The Journal of arthroplasty · 2018
Evaluation of a Preoperative Optimization Protocol for Primary Hip and Knee Arthroplasty Patients.
Оценочное исследованиеСтатьяНазвание и аннотация: Перевод пока не подготовлен
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Bernstein David N, Liu Tiffany C, Winegar Angela L, Jackson Lauren W, Darnutzer Jessica L, Wulf Kelsey M, Schlitt John T, Sardan Mauricio A, Bozic Kevin J
Аннотация
BACKGROUND: Preoperative optimization of risk factors has been suggested as a strategy to improve the value of total joint arthroplasty (TJA) care. We assessed the implementation of a TJA preoperative optimization protocol and its impact on length of hospital stay, discharge destination, 90-day readmissions, and hospital direct variable costs.
METHODS: This retrospective cohort study included adults undergoing primary elective TJA from 07/2015-09/2016 at an urban tertiary care hospital. Post-implementation patients were preoperatively screened for 19 risk factors; results and recommended interventions were reported to surgeons, who had the option to postpone or continue surgery as scheduled. Metrics from hospital administrative databases were compared between post-implementation (02/2016-09/2016) and pre-implementation cohorts (07/2015-11/2015).
RESULTS: The 314 post-implementation patients were slightly younger compared to the 351 pre-implementation patients (64.2 years vs 65.8 years, P = .02) and a higher percentage of patients had diabetes (18% vs 5.1%, P < .001). Of the 98% of post-implementation patients screened, 74% had at least 1 risk factor identified. Obstructive sleep apnea was the most common risk factor (52%), followed by depression (22%) and obesity (body mass index > 40 kg/m2 or 35-40 kg/m2 with comorbidities) (13%). Forty-six patients (20%) did not follow through with the recommended optimization before undergoing elective surgery. The post-implementation cohort had shorter average length of hospital stay (1.9 days vs 2.2 days, P < .001) and lower average total direct variable costs excluding implants ($5409 vs $5852, P < .001). There was no difference in patients discharged home (90% vs 89%, P = .53) or 90-day readmissions (4.1% vs 4.3%, P = .93).
CONCLUSION: In our experience, the majority of elective TJA patients have modifiable risk factors, indicating opportunity for preoperative intervention. Our evidence-based preoperative optimization program resulted in higher value care, demonstrated by similar outcomes with lower resource utilization.
METHODS: This retrospective cohort study included adults undergoing primary elective TJA from 07/2015-09/2016 at an urban tertiary care hospital. Post-implementation patients were preoperatively screened for 19 risk factors; results and recommended interventions were reported to surgeons, who had the option to postpone or continue surgery as scheduled. Metrics from hospital administrative databases were compared between post-implementation (02/2016-09/2016) and pre-implementation cohorts (07/2015-11/2015).
RESULTS: The 314 post-implementation patients were slightly younger compared to the 351 pre-implementation patients (64.2 years vs 65.8 years, P = .02) and a higher percentage of patients had diabetes (18% vs 5.1%, P < .001). Of the 98% of post-implementation patients screened, 74% had at least 1 risk factor identified. Obstructive sleep apnea was the most common risk factor (52%), followed by depression (22%) and obesity (body mass index > 40 kg/m2 or 35-40 kg/m2 with comorbidities) (13%). Forty-six patients (20%) did not follow through with the recommended optimization before undergoing elective surgery. The post-implementation cohort had shorter average length of hospital stay (1.9 days vs 2.2 days, P < .001) and lower average total direct variable costs excluding implants ($5409 vs $5852, P < .001). There was no difference in patients discharged home (90% vs 89%, P = .53) or 90-day readmissions (4.1% vs 4.3%, P = .93).
CONCLUSION: In our experience, the majority of elective TJA patients have modifiable risk factors, indicating opportunity for preoperative intervention. Our evidence-based preoperative optimization program resulted in higher value care, demonstrated by similar outcomes with lower resource utilization.
Предметные рубрики MeSH
AdultAgedAged, 80 and overArthroplasty, Replacement, HipArthroplasty, Replacement, KneeBody Mass IndexClinical ProtocolsCohort StudiesDatabases, FactualElective Surgical ProceduresFemaleHospital CostsHospitalsHumansLength of StayMaleMiddle AgedMultivariate AnalysisObesityPatient DischargePreoperative CareRetrospective StudiesRisk AssessmentRisk FactorsYoung Adult