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Source publication
Recently, there has been a massive infrastructure development and an increasing demand for public and private housing, resulting in a shortage of qualified quantity surveyors. This study aims to forecast the demand for qualified quantity surveyors in Hong Kong from 2013 to 2015. Literature review indicates that the demand for quantity surveyors is...
Context in source publication
Context 1
... the adjustment of retired members, the number of qualified quantity surveyors will be 2 245, 2 328 and 2 406 in 2013, 2014 and 2015 respectively. The forecasted supply and demand of qualified quantity surveyors are summarised in As shown in Table 6, there will be more and more serious shortage of qualified quantity surveyors in the coming three years because the increasing demand for quantity surveyors, the limited supply of newly qualified members and the retirement of more experienced members. ...
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Citations
... Alternative dispute resolution and expert witness services too have great future potential where QS firms are considered (Frei et al., 2013). QS professionals are increasingly engaging in various features of facility management (Ho, 2013). They also provide various services to the oil and gas industries and rail networks (Owusu-Manu et al., 2014). ...
... They also provide various services to the oil and gas industries and rail networks (Owusu-Manu et al., 2014). Furthermore, Ho (2013) predict that the QS professionals are likely to be involved in specialist services such as project monitoring, development appraisal, management, and disaster management. ...
The Quantity Surveying (QS) profession is under pressure and QS entrepreneurship is an area in need of further research. No explicit body of knowledge, however, has been devoted to the context of Sri Lanka. The present study aims to address this issue through exploring the key aspects of QS entrepreneurship in Sri Lanka. A review of the literature was conducted, followed by a mixed approach. Six interviews were carried with industry experts using a questionnaire survey to elicit perceptions from QS. Findings provide: (1) a picture of the current QS entrepreneurship in Sri Lanka, (2) problems and issues affecting it and (3) several remedial solutions to deal with the identified problems. According to the findings, the most serious problem with current Sri Lankan QS entrepreneurship is the lack of competency and an absence of IT-based and automated solutions in providing service, which make the market limited and risky in long term outlook. The study contributes to the field by unearthing the QS entrepreneurship environment in Sri Lanka, carrying implications for QS professionals, as well as policy makers.
Keywords:
Entrepreneurship, Market problems and issues, Professional Development, Quantity Surveyor, Sri Lanka.
Purpose
This paper aims to make a systematic review of the manpower prediction model of the construction industry. It aims to determine the forecasting model's development trend, analyse the use limitations and applicable conditions of each forecasting model and then identify the impact indicators of the human resource forecasting model from an economic point of view. It is hoped that this study will provide insights into the selection of forecasting models for governments and groups that are dealing with human resource forecasts.
Design/methodology/approach
The common search engine, Scopus, was used to retrieve construction manpower forecast-related articles for this review. Keywords such as “construction”, “building”, “labour”, “manpower” were searched. Papers that not related to the manpower prediction model of the construction industry were excluded. A total of 27 articles were obtained and rated according to the publication time, author and organisation of the article. The prediction model used in the selected paper was analysed.
Findings
The number of papers focussing on the prediction of manpower in the construction industry is on the rise. Hong Kong is the region with the largest number of published papers. Different methods have different requirements for the quality of historical data. Most forecasting methods are not suitable for sudden changes in the labour market. This paper also finds that the construction output is the economic indicator with the most significant influence on the forecasting model.
Research limitations/implications
The research results discuss the problem that the prediction results are not accurate due to the sudden change of data in the current prediction model. Besides, the study results take stock of the published literature and can provide an overall understanding of the forecasting methods of human resources in the construction industry.
Practical implications
Through this study, decision-makers can choose a reasonable prediction model according to their situation. Decision-makers can make clear plans for future construction projects specifically when there are changes in the labour market caused by emergencies. Also, this study can help decision-makers understand the current research trend of human resources forecasting models.
Originality/value
Although the human resource prediction model's effectiveness in the construction industry is affected by the dynamic change of data, the research results show that it is expected to solve the problem using artificial intelligence. No one has researched this area, and it is expected to become the focus of research in the future.
Background
Real-world patients’ medication adherence is lower than that of clinical trial patients. Hence, the effectiveness of medications in routine practice may differ.
Objectives
The study objective was to compare the outcomes of an adherence-naive versus a dynamic adherence modeling framework using the case of statins for the primary prevention of cardiovascular (CV) disease.
Methods
Statin adherence was categorized into three state-transition groups on the basis of an epidemiological cohort study. Yearly adherence transitions were incorporated into a Markov microsimulation using TreeAge software. Tracker variables were used to store adherence transitions, which were used to adjust probabilities of CV events over the patient’s lifetime. Microsimulation loops “random walks” estimated the average accrued quality-adjusted life-years (QALYs) and CV events. For each 1,000-patient microsimulations, 10,000 outer loops were performed to reflect second-order uncertainty.
Results
The adherence-naive model estimated 0.14 CV events avoided per person, whereas the dynamic adherence model estimated 0.08 CV events avoided per person. Using the adherence-naive model, we found that statin therapy resulted in 0.40 QALYs gained over the lifetime horizon on average per person while the dynamic adherence model estimated 0.22 incremental QALYs gained. Subgroup analysis revealed that maintaining high adherence in year 2 resulted in 0.23 incremental QALYs gained as compared with 0.16 incremental QALYs gained when adherence dropped to the lowest level.
Conclusions
A dynamic adherence Markov microsimulation model reveals risk reduction and effectiveness that are lower than with an adherence-naive model, and reflective of real-world practice. Such a model may highlight the value of improving or maintaining good adherence.
Background/objectives:
Over the past decade, the development of novel management strategies has resulted in improved outcomes among patients hospitalized with ST-segment myocardial infarction (STEMI). The aim of the present study was to compare temporal trends in the mortality of smokers versus non-smokers admitted with STEMI in a real world setting between 2000 and 2010.
Methods:
We evaluated time-dependent changes in the clinical characteristics, management strategies, and one year all-cause mortality of STEMI patients who were enrolled in the biannual Acute Coronary Syndrome Israeli Survey (ACSIS) between 2000 and 2010, categorized as smokers (n=2399) and non-smokers (n=3069). We divided the survey periods into early (2000-2004) and late (2006-2010). The primary endpoint of the study was the occurrence of one-year all-cause mortality.
Results:
A total of 4564 STEMI patients were enrolled in the study. Compared with non-smokers, smokers were significantly younger and displayed a significantly lower rate of all-cause mortality at 30 days and 1-year. Both smokers and non-smokers who were enrolled in the late survey period received more evidence-based therapies (primary PCI and guideline-based medications) (p<0.001 for all). There was a significant reduction in the risk of 1-year all-cause mortality only among non-smokers (HR=0.664 CI 95% 0.52-0.85, p=0.0009), whereas smokers who were enrolled in more recent survey periods did not display a significant risk reduction (HR=1.08 CI 95% 0.77-1.51, p=0.67).
Conclusion:
Survival following STEMI among smokers has not improved over the past decade despite corresponding changes in management strategies. Future trials should focus on reducing the risk in smokers.
