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Accident; Analysis and Prevention May 2007Accident related health problems have been suggested to cluster within persons. This phenomenon became known as accident proneness and has been a subject of many... (Meta-Analysis)
Meta-Analysis Review
Accident related health problems have been suggested to cluster within persons. This phenomenon became known as accident proneness and has been a subject of many discussions. This study provides an overview of accident proneness. Therefore, 79 articles with empirical data on accident rates were identified from databases Embase, Medline, and Psychinfo. First, definitions of accidents varied highly, but most studies focused on accidents resulting in injuries requiring medical attention. Second, operationalisations of accident proneness varied highly. Studies categorised individuals into groups with ascending accident rates or made non-accident, accident, and repetitive accident groups. Third, studies examined accidents in specific contexts (traffic, work, and sports) or populations (children, students, and patients). Therefore, we concluded that no overall prevalence rate of accident proneness could be given due to the large variety in operationalisations. However, a meta-analysis of the distribution of accidents in the general population showed that the observed number of individuals with repeated accidents was higher than the number expected by chance. In conclusion, accident proneness exists, but its study is severely hampered by the variation in operationalisations of the concept. In an effort to reach professional consensus on the concept, we end this paper with recommendations for further research.
Topics: Accidents; Cluster Analysis; Humans; Poisson Distribution; Prevalence; Risk Assessment; Risk Factors; United States; Wounds and Injuries
PubMed: 17094932
DOI: 10.1016/j.aap.2006.09.012 -
Accident; Analysis and Prevention Aug 2023Cerebral laterality has been linked to accident proneness and time perception, but the possible role of time estimation abilities has received little attention....
Cerebral laterality has been linked to accident proneness and time perception, but the possible role of time estimation abilities has received little attention. Accordingly, the present study focused on this under-explored question while also aiming to replicate past work examining the relationship between measures of laterality and injury proneness. Participants reported on the number of accidents they have had in their lifetime requiring medical care and the number of minor accidents they had in the past month as outcome variables. They also completed the Waterloo Handedness Questionnaire, a left bias visual task (Greyscales task), a right bias auditory verbal task (Fused Dichotic Words Task), and an objective measure of time perception. Extensive examination of statistical model fit showed that a model assuming a Poisson distribution provided the best fit for minor injuries and an additional negative binomial provided the best fit to the lifetime accidents. Results showed a negative relation between the degree of verbal laterality (absolute right bias) and injuries requiring medical care. Furthermore, the number of accidents requiring medical care was positively related to the precision of time estimation and the direction of verbal laterality on response time (raw right bias). Interpretations of these findings emphasize their implications for interhemispheric communication and motor control in the context of time estimation and auditory verbal laterality. These aspects seem to provide promising avenues for future research.
Topics: Humans; Functional Laterality; Accident Proneness; Accidents, Traffic; Attention
PubMed: 37172453
DOI: 10.1016/j.aap.2023.107098 -
Journal of the Royal Society of Medicine Aug 1991
Topics: Accident Proneness; Accidents, Occupational; Humans
PubMed: 1886130
DOI: 10.1177/014107689108400828 -
Journal of the Royal Society of Medicine Mar 1991Accident proneness may be an episodic or a lifelong disability. It is suggested that many of the chronically accident prone individuals are the same as those prone to... (Review)
Review
Accident proneness may be an episodic or a lifelong disability. It is suggested that many of the chronically accident prone individuals are the same as those prone to recurrent organic illnesses, that is they suffer from a congenital 'diathesis'.
Topics: Accident Proneness; Disease Susceptibility; Humans
PubMed: 2013898
DOI: 10.1177/014107689108400316 -
British Journal of Industrial Medicine Jan 1964The term accident proneness was coined by psychological research workers in 1926. Since then its concept—that certain individuals are always more likely than others to... (Review)
Review
The term accident proneness was coined by psychological research workers in 1926. Since then its concept—that certain individuals are always more likely than others to sustain accidents, even though exposed to equal risk—has been questioned but seldom seriously challenged. This article describes much of the work and theory on which this concept is based, details the difficulties encountered in obtaining valid information and the interpretative errors that can arise from the examination of imperfect data, and explains why accident proneness became so readily accepted as an explanation of the facts. A recent hypothesis of accident causation, namely that a person's accident liability may vary from time to time, is outlined, and the respective abilities of this and of accident proneness to accord with data from the more reliable literature are examined. The authors conclude that the hypothesis of individual variation in liability is more realistic and in better agreement with the data than is accident proneness.
Topics: Accident Proneness; Accidents; Humans
PubMed: 14106130
DOI: 10.1136/oem.21.1.1 -
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 -
British Journal of Industrial Medicine May 1985The idea of accident proneness, which originated in the early 1900s, has proved to be ineffectual as an operational concept. Discrete econometric methods may be useful...
The idea of accident proneness, which originated in the early 1900s, has proved to be ineffectual as an operational concept. Discrete econometric methods may be useful to find out which factors are at work in the process that leads to accidents and whether there are individuals who are more liable to accidents than others.
Topics: Accident Proneness; Accidents, Occupational; Attitude; Humans; Models, Biological; Probability
PubMed: 3986144
DOI: No ID Found -
Guy's Hospital Gazette Feb 1952
Topics: Accident Proneness; Accidents; Humans
PubMed: 14906868
DOI: No ID Found -
Canadian Medical Association Journal Mar 1964
Topics: Accident Proneness; Humans
PubMed: 14129492
DOI: No ID Found -
Canadian Journal of Occupational... Dec 1958
Topics: Accident Proneness; Accidents; Accidents, Traffic; Humans; Occupational Therapy
PubMed: 13618792
DOI: 10.1177/000841745802500403