Dataset Information

Defining and Measuring Safety Climate: A Review of the Construction Industry Literature.

ABSTRACT: Safety climate measurements can be used to proactively assess an organization's effectiveness in identifying and remediating work-related hazards, thereby reducing or preventing work-related ill health and injury. This review article focuses on construction-specific articles that developed and/or measured safety climate, assessed safety climate's relationship with other safety and health performance indicators, and/or used safety climate measures to evaluate interventions targeting one or more indicators of safety climate. Fifty-six articles met our inclusion criteria, 80% of which were published after 2008. Our findings demonstrate that researchers commonly defined safety climate as perception based, but the object of those perceptions varies widely. Within the wide range of indicators used to measure safety climate, safety policies, procedures, and practices were the most common, followed by general management commitment to safety. The most frequently used indicators should and do reflect that the prevention of work-related ill health and injury depends on both organizational and employee actions. Safety climate scores were commonly compared between groups (e.g. management and workers, different trades), and often correlated with subjective measures of safety behavior rather than measures of ill health or objective safety and health outcomes. Despite the observed limitations of current research, safety climate has been promised as a useful feature of research and practice activities to prevent work-related ill health and injury. Safety climate survey data can reveal gaps between management and employee perceptions, or between espoused and enacted policies, and trigger communication and action to narrow those gaps. The validation of safety climate with safety and health performance data offers the potential for using safety climate measures as a leading indicator of performance. We discuss these findings in relation to the related concept of safety culture and offer suggestions for future research and practice including (i) deriving a common definition of safety climate, (ii) developing and testing construction-specific indicators of safety climate, and (iii) focusing on construction-specific issues such as the transient workforce, subcontracting, work organization, and induction/acculturation processes.

SUBMITTER: Schwatka NV

PROVIDER: S-EPMC7778735 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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Defining and Measuring Safety Climate: A Review of the Construction Industry Literature.

Schwatka Natalie V NV Hecker Steven S Goldenhar Linda M LM

The Annals of occupational hygiene 20160419 5

Safety climate measurements can be used to proactively assess an organization's effectiveness in identifying and remediating work-related hazards, thereby reducing or preventing work-related ill health and injury. This review article focuses on construction-specific articles that developed and/or measured safety climate, assessed safety climate's relationship with other safety and health performance indicators, and/or used safety climate measures to evaluate interventions targeting one or more i ...[more]

PMID: 27094180

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Project description:BackgroundMicroservices are an architectural approach of growing use, and the optimal granularity of a microservice directly affects the application's quality attributes and usage of computational resources. Determining microservice granularity is an open research topic.MethodologyWe conducted a systematic literature review to analyze literature that addresses the definition of microservice granularity. We searched in IEEE Xplore, ACM Digital Library and Scopus. The research questions were: Which approaches have been proposed to define microservice granularity and determine the microservices' size? Which metrics are used to evaluate microservice granularity? Which quality attributes are addressed when researching microservice granularity?ResultsWe found 326 papers and selected 29 after applying inclusion and exclusion criteria. The quality attributes most often addressed are runtime properties (e.g., scalability and performance), not development properties (e.g., maintainability). Most proposed metrics were about the product, both static (coupling, cohesion, complexity, source code) and runtime (performance, and usage of computational resources), and a few were about the development team and process. The most used techniques for defining microservices granularity were machine learning (clustering), semantic similarity, genetic programming, and domain engineering. Most papers were concerned with migration from monoliths to microservices; and a few addressed green-field development, but none address improvement of granularity in existing microservice-based systems.ConclusionsMethodologically speaking, microservice granularity research is at a Wild West stage: no standard definition, no clear development-operation trade-offs, and scarce conceptual reuse (e.g., few methods seem applicable or replicable in projects other than their initial proposal). These gaps in granularity research offer clear options to investigate on continuous improvement of the development and operation of microservice-based systems.

Project description:BackgroundSafety is a key concern in older adult care homes. However, it is a less developed concept in older adult care homes than in healthcare settings. As part of study of the collection and application of safety data in the care home sector in England, a scoping review of the international literature was conducted.ObjectivesThe aim of the review was to identify measures that could be used as indicators of safety for quality monitoring and improvement in older adult residential or nursing care homes.Sources of evidenceSystematic searches for journal articles published in English language from 1 January 1970, without restriction to the study location or country, were conducted in Web of Science, Scopus and PubMed on 28 July 2019.Eligibility criteriaInclusion criteria were: peer-reviewed journal articles; qualitative or quantitative studies of older adult nursing and/or residential care homes; and related to any aspect of safety in care homes, including the safety of healthcare provision in the care home. A total of 45 articles were included after review of the title/abstract or full text against the inclusion criteria.Charting methodsKey information was extracted and charted. These findings were then mapped to the Safety Measurement and Monitoring Framework in healthcare (SMMF), adapted by the research team to reflect the care home context, to determine the coverage of different aspects of safety, as well as potential gaps.Results and conclusionsSystematic searches for journal articles published in English language from 1 January 1970, without restriction to the study location or country, were conducted in Web of Science, Scopus and PubMed on 28 July 2019. Inclusion criteria were: peer-reviewed journal articles; qualitative or quantitative studies of older adult nursing and/or residential care homes; and related to any aspect of safety in care homes, including the safety of healthcare provision in the care home.A total of 45 articles were included after review of the title/abstract or full text against the inclusion criteria. Key information was extracted and charted. These findings were then mapped to the Safety Measurement and Monitoring Framework in healthcare (SMMF), adapted by the research team to reflect the care home context, to determine the coverage of different aspects of safety, as well as potential gaps.The findings indicate that there are a range of available safety measures used for quality monitoring and improvement in older adult care homes. These cover all five domains of safety in the SMMF. However, there are potential gaps. These include user experience, psychological harm related to the care home environment, abusive or neglectful care practice and the processes for integrated learning. Some of these gaps may relate to challenges and feasibility of measurement in the care home context.

Project description:BackgroundPhysicians routinely encounter diagnostic uncertainty in practice. Despite its impact on health care utilization, costs and error, measurement of diagnostic uncertainty is poorly understood. We conducted a systematic review to describe how diagnostic uncertainty is defined and measured in medical practice.MethodsWe searched OVID Medline and PsycINFO databases from inception until May 2017 using a combination of keywords and Medical Subject Headings (MeSH). Additional search strategies included manual review of references identified in the primary search, use of a topic-specific database (AHRQ-PSNet) and expert input. We specifically focused on articles that (1) defined diagnostic uncertainty; (2) conceptualized diagnostic uncertainty in terms of its sources, complexity of its attributes or strategies for managing it; or (3) attempted to measure diagnostic uncertainty.Key resultsWe identified 123 articles for full review, none of which defined diagnostic uncertainty. Three attributes of diagnostic uncertainty were relevant for measurement: (1) it is a subjective perception experienced by the clinician; (2) it has the potential to impact diagnostic evaluation-for example, when inappropriately managed, it can lead to diagnostic delays; and (3) it is dynamic in nature, changing with time. Current methods for measuring diagnostic uncertainty in medical practice include: (1) asking clinicians about their perception of uncertainty (surveys and qualitative interviews), (2) evaluating the patient-clinician encounter (such as by reviews of medical records, transcripts of patient-clinician communication and observation), and (3) experimental techniques (patient vignette studies).ConclusionsThe term "diagnostic uncertainty" lacks a clear definition, and there is no comprehensive framework for its measurement in medical practice. Based on review findings, we propose that diagnostic uncertainty be defined as a "subjective perception of an inability to provide an accurate explanation of the patient's health problem." Methodological advancements in measuring diagnostic uncertainty can improve our understanding of diagnostic decision-making and inform interventions to reduce diagnostic errors and overuse of health care resources.

Dataset Information

Defining and Measuring Safety Climate: A Review of the Construction Industry Literature.

Publications

Defining and Measuring Safety Climate: A Review of the Construction Industry Literature.

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