Craigven H S Sim1, Rehena Sultana2, Kenny X K Tay3, C Y Howe3, T S Howe3, Joyce S B Koh3. 1. Department of Orthopaedic Surgery, Singapore General Hospital, 20 College Rd, Academia Level 4, Singapore, Singapore. craigven@me.com. 2. Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore. 3. Department of Orthopaedic Surgery, Singapore General Hospital, 20 College Rd, Academia Level 4, Singapore, Singapore.
Abstract
OBJECTIVE: The demographics and co-morbidities of individuals may impact healthcare consumption, but it is less understood how premorbid physical and mental function may influence these effects. The aim of this study is to determine patient's pre-fracture quality of life and mobility affect acute hospital burden in the management of hip fracture, using length of stay (LOS) as a proxy for healthcare resource. MATERIALS AND METHODS: This is a retrospective study which investigated hip fracture patients who underwent surgery over the period of 2017-2020. Variables collected include LOS, age, gender, race, marital status, payer type, ASA score, time to surgery (TTS), type of surgery, fracture type, POD1 mobilization, discharge disposition, pre-fracture SF-36, EQ-5D and Parker mobility score (PMS) based on patient's recollection on admission. These variables were correlated with LOS using binary logistic regression on SAS. RESULTS: There were 1045 patients, and mean age was 79.5 + 8.57 (range 60-105) years with an average LOS 13.64 + 10.0 days (range 2-114). On univariate analysis, PMS, EQ-5D and all domains of SF-36 except bodily pain (BP), emotional role and mental health were associated significantly with LOS. Amongst the QOL and PMS scores, only the domains of SF-36 Physical Function (PF) (OR = 0.993, p = 0.0068) and General Health perception (GH) (OR 0.992, p = 0.0230) remained significant on the multivariate model. CONCLUSION: Our study showed that poor premorbid scores of SF36 PF and GH are independent factors associated with longer LOS in hip fracture patients after surgery, regardless of fracture type, age and ASA status. Hence, premorbid SF36 PF and GH can be used to identify patients that are at risk of prolonged hospital stay and employ targeted strategies to facilitate rehabilitation and discharge planning.
OBJECTIVE: The demographics and co-morbidities of individuals may impact healthcare consumption, but it is less understood how premorbid physical and mental function may influence these effects. The aim of this study is to determine patient's pre-fracture quality of life and mobility affect acute hospital burden in the management of hip fracture, using length of stay (LOS) as a proxy for healthcare resource. MATERIALS AND METHODS: This is a retrospective study which investigated hip fracture patients who underwent surgery over the period of 2017-2020. Variables collected include LOS, age, gender, race, marital status, payer type, ASA score, time to surgery (TTS), type of surgery, fracture type, POD1 mobilization, discharge disposition, pre-fracture SF-36, EQ-5D and Parker mobility score (PMS) based on patient's recollection on admission. These variables were correlated with LOS using binary logistic regression on SAS. RESULTS: There were 1045 patients, and mean age was 79.5 + 8.57 (range 60-105) years with an average LOS 13.64 + 10.0 days (range 2-114). On univariate analysis, PMS, EQ-5D and all domains of SF-36 except bodily pain (BP), emotional role and mental health were associated significantly with LOS. Amongst the QOL and PMS scores, only the domains of SF-36 Physical Function (PF) (OR = 0.993, p = 0.0068) and General Health perception (GH) (OR 0.992, p = 0.0230) remained significant on the multivariate model. CONCLUSION: Our study showed that poor premorbid scores of SF36 PF and GH are independent factors associated with longer LOS in hip fracture patients after surgery, regardless of fracture type, age and ASA status. Hence, premorbid SF36 PF and GH can be used to identify patients that are at risk of prolonged hospital stay and employ targeted strategies to facilitate rehabilitation and discharge planning.
Authors: Anna E Garcia; J V Bonnaig; Zachary T Yoneda; Justin E Richards; Jesse M Ehrenfeld; William T Obremskey; A Alex Jahangir; Manish K Sethi Journal: J Orthop Trauma Date: 2012-11 Impact factor: 2.512
Authors: Sean M Mitchell; Andrew S Chung; Joseph B Walker; Joshua W Hustedt; George V Russell; Clifford B Jones Journal: J Orthop Trauma Date: 2018-12 Impact factor: 2.512
Authors: Daniel J Johnson; Sarah E Greenberg; Vasanth Sathiyakumar; Rachel Thakore; Jesse M Ehrenfeld; William T Obremskey; Manish K Sethi Journal: J Orthop Traumatol Date: 2015-02-20