivity analysis, discounting, and insufficient information on how costs and outcomes were measured and valued. EE studies in dentistry increased over the last 40 y in both quantity and quality, but a number of publications failed to satisfy some components of standard EE research methods, such as sensitivity analysis and discounting.

Economic models of preventive dentistry for Australian children and adolescents

Purpose:
To identify economic evaluation models and parameters that could be replicated or adapted to construct a generic model to assess cost-effectiveness of and prioritise a wide range of community-based oral disease prevention programmes in an Australian context.
Methods:
The literature search was conducted using MEDLINE, ERIC, PsycINFO, CINHAL (EBSCOhost), EMBASE (Ovid), CRD, DARE, NHSEED, HTA, all databases in the Cochrane library, Scopus and ScienceDirect databases from their inception to November 2012.
Results:
Thirty-three articles met the criteria for inclusion in this review (7 were Australian studies, 26 articles were international). Existing models focused primarily on dental caries. Periodontal disease, another common oral health problem, was lacking. Among caries prevention studies, there was an absence of clear evidence showing continuous benefits from primary through to permanent dentition and the long-term effects of oral health promotion.
Conclusion:
No generic model was identified from previous studies that could be immediately adopted or adapted for our purposes of simulating and prioritising a diverse range of oral health interventions for Australian children and adolescents. Nevertheless, data sources specified in the existing Australian-based models will be useful for developing a generic model for such purposes.