Profile and Trends in Comorbidity for Patients Undergoing Hip and Knee Arthroplasty Using the Rx-Risk Measure with Pharmaceutical Dispensing Records

Autor: Ilana N. Ackerman, Maria C.S. Inacio, Michelle Lorimer, Stephen E. Graves, Mhairi Kerr, Katherine M Duszynski, Louisa Jorm, Nicole L. Pratt, Richard de Steiger, Aarti Gulyani, Ian A. Harris
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Population Data Science, Vol 5, Iss 5 (2020)
ISSN: 2399-4908
Popis: IntroductionPatient comobidity at time of primary joint replacement (JR) impacts on outcomes including revision and mortality. Understanding changes in comorbidity profiles is important when assessing change in outcomes over time. Most arthroplasty registries have limited comorbidity information due to their minimum dataset. One approach to obtaining additional comorbidity data is linking registry data with national administrative data. Objectives and ApproachObjectives were to quantify pre-operative comorbidity profile of patients undergoing primary total hip replacement (THR) and total knee replacement (TKR) for osteoarthritis. Also, to examine temporal trends in individual comorbidities for THR and TKR patients. National pharmaceutical dispensing data were linked with THR and TKR arthroplasty patients. Medication dispensing histories in 12-months preceding JR (2003-2017) for 237,333 THR and 394,965 TKR patients, were mapped to 47 comorbidity classes using the Rx-Risk-V measure - a pharmacy-based measure of comorbidity. Comorbidity scores were calculated by summing comorbidity categories for individual patients. Trends in comorbidity scores/categories were described, with comorbidity information presented by PBS beneficiary category (concessional/general), stratified by age (
Databáze: OpenAIRE