Liam Chadwick

Human reliability assessment of a critical nursing task in a radiotherapy treatment process.

Radiotherapy treatment, like many other fields of medicine, has changed significantly in the last decade with the introduction of more advanced technology and automation. This change has often resulted in aspects of the system which cannot be automated due to technological feasibility and local implementation constraints. This has resulted in a requirement for significant human interaction. This combination of human operations and automation has introduced new error pathways. Traditionally, recommendations to improve the safety of such systems are typically made after the analysis of an adverse event or a significant series of incidents. In contrast, adopting a proactive approach to safety would enable prior identification of potential errors and the specification of appropriate defences against them, thus avoiding costs associated with adverse outcomes. In this paper, a modified version of the proactive Human Reliability Assessment (HRA) method Human Error Assessment and Reduction Technique (HEART) was used to analyse a critical nursing task within a modern radiotherapy system. The modified technique used a participative team approach to complete the assessment in contrast to the normal approach, which uses a single expert assessor. The HEART technique quantifies the likelihood of unreliability of a task and ranks the conditions which most affect the successful completion of that task. HEART has been proposed as a potentially useful HRA tool for applications in healthcare, but such applications have not previously been formally documented. As a result of the modified HEART analysis reported in this paper, remedial measures were identified which were both cost effective and easy to implement.

Use of Quality Indicators in Nursing Homes in Victoria, Australia A Cross-Sectional Descriptive Survey

Objective: This study aimed to characterize the use of mandated quality indicators (QIs) in public sector nursing homes by describing their adherence to established principles of measurement and whether nursing homes respond to QI data to improve care. Method: Data were collected from a descriptive cross-sectional quantitative study using a confidential survey questionnaire distributed electronically to senior staff in all public sector nursing homes in Victoria, Australia. Results: Staff from 113 of 196 facilities completed the survey (58%). Adherence to principles of measurement was suboptimal, with variation in applying QI definitions and infrequent random audits of data (n = 54, 48%). QI data triggered reviews of individual residents (62%-79%), staff practice (44%-65%), and systems of care (45%-55%). Most facilities (58%-75%) reported that beneficial changes in care occurred as a result of using QIs. Discussion: QI performance data are positively received and used to improve care. Standardization of data collection, analysis, and reporting should strengthen the program’s utility.

Learning from Risk Assessment in Radiotherapy

The lessons learned from completing a risk assessment of a radiotherapy information system in a public hospital are presented. A systems engineering perspective with respect to the risk assessment was adopted. Standard engineering tools modified for application in healthcare environments were applied, e.g. HFMEATM. It was found that there was a complete absence of the application of systems engineering at the development stage of the radiotherapy system, however aspects of quality systems, i.e. process improvement, were present at the operating stage. Team work played a significant role in the successful operation of the system. However, in contrast to most engineering systems, team composition was highly heterogeneous as roles were clearly defined by professional qualification. There were strong boundaries between the radiotherapy team and other teams in the hospital. This was reflected by their lack of concern regarding the availability of patient information beyond their own department.

Senior staff perspectives of a quality indicator program in public sector residential aged care services: a qualitative cross-sectional study in Victoria, Australia

OBJECTIVE The aims of the present study were to describe the views of senior clinical and executive staff employed in public sector residential aged care services (RACS) about the benefits and limitations of using quality indicators (QIs) for improving care, and to identify any barriers or enablers to implementing the QI program. METHODS A cross-sectional qualitative study using semistructured interviews and direct observation of key informants involved in the QI program was performed across 20 public sector RACS in Victoria, Australia. Participants included senior clinical, executive and front-line staff at the RACS. The main outcome measures were perceived benefits and the enablers or barriers to the implementation of a QI program. RESULTS Most senior clinical and executive staff respondents reported substantive benefits to using the QIs and the QI program. A limited number of staff believed that the QI program failed to improve the quality of care and that the resource requirements outweighed the benefits of the program, resulting in disaffected staff. CONCLUSIONS The QIs and QI program acted as a foundation for improving standards of care when used at the front line or point of care. Senior executive engagement in the QI program was vital to successful implementation.

An Evaluation of a Low Dose Rate (LDR) Brachytherapy Procedure using a "Systems Engineering & Error Analysis Methodology for Health Care" (SEABH)

Health Care Failure Modes and Effects Analysis (HFMEA®) is an established tool for risk assessment in health care. A number of deficiencies have been identified in the method. A new method called Systems and Error Analysis Bundle for Health Care (SEABH) was developed to address these deficiencies. SEABH has been applied to a number of medical processes as part of its validation and testing. One of these, Low Dose Rate (LDR) prostate Brachytherapy is reported in this paper. The case study supported the validity of SEABH with respect to its capacity to address the weaknesses of (HFMEA®).