Associations between organizational injustice and work ability, self-reported disability days, and medical consultations: cross-sectional findings from employees with prior sickness absence payments

Organizational Justice and Health: Reviewing Two Decades of Studies

Organizational justice refers to employees’ perceptions of the fairness of decision-making rules and policies in the workplace. Lack of justice is suggested to be a significant psychosocial risk factor that affects employees’ attitudes and health. The aim of this narrative review was to compile the evidence available about the effects of organizational justice on health. To this end, a literature search was carried out using the Web of Science, PubMed, and PsycINFO databases. The final sample consisted of 103 articles that studied the effects of justice on mental health (40 results), job stress (26), sickness absence (15), physical health (14), absenteeism/presenteeism (3), safety at work (3), and health of third parties (2). The results show that perceptions of workplace justice predict employees’ mental health, stress-related health problems, and lower levels of sickness absence were relatively compelling. Future studies should focus on less-researched outcomes and on how these associations are modified by other variables for a better understanding of how justice affects health, with a view to being able to carry out preventive measures more efficiently.

A longitudinal study of changes in interactional justice and subsequent short-term sickness absence among municipal employees

Objectives Level of perceived interactional justice has been shown to be associated with sickness absence, but less is known about the effects of changes in interactional justice. It is also unknown to what extent unmeasured, time-invariant differences contribute to the association. We investigated the association between interactional justice changes and subsequent short-term (1-3 days) sickness absences over a 12-year follow-up using between- and within-individual modeling among ageing municipal employees. Methods The data was derived from Helsinki Health Study cohort with baseline survey in 2000-2002 (N=8960, response rate 67%) and follow-up surveys in 2007 and 2012 (response rates 79% and 83%, respectively). At baseline, participants were 40-60-year-old employees of the City of Helsinki, Finland. Sickness absences from the employer's registry were linked with the responses (78%). The analytic sample was 2109 and 2070 individuals for between-individual and 4433 individuals and 8425 observations for within-individual associations. Results Negative change in interactional justice was associated with an increased risk of short-term sickness absence in between-individual models after adjusting for age and gender. Adjustment for sickness absence history attenuated the association. In within-individual models, a negative change in perceived interactional justice was associated with an increased risk of short-term sickness absence spells [incidence rate ratios (IRR) 1.05 (95% confidence interval 1.01-1.09)]. This association was robust to adjustments for gender, age, health behaviors and sickness absence history. Conclusions Paying attention to management principles - especially managerial behavior and treatment of employees to avoid the deterioration of the level of interactional justice - may provide a way of reducing self-certified short-term sickness absence spells.

Self-reported health problems and obesity predict sickness absence during a 12-month follow-up: a prospective cohort study in 21 608 employees from different industries

OBJECTIVES

To study whether self-reported health problems predict sickness absence (SA) from work in employees from different industries.

METHODS

The results of a health risk appraisal (HRA) were combined with archival data of SA of 21 608 employees (59% female, 56% clerical). Exposure variables were self-reported health problems, labelled as 'work disability (WD) risk factors' in the HRA, presence of problems with occupational well-being and obesity. Age, socioeconomic grading and the number of SA days 12 months before the survey were treated as confounders. The outcome measure was accumulated SA days during 12-month follow-up. Data were analysed separately for males and females. A Hurdle model with negative binomial response was used to analyse zero-inflated count data of SA.

RESULTS

The HRA results predicted the number of accumulated SA days during the 12-month follow-up, regardless of occupational group and gender. The ratio of means of SA days varied between 2.7 and 4.0 among those with 'WD risk factors' and the reference category with no findings, depending on gender and occupational group. The lower limit of the 95% CI was at the lowest 2.0. In the Hurdle model, 'WD risk factors', SA days prior to the HRA and obesity were additive predictors for SA and/or the accumulated SA days in all occupational groups.

CONCLUSION

Self-reported health problems and obesity predict a higher total count of SA days in an additive fashion. These findings have implications for both management and the healthcare system in the prevention of WD.