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BMC Research Notes May 2019The present database contains information on patient falls in the hospital setting. Data were collected in January 2018 with of describing in-hospital falls reported...
OBJECTIVES
The present database contains information on patient falls in the hospital setting. Data were collected in January 2018 with of describing in-hospital falls reported from 1st January 2012 to 31 December 2017 in a large hospital in the South of Brazil. Learning about the characteristics of these events and establishing a profile may contribute to the design of adequate prevention and improvement strategies that are effective to reduce the risk of falls.
DATA DESCRIPTION
This data set encompasses 1.071 in-patients falls characterized by the follow variables: year, date, patient birth, weekday, shift, department/location of the incident, location, severity, presence of companion, age, sex, risk level, medication associated with fall risk, implemented fall prevention protocol, type of injury, reason, restraint prescription, physical therapy prescription.
Topics: Accident Prevention; Accident Proneness; Accidental Falls; Age Factors; Aged; Aged, 80 and over; Brazil; Databases, Factual; Female; Hospitals; Humans; Inpatients; Male; Middle Aged; Patient Safety; Risk Assessment; Risk Factors; Sex Factors
PubMed: 31122283
DOI: 10.1186/s13104-019-4318-9 -
PeerJ 2019The way people behave in traffic is not always optimal from the road safety perspective: drivers exceed speed limits, misjudge speeds or distances, tailgate other road...
The way people behave in traffic is not always optimal from the road safety perspective: drivers exceed speed limits, misjudge speeds or distances, tailgate other road users or fail to perceive them. Such behaviors are commonly investigated using self-report-based latent variable models, and conceptualized as reflections of violation- and error-proneness. However, attributing dangerous behavior to stable properties of individuals may not be the optimal way of improving traffic safety, whereas investigating direct relationships between traffic behaviors offers a fruitful way forward. Network models of driver behavior and background factors influencing behavior were constructed using a large UK sample of novice drivers. The models show how individual violations, such as speeding, are related to and may contribute to individual errors such as tailgating and braking to avoid an accident. In addition, a network model of the background factors and driver behaviors was constructed. Finally, a model predicting crashes based on prior behavior was built and tested in separate datasets. This contribution helps to bridge a gap between experimental/theoretical studies and self-report-based studies in traffic research: the former have recognized the importance of focusing on relationships between individual driver behaviors, while network analysis offers a way to do so for self-report studies.
PubMed: 30647993
DOI: 10.7717/peerj.6119 -
The American Journal of Geriatric... Nov 2018The number of individuals transitioning from correctional facilities to community in later life (age ≥50 ) is increasing. We sought to determine if later-life prison...
OBJECTIVE
The number of individuals transitioning from correctional facilities to community in later life (age ≥50 ) is increasing. We sought to determine if later-life prison release is a risk factor for suicidal behavior and death by accidental injury, including drug overdose.
DESIGN
Retrospective cohort study.
SETTING
U.S. Department of Veterans Affairs and Medicare healthcare systems, 2012-2014.
PARTICIPANTS
Veterans age ≥50 released from correctional facilities (N = 7,671 re-entry veterans) and those never incarcerated (N = 7,671).
METHODS
Dates of suicide attempt and cause-specific mortality defined using the National Suicide Prevention Applications Network and the National Suicide Data Repository, respectively.
RESULTS
Later-life prison release was associated with increased risk of suicide attempt (599.7 versus 134.7 per 100,000 per year; adjusted hazard ratio [HR] 3.45; 95% confidence interval [CI] 2.24-5.32; p < 0.001, Wald χ = 31.58, degrees of freedom [df] = 1), death by drug overdose (121.7 versus 43.5; adjusted HR 3.45; 95% CI 1.37-8.73; p = 0.009, Wald χ = 6.86, df = 1), and other accidental injury (126.0 versus 39.1; adjusted HR 3.13; 95% CI 1.28-7.69; p = 0.013, Wald χ = 6.25, df = 1), adjusting for homelessness, traumatic brain injury, medical and psychiatric conditions, and accounting for competing risk of other deaths. Suicide mortality rates were observed as nonsignificant between re-entry veterans and those never incarcerated (30.4 versus 17.4, respectively; adjusted HR 2.40; 95% CI 0.51-11.24; p = 0.266, Wald χ = 1.23, df = 1).
CONCLUSION
Older re-entry veterans are at considerable risk of attempting suicide and dying by drug overdose or other accidental injury. This study highlights importance of prevention and intervention efforts targeting later-life prison-to-community care transitions.
Topics: Accident Proneness; Aged; Case-Control Studies; Cause of Death; Databases, Factual; Female; Humans; Male; Middle Aged; Prisoners; Residence Characteristics; Retrospective Studies; Risk Factors; Suicide, Attempted
PubMed: 30146371
DOI: 10.1016/j.jagp.2018.07.004 -
Journal of Behavioral Addictions Dec 2017Background and aims The smartphone is one of the most popular devices, with the average smartphone usage at 162 min/day and the average length of phone usage at...
Background and aims The smartphone is one of the most popular devices, with the average smartphone usage at 162 min/day and the average length of phone usage at 15.79 hr/week. Although significant concerns have been made about the health effects of smartphone addiction, the relationship between smartphone addiction and accidents has rarely been studied. We examined the association between smartphone addiction and accidents among South Korean university students. Methods A total of 608 college students completed an online survey that included their experience of accidents (total number; traffic accidents; falls/slips; bumps/collisions; being trapped in the subway, impalement, cuts, and exit wounds; and burns or electric shocks), their use of smartphone, the type of smartphone content they most frequently used, and other variables of interests. Smartphone addiction was estimated using Smartphone Addiction Proneness Scale, a standardized measure developed by the National Institution in Korea. Results Compared with normal users, participants who were addicted to smartphones were more likely to have experienced any accidents (OR = 1.90, 95% CI: 1.26-2.86), falling from height/slipping (OR = 2.08, 95% CI: 1.10-3.91), and bumps/collisions (OR = 1.83, 95% CI: 1.16-2.87). The proportion of participants who used their smartphones mainly for entertainment was significantly high in both the accident (38.76%) and smartphone addiction (36.40%) groups. Discussion and conclusions We suggest that smartphone addiction was significantly associated with total accident, falling/slipping, and bumps/collisions. This finding highlighted the need for increased awareness of the risk of accidents with smartphone addiction.
Topics: Accidental Falls; Accidents; Accidents, Traffic; Adult; Behavior, Addictive; Female; Humans; Male; Republic of Korea; Risk Factors; Smartphone; Students; Surveys and Questionnaires; Universities; Young Adult
PubMed: 29099234
DOI: 10.1556/2006.6.2017.070 -
Gaceta Sanitaria 2018To learn about children's perception of the causes and prevention strategies involved in school accidents.
OBJECTIVE
To learn about children's perception of the causes and prevention strategies involved in school accidents.
METHOD
The sample included 584 school children aged 8-9 years from Navarra. A mixed design was chosen by questionnaire with three open-response questions and one multiple-choice assessment. Analysis was performed in two phases: 1) qualitative development of categories and dimensions of the responses of narrative content, and 2) quantitative variables for recoding correlational analysis.
RESULTS
22 categories emerged, which make up three perceptual dimensions: 1) attribution of causality (5), 2) identification of mechanisms of avoidance (11), and 3) development of coping strategies (6). The correlation intra-variables portray varying degrees: on the one hand, moderate positive numbers (r>0.5) in allocating and identifying causality avoidance mechanisms and, on the other hand, high positive correlation values (r>0.7) referred to developing coping strategies.
DISCUSSION
Children are able to identify accidents as a health problem. They question the multiplicity of elements involved and relate the origin and kind of accident to prevention and support mechanisms.
Topics: Accident Prevention; Accident Proneness; Causality; Child; Cross-Sectional Studies; Female; Humans; Male; Psychology, Child; Qualitative Research; School Health Services; Surveys and Questionnaires
PubMed: 27816229
DOI: 10.1016/j.gaceta.2016.07.007 -
Social Science & Medicine (1982) Nov 2016Injury is the leading cause of death for Canadians aged 1 to 44, occurring disproportionately across regions and communities. In the Inuit territory of Nunavut, for...
Injury is the leading cause of death for Canadians aged 1 to 44, occurring disproportionately across regions and communities. In the Inuit territory of Nunavut, for instance, unintentional injury rates are over three times the Canadian average. In this paper, we develop a framework for assessing vulnerability to injury and use it to identify and characterize the determinants of injuries on the land in Nunavut. We specifically examine unintentional injuries on the land (outside of hamlets) because of the importance of land-based activities to Inuit culture, health, and well-being. Semi-structured interviews (n = 45) were conducted in three communities that have varying rates of search and rescue (SAR), complemented by an analysis of SAR case data for the territory. We found that risk of land-based injuries is affected by socioeconomic status, Inuit traditional knowledge, community organizations, and territorial and national policies. Notably, by moving beyond common conceptualizations of unintentional injury, we are able to better assess root causes of unintentional injury and outline paths for prevention.
Topics: Accident Proneness; Humans; Inuit; Nunavut; Off-Road Motor Vehicles; Qualitative Research; Rescue Work
PubMed: 27669121
DOI: 10.1016/j.socscimed.2016.09.026 -
Zhongguo Dang Dai Er Ke Za Zhi =... Dec 2014To investigate the incidence of accident proneness and its influencing factors in rural children.
OBJECTIVE
To investigate the incidence of accident proneness and its influencing factors in rural children.
METHODS
By random cluster sampling, 1 560 children were enrolled from one rural area in Hunan Province, China, and were surveyed with self-designed general and injury questionnaires. Unconditional multivariate logistic regression analysis was used to explore the major risk factors for accident-prone children.
RESULTS
One hundred and forty-seven accident-prone children were screened out and the incidence of accident proneness was 9.42%. Univariate analysis showed that gender (P<0.01), academic record (P<0.01), left-behind status (P<0.05), family type (P<0.05), family economic status (P<0.01), guardian's gender (P<0.05), guardian's marital status (P<0.05), guardian's occupation (P<0.05), and family educational mode (P<0.05) were influencing factors for accident proneness in rural children. Multivariate logistic regression analysis further revealed that low grade (OR=3.683, 95%CI: 1.028-4.283) and very low grade (OR=2.099, 95% CI: 1.587-8.546) in academic record, poverty in family economic status (OR=2.353, 95% CI: 1.222-4.533), and indulgence or indifference (OR=1.914, 95% CI: 1.029-3.559) and fickleness (OR=4.153, 95% CI: 1.847-9.338) in guardian's educational mode were risk factors for accident proneness in rural children, while female gender (OR=0.539, 95% CI: 0.369-0.788) was a protective factor.
CONCLUSIONS
Low academic record, poor family economy, and incorrect family education mode (indulgence or indifference and fickleness) would increase the incidence of accident proneness in rural children, but girls have less accident proneness than boys.
Topics: Accident Proneness; Adolescent; Child; Female; Humans; Incidence; Male; Rural Population
PubMed: 25523576
DOI: No ID Found