The longitudinal relationship between fear of movement and physical activity after cardiac hospitalization: A cross lagged panel model.

BACKGROUND: Little is known about the association between fear of movement (kinesiophobia) and objectively measured physical activity (PA), the first 12 weeks after cardiac hospitalization. PURPOSE: To assess the longitudinal association between kinesiophobia and objectively measured PA and to assess the factor structure of kinesiophobia. METHODS: We performed a longitudinal observational study. PA was continuously measured from hospital discharge to 12 weeks using the Personal Activity Monitor. The PAM measures time spent per day in PA-intensity categories: light, moderate and heavy. Kinesiophobia was assessed with the Tampa Scale for Kinesiophobia (TSK) at four time points (hospital discharge, 3, 6 and 12 weeks). The longitudinal association between PA-intensity and kinesiophobia was studied with a random intercept cross lagged panel model (RI-CLPM). A RI-CLPM estimates effects from kinesiophobia on objectively measured PA and vice versa (cross-over effects), and autoregressive effects (e.g. kinesiophobia from one occasion to the next). RESULTS: In total, 116 patients (83.6% male) with a median age of 65.5 were included in this study. On no occasion did we find an effect of kinesiophobia on PA and vice versa. Model fit for the original model was poor (X2: = 44.646 P<0.001). Best model fit was found for a model were kinesiophobia was modelled as a stable between factor (latent variable) and PA as autoregressive component (dynamic process) (X2 = 27.541 P<0.12). CONCLUSION: Kinesiophobia and objectively measured PA are not associated in the first 12 weeks after hospital discharge. This study shows that kinesiophobia remained relatively stable, 12 weeks after hospital discharge, despite fluctuations in light to moderate PA-intensity.

Patients' preferences for secondary prevention following a coronary event.

Objective: Despite clear evidence on the effectiveness of secondary prevention, patients with coronary artery disease frequently fail to reach guideline-based risk factor targets. Integrating patients' preferences into treatment decisions has been recommended to reduce this gap. However, this requires knowledge about patient treatment preferences. Therefore, through a survey study, we aimed to explore which risk factors patients self-perceived, prioritised for improvement, and needed support with after a recent hospitalisation for coronary heart disease. Methods: A digital questionnaire was presented to patients > 18 years recently discharged (≤3 months) from an acute coronary care unit in the Netherlands (Europe). Patients could select from eight cardiovascular risk factors that they (1) self-perceived, (2) prioritised for improvement, and (3) needed support to improve. Patients' perceived risk factors were compared to those documented in the medical records. Results: Respondents (N = 254, 26 % women), mean age 64 (SD 10) years, identified 'physical inactivity' more frequently than their medical records (140 patients vs. 91 records, p < 0.001), while three other risk factors were reported with equal and four with lower frequency. 'Physical inactivity', 'overweight' and 'stress' were most frequently prioritised for improvement (82 %, 88 % and 78 %) and professional support (64 %, 50 % and 58 %), with 87 % preferring lifestyle optimisation if this would reduce drug use. Conclusions: Patients with a recent coronary event show significant disparities in identifying risk factors compared to their medical records. They tend to prefer improving lifestyle- over drug-modifiable risk factors, particularly physical inactivity, overweight and stress, and indicate the need for support in improving these factors.

The influence of health literacy, anxiety and education on shared decision making and decisional conflict in older adults, and the mediating role of patient participation: A video observational study.

OBJECTIVE: To explore the relationship between personal characteristics of older adults with multiple chronic conditions (MCCs) and perceived shared decision making (SDM) resp. decisional conflict. METHODS: In a video-observational study (N = 213) data were collected on personal characteristics. The main outcomes were perceived level of SDM and decisional conflict. The mediating variable was participation in the SDM process. A twostep mixed effect multilinear regression and a mediation analysis were performed to analyze the data. RESULTS: The mean age of the patients was 77.3 years and 56.3% were female. Health literacy (ß.01, p < .001) was significantly associated with participation in the SDM process. Education (ß = -2.43, p = .05) and anxiety (ß = -.26, p = .058) had a marginally significant direct effect on the patients' perceived level of SDM. Education (ß = 12.12, p = .002), health literacy (ß = -.70, p = .005) and anxiety (ß = 1.19, p = .004) had a significant direct effect on decisional conflict. The effect of health literacy on decisional conflict was mediated by participation in SDM. CONCLUSION: Health literacy, anxiety and education are associated with decisional conflict. Participation in SDM during consultations plays a mediating role in the relationship between health literacy and decisional conflict. PRACTICE IMPLICATIONS: Tailoring SDM communication to health literacy levels is important for high quality SDM.

Brief lifestyle advice in cardiac care: an experimental study on message source and framing.

OBJECTIVE: Communicating risk information and offering lifestyle advice are important goals in cardiac rehabilitation. However, the most effective way and the most effective source to communicate this information are not yet known. Therefore, we examined the effect of source (cardiologist, physiotherapist) and framing (gain, loss) of brief lifestyle advice on patients' intention-to-change-lifestyle. METHODS: In an online experimental study, 636 cardiac patients (40% female, 67 (10) yrs.) were randomly assigned to one of four textual vignettes. Effect of source and framing on intention-to-change-lifestyle (assessed using a 5-point Likert scale) was analysed using analysis of covariance (ANCOVA). RESULTS: Patients expressed positive intention-to-change-lifestyle after receiving advice from the cardiologist (M = 4.1) and physiotherapist (M = 3.9). However, patients showed significantly higher intention-to-change-lifestyle after receiving advice from the cardiologist (0.58 [0.54-0.61]) when compared with the physiotherapist (0.52 [0.48-0.56]), (F[1,609] = 7.06, P = 0.01). Gain-framed and loss-framed advice appeared equally effective. However, communicating risks (loss) was remembered by only 9% of patients, whereas 89% remembered benefits (gain). CONCLUSIONS: Our study shows the value of cardiologists and physiotherapists communicating brief lifestyle advice, as cardiac patients expressed positive intention for lifestyle change after receiving advice, irrespective of framing. Lifestyle advice should include benefits due to better recall.

Validation of Systematic Coronary Risk Evaluation 2 (SCORE2) and SCORE2-Older Persons in the EPIC-Norfolk prospective population cohort.

AIMS: The European Systematic Coronary Risk Evaluation 2 (SCORE2) and SCORE2-Older Persons (OP) models are recommended to identify individuals at high 10-year risk for cardiovascular disease (CVD). Independent validation and assessment of clinical utility is needed. This study aims to assess discrimination, calibration, and clinical utility of low-risk SCORE2 and SCORE2-OP. METHODS AND RESULTS: Validation in individuals aged 40-69 years (SCORE2) and 70-79 years (SCORE2-OP) without baseline CVD or diabetes from the European Prospective Investigation of Cancer (EPIC) Norfolk prospective population study. We compared 10-year CVD risk estimates with observed outcomes (cardiovascular mortality, non-fatal myocardial infarction, and stroke). For SCORE2, 19 560 individuals (57% women) had 10-year CVD risk estimates of 3.7% [95% confidence interval (CI) 3.6-3.7] vs. observed 3.8% (95% CI 3.6-4.1) [observed (O)/expected (E) ratio 1.0 (95% CI 1.0-1.1)]. The area under the curve (AUC) was 0.75 (95% CI 0.74-0.77), with underestimation of risk in men [O/E 1.4 (95% CI 1.3-1.6)] and overestimation in women [O/E 0.7 (95% CI 0.6-0.8)]. Decision curve analysis (DCA) showed clinical benefit. Systematic Coronary Risk Evaluation 2-Older Persons in 3113 individuals (58% women) predicted 10-year CVD events in 10.2% (95% CI 10.1-10.3) vs. observed 15.3% (95% CI 14.0-16.5) [O/E ratio 1.6 (95% CI 1.5-1.7)]. The AUC was 0.63 (95% CI 0.60-0.65) with underestimation of risk across sex and risk ranges. Decision curve analysis showed limited clinical benefit. CONCLUSION: In a UK population cohort, the SCORE2 low-risk model showed fair discrimination and calibration, with clinical benefit for preventive treatment initiation decisions. In contrast, in individuals aged 70-79 years, SCORE2-OP demonstrated poor discrimination, underestimated risk in both sexes, and limited clinical utility.

To effectively prevent heart disease, it is important to identify individuals who are at a higher risk of developing it. Researchers have developed models that can estimate the likelihood of a healthy person developing heart disease within the next 10 years. This study, involving 22 673 healthy individuals in the UK, aimed to determine if these risk estimation models are accurate and can guide decisions about who should receive preventive treatment.

An iterative approach to developing a multifaceted implementation strategy for a complex eHealth intervention within clinical practice.

BACKGROUND: The number of complex eHealth interventions has increased considerably. Despite available implementation theory outlining well-designed strategies, implementing complex interventions within practice proves challenging and often does not lead to sustainable use. To improve sustainability, theory and practice should be addressed during the development of an implementation strategy. By subsequently transparently reporting the executed theory-based steps and their corresponding practice findings, others can learn from these valuable lessons learned. This study outlines the iterative approach by which a multifaceted implementation strategy for a complex eHealth intervention in clinical practice was developed, tested and refined. METHODS: We implemented the BENEFIT program, an advanced eHealth platform with Personal Health Portal facilitating healthy living in cardiac patients. In six iterative phases alternating between theory and practice, the implementation strategy was developed, tested and refined. The initial implementation strategy (phase 1) was drawn up using the Implementation model and RE-AIM. Subsequently, this strategy was further updated in brainstorming sessions and group discussions with twenty key stakeholders from three cardiac care centres and then evaluated in a pilot (phases 2 and 3). RESULTS: The pilot of the program led to the identification of (context-specific) key challenges in practice (phase 4), which were subsequently connected back to broader theory (phase 5) using the Consolidated Framework of Implementation Research (CFIR). In the final phase, practice recommendations tackling the key challenges were formulated (phase 6) based on CFIR theory, the CFIR-ERIC Matching Tool, and stakeholders' input and feedback. These recommendations were then added to the refined strategy. Thus, executing this approach led to the realisation and use of a multifaceted theory-informed practice-based implementation strategy. CONCLUSION: This case study gives an in-depth description of an iterative approach to developing an evidence-based, practice-tailored strategy for implementing a complex eHealth intervention in cardiac care. As such, this study may serve as a blueprint for other researchers aspiring to implement complex eHealth interventions within clinical practice sustainably.

Adherence of Older Cardiac Patients to a Home-Based Cardiac Rehabilitation Program.

Referral to home-based cardiac rehabilitation (HBCR) is low among older and frailer patients due to low expectations regarding adherence by healthcare professionals. The aim of this study was to determine adherence to HBCR when old and frail patients are referred, and to explore any differences in baseline characteristics between adherent and nonadherent patients. Data of the Cardiac Care Bridge were used (Dutch trial register NTR6316). The study included hospitalized cardiac patients ≥ 70 years old and at high risk of functional loss. Adherence to HBCR was confirmed when two-thirds of the intended nine sessions were followed. Of the 153 patients included (age: 82 ± 6 years, 54% female), 29% could not be referred due to death before referral, not returning home, or practical problems. Of the 109 patients who were referred, 67% adhered. Characteristics associated with non-adherence were older age (84 ± 6 vs. 82 ± 6, p = 0.05) and higher handgrip strength in men (33 ± 8 vs. 25 ± 11, p = 0.01). There was no difference in comorbidity, symptoms, or physical capacity. Based on these observations, most older cardiac patients who return home after hospital admission appear to adhere to HBCR after referral, suggesting that most older cardiac patients are motivated and capable of receiving HBCR.

Exploring barriers and facilitators of behavioural changes in dietary intake and physical activity: a qualitative study in older adults undergoing transcatheter aortic valve implantation.

PURPOSE: The majority of older patients, scheduled for a cardiac procedure, do not adhere to international dietary intake and physical activity guidelines. The purpose of this study was to explore barriers and facilitators regarding dietary intake and physical activity behaviour change in older patients undergoing transcatheter aortic valve implantation (TAVI). METHODS: We conducted a qualitative study using semi-structured interviews with patients undergoing TAVI. Interviews were analysed by two independent researchers using thematic analysis, the capability, opportunity and motivation behaviour model was used as a framework. RESULTS: The study included 13 patients (82 ± 6 years old, 6 females) until data saturation was reached. Six themes were identified, which were all applicable to both dietary intake and physical activity. Three following themes were identified as barriers: (1) low physical capability, (2) healthy dietary intake and physical activity are not a priority at an older age and (3) ingrained habits and preferences. Three following themes were identified as facilitators: (1) knowledge that dietary intake and physical activity are important for maintaining health, (2) norms set by family, friends and caregivers and (3) support from the social environment. CONCLUSION: Our study found that older patients had mixed feelings about changing their behaviour. The majority initially stated that dietary intake and physical activity were not a priority at older age. However, with knowledge that behaviour could improve health, patients also stated willingness to change, leading to a state of ambivalence. Healthcare professionals may consider motivational interviewing techniques to address this ambivalence.

Effects of a shared decision making intervention for older adults with multiple chronic conditions: the DICO study.

BACKGROUND: To evaluate the effects of a shared decision making (SDM) intervention for older adults with multiple chronic conditions (MCCs). METHODS: A pragmatic trial evaluated the effects of the SDMMCC intervention, existing of SDM training for nine geriatricians in two hospitals and a preparatory tool for patients. A prospective pre-intervention post-intervention multi-center clinical study was conducted in which an usual care group of older patients with MCC and their informal caregivers was included before the implementation of the intervention and a new cohort of patients and informal caregivers after the implementation of the intervention. SDM was observed using the OPTIONMCC during video-recorded consultations. Patient- and caregivers reported outcomes regarding their role in SDM, involvement, perceived SDM and decisional conflict were measured. The differences between groups regarding the level of observed SDM (OPTIONMCC) were analyzed with a mixed model analysis. Dichotomous patient-reported outcomes were analyzed with a logistic mixed model. RESULTS: From two outpatient geriatric clinics 216 patients with MCCs participated. The mean age was 77.3 years, and 56.3% of patients were female. No significant difference was found in the overall level of SDM as measured with the OPTIONMCC or in patient-reported outcomes. However, at item level the items discussing 'goals', 'options', and 'decision making' significantly improved after the intervention. The items discussing 'partnership' and 'evaluating the decision-making process' showed a significant decrease. Fifty-two percent of the patients completed the preparatory tool, but the results were only discussed in 12% of the consultations. CONCLUSION: This study provides scope for improvement of SDM in geriatrics. Engaging older adults with MCCs and informal caregivers in the decision making process should be an essential part of SDM training for geriatricians, beyond the SDM steps of explaining options, benefits and harms. More attention should be paid to the integration of preparatory work in the consultation.

Unexploited potential of risk factor treatment in patients with atherosclerotic cardiovascular disease.

BACKGROUND: Most patients with atherosclerotic cardiovascular disease remain at (very) high risk for recurrent events due to suboptimal risk factor control. AIMS: This study aimed to quantify the potential of maximal risk factor treatment on 10-year and lifetime risk of recurrent atherosclerotic cardiovascular events in patients 1 year after a coronary event. METHODS AND RESULTS: Pooled data from six studies are as follows: RESPONSE 1, RESPONSE 2, OPTICARE, EUROASPIRE IV, EUROASPIRE V, and HELIUS. Patients aged ≥45 years at ≥6 months after coronary event were included. The SMART-REACH score was used to estimate 10-year and lifetime risk of recurrent atherosclerotic cardiovascular events with current treatment and potential risk reduction and gains in event-free years with maximal treatment (lifestyle and pharmacological). In 3230 atherosclerotic cardiovascular disease patients (24% women), at median interquartile range (IQR) 1.1 years (1.0-1.8) after index event, 10-year risk was median (IQR) 20% (15-27%) and lifetime risk 54% (47-63%). Whereas 70% used conventional medication, 82% had ≥1 drug-modifiable risk factor not on target. Furthermore, 91% had ≥1 lifestyle-related risk factor not on target. Maximizing therapy was associated with a potential reduction of median (IQR) 10-year risk to 6% (4-8%) and of lifetime risk to 20% (15-27%) and a median (IQR) gain of 7.3 (5.4-10.4) atherosclerotic cardiovascular disease event-free years. CONCLUSIONS: Amongst patients with atherosclerotic cardiovascular disease, maximizing current, guideline-based preventive therapy has the potential to mitigate a large part of their risk of recurrent events and to add a clinically important number of event-free years to their lifetime.

Patients with heart disease are at high risk of new cardiac events. This study amongst 3230 patients who had a heart attack or received a stent or bypass surgery shows missed potential for healthy life after a heart attack. The average age of study patients was 61 years, and 24% were women. At 1 year after the cardiac event, nearly one in three (30%) continued smoking, 79% were overweight, 45% reported insufficient physical activity, 40% had high blood pressure, and 65% had a too high LDL ('bad') cholesterol. We calculated that adherence to lifestyle advice and medications could on average halve the risk for another heart attack and add over 7 healthy years of life after a heart attack. This highlights the importance of healthy lifestyle and medication adherence after a heart attack. Key finding:• adherence to lifestyle advice and medications could add over 7 healthy years of life after a heart attack.

The Trajectory of Nutritional Status and Physical Activity before and after Transcatheter Aortic Valve Implantation.

It is suggested that older patients waiting for an elective surgical procedure have a poor nutritional status and low physical activity level. It is unknown if this hypothesis is true and if these conditions improve after a medical procedure. We aimed to determine the trajectory of both conditions before and after transcatheter aortic valve implantation (TAVI). Included patients (n = 112, age 81 ± 5 years, 58% male) received three home visits (preprocedural, one and six months postprocedural). Nutritional status was determined with the mini nutritional assessment­short form (MNA-SF) and physical activity using an ankle-worn monitor (Stepwatch). The median MNA-SF score was 13 (11−14), and 27% of the patients were at risk of malnutrition before the procedure. Physical activity was 6273 ± 3007 steps/day, and 69% of the patients did not meet the physical activity guidelines (>7100 steps/day). We observed that nutritional status and physical activity did not significantly change after the procedure (ß 0.02 [95% CI −0.03, 0.07] points/months on the MNA-SF and ß 16 [95% CI −47, 79] steps/month, respectively). To conclude, many preprocedural TAVI patients should improve their nutritional status or activity level. Both conditions do not improve naturally after a cardiac procedure.

Preprocedural muscle strength and physical performance and the association with functional decline or mortality in frail older patients after transcatheter aortic valve implementation: a systematic review and meta-analysis.

BACKGROUND: A significant number of older patients planned for transcatheter aortic valve implantation (TAVI) experience a decline in physical functioning and death, despite a successful procedure. OBJECTIVE: To systematically review the literature on the association of preprocedural muscle strength and physical performance with functional decline or long-term mortality after TAVI. METHODS: We followed the PRISMA guidelines and pre-registered this review at PROSPERO (CRD42020208032). A systematic search was conducted in MEDLINE and EMBASE from inception to 10 December 2021. Studies reporting on the association of preprocedural muscle strength or physical performance with functional decline or long-term (>6 months) mortality after the TAVI procedure were included. For outcomes reported by three or more studies, a meta-analysis was performed. RESULTS: In total, two studies reporting on functional decline and 29 studies reporting on mortality were included. The association with functional decline was inconclusive. For mortality, meta-analysis showed that low handgrip strength (hazard ratio (HR) 1.80 [95% confidence interval (CI): 1.22-2.63]), lower distance on the 6-minute walk test (HR 1.15 [95% CI: 1.09-1.21] per 50 m decrease), low performance on the timed up and go test (>20 s) (HR 2.77 [95% CI: 1.79-4.30]) and slow gait speed (<0.83 m/s) (HR 2.24 [95% CI: 1.32-3.81]) were associated with higher long-term mortality. CONCLUSIONS: Low muscle strength and physical performance are associated with higher mortality after TAVI, while the association with functional decline stays inconclusive. Future research should focus on interventions to increase muscle strength and physical performance in older cardiac patients.

Assessing Changes in Fear of Movement in Patients attending Cardiac Rehabilitation: Responsiveness of the TSK-NL Heart Questionnaire.

OBJECTIVES: The primary objective was to determine the responsiveness of the Dutch version of the 13-item Tampa Scale for Kinesiophobia for cardiac patients (TSK-NL Heart). The secondary objective was to assess changes in kinesiophobia during cardiac rehabilitation. METHODS: Kinesiophobia was measured pre- and post-cardiac rehabilitation using the TSK-NL Heart questionnaire in 109 cardiac patients (61 years; 76% men). The effect size of kinesiophobia score changes was calculated for the full population. A measure that is responsive to change should produce higher effects sizes in patients in whom kinesiophobia improves. Therefore, effect sizes were also calculated for patients who did or did not improve on selected external measures. For this step, the Cardiac Anxiety Questionnaire (CAQ) and the Hospital Anxiety and Depression Scale (HADS) were completed as external measures in a subsample of 58 patients. RESULTS: The effect size of the TSK-NL Heart for the full study population was small (0.29). In line with the study hypothesis the effect size was higher (moderate) for patients with improved CAQ (0.52) and HADS scores (0.54). Prevalence of high kinesiophobia levels decreased from 40% pre-cardiac rehabilitation to 26% post-cardiac rehabilitation (p = 0.004). CONCLUSION: The TSK-NL Heart has moderate responsiveness and can be used to measure changes in kinesiophobia. Improvements in kinesiophobia were observed during cardiac rehabilitation. Nevertheless, high levels of kinesiophobia were still highly prevalent post-cardiac rehabilitation.

The effect of a more community-oriented curriculum on nursing students' intervention choice in community care: A quasi-experimental cohort study.

AIM: The aim of this study is to investigate the effect of a more 'community-oriented' baccalaureate nursing curriculum on students' intervention choice in community care. BACKGROUND: Following a healthcare shift with increased chronic diseases in an ageing patient population receiving care at home, nursing education is revising its curricula with new themes (e.g., self-management) on community care. Although it seems obvious that students incorporate these themes in their nursing care interventions, this is unclear. This study investigates the effect of a redesigned curriculum on students' care intervention choice in community nursing. DESIGN: A quasi-experimental quantitative study. METHODS: This study with an historic control group (n = 328; study cohorts graduating in 2016 and 2017; response rate 83 %) and an intervention group n = 152; graduating in 2018; response rate 80 %) was performed at a University of Applied Sciences in the Netherlands. The intervention group experienced a curriculum-redesign containing five new themes related to community care (e.g., enhancing self-management, collaboration with the patients' social network, shared decision making, using health technology and care allocation). The primary outcome 'intervention choice in community nursing' was assessed with a specially developed vignette instrument 'Assessment of Intervention choice in Community Nursing' (AICN). Through multiple regression analyses we investigated the effect of the curriculum-redesign on students' intervention choice (more 'traditional' interventions versus interventions related to the five new themes). The control and intervention groups were compared on the number of interventions per theme and on the number of students choosing a theme, with a chi-square or T-test. RESULTS: Students who studied under the more community-oriented curriculum chose interventions related to the new themes significantly more often, F(1461) = 14.827, p = <0.001, R2 = .031. However, more traditional interventions are still favourite (although less in the intervention group): 74.5 % of the chosen interventions in the historic control group had no relation with the new curriculum-themes, vs. 71.3 % in the intervention group; p = .055). CONCLUSIONS: Students who experienced a more 'community-oriented' curriculum were more likely, albeit to a limited extent, to choose the new community care themes in their caregiving. Seeing this shift in choices as a step in the right direction, it can be expected that the community care field in the longer term will benefit from these better skilled graduates.

Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area.

Background: Manual muscle mass assessment based on Computed Tomography (CT) scans is recognized as a good marker for malnutrition, sarcopenia, and adverse outcomes. However, manual muscle mass analysis is cumbersome and time consuming. An accurate fully automated method is needed. In this study, we evaluate if manual psoas annotation can be substituted by a fully automatic deep learning-based method. Methods: This study included a cohort of 583 patients with severe aortic valve stenosis planned to undergo Transcatheter Aortic Valve Replacement (TAVR). Psoas muscle area was annotated manually on the CT scan at the height of lumbar vertebra 3 (L3). The deep learning-based method mimics this approach by first determining the L3 level and subsequently segmenting the psoas at that level. The fully automatic approach was evaluated as well as segmentation and slice selection, using average bias 95% limits of agreement, Intraclass Correlation Coefficient (ICC) and within-subject Coefficient of Variation (CV). To evaluate performance of the slice selection visual inspection was performed. To evaluate segmentation Dice index was computed between the manual and automatic segmentations (0 = no overlap, 1 = perfect overlap). Results: Included patients had a mean age of 81 ± 6 and 45% was female. The fully automatic method showed a bias and limits of agreement of -0.69 [-6.60 to 5.23] cm2, an ICC of 0.78 [95% CI: 0.74-0.82] and a within-subject CV of 11.2% [95% CI: 10.2-12.2]. For slice selection, 84% of the selections were on the same vertebra between methods, bias and limits of agreement was 3.4 [-24.5 to 31.4] mm. The Dice index for segmentation was 0.93 ± 0.04, bias and limits of agreement was -0.55 [1.71-2.80] cm2. Conclusion: Fully automatic assessment of psoas muscle area demonstrates accurate performance at the L3 level in CT images. It is a reliable tool that offers great opportunities for analysis in large scale studies and in clinical applications.

The Cardiac Care Bridge transitional care program for the management of older high-risk cardiac patients: An economic evaluation alongside a randomized controlled trial.

OBJECTIVE: To evaluate the cost-effectiveness of the Cardiac Care Bridge (CCB) nurse-led transitional care program in older (≥70 years) cardiac patients compared to usual care. METHODS: The intervention group (n = 153) received the CCB program consisting of case management, disease management and home-based cardiac rehabilitation in the transition from hospital to home on top of usual care and was compared with the usual care group (n = 153). Outcomes included a composite measure of first all-cause unplanned hospital readmission or mortality, Quality Adjusted Life Years (QALYs) and societal costs within six months follow-up. Missing data were imputed using multiple imputation. Statistical uncertainty surrounding Incremental Cost-Effectiveness Ratios (ICERs) was estimated by using bootstrapped seemingly unrelated regression. RESULTS: No significant between group differences in the composite outcome of readmission or mortality nor in societal costs were observed. QALYs were statistically significantly lower in the intervention group, mean difference -0.03 (95% CI: -0.07; -0.02). Cost-effectiveness acceptability curves showed that the maximum probability of the intervention being cost-effective was 0.31 at a Willingness To Pay (WTP) of €0,00 and 0.14 at a WTP of €50,000 per composite outcome prevented and 0.32 and 0.21, respectively per QALY gained. CONCLUSION: The CCB program was on average more expensive and less effective compared to usual care, indicating that the CCB program is dominated by usual care. Therefore, the CCB program cannot be considered cost-effective compared to usual care.

Effects of a transitional care programme on medication adherence in an older cardiac population: A randomized clinical trial.

AIMS: Medication non-adherence post-discharge is common among patients, especially those suffering from chronic medical conditions, and contributes to hospital admissions and mortality. This study aimed to evaluate the effect of the Cardiac Care Bridge (CCB) intervention on medication adherence post-discharge. METHODS: We performed a secondary analysis of the CCB randomized single-blind trial, a study in patients ≥70 years, at high risk of functional loss and admitted to cardiology departments in six hospitals. In this multi-component intervention study, community nurses performed medication reconciliation and observed medication-related problems (MRPs) during post-discharge home visits, and pharmacists provided recommendations to resolve MRPs. Adherence to high-risk medications was measured using the proportion of days covered (PDC), using pharmacy refill data. Furthermore, MRPs were assessed in the intervention group. RESULTS: For 198 (64.7%) of 306 CCB patients, data were available on adherence (mean age: 82 years; 58.9% of patients used a multidose drug dispensing [MDD] system). The mean PDC before admission was 92.3% in the intervention group (n = 99) and 88.5% in the control group (n = 99), decreasing to 85.2% and 84.1% post-discharge, respectively (unadjusted difference: -2.6% (95% CI -9.8 to 4.6, P = .473); adjusted difference -3.3 (95% CI -10.3 to 3.7, P = .353)). Post-hoc analysis indicated that a modest beneficial intervention effect may be restricted to MDD non-users (Pinteraction = .085). In total, 77.0% of the patients had at least one MRP post-discharge. CONCLUSIONS: Our findings indicate that a multi-component intervention, including several components targeting medication adherence in older cardiac patients discharged from hospital back home, did not benefit their medication adherence levels. A modest positive effect on adherence may potentially exist in those patients not using an MDD system. This finding needs replication.

Experiences of frail older cardiac patients with a nurse-coordinated transitional care intervention - a qualitative study.

BACKGROUND: Older cardiac patients are at high risk of readmission and mortality. Transitional care interventions (TCIs) might contribute to the prevention of adverse outcomes. The Cardiac Care Bridge program was a randomized nurse-coordinated TCI combining case management, disease management and home-based rehabilitation for hospitalized frail older cardiac patients. This qualitative study explored the experiences of patients' participating in this study, as part of a larger process evaluation as this might support interpretation of the neutral study outcomes. In addition, understanding these experiences could contribute to the design and application of future transitional care interventions for frail older cardiac patients. METHODS: A generic qualitative approach was used. Semi-structured interviews were performed with 16 patients ≥70 years who participated in the intervention group. Participants were selected by gender, diagnosis, living arrangement and hospital of inclusion. Data were analysed using thematic analysis. In addition, quantitative data about intervention delivery were analysed. RESULTS: Three themes emerged from the data: 1) appreciation of care continuity; 2) varying experiences with recovery and, 3) the influence of an existing care network. Participants felt supported by the transitional care intervention as they experienced post-discharge support and continuity of care. The perceived contribution of the program in participants' recovery varied. Some participants reported physical improvements while others felt impeded by comorbidities or frailty. The home visits by the community nurse were appreciated, although some participants did not recognize the added value. Participants with an existing healthcare provider network preferred to consult these providers instead of the providers who were involved in the transitional care intervention. CONCLUSION: Our results contribute to an explanation of the neutral study of a nurse-coordinated transitional care intervention. For future purpose, it is important to identify which patients might benefit most from TCIs. Furthermore, the intensity and content of TCIs could be more personalized by tailoring interventions to older cardiac patients' needs, considering their frailty, self-management skills and existing formal and informal caregiver networks.