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This article focuses on methods and tools to measure worker satisfaction with reference to industrial automation. Despite technological advances in automation, the role of human workers on industrial shop floors remains crucial. To promote humans' roles, production systems should be designed and organized so workers are valued and get satisfactory jobs. The article presents a novel holistic model of worker satisfaction with adaptive automation and working conditions. The model takes into account psychosocial and physical working conditions and the characteristics of the automation system the worker interacts with and its user interface. We propose a questionnaire to be used as a practical tool to assess worker satisfaction with industrial automation, considering also the case of adaptive automation. The proposed version of the questionnaire is the result of pilot testing carried out among shop floor operators and takes into account adjustments derived from end-user feedback.
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http://dx.doi.org/10.1080/10803548.2021.1899649 | DOI Listing |
AJP Rep
July 2025
Allo Hope Foundation, Tuscaloosa, Alabama.
Objective: The purpose of this study was to investigate mental health and impacts upon daily life in patients with a history of pregnancy alloimmunization, and secondarily to examine the relationship between disease severity and quality of care on these outcomes.
Study Design: This was a survey administered between November 2022 and February 2023 to U.S.
BMJ Public Health
September 2025
Affiliated to Wenzhou Medical University, Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Linhai, China.
Objective: The aim of this study is to analyse the factors affecting medical burnout in hospitals, identify the characteristics of staff experiencing high levels of burnout and devise a practical and sustainable prediction mechanism.
Methods: A survey was conducted to access the current situation, followed by a regression analysis using data from the Maslach Burnout Inventory General Survey, demographic information related to healthcare personnel and employee job satisfaction metrics from the hospitals under study. Subsequently, four predictive models-logistic regression, K-nearest neighbour, decision tree and random forest (RF)-were employed to predict the degree of healthcare burnout.
S Afr Fam Pract (2004)
August 2025
Department of Health Studies, College of Human Sciences, University of South Africa, Pretoria.
Background: Retention in care is vital for the successful management of human immunodeficiency virus (HIV). About 20% of clients interrupt their HIV therapy within 6 months of starting it. Lay healthcare workers complement the healthcare professionals to provide services across the HIV care continuum.
View Article and Find Full Text PDFBMJ Open
September 2025
Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Objectives: There is a wealth of reviews investigating the relations between healthcare worker (HCW) variables and quality of care (QoC) outcomes. Individually, these reviews predominantly focus on one aspect relevant to HCWs' functioning at work, unintentionally contributing to a scattered body of evidence. This umbrella review uses the concept of sustainable employability (SE)-a multidimensional construct that captures an individual's long-term ability to function adequately at work and in the labour market-to integrate existing reviews on the topic, and to examine if and how HCWs' SE is related to QoC.
View Article and Find Full Text PDFAppl Nurs Res
October 2025
Ordine delle Professioni Infermieristiche di Bergamo, via Pietro Rovelli 45, Bergamo 24125, Italy.
Introduction: A growing number of nurses are expressing the intention to leave their current jobs or the nursing profession entirely. This trend poses a significant threat to healthcare systems, contributing to increased adverse events, reduced quality of care, poorer patient outcomes, and elevated healthcare costs due to staff turnover and organizational instability.
Objective: This study aimed to examine job satisfaction and the intention to leave both current employment and the nursing profession among registered nurses affiliated with the Provincial Order of Nurses (Ordine delle Professioni Infermieristiche, OPI) in Bergamo, Northern Italy.