2014
DOI: 10.2522/ptj.20130359
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AM-PAC “6-Clicks” Functional Assessment Scores Predict Acute Care Hospital Discharge Destination

Abstract: This study provides evidence of the accuracy of "6-Clicks" scores for predicting destination after discharge from an acute care hospital.

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Cited by 150 publications
(128 citation statements)
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“…Conversely, some participants felt completely engaged in the process and felt like the decision was their own. No patient mentioned the use of evidence-based tools such as the simplified Trauma Rehabilitation and Prediction Tool (sTRaPT) 33 or the Activity Measure for Post Acute Care (AM-PAC) '6-Clicks' functional assessment tool 34 in decision-making. Previous literature has shown that non-injury-related considerations, such as funding arrangements and compensation status, are significant factors relating to patient discharge to in-patient rehabilitation after an acute hospital stay, 4,35 but patients in this cohort seemed unaware of the significance of their funding arrangements in terms of discharge choices.…”
Section: Discussionmentioning
confidence: 99%
“…Conversely, some participants felt completely engaged in the process and felt like the decision was their own. No patient mentioned the use of evidence-based tools such as the simplified Trauma Rehabilitation and Prediction Tool (sTRaPT) 33 or the Activity Measure for Post Acute Care (AM-PAC) '6-Clicks' functional assessment tool 34 in decision-making. Previous literature has shown that non-injury-related considerations, such as funding arrangements and compensation status, are significant factors relating to patient discharge to in-patient rehabilitation after an acute hospital stay, 4,35 but patients in this cohort seemed unaware of the significance of their funding arrangements in terms of discharge choices.…”
Section: Discussionmentioning
confidence: 99%
“…We first evaluated differences between participants according to whether they lived alone at the time of admission using chi‐square tests for categorical variables and t‐tests for continuous variables. We then used a multivariable logistic regression model examining the association between living alone and discharge to a SNF, controlling for a set of confounders defined a priori based on clinical experience and the prior published literature that included age, sex, race, insurance status, comorbidities, length of stay, and ADLs (including impaired mobility) . Drawing from findings of prior studies, we examined the interaction between living alone and previously identified variables associated with discharge to a SNF (age, length of stay, insurance status, impaired mobility) to determine whether there were different effects of living alone on discharge to SNF.…”
Section: Methodsmentioning
confidence: 99%
“…12 Hence, improving the efficiency of care, reducing LOS, unplanned hospital readmissions and providing sufficient supports to patients and their caregivers are priorities in acute care discharge planning. [13][14][15] However, discharge planning becomes a challenging issue for acute care providers from the first few days of trauma admission. 14 16 At the time of discharge, a wide range of discharge ► To the best of our knowledge, this study will be the first systematic review on predictors of discharge destination from acute care in patients with traumatic brain injury.…”
mentioning
confidence: 99%