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Which vision care services are practiced by general practitioners, opthalmologists and optometrists in the Netherlands are discussed. Division of labor, task boundary conflicts, and consensus on professional domains are assessed. Patient cases show considerable overlap in the services provided by these professions. Increased inter-professional coordination would probably only result from external intervention.

The working hours, patterns and work schedules of employees were assessed in terms of need for recovery from work. Considerable gender differences in the organizations between working hours and need for recovery was observed.

This article describes a two-wave panel study which was carried out to examine reciprocal relationships between job characteristics and work-related psychological well-being. Hypotheses were tested in a sample of 261 health care professionals using structural equation modelling (LISREL 8). Controlling for gender, age, and negative affectivity, the results primarily supported the hypothesis that Time 1 job characteristics influence Time 2 psychological well-being. More specifically, Time 2 job satisfaction was determined by Time 1 job demands and workplace social support, respectively. Furthermore, there was also some preliminary but weak evidence for reversed cross-lagged effects since Time 1 emotional exhaustion seemed to be the causal dominant factor with respect to Time 2 (perceived) job demands. In conclusion, this study builds on earlier cross-sectional and longitudinal findings by eliminating confounding factors and diminishing methodological deficiencies. Empirical support for the influence of job characteristics on psychological well-being affirms what several theoretical models have postulated to be the causal ordering among job characteristics and work-related psychological well-being., The purpose of this study was to examine the causal relationship between job characteristics and employee psychological well-being. While there is some general agreement that these relationships do exist, there [...]

This article describes a test of Karasek's Job Demand-Control (JD-C) Model using both group and individual level assessments of job characteristics. By group assessments, we mean aggregated individual data. A random sample from general hospitals and nursing homes included 16 institutions, 64 units, and 1489 health care workers (82% response). Because of the hierarchically nested data structure (i.e., institutions, units, and individuals) the research questions and hypothesis were tested in multilevel regression analyses (VARCL). The results revealed both group level and individual level effects with regard to psychological outcomes, and stressed the usefulness of multilevel techniques. Karasek's JD-C Model was partly confirmed by finding two interaction effects at group level and at individual level with regard to job satisfaction and work motivation, respectively. The discussion focuses on theoretical, methodological, and practical implications of multilevel modeling with respect to the JD-C Model. KEY WORDS: job demand-control model; multilevel analysis; workstress; health care., INTRODUCTION In order to redesign jobs or workplaces, researchers were always interested in how job characteristics affect working people. In the last few decades, many organizational research studies have shown [...]

This paper reports a study of 212 health care professionals that focuses on job characteristics as predictors of employee health. By means of covariance structure modelling (LISREL 8) we tested the interactive assumptions of the Karasek (1979) Job Demand-Control (JD-C) Model [Karasek, R.A., Jr., 1979. Job demands, job decision latitude, and mental strain: implications for job redesign. Administrative Science Quarterly, 24, 285-307.] using three different concepts of job demands (i.e. psychological job demands, physical demands and emotional demands) in combination with a more focused measure of decision latitude (i.e. job autonomy) to predict employee health (i.e. job satisfaction, job involvement, emotional exhaustion and psychosomatic health complaints). Controlling for gender and age, the results partly support the JD-C hypotheses by finding three out of twelve assumed interaction effects. More specifically, different outcome variables are predicted by different combinations of job autonomy with the three kinds of job demands, respectively. In conclusion, although we refute the central hypotheses of the JD-C model to a large extent, the current (interactive) findings are quite illuminating and will be discussed in the context of their theoretical and practical implications. Researchers as well as practitioners have to broaden their perspective on 'job demands' in health care work and need to focus on different kinds of job demands to capture the complexity of this work setting. Keywords: Job demand-control model: Health care professionals; Burnout; Covariance structure modelling