Hypothesis:
(a) homogeneous and (b) independent change rates
Sample:
Specialized psychotherapeutic hospital
1210 patients
Most common diagnosis: F32, F33, F60, F50
Treatment between 2 and 77 days
Up to 9 assessments per patient
4149 observations
Method:
HLM; (xi,t - xi,t-1) / Δt = (β1 + ai) + (β2 + bi)t + ε
Empirical Verification
0,0820 -0,3559 -0,0781 <0,01 -0,0006 <0,01 0,0002 -0,0018 SOU 0,1139 -0,3539 -0,0812 <0,01 -0,0006 <0,01 0,0004 -0,0109 ZUF 0,0867 -0,4071 0,0035 <0,01 -0,0005 <0,01 0,0003 -0,0070 KOM 0,0886 -0,6204 0,1654 <0,01 -0,0007 <0,01 0,0104 -0,0042 SOZ 0,0791 -0,6501 0,1622 <0,01 -0,0006 <0,01 0,0179 -0,0185 PSY 0,1036 -0,2983 -0,0466 0,3516 -0,0002 <0,01 0,0011 -0,0346 KOE 0,0859 -0,3473 0,0036 <0,01 -0,0008 <0,01 0,0103 -0,0201 GES res MA AR p β2 p sd(I) β1 Findings:
How to improve Outcomes?
How to improve Outcomes?
Increase treatment length
Increase effectiveness
Match treatment and patient
Outcome monitoring
Identify non-reponders
Adapt treatment length to patients needs
How to improve Outcomes?
Increase treatment length
Increase effectiveness
Match treatment and patient
Outcome monitoring
Identify non-reponders
Adapt treatment length to patients needs
How to improve Outcomes?
Increase treatment length
Increase effectiveness
Match treatment and patient
Outcome monitoring
Identify non-reponders
Adapt treatment length to patients needs
How to improve Outcomes?
Increase treatment length
Increase effectiveness
Match treatment and patient
Outcome monitoring
Identify non-reponders
Adapt treatment length to patients needs
How to improve Outcomes?
Increase treatment length
Increase effectiveness
Match treatment and patient
Outcome monitoring
Identify non-reponders
Adapt treatment length to patients needs
Outcome criteria
Simulation: Treatment Length
x(1…n,0)=initial_distress_distirbution
FOR patient = 1 to n
FOR time = 1… max_treatment_time
x(patient,time)=x(patient,time-1)+c+randomvariable
IF x(patient,time)
Simulation: Treatment Length
Simulation: Treatment Length
Dose-Effect / Cost-Effect / Cost-Benefit
Simulation: Treatment Length
Dose-Effect / Cost-Effect / Cost-Benefit Efficiency: the relation between Effect and Effort
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