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The impact of demographic and situational factors on training transfer in a health care setting


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Figure 1

Model depicting the independent and dependent variables explored
Model depicting the independent and dependent variables explored

Sub groups for the independent variables: age, employment tenure, time since training, position, recruitment method and organisation size

VariableGroupsDescriptionN.Frequency %
AgeGr. 120-39 Years1311.9
Gr. 240-49 years4541.3
Gr. 350+ years5146.8
Employment tenureGr.1Up to 10 years6150.8
Gr. 211 – 20 years3932.5
Gr. 321+ years2016.7
Time since trainingGr. 1Up to 2 years2116.9
Gr. 22-3 years2520.2
Gr. 33-4 years2016.1
Gr. 44-5 years3629
Gr. 55+ years2217.7
Time since training – Re-coded for regression analysisGr. 16 -36 months4637.1
Gr. 237 -60 months8862.9
PositionGr. 1Activity co-ordinators and physiotherapy assistants3530.5
Gr. 2HCAs, nurses and others8069.5
Recruitment methodVolunteered2723.7
Approached by management8776.3
Organisation size< 50 residents5860.4
50+ residents3839.6

Multiple regression predicting perceptions of ability to transfer – summary of top indicators

Model No.VariableBetap95% of CI for OR
LowerHigher
Age−.233.049

= p < .05

−.051.000
Method of recruitment−.239.045

= p < .05

−.955−.012
Years employed.218.05

= p < .05

−.001.050
Model was statistically significant: p = .047

= p < .05

Ranges and mean scores for age, employment tenure and organisation size

VariableN.MinimumMaximumMeanStandard Deviation (S. D)
Age109276949.17.9
Employment Tenure12033713.17.6
Organisation Size96842057.964.6

Significant associations between independent variables and training transfer – direction

AgeBackgroundPositionEmployment TenureTime since Training
Delivering sessionsn.115120
χ213.817.16
p..01

= p < .05;

.03

= p < .05;

phi..35−.24
Delivering sessions regularlyn.79828284
χ29.26.9112.13.21
p..01

= p < .05;

.01

= p < .05;

.02

= p < .05;

.01

= p < .01.

phi..34−.32.39.40

Logistical regression analysis predicting likelihood of reporting delivery and regular delivery of activity sessions – summary of top indicators

Logistical regression predicting employee delivery of activity sessions (yes or no)
Independent variablesBSEWalddfp0R95% of CI for OR
LowerHigher
Age−.038.045.7371.390.962.8811.051
Background−.293.646.2061.650.764.2102.648
Employment position2.8721.1026.7791.009

p < .01.

17.6702.034153.497
Years employed−.051.0371.0961.167.950.8831.022
Logistical regression predicting employee delivery of activity sessions regularly
Independent variablesBSEWalddfp0R95% of CI for OR
LowerHigher
Background.959.7231.7581.1852.609.63210.772
Employment position1.567.8483.4151.0654.791.90925.239
Preparation.9881.066.8591.3542.685.33321.683
Time since training.902.6631.8541.1732.465.6739.029