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Biomedical subjects

Catelijne Joling

Publications and source records attributed to Catelijne Joling.

4 recordsLinked to original sources

Duration dependence in sickness absence: how can we optimize disability management intervention strategies?

OBJECTIVE: The optimal timing of interventions during sickness absence remains difficult to determine, because we do not have a clear picture of the presence and type of duration dependence that exists. This study investigates the impact of an intervention by the occupational physician as well as of socioeconomic and work-related factors on duration dependence during sickness absence. METHODS: Analyses were performed at the population level using data from a major longitudinal survey on work incapacity and return to work in The Netherlands. Several models of duration dependence are estimated. RESULTS: Evidence is found for the presence of variable-duration dependence. Characteristics that influence duration dependence of the return-to-work (RTW) rate are identified. CONCLUSIONS: The findings imply that RTW intervention strategies should vary according to differences in workers' susceptibility to positive or negative duration-dependence effects.

Absenteeism↗

Modelling return-to-work intervention strategies: a method to help target interventions.

The aim of this study is twofold: 1) to investigate the relationship between the probability of receiving an intervention by the occupational physician and the probability of return-to-work (RTW) of sick workers; 2) to explore the use of simultaneous modelling of the intervention and RTW process. Analyses are performed on population level using data from a major longitudinal survey on work incapacity and RTW in the Netherlands. A bivariate probit model is used to estimate the correlation between the probability of intervention and the probability of RTW A bivariate hazard model is applied to explore the joint distribution of the waiting times for the intervention and RTW The results of this study show that the probability of receiving an intervention from the occupational physician is not correlated with the probability of RTW Neither is the timing of both events correlated. The analyses do not indicate that the intervention by the occupational physician provides incentives for sick workers to RTW quicker.

Adult↗

Waiting for the doctor: gender differences in the timing of an intervention by the occupational physician.

This study aims to answer the question whether the relatively high inflow risk into disability for women, compared to that for men, is related to a lower chance of being called by the occupational physician during sickness absence. This chance is influenced by sociodemographic, health-related, and work-related factors, as well as by the duration of sickness absence. Using a proportional hazards model, the "risk" of being called by the physician within a certain time period (the so-called hazard rate) is estimated. Kaplan-Meier curves show a gender difference in the hazard rate. Women appear to have a higher chance of being called by the occupational physician (i.e., a shorter waiting time). The influence of the covariates on the hazard rate is estimated using a Weibull model. The Weibull estimations show a negative duration dependence for women, while for men there is no duration dependence. It is concluded that the higher chance for women to be called by the occupational physician is not associated with a gender difference in treatment. Rather, it is the result of a difference in underlying characteristics. Underlying characteristics that significantly predict the waiting time for the occupational physician are in particular related to the labor market position of the employee: educational qualifications, firm size, industry, occupational workload, and job tenure. Other significant predictors are duration and diagnosis.

Absenteeism↗

Taking a new course in research on the effectiveness of interventions. A study of physiotherapy interventions for people with musculoskeletal complaints.

Physiotherapy is a commonly employed intervention for people with musculoskeletal complaints. However, due to (methodological) limitations in previous research, the effectiveness of physiotherapy interventions has not yet been proven. The aim of the present study is twofold. First we try to solve some of the methodological problems, of which the most important are selection and endogeneity biases and state dependence. Secondly, the effect of a physiotherapy intervention on recovery from musculoskeletal complaints is investigated. The probability of receiving a physiotherapy intervention is estimated, as well as the probability of recovery as a result of this intervention. A longitudinal design is used. Analyses are performed using secondary data on a populational level. The analytical framework is provided by a Markov model. We use a logit model to estimate transition probabilities of this Markov model. Results show that experience with physiotherapy in the past is an important predictor for receiving physiotherapy in the future. Other predictors of the chance of receiving an intervention are also identified. Furthermore, results indicate that the effect of a physiotherapy intervention on recovery is negative. It is concluded that both the latter effect and the effect of intervention experience can partly be explained by medicalization, in spite of a presence of "severe" cases in the intervention group.

Adolescent↗