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Table 1 Research use by demographic factors

From: Predicting research use in a public health policy environment: results of a logistic regression analysis

Demographics Participants Used research Did not use research Univariate logistic regression sig level
N(%) N(%) N(%)
All participants (row %) 372 (100) 145 (39.0) 227 (61)  
Agency 1 146 (39.2) 71 (49.0) 75 (33.0) 0.002*
2 226 (60.8) 74 (51.0) 152 (67.0) N/A
Role level Senior manager 15 (4.0) 10 (6.9) 5 (2.2) 0.025*
Manager 75 (20.2) 33 (22.8) 42 (18.5) 0.215
Non-manager 282 (75.8) 102 (70.3) 180 (79.3) N/A
Role focus Programs and projects 125 (36.6) 64 (44.1) 61 (26.0) N/A
Policy and legal 47 (12.6) 22 (15.2) 25 (11.0) 0.608
Operations 200 (53.8) 59 (40.7) 141 (62.1) 0.000*
Highest level of education High school/certificate 117 (31.5) 29 (20.0) 88 (38.8) N/A
Undergraduate 151 (40.6) 56 (38.6) 95 (41.8) 0.003*
Postgraduate 104 (27.9) 60 (41.4) 44 (19.4) 0.000*
Gender Male 121 (32.5) 55 (37.9) 66 (29.1) 1.000
Female 250 (67.2) 90 (62.1) 160 (70.5) 1.000
Other 1 (0.3) 0 (0.0) 1 (0.4) N/A
Age (years) 18-35 163 (43.8) 58 (40.0) 105 (46.3) N/A
36-55 187 (50.3) 82 (56.5) 105 (46.3) 0.116
56+ 22 (5.9) 5 (3.5) 17 (7.4) 0.238
Time in agency (years) 0-5 245 (65.9) 88 (60.7) 157 (69.2) N/A
6-15 111 (29.8) 51 (35.2) 60 (26.4) 0.073
16+ 16 (4.3) 6 (4.1) 10 (4.4) 0.898
Time in role (years) 0-5 332 (89.2) 132 (91.0) 200 (88.1) N/A
6-15 37 (9.9) 11 (7.6) 26 (11.5) 0.238
16+ 3 (0.8) 2 (1.4) 1 (0.4) 0.367
Time in government (years) 0-5 170 (45.7) 58 (40.0) 112 (49.4) N/A
6-15 146 (39.2) 60 (41.4) 86 (37.8) 0.202
16+ 56 (15.1) 27 (18.6) 29 (12.8) 0.061
  1. Agency 1 = WorkSafe Victoria; Agency 2 = Transport Accident Commission. All columns are percentages unless otherwise stated. N/A in univariate logistic regression column indicates the comparator variable, for example, Senior manager and Manager use of research was compared to Non-manager use of research.
  2. *Significant at ≤0.05.