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1.
Lancet HIV ; 11(5): e284, 2024 May.
Article in English | MEDLINE | ID: mdl-38692823
3.
Lancet HIV ; 10(4): e219, 2023 04.
Article in English | MEDLINE | ID: mdl-37001963
7.
Lancet HIV ; : e526, 2021 Aug 23.
Article in English | MEDLINE | ID: mdl-34450055
13.
Am J Manag Care ; 25(6): 288-294, 2019 06.
Article in English | MEDLINE | ID: mdl-31211556

ABSTRACT

OBJECTIVES: To assess the association of a clinical decision support (CDS) algorithm for hospital discharge disposition with spending, readmissions, and postdischarge emergency department (ED) use. STUDY DESIGN: A retrospective study in a cohort of fee-for-service Medicare patients 65 years or older linked to a database of patients receiving CDS. METHODS: We evaluated (1) patients whose discharge disposition was concordant with the CDS recommendation versus those whose disposition was not and (2) patients receiving CDS for discharge disposition versus those not receiving CDS, regardless of concordance. Outcomes were spending over a 90-day episode, 90-day readmissions, and postdischarge ED utilization not associated with a readmission. RESULTS: Analysis of concordant versus discordant cases showed decreased spending for concordant cases ($860 savings; 95% CI, $162-$1558; P = .016), a decrease in readmissions (adjusted odds ratio [OR], 0.920; 95% CI, 0.850-0.995; P = .038), and no change in rate of postdischarge ED use (adjusted OR, 0.990; 95% CI, 0.882-1.110; P = .858). Analysis of patients receiving CDS versus not receiving CDS showed no significant difference in spending ($221 savings; 95% CI, -$115 to $557; P = .198), ED use (adjusted OR, 0.959; 95% CI, 0.908-1.012; P = .128), or readmission rate (adjusted OR, 1.004; 95% CI, 0.966-1.043; P = .840). CONCLUSIONS: Following the recommendation of a CDS algorithm for hospital discharge disposition was associated with lower spending, fewer readmissions, and no change in ED use over a 90-day episode of care.


Subject(s)
Algorithms , Decision Support Systems, Clinical/organization & administration , Decision Support Systems, Clinical/statistics & numerical data , Patient Discharge/statistics & numerical data , Activities of Daily Living , Aged , Aged, 80 and over , Decision Support Systems, Clinical/economics , Emergency Service, Hospital/economics , Emergency Service, Hospital/statistics & numerical data , Fee-for-Service Plans/statistics & numerical data , Female , Health Expenditures/statistics & numerical data , Humans , Male , Medicare/statistics & numerical data , Patient Discharge/economics , Patient Readmission/economics , Patient Readmission/statistics & numerical data , Physical Functional Performance , Retrospective Studies , United States
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