Commonalities in rehabilitation data across diverse health conditions: a comparison of seven large European databases.
Commonalities in rehabilitation data across diverse health conditions: a comparison of seven large European databases.
Where did the research take place?
The study site has not been established. Author addresses may differ from where the research occurred.
Milan, IT · Author affiliation
IRCCS Galeazzi - Sant'Ambrogio Hospital, Milan, Italy.Location evidence
Ljubljana, SI · Author affiliation
University Rehabilitation Institute Republic of Slovenia; University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia.Location evidence
Ancona, IT · Author affiliation
Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.Location evidence
Nijmegen, NL · Author affiliation
IQ health, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands; School of Allied Health, HAN University of Applied Sciences, Nijmegen, the Netherlands; Department of Orthopaedic Surgery, Viecuri Medisch Centrum, Venlo, the Netherlands.Location evidence
Venlo, NL · Author affiliation
IQ health, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands; School of Allied Health, HAN University of Applied Sciences, Nijmegen, the Netherlands; Department of Orthopaedic Surgery, Viecuri Medisch Centrum, Venlo, the Netherlands.Location evidence
Rotterdam, NL · Author affiliation
Department of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Plastic and Reconstructive Surgery, Erasmus MC, University Medical Center Rotterdam, the Netherlands.Location evidence
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Original abstract
ObjectiveTo investigate whether rehabilitation data share common characteristics across different health conditions and care settings within the EU Horizon PREPARE project.DesignQualitative content analysis, with a comparative study of existing clinical databases.Subjects/patientsIndividuals with hand and wrist disorders, idiopathic scoliosis, intermittent claudication, lower limb amputation, Parkinson's disease or Parkinsonism, hip or knee replacement, and temporomandibular disorders.MethodsSeven rehabilitation-oriented clinical databases were analysed using the International Classification of Functioning, Disability and Health (ICF) framework. Variables were categorized as outcomes, modifiers, or baseline measurements. Commonalities and differences across data domains were identified through iterative consensus meetings among PREPARE partners.ResultsSubstantial heterogeneity was observed in data type and depth. Pain and quality of life were the most commonly reported outcomes, whereas discharge status and participation-related measures were rarely reported. The most prevalent modifiers were pharmacological treatments, orthoses or prostheses, and exercise-based interventions. All databases reported baseline information on diagnosis, anthropometry, and demographics; however, assessments of gait autonomy and daily activities were inconsistently documented.ConclusionDespite some overlapping domains, rehabilitation data collection remains fragmented and predominantly focused on biomedical aspects. Greater standardization and systematic inclusion of psychosocial and contextual variables are needed for robust predictive modelling and personalized rehabilitation.