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. Author manuscript; available in PMC: 2024 Sep 1.
Published in final edited form as: J Am Geriatr Soc. 2023 May 24;71(9):2855–2864. doi: 10.1111/jgs.18413

High-intensity home health physical therapy among older adult Veterans: A randomized controlled trial

Jennifer E Stevens-Lapsley a,b, Danielle Derlein a, Laura Churchill a, Jason R Falvey c, Amy Nordon-Craft a, William J Sullivan d, Jeri E Forster e,f, Julie A Stutzbach a,g, Katie A Butera a,h, Robert E Burke i, Kathleen K Mangione j
PMCID: PMC10684313  NIHMSID: NIHMS1897917  PMID: 37224397

Abstract

Background:

Older adult Veterans are at high risk for adverse health outcomes following hospitalization. Since physical function is one of the largest potentially modifiable risk factors for adverse health outcomes our purpose was to determine if progressive, high-intensity resistance training in home health physical therapy (PT) improves physical function in Veterans more than standardized home health PT and to determine if the high-intensity program was comparably safe, defined as having a similar number of adverse events.

Methods:

We enrolled Veterans and their spouses during an acute hospitalization who were recommended to receive home health care on discharge because of physical deconditioning. We excluded individuals who had contraindications to high-intensity resistance training. A total of 150 participants were randomized 1:1 to either 1) a progressive, high-intensity (PHIT) PT intervention or 2) a standardized PT intervention (comparison group). All participants in both groups were assigned to receive 12 visits (3 visits/week over 30 days) in their home.

The primary outcome was gait speed at 60 days. Secondary outcomes included adverse events (rehospitalizations, emergency department visits, falls and deaths after 30 and 60-days), gait speed, modified Physical Performance Test, Timed Up-and-Go, Short Physical Performance Battery, muscle strength, Life-Space Mobility assessment, Veterans RAND 12-item Health Survey, Saint Louis University Mental Status exam, and step counts at 30, 60, 90, 180 days post-randomization.

Results:

There were no differences between groups in gait speed at 60 days, and no significant differences in adverse events between groups at either time point. Similarly, physical performance measures and patient reported outcomes were not different at any time point. Notably, participants in both groups experienced increases in gait speed that met or exceeded established clinically important thresholds.

Conclusions:

Among older adult Veterans with hospital-associated deconditioning and multimorbidity, high-intensity home health PT was safe and effective in improving physical function, but not found to be more effective than a standardized PT program.

Keywords: Veterans, physical therapy, home health, high-intensity, older adults

INTRODUCTION

Hospital-associated deconditioning (HAD) contributes to precipitous declines in physical function in older adults, leading to development of functional deficits,1 loss of independence,2 and increased risk of rehospitalization.3 Older Veterans represent a growing population4 at elevated risk for adverse outcomes after an acute medical event, as this population has lower physical function,5 more physical and mental health comorbidities,6-9 and decreased health-related quality of life7 compared to their age-matched peers.

In institutionalized settings with frail populations, high-intensity resistance training has been shown to improve physical function such as gait speed more than low-intensity resistance training.10 A Cochrane review demonstrated high-intensity resistance training leads to improvements in gait speed, chair rise, muscle strength, and pain.11 High-intensity resistance training using an 8-repetition maximum load (inability to perform additional repetitions due to muscle fatigue),12 has not been evaluated for those recently discharged from the hospital and receiving home health rehabilitation. This is a critical gap, as utilization of home based care continues to increase after medical hospitalizations13 but few guidelines for rehabilitation in these settings exist for those with HAD.14

The purpose of this study was to determine if progressive, high-intensity home health physical therapy (PT) improved physical function more than standardized PT for older adult Veterans with hospital-associated deconditioning. A secondary aim was to evaluate the adverse events. We hypothesized that progressive, high-intensity PT would lead to greater improvements in gait speed (primary outcome), and similar safety profiles when compared to standardized PT at 60-days after hospital or skilled nursing facility (SNF) discharge to home health.

METHODS

Study Design

This was a randomized, single blinded (assessors) controlled trial to evaluate the effectiveness and safety of high-intensity PT for older adult Veterans with multimorbidity referred to home health PT following hospitalization. The two arms were a 1) progressive, high-intensity (PHIT) PT intervention and 2) a standardized PT intervention (comparison group).

Participants

Eligible Veterans were greater than 55 years of age with at least 3 comorbid conditions who were referred for home health PT with deconditioning due to an acute hospitalization or COVID stay-at-home policies.15 Exclusion criteria included inability to walk 10 feet without human assistance or gait speed greater than 1.0 m/s at baseline, contraindications to high-intensity resistance training,12 acute lower extremity fracture with weight-bearing restriction, recent joint replacement surgery, active treatment for cancer, current dialysis treatment, acute cardiac involvement, acute stroke, lower extremity amputation, severe cognitive impairment indicating inability to provide informed consent, hospice care referral, or significant medical complication that precluded safe participation in PT. Veterans’ spouses who were referred to home health PT for deconditioning and met the above criteria were also eligible for enrollment.

Recruitment and Randomization

Of 5022 Veterans and spouses assessed for eligibility, 4809 (96%) did not meet inclusion criteria; of the 213 who met criteria, 135 Veterans and 15 spouses (total 70% of eligible) agreed to participate. Eligible Veterans (n =135) and spouses (n=15) were recruited during an acute care hospitalization from the Rocky Mountain Regional VA Medical Center or UCHealth (University of Colorado Health). Most were enrolled immediately following a hospital stay (n=111), but some Veterans requiring a SNF stay following hospitalization were also enrolled (n=29). Beginning on 08/01/20, Veterans who were comparably deconditioned related to COVID stay-at-home orders were referred by their VA provider (n=10). Following informed consent and within 72 hours of discharge home or referral, the study team conducted baseline assessments in participants’ homes. Following baseline assessment, study coordinator randomized participants to PHIT or comparison group. The 1:1 randomization scheme with random block sizes of four and six16 was prepared by the study biostatistician (JEF). Allocation to assignment was transferred to concealed, sealed envelopes until needed for randomization. A blinded assessor completed follow-up assessments in the home at 30-, 60-, 90-, and 180-days following baseline assessment. Only therapists conducting the home visits, study coordinators, and the home health liaison were aware of group assignment.

Intervention

Trained physical therapists initiated study intervention within 48 hours of randomization. All participants received strengthening exercise, gait training, and functional training. While exercise intensity differed between study arms, prescribed frequency of visits was identical: 12 PT visits (3 visits/week) over 30 days. Brief descriptions are provided below. See supplemental material for more detailed intervention descriptions as guided by the Template for Intervention Description and Replication (TIDieR) checklist (Appendix A).

PHIT Intervention

The strengthening exercise component consisted of 3 sets of progressive high-intensity resistance training (8 repetition maximum load) that targeted lower extremity muscle groups. On non-therapy days, participants were instructed to complete: three body-weight exercises, 10 or 20-minute walking bouts, and log adherence to their home exercise program (Appendix B).

Standardized PT Intervention (Comparison group)

The strengthening exercises did not include weights and participants completed 10 repetitions for any given exercise. On non-therapy days, therapists instructed participants to perform two unweighted open chain exercises for 10 repetitions and to complete a home exercise program log (Appendix C).

Fidelity

All therapists received in-person, intervention-specific training with written and hands-on skill assessments initially and annually thereafter. To ensure protocol adherence, the study team performed quarterly on-site observations, performed documentation audits, and conducted regular conference calls to review issues relating to study protocol.

Outcomes

The primary study outcome was self-selected gait speed as measured by the four-meter walk test (4MWT) at 60 days. We chose 60 days as it coincided with Medicare-based episode of care at trial initiation. Gait speed was selected because it 1) predicts risk of disability, higher health care utilization, and increased mortality;17-19 2) is a meaningful outcome measure in older persons;20 3) is valid and reliable;21,22 and 4) is easily performed in the home.23 Also, in Veteran populations, improvements in gait speed after hospitalization are correlated with reduced disability and health care costs.24 We collected the following descriptive measures at baseline: age; patient-reported gender, race, ethnicity, marital status, height, weight, educational level, Functional Comorbidity Index (FCI)25; and the Patient Activation Measure (PAM-10).26,27

We collected the following secondary outcome measures at baseline, 30, 60, 90 and 180 days following hospitalization: adverse events, the modified Physical Performance Test (mPPT)28,29, the Timed Up-and-Go (TUG)30, Short Physical Performance Battery (SPPB)18, and muscle strength (knee extensors and grip strength). Life Space Mobility assessment (LSM)31 was collected at all times except baseline. Veterans RAND 12-Item Health Survey (VR-12)32 and Saint Louis University Mental Status exam (SLUMS)33 were collected at 60 and 180 days.

ActivPAL (PAL Technologies, Glasgow, Scotland) was used to measure physical activity, including step counts.34,35 Participants wore activPAL for 24 hours/day for 7-10 days at baseline and again at 60-days.

Safety was assessed by evaluating the number of adverse events including rehospitalizations, emergency department visits, falls, and deaths at all timepoints. We collected information on adverse events from the treating therapist’s and outcome assessor’s reports which were audited against medical records.

Power and Sample Size

Statistical power estimates suggested a sample size of 56 participants per group would provide 90% power to detect a between group difference (2-sided, alpha = 0.05 level 2-group t-test). More details are provided in Supplemental Materials.

Statistical Analyses

All analyses assumed a two-sided test of hypothesis, a significance level of 0.05 and were run in SAS v9.4 (SAS Institute, Cary, NC). Demographic and clinical characteristics and outcome measures were compared at baseline using t-tests, chi-square tests and nonparametric tests, as appropriate. The primary analysis was an intent-to-treat (ITT) comparison of the differences between treatment groups in change in gait speed 60 days following initiation of treatment. Statistical inference regarding the difference between treatment groups was based on the estimated coefficient for a treatment group indicator variable in an ANCOVA model with 60-day change in walking speed as the response variable, and explanatory variables that include an indicator of treatment group and baseline gait speed. A similar approach was used for all secondary and tertiary outcomes. Demographic or clinical characteristics that were found to be statistically different between the groups and could plausibly have a confounding effect on the relationship between group and the outcome were included in the models. Cumulative adverse events (falls, ED visits, and hospitalizations) were calculated at 30, 60, 90 and 180 days. The median cumulative number and occurrence (yes/no) of each adverse event at each timepoint were compared using Wilcoxon rank-sum and chi-square tests, respectively. The median cumulative deaths were calculated at 180 days and compared using a Wilcoxon rank-sum test.

RESULTS

Between 4/15/16 and 3/30/21, 150 eligible Veterans were enrolled and randomized to PHIT (n=75) or comparison group (n=75) (Appendix D). The average gait speed for the PHIT group and the comparison group were not significantly different (comparison group= 0.49 m/s, SD=0.19; PHIT=0.50 m/s, SD=0.17, p=0.75). The PHIT group had significantly more female participants (comparison group=8%; PHIT=23%, p=0.01). Baseline characteristics did not significantly differ between groups otherwise (Table 1, Supplementary Table S1).

Table 1.

Demographics and Clinical Measures at Baseline

Characteristic Comparison Group (N=75) PHIT (N=75) p-value
Age 76.7 (8.8)
76.0 (56, 95)
76.6 (9.0)
77.0 (59, 93)
0.90
Gender
  Female 6 (8%) 17 (23%) 0.01
  Male 69 (92%) 58 (77%)
Race (N=149)
  Caucasian 58 (78%) 50 (67%) 0.23
  Black 10 (14%) 18 (24%)
  Other 6 (8%) 7 (9%)
Hispanic (N=143) 7 (10%) 14 (19%) 0.12
Education (N=149)
  Less than High School 5 (7%) 3 (4%) 0.53
  High School Diploma 17 (23%) 23 (31%)
  Some College 21 (28%) 26 (35%)
  Associate’s 10 (14%) 8 (11%)
  Bachelor’s/Master’s/
Doctoral
21 (28%) 15 (20%)
Marital Status (N=140)
  Married/Cohabitating 29 (44%) 33 (45%) 0.84
  Single 6 (9%) 9 (12%)
  Widowed 13 (20%) 16 (22%)
  Divorced/Separated 18 (27%) 16 (22%)
Height (cm) (N=143) 174.2 (8.1) 171.6 (9.7) 0.08
Weight (kg) (N=144) 88.1 (24.5) 84.9 (24.6) 0.44
Functional Comorbidity Index (N=147) 4.5 (2.2)
4 (0, 10)
4.8 (2.1)
5 (0, 10)
0.40
Patient Activation Measure-10 Score (N=140) 60.8 (13.0)
59.3 (40.9, 100)
62.1 (14.0)
59.3 (40.9, 100)
0.57
Patient Activation Measure-10 Level (N=140) 2.7 (0.83)
3 (1, 4)
2.8 (0.86)
3 (1, 4)
0.21

Functional comorbidity index (FCI) scores range from 0-18, with higher scores representing a greater number of comorbidities.

Patient Activation Measure (PAM) scores range from 0 to 100, with higher scores representing higher self-management and understanding of health conditions. PAM Levels are the corresponding sub-categories from 1-4, wherein a higher Level indicates higher patient activation.

There was no statistically significant difference in the estimated 60-day change in gait speed when controlling for baseline gait speed and gender (Supplementary Table S1). The changes were in the hypothesized direction (improvement), but there were also no differences in 60-day change across all other outcomes (Table 2).

Table 2.

Model Estimates for 60-Day Change

Comparison Group PHIT Estimated
Difference in
Change (SE)
p-
value
Model N LS Mean
Change (95%
CI)
N LS Mean
Change (95% CI)
Gait Speed (m/s) 58 0.08 (0.04, 0.12) 59 0.08
(0.04, 012)
−0.0003 (0.03) 0.99
Short Physical Performance Battery 57 1.04 (0.42, 1.65) 58 0.83 (0.22, 1.44) −0.20 (0.44) 0.64
Modified Physical Performance Test 54 2.78 (1.57, 4.00) 54 2.72 (1.50, 3.93) −0.07 (0.87) 0.94
Timed Up and Go 47 −3.20 (−5.85, −0.55) 47 −3.03 (−5.68, −0.38) 0.17 (1.9) 0.93
Knee Extensor Strength, Right (kg) 35 −0.05 (−2.60, 2.50) 41 −0.24 (−2.59, 2.11) −0.19 (1.76) 0.92
Knee Extensor Strength, Left (kg) 34 −0.06 (−2.51, 2.39) 39 −0.80 (−3.09, 1.49) −0.74 (1.7) 0.67
Grip Strength (kg) 52 0.88 (−0.88, 2.64) 52 −1.08 (−2.84, 0.68) −1.96 (1.3) 0.13
Veterans RAND-12 Item Health Survey
  Physical Component Score 58 2.89 (0.44, 5.34) 60 2.45 (0.04, 4.86) −0.44 (1.7) 0.80
  Mental Component Score 58 2.77 (−0.17, 5.71) 59 −0.60 (−3.51, 2.31) −3.37 (2.11) 0.11
St. Louis University Mental Status 57 0.49 (−0.44, 1.43) 58 0.24 (−0.69, 1.17) −0.25 (0.67) 0.71
Life Space Mobility 49 5.18 (0.51, 9.86) 49 7.33 (2.65, 12.0) 2.14 (−4.53, 8.81) 0.53
Step Count 27 309 (−184, 802) 31 628 (169, 1088) 319 (−368, 1006) 0.36

Note. LS=Least-squares; SE=standard error. Modified Physical Performance Test (mPPT) scores range from 0 (unable to complete) to 4 (performed quickly and easily) with a maximum score of 28.

Short Physical Performance Battery (SPPB) scores range from 0-12, with higher scores indicative of better performance.

Veterans RAND-12 Item (VR-12) is summarized into a Physical Component Score (PCS, range 0-100) and a Mental Component Score (MCS, range 0-100), with a higher score indicating a better outcome.

Life Space Mobility scores range from 0 to 120, with higher scores representing greater mobility.

St. Louis University Mental Status examination scores range from 0 to 30. Scores of 27 to 30 are considered normal in a person with a high school education. Scores between 21 and 26 suggest a mild neurocognitive disorder. Scores between 0 and 20 indicate dementia.

There were no significant differences in the median number of falls, ER visits, hospitalizations, or deaths (examined cumulatively) between groups at any timepoint, nor between the occurrence of these adverse events (at least one) at any timepoint (Table 3). Fewer participants experiences falls and hospitalizations in the PHIT group versus the comparison group at 30 days, but this difference was not statistically significant (falls: 19 comparison group participants, 11 PHIT participants; hospitalizations: 16 comparison group, 10 PHIT participants).

Table 3.

Adverse Events

Through
Timepoint
Event Comparison group (N = 75) PHIT (N = 75) Chi-square and
Wilcoxon


p-value
Number of
participants with
at least one
event (%)
Number
median
(range)
Number of
participants with
at least one
event (%)
Number
median
(range)
0-30 Days All falls 19 (25%) 0 (0, 3) 11 (15%) 0 (0, 5) ALO: 0.10
N: 0.15
Falls requiring medical attention 5 (7%) 0 (0, 2) 5 (7%) 0 (0, 2) ALO: >0.99
N: 0.99
ED visits 11 (15%) 0 (0, 2) 11 (15%) 0 (0, 5) ALO: >0.99
N: 0.97
Hospitalizations 16 (21%) 0 (0, 2) 10 (13%) 0 (0, 2) ALO: 0.20
N: 0.19
0-60 Days All falls 25 (33%) 0 (0, 3) 20 (27%) 0 (0, 5) ALO: 0.37
N: 0.36
Falls requiring medical attention 9 (12%) 0 (0, 2) 10 (13%) 0 (0, 2) ALO: 0.81
N: 0.79
ED visits 17 (23%) 0 (0, 2) 19 (25%) 0 (0, 7) ALO: 0.70
N: 0.56
Hospitalizations 20 (27%) 0 (0, 3) 20 (27%) 0 (0, 2) ALO: >0.99
N: 0.88
0-90 Days All falls 26 (35%) 0 (0, 3) 24 (32%) 0 (0, 5) ALO: 0.73
N: 0.74
Falls requiring medical attention 10 (13%) 0 (0, 2) 11 (15%) 0 (0, 2) ALO: 0.81
N: 0.77
ED visits 23 (31%) 0 (0, 2) 21 (28%) 0 (0, 7) ALO: 0.72
N: >0.99
Hospitalizations 22 (29%) 0 (0, 4) 22 (29%) 0 (0, 2) ALO: >0.99
N: 0.67
0-180 Days All falls 35 (47%) 0 (0, 11) 31 (41%) 0 (0, 11) ALO: 0.51
N: 0.93
Falls requiring medical attention 15 (20%) 0 (0, 3) 18 (24%) 0 (0, 2) ALO: 0.55
N: 0.56
ED visits 33 (44%) 0 (0, 5) 30 (40%) 0 (0, 7) ALO: 0.62
N: 0.73
Hospitalizations 30 (40%) 0 (0, 6) 33 (44%) 0 (0, 5) ALO: 0.62
N: 0.85
Deaths 7 (9%) - 2 (3%) - 0.17a

Note. All subjects are included in all denominators as the total counts are cumulative.

Abbreviation: ALO, at least one.

a

Fisher’s exact test.

Fidelity:

Out of 12 possible PT home visits, PHIT participants had a mean of 10.4 (SD 2.9) visits; strengthening exercises and ADL training; motor control training exercises were completed in > 80% of sessions. UC participants had a mean of 9.9 (SD 3.6) visits which included therapeutic exercises, gait training, and review of home exercise programs. ADL training occurred less frequently during sessions (55%). Additional fidelity results are reported in Supplemental Materials.

DISCUSSION

Overall, our results indicate that both PHIT and standardized PT interventions were associated with clinically significant improvements in physical function, but no group differences in primary or secondary outcomes at 60 days were observed. Reassuringly, the safety profile of both interventions was similar. Overall, our findings indicate high-intensity PT rehabilitation immediately following acute hospitalization is safe to implement among, older adult Veterans with hospital-associated deconditioning and multimorbidity in the home health setting.

Prior work indicates high-intensity approaches are efficacious for older adults.11,36 The current findings extend this work by showing that safety does not differ between high-intensity and standard PT among older adults with multimorbidity who were recently hospitalized. Both interventions resulted in similar increases in gait speed and SPPB scores, which approached or exceeded established minimally clinically important difference (MCID) values (MCID for gait speed=0.1 meters/second; MCID for SPPB=1.0 point).37

There are several potential explanations for the lack of differences between groups. First, the comparison group received a standardized, multicomponent protocol with equivalent frequency comparable to the high-intensity group, which may have diluted the effects of the PHIT intervention. Additionally, the amount of PT visits may allow for a large enough dose to see differences between high and low-intensity interventions, especially in the absence of robust adherence with unsupervised home exercise. We believe the relatively low overall home exercise adherence could have attenuated the potential gains. In contrast, using a higher volume of high-intensity exercise (daily PT session for at least 60 minutes 5 days per week), with a comparable sample of older adults with multimorbidity in SNF found greater gains in function; this approach may also be needed to achieve superior high-intensity outcomes in the home health setting.38 Finally, we speculate that because both groups received front-loaded PT and a greater number of overall home health rehabilitation visits than typical, these elements may be key for rehabilitation in this population.

Strengths and Limitations

Our study has several strengths. First, this randomized clinical trial was conducted in a real-world home health care setting and was completed with high fidelity despite challenges associated with the COVID-19 pandemic. Furthermore, the target Veteran population included individuals with hospital-associated deconditioning and multimorbidity who are often difficult to study. Our study is not without limitations. First, patients were recruited from a variety of settings (e.g., hospital, SNF, home) which may have captured patients at different phases in their acute illness recovery. The analytic sample includes a small number of participants (n=10) with pandemic related deconditioning which introduces heterogeneity, however these participants were balanced across groups (n=5 comparison group, n=5 PHIT). Second, despite our best efforts and encouragement, home exercises logs were poorly completed by patients, and thus it was difficult to ascertain overall compliance. Last, our sample size is relatively small39 from a single geographic region, which may limit precision and generalizability.

CONCLUSIONS

For Veterans with hospital-associated deconditioning and multimorbidity who received home health PT for deconditioning, high-intensity PT was safe but not more effective than standardized PT in improving function. We also observed potential protective effects of PHIT PT early after hospitalization, which need to be replicated in future studies.

Supplementary Material

SupinfoS1
SupinfoS2

The supplemental materials include additional details regarding methods and results. For methods, we provide details regarding study design, detailed descriptions of the PHIT intervention and standardized PT intervention (comparison group), and additional details regarding our power and sample size calculation. For results, we present additional fidelity results and a supplementary table detailing outcomes at baseline of the comparison and PHIT groups (Supplementary Table S1).

Key points:

  • For older adult Veterans with hospital-associated deconditioning and multimorbidity who received home health PT for deconditioning, high-intensity home health PT was safe and effective in improving physical function, but not more effective than a standardized PT program.

  • Participants in both groups experienced increases in gait speed (primary outcome) that met or exceeded established clinically important thresholds.

  • Future investigation is warranted as individual patient factors, consolidation of PT visits into one month, higher frequency of PT visits post-hospitalization, and home exercise program compliance may have impacted the current study results.

Why does this matter:

  • High-intensity PT can be implemented in home health settings among Veterans with hospital-associated deconditioning and multimorbidity without concerns regarding safety, and with comparable effectiveness to standardized PT. Further work should explore characteristics of responders and non- responders to high-intensity PT to better direct rehabilitation intervention priorities.

ACKNOWLEDGEMENTS

The authors would like to extend a sincere thank you toBerkley Home Health Care in Denver, Colorado and theColorado Visiting Nurse Association for their invaluablesupport of this study through their agencies. The authorswould also like to thank the following individuals fortheir contributions to this work: Julie Anderson, PT,DPT, Tanya Budnikova, MBA, Mike Gummerson, PT,Megan Mitchell, PT, Sridharan Raghavan, MD, PhD,Jared Poole, PT, DPT, Gary Ruvins, JD, MBA, DerekSmith, PT, DPT, Peter Torberntsson, MD, and David Wil-liams, PT, DPT.

Funding sources:

  • VA RR&D RX003770 (Stevens-Lapsley)

  • NIH T32AG000279 (Falvey, Stutzbach)

  • Promotion of Doctoral Studies (PODS I & II) scholarship (Falvey)

  • Dr. Falvey was supported by funding from the National Institute on Aging (NIA) during the conduct of this work (F31 AG056069; K76AG074926).

  • Dr. Forster reports funding from VA, DOD and NIH during the conduct of this work.

  • Dr. Burke reports funding from the VA HSR&D, AHRQ, and NIH during the conduct of this work.

  • Dr. Butera reports funding from the National Institutes of Health/National Center for Advancing Translational Sciences (NIH/NCATS) Colorado Clinical and Translational Science Award (CTSA) [TL1 TR002533] during the conduct of this work.

  • Dr. Stevens-Lapsley reports funding from VA, AHRQ, and NIH during the conduct of this work.

Footnotes

Conflict of interest:

Dr. Falvey receives royalties from Medbridge Inc for development of continuing education course content related to hospital readmissions. Dr. Burke is an advisory board member for Mighty Technologies Inc, who played no role in the current study. The other authors have no conflicts.

Sponsor’s role: None.

References

  • 1.Huang CH, Hsu CC, Yu PC, Peng LN, Lin MH, Chen LK. Hospitalization-associated muscle weakness and functional outcomes among oldest old patients: A hospital-based cohort study. Exp Gerontol. Jul 15 2021;150:111353. doi: 10.1016/j.exger.2021.111353 [DOI] [PubMed] [Google Scholar]
  • 2.Covinsky KE, Palmer RM, Fortinsky RH, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. Journal of the American Geriatrics Society. 2003;51(4):451–458. [DOI] [PubMed] [Google Scholar]
  • 3.Kortebein P. Rehabilitation for hospital-associated deconditioning. American journal of physical medicine & rehabilitation. 2009;88(1):66–77. [DOI] [PubMed] [Google Scholar]
  • 4.Kinosian B, Stallard E, Wieland D. Projected use of long-term-care services by enrolled veterans. The Gerontologist. 2007;47(3):356–364. [DOI] [PubMed] [Google Scholar]
  • 5.Peterson MJ, Crowley GM, Sullivan RJ, Morey MC. Physical function in sedentary and exercising older veterans as compared to national norms. Journal of rehabilitation research and development. 2004;41:653–658. [DOI] [PubMed] [Google Scholar]
  • 6.Frayne SM, Parker VA, Christiansen CL, et al. Health status among 28,000 women veterans. Journal of general internal medicine. 2006;21(S3):S40–S46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Selim AJ, Berlowitz DR, Fincke G, et al. The health status of elderly veteran enrollees in the Veterans Health Administration. Journal of the American Geriatrics Society. 2004;52(8):1271–1276. [DOI] [PubMed] [Google Scholar]
  • 8.Yu W, Ravelo A, Wagner TH, et al. Prevalence and Costs of Chronic Conditions in the VA Health Care System. Medical Care Research and Review. 2003;60(3):146–167. doi: 10.1177/1077558703257000 [DOI] [PubMed] [Google Scholar]
  • 9.Amsalem D, Lazarov A, Markowitz JC, Gorman D, Dixon LB, Neria Y. Increasing treatment-seeking intentions of US veterans in the Covid-19 era: A randomized controlled trial. Depression and anxiety. 2021;38(6):639–647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sahin UK, Kirdi N, Bozoglu E, et al. Effect of low-intensity versus high-intensity resistance training on the functioning of the institutionalized frail elderly. International journal of rehabilitation research. 2018;41(3):211–217. [DOI] [PubMed] [Google Scholar]
  • 11.Liu Cj, Latham NK. Progressive resistance strength training for improving physical function in older adults. Cochrane database of systematic reviews. 2009;(3) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Pescatello LS AR, Rieve D, Thompson PD. ACSM's Guidelines for Exercise Testing and Prescription. 9 ed. Wolters Kluwer/Lippincott Williams & Wilkins; 2014. [Google Scholar]
  • 13.Sterling MR, Kern LM, Safford MM, et al. Home Health Care Use and Post-Discharge Outcomes After Heart Failure Hospitalizations. JACC Heart Fail. Dec 2020;8(12):1038–1049. doi: 10.1016/j.jchf.2020.06.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Falvey JR, Mangione KK, Stevens-Lapsley JE. Rethinking Hospital-Associated Deconditioning: Proposed Paradigm Shift. Phys Ther. Sep 2015;95(9):1307–15. doi: 10.2522/ptj.20140511 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Moreland A, Herlihy C, Tynan MA, et al. Timing of State and Territorial COVID-19 Stay-at-Home Orders and Changes in Population Movement - United States, March 1-May 31, 2020. MMWR Morb Mortal Wkly Rep. Sep 4 2020;69(35):1198–1203. doi: 10.15585/mmwr.mm6935a2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Meinert CL. Clinical Trials: design, conduct and analysis. vol 39. OUP; USA; 1986. [Google Scholar]
  • 17.Cesari M, Kritchevsky SB, Penninx BWHJ, et al. Prognostic value of usual gait speed in well-functioning older people-results from the health, aging and body composition study. Journal of the American Geriatrics Society. Oct 2005;53(10):1675–1680. doi:DOI 10.1111/j.1532-5415.2005.53501.x [DOI] [PubMed] [Google Scholar]
  • 18.Guralnik JM, Simonsick EM, Ferrucci L, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. Mar 1994;49(2):M85–94. doi: 10.1093/geronj/49.2.m85 [DOI] [PubMed] [Google Scholar]
  • 19.Guralnik JM, Ferrucci L, Simonsick EM, Salive ME, Wallace RB. Lower-Extremity Function in Persons over the Age of 70 Years as a Predictor of Subsequent Disability. New Engl J Med. Mar 2 1995;332(9):556–561. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Mudge S, Barber PA, Stott NS. Circuit-based rehabilitation improves gait endurance but not usual walking activity in chronic stroke: a randomized controlled trial. Archives of physical medicine and rehabilitation. Dec 2009;90(12):1989–96. doi:S0003-9993(09)00680-7 [pii] 10.1016/j.apmr.2009.07.015 [DOI] [PubMed] [Google Scholar]
  • 21.Jette AM, Jette DU, Ng J, Plotkin DJ, Bach MA. Are performance-based measures sufficiently reliable for use in multicenter trials? Musculoskeletal Impairment (MSI) Study Group. J Gerontol A Biol Sci Med Sci. Jan 1999;54(1):M3–6. doi: 10.1093/gerona/54.1.m3 [DOI] [PubMed] [Google Scholar]
  • 22.Bohannon RW. Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. Age Ageing. Jan 1997;26(1):15–9. doi: 10.1093/ageing/26.1.15 [DOI] [PubMed] [Google Scholar]
  • 23.Mangione KK, Craik RL, Palombaro KM, Tomlinson SS, Hofmann MT. Home-Based Leg-Strengthening Exercise Improves Function 1 Year After Hip Fracture: A Randomized Controlled Study. Journal of the American Geriatrics Society. Oct 2010;58(10):1911–1917. doi:DOI 10.1111/j.1532-5415.2010.03076.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Purser JL, Weinberger M, Cohen HJ, et al. Walking speed predicts health status and hospital costs for frail elderly male veterans. Journal of rehabilitation research and development. 2005;42(4):535. [DOI] [PubMed] [Google Scholar]
  • 25.Groll DL, To T, Bombardier C, Wright JG. The development of a comorbidity index with physical function as the outcome. J Clin Epidemiol. Jun 2005;58(6):595–602. doi: 10.1016/j.jclinepi.2004.10.018 [DOI] [PubMed] [Google Scholar]
  • 26.Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. Aug 2004;39(4 Pt 1):1005–26. doi: 10.1111/j.1475-6773.2004.00269.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Skolasky RL, Green AF, Scharfstein D, Boult C, Reider L, Wegener ST. Psychometric properties of the patient activation measure among multimorbid older adults. Health Serv Res. Apr 2011;46(2):457–78. doi: 10.1111/j.1475-6773.2010.01210.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Brown M, Sinacore DR, Binder EF, Kohrt WM. Physical and performance measures for the identification of mild to moderate frailty. J Gerontol A Biol Sci Med Sci. Jun 2000;55(6):M350–5. doi: 10.1093/gerona/55.6.m350 [DOI] [PubMed] [Google Scholar]
  • 29.Addison O, Kundi R, Ryan AS, et al. Clinical relevance of the modified physical performance test versus the short physical performance battery for detecting mobility impairments in older men with peripheral arterial disease. Disabil Rehabil. Dec 2018;40(25):3081–3085. doi: 10.1080/09638288.2017.1367966 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. Feb 1991;39(2):142–8. doi: 10.1111/j.1532-5415.1991.tb01616.x [DOI] [PubMed] [Google Scholar]
  • 31.Baker PS, Bodner EV, Allman RM. Measuring life-space mobility in community-dwelling older adults. J Am Geriatr Soc. Nov 2003;51(11):1610–4. doi: 10.1046/j.1532-5415.2003.51512.x [DOI] [PubMed] [Google Scholar]
  • 32.Selim AJ, Rothendler JA, Qian SX, Bailey HM, Kazis LE. The History and Applications of the Veterans RAND 12-Item Health Survey (VR-12). J Ambul Care Manage. Jul-Sep 01 2022;45(3):161–170. doi: 10.1097/jac.0000000000000420 [DOI] [PubMed] [Google Scholar]
  • 33.Szcześniak D, Rymaszewska J. The usfulness of the SLUMS test for diagnosis of mild cognitive impairment and dementia. Psychiatr Pol. 2016;50(2):457–72. Przydatność testu SLUMS w diagnostyce łagodnych zaburzeń poznawczych i otępień. doi: 10.12740/PP/OnlineFirst/43141 [DOI] [PubMed] [Google Scholar]
  • 34.Dowd KP, Harrington DM, Donnelly AE. Criterion and concurrent validity of the activPAL professional physical activity monitor in adolescent females. PLoS One. 2012;7(10):e47633. doi: 10.1371/journal.pone.0047633 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ryan CG, Grant PM, Tigbe WW, Granat MH. The validity and reliability of a novel activity monitor as a measure of walking. Br J Sports Med. Sep 2006;40(9):779–84. doi: 10.1136/bjsm.2006.027276 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Borde R, Hortobágyi T, Granacher U. Dose-Response Relationships of Resistance Training in Healthy Old Adults: A Systematic Review and Meta-Analysis. Sports Med. Dec 2015;45(12):1693–720. doi: 10.1007/s40279-015-0385-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc. May 2006;54(5):743–9. doi: 10.1111/j.1532-5415.2006.00701.x [DOI] [PubMed] [Google Scholar]
  • 38.Gustavson AM, Malone DJ, Boxer RS, Forster JE, Stevens-Lapsley JE. Application of High-Intensity Functional Resistance Training in a Skilled Nursing Facility: An Implementation Study. Phys Ther. Sep 28 2020;100(10):1746–1758. doi: 10.1093/ptj/pzaa126 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kitzman DW, Whellan DJ, Duncan P, et al. Physical Rehabilitation for Older Patients Hospitalized for Heart Failure. N Engl J Med. Jul 15 2021;385(3):203–216. doi: 10.1056/NEJMoa2026141 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

SupinfoS1
SupinfoS2

The supplemental materials include additional details regarding methods and results. For methods, we provide details regarding study design, detailed descriptions of the PHIT intervention and standardized PT intervention (comparison group), and additional details regarding our power and sample size calculation. For results, we present additional fidelity results and a supplementary table detailing outcomes at baseline of the comparison and PHIT groups (Supplementary Table S1).

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