Dataset Information

Assessment of Patient Ambulation Profiles to Predict Hospital Readmission, Discharge Location, and Length of Stay in a Cardiac Surgery Progressive Care Unit.

ABSTRACT: Importance:Promoting patient mobility during hospitalization is associated with improved outcomes and reduced risk of hospitalization-associated functional decline. Therefore, accurate measurement of mobility with high-information content data may be key to improved risk prediction models, identification of at-risk patients, and the development of interventions to improve outcomes. Remote monitoring enables measurement of multiple ambulation metrics incorporating both distance and speed. Objective:To evaluate novel ambulation metrics in predicting 30-day readmission rates, discharge location, and length of stay using a real-time location system to continuously monitor the voluntary ambulations of postoperative cardiac surgery patients. Design, Setting, and Participants:This prognostic cohort study of the mobility of 100 patients after cardiac surgery in a progressive care unit at Johns Hopkins Hospital was performed using a real-time location system. Enrollment occurred between August 29, 2016, and April 4, 2018. Data analysis was performed from June 2018 to December 2019. Main Outcomes and Measures:Outcome measures included 30-day readmission, discharge location, and length of stay. Digital records of all voluntary ambulations were created where each ambulation consisted of multiple segments defined by distance and speed. Ambulation profiles consisted of 19 parameters derived from the digital ambulation records. Results:A total of 100 patients (81 men [81%]; mean [SD] age, 63.1 [11.6] years) were evaluated. Distance and speed were recorded for more than 14?000 segments in 840 voluntary ambulations, corresponding to a total of 127.8 km (79.4 miles) using a real-time location system. Patient ambulation profiles were predictive of 30-day readmission (sensitivity, 86.7%; specificity, 88.2%; C statistic, 0.925 [95% CI, 0.836-1.000]), discharge to acute rehabilitation (sensitivity, 84.6%; specificity, 86.4%; C statistic, 0.930 [95% CI, 0.855-1.000]), and length of stay (correlation coefficient,?0.927). Conclusions and Relevance:Remote monitoring provides a high-information content description of mobility, incorporating elements of step count (ambulation distance and related parameters), gait speed (ambulation speed and related parameters), frequency of ambulation, and changes in parameters on successive ambulations. Ambulation profiles incorporating multiple aspects of mobility enables accurate prediction of clinically relevant outcomes.

SUBMITTER: Jeong IC

PROVIDER: S-EPMC7078761 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Assessment of Patient Ambulation Profiles to Predict Hospital Readmission, Discharge Location, and Length of Stay in a Cardiac Surgery Progressive Care Unit.

Jeong In Cheol IC Healy Ryan R Bao Benjamin B Xie William W Madeira Tim T Sussman Marc M Whitman Glenn G Schrack Jennifer J Zahradka Nicole N Hoyer Erik E Brown Charles C Searson Peter C PC

JAMA network open 20200302 3

<h4>Importance</h4>Promoting patient mobility during hospitalization is associated with improved outcomes and reduced risk of hospitalization-associated functional decline. Therefore, accurate measurement of mobility with high-information content data may be key to improved risk prediction models, identification of at-risk patients, and the development of interventions to improve outcomes. Remote monitoring enables measurement of multiple ambulation metrics incorporating both distance and speed. ...[more]

PMID: 32181827

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Project description:BackgroundThe population of persons seeking medical care is linguistically diverse in the United States. Language barriers can adversely affect a patient's ability to explain their symptoms. Among hospitalized patients, these barriers may lead to higher readmission rates and longer hospitalizations. Trained interpreters help overcome communication barriers; however, interpreter usage among patients is suboptimal.ObjectiveTo investigate differences among patients with limited English proficiency (LEP) in their length of stay (LOS) and 30-day readmission rate associated with their receiving professional interpretation at admission or discharge.DesignWe analyzed the rates of interpretation at admission and discharge of all LEP patients admitted to a tertiary care hospital over a three-year period. We calculated length of stay in days and as log of LOS. We also examined 30-day readmission. Using multivariable regression models, we explored differences among patients who received interpretation at admission, discharge, or both, controlling for patient characteristics, including age, illness severity, language, and gender.ParticipantsAll LEP patients admitted between May 1, 2004 and April 30, 2007.Main measuresLength of hospital stay as related to use of professional interpreters; readmission to the hospital within 30 days.Key resultsOf the 3071 patients included in the study, 39 % received language interpretation on both admission and discharge date. Patients who did not receive professional interpretation at admission or both admission/discharge had an increase in their LOS of between 0.75 and 1.47 days, compared to patients who had an interpreter on both day of admission and discharge (P<0.02). Patients receiving interpretation at admission and/or discharge were less likely than patients receiving no interpretation to be readmitted with 30 days.ConclusionsThe length of a hospital stay for LEP patients was significantly longer when professional interpreters were not used at admission or both admission/discharge.

Project description:Objective: How hospital length of stay after delivery for women with preeclampsia is associated with risk for readmission is unknown. The objective of this study was to evaluate risk for 60-day hypertension-related postpartum readmission based on length of stay after delivery.Methods: The 2014 Healthcare Cost and Utilization Project's (HCUP) Nationwide Readmissions Database was used to analyze risk for readmission for a hypertension-related diagnosis within 60 days from cesarean delivery hospitalization for women with preeclampsia who underwent cesarean delivery. Risk for readmission was evaluated based on postoperative length of stay as well as demographic, hospital, and other obstetric factors. Population weights were applied to create national estimates. Multivariable analyses were performed with adjusted risk ratios (aRR) and corresponding 95% confidence intervals as measures of effect. Mean and median hospital charges based upon postoperative length of stay were also evaluated. Time from delivery hospitalization to readmission was calculated.Results: In 2014, 65 401 women with preeclampsia underwent cesarean delivery. Of these, 1016 women (1.6%) were readmitted for a hypertension-related diagnosis. 921 of the 1016 readmissions occurred within 10 days of discharge (90.6%). In adjusted analyses, postoperative LOS 5-7 days and >7 days compared to LOS <3 days were associated with decreased risk of 60-day hypertension-related readmission (aRR 0.59 95% CI 0.45, 0.78; aRR 0.53 95% CI 0.29, 1.00, respectively). When the cohort was restricted to women with severe preeclampsia or eclampsia, LOS 5-7 days was associated with decreased risk of 60-day hypertension-related readmission in both unadjusted and adjusted analyses compared to LOS <3 days (risk ratios (RR) 0.34, 95% CI 0.18, 0.65; aRR 0.29, 95% 0.18, 0.46, respectively). Median delivery hospitalization charges were $26 512. Compared to LOS <3 days, mean and median charges increased significantly for patients with LOS 4, 5-7, and >7 days.Conclusion: Longer postoperative length of stay during cesarean delivery hospitalizations was associated with decreased risk for postpartum hypertension-related readmission. Most readmissions occurred soon after discharge. These findings support that post-delivery management may play a role in likelihood of women requiring subsequent readmission for complications related to preeclampsia after discharge.

Dataset Information

Assessment of Patient Ambulation Profiles to Predict Hospital Readmission, Discharge Location, and Length of Stay in a Cardiac Surgery Progressive Care Unit.

Publications

Assessment of Patient Ambulation Profiles to Predict Hospital Readmission, Discharge Location, and Length of Stay in a Cardiac Surgery Progressive Care Unit.

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