Purpose: The purpose of this paper is to review existing research on whistleblowing in healthcare in order to develop an evidence base for policy and research.
Design/methodology/approach: A narrative review, based on systematic literature protocols developed within the management field.
Findings: The authors identify valuable insights on the factors that influence healthcare whistleblowing, and how organizations respond, but also substantial gaps in the coverage of the literature, which is overly focused on nursing, has been largely carried out in the UK and Australia, and concentrates on the earlier stages of the whistleblowing process.
Research Limitations/implications: The review identifies gaps in the literature on whistleblowing in healthcare, but also draws attention to an unhelpful lack of connection with the much larger mainstream literature on whistleblowing.
Practical Implications: Despite the limitations to the existing literature important implications for practice can be identified, including enhancing employees' sense of security and providing ethics training.
Originality/value: This paper provides a platform for future research on whistleblowing in healthcare, at a time when policymakers are increasingly aware of its role in ensuring patient safety and care quality.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1108/JHOM-12-2018-0363 | DOI Listing |
Sci Rep
December 2024
School of Management, Hefei University of Technology, Hefei, People's Republic of China.
Medical devices (MDs) play a critical role in healthcare delivery while also bringing potential medical risks and unintended harms to patients. Although government regulation is well recognized as a critical and essential function for ensuring the safety of MDs in many countries, the supplementary role that hospitals play is often neglected. This paper constructs a tripartite evolutionary game model involving the government, hospitals, and MDs enterprises to explore their strategic behaviors of MDs regulation in healthcare delivery.
View Article and Find Full Text PDFJ Indian Assoc Pediatr Surg
September 2024
Senior Paediatric Surgeon, Department of Paediatric Surgery, SRCC NH Children's Hospital, Mumbai, Maharashtra, India.
Public Health Genomics
December 2024
Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.
Introduction: Hereditary cancer syndromes (HCS), such as hereditary breast and ovarian cancer syndrome (HBOC) and Lynch syndrome (LS), represent approximately 10% of all cancers. Along with medical burdens associated with the genetic risk of developing cancer, many individuals face stigma and discrimination. Genetic discrimination refers to negative treatment, unfair profiling, or harm based on genetic characteristics, manifesting as "felt" stigma (ostracization without discriminatory acts) or "enacted" stigma (experiencing discriminatory acts).
View Article and Find Full Text PDFJ Adv Nurs
September 2024
College of Nursing, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Introduction: Fostering nurses' intentions to blow the whistle internally is a salient issue in healthcare. However, there are debates on the antecedents of these intentions, and the explanation of how these antecedents influence such intentions is missing in the nursing literature.
Aim: Based on the social exchange theory and the social identity theory, this study aimed to unveil how decent work influences nurses' internal whistleblowing intentions, specifically through the parallel mediating roles of felt obligation and organisational identification.
J Psychosoc Nurs Ment Health Serv
October 2024
Purpose: To explore the perspectives and experiences of mental health care workers (MHCWs) when speaking up about patient safety concerns.
Method: A qualitative study was performed at Farshchian (Sina) Hospital in Iran, involving the purposive sampling of MHCWs from three inpatient psychiatric wards. From July to October 2022, semi-structured interviews were conducted with 23 participants.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!