M16 M17
Conditions
Interventions
Group 1: All patients included will be treated according to the new optimized care process.
PROMISE is a process-orientated project, which combines different treatment pathways based upon the "Enhance
Sponsors
Universitätsmedizin der Johannes Gutenberg Universität Mainz
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Indication for the operative treatment of arthrosis for the purpose of hip or knee replacement according to standardized criteria 2. Ability of the patient to understand nature and extent of individual requirements when participating in the new care process
Exclusion criteria
Exclusion criteria: 1. Life expectancy less than 1 year (for example in case of advanced cancer) 2. Exclusion criteria for a selective surgical procedure 3. Medical or psychological reasons not to participate in the study or which do not allow written consent
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The overall objective of this study is to investigate, wether an optimized care process leads to a an sustainable improvement with regard to the operative treatment of patients with hip or knee arthrosis. Data collection is done by means of questionnaires, interviews and secondray data. The working hypothesis assumes that an optimized cross-sectoral cooperation leads to an improvement in the identification of pre-existing conditions and due to this, wether clinical outcome can be improved. This is reflected in the primary endpoint: Presence of chronic pain. The primary outcome is the proportion of patients with reported chronic pain 12 months after surgery. This proportion will be compared with data obtained from literature. | — |
Secondary
| Measure | Time frame |
|---|---|
| The following secondary endpoints are regarded as an important priority: 1. Amount of identified pre-existing conditions 2. Extent of physical activity 3. Usage of medical service(s) 4. Quality of life 5. Interactions between partners as substantial parameter within the process. The amount of identified pre-existing conditions will be expressed as a variable, indicating the proportion of patients with known pre-existing conditions. This proportion will be compared with data obtained from literature. Extent of physical activity will be compared with reference data obtained from literature. Usage of medical service will be compared with data obtained from the control group, provided from the participating health insurance. Quality of life will be taken into account with regard to evaluation of the effect of the new care process. Source data are questionnaires, interviews and secondary data. | — |
Countries
Germany
Contacts
Public ContactBirgit Mehl
Universitätsmedizin der Johannes Gutenberg Universität Mainz - Zentrum für Orthopädie und Unfallchirurgie
Outcome results
None listed