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1 – 10 of over 36000Deirdre McCaughey, Gwen McGhan and Amy Yarbrough Landry
Occupational injury in the health care sector in the United States rates among the highest of all industries. Specific to hospital support service workers (e.g., Food & Nutrition…
Abstract
Occupational injury in the health care sector in the United States rates among the highest of all industries. Specific to hospital support service workers (e.g., Food & Nutrition, Environmental Services), studies have shown that injury rates for support service workers tend to be among the highest of hospital personnel, and yet there is a shortage of research investigating the safety climate of these workers. Therefore, the purpose of this study is to examine safety perceptions of support service workers. Surveys were used to measure safety climate leadership factors (per the AHRQ's Survey of Patient Safety Culture) to determine if they are related to individual safety perceptions, as well as ratings of work unit safety. Following established safety climate research, we examined the role of the work environment (e.g., supervisor support and work unit culture) on safety perceptions. We found that both supervisor and organizational safety leadership are positively related to individual safety perceptions and supervisor support. Organizational safety leadership and work unit culture were positively related to work unit safety rating. Our findings demonstrate that the antecedent factors and pathways that promote a positive safety climate among health care providers functions in a similar manner for support service workers. These findings contribute to a better understanding of occupational safety of this understudied work group and provide evidence to hospital administration that developing a strong safety climate among support service workers is not entirely different from what is required to promote a robust safety climate across an organization.
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The stressors, and subsequent mental health sequelae, associated with being a part of the frontline, patient-facing healthcare response to the COVID-19 pandemic have been clear…
Abstract
The stressors, and subsequent mental health sequelae, associated with being a part of the frontline, patient-facing healthcare response to the COVID-19 pandemic have been clear from the very start of the pandemic. However, a broader group of workers, perhaps typically not considered to be part of the frontlines of a public health emergency response, have also been deemed essential to the response to the COVID-19 pandemic. Protective service workers, including law enforcement and emergency services, those working in food production, processing, and dietetics, maintenance and environmental service workers, and laboratory workers are among those unable to work from home, yet potentially unaccustomed to the stressors of being an essential workers during a public health emergency. Changes to many systems – including health insurance and other benefits, provision of personal protective equipment, and prioritizations for vaccinations and other pharmaceutical and nonpharmaceutical interventions – are needed going forward to retain and protect essential workers during future public health emergencies.
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The COVID-19 pandemic stressed the health care sector's longstanding pain points, including the poor quality of frontline work and the staffing challenges that result from it…
Abstract
The COVID-19 pandemic stressed the health care sector's longstanding pain points, including the poor quality of frontline work and the staffing challenges that result from it. This has renewed interest in technology-centered approaches to achieving not only the “Triple Aim” of reducing costs while raising access and quality but also the “Quadruple Aim” of doing so without further squeezing wages and abrading job quality for frontline workers.
How can we leverage technology toward the achievement of the Quadruple Aim? I view this as a “grand challenge” for health care managers and policymakers. Those looking for guidance will find that most analyses of the workforce impact of technological change consider broad classes of technology such as computers or robots outside of any particular industry context. Further, they typically predict changes in work or labor market outcomes will come about at some ill-defined point in the medium to long run. This decontextualization and detemporization proves markedly problematic in the health care sector: the nonmarket, institutional factors driving technology adoption and implementation loom especially large in frontline care delivery, and managers and policymakers understandably must consider a well-defined, near-term, i.e., 5–10-year, time horizon.
This study is predicated on interviews with hospital and home health agency administrators, union representatives, health care information technology (IT) experts and consultants, and technology developers. I detail the near-term drivers and anticipated workforce impact of technological changes in frontline care delivery. With my emergent prescriptions for managers and policymakers, I hope to guide sectoral actors in using technology to address the “grand challenge” inherent to achieving the Quadruple Aim.
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Naglaa M. Abdo, Wafaa S. Hamza and Mariam A. Al-Fadhli
The purpose of this paper is to assess the effectiveness of Kuwait Infection Control Directorate educational program in improving knowledge, attitude and practices (KAP) of…
Abstract
Purpose
The purpose of this paper is to assess the effectiveness of Kuwait Infection Control Directorate educational program in improving knowledge, attitude and practices (KAP) of environmental service workers (ESWs) regarding the management of infectious and sharps waste.
Design/methodology/approach
An interventional educational pre-test/post-test study was conducted over seven months, on a sample of 102 ESWs in Farwaniya General Government Hospital, Kuwait. Educational sessions and practical training using the KAP approach were applied during the intervention phase. The KAP of the participants were assessed using a questionnaire and observation checklist in the pre- and post-intervention phases.
Findings
Improvement in all aspects of the KAP regarding infectious and sharps waste management was observed among the participants after implementation of the intervention, with a statistically significant difference between pre- and post-test results (p<0.01).
Originality/value
The applied multi-component educational program in the current study can be successfully implemented for ESWs in all government hospitals in Kuwait and other countries with similar settings.
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Sandunika Sasuli Chiranthi Ginthotavidana and Kapugama Geeganage Anuradha Samarajeewa Waidyasekara
The purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities.
Abstract
Purpose
The purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities.
Design/methodology/approach
An exploratory sequential mixed approach was adopted in the study to collect and analyse data. A case study strategy was adopted in the initial phase to explore the current HK practices, and to determine the applicable key performance indicators (KPIs) found through literature. Semi-structured interviews were used as the data collection method in the selected case studies. A questionnaire survey was conducted in the next phase to verify the validity of case study findings. Quantitative data were analysed using descriptive statistics. One sample t-test was used to identify significant KPIs and to formulate the customised performance measurement (PM) model.
Findings
The study identified and ranked 46 KPIs, which can be used to measure the performance of HK divisions of health-care facilities, in balanced scorecard perspectives. The findings also revealed that the KPIs determined using the model have a significant impact on implementing effective health-care HK services and could be used to measure both real and subjective cleanliness.
Practical implications
The developed model can be used for numerous PM requirements in health-care setups in both developing and developed countries. The KPIs determined using this model can be presented in quality audits and government inspections as proof of effective HK management. The HK managers of the health-care sector can effectively monitor the performance of their divisions using the proposed PM model and this model can be customised to match the other facilities management service divisions.
Originality/value
Many studies focus on overall health-care PM. This study expands the knowledge on HK PM in the health-care sector by presenting a collection of performance indicators centred on HK function.
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Companies in general have not lived up to their ethical responsibility in assisting workers in decreasing workrelated accidents and illnesses. This paper presents a systematic…
Abstract
Companies in general have not lived up to their ethical responsibility in assisting workers in decreasing workrelated accidents and illnesses. This paper presents a systematic four‐stage employee involvement model that was successful in transforming a company’s culture to become a model for preserving workers’ rights to safe working conditions. By changing the prevailing management ideology on safety, the model offers a positive solution to improving workplace safety and morale, while preserving the workers’ rights to be involved in decisions that affect the quality of their lives.
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This study aims to examine human-made oil–gas disasters to illustrate how a prescriptive model could be developed. Resilience to human-made disasters, such as oil or gas spills…
Abstract
Purpose
This study aims to examine human-made oil–gas disasters to illustrate how a prescriptive model could be developed. Resilience to human-made disasters, such as oil or gas spills, can be improved by using prescriptive models developed by analyzing past behavior. This type of study is useful for urban planning and monitoring, as there is a higher probability of human triggered disasters in densely populated areas.
Design/methodology/approach
This study examined 10 years of more than 1,000 oil–gas disasters that were caused by humans in the upstate New York area to illustrate how a prescriptive model could be developed.
Findings
A statistically significant predictive model was developed that indicated humans in certain industry categories were approximately six times more likely to have an oil–gas accident resulting in environmental pollution.
Research limitations/implications
A prescriptive environmental protection model based on human accident behavior would generalize to all levels of government for policy planning, and it would be relevant to environmental protection groups in any region with a large population of humans using oil and gas (that covers most countries on earth).
Originality/value
The empirical risk management literature was reviewed to identify factors related to environmental accident prediction with the goal of developing an explanatory model that would fit the oil–gas human accident data.
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Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some…
Abstract
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.
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Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18;…
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Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.