‘Case-mix models for home health care payment’ in Health Policy
Case-mix based payment of health care services offers potential to contain expenditure growth and simultaneously support needs-based care provision. However, limited evidence exists on its application in home health care (HHC). Therefore, this study aimed to synthesize available international literature on existing case-mix models for HHC payment.
We performed a systematic review of scientific literature, supplemented with grey literature. We searched for literature using six scientific databases, reference lists, expert consultation, and targeted websites. Data on study design, case-mix model attributes, and conclusions were extracted narratively. Of 3,303 references found, 22 scientific studies and 27 grey documents met eligibility criteria.
Eight case-mix models for HHC were identified, from the US, Canada, New Zealand, Australia, and Germany. Three countries have implemented a case-mix model as part of a HHC payment system. Different combinations of in total 127 unique case-mix predictors are included across models to predict HHC use. Case-mix models also differ in targeted services, operationalization, and outcome measures and predictive power. Case-mix based payment is not yet widely used within HHC. Multiple varieties were found between HHC case-mix models, and no one best form of a model seems to exist. Even though varieties are partly inevitable due to country-specific contexts, developing a shared vision in case-mix model attributes would be key to achieving efficient, needs-based HHC.
By Anne van den Bulck, Maud de Korte, Arianne Elissen, Silke Metzelthin, Misja Mikkers and Dirk Ruwaard
For more information, see Health Policy https://doi.org/10.1016/j.healthpol.2019.12.012
Also read
-
Maastricht University students have won the Dutch final of the student competition Ecotrophelia, a drinking vinegar based on apple cider vinegar, fruit and herbs.
-
In the upcoming months, we’ll share tips on Instagram for our students on how to live a healthier life. Not just a random collection, but tips based on actual research happening at our faculty. The brains behind this idea are Lieve Vonken and Gido Metz, PhD candidates at CAPHRI, the Care and Public...
-
Mayke Oosterloo is a movement disorders neurologist at Maastricht UMC+ and a researcher at the MHeNs institute of Maastricht University. In the outpatient clinic and various nursing homes in Limburg, she guides and treats patients (and their loved ones) with Huntington's disease.
