Re-engineering the Resident Applicant Selection Process in Ophthalmology: A Literature Review and Recommendations for Improvement

2008 ◽  
Vol 53 (2) ◽  
pp. 164-176 ◽  
Author(s):  
Andrew G. Lee ◽  
Karl C. Golnik ◽  
Thomas A. Oetting ◽  
Hilary A. Beaver ◽  
H. Culver Boldt ◽  
...  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Nasrin Hafezparast ◽  
Ellie Bragan Turner ◽  
Rupert Dunbar-Rees ◽  
Alice Vodden ◽  
Hiten Dodhia ◽  
...  

Abstract Background Defining multimorbidity has proved elusive in spite of attempts to standardise definitions. For national studies, a broad definition is required to capture national diversity. For locally based studies, the definition may need to reflect demographic and morbidity patterns. We aimed to define multimorbidity for an inner city, multi-ethnic, deprived, young age community typical of many large cities. Methods We used a scoping literature review to identify the international literature, standards and guidelines on Long Term Condition (LTC) definitions for inclusion in our multimorbidity definition. Consensus was categorised into high, medium or low consensus, depending on the number of literature sources citing each LTC. Findings were presented to a workshop consisting of local health service stakeholders who were asked to select LTCs for inclusion in a second stage review. In the second stage, each LTC was tested against seven evaluation domains: prevalence, impact, preventability, treatment burden, progression to multiple LTCs, impact on younger people, data quality. These domains were used to create 12 target criteria. LTC rankings according to consensus group and target criteria scores were presented to a second workshop for a final decision about LTC inclusion. Results The literature review identified 18 literature sources citing 86 LTCs: 11 were excluded because they were LTC clusters. The remainder were allocated into consensus groupings: 13 LTCs were ‘high consensus’ (cited by ≥ 11 sources); 15 were ‘medium consensus’ (cited by 5–10 sources); 47 were ‘low consensus’ (cited by < 5 sources). The first workshop excluded 31 LTCs. The remaining 44 LTCs consisted of: 13 high consensus LTCs, all with high target score (score 6–12); 15 medium consensus LTCs, 11 with high target scores; 16 low consensus LTCs, 6 with high target scores. The final workshop selected the 12 high consensus conditions, 12 medium consensus LTCs (10 with high target scores) and 8 low consensus LTCs (3 with high target scores), producing a final selection of 32 LTCs. Conclusions Redefining multimorbidity for an urban context ensures local relevance but may diminish national generalisability. We describe a detailed LTC selection process which should be generalisable to other contexts, both local and national.


Author(s):  
Michela Luciana Luisa Zini ◽  
Giuseppe Banfi

There is a growing interest in the collection and use of patient reported outcomes because they not only provide clinicians with crucial information, but can also be used for economic evaluation and enable public health decisions. During the collection phase of PROMs, there are several factors that can potentially bias the analysis of PROM data. It is crucial that the collected data are reliable and comparable. The aim of this paper was to analyze the type of bias that have already been taken into consideration in the literature. A literature review was conducted by the authors searching on PubMed database, after the selection process, 24 studies were included in this review, mostly regarding orthopedics. Seven types of bias were identified: Non-response bias, collection method related bias, fatigue bias, timing bias, language bias, proxy response bias, and recall bias. Regarding fatigue bias and timing bias, only one study was found; for non-response bias, collection mode related bias, and recall bias, no agreement was found between studies. For these reasons, further research on this subject is needed in order to assess each bias type in relation to each medical specialty, and therefore find correction methods for reliable and comparable data for analysis.


Author(s):  
Benjamin R. Sperry ◽  
Bhaven Naik ◽  
Jeffery E. Warner

Public agencies involved with highway-railroad grade crossing safety must allocate available funding to projects which are considered the most in need for improvements. Mathematical models provide a ranking of hazard risk at crossings and support the project selection process. This paper reports the results of a research study sponsored by the Ohio Rail Development Commission (ORDC) and the Ohio Department of Transportation (ODOT) examining hazard ranking models for grade crossing project selection. The goal of the research was to provide ORDC, ODOT, and other stakeholders with a better understanding of the grade crossing hazard ranking formulas and other methods used by States to evaluate grade crossing hazards and select locations for hazard elimination projects. A comprehensive literature review along with personal interviews of state DOT personnel from eight states yielded best practices for hazard ranking and project selection. The literature review found that more than three-quarters of states utilize some type of hazard ranking formula or other systematic method for project prioritization. The most commonly-used hazard ranking model in use is the U.S. DOT Accident Prediction Model; however, at least eleven states utilize state-specific hazard ranking models. Detailed evaluation of several different hazard ranking models determined that the existing hazard ranking model used in Ohio, the U.S. DOT Accident Prediction Model, should continue to be used. The research also recommends greater use of sight distance information at crossings and expanding the preliminary list of crossings to be considered in the annual program as enhancements to the existing project selection process used by the ORDC and ODOT.


2012 ◽  
Vol 7 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Seyda Findik ◽  
Ali Kusakci ◽  
Fehim Findik ◽  
Sumeyye Kusakci

Selection and Implementation of ERP Systems: A Comparison of SAP implementation between BIH and Turkey In this research, the selection and implementation of ERP Systems will be discussed. The ERP concept, the selection process, and the importance of selecting a certain ERP solution for the companies will also be dealt with. However, implementation of ERP software brings not only benefits, but also incurs costs. After the literature review of ERP implementation strategies, a survey is reviewed that was conducted among several large and mid-size companies that adopted SAP, one of the major ERP solutions, in their businesses in Bosnia and Herzegovina and Turkey. The focus of the survey will be on different aspects of SAP implementation, such as struggles that have been faced during its implementation and its benefits following implementation. In the final section, a comparison is made between Turkish and Bosnian companies. While the study indicates some differences in implementation strategies and major benefits, similarities between the two countries are more pronounced.


Author(s):  
CEYDA GÜNGÖR ŞEN ◽  
HAYRİ BARAÇLI ◽  
SELÇUK ŞEN

The evaluation and selection of enterprise software has become increasingly difficult for decision makers due to a large number of software products available for many applications. Therefore, systematic and repeatable approaches are needed in order to select the appropriate product that best meets the customer requirements. In this paper, we present a literature review and classification of enterprise software selection approaches from the period 1982–2007. In addition to classifying the selected approaches by functional perspective, the decision-making methods used by these approaches in the generic phases of software selection process are also presented. Results are summarized with comprehensive classification tables. This study is intended as a source for academics and practitioners alike interested in software selection problem, especially those who want to see alternative decision-making techniques that can be used to support the every single step of software selection process.


2021 ◽  
Author(s):  
Lena Fanya Aeschbach ◽  
Sebastian Andrea Caesar Perrig ◽  
Lorena Weder ◽  
Klaus Opwis ◽  
Florian Brühlmann

Measuring theoretical concepts, so-called constructs, is a central challenge of Player Experience research. Building on recent work in HCI and psychology, we conducted a systematic literature review to study the transparency of measurement reporting. We accessed the ACM Digital Library to analyze all 48 full papers published at CHI PLAY 2020, of those, 24 papers used self-report measurements and were included in the full review. We assessed specifically, whether researchers reported What, How and Why they measured. We found that researchers matched their measures to the construct under study and that administrative details, such as number of points on a Likert-type scale, were frequently reported. However, definitions of the constructs to be measured and justifications for selecting a particular scale were sparse. Lack of transparency in these areas threaten the validity of singular studies, but further compromise the building of theories and accumulation of research knowledge in meta-analytic work. This work is limited to only assessing the current transparency of measurement reporting at CHI PLAY 2020, however we argue this constitutes a fair foundation to asses potential pitfalls. To address these pitfalls, we propose a prescriptive model of a measurement selection process, which aids researchers to systematically define their constructs, specify operationalizations, and justify why these measures were chosen. Future research employing this model should contribute to more transparency in measurement reporting. The research was funded through internal resources. All materials are available on https://osf.io/4xz2v/.


Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6137
Author(s):  
Tamás Mizik

Meeting the increasing global energy demand in a sustainable way is a major challenge for humanity. One of the solutions in the transportation sector is ethanol, which is currently the only economically viable direct fuel substitute. In addition to the first-generation technology, which provides the vast majority of production, better results can be continuously realized by using advanced technologies. This study aims to investigate the economic aspects and sustainability issues of ethanol production with a systematic literature review. During the selection process, 64 studies from a total of 16,141 identified articles were analyzed in-depth. There is a consensus that first-generation production methods cannot result in a long-term solution. However, advanced technologies are currently immature, and ethanol production is more expensive with them. The use of wastes/residues and coproducts can improve both the economic outlook and sustainability of the advanced technologies. Overall, the newer generations of technological advancements are constantly improving the environmental performance, whereas the economic performance is deteriorating. Considering low oil prices (0.36 USD/L), none of the ethanol production methods can be competitive on a purely cost basis. This increases the importance of coproducts (further processing and more valuable coproducts). Regarding sustainability, a complex analysis is essential, which must cover at least the environmental, social, and economic aspects. At the methodology level, a complex life cycle analysis seems to be the best tool, as it can take into account these relevant aspects (environmental, economic, and social).


2018 ◽  
Vol 7 (3.20) ◽  
pp. 35
Author(s):  
Abdullah Abdullah Al-Sakkaf ◽  
Mazni Omar ◽  
Mazida Ahmad

Having a solid theoretical foundation is essential for designing an effective software visualization (SV) tool. Despite the decades of developing different SV tools, there are still doubts about their effectiveness. Furthermore, learner engagement plays an important role in building a successful SV tool. In programming education, the problem of the high failure rates among students is still unresolved. Therefore, there is a need to understand the theories behind the exciting SV tools from the engagement perspective in order to have a road map for future tool construction. Yet the factors influencing learner engagement in SV tools are still unclear. This study set out to determine how to develop an SV design model to enhance student engagement in an introductory programming course. A systematic literature review (SLR) was used to obtain an overview of the current theoretical foundation used. The search identified a total of 432 papers between 2011 and 2017. This study examined 58 papers selected based on a well-defined selection process. In this paper, the contribution in constructing the protocol for SLR is presented as well as the preliminary results of the study. The researchers were in the process of data extraction phase to address the research questions. The expected outcomes of this review became the identification of a theoretical background used to construct and explain engagement in software visualization. The expected output of this study was a list of the factors that have a positive impact on learner engagement in SV tools.  


Author(s):  
Nur Ani ◽  
Vina Ayumi ◽  
Handrie Noprisson

The propose of this research is to review the IS adoption model that can be applied to Enterprise 2.0 such as including social networks, virtual community (group discussion), cyber meetings, online chat, enterprise social software, social commerce, Customer Relationship Management (CRM) and project management. The systematic literature review (SLR) method used in this research is proposed by Kitchenham in 2004. This research reviewed 257 research papers and then selection process used the inclusion criteria based on the title and abstract, and it selected 47 paper. In the selection process used inclusion criteria for full text and it produced 19 paper. Then in the final stage or the 3rd stage, the selection used exclusion criteria and produce 15 papers. As conclusions, IS adoption model adopt some theories such as TOE framework, TAM, UTAUT, TOS, diffusion innovation theory and social capital theory. Some factors that affect the adoption of this model are technology, organization, environment, competency, personal and others.


Author(s):  
Kristina R. Weimer

The purpose of this literature review was to examine education research on mentor identification, selection, preparation, and ongoing development. I organized the review in three main sections: (a) criteria for mentor identification and selection, (b) mentor preparation and development practices and processes, and (c) implications for music education. Potential mentors must possess a variety of professional and personal skills to effectively navigate their role and should be selected via a clearly defined and rigorous selection process. Sufficient preparation can increase mentor satisfaction, confidence, effectiveness, self-efficacy, and help enhance novice teacher effectiveness. The preparation and development process should be personalized and flexible, providing mentors a variety of materials and resources along with plentiful opportunities to reflect and interact with each other to share ideas, strategies, successes, and challenges.


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