Use of the iPRISM webtool in a learning community to assess implementation context and fit of a novel clinical decision support tool for physical therapy triage in acute care hospitals.

BACKGROUND: The iPRISM webtool is an interactive tool designed to aid the process of applying the Practical, Robust Implementation and Sustainability Model (PRISM) for the assessment of and fit with context. A learning community (LC) is a multidisciplinary group of partners addressing a complex problem. Our LC coproduced the Physical TheraPy frEqueNcy Clinical decIsion support tooL (PT-PENCIL) to guide the use of physical therapist services in acute care hospitals. OBJECTIVE: To describe our LC's activities to co-produce the PT-PENCIL, use of the iPRISM webtool to assess its preimplementation context and fit, and develop a multicomponent implementation strategy for the PT-PENCIL. DESIGN: A descriptive research design. SETTING: Three tertiary care hospitals. PARTICIPANTS: Thirteen LC partners: six clinical physical therapists, three rehabilitation managers, three researchers, and a bioinformaticist. INTERVENTIONS: Not applicable. OUTCOME MEASURES: Using the iPRISM webtool, expected fit of the PT-PENCIL was rated 1 (not aligned) to 6 (well aligned) for each PRISM domain and expected reach, effectiveness, adoption, implementation, and maintenance were rated 1 (not likely at all) to 6 (very likely). Discrete implementation strategies were identified from the Expert Recommendations for Implementing Change. RESULTS: The process spanned 18 meetings over 8 months. Ten LC partners completed the iPRISM webtool. PRISM domains with the lowest expected alignment were the "implementation and sustainability infrastructure" (mean = 4.7 out of 6; range = 3-6) and the "external environment" (mean = 4.9 of 6; range = 4-6). Adoption was the outcome with the lowest expected likelihood (mean = 4.5 out of 6; range = 1-6). Six discrete implementation strategies were identified and combined into a multicomponent strategy. CONCLUSIONS: Within a LC, we used existing implementation science resources to co-produce a novel clinical decision support tool for acute care physical therapists and develop a strategy for its implementation. Our methodology can be replicated for similar projects given the public availability of each resource used.

Early physical rehabilitation dosage in the IntensiveCare Unit predicts hospital outcomes after criticalCOVID-19.

Objective: to examine the relationship between physical rehabilitation parameters including a novel approach to quantifying dosage with hospital outcomes for patients with critical COVID-19. Design: Retrospective practice analysis from March 5, 2020, to April 15, 2021. Setting: Intensive care units (ICU) at four medical institutions. Patients: n = 3,780 adults with ICU admission and diagnosis of COVID-19. Interventions: We measured the physical rehabilitation treatment delivered in ICU and patient outcomes: 1) mortality; 2) discharge disposition; and 3) physical function at hospital discharge measured by the Activity Measure-Post Acute Care (AM-PAC) "6-Clicks" (6-24, 24=greater functional independence). Physical rehabilitation dosage was defined as the average mobility level scores in the first three sessions (a surrogate measure of intensity) multiplied by the rehabilitation frequency (PT + OT frequency in hospital). Measurements and Main Results: The cohort was a mean 64 ± 16 years old, 41% female, mean BMI of 32 ± 9 kg/m2 and 46% (n=1739) required mechanical ventilation. For 2191 patients with complete data, rehabilitation dosage and AM-PAC at discharge were moderately, positively associated (Spearman's rho [r] = 0.484, p < 0.001). Multivariate linear regression (model adjusted R2= 0.68, p <0.001) demonstrates mechanical ventilation (ß = -0.86, p = 0.001), average mobility score in first three sessions (ß = 2.6, p <0.001) and physical rehabilitation dosage (ß = 0.22, p = 0.001) were predictive of AM-PAC scores at discharge when controlling for age, sex, BMI, and ICU LOS. Conclusions: Greater physical rehabilitation exposure early in the ICU is associated with physical function at hospital discharge.

Medicare's Post-Acute Care Reimbursement Models as of 2023: Past, Present, and Future.

The Centers for Medicare & Medicaid Services is continually working to mitigate unnecessary expenditures, particularly in post-acute care (PAC). Medicare reimburses for orthopaedic surgeon services in varied models, including fee-for-service, bundled payments, and merit-based incentive payment systems. The goal of these models is to improve the quality of care, reduce health-care costs, and encourage providers to adopt innovative and efficient health-care practices. This article delves into the implications of each payment model for the field of orthopaedic surgery, highlighting their unique features, incentives, and potential impact in the PAC setting. By considering the historical, current, and future Medicare reimbursement models, we hope to provide an understanding of the optimal payment model based on the specific needs of patients and providers in the PAC setting.

High Risk of Readmission After THA Regardless of Functional Status in Patients Discharged to Skilled Nursing Facility.

BACKGROUND: The postoperative period and subsequent discharge planning are critical in our continued efforts to decrease the risk of complications after THA. Patients discharged to skilled nursing facilities (SNFs) have consistently exhibited higher readmission rates compared with those discharged to home healthcare. This elevated risk has been attributed to several factors but whether readmission is associated with patient functional status is not known. QUESTIONS/PURPOSES: After controlling for relevant confounding variables (functional status, age, gender, caregiver support available at home, diagnosis [osteoarthritis (OA) versus non-OA], Charlson comorbidity index [CCI], the Area Deprivation Index [ADI], and insurance), are the odds of 30- and 90-day hospital readmission greater among patients initially discharged to SNFs than among those treated with home healthcare after THA? METHODS: This was a retrospective, comparative study of patients undergoing THA at any of 11 hospitals in a single, large, academic healthcare system between 2017 and 2022 who were discharged to an SNF or home healthcare. During this period, 13,262 patients were included. Patients discharged to SNFs were older (73 ± 11 years versus 65 ± 11 years; p < 0.001), less independent at hospital discharge (6-click score: 16 ± 3.2 versus 22 ± 2.3; p < 0.001), more were women (71% [1279 of 1796] versus 56% [6447 of 11,466]; p < 0.001), insured by Medicare (83% [1497 of 1796] versus 52% [5974 of 11,466]; p < 0.001), living in areas with greater deprivation (30% [533 of 1796] versus 19% [2229 of 11,466]; p < 0.001), and had less assistance available from at-home caregivers (29% [527 of 1796] versus 57% [6484 of 11,466]; p < 0.001). The primary outcomes assessed in this study were 30- and 90-day hospital readmissions. Although the system automatically flags readmissions occurring within 90 days at the various facilities in the overall healthcare system, readmissions occurring outside the system would not be captured. Therefore, we were not able to account for potential differential rates of readmission to external healthcare systems between the groups. However, given the large size and broad geographic coverage of the healthcare system analyzed, we expect the readmissions data captured to be representative of the study population. The focus on a single healthcare system also ensures consistency in readmission identification and reporting across subjects. We evaluated the association between discharge disposition (home healthcare versus SNF) and readmission. Covariates evaluated included age, gender, primary payer, primary diagnosis, CCI, ADI, the availability of at-home caregivers for the patient, and the Activity Measure for Post-Acute Care (AM-PAC) 6-clicks basic mobility score in the hospital. The adjusted relative risk (ARR) of readmission within 30 and 90 days of discharge to SNF (versus home healthcare) was estimated using modified Poisson regression models. RESULTS: After adjusting for the 6-clicks mobility score, age, gender, ADI, OA versus non-OA, living environment, CCI, and insurance, patients discharged to an SNF were more likely to be readmitted within 30 and 90 days compared with home healthcare after THA (ARR 1.46 [95% CI 1.01 to 2.13]; p= 0.046 and ARR 1.57 [95% CI 1.23 to 2.01]; p < 0.001, respectively). CONCLUSION: Patients discharged to SNFs after THA had a slightly higher likelihood of hospital readmission within 30 and 90 days compared with those discharged with home healthcare. This difference persisted even after adjusting for relevant factors like functional status, home support, and social determinants of health. These results indicate that for suitable patients, direct home discharge may be a safer and more cost-effective option than SNFs. Clinicians should carefully consider these risks and benefits when making postoperative discharge plans. Policymakers could consider incentives and reforms to improve care transitions and coordination across settings. Further research using robust methods is needed to clarify the reasons for higher SNF readmission rates. Detailed analysis of patient complexity, care processes, and causes of readmission in SNFs versus home health could identify areas for quality improvement. Prospective cohorts or randomized trials would allow stronger conclusions about cause-and-effect. Importantly, no patients should be unfairly "cherry-picked" or "lemon-dropped" based only on readmission risk scores. With proper support and care coordination, even complex patients can have good outcomes. The goal should be providing excellent rehabilitation for all, while continuously improving quality, safety, and value across settings. LEVEL OF EVIDENCE: Level III, therapeutic study.

The effect of post-acute rehabilitation setting on 90-day mobility after stroke: A difference-in-difference analysis.

Background: After discharged from the hospital for acute stroke, individuals typically receive rehabilitation in one of three settings: inpatient rehabilitation facilities (IRFs), skilled nursing facilities (SNFs), or home with community services (i.e., home health or outpatient clinics). The initial setting of post-acute care (i.e., discharge location) is related to mortality and hospital readmission; however, the impact of this setting on the change in functional mobility at 90-days after discharge is still poorly understood. The purpose of this work was to examine the impact of discharge location on the change in functional mobility between hospital discharge and 90-days post-discharge. Methods: In this retrospective cohort study, we used the electronic health record to identify individuals admitted to Johns Hopkins Medicine with an acute stroke and who had measurements of mobility [Activity Measure for Post Acute Care Basic Mobility (AM-PAC BM)] at discharge from the acute hospital and 90-days post-discharge. Individuals were grouped by discharge location (IRF=190 [40%], SNF=103 [22%], Home with community services=182 [(38%]). We compared the change in mobility from time of discharge to 90-days post-discharge in each group using a difference-in-differences analysis and controlling for demographics, clinical characteristics, and social determinants of health. Results: We included 475 individuals (age 64.4 [14.8] years; female: 248 [52.2%]). After adjusting for covariates, individuals who were discharged to an IRF had a significantly greater improvement in AM-PAC BM from time of discharge to 90-days post-discharge compared to individuals discharged to a SNF or home with community services (ß=-3.5 (1.4), p=0.01 and ß=-8.2 (1.3), p=<0.001, respectively). Conclusions: These findings suggest that the initial post-acute rehabilitation setting impacts the magnitude of functional recovery at 90-days after discharge from the acute hospital. These findings support the need for high-intensity rehabilitation and for policies that facilitate the delivery of high-intensity rehabilitation after stroke.

Reducing Physical Therapy Consults for Patients With High Functional Mobility in the Acute Medical Inpatient Setting: A Difference-in-Difference Analysis.

OBJECTIVE: To evaluate the effectiveness of clinical decision support for reducing misallocation of physical therapy (PT) consults. DESIGN: A prospective quasi-experimental study. Between October 2018 and November 2021, routinely documented data on functional status and physical therapy referrals were collected from electronic medical records. SETTING: Hospital Medicine and General Internal Medicine service lines at a large quaternary academic medical center. PARTICIPANTS: 20,810 adult patients hospitalized on any of the included treatment (hospital medicine) or control (general internal medicine) service lines. MAIN OUTCOME MEASURE: The primary outcome was "change in proportion of misallocated PT consults" measured as likelihood of PT consults for patients admitted with high functional mobility scores. Changes in the primary outcome from the pre-intervention to post-intervention period were compared in the control and treatment groups using propensity score-weighted difference-in-differences multivariable logit regression adjusting for clinically relevant covariates. INTERVENTION: The intervention period was measured for 20 months and consisted of a clinical decision support tool embedded in the daily note templates for hospital medicine providers. The tool provided education on patient mobility scores and their relation to need for PT consult. The tool was rolled out without any further announcements or education. RESULTS: Our cohort included 20,810 unique admissions (mean age 58.9, 55% women, 83% Black). Post-intervention, the likelihood of PT referrals for patients with high baseline mobility (AM-PAC >18) decreased by 7.3% (P<.001) for the treatment group compared with control, adjusted for age, sex, race, ethnicity, length-of-stay, and mobility change. CONCLUSION: Mobility score-based clinical decision support can decrease unneeded PT consults in the inpatient setting. This could help allocate therapy time for at-risk patients while also having a positive effect on health care systems.

Considering Mobility Status and Home Environment in Readmission Risk After Total Knee Arthroplasty.

BACKGROUND: Discharge disposition following total knee arthroplasty (TKA) offers varying levels of post-acute care monitoring depending on the medical status of the patient and his or her ability to function independently. Discharge disposition following TKA is associated with 30-day and 90-day hospital readmission, but prior studies have not consistently considered confounding due to mobility status after TKA, available caregiver support, and measures of home area deprivation. The purpose of this study was to examine 30-day and 90-day readmission risk for patients discharged to a skilled nursing facility (SNF) following TKA after controlling specifically for these factors, among other covariates. METHODS: This was a retrospective cohort study of patients undergoing TKA at any of 11 hospitals in a single, large, academic health-care system between January 2, 2017, and August 31, 2022, who were discharged to an SNF or home health care (HHC). The adjusted relative risk of readmission within 30 and 90 days of discharge to an SNF compared with HHC was estimated using modified Poisson regression models. RESULTS: There were 15,212 patients discharged to HHC and 1,721 patients discharged to SNFs. Readmission within 30 days was 7.1% among patients discharged to SNFs and 2.4% among patients discharged to HHC; readmission within 90 days was 12.1% for the SNF group and 4.8% for the HHC group. The adjusted relative risk after discharge to an SNF was 1.07 (95% confidence interval [CI], 0.79 to 1.46; p = 0.65) for 30-day readmission and 1.45 (95% CI, 1.16 to 1.82; p < 0.01) for 90-day readmission. CONCLUSIONS: Discharge to an SNF compared with HHC was independently associated with 90-day readmission, but not with 30-day readmission, after controlling for mobility status after TKA, available caregiver support, and home Area Deprivation Index, among other covariates. LEVEL OF EVIDENCE: Therapeutic Level III . See Instructions for Authors for a complete description of levels of evidence.

Association between physical therapy frequency and postacute care for a national cohort of patients hospitalized with pneumonia.

BACKGROUND: Annually more than 300,000 patients hospitalized for pneumonia need postacute care. Patients and systems prefer home discharge, but physical limitations often necessitate postacute care. It is unknown whether frequency of physical therapy in the hospital affects postacute care discharges. OBJECTIVE: Examine the relationship between physical therapy visit frequency and disposition among a national sample of patients hospitalized with pneumonia. DESIGNS: Observational cohort study. SETTING: Acute care hospital. PARTICIPANTS: Adult patients with primary diagnosis of pneumonia in the Premier Data Set who received physical therapy in the hospital during a 5-day window, with therapy on at least days 1 and 5. INTERVENTION: Physical therapy visit frequency. MAIN OUTCOME AND MEASURES: Discharge disposition (home or postacute care). RESULTS: We included 18,886 patients from 595 hospitals. Just over half were discharged home (n = 9638; 51.0%) and 558 (2.95%) died. Patients getting more frequent therapy were older, non-Hispanic white, treated in small non-teaching rural hospitals in the West, Midwest, or South, and had fewer severe illness indicators. In adjusted models, patients who received physical therapy on 100% of days were 7% [(95% confidence interval, 4.3-9.7), p < .0001] more likely to go home than patients who received physical therapy on 40% of days. As a falsification test, we found that there was no relationship between physical therapy frequency and all-cause mortality. Physical therapy visit frequency was positively associated with discharge to home. Increasing visit frequency of physical therapy in hospitals might reduce the need for postacute care, but randomized controlled trials are needed to confirm the effect.

Physical therapy provision for patients with pneumonia in US hospitals.

BACKGROUND: Physical therapy (PT) appears beneficial for hospitalized patients. Little is known about PT practice patterns and costs across hospitals. OBJECTIVE: To examine whether receiving PT is associated with specific patient and hospital characteristics for patients with pneumonia. We also explored the variability in PT service provision and costs between hospitals. METHODS: We included administrative claims from 2010 to 2015 in the Premier Healthcare Database, inclusive of 644 US hospitals. We examined associations between receiving at least one PT visit and patient (age, race, insurance, intensive care utilization, comorbidity status, and length of stay) and hospital (academic status, rurality, size, and location) characteristics. Exploratory measures included timing and proportion of days with PT visits, and per-visit and per-admission costs. RESULTS: Of 768,010 patients, 49% had PT. After adjustment, older age most significantly increased the probability of receiving PT (+38.0% if >80 vs. ≤50 years). Higher comorbidity burden, longer length of stay, and hospitalization in an urban setting were also associated with higher probability. Hospitalization in the South most significantly decreased the probability (-9.1% vs. Midwest). Patients without Medicare and Non-White patients also had lower probability. Median (interquartile range) days to first visit was 2 (1-4). Mean proportion of days with a visit was 35% ± 20%. Median per-visit cost was $88.90 [$56.70-$130.90] and per-admission was $224.00 [$137.80-$369.20]. CONCLUSION: Both clinical (intensive care utilization and comorbidity status) and non-clinical (age, race, rurality, location) factors were associated with receiving PT. Within and between hospitals, there was high variability in the number and frequency of visits, and costs.

Assisted ambulation to improve health outcomes for older medical inpatients (AMBULATE): study protocol for a randomized controlled trial.

BACKGROUND: Hospitalized older adults spend as much as 95% of their time in bed, which can result in adverse events and delay recovery while increasing costs. Observational studies have shown that general mobility interventions (e.g., ambulation) can mitigate adverse events and improve patients' functional status. Mobility technicians (MTs) may address the need for patients to engage in mobility interventions without overburdening nurses. There is no data, however, on the effect of MT-assisted ambulation on adverse events or functional status, or on the cost tradeoffs if a MT were employed. The AMBULATE study aims to determine whether MT-assisted ambulation improves mobility status and decreases adverse events for older medical inpatients. It will also include analyses to identify the patients that benefit most from MT-assisted mobility and assess the cost-effectiveness of employing a MT. METHODS: The AMBULATE study is a multicenter, single-blind, parallel control design, individual-level randomized trial. It will include patients admitted to a medical service in five hospitals in two regions of the USA. Patients over age 65 with mild functional deficits will be randomized using a block randomization scheme. Those in the intervention group will ambulate with the MT up to three times daily, guided by the Johns Hopkins Mobility Goal Calculator. The intervention will conclude at hospital discharge, or after 10 days if the hospitalization is prolonged. The primary outcome is the Short Physical Performance Battery score at discharge. Secondary outcomes are discharge disposition, length of stay, hospital-acquired complications (falls, venous thromboembolism, pressure ulcers, and hospital-acquired pneumonia), and post-hospital functional status. DISCUSSION: While functional decline in the hospital is multifactorial, ambulation is a modifiable factor for many patients. The AMBULATE study will be the largest randomized controlled trial to test the clinical effects of dedicating a single care team member to facilitating mobility for older hospitalized patients. It will also provide a useful estimation of cost implications to help hospital administrators assess the feasibility and utility of employing MTs. TRIAL REGISTRATION: Registered in the United States National Library of Medicine clinicaltrials.gov (# NCT05725928). February 13, 2023.

Comparison of stratification techniques for optimal management of patients with chronic low back pain in spine clinics.

BACKGROUND CONTEXT: Identifying optimal stratification techniques for subgrouping patients with low back pain (LBP) into treatment groups for the purpose of identifying optimal management and improving clinical outcomes is an important area for further research. PURPOSE: Our study aimed to compare performance of the STarT Back Tool (SBT) and 3 stratification techniques involving PROMIS domain scores for use in patients presenting to a spine clinic for chronic LBP. STUDY DESIGN: Retrospective cohort study. PATIENT SAMPLE: Adult patients with chronic LBP seen in a spine center between November 14, 2018 and May 14, 2019 who completed patient-reported outcomes (PROs) as part of routine care, and were followed up with completed PROs 1 year later. OUTCOME MEASURES: Four stratification techniques, including SBT, and 3 PROMIS-based techniques: the NIH Task Force recommended Impact Stratification Score (ISS), symptom clusters based on latent class analysis (LCA), and SPADE symptom clusters. METHODS: The 4 stratification techniques were compared according to criterion validity, construct validity, and prognostic utility. For criterion validity, overlap in characterization of mild, moderate, and severe subgroups were compared to SBT, which was considered the gold standard, using quadratic weighted kappa statistic. Construct validity compared techniques' ability to differentiate across disability groups defined by modified Oswestry LBP Disability Questionnaire (MDQ), median days in the past month unable to complete activities of daily living (ADLs), and worker's compensation using standardized mean differences (SMD). Prognostic utility was compared based on the techniques' ability to predict long-term improvement in outcomes, defined as improvement in global health and MDQ at 1-year. RESULTS: There were 2,246 adult patients with chronic LBP included in our study (mean age 61.0 [SD 14.0], 55.0% female, 83.4% white). All stratification techniques resulted in roughly a third of patients grouped into mild, moderate, and severe categories, with ISS and LCA demonstrating substantial agreement with SBT, while SPADE had moderate agreement. Construct validity was met for all techniques, with large effects demonstrated between mild and severe categories for differentiating MDQ, ADLs, and worker's compensation disability groups (SMD range 0.57-2.48). All stratification techniques demonstrated ability to detect improvement by 1-year, with severe groups experiencing the greatest improvement in multivariable logistic regression models. CONCLUSIONS: All 4 stratification techniques demonstrated validity and prognostic utility for subgrouping patients with chronic LBP based on risk of long-term disability. ISS and LCA symptom clusters may be the optimal methods given the improved feasibility of including only a few relevant PROMIS domains. Future research should investigate multidisciplinary treatment approaches to target mild, moderate, and severe patients based on these techniques.

Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions.

Background: Prior work by our group developed a stratification tool based on four PROMIS domains for patients with low back pain (LBP). Our study aimed to evaluate the ability of our previously developed symptom classes to predict long-term outcomes, and determine whether there were differential treatment effects by intervention. Methods: This was a retrospective cohort study of adult patients with LBP seen in spine clinics in a large health system between November 14, 2018 and May 14, 2019 who completed patient-reported outcomes as part of routine care at baseline and again at 12-months follow-up. Latent class analysis identified symptom classes based on PROMIS domain scores (physical function, pain interference, social role satisfaction, and fatigue) that were ≥1 standard deviation worse (meaningfully worse) than the general population. The ability of the profiles to predict long-term outcomes at 12-months was evaluated through multivariable models. Differences in outcomes by subsequent treatments (physical therapy, specialist visits, injections, and surgery) were investigated. Results: There were 3,236 adult patients (average age 61.1 ± 14.2, 55.4% female) included in the study with three distinct classes identified: mild symptoms (n = 986, 30.5%), mixed (n = 798, 24.7%) with poor scores on physical function and pain interference but better scores on other domains, and significant symptoms (n = 1,452, 44.9%). The classes were significantly associated with long-term outcomes, with patients with significant symptoms improving the most across all domains. Utilization differed across classes, with the mixed symptom class receiving more PT and injections and significant symptom class receiving more surgeries and specialist visits. Conclusions: Patients with LBP have distinct clinical symptom classes which could be utilized to stratify patients into groups based on risk of future disability. These symptom classes can also be used to provide estimates of the effectiveness of different interventions, further increasing the clinical utility of these classes in standard care.

Effects of an electronic health record-based mobility assessment and automated referral for inpatient physical therapy on patient outcomes: A quasi-experimental study.

OBJECTIVE: To assess the effectiveness of a hospital physical therapy (PT) referral triggered by scores on a mobility assessment embedded in the electronic health record (EHR) and completed by nursing staff on hospital admission. DATA SOURCES: EHR and billing data from 12 acute care hospitals in a western Pennsylvania health system (January 2017-February 2018) and 11 acute care hospitals in a northeastern Ohio health system (August 2019-July 2021). STUDY DESIGN: We utilized a regression discontinuity design to compare patients admitted to PA hospitals with stroke who reached the mobility score threshold for an EHR-PT referral (treatment) to those who did not (control). Outcomes were hospital length of stay (LOS) and 30-day readmission or mortality. Control variables included demographics, insurance, income, and comorbidities. Hospital systems with EHR-PT referrals were also compared to those without (OH hospitals as alternative control). Subgroup analyses based on age were also conducted. DATA EXTRACTION: We identified adult patients with a primary or secondary diagnosis of stroke and mobility assessments completed by nursing (n = 4859 in PA hospitals, n = 1749 in OH hospitals) who completed their inpatient stay. PRINCIPAL FINDINGS: In the PA hospitals, patients with EHR-PT referrals had an 11.4 percentage-point decrease in their 30-day readmission or mortality rates (95% CI -0.57, -0.01) relative to the control. This effect was not observed in the OH hospitals for 30-day readmission (ß = 0.01; 95% CI -0.25, 0.26). Adults over 60 years old with EHR-PT referrals in PA had a 26.2 percentage-point (95% CI -0.88, -0.19) decreased risk of readmission or mortality compared to those without. Unclear relationships exist between EHR-PT referrals and hospital LOS in PA. CONCLUSIONS: Health systems should consider methodologies to facilitate early acute care hospital PT referrals informed by mobility assessments.

Patient Versus Clinician Proxy Reliability of the AM-PAC "6-Clicks" Basic Mobility and Daily Activity Short Forms.

OBJECTIVE: The purpose of this study was to test the reliability of the Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" mobility and activity short forms between patients and therapist proxies. As a secondary aim, reliability was examined when patients completed their self-report before versus after the therapist evaluation. METHODS: Patients being seen for an initial physical therapist (N = 70) or occupational therapist (N = 71) evaluation in the acute care hospital completed the "6-Clicks" mobility short form (if a physical therapist evaluation) or activity short form (if an occupational therapist evaluation). Whether patients completed their self-assessment before or after the evaluation was randomized. Patient- and therapist-rated "6-Clicks" raw scores were converted to AM-PAC T-scores for comparison. Reliability was assessed with intraclass correlation coefficients (ICCs) and Bland-Altman plots, and agreement was assessed with weighted kappa values. RESULTS: The ICCs for the "6-Clicks" mobility and daily activity short forms were 0.57 (95% CI = 0.42-0.69) and 0.45 (95% CI = 0.28-0.59), respectively. For both short forms, reliability was higher when the patient completed the self-assessment after versus before the therapist evaluation (ICC = 0.67, 95% CI = 0.47-0.80 vs ICC = 0.50, 95% CI = 0.26-0.67 for the mobility short form; and ICC = 0.52, 95% CI = 0.29-0.70 vs ICC = 0.34, 95% CI = 0.06-0.56 for the activity short form). CONCLUSION: Reliability of the "6-Clicks" total scores was moderate for both the mobility and activity short forms, though higher for the mobility short form and when patients' self-report occurred after the therapist evaluation. IMPACT: Reliability of the AM-PAC "6-Clicks" short forms is moderate when comparing scores from patients with those of therapists responding as proxies. The short forms are useful for measuring participants' function in the acute care hospital; however, it is critical to recognize limitations in reliability between clinician- and patient-reported AM-PAC scores when evaluating longitudinal change and recovery.

Association of Physical Therapy Treatment Frequency in the Acute Care Hospital With Improving Functional Status and Discharging Home.

BACKGROUND: Physical therapists (PTs) are consulted to address functional deficits during hospitalization, but the effect of PT visit frequency on patients' outcomes is not clear. OBJECTIVE: The objective of this study was to examine whether PT visit frequency is independently associated with functional improvement, discharge home, and both outcomes combined. RESEARCH DESIGN: This was a retrospective cohort study. SUBJECTS: Patients discharged from hospitals in 1 health system between 2017 and 2020, stratified by diagnostic subgroup: cardiothoracic and vascular, general medical/surgical, neurological, oncology, and orthopedic. MEASURES: PT visit frequency was categorized as ≤2, >2-4, >4-7, >7 visits/week. Functional improvement was defined as ≥5-point improvement in Activity Measure for Post-Acute Care mobility score. Other outcomes were discharge home and both outcomes combined. RESULTS: There were 243,779 patients included. Proportions within frequency categories ranged from 11.0% (>7 visits/wk) to 40.5% (≤2 visits/wk) and varied by subgroup. In the full sample, 36% of patients improved function, 64% were discharged home, and 27% achieved both outcomes. In adjusted analyses, relative to ≤2 visits/week, the adjusted relative risk (aRR) for functional improvement increased incrementally with higher frequency (aRR=1.20, 95% confidence interval: 1.14-1.26 for >2-4 visits to aRR=1.78, 95% confidence interval: 1.55-2.03 for >7 visits). For all patients and within subgroups, the higher frequency was also associated with a greater likelihood of discharging home and achieving both outcomes. CONCLUSIONS: More frequent PT visits during hospitalization may facilitate functional improvement and discharge home. Most patients, however, receive infrequent visits. Further research is needed to determine the optimal delivery of PT services to meet individual patient needs.

Stratification of spine patients based on self-reported clinical symptom classes.

BACKGROUND CONTEXT: Improving prognostic stratification for patients with low back pain (LBP) outside of a primary care setting has been identified as an important area for further research. PURPOSE: Our study aimed to identify clinical symptom classes of patients presenting to a spine clinic based on 4 Patient Reported Outcome Measurement Information System (PROMIS) domains and evaluate demographic and clinical differences across classes. STUDY DESIGN: An observational cross-sectional study of patients seen in spine centers at a large health system. PATIENT SAMPLE: Adult patients with LBP seen in a spine center between November 14, 2018 and May 14, 2019 who completed patient-reported outcomes as part of routine care. OUTCOME MEASURES: PROMIS physical function, pain interference, satisfaction with social roles and activities, and fatigue. METHODS: Latent class analysis identified symptom classes based on PROMIS domain scores ≥1 standard deviation worse (meaningfully worse) than the general population. A multivariable multinomial logistic regression model was constructed to evaluate differences in symptom classes based on demographics and socioeconomic characteristics. Lastly, the ability of the profiles to discriminate across levels of disability, based on the modified Oswestry Disability Questionnaire (ODI), was evaluated. RESULTS: There were 7,144 adult patients included in the study who visited spine clinics for a primary complaint of LBP and completed all 4 PROMIS domains (age 58.7±15.9, 54% female). Three distinct classes were identified. Class 1 ("Significant Symptoms," n=3238) had PROMIS scores that were meaningfully worse than the population average for all domains. Class 2 ("Mixed Symptoms," n=1366) had meaningfully worse scores on physical function and pain interference but average scores on other domains. Class 3 ("Mild Symptoms," n=2540) had average scores across all domains. Compared to patients in Class 3, those in Class 2 were more likely older, and those in Classes 1 and 2 were more likely to be divorced, have lower household income, and no employment. Level of disability was significantly different across each class (average (SD) ODI for Classes 1-3: 53.4 (14.3), 39.9 (12.5), 22.9 (12.1), p<.01). CONCLUSIONS: Patients presenting to specialty clinics for LBP demonstrate distinct clinical symptom classes which could be utilized to inform specific symptom-based treatment. Future research should evaluate the ability of these classes to predict long-term disability.

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.

PLAN and AM-PAC "6-Clicks" Scores to Predict Discharge Disposition After Primary Total Hip and Knee Arthroplasty.

BACKGROUND: Determination of the appropriate post-discharge disposition after total hip (THA) and knee (TKA) arthroplasty is a challenging multidisciplinary decision. Algorithms used to guide this decision have been administered both preoperatively and postoperatively. The purpose of this study was to simultaneously evaluate the predictive ability of 2 such tools-the preoperatively administered Predicting Location after Arthroplasty Nomogram (PLAN) and the postoperatively administered Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" basic mobility tools-in accurately determining discharge disposition after elective THA and TKA. METHODS: The study included 11,672 patients who underwent THA (n = 4,923) or TKA (n = 6,749) at a single large hospital system from December 2016 through March 2020. PLAN and "6-Clicks" basic mobility scores were recorded for all patients. Regression models and receiver operator characteristic curves were constructed to evaluate the tools' prediction concordance with the actual discharge disposition (home compared with a facility). RESULTS: PLAN scores had a concordance index of 0.723 for the THA cohort and 0.738 for the TKA cohort. The first "6-Clicks" mobility score (recorded within the first 48 hours postoperatively) had a concordance index of 0.813 for the THA cohort and 0.790 for the TKA cohort. When PLAN and first "6-Clicks" mobility scores were used together, a concordance index of 0.836 was observed for the THA cohort and 0.836 for the TKA cohort. When the PLAN and "6-Clicks" agreed on home discharge, higher rates of discharge to home (98.0% for THA and 97.7% for TKA) and lower readmission rates (5.1% for THA and 7.0% for TKA) were observed, compared with when the tools disagreed. CONCLUSIONS: PLAN and "6-Clicks" basic mobility scores were good-to-excellent predictors of discharge disposition after primary total joint arthroplasty, suggesting that both preoperative and postoperative variables influence discharge disposition. We recommend that preoperative variables be collected and used to generate a tentative plan for discharge, and the final decision on discharge disposition be augmented by early postoperative evaluation. CLINICAL RELEVANCE: The determination of post-discharge needs after THA and TKA remains a complex clinical decision. This study shows how simultaneously exploring the predictive ability of preoperative and postoperative assessment tools on discharge disposition after total joint arthroplasty may be a useful aid in a value-driven health-care model.