Key Data Elements for Longitudinal Tracking of Physical Function: A Modified Delphi Consensus Study.

OBJECTIVE: Physical function is associated with important outcomes, yet there is often a lack of continuity in routine assessment. The purpose of this study was to determine data elements and instruments for longitudinal measurement of physical function in routine care among patients transitioning from acute care hospital setting to home with home health care. METHODS: A 4-round modified Delphi process was conducted with 13 participants with expertise in physical therapy, health care administration, health services research, physiatry/medicine, and health informatics. Three anonymous rounds identified important and feasible data elements. A fourth in-person round finalized the recommended list of individual data elements. Next, 2 focus groups independently provided additional perspectives from other stakeholders. RESULTS: Response rates were 100% for online rounds 1, 3, and 4 and 92% for round 2. In round 1, 9 domains were identified: physical function, participation, adverse events, behavioral/emotional health, social support, cognition, complexity of illness/disease burden, health care utilization, and demographics. Following the fourth round, 27 individual data elements were recommended. Of these, 20 (74%) are "administrative" and available from most hospital electronic medical records. Additional focus groups confirmed these selections and provided input on standardizing collection methods. A website has been developed to share these results and invite other health care systems to participate in future data sharing of these identified data elements. CONCLUSION: A modified Delphi consensus process was used to identify critical data elements to track changes in patient physical function in routine care as they transition from acute hospital to home with home health. IMPACT: Expert consensus on comprehensive and feasible measurement of physical function in routine care provides health care professionals and institutions with guidance in establishing discrete medical records data that can improve patient care, discharge decisions, and future research.

Combining the AM-PAC "6-Clicks" and the Morse Fall Scale to Predict Individuals at Risk for Falls in an Inpatient Rehabilitation Hospital.

OBJECTIVE: To determine the effect of adding the Activity Measure for Post-Acute Care (AM-PAC) Inpatient '6-Clicks' Short Forms to the Morse Fall Scale (MFS) to assess fall risk. Falls that occur in a rehabilitation hospital result in increased morbidity and mortality, increased cost, and negatively affect reimbursement. Identifying individuals at high risk for falls would enable targeted fall prevention strategies and facilitate appropriate resource allocation to address this critical patient safety issue. DESIGN: We used a retrospective observational design and repeated k-fold cross-validation (10 repeats and 10 folds) of logistic regression models with falls regressed onto: MFS alone, AM-PAC basic mobility and applied cognitive scales alone, and MFS and AM-PAC combined. SETTING: Inpatient rehabilitation hospital. PARTICIPANTS: After exclusions, 2007 patients from an inpatient setting (N=2007; 131 experienced a fall). Primary diagnoses included 602 individuals with stroke (30%), 502 with brain injury (25%), 321 with spinal cord injury (16%), and 582 with other diagnoses (29%). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Experience of a fall during inpatient stay. RESULTS: The MFS at admission was associated with falls (area under the curve [AUC], 0.64). Above and beyond the MFS, AM-PAC applied cognitive and basic mobility at admission were also significantly associated with falls (combined model AUC, 0.70). Although MFS and applied cognition showed linear associations, there was evidence for a nonlinear association with AM-PAC basic mobility. CONCLUSIONS: The AM-PAC basic mobility and AM-PAC applied cognitive scales showed associations with falls above and beyond the MFS. More work is needed to validate model predictions in an independent sample with truly longitudinal data; prediction accuracy would also need to be substantially improved. However, the current data do suggest that the AM-PAC has the potential to reduce the burden of fall management by focusing resources on a smaller cohort of patients identified as having a high fall risk.

Walking While Dialyzing: A Retrospective Observation of Early Mobility and Ambulation for Patients on Continuous Renal Replacement Therapy.

OBJECTIVES: To describe the practice of physical therapy for patients requiring continuous renal replacement therapy and assess data related to the safety and feasibility of physical therapy interventions. DESIGN: A retrospective observational cohort study. PATIENTS: Surgical and cardiovascular patients receiving continuous renal replacement therapy during a 2-year period from December 2016 to November 2018. SETTING: Two ICUs at a single academic medical center. INTERVENTION: Physical mobility and ambulation while on continuous renal replacement therapy. MEASUREMENTS AND MAIN RESULTS: Therapy data including ICU Mobility Scale score, number of physical therapy sessions with and without ambulation and gait distance, along with safety data including filter life, safety events, and mortality were analyzed. The cohort of patients receiving continuous renal replacement therapy during the 2-year period was 206. Of these, 172 (83.49%) received simultaneous physical therapy. The median ICU Mobility Scale was 5 (interquartile range, 4-7) over a total of 1,517 physical therapy sessions. Ambulation with concomitant continuous renal replacement therapy connected was achieved in 78 patients (37.86%). There were 377 ambulation sessions (24.85% of all sessions) with a mean of 4.83 (sds 4.94) ambulation sessions per ambulatory patient. Patients walked an average of 888.53 feet (sd 1,365.50) while on continuous renal replacement therapy and a daily average of 150.61 feet (sd 133.50). In-hospital mortality was lowest for patients who ambulated (17.95%) and highest for patients who received no therapy (73.53%). Continuous renal replacement therapy filter life was longest for patients who ambulated (2,047.20 min [sd 1,086.50 min]), and shortest in patients who received no therapy (1,682.20 min [sd 1,343.80 min]). One safety event was reported during this time (0.0007% of all physical therapy sessions). CONCLUSIONS: Ambulation while on continuous renal replacement therapy was not associated with an increased risk of safety events and was feasible with the use of nonfemoral catheters and dialysis equipment with internal batteries.