scholarly journals Exploration of the risk factors contained within the UK’s existing domestic abuse risk assessment tool (DASH): do these risk factors have individual predictive validity regarding recidivism?

2017 ◽  
Vol 9 (1) ◽  
pp. 58-68 ◽  
Author(s):  
Louise Almond ◽  
Michelle McManus ◽  
David Brian ◽  
Daniel Peter Merrington
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Assessment Tool ◽  
Domestic Abuse ◽  
Criminal History ◽  
Risk Assessment Tool ◽  
Individual Risk ◽  
Content Type ◽  
The Individual ◽  
Individual Risk Factors

Purpose The purpose of this paper is to explore risk factors contained in the existing UK domestic abuse (DA) risk assessment tool: domestic abuse, stalking and harassment and honour-based violence (DASH) for individual predictive validity of DA recidivism using data from Devon and Cornwall Constabulary. Design/methodology/approach In total, 1,441 DA perpetrators were monitored over a 12-month period, and 270 (18.7 per cent) went on to commit a further DA offence. The individual risk factors which were associated and predictive of increased risk of recidivism were identified. Findings Only four of the individual risk factors were significantly associated with an increased risk of DA recidivism: “criminal history”, “problems with alcohol”, “separation” and “frightened”. Therefore, 21 of the risk factor items analysed could not discriminate between non-recidivist and recidivist perpetrators. Only two risk factors were able to significantly predict the recidivist group when compared to the non-recidivist group. These were identified as “criminal history” and “separated”. Of those who did commit a further DA offence in the following 12 months, 133 were violent and 137 were non-violent. The risk factors associated with these types of recidivism are identified. Practical implications The implications for UK police practice and the DASH risk assessment tool are discussed. By identifying key individual factors that can prioritise those individuals likely to recidivate and the severity of that recidivism, this could assist police decision making regarding the response and further prevention of DA incidents. The validation of association between individual factors and DA recidivism should improve the accuracy of risk levels. Originality/value This is the first large-scale validation of the individual risk factors contained within the UK’s DA risk assessment tool. It should be noted that the validity of the DASH tool itself was not examined within the current study.

scholarly journals Choice of a suitable diabetes risk assessment tool in Nepal – can we learn from Canada?

2016 ◽  
Vol 6 (2) ◽  
pp. 548-550
Author(s):  
Gina Agarwal ◽  
Brijesh Sathian ◽  
Sutapa Agrawal
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Health Outcomes ◽  
Assessment Tool ◽  
National Policy ◽  
Diabetes Risk ◽  
Risk Assessment Tool ◽  
Educational Tool ◽  
Diabetes Risk Factors ◽  
The Masses

If the population can be made more aware about diabetes by the use of a risk assessment tool as an educational tool as well, it could help to curb the diabetes epidemic in Nepal. Education of the masses about diabetes risk factors, prevention, and complications is urgently needed, using clear and simple messages. National policy efforts can be strengthened and health  outcomes improved when awareness is increased. Perhaps learning from Canada is a start, and Nepal will be able to make progress with something simple like ‘NEPAL-RISK’?

scholarly journals Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool

2020 ◽  
Author(s):  
James B O'Keefe ◽  
Elizabeth J Tong ◽  
Thomas H Taylor ◽  
Ghazala D Datoo O'Keefe ◽  
David C Tong
Keyword(s):  
Risk Assessment ◽  
Assessment Tool ◽  
Cox Regression ◽  
Risk Assessment Tool ◽  
Individual Risk ◽  
Tier 2 ◽  
Tier 1 ◽  
Risk Patients ◽  
Tier 3

Objective: To determine whether a risk prediction tool developed and implemented in March 2020 accurately predicts subsequent hospitalizations. Design: Retrospective cohort study, enrollment from March 24 to May 26, 2020 with follow-up calls until hospitalization or clinical improvement (final calls until June 19, 2020) Setting: Single center telemedicine program managing outpatients from a large medical system in Atlanta, Georgia Participants: 496 patients with laboratory-confirmed COVID-19 in isolation at home. Exclusion criteria included: (1) hospitalization prior to telemedicine program enrollment, (2) immediate discharge with no follow-up calls due to resolution. Exposure: Acute COVID-19 illness Main Outcome and Measures: Hospitalization was the outcome. Days to hospitalization was the metric. Survival analysis using Cox regression was used to determine factors associated with hospitalization. Results: The risk-assessment rubric assigned 496 outpatients to risk tiers as follows: Tier 1, 237 (47.8%); Tier 2, 185 (37.3%); Tier 3, 74 (14.9%). Subsequent hospitalizations numbered 3 (1%), 15 (7%), and 17 (23%) and for Tiers 1-3, respectively. From a Cox regression model with age ≥ 60, gender, and self-reported obesity as covariates, the adjusted hazard ratios using Tier 1 as reference were: Tier 2 HR=3.74 (95% CI, 1.06-13.27; P=0.041); Tier 3 HR=10.87 (95% CI, 3.09-38.27; P<0.001). Tier was the strongest predictor of time to hospitalization. Conclusions and Relevance: A telemedicine risk assessment tool prospectively applied to an outpatient population with COVID-19 identified both low-risk and high-risk patients with better performance than individual risk factors alone. This approach may be appropriate for optimum allocation of resources.

scholarly journals Comparison of Fall Risk Assessment Tools for Older Indonesian Adults in the Elderly Home and the Community

2019 ◽  
Vol 8 (3) ◽  
pp. 241
Author(s):  
Indri Hapsari Susilowati ◽  
Susiana Nugraha ◽  
Sabarinah Sabarinah ◽  
Bonardo Prayogo Hasiholan ◽  
Supa Pengpid ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Fall Risk ◽  
Assessment Tool ◽  
The Elderly ◽  
Risk Assessment Tool ◽  
Fall Risk Assessment ◽  
Elderly Home ◽  
Balance Confidence ◽  
Confidence Scale

Introduction: One of the causes of disability among elderly is falling. The ability to predict the risk of falls among this group is important so that the appropriate treatment can be provided to reduce the risk. The objective of this study was to compare the Stopping Elderly Accidents, Deaths, & Injuries (STEADI) Initiative from the Centers for Disease Control and Prevention (CDC) and The Johns Hopkins Fall Risk Assessment Tool (JHFRAT) from the Johns Hopkins University. Methods: This study used the STEADI tool, JHFRAT, Activities-Specific Balance Confidence Scale (ABC), and The Geriatric Depression Scale (GDS). The study areas were in community and elderly home in both public and private sectors and the samples were 427 after cleaning. Results: The results for the STEADI and JHFRAT tools were similar where the respondents at highest risk of falling among women (STEADI: 49%; JHFRAT: 3.4%), in Bandung area (63.5%; 5.4%), in private homes (63.3%; 4.4%), non-schools (54.6%; 6.2%), aged 80 or older (64.8%; 6.7%) and not working (48.9%;3.3%). The regression analysis indicated that there was a significant relationship between the risk factors for falls in the elderly determined by the JHFRAT and STEADI tools: namely, region, type of home, age, disease history, total GDS and ABC averages. Conclusion: Despite the similarity in the risk factors obtained through these assessments, there was a significant difference between the results for the STEADI tool and the JHFRAT. The test strength was 43%. However, STEADI is more sensitive to detect fall risk smong elderly than JHFRATKeywords: Activities-Specific Balance Confidence scale, elderly, fall risk,The Johns Hopkins Fall Risk Assessment Tool, the Stopping Elderly Accidents, Deaths, & Injuries

scholarly journals Risk in the scope of research and innovative technological projects

2020 ◽  
pp. 58-67
Author(s):  
Rafał Hubicki ◽  
Maria Richert ◽  
Piotr Łebkowski ◽  
Joanna Kulczycka ◽  
Asja Mrotzek-Bloess
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Assessment Methods ◽  
Individual Risk ◽  
Fruitful Cooperation ◽  
Specific Factors ◽  
The Subject ◽  
The Individual ◽  
Risk Categories ◽  
Management Of Risk

Assessment and management of risk constitute the subject of many researches. Nevertheless, many more specific factors are applicable during the implementation of innovative technological projects. On the article identified risk factors, which have been supplemented, systematized and assigned to the individual risk categories. The risk assessment methods for R&D projects have been analysed, as well as the risk sheets have been developed for the R&D project through the use of dotProject application. Also shown that networking and clustering is a change for fruitful cooperation within difference EU projects, which create trust between business and sciences and reduce the risk.

Enterprise risk management and bow ties: going beyond patient safety

2019 ◽  
Vol 26 (3) ◽  
pp. 770-785
Author(s):  
Hossam Elamir
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Patient Safety ◽  
Assessment Tool ◽  
Enterprise Risk Management ◽  
Risk Assessment Tool ◽  
Management Tool ◽  
Content Type ◽  
Enterprise Risk ◽  
Bow Tie

Purpose The growing importance of risk management programmes and practices in different industries has given rise to a new risk management approach, i.e. enterprise risk management. The purpose of this paper is to better understand the necessity, benefit, approaches and methodologies of managing risks in healthcare. It compares and contrasts between the traditional and enterprise risk management approaches within the healthcare context. In addition, it introduces bow tie methodology, a prospective risk assessment tool proposed by the American Society for Healthcare Risk Management as a visual risk management tool used in enterprise risk management. Design/methodology/approach This is a critical review of published literature on the topics of governance, patient safety, risk management, enterprise risk management and bow tie, which aims to draw a link between them and find the benefits behind their adoption. Findings Enterprise risk management is a generic holistic approach that extends the benefits of risk management programme beyond the traditional insurable hazards and/or losses. In addition, the bow tie methodology is a barrier-based risk analysis and management tool used in enterprise risk management for critical events related to the relevant day-to-day operations. It is a visual risk assessment tool which is used in many higher reliability industries. Nevertheless, enterprise risk management and bow ties are reported with limited use in healthcare. Originality/value The paper suggests the applicability and usefulness of enterprise risk management to healthcare, and proposes the bow tie methodology as a proactive barrier-based risk management tool valid for enterprise risk management implementation in healthcare.

scholarly journals Impact of multiple factors on the incidence of developmental dysplasia of the hip: risk assessment tool

2022 ◽  
Author(s):  
Łukasz Pulik ◽  
Katarzyna Poszka ◽  
Krzysztof Romaniuk ◽  
Aleksandra Sibilska ◽  
Andrzej Jedynak ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Assessment Tool ◽  
Developmental Dysplasia ◽  
Risk Assessment Tool ◽  
Risk Calculator ◽  
Dysplasia Of The Hip

Abstract Introduction: Developmental dysplasia of the hip (DDH) is one of the most common musculoskeletal conditions in children. Not treated DDH leads to disability, gait abnormalities, limb shortening and chronic pain. Our study aims to determine the impact of multiple risk factors on the occurrence of DDH and develop an interactive risk assessment tool.Materials and Methods: We conducted a retrospective cohort study in the Outpatient Clinic for Children of University Hospital. The Graf classification system was used for ultrasonographic universal screening. In total, 3102 infants met the eligibility criteria (n =6204 hip joints). Results: The incidence of DDH was 4.45%. In multivariate analysis, risk factors for DDH were weight (OR = 2.17 (1.41-3.32)), week of delivery (OR = 1.18 (1.00-1.37)), gender (OR = 8.16 (4.86-13.71)), breech delivery presentation (OR = 5.92 (3.37-10.40)), symptoms of DDH (25.28 (8.77-72.83)) and positive family history in siblings (5.74 (2.68-12.31)). Multivariate logistic regression predictive model was used to construct the interactive risk calculator.Conclusion: We confirmed well-known DDH risk factors in the studied population. Our results support the recent hypothesis that preterm infants (37 < week) have lower rate of DDH. The DDH risk calculator was built but needs external validation in prospective study before being used in a clinical setting.Level of Evidence: Retrospective cohort study: Level III

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