Background Implementation of an eRehabilitation intervention named Fit After Stroke @Home (Fast@home) - including cognitive/physical exercise applications, activity-tracking, psycho-education -... Show moreBackground Implementation of an eRehabilitation intervention named Fit After Stroke @Home (Fast@home) - including cognitive/physical exercise applications, activity-tracking, psycho-education - after stroke resulted in health-related improvements. This study investigated what worked and why in the implementation. Methods Implementation activities (information provision, integration of Fast@home, instruction and motivation) were performed for 14 months and evaluated, using the Medical Research Council framework for process evaluations which consists of three evaluation domains (implementation, mechanisms of impact and contextual factors). Implementation activities were evaluated by field notes/surveys/user data, it's mechanisms of impact by surveys and contextual factors by field notes/interviews among 11 professionals. Surveys were conducted among 51 professionals and 73 patients. User data (n = 165 patients) were extracted from the eRehabilitation applications. Results Implementation activities were executed as planned. Of the professionals trained to deliver the intervention (33 of 51), 25 (75.8%) delivered it. Of the 165 patients, 82 (49.7%) were registered for Fast@home, with 54 patient (65.8%) using it. Mechanisms of impact showed that professionals and patients were equally satisfied with implementation activities (median score 7.0 [IQR 6.0-7.75] versus 7.0 [6.0-7.5]), but patients were more satisfied with the intervention (8.0 [IQR 7.0-8.0] versus 5.5 [4.0-7.0]). Guidance by professionals was seen as most impactful for implementation by patients and support of clinical champions and time given for training by professionals. Professionals rated the integration of Fast@home as insufficient. Contextual factors (financial cutbacks and technical setbacks) hampered the implementation. Conclusion Main improvements of the implementation of eRehabilitation are related to professionals' perceptions of the intervention, integration of eRehabilitation and contextual factors.Implication for rehabilitation To increase the use of eRehabilitation by patients, patients should be supported by their healthcare professional in their first time use and during the rehabilitation process. To increase the use of eRehabilitation by healthcare professionals, healthcare professionals should be (1) supported by a clinical champion and (2) provided with sufficient time for learning to work and getting familiar with the eRehabilitation program. Integration of eRehabilitation in conventional stroke rehabilitation (optimal blended care) is an important challenge and a prerequisite for the implementation of eRehabilitation in the clinical setting. Show less
Aim Although referral to phase 2 cardiac rehabilitation (CR) following open-heart surgery is recommended in professional guidelines, according to the literature, participation rates are suboptimal.... Show moreAim Although referral to phase 2 cardiac rehabilitation (CR) following open-heart surgery is recommended in professional guidelines, according to the literature, participation rates are suboptimal. This study investigates the referral and enrolment rates, as well as determinants for these rates, for phase 2 CR following open-heart surgery via sternotomy. Methods A cross-sectional survey study was conducted among patients who underwent open-heart surgery via sternotomy in a university hospital. Data on referral and enrolment rates and possible factors associated with these rates (age, sex, type of surgery, educational level, living status, employment, income, ethnicity) were collected by a questionnaire or from the patient's medical file. Univariate logistic regression analysis (odds ratio) was used to study associations of patient characteristics with referral and enrolment rates. Results Of the 717 eligible patients, 364 (51%) completed the questionnaire. Their median age was 68 years (interquartile range 61-74) and 82 (23%) were female. Rates for referral to and enrolment in phase 2 CR were 307 (84%) and 315 (87%), respectively. Female sex and older age were independently associated with both non-referral and non-enrolment. Additional factors for non-enrolment were surgery type (coronary artery bypass grafting with valve surgery and miscellaneous types of relatively rare surgery), living alone and below-average income. Conclusion Phase 2 CR referral and enrolment rates for patients following open-heart surgery were well over 80%, suggesting adequate adherence to professional guidelines. During consultation, physicians and specialised nurses should pay more attention to certain patient groups (at risk of non-enrolment females and elderly). In addition, in-depth qualitative research to identify reasons for non-referral and/or non-enrolment is needed. Show less
Objective: To estimate societal costs and changes in health-related quality of life in stroke patients, up to one year after start of medical specialist rehabilitation.& nbsp; Design:... Show moreObjective: To estimate societal costs and changes in health-related quality of life in stroke patients, up to one year after start of medical specialist rehabilitation.& nbsp; Design: Observational.& nbsp; Patients: Consecutive patients who received med ical specialist rehabilitation in the Stroke Cohort Out-comes of REhabilitation (SCORE) study.& nbsp; Methods: Participants completed questionnaires on health-related quality of life (EuroQol EQ-5D-3L), absenteeism, out-of-pocket costs and healthcare use at start and end of rehabilitation and 6 and 12 months after start. Clinical characteristics and reha-bilitation costs were extracted from the medical and financial records, respectively.& nbsp; Results: From 2014 to 2016 a total of 313 stroke patients completed the study. Mean age was 59 (standard deviation (SD) 12) years, 185 (59%) were male, and 244 (78%) inpatients. Mean costs for inpatient and outpatient rehabilitation were US$70,601 and US$27,473, respectively. For in-patients, utility (an expression of quality of life) in-creased significantly between baseline and 6 months (EQ-5D-3L 0.66 & ndash;0.73, p = 0.01; visual analogue scale 0.77 & ndash;0.82, p < 0.001) and between baseline and 12 months (visual analogue scale 0.77 & ndash;0.81, p < 0.001).& nbsp; Conclusion: One-year societal costs from after the start of rehabilitation in stroke patients were con-siderable. Future research should also include costs prior to rehabilitation. For inpatients, health-related quality of life, expressed in terms of utility, improved significantly over time. Show less
Objective: To compare the effect on disability and quality of life, of conventional rehabilitation (control group) with individualized, tailored eRehabilitation intervention alongside conventional... Show moreObjective: To compare the effect on disability and quality of life, of conventional rehabilitation (control group) with individualized, tailored eRehabilitation intervention alongside conventional rehabilitation (Fast@home; intervention group), for people with stroke.Methods: Pre-post design. The intervention comprised cognitive (Braingymmer (R)) and physical (Telere-validatie (R)/Physitrack (R)) exercises, activity-tracking (Activ8 (R)) and psycho-education. Assessments were made at admission (T0) and after 3 (T3) and 6 months (T6). The primary outcome concerned disability (Stroke Impact Scale; SIS). Secondary outcomes were: health-related qual-ity of life, fatigue, self-management, participation and physical activity. Changes in scores be-tween T0-T3, T3-T6, and T0-T6 were compared by analysis of variance and linear mixed models.Results: The study included 153 and 165 people with stroke in the control and intervention groups, respectively. In the intervention group, 82 (50%) people received the intervention, of whom 54 (66%) used it. Between T3 and T6, the change in scores for the SIS subscales Communication (control group/ intervention group -1.7/-0.3) and Physical strength (-5.7/3.3) were significantly greater in the total intervention group (all mean differences< minimally clinically important differences). No significant differences were found for other SIS subscales or secondary outcomes, or between T0-T3 and T0-T6.Conclusion: eRehabilitation alongside conventional stroke rehabilitation had a small positive effect on communication and physical strength on the longer term, compared to conventional rehabilitation only. Show less
Allonsius, F.; Kloet, A.J. de; Markus-Doornbosch, F. van; Meesters, J.J.L.; Kromme, C.H.; Vlieland, T.P.M.V.; Holst, M. van der 2021
Purpose: To increase knowledge/awareness on family impact (FI) after acquired brain injury (ABI) in rehabilitation settings, it is essential to investigate the associations between patient... Show morePurpose: To increase knowledge/awareness on family impact (FI) after acquired brain injury (ABI) in rehabilitation settings, it is essential to investigate the associations between patient-functioning and impact on families. This has been explored in hospital-based cohorts, but not in rehabilitation settings.Methods: A cross-sectional, multi-center study among parents of children/young adults (aged 57-<24 years) with ABI referred to rehabilitation was performed. Patient/injury/family-characteristics were noted, and parents completed the PedsQL (TM) Family-Impact-Module and PedsQL (TM) generic-core-4.0 to assess FI and health-related quality of life (HRQoL). Univariate- and multivariable-regression analyses were performed to investigate associations between HRQoL/patient/injury/family-related factors and FI.Results: 246 families participated; patients' median age was 14 year (IQR 117-<16), 65 had non-traumatic-brain-injury (nTBI) (26%), 127 were female. FI was found to be considerable (median FIM-score 71.9, IQR:60-85). Especially referral to rehabilitation >6 months after onset, diminished patients' mental/emotional health and HRQoL (child/family factors), and premorbid problems were associated with higher FI.Conclusions: In this rehabilitation cohort, pediatric ABI caused considerably higher FI than in hospital-based studies with referral to rehabilitation >6 months, diminished child/family factors and presence of premorbid problems increasing FI. Assessing and monitoring FI and its associated factors enables professionals to individualize treatment, psychoeducation, support and follow-up. Show less
Background: Compliance rates with patient-reported outcome measures (PROMs) collected alongside arthroplasty registries vary in the literature. We described the feasibility of a routinely collected... Show moreBackground: Compliance rates with patient-reported outcome measures (PROMs) collected alongside arthroplasty registries vary in the literature. We described the feasibility of a routinely collected set PROMs alongside the Dutch Arthroplasty Register. Methods: The longitudinal Leiden Orthopaedics Outcomes of OsteoArthritis Study is a multicenter (7 hospitals), observational study including patients undergoing total hip or total knee arthroplasty (THA or TKA). A set of PROMs: Short Form-12, EuroQol 5 Dimensions, Hip/Knee injury and Osteoarthritis Outcome Score, Oxford Hip/Knee Score was collected preoperatively and at 6, 12, 24 months, and every 2 years thereafter. Participation rates and response rates were recorded. Results: Between June 2012 and December 2014, 1796 THA and 1636 TKA patients were invited, of whom 1043 THA (58%; mean age 68 years [standard deviation, SD: 10]) and 970 TKA patients (59%; mean age 71 years [SD 9.5]) participated in the study. At 6 months, 35 THA/38 TKA patients were lost to follow-up. Response rates were 90% for THA (898/1000) and 89% for TKA (827/932) participants. At 1 and 2 years, 8 and 18 THA and 17 and 11 TKA patients were lost to follow-up, respectively. The response rates among those eligible were 87% (866/992) and 84% (812/972) for THA and 84% (771/917) and 83% (756/906) for TKA patients, respectively. The 2-year questionnaire was completed by 78.5% of the included THA patients and by 77.9% of the included TKA patients. Conclusions: About 60% of patients undergoing THA or TKA complete PROMs preoperatively, with more than 80% returning follow-up PROMs. To increase the participation rates, more efforts concerning the initial recruitment of patients are needed. Show less
Aim:To describe the course of depressive symptoms during the first 12 months post-stroke and its association with unmet needs. Methods:A prospective cohort study among stroke patients admitted to... Show moreAim:To describe the course of depressive symptoms during the first 12 months post-stroke and its association with unmet needs. Methods:A prospective cohort study among stroke patients admitted to inpatient rehabilitation. Depressive symptoms were assessed 3, 6, and 12 months post-stroke using the Hospital Anxiety and Depression Scale, and categorized into three trajectories: no (all times <8), non-consistent (one or two times >= 8), or persistent (all times >= 8) depressive symptoms. Unmet needs were assessed using the Longer-Term Unmet Needs questionnaire. Multivariable logistic regression analyses were used to investigate the association between depressive symptoms and unmet needs. Results:One hundred and fifty-one patients were included, of whom 95 (62.9%), 38 (25.2%), and 18 (11.9%) had no, non-consistent, or persistent depressive symptoms, respectively. Depressive symptoms three months post-stroke persisted in 43.9% and recurred in 19.5% of patients during the first 12 months post-stroke. Depressive symptoms were significantly associated with the occurrence and number of unmet needs (odds ratio 6.49;p = 0.003 and odds ratio 1.28;p = 0.005, respectively). Conclusions:Depressive symptoms three months post-stroke were likely to persist or recur during the first 12 months post-stroke. Depressive symptoms are associated with unmet needs. These results suggest that routine monitoring of depressive symptoms and unmet needs should be considered post-stroke. Show less
Brouns, B.; Bodegom-Vos, L. van; Kloet, A. de; Vlieland, T.P.M.V.; Gil, I.L.C.; Souza, L.M.N.; ... ; Meesters, J.J.L. 2020
Background To improve the use of eRehabilitation after stroke, the identification of barriers and facilitators influencing this use in different healthcare contexts around the world is needed.... Show moreBackground To improve the use of eRehabilitation after stroke, the identification of barriers and facilitators influencing this use in different healthcare contexts around the world is needed. Therefore, this study aims to investigate differences and similarities in factors influencing the use of eRehabilitation after stroke among Brazilian Healthcare Professionals (BHP) and Dutch Healthcare Professionals (DHP). Method A cross-sectional survey study including 88 statements about factors related to the use of eRehabilitation (4-point Likert scale; 1-4; unimportant-important/disagree-agree). The survey was conducted among BHP and DHP (physical therapists, rehabilitating physicians and psychologists). Descriptive statistics were used to analyse differences and similarities in factors influencing the use of eRehabilitation. Results ninety-nine (response rate 30%) BHP and 105 (response rate 37%) DHP participated. Differences were found in the top-10 most influencing statements between BHP and DHP BHP rated the following factors as most important: sufficient support from the organisation (e.g. the rehabilitation centre) concerning resources and time, and potential benefits of the use of eRehabilitation for the patient. DHP rated the feasibility of the use of eRehabilitation for the patient (e.g. a helpdesk and good instructions) as most important for effective uptake. Top-10 least important statements were mostly similar; both BHP and DHP rated problems caused by stroke (e.g. aphasia or cognitive problems) or problems with resources (e.g. hardware and software) as least important for the uptake of eRehabilitation. Conclusion The results indicate that the use of eRehabilitation after stroke by BHP and DHP is influenced by different factors. A tailored implementation strategy for both countries needs to be developed. Show less
Objective:The aim of this study was to evaluate the feasibility and preliminary effects of a multicomponent intervention to decrease sedentary time during and shortly after hospitalization.Design... Show moreObjective:The aim of this study was to evaluate the feasibility and preliminary effects of a multicomponent intervention to decrease sedentary time during and shortly after hospitalization.Design:This is a quasi-experimental pilot study comparing outcomes in patients admitted before and after the implementation of the intervention.Setting:The study was conducted in a university hospital.Subjects:Participants were adult patients undergoing elective organ transplantation or vascular surgery.Interventions:In the control phase, patients received usual care, whereas in the intervention phase, patients also received a multicomponent intervention to decrease sedentary time. The intervention comprised eight elements: paper and digital information, an exercise movie, an activity planner, a pedometer and Fitbit Flex (TM), a personal activity coach and an individualized digital training program.Measures:Measures of feasiblity were the self-reported use of the intervention components (yes/no) and satisfaction (low-high = 0-10). Main outcome measure was the median % of sedentary time measured by an accelerometer worn during hospitalization and 7-14 days thereafter.Results:A total of 42 controls (mean age = 59 years, 62% male) and 52 intervention patients (58 years, 52%) were included. The exercise movie, paper information and Fitbit Flex were the three most frequently used components, with highest satisfaction scores for the fitbit, paper information, exercise movie and digital training. Median sedentary time decreased from 99.6% to 95.7% and 99.3% to 91.0% between Days 1 and 6 in patients admitted in the control and intervention phases, respectively. The difference at Day 6 reached statistical significance (difference = 41 min/day, P = 0.01). No differences were seen after discharge.Conclusion:Implementing a multicomponent intervention to reduce sedentary time appeared feasible and may be effective during but not directly after hospitalization. Show less
To describe sexual functioning/satisfaction and relational satisfaction of patients with stroke who received sexual counselling during their rehabilitation 1-5 years thereafter. All adult patients... Show moreTo describe sexual functioning/satisfaction and relational satisfaction of patients with stroke who received sexual counselling during their rehabilitation 1-5 years thereafter. All adult patients with stroke admitted to one Dutch Rehabilitation Centre between January 2010 and January 2014 with at least two consultations with a sexologist were invited to participate in this cross-sectional survey study. Patients were asked to complete a questionnaire on sexual functioning, relational satisfaction (Maudsley Marital Questionnaire, 0-80; low-high dissatisfaction), health-related quality of life (HRQoL) short-form12 (SF-12) mental and physical component scale (MCS and PCS; 0-100, low-high HRQoL) and mood Hospital Anxiety Depression Scale (HADS, 0-21 low-high depression/anxiety). Descriptive statistics were used for sexual functioning/satisfaction and relational satisfaction. Spearmans's correlation analysis (rs) analyzed the relationships between sexual satisfaction, relational satisfaction, PCS, MCS, depression and anxiety. Of 296 eligible patients, 62 (21%) completed the questionnaires. Mean age 55.4 (SD11.0) years, time-since-stroke 3.5 (SD3.6) years, 33 (53%) were male and 18 (29%) were single. Being sexually (very) unsatisfied was reported by 31 (54%) responders, with 63% being male and 44% female. Median MMQ-score relational satisfaction was 12.0 (IQR 4.25-23.25). A moderate correlation was present between sexual and relational satisfaction (rs = 0.35, p = 0.02). In male respondents relational satisfaction was highly correlated with lower levels of anxiety (rs = 0.54, p = 0.01) and depressive symptoms (rs = 0.71, p = 0.00). Patients with stroke who received sexual counselling during their rehabilitation treatment experience high relational satisfaction in the long term after stroke, despite their problems in sexual functioning. Show less
Rooij, M. de; Leeden, M. van der; Esch, M. van der; Lems, W.F.; Meesters, J.J.L.; Peter, W.F.; ... ; Dekker, J. 2020
Objective The objectives of the present study were to: (1) evaluate the effect of an educational course on competence (knowledge and clinical reasoning) of primary care physical therapists (PTs) in... Show moreObjective The objectives of the present study were to: (1) evaluate the effect of an educational course on competence (knowledge and clinical reasoning) of primary care physical therapists (PTs) in treating patients with knee osteoarthritis (KOA) and comorbidity according to the developed strategy; and (2) identify facilitators and barriers for usage. Method The present research was an observational study with a pretest-posttest design using mixed methods. PTs were offered a postgraduate course consisting of e-learning and two workshops (blended education) on the application of a strategy for exercise prescription in patients with KOA and comorbidity. Competences were measured by questionnaire on knowledge (administered before and 2 weeks after the course), and a patient vignette to measure clinical reasoning (administered before the course and after a 6 month period of treating patients). Facilitators and barriers for using the strategy were assessed by a questionnaire and semi-structured interviews. Results Thirty-four PTs were included. Competence (knowledge and clinical reasoning) improved significantly (p < 0.01). Fourteen out of 34 PTs had actually treated patients with KOA and comorbidity, during a 6-month period. The strategy was found to be feasible in daily practice. The main barriers included the limited number of (self-) referrals of patients, limited number of reimbursed treatment sessions by insurance companies and a suboptimal collaboration with (referring) physicians. Conclusion A blended course on exercise therapy for patients with KOA and comorbidity seems to improve PTs' competence through increasing knowledge and clinical reasoning skills. Identified barriers should be solved before large-scale implementation of exercise therapy can take place in these complex patients. Show less
Markus-Doornbosch, F. van; Holst, M. van der; Kloet, A.J. de; Vlieland, T.P.M.V.; Meesters, J.J.L. 2019
Purpose: To study the association between fatigue and participation and QoL after acquired brain injury (ABI) in adolescents and young adults (AYAs). Materials & Methods: Cross-sectional study... Show morePurpose: To study the association between fatigue and participation and QoL after acquired brain injury (ABI) in adolescents and young adults (AYAs). Materials & Methods: Cross-sectional study with AYAs aged 14-25 years, diagnosed with ABI. The PedsQL (TM) Multidimensional Fatigue Scale, Child & Adolescent Scale of Participation, and PedsQL (TM) 4.0 Generic Core Scales were administered. Results: Sixty-four AYAs participated in the study, 47 with traumatic brain injury (TBI). Median age at admission was 17.6 yrs, 0.8 yrs since injury. High levels of fatigue (median 44.4 (IQR 34.7, 59.7)), limited participation (median 82.5 (IQR 68.8, 92.3)), and diminished QoL (median 63.0 (IQR 47.8, 78.3)) were reported. More fatigue was significantly associated with more participation restrictions (beta 0.64, 95%CI 0.44, 0.85) and diminished QoL (beta 0.87, 95%CI 0.72, 1.02). Conclusions: AYAs with ABI reported high levels of fatigue, limited participation and diminished quality of life with a significant association between fatigue and both participation and QoL. Targeting fatigue in rehabilitation treatment could potentially improve participation and QoL. Show less
Objectives: To describe health care use and its associated factors in the chronic phase after stroke. Methods: Patients completed a questionnaire on health care use, 58 years after hospital... Show moreObjectives: To describe health care use and its associated factors in the chronic phase after stroke. Methods: Patients completed a questionnaire on health care use, 58 years after hospital admission for stroke. It comprised the number of visits to physicians or other health care professionals over the past 6 months (Physician-visits; Low <= 1 or High >= 2) and other health care professionals (Low = 0 or High >= 1). In addition the Longer-term Unmet Needs after Stroke (LUNS), Frenchay Activity Index (FAI) and Physical and Mental Component Summary Scales of the Short Form 12 (PCS and MCS) were administered. Their associations with health care use (high, low) were determined by means of logistic regression analysis, adjusted for sex and age. Results: Seventy-eight of 145 patients (54%) returned the questionnaires; mean time-since-stroke was 80.3 months (SD10.2), age-at-stroke 61.7 years (SD13.8), and 46 (59%) were male. Physician contacts concerned mainly the general practitioner (58; 79.5%). Forty-one (52.6%) and 37 (47.4%) of the patients had a high use of physician and other health professionals visits, respectively. Worse PCS scores were associated with both high use of physician and other health professionals visits (OR.931; 95%CI.877-.987 and OR.941; 95%CI.891-.993, respectively), whereas the FAI, MCS, or LUNS were not related to health care use. Conclusions: Health care use after stroke is substantial and is related to physical aspects of health status, not to mental aspects, activities or unmet needs, suggesting a mismatch between patients' needs and care delivered. Show less
Brouns, B.; Meesters, J.J.L.; Wentink, M.M.; Kloet, A.J. de; Arwert, H.J.; Boyce, L.W.; ... ; Bodegom-Vos, L. van 2019
Background: Patient's expectations of the outcomes of rehabilitation may influence the outcomes and satisfaction with treatment.Objectives: For stroke patients in multidisciplinary rehabilitation,... Show moreBackground: Patient's expectations of the outcomes of rehabilitation may influence the outcomes and satisfaction with treatment.Objectives: For stroke patients in multidisciplinary rehabilitation, we aimed to explore patient's outcome expectations and their fulfilment as well as determinants.Methods: The Stroke Cohort Outcomes of REhabilitation (SCORE) study included consecutive stroke patients admitted to an inpatient rehabilitation facility after hospitalisation. Outcome expectations were assessed at the start of rehabilitation (admission) by using the three-item Expectancy scale (sum score range 3-27) of the Credibility/Expectancy Questionnaire (CEQ). After rehabilitation, patients answered the same questions formulated in the past tense to assess fulfilment of expectations. Baseline patient characteristics were recorded and health-related quality of life (EQ-5D) was measured at baseline and after rehabilitation. The number of patients with expectations unfulfilled or fulfilled or exceeded was computed by subtracting the admission and discharge CEQ Expectancy scores. Multivariable regression analysis was used to determine the factors associated with outcome expectations and their fulfilment, estimating odds ratios (ORs) and 95% confidence intervals (CIs).Results: We included 165 patients (96 males [58.2%], mean (SD) age 60.2 years [12.7]) who completed the CEQ Expectancy instrument at admission (median score 21.6, interquartile range [IQR] 17.0-24.0); 79 completed it both at admission (median score 20.6, IQR 16.6-24.4) and follow-up (median score 20.0, IQR 16.4-22.8). For 40 (50.6%) patients, expectations of therapy were fulfilled or exceeded. No patient characteristic at admission was associated with baseline CEQ Expectancy score. Odds of expectation fulfilment were associated with low expectations at admission (OR 0.70, 95% CI 0.60-0.83) and improved EQ-5D score (OR 1.35, 95% CI 1.04-0.75).Conclusions: In half of the stroke patients in multidisciplinary rehabilitation, expectations were fulfilled or exceeded, most likely in patients with low expectations at admission and with improved health-related quality of life. More research into the role of health professionals regarding the measurement, shaping and management of outcome expectations is needed. (C) 2018 Elsevier Masson SAS. All rights reserved. Show less
