Patterns of health service use following work‐related injury and illness in Australian truck drivers: A latent class analysis

2019 ◽  
Vol 63 (2) ◽  
pp. 180-187
Author(s):  
Ting Xia ◽  
Ross Iles ◽  
Sharon Newnam ◽  
Dan I. Lubman ◽  
Alex Collie
Keyword(s):  
Health Service ◽  
Latent Class Analysis ◽  
Service Use ◽  
Latent Class ◽  
Truck Drivers ◽  
Health Service Use ◽  
Class Analysis ◽  
Work Related ◽  
Work Related Injury

scholarly journals Using the Past to Predict the Future: Latent Class Analysis of Patterns of Health Service Use of Older Adults in the Emergency Department

2014 ◽  
Vol 62 (4) ◽  
pp. 711-715 ◽  
Author(s):  
S. Nicole Hastings ◽  
Heather E. Whitson ◽  
Richard Sloane ◽  
Lawrence R. Landerman ◽  
Carolyn Horney ◽  
...  
Keyword(s):  
Older Adults ◽  
Emergency Department ◽  
Health Service ◽  
Latent Class Analysis ◽  
Service Use ◽  
Latent Class ◽  
Health Service Use ◽  
Class Analysis ◽  
The Past ◽  
The Future

scholarly journals Timing of Health Service Use Among Truck Drivers After a Work-Related Injury or Illness

2021 ◽  
Author(s):  
Ting Xia ◽  
Alex Collie ◽  
Sharon Newnam ◽  
Dan I. Lubman ◽  
Ross Iles
Keyword(s):  
Mental Health ◽  
Health Service ◽  
Health Services ◽  
Service Use ◽  
Truck Drivers ◽  
Health Service Use ◽  
Work Related ◽  
Work Related Injury ◽  
Service Type ◽  
Compensation Claims

AbstractPurposes Timely delivery of treatment and rehabilitation is generally acknowledged to support injury recovery. This study aimed to describe the timing of health service use by injured truck drivers with work-related injury and to explore the association between demographic and injury factors and the duration of health service use. Methods Retrospective cohort study of injured truck drivers with accepted workers’ compensation claims in the state of Victoria, Australia. Descriptive analyses examined the percentage of injured truck drivers using health services by service type. Logistic regression model examined predictors of any service use versus no service use, and predictors of extended service use (≥ 52 weeks) versus short-term use. Results The timing of health service use by injured truck drivers with accepted workers’ compensation claims varies substantially by service type. General practitioner, specialist physician, and physical therapy service use peaks within the 14 weeks after compensation claim lodgement, whilst the majority of mental health services were accessed in the persistent phase beyond 14 weeks after claim lodgement. Older age, being employed by small companies, and claiming compensation for mental health conditions were associated with greater duration of health service use. Conclusions Injured truck drivers access a wide range of health services during the recovery and return to work process. Delivery of mental health services is delayed, including for those making mental health compensation claims. Health service planning should take into account worker and employer characteristics in addition to injury type.

scholarly journals O2C.4 Patterns of health care use following work-related injury and illness in australian truck drivers: a latent class analysis

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A17.1-A17
Author(s):  
Ting Xia ◽  
Ross Iles ◽  
Sharon Newnam ◽  
Dan Lubman ◽  
Alex Collie
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Service Use ◽  
Latent Class ◽  
Truck Drivers ◽  
Health Care Use ◽  
Service Users ◽  
Work Related ◽  
Work Related Injury ◽  
Compensation Claims

PurposeTo identify patterns of health care use in truck drivers with work-related injury or illness and to identify demographic, occupation, injury/condition, claim and geographic factors associated with patterns of care.Method13 371 accepted workers compensation claims from truck drivers lodged between 2004 and 2013 in the state of Victoria were included. Episodes of health care were categorised according to practitioner type as General Practitioner (GP), Specialist Physician, Mental Health, Surgery, Return to Work, or Physical Therapy. Latent class analysis was used to identify and characterise the distinct profiles of users with different patterns of health service use. Multinomial logistic regression was used to examine the associations between latent class and predictors including demographic, claim and injury-related factors.ResultsFour profiles of heath service use were identified: (1) Low Service Users (55% of the sample) were more likely to be younger, have an injury that did not result in time off work and have conditions other than a musculoskeletal injury; (2) High Service Users (10%) tended to be those who were aged between 45 and 64 years, lived in major cities and had musculoskeletal conditions that resulted in time off work; (3) Physical Therapy Users (25%) were more likely to be aged between 45 and 64 years, live in major cities and have non-traumatic injuries that resulted in time off work; and (4) GP/Mental Health Users (10%) were more likely to be over 24 years of age, from the lowest socio-economic band, be employed by smaller organisations and be claiming benefits for a mental health condition.ConclusionsIt is possible to identify distinct patterns of health care use following work-related injury and disease using workers’ compensation claims data. Nature of injury/disease, sociodemographic characteristics and geographic proximity to health services affect patterns of care.

scholarly journals Characterizing Work-Related Smartphone Use at Home and Private Smartphone Use at Work Using Latent Class Analysis

2019 ◽  
Vol 3 (2) ◽  
pp. 187-203 ◽  
Author(s):  
Jonas Dora ◽  
Madelon L. M. van Hooff ◽  
Sabine A. E. Geurts ◽  
Wendela E. Hooftman ◽  
Michiel A. J. Kompier
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Work Related ◽  
Smartphone Use ◽  
At Home

Pesten op het werk, gewikt en gewogen. Een latente-klassenbenadering op basis van de Negative Acts-vragenlijst

2006 ◽  
Vol 19 (2) ◽  
Author(s):  
Guy Notelaers ◽  
Hans De Witte ◽  
Jeroen K. Vermunt ◽  
Ståle Einarsen
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Measurement Model ◽  
Objective Measurement ◽  
International Literature ◽  
Class Analysis ◽  
Work Related ◽  
Definition Of ◽  
Negative Acts ◽  
Cumulative Measurement

How to measure bullying at work? A latent class analysis of the Negative Acts Questionnaire How to measure bullying at work? A latent class analysis of the Negative Acts Questionnaire Guy Notelaers , Hans De Witte , Jeroen Vermunt & Stale Einarsen,Gedrag & Organisatie, Volume 19, Juni 2006, nr. 2, pp. 140. Bullying at work can be defined as a gradually escalating process. The actual measurements of bullying, however, do not adequately measure this process, and show several methodological and substantive shortcomings. In this study, a latent class analysis is performed on data (N = 6175) gathered with the Negative Acts Questionnaire ('objective' measurement of bullying). Six clusters can be distinguished: those 'not bullied' (35,3%), the 'limited work criticism'-cluster (27,7%), those with 'limited negative encounters' (16,5%), the 'sometimes bullied' (9%), the 'work related bullied' (8,3%) and the 'victims' (3,2%). These results suggest a cumulative measurement model for bullying at work, in which the type of negative behaviours and their intensity gradually increase. The results of this latent class analysis fit the definition of bullying at work in which such a gradual escalation is described. The size of the victims group also fits the size mentioned in the international literature, when bullying is measured with a subjective method.

scholarly journals Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data

2018 ◽  
Vol 72 (7) ◽  
pp. 605-610 ◽  
Author(s):  
Jhumka Gupta ◽  
Tiara C Willie ◽  
Courtney Harris ◽  
Paola Abril Campos ◽  
Kathryn L Falb ◽  
...  
Keyword(s):  
Intimate Partner Violence ◽  
Latent Class Analysis ◽  
Sexual Violence ◽  
Mexico City ◽  
Low Income ◽  
Partner Violence ◽  
Latent Class ◽  
Intimate Partner ◽  
Class Analysis ◽  
Work Related

BackgroundDisrupting women’s employment is a strategy that abusive partners could use to prevent women from maintaining economic independence and stability. Yet, few studies have investigated disruptions in employment among victims of intimate partner violence (IPV) in low-income and middle-income countries. Moreover, even fewer have sought to identify which female victims of IPV are most vulnerable to such disruptions.MethodsUsing baseline data from 947 women in Mexico City enrolled in a randomised controlled trial, multilevel latent class analysis (LCA) was used to classify women based on their reported IPV experiences. Furthermore, multilevel logistic regression analyses were performed on a subsample of women reporting current work (n=572) to investigate associations between LCA membership and IPV-related employment disruptions.ResultsOverall, 40.6% of women who were working at the time of the survey reported some form of work-related disruption due to IPV. LCA identified four distinct classes of IPV experiences: Low Physical and Sexual Violence (39.1%); High Sexual and Low Physical Violence class (9.6%); High Physical and Low Sexual Violence and Injuries (36.5%); High Physical and Sexual Violence and Injuries (14.8%). Compared with women in the Low Physical and Sexual Violence class, women in the High Physical and Sexual Violence and Injuries class and women in the High Physical and Low Sexual Violence and Injuries class were at greater risk of work disruption (adjusted relative risk (ARR) 2.44, 95% CI 1.80 to 3.29; ARR 2.05, 95% CI 1.56 to 2.70, respectively). No other statistically significant associations emerged.ConclusionIPV, and specific patterns of IPV experiences, must be considered both in work settings and, more broadly, by economic development programmes.Trial registration numberNCT01661504.

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