Het gebruik van kinesitherapie en van fysische geneeskunde ... - KCE

84 Physiotherapy & Physical and Rehabilitation Medicine KCE Reports 87
Table 37 : Model building of the probability of beginning rehabilitation with
PRM versus PT based on patient socio-health characteristics characteristics
and identification of hospital: Classification table
Prob Correct Incorrect Percentages
Level Non- Non- Correc Sensi- Speci- False False
Event Event Event Event t tivity ficity POS NEG
0.500 22883 23902 3036 2675 89.1 89.5 88.7 11.7 10.1
Even in the absence of data on the functional status of the patient, this
model provides an almost exact prediction of the type of rehabilitation
(PRM versus PT).
The hospital identity (i.e. the hospital’s registration number as defined by
the Ministry of Public Health) where the rehabilitation begins, is of first
importance. Additional information include the type of surgery, the patient’s
coverage for “minor risks”, the presence and nature of rehabilitation before
the operation and, to a lesser extent, the age and unemployment rate of the
statistical quarter of residence.
4.5.2.3 Probability of beginning rehabilitation with multi-disciplinary PRM during
hospitalisation
Model building based on patient characteristics
The rate of concordance (nearly 79%) is clearly better than that obtained for the model
building of the probability of prescribing PRM in first intention, regardless of the type of
PRM. The specificity of this model is very good, but sensitivity is poor.
The most important parameters are:
• Lack of coverage for "minor risks" makes these patients 42 times more likely
to receive multi-disciplinary PRM;
• Having received PRM during the 30-day period before the intervention of
PRM makes these patients 4 times more likely to receive multi-disciplinary
PRM versus patients receiving PT during the 30-day period before the
operation;
• Surviving for one year following surgery makes patients 1.6 times more likely
to receive multi-disciplinary PRM than patient with poorer diagnoses;
• Being under the age of 30 reduces the likelihood of receiving multidisciplinary
PRM by one third compared to patient between 30 and 59. Being
older slightly increases these chances.
The other statistically significant parameters have an odds ratio close to 1.