11 research outputs found
What factors do allied health take into account when making resource allocation decisions?
Background: Allied health comprises multiple professional groups including dietetics, medical radiation practitioners, occupational therapists, optometrists and psychologists. Different to medical and nursing, Allied health are often organized in discipline specific departments and allocate budgets within these to provide services to a range of clinical areas. Little is known of how managers of allied health go about allocating these resources, the factors they consider when making these decisions, and the sources of information they rely upon. The purpose of this study was to identify the key factors that allied health consider when making resource allocation decisions and the sources of information they are based upon. Methods: Four forums were conducted each consisting of case studies, a large group discussion and two hypothetical scenarios to elicit data. A thematic content analysis commenced during post-forum discussions of key factors by forum facilitators. These factors were then presented to an expert working party for further discussion and refinement. Transcripts were generated of all data recordings and a detailed thematic analysis was undertaken by one author to ensure coded data matched the initial thematic analysis. Results: Twelve factors affecting the decision-making of allied health managers and clinicians were identified. One of these factors was disendorsed by the expert working party. The 11 remaining factors can be considered to be key decision-making principles that should be consistently applied to resource allocation. These principles were clustered into three overarching themes of readiness, impact and appropriateness. Conclusion: Understanding these principles now means further research can be completed to more effectively integrate research evidence into health policy and service delivery, create partnerships among policy-makers, managers, service providers and researchers, and to provide support to answer difficult questions that policy-makers, managers and service providers face. Ā© 2018 The Author(s). **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate āJennifer Martinā is provided in this record*
Flexible, Capable, Adaptable: A Dynamic Allied Health Workforce
Objective: The Allied Health Executive at a major Metropolitan Health Service was experiencing an increasing number of flexible work requests and was keen to ensure that local and legislative requirements were met, our highly skilled and specialist staff were supported to remain in the workforce as their life outside work changed and the operational demands of a bed-based service delivery model were not negatively impacted.
Design: A root cause analysis was completed identifying three main contributing factors for the current, adhoc approach to flexible work requests. Current and past flexible work participants were surveyed, along with their managers and the Nurse Unit Managers of the clinical work areas. A literature review and environmental scan regarding frameworks for decision making for and supporting flexible work requests was undertaken.
Findings: There was a lack of consistent information as to how to establish and manage a flexible work request. There had been an historical view that flexible work requests were difficult to operationalise and there were missed experiences with flexible work arrangements for the people involved, their managers and their colleagues.
Outcome measures: The combined data was then utilised to develop a framework to support decision-making around whether a role could operate as a flexible work arrangement. A framework on how to best support the staff considering and entering into these arrangements to ensure all the benefits of a flexible work arrangement are realised and many of the challenges minimised was also developed.
Conclusion: Flexible work arrangements should be considered in appropriate circumstances, and will have the best opportunity for success when supported by a consistent, evidenced-based framework.
Abbreviations: EFT ā Equivalent Full Time; RCA ā Root Cause Analysis
What stops hospital clinical staff from following protocols? An analysis of the incidence and factors behind the failure of bedside clinical staff to activate the rapid response system in a multi-campus Australian metropolitan healthcare service
OBJECTIVE: To explore the causes of failure to activate the rapid response system (RRS). The organisation has a recognised incidence of staff failing to act when confronted with a deteriorating patient and leading to adverse outcomes. DESIGN: A multi-method study using the following: a point prevalence survey to determine the incidence of abnormal simple bedside observations and activation of the rapid response team by clinical staff; a prospective audit of all patients experiencing a cardiac arrest, unplanned intensive care unit admission or death over an 8-week period; structured interviews of staff to explore cognitive and sociocultural barriers to activating the RRS. SETTING: Southern Health is a comprehensive healthcare network with 570 adult in-patient beds across four metropolitan teaching hospitals in the south-eastern sector of Melbourne. MEASUREMENTS: Frequency of physiological instability and outcomes within the in-patient hospital population. Qualitative data from staff interviews were thematically coded. RESULTS: The incidence of physiological instability in the acute adult population was 4.04%. Nearly half of these patients (42%) did not receive an appropriate clinical response from the staff, despite most (69.2%) recognising their patient met physiological criteria for activating the RRS, and being 'quite', or 'very' concerned about their patient (75.8%). Structured interviews with 91 staff members identified predominantly sociocultural reasons for failure to activate the RRS. CONCLUSIONS: Despite an organisational commitment to the RRS, clinical staff act on local cultural rules within the clinical environment that are usually not explicit. Better understanding of these informal rules may lead to more appropriate activation of the RRS
What Factors Do Allied Health Take Into Account When Making Resource Allocation Decisions?
Abstract
Background: Allied health comprises multiple professional groups including dietetics, medical radiation practitioners,
occupational therapists, optometrists and psychologists. Different to medical and nursing, Allied health are often
organized in discipline specific departments and allocate budgets within these to provide services to a range of clinical
areas. Little is known of how managers of allied health go about allocating these resources, the factors they consider
when making these decisions, and the sources of information they rely upon. The purpose of this study was to identify
the key factors that allied health consider when making resource allocation decisions and the sources of information
they are based upon.
Methods: Four forums were conducted each consisting of case studies, a large group discussion and two hypothetical
scenarios to elicit data. A thematic content analysis commenced during post-forum discussions of key factors by
forum facilitators. These factors were then presented to an expert working party for further discussion and refinement.
Transcripts were generated of all data recordings and a detailed thematic analysis was undertaken by one author to
ensure coded data matched the initial thematic analysis.
Results: Twelve factors affecting the decision-making of allied health managers and clinicians were identified. One
of these factors was disendorsed by the expert working party. The 11 remaining factors can be considered to be key
decision-making principles that should be consistently applied to resource allocation. These principles were clustered
into three overarching themes of readiness, impact and appropriateness.
Conclusion: Understanding these principles now means further research can be completed to more effectively integrate
research evidence into health policy and service delivery, create partnerships among policy-makers, managers, service
providers and researchers, and to provide support to answer difficult questions that policy-makers, managers and
service providers face
Why don't hospital staff activate the rapid response system (RRS)? How frequently is it needed and can the process be improved?
Abstract
Background
The rapid response system (RRS) is a process of accessing help for health professionals when a patient under their care becomes severely ill. Recent studies and meta-analyses show a reduction in cardiac arrests by a one-third in hospitals that have introduced a rapid response team, although the effect on overall hospital mortality is less clear. It has been suggested that the difficulty in establishing the benefit of the RRS has been due to implementation difficulties and a reluctance of clinical staff to call for additional help. This assertion is supported by the observation that patients continue to have poor outcomes in our institution despite an established RRS being available. In many of these cases, the patient is often unstable for many hours or days without help being sought. These poor outcomes are often discovered in an ad hoc fashion, and the real numbers of patients who may benefit from the RRS is currently unknown. This study has been designed to answer three key questions to improve the RRS: estimate the scope of the problem in terms of numbers of patients requiring activation of the RRS; determine cognitive and socio-cultural barriers to calling the Rapid Response Team; and design and implement solutions to address the effectiveness of the RRS.
Methods
The extent of the problem will be addressed by establishing the incidence of patients who meet abnormal physiological criteria, as determined from a point prevalence investigation conducted across four hospitals. Follow-up review will determine if these patients subsequently require intensive care unit or critical care intervention. This study will be grounded in both cognitive and socio-cultural theoretical frameworks. The cognitive model of situation awareness will be used to determine psychological barriers to RRS activation, and socio-cultural models of interprofessional practice will be triangulated to inform further investigation. A multi-modal approach will be taken using reviews of clinical notes, structured interviews, and focus groups. Interventions will be designed using a human factors analysis approach. Ongoing surveillance of adverse outcomes and surveys of the safety climate in the clinical areas piloting the interventions will occur before and after implementation
How do allied health professionals define and apply equity when making resource allocation decisions?
An ethnographic study was conducted in 2 stages to understand how allied health professionals define and apply equity when making resource allocation decisions. Participants were allied health managers and clinicians from Victoria, Australia. Stage 1 included 4 semi-structured forums that incorporated real-life case studies, group discussions, and hypothetical scenarios. The projectās steering committee began a thematic analysis during post-forum discussions. Stage 2 included a key stakeholder working party that further discussed the concept of equity. The forum recordings were transcribed verbatim, and a detailed thematic analysis ensured the initial thematic analysis was complete. Several domains of equity were discussed. Participants would readily identify that equity was a consideration when making resource decisions but were generally silent for a prolonged period when prompted to identify what they meant when using this term. The findings indicate that asking allied health professionals to directly state how they define and apply equity to their decision-making could be too difficult a task, as this did not elicit rich and meaningful discussions. Future research should examine individual domains of equity when applied to resource allocation decisions. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate āJennifer Martinā is provided in this record*
What factors do allied health take into account when making resource allocation decisions?
Background
Allied health comprises multiple professional groups including dietetics, medical radiation practitioners, occupational therapists, optometrists and psychologists. Different to medical and nursing, Allied health are often organized in discipline specific departments and allocate budgets within these to provide services to a range of clinical areas. Little is known of how managers of allied health go about allocating these resources, the factors they consider when making these decisions, and the sources of information they rely upon. The purpose of this study was to identify the key factors that allied health consider when making resource allocation decisions and the sources of information they are based upon.
Methods
Four forums were conducted each consisting of case studies, a large group discussion and two hypothetical scenarios to elicit data. A thematic content analysis commenced during post-forum discussions of key factors by forum facilitators. These factors were then presented to an expert working party for further discussion and refinement. Transcripts were generated of all data recordings and a detailed thematic analysis was undertaken by one author to ensure coded data matched the initial thematic analysis.
Results
Twelve factors affecting the decision-making of allied health managers and clinicians were identified. One of these factors was disendorsed by the expert working party. The 11 remaining factors can be considered to be key decision-making principles that should be consistently applied to resource allocation. These principles were clustered into three overarching themes of readiness, impact and appropriateness.
Conclusion
Understanding these principles now means further research can be completed to more effectively integrate research evidence into health policy and service delivery, create partnerships among policy-makers, managers, service providers and researchers, and to provide support to answer difficult questions that policy-makers, managers and service providers face