BACKGROUND: In the absence of an instrument to predict risk of early readmission, examination of the well-validated probability of repeated admission (Pra) for this new purpose is indicated. OBJECTIVE: The objective of this study was to examine the use of the Pra in accurately identifying and predicting adult medical inpatients at risk of early readmission. METHODS: Over 20 months, 1,077 consecutively admitted medical patients were enrolled in this prospective cohort study at a Midwestern tertiary care medical center. Pra score values were calculated within 2 days of discharge. Databases at the index medical center and other institutions were queried to identify readmission within 41 days. RESULTS: Prevalence of readmission was 14% (confidence interval = 12.4%-15.6%). Pra score values ranged from .16 to .75. Indices to identify and predict readmission for a range of cut points were reported to minimize loss of information. The likelihood ratio for patients with a Pra score value > or = .53 was 1.67. Using a Pra cut point of > or = .45, readmission of patients with a high Pra was 2.3 times more likely than that of patients with a low Pra (p < .001, confidence interval = 1.63-3.27). Comparisons between cohorts indicated that differences existed with four of the eight variables used to calculate the Pra score: diabetes (p = .01), self-rated health status (p = .007), and number of doctor visits (p < .001) and hospitalizations (p < .001) in the past year. DISCUSSION: Within this heterogeneous sample, prediction of readmission using the Pra was better than chance. These findings may facilitate development of a better predictive model by combining select Pra variables with other variables associated with early readmission.
BACKGROUND: In the absence of an instrument to predict risk of early readmission, examination of the well-validated probability of repeated admission (Pra) for this new purpose is indicated. OBJECTIVE: The objective of this study was to examine the use of the Pra in accurately identifying and predicting adult medical inpatients at risk of early readmission. METHODS: Over 20 months, 1,077 consecutively admitted medical patients were enrolled in this prospective cohort study at a Midwestern tertiary care medical center. Pra score values were calculated within 2 days of discharge. Databases at the index medical center and other institutions were queried to identify readmission within 41 days. RESULTS: Prevalence of readmission was 14% (confidence interval = 12.4%-15.6%). Pra score values ranged from .16 to .75. Indices to identify and predict readmission for a range of cut points were reported to minimize loss of information. The likelihood ratio for patients with a Pra score value > or = .53 was 1.67. Using a Pra cut point of > or = .45, readmission of patients with a high Pra was 2.3 times more likely than that of patients with a low Pra (p < .001, confidence interval = 1.63-3.27). Comparisons between cohorts indicated that differences existed with four of the eight variables used to calculate the Pra score: diabetes (p = .01), self-rated health status (p = .007), and number of doctor visits (p < .001) and hospitalizations (p < .001) in the past year. DISCUSSION: Within this heterogeneous sample, prediction of readmission using the Pra was better than chance. These findings may facilitate development of a better predictive model by combining select Pra variables with other variables associated with early readmission.
Authors: Andrea Gruneir; Kinwah Fung; Hadas D Fischer; Susan E Bronskill; Dilzayn Panjwani; Chaim M Bell; Irfan Dhalla; Paula A Rochon; Geoff Anderson Journal: CMAJ Date: 2018-09-24 Impact factor: 8.262
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Authors: Omar Hasan; David O Meltzer; Shimon A Shaykevich; Chaim M Bell; Peter J Kaboli; Andrew D Auerbach; Tosha B Wetterneck; Vineet M Arora; James Zhang; Jeffrey L Schnipper Journal: J Gen Intern Med Date: 2009-12-15 Impact factor: 5.128
Authors: John Billings; Ian Blunt; Adam Steventon; Theo Georghiou; Geraint Lewis; Martin Bardsley Journal: BMJ Open Date: 2012-08-10 Impact factor: 2.692