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Background
Contemporary casemix systems for health services need to ensure that payment rates adequately account for actual resource consumption based on patients’ needs for services. It has been argued that functioning information, as one important determinant of health service provision and resource use, should be taken into account when developing casemix systems. However, there has to date been little systematic collation of the evidence on the extent to which the addition of functioning information into existing casemix systems adds value to those systems with regard to the predictive power and resource variation explained by the groupings of these systems. Thus, the objective of this research was to examine the value of adding functioning information into casemix systems with respect to the prediction of resource use as measured by costs and length of stay.
Methods
A systematic literature review was performed. Peer-reviewed studies, published before May 2014 were retrieved from CINAHL, EconLit, Embase, JSTOR, PubMed and Sociological Abstracts using keywords related to functioning (‘Functioning’, ‘Functional status’, ‘Function*, ‘ICF’, ‘International Classification of Functioning, Disability and Health’, ‘Activities of Daily Living’ or ‘ADL’) and casemix systems (‘Casemix’, ‘case mix’, ‘Diagnosis Related Groups’, ‘Function Related Groups’, ‘Resource Utilization Groups’ or ‘AN-SNAP’). In addition, a hand search of reference lists of included articles was conducted. Information about study aims, design, country, setting, methods, outcome variables, study results, and information regarding the authors’ discussion of results, study limitations and implications was extracted.
Results
Ten included studies provided evidence demonstrating that adding functioning information into casemix systems improves predictive ability and fosters homogeneity in casemix groups with regard to costs and length of stay. Collection and integration of functioning information varied across studies. Results suggest that, in particular, DRG casemix systems can be improved in predicting resource use and capturing outcomes for frail elderly or severely functioning-impaired patients.
Conclusion
Further exploration of the value of adding functioning information into casemix systems is one promising approach to improve casemix systems ability to adequately capture the differences in patient’s needs for services and to better predict resource use.
Objective:
Patient reported outcomes (PROs) are relevant in rheumatology. Variable accessibility and validity of commonly used PROs are obstacles to homogeneity in evidence synthesis. The objective of this project was to provide a comprehensive library of “validated PROs”.
Methods:
A launch meeting with rheumatologists, PROs methodological experts, and patients, was held to define the library’s aims and scope, and basic requirements. To feed the library we performed systematic reviews on selected diseases and domains. Relevant information on PROs was collected using standardised data collection forms based on the COSMIN checklist.
Results:
The EULAR Outcomes Measures Library (OML), whose aims are to provide and to advise on PROs on a user-friendly manner albeit based on scientific grounds, has been launched and made accessible to all. PROs currently included cover any domain and, are generic or specifically target to the following diseases: rheumatoid arthritis, osteoarthritis, spondyloarthritis, low back pain, systemic lupus erythematosus, gout, osteoporosis, juvenile idiopathic arthritis, and fibromyalgia. Up to 236 instruments (106 generic and 130 specific) have been identified, evaluated, and included. The systematic review for SLE, which yielded 10 specific instruments, is presented here as an example.
The OML website includes, for each PRO, information on the construct being measured and the extent of validation, recommendations for use, and available versions; it also contains a glossary on common validation terms.
Conclusion:
The OML is an in progress library led by rheumatologists, related professionals and patients, that will help to better understand and apply PROs in rheumatic and musculoskeletal diseases.