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Bansal K, Fox EJ, Clark D, Fulk G, Rose DK. Speed- and Endurance-Based Classifications of Community Ambulation Post-Stroke Revisited: The Importance of Location in Walking Performance Measurement. Neurorehabil Neural Repair 2024:15459683241257521. [PMID: 38813947 DOI: 10.1177/15459683241257521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
BACKGROUND Gait speed or 6-minute walk test are frequently used to project community ambulation abilities post-stroke by categorizing individuals as household ambulators, limited, or unlimited community ambulators. However, whether improved clinically-assessed gait outcomes truly translate into enhanced real-world community ambulation remains uncertain. OBJECTIVE This cross-sectional study aimed to examine differences in home and community ambulation between established categories of speed- and endurance-based classification systems of community ambulation post-stroke and compare these with healthy controls. METHODS Sixty stroke survivors and 18 healthy controls participated. Stroke survivors were categorized into low-speed, medium-speed, or high-speed groups based on speed-based classifications and into low-endurance, medium-endurance, or high-endurance groups based on the endurance-based classification. Home and community steps/day were quantified using Global Positioning System and accelerometer devices over 7 days. RESULTS The low-speed groups exhibited fewer home and community steps/day than their medium- and high-speed counterparts (P < .05). The low-endurance group took fewer community steps/day than the high-endurance group (P < .05). Despite vast differences in clinical measures of gait speed and endurance, the medium-speed/endurance groups did not differ in their home and community steps/day from the high-speed/endurance groups, respectively. Stroke survivors took 48% fewer home steps/day and 77% fewer community steps/day than healthy controls. CONCLUSIONS Clinical classification systems may only distinguish home ambulators from community ambulators, but not between levels of community ambulation, especially beyond certain thresholds of gait speed and endurance. Clinicians should use caution when predicting community ambulation status through clinical measures, due to the limited translation of these classification systems into the real world.
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Affiliation(s)
- Kanika Bansal
- Department of Physical Therapy, University of Mount Union, Alliance, OH, USA
- Department of Physical Therapy, University of Florida, Gainesville, FL, USA
| | - Emily J Fox
- Department of Physical Therapy, University of Florida, Gainesville, FL, USA
- Brooks Rehabilitation Clinical Research Center, Jacksonville, FL, USA
| | - David Clark
- Brain Rehabilitation Research Center, Malcolm Randall VAMC, Gainesville, FL, USA
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - George Fulk
- Division of Physical Therapy, Emory University School of Medicine, Atlanta, GA, USA
| | - Dorian K Rose
- Department of Physical Therapy, University of Florida, Gainesville, FL, USA
- Brooks Rehabilitation Clinical Research Center, Jacksonville, FL, USA
- Brain Rehabilitation Research Center, Malcolm Randall VAMC, Gainesville, FL, USA
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Figueiredo PRP, Silva LP, Nóbrega RADA, Coster WJ, Sampaio RF, Brandão MDB, Mancini MC. Geographic intelligence to investigate community participation: a scoping review. Disabil Rehabil 2023; 45:4503-4516. [PMID: 36503323 DOI: 10.1080/09638288.2022.2154859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE To understand the applicability and unique contributions of global positioning system (GPS) and geographic information system (GIS) technologies to investigate individuals' participation in the community. METHODS A scoping review was conducted to summarize studies that employed GPS and/or GIS to assess community participation. Systematic literature searches were performed using nine electronic databases, up to April 2022. Two independent reviewers screened studies for eligibility and extracted data from the selected studies. RESULTS The searches retrieved 628 articles, of which 36 met the inclusion criteria. In 31 studies, a GPS unit or GPS-enabled device monitored the community mobility of individuals with different health conditions. Tracking periods varied from five hours to 30 consecutive days. The spatiotemporal parameters obtained from satellite-based data provided information about individuals' presence in the community. Most studies combined GPS with other measuring tools (self-report diaries/questionnaires, qualitative interviews) to capture a broader description of community participation. CONCLUSIONS GPS and GIS are viable approaches for advancing research as they provide unique information about community participation not easily captured by other methods. The combination of available methods comprehensively address the physical and social dimensions of this construct.IMPLICATIONS FOR REHABILITATIONGlobal positioning system (GPS) and geographic information system (GIS) technology allows direct and real-time quantification of patterns of individuals' community mobility.The geographic area where individuals participate in daily living activities complements information from self-report diaries/questionnaires.Combining GPS technology with self-report diaries/questionnaires allows a broader description of individuals' community participation, addressing respectively both its physical and social dimensions.Knowledge of individuals' access to and involvement in community locations/situations may help therapists design interventions to improve community participation.
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Affiliation(s)
| | | | | | - Wendy Jane Coster
- Department of Occupational Therapy, College of Health & Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA
| | - Rosana Ferreira Sampaio
- Graduate Program in Rehabilitation Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Marina de Brito Brandão
- Department of Occupational Therapy, Graduate Program in Rehabilitation Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Marisa Cotta Mancini
- Graduate Program in Rehabilitation Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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3
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Bansal K, Clark DJ, Fox EJ, Rose DK. Sympathetic nervous system responses during complex walking tasks and community ambulation post-stroke. Sci Rep 2023; 13:20068. [PMID: 37974001 PMCID: PMC10654447 DOI: 10.1038/s41598-023-47365-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023] Open
Abstract
Stroke survivors frequently report increased perceived challenge of walking (PCW) in complex environments, restricting their daily ambulation. PCW is conventionally measured through subjective questionnaires or, more recently, through objective quantification of sympathetic nervous system activity during walking tasks. However, how these measurements of PCW reflect daily walking activity post-stroke is unknown. We aimed to compare the subjective and objective assessments of PCW in predicting home and community ambulation. In 29 participants post-stroke, we measured PCW subjectively with the Activities-specific Balance Confidence (ABC) Scale and objectively through electrodermal activity, quantified by change in skin conductance levels (SCL) and skin conductance responses (SCR) between outdoor-complex and indoor-steady-state walking. High-PCW participants were categorized into high-change SCL (ΔSCL ≥ 1.7 μs), high-change SCR (ΔSCR ≥ 0.2 μs) and low ABC (ABC < 72%) groups, while low-PCW participants were categorized into low-change SCL (ΔSCL < 1.7 μs), low-change SCR (ΔSCR < 0.2 μs) and high-ABC (ABC ≥ 72%) groups. Number and location of daily steps were quantified with accelerometry and Global Positioning System devices. Compared to low-change SCL group, the high-change SCL group took fewer steps in home and community (p = 0.04). Neither ABC nor SCR groups differed in home or community steps/day. Objective measurement of PCW via electrodermal sensing more accurately represents home and community ambulation compared to the subjective questionnaire.
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Affiliation(s)
- Kanika Bansal
- Department of Physical Therapy, University of Mount Union, 1972, Clark Ave, Alliance, OH, 44601-3993, USA.
| | - David J Clark
- University of Florida, Gainesville, FL, USA
- Brain Rehabilitation Research Center, Malcolm Randall Veterans Affair Medical Center, Gainesville, FL, USA
| | - Emily J Fox
- University of Florida, Gainesville, FL, USA
- Brooks Rehabilitation, Jacksonville, FL, USA
| | - Dorian K Rose
- University of Florida, Gainesville, FL, USA
- Brain Rehabilitation Research Center, Malcolm Randall Veterans Affair Medical Center, Gainesville, FL, USA
- Brooks Rehabilitation, Jacksonville, FL, USA
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Okon M, Blum B, Nathaniel TI. Risk factors and ambulatory outcome in ischemic stroke patients with pre-stroke depression. JOURNAL OF VASCULAR NURSING 2021; 39:91-99. [PMID: 34865727 DOI: 10.1016/j.jvn.2021.07.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 04/25/2021] [Accepted: 07/19/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE It is well known that post-stroke depression might be a negative factor for stroke recovery, however there is limited evidence to establish the link between pre-stroke depression and stroke outcome such motor recovery. The objective is to determine clinical risk factors in ischemic stroke patients with pre-stroke depression that are associated functional ambulatory outcome. METHODS Data from acute ischemic patients from a regional stroke registry were collected for consecutive recombinant tissue plasminogen activator(rtPA)-treated acute ischemic stroke patients between January 2010 and June 2016. Logistic regression model was used to predict risk factors that served as predictive variables, while the increase or reduce odds of improvement in ambulatory outcome was considered as the primary outcome. Multicollinearity and possible interactions among the independent variables were analyzed using the variance inflation factor. RESULTS A total of 1446 patients were eligible for recombinant tissue plasminogen activator (rtPA) and 596 of these patients received rtPA. Of the 596 ischemic stroke patients, 286 patients presented with recent pre-stroke depression, 310 had no pre-stroke depression. Carotid artery stenosis (OR = 11.577, 95% CI, 1.281-104.636, P = 0.029) and peripheral vascular disease (OR = 18.040, 95% CI, 2.956-110.086, P = 0.002) were more likely to be associated with increase odds of improvement in ambulation in patients with no pre-stroke depression treated with rtPA, while antihypertensive medications (OR = 0.192, 95% CI, 0.035-1.067, P = 0.050),previous TIA (OR = 0.177, 95% CI, 0.038-0.818, P = 0.027), and congestive heart failure (OR = 0. 0.160, 95% CI, 0.030-0.846, P = 0.031) were associated with reduced odds of improvement in ambulation. In addition, carotid artery stenosis (OR = 0.078, 95% CI, 0.10-0.614, P = 0.015, congestive heart failure (OR = 0.217, 95% CI, 0.318-0.402, P = 0.030), previous TIA (OR = 0.444, 95% CI, 0.517-0.971, P = 0.012), higher NIHSS scores ((OR = 0.887, 95% CI, 0.830-0.948, P < 0.001), and antihypertensive medications (OR = 0.810, 95% CI, 0.401-0.529, P = 0.019) were associated with the reduced odd of improvement in ambulation in an ischemic stroke population with pre-stroke depression treated with rtPA. CONCLUSION Our findings indicate that more risk factors were associated with the decreased odds of an improvement in ambulation following thrombolytic therapy in an ischemic stroke population with pre-stroke depression when compared with those without pre-stroke depression. This finding maybe helpful in the development of management strategies to increase the use of thrombolytic therapy for pre-stroke depressed ischemic stroke to increased their eligibility for rtPA.
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Affiliation(s)
- Marvin Okon
- Department of Public Health, Clemson University, Clemson, SC 29631
| | - Brice Blum
- University of South Carolina School of Medicine, School of Medicine-Greenville, Greenville, SC 29605, USA
| | - Thomas I Nathaniel
- University of South Carolina School of Medicine, School of Medicine-Greenville, Greenville, SC 29605, USA.
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Brauer SG, Kuys SS, Paratz JD, Ada L. High-intensity treadmill training and self-management for stroke patients undergoing rehabilitation: a feasibility study. Pilot Feasibility Stud 2021; 7:215. [PMID: 34876235 PMCID: PMC8650326 DOI: 10.1186/s40814-021-00941-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 10/29/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Physical activity undertaken by stroke survivors is generally low. This trial investigated the feasibility of delivering a high-intensity treadmill and self-management program to people with stroke undergoing inpatient rehabilitation and determine whether physical activity, walking ability and cardiorespiratory fitness could be increased. METHOD A phase I, single-group, pre-post intervention study was conducted with stroke survivors undergoing inpatient rehabilitation who could walk. Participants undertook a high-intensity treadmill and self-management program for up to 30 min, three times a week for 8 weeks under the supervision of their usual physiotherapist. Feasibility was determined by examining compliance, satisfaction and adverse events. Clinical outcomes were amount of physical activity, walking ability, and cardiorespiratory fitness collected pre-training (week 0), post-training (week 8), and at follow-up (week 26). RESULTS Forty stroke survivors participated, completing 10 (SD 6) sessions, 94% at the specified training intensity, with high satisfaction and no adverse events related to the intervention. At week 8, participants completed 2749 steps/day (95% CI 933 to 4564) more physical activity than at week 0. Walking distance increased by 110 m (95% CI 23 to 196), walking speed by 0.24 m/s (95% CI 0.05 to 0.42), and VO2 peak by 0.29 ml/kg/min (95% CI 0.03 to 0.56). At week 26, increases in physical activity, walking distance and speed, and cardiorespiratory fitness were maintained. CONCLUSIONS A high-intensity treadmill training program embedded within a self-management approach during inpatient rehabilitation appears feasible and potentially may offer sustained improvements in physical activity, walking ability, fitness, and quality of life. A randomised trial is warranted. TRIAL REGISTRATION This feasibility study was registered with the Australian New Zealand Clinical Trials Registry ( ACTRN12613000764730 ).
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Affiliation(s)
- Sandra G Brauer
- Discipline of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Queensland, Australia.
| | - Suzanne S Kuys
- School of Physiotherapy, Australian Catholic University, Banyo, Queensland, Australia
| | - Jennifer D Paratz
- Burns, Trauma and Critical Care Research Centre, University of Queensland, Brisbane, Queensland, Australia.,School of Allied Health Sciences, Griffith University, Southport, Queensland, Australia
| | - Louise Ada
- Discipline of Physiotherapy, Faculty of Health Sciences, The University of Sydney, Sydney, Australia
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Hug A, Spingler T, Hensel C, Fichtner S, Daniel T, Heutehaus L, Wensing M, Rupp R, Weidner N. Goal attainment in mobility after acute rehabilitation of mobility-restricting paralysis syndromes with regard to the ambulatory therapeutic level of participation NeuroMoves : A German national multicenter observational cohort study. BMC Neurol 2021; 21:149. [PMID: 33827462 PMCID: PMC8025358 DOI: 10.1186/s12883-021-02167-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 03/23/2021] [Indexed: 11/24/2022] Open
Abstract
Background A central goal of rehabilitation in patients with paralysis syndromes after stroke or spinal cord injury (SCI) is to restore independent mobility as a pedestrian or wheelchair user. However, after acute rehabilitation, the mobility frequently deteriorates in the ambulatory setting, despite the delivery of rehabilitative interventions such as physical therapy or the prescription of assistive devices. The aim of the NeuroMoves study is to identify factors that are associated with changes of mobility in the ambulatory setting after acute inpatient rehabilitation, with a particular focus on participation according to the ICF (International Classification of Functioning, Disability and Health). Methods The NeuroMoves study is intended as a national multicenter observational cohort study with 9 clinical sites in Germany. A total of 500 patients with mobility-restricting paralysis syndromes (i.e. stroke or SCI) are to be recruited during acute inpatient rehabilitation prior to discharge to the ambulatory setting. Patients will have 8 months of follow-up in the ambulatory setting. Three study visits at the clinical sites (baseline, midterm, and final) are planned at 4-months intervals. The baseline visit is scheduled at the end of the acute inpatient rehabilitation. During the visits, demographical data, neurological, functional, quality of life, and implementation measures will be assessed. At baseline, each study participant receives an activity tracker (sensor for recording ambulatory mobility) along with a tablet computer for home use over the 8 months study duration. While mounted, the activity tracker records mobility data from which the daily distance covered by walking or wheelchair use can be calculated. Customized applications on the tablet computer remind the study participants to answer structured questionnaires about their health condition and treatment goals for physical therapy. Using the study participants’ tablet, therapists will be asked to answer structured questionnaires concerning treatment goals and therapeutic measures they have applied. The primary analysis concerns the association between mobility (daily distance covered) and the degree of participation-oriented rehab interventions. Further exploratory analyses are planned. Discussion The findings could inform healthcare decision-making regarding ambulatory care in Germany focusing on mobility-promoting interventions for patients with mobility-restricting paralysis syndromes. Study registration German Clinical Trials Register, DRKS-ID: DRKS00020487 (18.02.2020). Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02167-y.
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Affiliation(s)
- Andreas Hug
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany.
| | - Tamara Spingler
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | - Cornelia Hensel
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | - Stefan Fichtner
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | - Tiziana Daniel
- Department of General Practice and Health Services Research, Heidelberg University Hospital, Heidelberg, Germany
| | - Laura Heutehaus
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | - Michel Wensing
- Department of General Practice and Health Services Research, Heidelberg University Hospital, Heidelberg, Germany
| | - Rüdiger Rupp
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | - Norbert Weidner
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
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Examining the relationship between community mobility and participation using GPS and self-report data. Soc Sci Med 2020; 265:113539. [PMID: 33234453 DOI: 10.1016/j.socscimed.2020.113539] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 08/20/2020] [Accepted: 11/16/2020] [Indexed: 01/17/2023]
Abstract
Higher levels of community mobility have been shown to be associated with better physical health, mental health, and quality of life. The ability to move about one's community is also expected to facilitate community participation, which is an aspect of health functioning. This study uses Global Positioning Systems (GPS) technology to track various dimensions of community mobility, such as destinations, time outside the home, and distance traveled, and examine the relationship between these variables and community participation in a sample of individuals with serious mental illnesses (SMI). This population was selected because they are known to have diminished health functioning in terms of their community participation, and the goal is to explore the extent to which mobility limitations may account for this. A total of 103 individuals with serious mental illnesses were recruited from mental health agencies and consented to having their mobility tracked using GPS for 13 days and answering questions about their community-based activities. Greater amount of participation was associated with having more destinations and spending more time out of the house, but not with traveling larger distances and having a greater activity space. None of the mobility variables were related to the number of important participation areas or sufficiency of participation. The findings support the hypothesis that greater mobility is related to more participation, although satisfaction with the degree to which one participates does not appear to be impacted, suggesting that other factors need to be accounted for. Health policymakers and providers should pay attention to community mobility as a factor that affects health outcomes such as participation, in individuals with serious mental illnesses, and other populations. In particular, attending to access to personal transport, public transportation, and other mobility options appears to be important, as well as interventions aimed at encouraging greater community mobility.
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8
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Handlery R, Fulk G, Pellegrini C, Stewart JC, Monroe C, Fritz S. Stepping After Stroke: Walking Characteristics in People With Chronic Stroke Differ on the Basis of Walking Speed, Walking Endurance, and Daily Steps. Phys Ther 2020; 100:807-817. [PMID: 31995194 DOI: 10.1093/ptj/pzaa020] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 07/01/2019] [Accepted: 10/06/2019] [Indexed: 11/15/2022]
Abstract
BACKGROUND What contributes to free-living walking after stroke is poorly understood. Studying the characteristics of walking may provide further details that guide interventions. OBJECTIVE The objectives of this study were to examine how the walking characteristics of bouts per day, median steps per bout, maximum steps per bout, and time spent walking differ in individuals with various walking speeds, walking endurance, and daily steps and to identify cutoffs for differentiating ambulators who were active versus inactive. DESIGN This study involved a cross-sectional analysis of data from the Locomotor Experience Applied Post-Stroke trial. METHODS Participants were categorized by walking speed, walking endurance (via the 6-minute walk test), and daily steps (via 2 consecutive days of objective activity monitoring). Differences in walking characteristics were assessed. Linear regression determined which characteristics predicted daily step counts. Receiver operating characteristic curves and areas under the curve were used to determine which variable was most accurate in classifying individuals who were active (≥5500 daily steps). RESULTS This study included 252 participants with chronic stroke. Regardless of categorization by walking speed, walking endurance, or daily steps, household ambulators had significantly fewer bouts per day, steps per bout, and maximum steps per bout and spent less time walking compared with community ambulators. The areas under the curve for maximum steps per bout and bouts per day were 0.91 (95% confidence interval = 0.88 to 0.95) and 0.83 (95% confidence interval = 0.78 to 0.88), respectively, with cutoffs of 648 steps and 53 bouts being used to differentiate active and inactive ambulation. LIMITATIONS Activity monitoring occurred for only 2 days. CONCLUSIONS Walking characteristics differed based on walking speed, walking endurance, and daily steps. Differences in daily steps between household and community ambulators were largely due to shorter and fewer walking bouts. Assessing and targeting walking bouts may prove useful for increasing stepping after stroke.
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Affiliation(s)
- Reed Handlery
- Department of Exercise Science, University of South Carolina, 1300 Wheat St, Columbia, SC 29208 (USA)
| | - George Fulk
- Department of Physical Therapy Education, SUNY Upstate Medical University, Syracuse, New York
| | | | | | - Courtney Monroe
- Department of Health Promotion, Education, and Behavior, University of South Carolina
| | - Stacy Fritz
- Department of Exercise Science, University of South Carolina
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9
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Factors which Influence Risk Taking and the Evolution of Social-Identity in Stroke Narratives: A Thematic Synthesis. Behav Sci (Basel) 2020; 10:bs10020046. [PMID: 32023968 PMCID: PMC7071490 DOI: 10.3390/bs10020046] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 01/24/2020] [Accepted: 01/25/2020] [Indexed: 11/17/2022] Open
Abstract
Background: The disruption of a stroke can impact an individual’s sense of social identity. A comprehensive review is required to understand the factors and processes that influence changes in social identity following a stroke. Aims: To undertake a review of literature to discover a process of social identity evolution for people with stroke and identify the factors which influence it. Methods: A meta-ethnographic approach to review was undertaken and a subtle realist viewpoint was assumed. Studies were included if they documented experiences and perceptions relating to stroke. Eight electronic databases were searched from January 2009 until January 2019. Quality assessment and synthesis techniques were applied. Findings: Out of the 18 papers included, a total of 251 (141/251, 56% male, 109/251, 43% female, 1/251, 0.4% undisclosed) individuals were included within the synthesis. The evolution of social-identity model was developed and identified with five key stages to represent a process that individuals with stroke can experience. Factors which influence the process were identified and direct implications for clinical practice are given. Conclusion: This review has highlighted the major themes within the evolution of social identity and management strategies for risk taking to achieve a desired future. Further research is required to consider how these findings may be tested in clinical practice.
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10
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Mahendran N, Kuys SS, Brauer SG. Which impairments, activity limitations and personal factors at hospital discharge predict walking activity across the first 6 months poststroke? Disabil Rehabil 2019; 42:763-769. [PMID: 30724628 DOI: 10.1080/09638288.2018.1508513] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Purpose: To determine which impairments, activity limitations and personal factors at hospital discharge poststroke predict volume, frequency, and intensity of walking activity 1, 3, and 6 months later.Materials and Methods: Prospective longitudinal observational study. Thirty-six people with stroke (71 SD 14 years, 69% male) were recruited at hospital discharge and predictors including fatigue, mood, executive function, walking speed, walking endurance, age, prestroke activity, self-efficacy, and perceived stroke recovery and health were collected. At 1, 3, and 6 months follow-up, participants wore an ActivPAL™ accelerometer to collect measures of walking activity.Results: At 1 month, walking endurance predicted all walking activity (R2 > 0.29, p < 0.01). At 3 months, walking endurance and prestroke activity predicted activity volume and intensity (R2 = 0.46-0.61, p < 0.001), and prestroke activity predicted activity frequency (R2 = 0.31, p = 0.004). At 6 months, age-predicted activity volume and frequency (R2 = 0.34-0.35, p < 0.003), while prestroke activity, discharge walking endurance, and executive function together predicted activity intensity (R2 = 0.79, p < 0.001).Conclusion: Walking endurance contributes to walking activity outcomes across the first 6 months following hospital discharge poststroke. After 1 month of discharge, factors other than poststroke changes also contribute to activity outcomes, and should be considered when targeting poststroke physical activity.Implications for rehabilitationWalking endurance should be addressed during stroke rehabilitation as higher scores are linked to more walking activity in the first month after discharge.Prestroke factors such as low prestroke activity levels and older age predict reduced walking activity after stroke, so approaches to address barriers these factors may pose are needed in people with stroke.Physical activity interventions should be tailored to the individual, their environment, and context, and take into consideration prestroke factors.
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Affiliation(s)
- Niruthikha Mahendran
- Physiotherapy, School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia.,Discipline of Physiotherapy, Faculty of Health, University of Canberra, Canberra, Australia
| | - Suzanne S Kuys
- Discipline of Physiotherapy, School of Allied Health, Faculty of Health Sciences, Australian Catholic University, Brisbane, Australia
| | - Sandra G Brauer
- Physiotherapy, School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia
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11
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Gainey J, Brecthtel L, Blum B, Keels A, Madeline L, Lowther E, Nathaniel T. Functional Outcome Measures of Recombinant Tissue Plasminogen Activator-Treated Stroke Patients in the Telestroke Technology. J Exp Neurosci 2018; 12:1179069518793412. [PMID: 30245570 PMCID: PMC6144501 DOI: 10.1177/1179069518793412] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 07/12/2018] [Indexed: 11/16/2022] Open
Abstract
The efficiency of telestroke programs in improving the rates of recombinant
tissue plasminogen activator (rtPA) in stroke patients has been reported.
Previous studies have reported favorable treatment outcomes with the use of
telestroke programs to improve the use of rtPA, but functional outcomes are not
fully understood. This study investigated the effect of telestroke technology in
the administration of rtPA and related functional outcomes associated with
baseline clinical variables. Retrospective data of a telestroke registry were
analyzed. Univariate analysis was used to compare demographic and clinical
variables in the rtPA group and the no rtPA group and between the improved
functional ambulation group and the no improvement group. A stepwise binary
logistic regression identified factors associated with improved functional
outcome in the total telestroke population and in the subset of the telestroke
population who received rtPA. In adjusted analysis and elimination of any
multicollinearity for patients who received rtPA in the telestroke setting,
obesity (odds ratio [OR] = 2.138, 95% confidence interval [CI], 1.164-3.928,
P < .05), higher systolic blood pressure at the time of
presentation (OR = 1.015, 95% CI, 1.003-1.027, P < .05), and
baseline high-density lipoprotein at the time of admission (OR = 1.032, 95% CI,
1.005-1.059, P < .05) were associated with improved
functional outcomes. Increasing age (OR = 0.940, 95% CI, 0.916-0.965,
P < .0001) and higher calculated National Institutes of
Health Stroke Scale (OR = 0.903, 95% CI, 0.869-0.937) were associated with a
poorer outcome in rtPA-treated patients. Telestroke technology improves
functional outcomes at spoke stations where neurological expertise is
unavailable. Further studies are necessary to determine how telestroke
technology can be optimized, especially to improve contraindications and
increase eligibility for thrombolysis therapy.
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Affiliation(s)
- Jordan Gainey
- School of Medicine, University of South Carolina, Greenville, SC, USA
| | - Leanne Brecthtel
- School of Medicine, University of South Carolina, Greenville, SC, USA
| | - Brice Blum
- School of Medicine, University of South Carolina, Greenville, SC, USA
| | - Aaliyah Keels
- School of Medicine, University of South Carolina, Greenville, SC, USA
| | | | | | - Thomas Nathaniel
- School of Medicine, University of South Carolina, Greenville, SC, USA
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Ezeugwu VE, Manns PJ. Sleep Duration, Sedentary Behavior, Physical Activity, and Quality of Life after Inpatient Stroke Rehabilitation. J Stroke Cerebrovasc Dis 2017; 26:2004-2012. [PMID: 28669653 DOI: 10.1016/j.jstrokecerebrovasdis.2017.06.009] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 05/29/2017] [Accepted: 06/03/2017] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE The aim of this study was to describe accelerometer-derived sleep duration, sedentary behavior, physical activity, and quality of life and their association with demographic and clinical factors within the first month after inpatient stroke rehabilitation. MATERIALS AND METHODS Thirty people with stroke (mean ± standard deviation, age: 63.8 ± 12.3 years, time since stroke: 3.6 ± 1.1 months) wore an activPAL3 Micro accelerometer (PAL Technologies, Glasgow, Scotland) continuously for 7 days to measure whole-day activity behavior. The Stroke Impact Scale and the Functional Independence Measure were used to assess quality of life and function, respectively. RESULTS Sleep duration ranged from 6.6 to 11.6 hours/day. Fifteen participants engaged in long sleep greater than 9 hours/day. Participants spent 74.8% of waking hours in sedentary behavior, 17.9% standing, and 7.3% stepping. Of stepping time, only a median of 1.1 (interquartile range: .3-5.8) minutes were spent walking at a moderate-to-vigorous intensity (≥100 steps/minute). The time spent sedentary, the stepping time, and the number of steps differed significantly by the hemiparetic side (P < .05), but not by sex or the type of stroke. There were moderate to strong correlations between the stepping time and the number of steps with gait speed (Spearman r = .49 and .61 respectively, P < .01). Correlations between accelerometer-derived variables and age, time since stroke, and cognition were not significant. CONCLUSIONS People with stroke sleep for longer than the normal duration, spend about three quarters of their waking hours in sedentary behaviors, and engage in minimal walking following stroke rehabilitation. Our findings provide a rationale for the development of behavior change strategies after stroke.
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Affiliation(s)
- Victor E Ezeugwu
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada.
| | - Patricia J Manns
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada
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O'Brien MK, Shawen N, Mummidisetty CK, Kaur S, Bo X, Poellabauer C, Kording K, Jayaraman A. Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting. J Med Internet Res 2017; 19:e184. [PMID: 28546137 PMCID: PMC5465379 DOI: 10.2196/jmir.7385] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 04/03/2017] [Accepted: 04/07/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Smartphones contain sensors that measure movement-related data, making them promising tools for monitoring physical activity after a stroke. Activity recognition (AR) systems are typically trained on movement data from healthy individuals collected in a laboratory setting. However, movement patterns change after a stroke (eg, gait impairment), and activities may be performed differently at home than in a lab. Thus, it is important to validate AR for gait-impaired stroke patients in a home setting for accurate clinical predictions. OBJECTIVE In this study, we sought to evaluate AR performance in a home setting for individuals who had suffered a stroke, by using different sets of training activities. Specifically, we compared AR performance for persons with stroke while varying the origin of training data, based on either population (healthy persons or persons with stoke) or environment (laboratory or home setting). METHODS Thirty individuals with stroke and fifteen healthy subjects performed a series of mobility-related activities, either in a laboratory or at home, while wearing a smartphone. A custom-built app collected signals from the phone's accelerometer, gyroscope, and barometer sensors, and subjects self-labeled the mobility activities. We trained a random forest AR model using either healthy or stroke activity data. Primary measures of AR performance were (1) the mean recall of activities and (2) the misclassification of stationary and ambulatory activities. RESULTS A classifier trained on stroke activity data performed better than one trained on healthy activity data, improving average recall from 53% to 75%. The healthy-trained classifier performance declined with gait impairment severity, more often misclassifying ambulatory activities as stationary ones. The classifier trained on in-lab activities had a lower average recall for at-home activities (56%) than for in-lab activities collected on a different day (77%). CONCLUSIONS Stroke-based training data is needed for high quality AR among gait-impaired individuals with stroke. Additionally, AR systems for home and community monitoring would likely benefit from including at-home activities in the training data.
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Affiliation(s)
- Megan K O'Brien
- Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, IL, United States.,Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States
| | - Nicholas Shawen
- Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, IL, United States
| | - Chaithanya K Mummidisetty
- Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, IL, United States
| | - Saninder Kaur
- Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, IL, United States
| | - Xiao Bo
- Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States
| | - Christian Poellabauer
- Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States
| | - Konrad Kording
- Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States
| | - Arun Jayaraman
- Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, IL, United States.,Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States
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Jeong IC, Bychkov D, Hiser S, Kreif JD, Klein LM, Hoyer EH, Searson PC. Using a Real-Time Location System for Assessment of Patient Ambulation in a Hospital Setting. Arch Phys Med Rehabil 2017; 98:1366-1373.e1. [PMID: 28286202 DOI: 10.1016/j.apmr.2017.02.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 01/20/2017] [Accepted: 02/02/2017] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To assess the feasibility of using an infrared-based Real-Time Location System (RTLS) for measuring patient ambulation in a 2-minute walk test (2MWT) by comparing the distance walked and the Johns Hopkins Highest Level of Mobility (JH-HLM) score to clinician observation as a criterion standard. DESIGN Criterion standard validation study. SETTING Inpatient, university hospital. PARTICIPANTS Patients (N=25) in an adult neuroscience/brain rescue unit. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES RTLS and clinician-reported ambulation distance in feet, and JH-HLM score on an 8-point ordinal scale. RESULTS The RTLS ambulation distance for the 25 patients in the 2MWT was between 68 and 516ft. The mean difference between clinician-reported and RTLS ambulation distance was 8.4±11.7ft (2.7%±4.6%). The correlation between clinician-reported and RTLS ambulation distance was 97.9% (P<.01). The clinician-reported ambulation distance for 2 patients was +100ft and -99ft compared with the RTLS distance, implying clinician error in counting the number of laps (98ft). The correlation between the RTLS distance and clinician-reported distance excluding these 2 patients is 99.8% (P<.01). The accuracy of the RTLS for assessment of JH-HLM score for all 25 patients was 96%. The average patient speed obtained from RTLS data varied between 0.4 and 3.0mph. CONCLUSIONS The RTLS is able to accurately measure patient ambulation and calculate JH-HLM for a 2MWT when compared with clinician observation as the criterion standard.
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Affiliation(s)
- In Cheol Jeong
- Measurement Corps, Johns Hopkins Individualized Health Initiative, Johns Hopkins University, Baltimore, MD
| | - David Bychkov
- Measurement Corps, Johns Hopkins Individualized Health Initiative, Johns Hopkins University, Baltimore, MD
| | | | | | | | - Erik H Hoyer
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University, Baltimore, MD
| | - Peter C Searson
- Measurement Corps, Johns Hopkins Individualized Health Initiative, Johns Hopkins University, Baltimore, MD.
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