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. 2019 Nov 27;19:895. doi: 10.1186/s12913-019-4745-2

Table 3.

Unit-level organizational change and sickness absence – multilevel random effects analyses

Change type Model 1a Model 2b
Short-term SA Long-term SA Short-term SA Long-term SA
(<=8 days) (>=9 days) (<=8 days) (>=9 days)
OR 95% CI OR 95% CI OR 95% CI OR 95% CI
Unit-level upsizing next quarter 1.01 (0.95–1.07) ns 1.001 (0.92–1.09) ns 1.02 (0.96–1.08) ns 1.02 (0.94–1.12) ns
Unit-level upsizing this quarter 0.75 (0.72–0.79) *** 0.83 (0.78–0.89) *** 0.77 (0.73–0.80) *** 0.89 (0.83–0.95) **
Unit-level upsizing previous quarter 0.83 (0.80–0.87) *** 0.83 (0.77–0.89) *** 0.85 (0.81–0.89) *** 0.88 (0.82–0.94) ***
Unit-level downsizing next quarter 0.65 (0.62–0.68) *** 0.92 (0.86–0.98) ** 0.67 (0.64–0.69) *** 0.96 (0.91–1.03) ns
Unit-level downsizing this quarter 1.11 (1.06–1.16) *** 0.92 (0.86–0.98) ns 1.11 (1.06–1.16) *** 0.94 (0.88–1.01) ns
Unit-level downsizing previous quarter 1.20 (1.14–1.27) *** 1.01 (0.93–1.09) ns 1.22 (1.15–1.29) *** 1.04 (0.96–1.13) ns
Unit-level merger next quarter 0.87 (0.77–0.99) ns 0.86 (0.72–1.03) ns 0.86 (0.76–0.97) ns 0.89 (0.74–1.06) ns
Unit-level merger this quarter 1.12 (1.01–1.24) ns 1.10 (0.96–1.27) ns 1.11 (1.01–1.23) ns 1.14 (0.99–1.31) ns
Unit-level merger previous quarter 0.97 (0.88–1.07) ns 0.92 (0.79–1.06) ns 0.97 (0.87–1.07) ns 0.95 (0.82–1.10) ns
Unit-level spin-off next quarter 0.94 (0.78–1.13) ns 0.87 (0.67–1.14) ns 0.94 (0.78–1.12) ns 0.89 (0.68–1.15) ns
Unit-level spin-off this quarter 1.09 (0.93–1.27) ns 1.007 (0.80–1.25) ns 1.08 (0.92–1.26) ns 1.01 (0.80–1.26) ns
Unit-level spin-off previous quarter 1.05 (0.89–1.23) ns 0.72 (0.56–0.93) ns 1.04 (0.88–1.22) ns 0.72 (0.56–0.93) ns
Unit-level outsourcing next quarter 0.37 (0.27–0.51) *** 0.49 (0.30–0.80) ** 0.36 (0.27–0.50) *** 0.51 (0.32–0.83) **
Unit-level insourcing this quarter 0.17 (0.07–0.42) *** 0.44 c (0.12–1.51) ns 0.15 (0.06–0.37) *** 0.44 (0.13–1.50) ns
Unit-level insourcing previous quarter 0.48 (0.29–0.79) ** 0.40 c (0.15–1.03) ns 0.46 (0.28–0.75) ** 0.46 (0.18–1.19) ns

Multilevel random effects logistic regression with short- and long-term sickness absence as outcome variables. Employee-quarters nested within employees, employees nested within units and units nested within departments

Significance: the level of statistical significance was set to p < .01. In the table, ** = p < .01; *** = p < .001

Abbreviations: SA sickness absence, OR odds ratio, CI 95% confidence intervals, ns not significant

N Upsizing 24,688 (313,056 observations); N Downsizing 24,838 (314,053); N Merger 24,165 (296,376); N Spin-off 24,084 (294,466); N Outsourcing 24,094 (293,352); N Insourcing 24,093 (293,310)

a Control variables not included

b Control variables included

c The results are calculated with the restriction “iterate (10)” to make converging possible with three random intercepts. The results are similar to those with two random intercepts (employee and work-unit) and without the iterate restriction