Perspectives of Australian GPs on tailoring fall risk management: a qualitative study

2021 ◽  
Author(s):  
Lynette Mackenzie ◽  
Jeannine Liddle ◽  
Lindy M. Clemson ◽  
Amy C. W. Tan ◽  
Meryl Lovarini ◽  
...  
Keyword(s):  
Risk Management ◽  
Qualitative Study ◽  
Fall Risk

scholarly journals A Qualitative Study on the US Forest Service’s Risk Management Assistance Efforts to Improve Wildfire Decision-Making

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 344
Author(s):  
Courtney A. Schultz ◽  
Lauren F. Miller ◽  
Sarah Michelle Greiner ◽  
Chad Kooistra
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Decision Support ◽  
Qualitative Study ◽  
Fire Management ◽  
Perceived Value ◽  
Forest Service ◽  
The Us ◽  
Decision Biases ◽  
Line Officers

To support improved wildfire incident decision-making, in 2017 the US Forest Service (Forest Service) implemented risk-informed tools and processes, together known as Risk Management Assistance (RMA). The Forest Service is developing tools such as RMA to improve wildfire decision-making and implements these tools in complex organizational environments. We assessed the perceived value of RMA and factors that affected its use to inform the literature on decision support for fire management. We sought to answer two questions: (1) What was the perceived value of RMA for line officers who received it?; and (2) What factors affected how RMA was received and used during wildland fire events? We conducted a qualitative study involving semi-structured interviews with decision-makers to understand the contextualized and interrelated factors that affect wildfire decision-making and the uptake of a decision-support intervention such as RMA. We used a thematic coding process to analyze our data according to our questions. RMA increased line officers’ ability to communicate the rationale underlying their decisions more clearly and transparently to their colleagues and partners. Our interviewees generally said that RMA data analytics were valuable but did not lead to changes in their decisions. Line officer personality, pre-season exposure to RMA, local political dynamics and conditions, and decision biases affected the use of RMA. Our findings reveal the complexities of embracing risk management, not only in the context of US federal fire management, but also in other similar emergency management contexts. Attention will need to be paid to existing decision biases, integration of risk management approaches in the interagency context, and the importance of knowledge brokers to connect across internal organizational groups. Our findings contribute to the literature on managing change in public organizations, specifically in emergency decision-making contexts such as fire management.

scholarly journals EXPLOITING POSITIVE RISK THROUGH ORGANIZATIONAL CULTURE AND PROACTIVE IDENTIFICATION

2018 ◽  
Author(s):  
Valerie Denney
Keyword(s):  
Risk Management ◽  
Qualitative Study ◽  
Project Success ◽  
Business Case ◽  
Management Process ◽  
Negative Events ◽  
Specific Training ◽  
Positive Side ◽  
Portfolio Managers ◽  
Future Project

<p>Risk management is commonly accepted as a foundational management process to increase the likelihood of project success. Risks can be categorized as either threats (negative events or conditions) or opportunities (positive). This qualitative study explored the positive side of risk management to examine if opportunity management is still underutilized by practitioners, as has been reported in previous studies and standards. Recommendations from this study for improved use of opportunity management include development of: (a) specific training on opportunity management (b) catalog of opportunity examples, and (c) template for the business case for opportunity management. This research provides greater insight to improve the efficacy for current and future project, program, and portfolio managers.</p>

Risk Management in the Rehabilitation of Offenders with Learning Disabilities: A Qualitative Study

2002 ◽  
Vol 4 (2) ◽  
pp. 33-45
Author(s):  
Bob Heyman ◽  
Carol Buswell Griffiths ◽  
John L Taylor ◽  
Gregory O'Brien
Keyword(s):  
Risk Management ◽  
Learning Disabilities ◽  
Qualitative Study

scholarly journals P131: Emergency department falls risk management screening tool comparison

CJEM ◽  
2016 ◽  
Vol 18 (S1) ◽  
pp. S121-S122
Author(s):  
R. Tomlinson ◽  
T. Yokota ◽  
P. Jaggi ◽  
C. Kilburn ◽  
D. Bakken ◽  
...  
Keyword(s):  
At Risk ◽  
Emergency Department ◽  
Risk Management ◽  
Fall Risk ◽  
Screening Tool ◽  
Assessment Tool ◽  
Tertiary Care ◽  
Screening Tools ◽  
Procedural Sedation ◽  
Patients At Risk

Introduction: Emergency Department (ED) fall risk screening has been newly implemented in Alberta based on Accreditation Canada requirements. Two existing inpatient tools failed to include certain ED risk conditions. One tool graded unconsciousness as no risk for falling, and neither considered intoxication or sedation. This led to the development of a new fall risk management screening tool, the FRM (Tool1). This study compared Tool1 with inpatient utilized Schmid Fall Risk Assessment Tool (Tool2) and the validated Hendrich II Fall Risk Model (Tool3). Methods: Patients (≥17 years old) in a tertiary care adult ED with any of the following; history of falling in the last 12 months, elderly/frail, incontinence, impaired gait, mobility assist device, confusion/disorientation, procedural sedation, intoxication/sedated, or unconscious were included. Forms were randomized to score patients using different paired screening tools: Tool1 paired with either Tool2 or Tool3. Percent agreement (PA) between the tools based on identification of a patient at either risk/no risk for falling; higher PA indicating more tool homogeneity. Results: A total of 928 screening forms were completed within our 8-week study period; 452 and 443 comparing Tool1 to Tool2 and Tool1 to Tool3, respectively. Thirty-two forms included only Tool1 scores, excluding them from comparative analysis. The average patient age (n=895) was 64.8±21.4 years. Tool1 identified 66.4% of patients at risk, whereas Tool2 and Tool3 identified only 19.2% and 31.4%, respectively. Tool1 and 2 had a PA of 50.2%, whereas Tool1 and Tool3 had a PA of 65.9%. Conclusion: The FRM tool had higher agreement with the validated assessment tool, identifying patients at risk for falling but better identified patients presenting with intoxication, need for procedural sedation and unconsciousness. The other tools generally miss these common ED conditions, putting these patients at risk. Validation and reliability assessments of the FRM tool are warranted.

Pilot study of a fall risk management program for middle aged and older adults with MS

2009 ◽  
Vol 25 (2) ◽  
pp. 107-115 ◽  
Author(s):  
Marcia Finlayson ◽  
Elizabeth W. Peterson ◽  
Chi Cho
Keyword(s):  
Older Adults ◽  
Risk Management ◽  
Pilot Study ◽  
Fall Risk ◽  
Management Program ◽  
Middle Aged ◽  
Risk Management Program

scholarly journals How Can Home Care Patients and Their Caregivers Better Manage Fall Risks by Leveraging Information Technology?

2016 ◽  
Vol 3 (4) ◽  
pp. 137-144 ◽  
Author(s):  
Dari Alhuwail ◽  
Güneş Koru ◽  
Eun-Shim Nahm
Keyword(s):  
Information Technology ◽  
Risk Management ◽  
Home Care ◽  
Fall Risk ◽  
Single Case ◽  
Health Agency ◽  
The United States ◽  
Health It ◽  
Physician Practices ◽  
Fall Risks

Objectives: From the perspectives of home care patients and caregivers, this study aimed to (a) identify the challenges for better fall-risk management during home care episodes and (b) explore the opportunities for them to leverage health information technology (IT) solutions to improve fall-risk management during home care episodes. Methods: Twelve in-depth semistructured interviews with the patients and caregivers were conducted within a descriptive single case study design in 1 home health agency (HHA) in the mid-Atlantic region of the United States. Results: Patients and caregivers faced challenges to manage fall risks such as unmanaged expectations, deteriorating cognitive abilities, and poor care coordination between the HHA and physician practices. Opportunities to leverage health IT solutions included patient portals, telehealth, and medication reminder apps on smartphones. Conclusion: Effectively leveraging health IT could further empower patients and caregivers to reduce fall risks by acquiring the necessary information and following clinical advice and recommendations. The HHAs could improve the quality of care by adopting IT solutions that show more promise of improving the experiences of patients and caregivers in fall-risk management.

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