Ziel:
Untersucht wurden subjektive bio-psycho-soziale Auswirkungen chronischer Herz- und Gefäßerkrankungen, Bewältigungsstrategien und Formen sozialer Unterstützung bei Rehabilitanden in besonderen beruflichen Problemlagen (BBPL).
Methodik:
Für die qualitative Untersuchung wurden 17 Patienten (48,9±7,0 Jahre, 13 männl.) mit BBPL (SIMBO-C>30) in leitfadengestützten Interviews befragt. Die Auswertung erfolgte softwaregestützt nach dem inhaltsanalytischen Ansatz von Mayring.
Ergebnisse:
Im Rahmen der Krankheitsauswirkungen benannten die Patienten soziale, einschließlich beruflicher Aspekte mit 62% der Aussagen deutlich häufiger als physische oder psychische Faktoren (9 bzw. 29%). Angewandte Bewältigungsstrategien und erfahrene Unterstützungsleistungen richteten sich jedoch überwiegend auf körperliche Einschränkungen (70 bzw. 45%).
Schlussfolgerung:
Obgleich soziale Krankheitsauswirkungen für die befragten Rehabilitanden subjektiv bedeutsam waren, gelang die Entwicklung geeigneter Bewältigungsstrategien nur unzureichen
Objective: We aimed to characterize patients after an acute cardiac event regarding their negative expectations around returning to work and the impact on work capacity upon discharge from cardiac rehabilitation (CR).
Methods: We analyzed routine data of 884 patients (52±7 years, 76% men) who attended 3 weeks of inpatient CR after an acute coronary syndrome (ACS) or cardiac surgery between October 2013 and March 2015. The primary outcome was their status determining their capacity to work (fit vs unfit) at discharge from CR. Further, sociodemographic data (eg, age, sex, and education level), diagnoses, functional data (eg, exercise stress test and 6-min walking test [6MWT]), the Hospital Anxiety and Depression Scale (HADS) and self-assessment of the occupational prognosis (negative expectations and/or unemployment, Würzburger screening) at admission to CR were considered.
Results: A negative occupational prognosis was detected in 384 patients (43%). Out of these, 368 (96%) expected not to return to work after CR and/or were unemployed before CR at 29% (n=113). Affected patients showed a reduced exercise capacity (bicycle stress test: 100 W vs 118 W, P<0.01; 6MWT: 380 m vs 421 m, P<0.01) and were more likely to receive a depression diagnosis (12% vs 3%, P<0.01), as well as higher levels on the HADS. At discharge from CR, 21% of this group (n=81) were fit for work (vs 35% of patients with a normal occupational prognosis (n=175, P<0.01)). Sick leave before the cardiac event (OR 0.4, 95% CI 0.2–0.6, P<0.01), negative occupational expectations (OR 0.4, 95% CI 0.3–0.7, P<0.01) and depression (OR 0.3, 95% CI 0.1–0.8, P=0.01) reduced the likelihood of achieving work capacity upon discharge. In contrast, higher exercise capacity was positively associated.
Conclusion: Patients with a negative occupational prognosis often revealed a reduced physical performance and suffered from a high psychosocial burden. In addition, patients’ occupational expectations were a predictor of work capacity at discharge from CR. Affected patients should be identified at admission to allow for targeted psychosocial care.
Objective: We aimed to characterize patients after an acute cardiac event regarding their negative expectations around returning to work and the impact on work capacity upon discharge from cardiac rehabilitation (CR).
Methods: We analyzed routine data of 884 patients (52±7 years, 76% men) who attended 3 weeks of inpatient CR after an acute coronary syndrome (ACS) or cardiac surgery between October 2013 and March 2015. The primary outcome was their status determining their capacity to work (fit vs unfit) at discharge from CR. Further, sociodemographic data (eg, age, sex, and education level), diagnoses, functional data (eg, exercise stress test and 6-min walking test [6MWT]), the Hospital Anxiety and Depression Scale (HADS) and self-assessment of the occupational prognosis (negative expectations and/or unemployment, Würzburger screening) at admission to CR were considered.
Results: A negative occupational prognosis was detected in 384 patients (43%). Out of these, 368 (96%) expected not to return to work after CR and/or were unemployed before CR at 29% (n=113). Affected patients showed a reduced exercise capacity (bicycle stress test: 100 W vs 118 W, P<0.01; 6MWT: 380 m vs 421 m, P<0.01) and were more likely to receive a depression diagnosis (12% vs 3%, P<0.01), as well as higher levels on the HADS. At discharge from CR, 21% of this group (n=81) were fit for work (vs 35% of patients with a normal occupational prognosis (n=175, P<0.01)). Sick leave before the cardiac event (OR 0.4, 95% CI 0.2–0.6, P<0.01), negative occupational expectations (OR 0.4, 95% CI 0.3–0.7, P<0.01) and depression (OR 0.3, 95% CI 0.1–0.8, P=0.01) reduced the likelihood of achieving work capacity upon discharge. In contrast, higher exercise capacity was positively associated.
Conclusion: Patients with a negative occupational prognosis often revealed a reduced physical performance and suffered from a high psychosocial burden. In addition, patients’ occupational expectations were a predictor of work capacity at discharge from CR. Affected patients should be identified at admission to allow for targeted psychosocial care.
Background
Outcome quality management requires the consecutive registration of defined variables. The aim was to identify relevant parameters in order to objectively assess the in-patient rehabilitation outcome.
Methods
From February 2009 to June 2010 1253 patients (70.9 ± 7.0 years, 78.1% men) at 12 rehabilitation clinics were enrolled. Items concerning sociodemographic data, the impairment group (surgery, conservative/interventional treatment), cardiovascular risk factors, structural and functional parameters and subjective health were tested in respect of their measurability, sensitivity to change and their propensity to be influenced by rehabilitation.
Results
The majority of patients (61.1%) were referred for rehabilitation after cardiac surgery, 38.9% after conservative or interventional treatment for an acute coronary syndrome. Functionally relevant comorbidities were seen in 49.2% (diabetes mellitus, stroke, peripheral artery disease, chronic obstructive lung disease). In three key areas 13 parameters were identified as being sensitive to change and subject to modification by rehabilitation: cardiovascular risk factors (blood pressure, low-density lipoprotein cholesterol, triglycerides), exercise capacity (resting heart rate, maximal exercise capacity, maximal walking distance, heart failure, angina pectoris) and subjective health (IRES-24 (indicators of rehabilitation status): pain, somatic health, psychological well-being and depression as well as anxiety on the Hospital Anxiety and Depression Scale).
Conclusion
The outcome of in-patient rehabilitation in elderly patients can be comprehensively assessed by the identification of appropriate key areas, that is, cardiovascular risk factors, exercise capacity and subjective health. This may well serve as a benchmark for internal and external quality management.
Background
Despite numerous studies and meta-analyses the prognostic effect of cardiac rehabilitation is still under debate. This update of the Cardiac Rehabilitation Outcome Study (CROS II) provides a contemporary and practice focused approach including only cardiac rehabilitation interventions based on published standards and core components to evaluate cardiac rehabilitation delivery and effectiveness in improving patient prognosis.
Design
A systematic review and meta-analysis.
Methods
Randomised controlled trials and retrospective and prospective controlled cohort studies evaluating patients after acute coronary syndrome, coronary artery bypass grafting or mixed populations with coronary artery disease published until September 2018 were included.
Resulte
Based on CROS inclusion criteria out of 7096 abstracts six additional studies including 8671 patients were identified (two randomised controlled trials, two retrospective controlled cohort studies, two prospective controlled cohort studies). In total, 31 studies including 228,337 patients were available for this meta-analysis (three randomised controlled trials, nine prospective controlled cohort studies, 19 retrospective controlled cohort studies; 50,653 patients after acute coronary syndrome 14,583, after coronary artery bypass grafting 163,101, mixed coronary artery disease populations; follow-up periods ranging from 9 months to 14 years). Heterogeneity in design, cardiac rehabilitation delivery, biometrical assessment and potential confounders was considerable. Controlled cohort studies showed a significantly reduced total mortality (primary endpoint) after cardiac rehabilitation participation in patients after acute coronary syndrome (prospective controlled cohort studies: hazard ratio (HR) 0.37, 95% confidence interval (CI) 0.20-0.69; retrospective controlled cohort studies HR 0.64, 95% CI 0.53-0.76; prospective controlled cohort studies odds ratio 0.20, 95% CI 0.08-0.48), but the single randomised controlled trial fulfilling the CROS inclusion criteria showed neutral results. Cardiac rehabilitation participation was also associated with reduced total mortality in patients after coronary artery bypass grafting (retrospective controlled cohort studies HR 0.62, 95% CI 0.54-0.70, one single randomised controlled trial without fatal events), and in mixed coronary artery disease populations (retrospective controlled cohort studies HR 0.52, 95% CI 0.36-0.77; two out of 10 controlled cohort studies with neutral results).
Conclusion
CROS II confirms the effectiveness of cardiac rehabilitation participation after acute coronary syndrome and after coronary artery bypass grafting in actual clinical practice by reducing total mortality under the conditions of current evidence-based coronary artery disease treatment. The data of CROS II, however, underscore the urgent need to define internationally accepted minimal standards for cardiac rehabilitation delivery as well as for scientific evaluation.
Background
Although associations between cardiovascular diseases and cognitive impairment are well known, the impact of cognitive performance on the success of patient education as a core component of cardiac rehabilitation remains insufficiently investigated so far.
Design
Prospective observational study in two inpatient cardiac rehabilitation centres between September 2014 and August 2015 with a follow-up six months after cardiac rehabilitation.
Method
At admission to and discharge from cardiac rehabilitation, the cognitive performance of 401 patients (54.5 ± 6.3 years, 80% men) following an acute coronary syndrome and/or coronary artery bypass graft was tested using the Montreal Cognitive Assessment. Patients’ disease-related knowledge was determined using a quiz (22 items for medical knowledge and 12 items for healthy lifestyle and behaviour) at both times and at follow-up. The change in knowledge after cardiac rehabilitation was analysed in multivariable regression models. Potentially influencing parameters (e.g. level of education, medication, cardiovascular risk factors, coronary artery bypass graft, comorbidities, exercise capacity) were considered.
Results
During cardiac rehabilitation, disease-related knowledge was significantly enhanced in both scales. At follow-up, the average level of medical knowledge was significantly reduced, while lifestyle knowledge remained at a stable level. The maintenance of knowledge after cardiac rehabilitation was predominantly predicted by prior knowledge, cognitive performance at discharge from cardiac rehabilitation and, in the case of medical knowledge, by coronary artery bypass graft.
Conclusion
Patient education in cardiac rehabilitation led to enhanced disease-related knowledge, but the maintenance of this essentially depended on patients’ cognitive performance, especially after coronary artery bypass graft. Therefore, patient education concepts in cardiac rehabilitation should be reconsidered and adjusted as needed.
Introduction: Adequate cognitive function in patients is a prerequisite for successful implementation of patient education and lifestyle coping in comprehensive cardiac rehabilitation (CR) programs. Although the association between cardiovascular diseases and cognitive impairments (CIs) is well known, the prevalence particularly of mild CI in CR and the characteristics of affected patients have been insufficiently investigated so far.
Methods: In this prospective observational study, 496 patients (54.5 ± 6.2 years, 79.8% men) with coronary artery disease following an acute coronary event (ACE) were analyzed. Patients were enrolled within 14 days of discharge from the hospital in a 3-week inpatient CR program. Patients were tested for CI using the Montreal Cognitive Assessment (MoCA) upon admission to and discharge from CR. Additionally, sociodemographic, clinical, and physiological variables were documented. The data were analyzed descriptively and in a multivariate stepwise backward elimination regression model with respect to CI.
Results: At admission to CR, the CI (MoCA score < 26) was determined in 182 patients (36.7%). Significant differences between CI and no CI groups were identified, and CI group was associated with high prevalence of smoking (65.9 vs 56.7%, P = 0.046), heavy (physically demanding) workloads (26.4 vs 17.8%, P < 0.001), sick leave longer than 1 month prior to CR (28.6 vs 18.5%, P = 0.026), reduced exercise capacity (102.5 vs 118.8 W, P = 0.006), and a shorter 6-min walking distance (401.7 vs 421.3 m, P = 0.021) compared to no CI group. The age- and education-adjusted model showed positive associations with CI only for sick leave more than 1 month prior to ACE (odds ratio [OR] 1.673, 95% confidence interval 1.07–2.79; P = 0.03) and heavy workloads (OR 2.18, 95% confidence interval 1.42–3.36; P < 0.01).
Conclusion: The prevalence of CI in CR was considerably high, affecting more than one-third of cardiac patients. Besides age and education level, CI was associated with heavy workloads and a longer sick leave before ACE.
Introduction: Adequate cognitive function in patients is a prerequisite for successful implementation of patient education and lifestyle coping in comprehensive cardiac rehabilitation (CR) programs. Although the association between cardiovascular diseases and cognitive impairments (CIs) is well known, the prevalence particularly of mild CI in CR and the characteristics of affected patients have been insufficiently investigated so far.
Methods: In this prospective observational study, 496 patients (54.5 ± 6.2 years, 79.8% men) with coronary artery disease following an acute coronary event (ACE) were analyzed. Patients were enrolled within 14 days of discharge from the hospital in a 3-week inpatient CR program. Patients were tested for CI using the Montreal Cognitive Assessment (MoCA) upon admission to and discharge from CR. Additionally, sociodemographic, clinical, and physiological variables were documented. The data were analyzed descriptively and in a multivariate stepwise backward elimination regression model with respect to CI.
Results: At admission to CR, the CI (MoCA score < 26) was determined in 182 patients (36.7%). Significant differences between CI and no CI groups were identified, and CI group was associated with high prevalence of smoking (65.9 vs 56.7%, P = 0.046), heavy (physically demanding) workloads (26.4 vs 17.8%, P < 0.001), sick leave longer than 1 month prior to CR (28.6 vs 18.5%, P = 0.026), reduced exercise capacity (102.5 vs 118.8 W, P = 0.006), and a shorter 6-min walking distance (401.7 vs 421.3 m, P = 0.021) compared to no CI group. The age- and education-adjusted model showed positive associations with CI only for sick leave more than 1 month prior to ACE (odds ratio [OR] 1.673, 95% confidence interval 1.07–2.79; P = 0.03) and heavy workloads (OR 2.18, 95% confidence interval 1.42–3.36; P < 0.01).
Conclusion: The prevalence of CI in CR was considerably high, affecting more than one-third of cardiac patients. Besides age and education level, CI was associated with heavy workloads and a longer sick leave before ACE.
Ziel der Studie Die vorliegende Untersuchung beinhaltete die explorative Erfassung potenzieller Indikatoren der Ergebnisqualität der kardiologischen Rehabilitation (CR) für Patienten unter 65 Jahren.
Methoden In einer 4-stufigen webbasierten Delphi-Befragung (04-07/2016) von in der CR tätigen Ärzten[2] , Psychologen und Sport-/Physiotherapeuten wurden Parameter der körperlichen Leistungsfähigkeit, der Sozialmedizin, der subjektiven Gesundheit und kardiovaskuläre Risikofaktoren hinsichtlich ihrer Eignung als Qualitätsindikator bewertet.
Ergebnisse Von 44 vorgegebenen wie auch von den Teilnehmern vorgeschlagenen Parametern wurden 21 Parameter (48%), die Hälfte davon psychosoziale Faktoren, als potenzielle Qualitätsindikatoren ausgewählt, wobei lediglich für das Rauchverhalten, den Blutdruck, das LDL-Cholesterin und die max. Belastbarkeit im Belastungs-EKG ein Konsens (Zustimmung>75% der Befragten) erzielt wurde.
Schlussfolgerung Die Wahl der Qualitätsindikatoren durch die Experten erfolgte mehrheitlich mit nur geringer Einigkeit. Eine klinische und wissenschaftliche Evaluierung der gewählten Parameter ist daher zwingend erforderlich.
Background: So far, for center comparisons in inpatient cardiac rehabilitation (CR), the objective outcome quality was neglected because of challenges in quantifying the overall success of CR. In this article, a multifactorial benchmark model measuring the individual rehabilitation success is presented.
Methods: In 21 rehabilitation centers, 5 123 patients were consecutively enrolled between 01/2010 and 12/2012 in the prospective multicenter registry EVA-Reha (R) Cardiology. Changes in 13 indicators in the areas cardiovascular risk factors, physical performance and subjective health during rehabilitation were evaluated according to levels of severity. Changes were only rated for patients who needed a medical intervention. Additionally, the changes had to be clinically relevant. Therefore Minimal Important Differences (MID) were predefined. Ratings were combined to a single score, the multiple outcome criterion (MEK).
Results: The MEK was determined for all patients (71.7 +/- 7.4 years, 76.9 % men) and consisted of an average of 5.6 indicators. After risk adjustment for sociodemographic and clinical baseline parameters, MEK was used for center ranking. In addition, individual results of indicators were compared with means of all study sites.
Conclusion: With the method presented here, the outcome quality can be quantified and outcome-based comparisons of providers can be made.