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Cisek KK, Nguyen TNQ, Garcia-Rudolph A, Saurí J, Becerra Martinez H, Hines A, Kelleher JD. Predictors of social risk for post-ischemic stroke reintegration. Sci Rep 2024; 14:10110. [PMID: 38698076 PMCID: PMC11066106 DOI: 10.1038/s41598-024-60507-7] [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: 07/22/2023] [Accepted: 04/24/2024] [Indexed: 05/05/2024] Open
Abstract
After stroke rehabilitation, patients need to reintegrate back into their daily life, workplace and society. Reintegration involves complex processes depending on age, sex, stroke severity, cognitive, physical, as well as socioeconomic factors that impact long-term outcomes post-stroke. Moreover, post-stroke quality of life can be impacted by social risks of inadequate family, social, economic, housing and other supports needed by the patients. Social risks and barriers to successful reintegration are poorly understood yet critical for informing clinical or social interventions. Therefore, the aim of this work is to predict social risk at rehabilitation discharge using sociodemographic and clinical variables at rehabilitation admission and identify factors that contribute to this risk. A Gradient Boosting modelling methodology based on decision trees was applied to a Catalan 217-patient cohort of mostly young (mean age 52.7), male (66.4%), ischemic stroke survivors. The modelling task was to predict an individual's social risk upon discharge from rehabilitation based on 16 different demographic, diagnostic and social risk variables (family support, social support, economic status, cohabitation and home accessibility at admission). To correct for imbalance in patient sample numbers with high and low-risk levels (prediction target), five different datasets were prepared by varying the data subsampling methodology. For each of the five datasets a prediction model was trained and the analysis involves a comparison across these models. The training and validation results indicated that the models corrected for prediction target imbalance have similarly good performance (AUC 0.831-0.843) and validation (AUC 0.881 - 0.909). Furthermore, predictor variable importance ranked social support and economic status as the most important variables with the greatest contribution to social risk prediction, however, sex and age had a lesser, but still important, contribution. Due to the complex and multifactorial nature of social risk, factors in combination, including social support and economic status, drive social risk for individuals.
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Affiliation(s)
- Katryna K Cisek
- AIDHM, Artificial Intelligence in Digital Health and Medicine, Technological University Dublin, Dublin, Ireland.
- RESQ+, Comprehensive solutions of healthcare improvement based on the global Registry of Stroke Care Quality, Horizon Europe Project, Brno, Czech Republic.
| | - Thi Nguyet Que Nguyen
- AIDHM, Artificial Intelligence in Digital Health and Medicine, Technological University Dublin, Dublin, Ireland
| | - Alejandro Garcia-Rudolph
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Bellaterra, Spain
- Fundació Institute d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
- Institut Guttmann Hospital de Neurorehabilitacio, Badalona, Spain
- STRATIF-AI, Continuous stratification for improved prevention, treatment, and rehabilitation of stroke patients using digital twins and AI, Horizon Europe Project, Linköping, Sweden
| | - Joan Saurí
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Bellaterra, Spain
- Fundació Institute d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
- Institut Guttmann Hospital de Neurorehabilitacio, Badalona, Spain
| | | | - Andrew Hines
- School of Computer Science, University College Dublin, Dublin, Ireland
| | - John D Kelleher
- STRATIF-AI, Continuous stratification for improved prevention, treatment, and rehabilitation of stroke patients using digital twins and AI, Horizon Europe Project, Linköping, Sweden
- ADAPT Research Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland
- RESQ+, Comprehensive solutions of healthcare improvement based on the global Registry of Stroke Care Quality, Horizon Europe Project, Brno, Czech Republic
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Chevalley O, Truijen S, Opsommer E, Saeys W. Physical functioning factors predicting a return home after stroke rehabilitation: A systematic review and meta-analysis. Clin Rehabil 2023; 37:1698-1716. [PMID: 37424501 PMCID: PMC10580673 DOI: 10.1177/02692155231185446] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/12/2023] [Indexed: 07/11/2023]
Abstract
OBJECTIVES This systematic review and meta-analysis sought to identify the physical functioning factors associated with home discharge after inpatient stroke rehabilitation. DATA SOURCES A search of PubMed, Embase, CINHAL, The Cochrane Library (Trials), Web of Science, and PEDro were conducted up until May 2023. METHODS Two independent reviewers selected studies for population (patients with stroke), predictive factors (physical functioning), outcome (discharge destination), setting (inpatient rehabilitation), and study designs (observational and experimental studies). Predictive factors were identified among assessments of the "body function" and "activity" components of the International Classification of Functioning. Methodological quality was assessed with the Newcastle-Ottawa Scale. The findings used quantitative and narrative syntheses. Meta-analyses were performed with the inverse variance method and the random-effects model using included studies with sufficient data. RESULTS Forty-five studies were included with 204,787 participants. Included studies assessed the association of independence in activities of daily living, walking, rolling, transferring, and balance on admission with a probability of returning home. Motor (odds ratio = 1.23, 95% confidence interval: 1.12-1.35, p < .001) and total (odds ratio = 1.34, 95% confidence interval: 1.14-1.57, p < .001) Functional Independence Measure scores on admission were significantly associated with home discharge in meta-analyses. Additionally, included studies showed that independence in motor activities, such as sitting, transferring, and walking, and scores above thresholds for the Functional Independence Measure and Berg Balance Scale on admission were associated with discharge destination. CONCLUSION This review showed that higher independence in activities of daily living on admission is associated with home discharge after inpatient stroke rehabilitation.
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Affiliation(s)
- Odile Chevalley
- School of Health Sciences (HESAV), University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland
- Department of Rehabilitation Sciences and Physiotherapy, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Steven Truijen
- Department of Rehabilitation Sciences and Physiotherapy, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emmanuelle Opsommer
- School of Health Sciences (HESAV), University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland
| | - Wim Saeys
- Department of Rehabilitation Sciences and Physiotherapy, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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Clarification of Factors Determining Discharge Destination Among Elderly Patients After Stroke With Low Levels of Independence in Activities of Daily Living: A Retrospective Study. Arch Rehabil Res Clin Transl 2022; 4:100226. [PMID: 36545528 PMCID: PMC9761264 DOI: 10.1016/j.arrct.2022.100226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Objective To determine factors influencing discharge destination of elderly patients after stroke with low levels of independence in activities of daily living (ADL). Design Cross-sectional study. Setting A community-based public hospital in a rural area in Japan. Participants A total of 67 patients with low daily function among 205 elderly patients with stroke screened for eligibility (N=67). Interventions Not applicable. Main Outcome Measures Motor component of functional independence measure (M-FIM) at discharge and discharge destination-home or long-term care facility (LCF). Results Among the 205 eligible patients, 147 were discharged home and 58 were discharged to LCFs. Patients with an M-FIM score of ≤30 at discharge were defined as patients deemed difficult to discharge home because of low independence levels in ADL. Of the 147 patients discharged home, 24 (16.3%) had M-FIM scores of ≤30. Of the 58 patients discharged to LCFs, 43 (74.1%) had M-FIM scores of ≤30. Patients with an M-FIM score of ≤30 at discharge significantly tended to be discharged home if they obtained oral intake vs tube feeding as a nutritional method (P=.047) and higher cognitive component of FIM scores at discharge (P=.002). All six patients who lived alone among patients with an M-FIM score of ≤30 were discharged to LCFs. Two patients on tube feeding were discharged home. Conclusions Nutritional method, cognitive function at discharge, and the prestroke living situation with or without household caregivers are important factors of discharge among elderly patients after stroke with low independence levels in ADL. However, only a small number of severely disabled patients were successfully discharged home.
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Kautzky-Willer A, Harreiter J, Thomas A, Burger J, Schneeweiß U, Deischinger C, Klein W, Moser H. Women With Cerebral Infarction Feature Worse Clinical Profiles at Admission but Comparable Success to Men During Long-Term Inpatient Neurorehabilitation. Front Aging Neurosci 2021; 13:663215. [PMID: 34867261 PMCID: PMC8637730 DOI: 10.3389/fnagi.2021.663215] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 10/27/2021] [Indexed: 12/25/2022] Open
Abstract
Objective: Little is known about possible sex and gender differences in post-stroke neurorehabilitation outcomes. We aimed to analyze if functional performance, prevalence and impact of comorbidities at admission, and success of inpatient stroke-neurorehabilitation differ between men and women. Methods: Retrospective cohort analysis of 1,437 men and 907 women with prior cerebral infarction treated at a neurorehabilitation clinic between 2012 and 2017; multiple linear regression was used to examine the influence of sex/gender as well as multiple confounders on health and functional outcomes. The main outcome measures were Barthel index (BI) at admission and its change during 4 weeks inpatient neurorehabilitation. Results: Men had been diagnosed with osteoporosis less frequently than women but more often with type 2 diabetes mellitus, coronary artery or chronic kidney disease (p ≤ 0.01). Although twice as many women presented with pre-stroke depression compared to men, the risk of post-stroke depression detected during rehabilitation was comparable. Men were more likely to have less than 30 days between diagnosis and neurorehabilitation start than women (p < 0.03). At admission, women exhibited less autonomy, a lower BI, a higher pain score and worse 2-min walk test (2′WT) compared to men (p < 0.001). Among males osteoporosis and peripheral artery disease independently predicted BI at admission, in women it was pre-stroke depression, dementia, and arterial fibrillation. During neurorehabilitation, both sexes improved regarding BI, pain and walk tests (p < 0.001). Despite comparable rehabilitation effectiveness, women still had worse functional outcomes than males at discharge. Time after stroke to start of neurorehabilitation and length of the stay but, most strongly, the simple 2′WT at admission, and in women, pain intensity independently predicted post-stroke functional status and recovery. Conclusion: Women presented with worse functional status at admission to neurorehabilitation. Although men and women showed similar rehabilitation effectiveness, women still displayed worse clinical outcome measures and higher levels of pain at discharge. Early access and gender-sensitive, personalized post-stroke care with more focus on different comorbidities and psychosocial factors like pain levels and management, could further improve neurorehabilitation outcomes.
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Affiliation(s)
- Alexandra Kautzky-Willer
- Gender Medicine Institute, Gars am Kamp, Austria.,Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Jürgen Harreiter
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Anita Thomas
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Johannes Burger
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Ulrich Schneeweiß
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Carola Deischinger
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Wolfhard Klein
- Neurologisches Therapiezentrum Gmundnerberg, Altmünster, Austria
| | - Hermann Moser
- Neurologisches Therapiezentrum Gmundnerberg, Altmünster, Austria
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Stein J, Rodstein BM, Levine SR, Cheung K, Sicklick A, Silver B, Hedeman R, Egan A, Borg-Jensen P, Magdon-Ismail Z. Which Road to Recovery?: Factors Influencing Postacute Stroke Discharge Destinations: A Delphi Study. Stroke 2021; 53:947-955. [PMID: 34706561 DOI: 10.1161/strokeaha.121.034815] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The criteria for determining the level of postacute care for patients with stroke are variable and inconsistent. The purpose of this study was to identify key factors influencing the selection of postacute level of care for these patients. METHODS We used a collaborative 4-round Delphi process to achieve a refined list of factors influencing postacute level of care selection. Our Delphi panel of experts consisted of 32 panelists including physicians, physical therapists, occupational therapists, speech-language pathologists, nurses, stroke survivors, administrators, policy experts, and individuals associated with third-party insurance companies. RESULTS In round 1, 207 factors were proposed, with subsequent discussion resulting in consolidation into 15 factors for consideration. In round 2, 15 factors were ranked with consensus on 10 factors; in round 3,10 factors were ranked with consensus on 9 factors. In round 4, the final round, 9 factors were rated with Likert scores ranging from 5 (most important) to 1(not important). The percentage of panelists who provided a rating of 4 or above were as follows: likelihood to benefit from an active rehabilitation program (97%), need for clinicians with specialized rehabilitation skills (94%), need for active and ongoing medical management and monitoring (84%), ability to tolerate an active rehabilitation program (74%), need for caregiver training to return to the community (48%), family/caregiver support (39%), likelihood to return to community/home (39%), ability to return to physical home environment (32%), and premorbid dementia (16%). CONCLUSIONS This study provides an expert, consensus-based set of key factors to be considered when determining where stroke patients are discharged for postacute care. These factors may be useful in developing a decision support tool for use in clinical settings.
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Affiliation(s)
- Joel Stein
- Department of Rehabilitation and Regenerative Medicine, Columbia University Vagelos College of Physicians and Surgeons, NY (J.S.).,Department of Rehabilitation Medicine, Weill Cornell Medical College, NY (J.S.).,NewYork-Presbyterian Hospital, NY (J.S.)
| | - Barry M Rodstein
- University of Massachusetts Medical School-Baystate Health, Springfield (B.M.R.)
| | - Steven R Levine
- Departments of Neurology and Emergency Medicine, and Stroke Center, SUNY Downstate Health Sciences University, Brooklyn, NY (S.R.L.).,Department of Neurology, Kings County Hospital Center, Brooklyn, NY (S.R.L.).,Jaffe Stroke Center and Department of Neurology, Maimonides Medical Center, Brooklyn, NY (S.R.L.)
| | - Ken Cheung
- Department of Biostatistics, Columbia University Irving Medical Center, NY (K.C.)
| | | | - Brian Silver
- Department of Neurology, University of Massachusetts Medical School, Worcester (B.S.)
| | | | - Abigail Egan
- The American Heart Association/American Stroke Association, Eastern States, Albany, NY (A.E., P.B.-J., Z.M.-I.)
| | - Pamela Borg-Jensen
- The American Heart Association/American Stroke Association, Eastern States, Albany, NY (A.E., P.B.-J., Z.M.-I.)
| | - Zainab Magdon-Ismail
- The American Heart Association/American Stroke Association, Eastern States, Albany, NY (A.E., P.B.-J., Z.M.-I.).,Capital District Physician's Health Plan, Albany NY (Z.M.-I.)
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Chevalley O, Truijen S, Saeys W, Opsommer E. Socio-environmental predictive factors for discharge destination after inpatient rehabilitation in patients with stroke: a systematic review and meta-analysis. Disabil Rehabil 2021; 44:4974-4985. [PMID: 34004119 DOI: 10.1080/09638288.2021.1923838] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE To identify which of the socio-environmental factors of patients with stroke are predictive for discharge to their home after inpatient rehabilitation. Because discharge planning is a key component of rehabilitation, it is important to recognize the predictive factors for a discharge home. Other systematic reviews demonstrated the value of functional outcome measures. This review adds to the current literature by assessing the predictive value of socio-environmental factors, which shape the context in which a person lives. METHODS We performed a systematic search in seven databases. Two independent reviewers selected studies and assessed them for methodological quality. We extracted data to estimate pooled odds ratio for household situation, social support, ethnicity and socioeconomic status. RESULTS Forty studies were included. Significant estimates were found for living with others (OR 2.60; 95%CI 1.84-3.68), having support at home (OR 11.48; 95%CI 6.52-20.21), being married (OR 2.05; 95%CI 1.80-2.33) and living at home before stroke (OR 31.01; 95%CI 7.38-130.18). CONCLUSION Living at home and benefiting from social support, including living with others, are important factors to consider during discharge planning after stroke. Further research should consider the impact of socioeconomic status.IMPLICATIONS FOR REHABILITATIONEvaluating the social and environmental factors of patients with stroke plays an important role in discharge planning.Next to functional status, caregiver availability (support at home) is among the strongest predictive factors for discharge home.To assess caregiver availability, the presence of a willing and able caregiver should be surveyed at admission.Further predictive factors for discharge home are cohabitation and marital status.
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Affiliation(s)
- Odile Chevalley
- School of Health Sciences (HESAV), University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland.,Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Steven Truijen
- Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Wim Saeys
- Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emmanuelle Opsommer
- School of Health Sciences (HESAV), University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland
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Wang CY, Chen YC, Wang CH. Early Rehabilitation in Acute Care Inpatient Wards May Be Crucial to Functional Recovery 3 Months After Ischemic Stroke. Phys Ther 2021; 101:5943766. [PMID: 33125475 DOI: 10.1093/ptj/pzaa197] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 02/10/2020] [Accepted: 09/15/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Early rehabilitation in acute care inpatient wards may maximize functional outcome at 3 months after stroke in survivors of stroke. It is unknown whether functional change during acute care hospitalization is significantly associated with functional recovery at 3 months in survivors of acute stroke. The purposes of this study were to examine the association of the Barthel Index (BI) at 3 months with functional change as measured with the Barthel Index (ΔBI) in an acute care inpatient ward and to identify the factors associated with ΔBI and who could benefit from an early rehabilitation program. METHODS In this prospective longitudinal study, 76 patients with ischemic stroke in an acute care inpatient ward received early rehabilitation of up to 2 sessions per day for 5 d/wk during their stay. Therapy density was calculated as the proportion of total therapy sessions completed. At admission and discharge, they were assessed with the BI and the Postural Assessment Scale for Stroke Patients (PASS). Demographic and health-related information was also collected. The Barthel Index (BI) was reassessed at 3 months. RESULTS ΔBI in the acute care inpatient ward significantly predicted the BI at 3 months, over and above the other significant variables; in addition, therapy density and change in PASS were significantly associated with ΔBI. Patients with moderate initial functional dependence had the largest ΔBI, followed by the group with a more severe condition. CONCLUSIONS ΔBI in acute care inpatient wards may be an important predictor of the BI at 3 months. Therapy density and change in PASS were significantly associated with ΔBI. IMPACT Survivors of acute stroke who receive up to 2 rehabilitation sessions per day for 5 d/wk early in their hospitalization have better functional recovery at 3 months after stroke.
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Affiliation(s)
- Ching-Yi Wang
- Department of Physical Therapy, Chung Shan Medical University, Taichung, Taiwan; Physical Therapy Room, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Yueh-Chi Chen
- Department of Physical Therapy, Chung Shan Medical University, Taichung, Taiwan; Physical Therapy Room, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chun-Hou Wang
- Department of Physical Therapy, Chung Shan Medical University, Taichung, Taiwan; Physical Therapy Room, Chung Shan Medical University Hospital, Taichung, Taiwan
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Stein J, Borg-Jensen P, Sicklick A, Rodstein BM, Hedeman R, Bettger JP, Hemmitt R, Silver BM, Thode HC, Magdon-Ismail Z. Are Stroke Survivors Discharged to the Recommended Postacute Setting? Arch Phys Med Rehabil 2020; 101:1190-1198. [PMID: 32272107 DOI: 10.1016/j.apmr.2020.03.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/02/2020] [Accepted: 03/02/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To examine the processes and barriers involved in providing postdischarge stroke care. DESIGN Prospective study of discharge planners' (DP) and physical therapists' (PT) interpretation of factors contributing to patients' discharge destination. SETTING Twenty-three hospitals in the northeastern United States. PARTICIPANTS After exclusions, data on patients (N=427) hospitalized with a primary diagnosis of stroke between May 2015 and November 2016 were examined. Of the patients, 45% were women, and the median age was 71 years. DPs and PTs caring for these patients were queried regarding the selection of discharge destination. INTERVENTIONS None. MAIN OUTCOME MEASURES Comparison of actual discharge destination for stroke patients with the destinations recommended by their DPs and PTs. RESULTS In total, 184 patients (43.1%) were discharged home, 146 (34.2%) to an inpatient rehabilitation facility, 94 (22.0%) to a skilled nursing facility, and 3 (0.7%) to a long-term acute care hospital. DPs and PTs agreed on the recommended discharge destination in 355 (83.1%) cases. The actual discharge destination matched the DP and PT recommended discharge destination in 92.5% of these cases. In 23 cases (6.5%), the patient was discharged to a less intensive setting than recommended by both respondents. In 4 cases (1.1%), the patient was discharged to a more intensive level of care. In 2 cases (0.6%), the patient was discharged to a long-term acute care hospital rather than an inpatient rehabilitation facility as recommended. Patient or family preference was cited by at least 1 respondent for the discrepancy in discharge destination for 13 patients (3.1%); insurance barriers were cited for 9 patients (2.3%). CONCLUSIONS Most stroke survivors in the northeast United States are discharged to the recommended postacute care destination based on the consensus of DP and PT opinions. Further research is needed to guide postacute care service selection.
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Affiliation(s)
- Joel Stein
- Department of Rehabilitation and Regenerative Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York; Department of Rehabilitation Medicine, Weill Cornell Medicine, New York, New York; New York-Presbyterian Hospital, New York, New York.
| | - Pamela Borg-Jensen
- The American Heart Association/American Stroke Association, Eastern States, Albany, New York
| | | | | | | | - Janet Prvu Bettger
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Roseanne Hemmitt
- The American Heart Association/American Stroke Association, Eastern States, Albany, New York
| | - Brian M Silver
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Henry C Thode
- Department of Emergency Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | - Zainab Magdon-Ismail
- The American Heart Association/American Stroke Association, Eastern States, Albany, New York
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Zancan A, Rodigari A, Gigli Berzolari F, Borrelli P. Risk factors for long-term care after hemiplegia from cancer-related brain surgery: a pilot study for new prediction model. Eur J Phys Rehabil Med 2019; 55:735-742. [PMID: 31556509 DOI: 10.23736/s1973-9087.19.05840-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Hemiplegia is a worldwide-represented neurological condition leading to long-term disability. The most common cause of hemiplegia is stroke; 25% to 50% of stroke survivors require some assistance after hospital discharge; approximately half of them become dependent, while only 14% achieve full recovery of activities of daily living (ADL). Cancer and cancer-related surgery are other causes of hemiplegia and rehabilitation in cancer patients has been recognized as important factor in order to help maintaining quality of life as long as possible. Many studies have been done in order to assess a reliable prediction about outcome of hemiplegia from stroke, but outcome prediction for cancer-related hemiplegia still remains a challenge and no clinical prediction tool has been developed being better than physician's informal prediction. AIM Aim of this pilot study was: a) to detect risk factors associated with need for long-term care for patients suffering from hemiplegia due to cancer-related brain surgery, b) to build an algorithm-based model from detected risk factors in order to predict the need for long-term care after rehabilitation 3) to assess the feasibility of a subsequent study on a larger sample of subjects, in order to validate of the model. The subsequent study will be considered feasible if the model developed by the pilot study will be able to correctly predict more than 85% of patients needing or not long-term care after rehabilitation. DESIGN Observational retrospective study. SETTING Neurorehabilitation Unit. POPULATION Inpatients affected by hemiplegia due to cancer-related surgery. METHODS The observational retrospective study involved 158 subjects affected by hemiplegia due to cancer-related brain surgery. All of the subjects underwent rehabilitation therapy, while radio /chemotherapy was administered if needed. Stroke prognostic factors and other clinical variables were recorded for all subjects. The endpoint variable was Functional Independence Measure (FIM®) Score at discharge after rehabilitation. Variables were then associated with patient's FIM Score <61 at discharge after rehabilitation, as predictor of long-term care at home. RESULTS After statistical evaluation, age, comorbidity Charlson Index >3, complete absence of motricity of the affected limbs, hypoesthesia, trunk-control deficit, dysphagia, language disorder, urinary or fecal incontinence were found to be risk factors for FIM Score <61 at discharge. From detected factors an algorithm-based model was built in order to estimate patient's overall probability to need or not an intensive long-term care after rehabilitation. CONCLUSIONS The model developed by the pilot study allowed correct positive or negative prediction for long-term care need after rehabilitation for 90.6% of the patients suffering from cancer-related hemiplegia. A subsequent study on a larger sample of subjects resulted therefore feasible because overall correct prediction was higher than 85%. CLINICAL REHABILITATION IMPACT Risk factors for intensive care at home (complete absence of motricity of affected limbs, trunk control deficit, fecal incontinence, dysphagia and comorbidity Charlson Index >3) can be useful to evaluate patients suffering from hemiplegia due to cancer-related brain surgery, at admission into Rehabilitation Unit. The algorithm-based model seems to be a promising tool to estimate the probability of intensive home care for that type of hemiplegic patients.
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Affiliation(s)
- Arturo Zancan
- Subacute Care Unit, Istituti Clinici Scientifici Maugeri Spa, Società Benefit and IRCCS, Pavia, Italy -
| | - Alessandra Rodigari
- Unit of Rehabilitation and Functional Recovery, Istituti Clinici Scientifici Maugeri Spa, Società Benefit and IRCCS, Pavia, Italy
| | - Francesca Gigli Berzolari
- Unit of Biostatistics and Clinical Epidemiology, Department of Public Health Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Paola Borrelli
- Unit of Biostatistics and Clinical Epidemiology, Department of Public Health Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
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10
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Meyer MJ, Teasell R, Thind A, Koval J, Speechley M. In-Home Rehabilitation Resources and Avoidable Admissions to Inpatient Rehabilitation after Stroke: An Ecological Study. Rehabil Process Outcome 2018. [DOI: 10.1177/1179572718820543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background and purpose: In Ontario (Canada’s most populous province), it has been suggested that mildly impaired stroke patients are being admitted to inpatient rehabilitation unnecessarily due to a lack of alternative options in the community. This ecological study aimed to formally test this hypothesis. Methods: Patients admitted to an inpatient rehabilitation bed in Ontario’s most highly functioning patient classification group (Rehabilitation Patient Group 1160) were retrospectively identified as potentially avoidable admissions, and the proportion of such patients was calculated for each Local Health Integration Network every year between 2006/2007 and 2010/2011. Five indicators of community-based rehabilitation availability were used to test the relationships between avoidable admissions and resource indicators. Results: Of the 25 correlations tested, 21 agreed with the hypothesized direction of effect and 4 reached statistical significance. Logistic-linear regressions on combined data from each of the 5 years demonstrated statistically significant associations between all 5 resource indicators and the proportion of potentially avoidable admissions. Conclusions: This study confirms the suggestion of variation in the proportion of mildly impaired patients admitted to inpatient rehabilitation across Ontario’s Local Health Integration Networks. It also adds evidence to support the concern that a lack of community-based rehabilitation is contributing to these potentially avoidable admissions.
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Affiliation(s)
- Matthew J Meyer
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
- Department of Decision Sciences London Health Sciences Centre, London, ON, Canada
- Aging, Rehabilitation & Geriatric Care Research Centre, Lawson Health Research Institute, London, ON, Canada
| | - Robert Teasell
- Aging, Rehabilitation & Geriatric Care Research Centre, Lawson Health Research Institute, London, ON, Canada
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine & Dentistry, London, ON, Canada
- Department of Physical Medicine and Rehabilitation, St. Joseph’s Healthcare, London, ON, Canada
| | - Amardeep Thind
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
- Schulich Interfaculty Program in Public Health, Western University, London, ON, Canada
- Department of Family Medicine, Schulich School of Medicine & Dentistry, London, ON, Canada
| | - John Koval
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
| | - Mark Speechley
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
- Schulich Interfaculty Program in Public Health, Western University, London, ON, Canada
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Elderly Stroke Rehabilitation: Overcoming the Complications and Its Associated Challenges. Curr Gerontol Geriatr Res 2018; 2018:9853837. [PMID: 30050573 PMCID: PMC6040254 DOI: 10.1155/2018/9853837] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 05/22/2018] [Indexed: 01/19/2023] Open
Abstract
There have been many advances in management of cerebrovascular diseases. However, stroke is still one of the leading causes of disabilities and mortality worldwide with significant socioeconomic burden. This review summarizes the consequences of stroke in the elderly, predictors of stroke rehabilitation outcomes, role of rehabilitation in neuronal recovery, importance of stroke rehabilitation units, and types of rehabilitation resources and services available in Singapore. We also present the challenges faced by the elderly stroke survivors in the local setting and propose strategies to overcome the barriers to rehabilitation in this aging population.
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12
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Babyar SR, Peterson MG, Reding M. Case–Control Study of Impairments Associated with Recovery from “Pusher Syndrome” after Stroke: Logistic Regression Analyses. J Stroke Cerebrovasc Dis 2017; 26:25-33. [DOI: 10.1016/j.jstrokecerebrovasdis.2016.08.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 08/11/2016] [Accepted: 08/16/2016] [Indexed: 10/21/2022] Open
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13
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Mirkowski M, Pereira S, Janzen S, Mehta S, Meyer M, McClure A, Speechley M, Teasell R. Caregiver availability for severe stroke results in improved functional ability at discharge from inpatient rehabilitation. Disabil Rehabil 2016; 40:457-461. [PMID: 28006999 DOI: 10.1080/09638288.2016.1260652] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE To evaluate the predictive capacity of caregiver availability on functional ability at time of discharge from inpatient rehabilitation in individuals with severe first-time stroke. METHODS A retrospective chart review was conducted of severe stroke inpatients admitted to a stroke rehabilitation unit between April 2005 and December 2009. Follow-up telephone interviews were conducted with patients to determine caregiver availability at time of discharge. Hierarchical linear regression analysis was performed to assess the predictive capacity of caregiver availability on functional ability at discharge from an inpatient rehabilitation unit after controlling for covariates. RESULTS Data from 180 individuals were included in the analysis. Individuals with a caregiver had significantly higher levels of functional ability at discharge compared to those without (85.8 ± 23.6 versus 72.9 ± 20.3; p < 0.01), although both groups achieved a minimal clinically important difference. After controlling for age, gender, admission Functional Independence Measure, and length of hospital stay, caregiver availability explained 1.3% of additional variance, with the final model explaining 41.3% of total variance for functional ability at discharge (F (5,174) = 26.21, p < 0.001). CONCLUSIONS The presence of a caregiver at time of discharge from inpatient rehabilitation is predictive of significantly higher functional ability at discharge in individuals with severe stroke. Implications for rehabilitation The availability of a caregiver at time of discharge from inpatient rehabilitation is predictive of improved functional ability at discharge in individuals with severe stroke. The presence of an available caregiver positively influences the functional recovery of individuals with severe stroke and may be an important element to successful rehabilitation.
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Affiliation(s)
| | | | - Shannon Janzen
- a Lawson Health Research Institute , London , Ontario , Canada
| | - Swati Mehta
- a Lawson Health Research Institute , London , Ontario , Canada.,b Western University , London , Ontario , Canada
| | - Matthew Meyer
- a Lawson Health Research Institute , London , Ontario , Canada.,b Western University , London , Ontario , Canada.,c London Health Sciences Centre , London , Ontario , Canada
| | - Andrew McClure
- a Lawson Health Research Institute , London , Ontario , Canada.,c London Health Sciences Centre , London , Ontario , Canada
| | | | - Robert Teasell
- a Lawson Health Research Institute , London , Ontario , Canada.,b Western University , London , Ontario , Canada.,d St. Joseph's Health Care London, Parkwood Institute , London , Ontario , Canada
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14
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Use of a Nonexercise Estimate for Prestroke Peak Vo 2 During the Acute Stroke Hospital Stay. Cardiopulm Phys Ther J 2016. [DOI: 10.1097/cpt.0000000000000026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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15
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Magdon-Ismail Z, Sicklick A, Hedeman R, Bettger JP, Stein J. Selection of Postacute Stroke Rehabilitation Facilities: A Survey of Discharge Planners From the Northeast Cerebrovascular Consortium (NECC) Region. Medicine (Baltimore) 2016; 95:e3206. [PMID: 27100410 PMCID: PMC4845814 DOI: 10.1097/md.0000000000003206] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 02/14/2016] [Accepted: 03/05/2016] [Indexed: 11/29/2022] Open
Abstract
The process of determining the level of care and specific postacute care facility for stroke patients has not been adequately studied. The objective of this study was to better understand the factors that influence postacute care decisions by surveying stroke discharge planners. Requests were sent to discharge planners at 471 hospitals in the Northeast United States to complete an online survey regarding the factors impacting the selection of postacute care. Seventy-seven (16%) discharge planners completed the online survey. Respondents were mainly nurses and social workers and 73% reported ≥20 years healthcare experience. Patients and families were found to be significantly more influential than physicians (P < 0.001) and other clinicians (P = 0.04) in influencing postdischarge care. Other clinicians were significantly more influential than physicians (P < 0.001). Insurance and quality of postacute care were the factors likely to most affect the selection of postacute care facility. Insurance was also identified as the greatest barrier in the selection of level of postacute care (70%; P < 0.001) and specific postacute care facility (46%; P = 0.02). More than half reported that pressure to discharge patients quickly impacts a patients' final destination. Nonclinical factors are perceived by discharge planners to have a major influence on postacute stroke care decision making.
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Affiliation(s)
- Zainab Magdon-Ismail
- From the Association/American Stroke Association Founders Affiliate, Albany, NY (ZM-I); Gaylord Specialty Healthcare, Wallingford, CT (AS); Kessler Institute for Rehabilitation, West Orange (RH); Duke Clinical Research Institute, Durham, NC (JPB); Department of Rehabilitation and Regenerative Medicine, Columbia University College of Physicians and Surgeons, New York, NY (JS); Division of Rehabilitation Medicine, Weill Cornell Medical College, New York, NY (JS); and New York-Presbyterian Hospital, New York, NY (JS)
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Abstract
BACKGROUND AND PURPOSE Observational studies demonstrate low levels of physical activity during inpatient stroke rehabilitation. There are no prior studies that have objectively measured sedentary time on the acute stroke unit and whether sedentary time is related to functional outcomes. The purpose of this study was to characterize sedentary time after acute stroke and determine whether there is a relationship to functional performance at discharge. METHODS Thirty-two individuals (18 men; 56.5 ± 12.7 years) with acute stroke were enrolled within 48 hours of hospital admission. An accelerometer was placed on the stroke-affected ankle to measure 24-hour activity and was worn for 4 days or until discharge from the hospital. Performance of activities of daily living, walking endurance, and functional mobility were assessed using the Physical Performance Test, Six-Minute Walk Test, and Timed Up and Go, respectively. RESULTS Mean percent time spent sedentary was 93.9 ± 4.1% and percent time in light activity was 5.1 ± 2.4%. When controlling for baseline performance, the mean time spent sedentary per day was significantly related to Physical Performance Test performance at discharge (r = -0.37; P = .05), but not the Six-Minute Walk Test or Timed Up and Go. DISCUSSION AND CONCLUSIONS Patients with acute stroke were sedentary most of their hospital stay. To minimize the potential negative effects of inactivity, our data suggest that there should be greater emphasis on increasing physical activity during the hospital stay.Video Abstract Available for more insights from the authors (Supplemental Digital Content 1, http://links.lww.com/JNPT/A101).
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17
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Does activity limitation predict discharge destination for postacute care patients? Am J Phys Med Rehabil 2015; 93:782-90. [PMID: 24800717 DOI: 10.1097/phm.0000000000000097] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE This study aimed to examine the ability of different domains of activity limitation to predict discharge destination (home vs. nonhome settings) 1 mo after hospital discharge for postacute rehabilitation patients. DESIGN A secondary analysis was conducted using a data set of 518 adults with neurologic, lower extremity orthopedic, and complex medical conditions followed after discharge from a hospital into postacute care. Variables collected at baseline include activity limitations (basic mobility, daily activity, and applied cognitive function, measured by the Activity Measure for Post-Acute Care), demographics, diagnosis, and cognitive status. The discharge destination was recorded at 1 mo after being discharged from the hospital. RESULTS Correlational analyses revealed that the 1-mo discharge destination was correlated with two domains of activity (basic mobility and daily activity) and cognitive status. However, multiple logistic regression and receiver operating characteristic curve analyses showed that basic mobility functioning performed the best in discriminating home vs. nonhome living. CONCLUSIONS This study supported the evidence that basic mobility functioning is a critical determinant of discharge home for postacute rehabilitation patients. The Activity Measure for Post-Acute Care-basic mobility showed good usability in discriminating home vs. nonhome living. The findings shed light on the importance of basic mobility functioning in the discharge planning process.
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Zhou YY, Wong W, Li H. Improving care for older adults: a model to segment the senior population. Perm J 2014; 18:18-21. [PMID: 24937151 DOI: 10.7812/tpp/14-005] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
CONTEXT Risk stratification and tailored interventions are key population-level care management strategies among older adults, whose needs range from screening and prevention to end-of-life care. OBJECTIVE To validate the Senior Segmentation Algorithm, a tool using administrative and clinical data from the electronic health record to identify each member aged 65 years and older as belonging to 1 of 4 Care Groups with similar needs: those without chronic conditions, with one or more chronic conditions, with advanced illness or end-organ failure, or with extreme frailty or nearing the end of life. DESIGN Multiple validation methods. MAIN OUTCOME MEASURES Concordance with physician judgment, stability of segmentation over time, convergence with mortality, hospitalization, and readmission rates, and costs of care. RESULTS Concordance of the algorithm with physician-assessed segmentation of 1615 Medicare recipients was 85%. After 1 year, approximately 85% of 86,140 surviving seniors remained in the same care group; 3.9% moved to a lower need group; and 11% moved to a higher need group. Six-month and 12-month mortality rates varied substantially across care groups. The algorithm performed similarly to the likelihood of hospitalization score in predicting hospitalization and readmissions. CONCLUSIONS The Senior Segmentation Algorithm accurately identifies older adults in care groups with similar needs, trajectories, and utilization patterns. It is being implemented in all Kaiser Permanente Regions, with the goal of determining key elements of care for members in each group. In addition, future efforts will aim to slow progression to higher need care groups and to identify necessary improvements in delivery system design.
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Affiliation(s)
- Yi Yvonne Zhou
- Director of Health Intelligence and Analytics for Northwest Permanente in Portland, OR.
| | - Warren Wong
- Clinical Professor of Geriatric Medicine in the School of Medicine at the University of Hawaii in Honolulu.
| | - Hui Li
- Information Analyst in Health Intelligence and Analytics for Northwest Permanente in Portland, OR.
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Chang EY, Chang EH, Cragg S, Cramer SC. Predictors of Gains During Inpatient Rehabilitation in Patients with Stroke- A Review. ACTA ACUST UNITED AC 2013; 25:203-221. [PMID: 25541570 DOI: 10.1615/critrevphysrehabilmed.2013008120] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Stroke remains a major cause of disability. The cost of stroke rehabilitation is substantial. Understanding the factors that predict response to inpatient stroke rehabilitation may be useful, for example, to best individualize the content of therapy, or to maximize the efficiency with which resources are directed. This review reviewed the literature and found that numerous variables were associated with outcome after inpatient stroke rehabilitation. The strongest evidence exists for factors such as age, stroke subtype, nutritional status, psychosocial factors such as living with family prior to stroke or presence of a caregiver. Functional status on admission, urinary incontinence, post-stroke infection, and aphasia each can also impact prognosis. Strengths and weaknesses of cited studies are considered in an attempt to inform design of future studies examining the factors that predict response to inpatient rehabilitation after stroke.
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Affiliation(s)
- Eric Y Chang
- Division of Pain Medicine Department of Anesthesiology & Perioperative Care Department of Physical Medicine & Rehabilitation Reeve-Irvine Research Center for Spinal Cord Injury University of California, Irvine
| | - Enoch H Chang
- Department of Physical Medicine & Rehabilitation University of California, Irvine
| | - Samantha Cragg
- Department of Physical Medicine & Rehabilitation University of California, Irvine
| | - Steven C Cramer
- Department of Neurology Department of Anatomy & Neurobiology Department of Physical Medicine & Rehabilitation University of California, Irvine
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