Self-report Versus Measured Physical Activity Levels During Outpatient Cardiac Rehabilitation.

PURPOSE: Many patients with coronary artery disease (CAD) do not achieve the recommended physical activity (PA) levels during and after cardiac rehabilitation (CR). The aim of this study was to analyze moderate to vigorous physical activity (MVPA) levels and the differences between perceived (self-reported) and measured (activity monitor) MVPA in CAD patients during CR. The second aim was to analyze which patient characteristics were associated with this difference. METHODS: A two-center observational-sectional study was conducted within the Department of Rehabilitation Medicine of the University Medical Center Groningen between January and April 2018. Adults with CAD, following an outpatient CR program, were included. Perceived MVPA was assessed with the Short Questionnaire to Assess Health-enhancing Physical Activity and compared with ActivPAL3 activity monitor outcomes over a period of 7 d. RESULTS: Fifty-one patients with CAD (age 59.4 ± 7.1 yr, eight females) were recruited. Four patients (8%) did not achieve the recommended guideline level of ≥150 min/wk of MVPA. Patients spent ≥80% of the week in sedentary activities. Patients overestimated MVPA with a median of 805 (218, 1363) min/wk (P< .001). The selected patient characteristics (age, body mass index, type of CAD, type of CR, social support, and self-efficacy) were not associated with this overestimation. CONCLUSIONS: Most patients with CAD, participating in an outpatient CR program, do achieve MVPA exercise recommendations but spend simultaneously too much time in sedentary activities.

The dynamics of self-care in the course of heart failure management: data from the IN TOUCH study.

INTRODUCTION: Self-care is an important patient-reported outcome (PRO) for heart failure (HF) patients, which might be affected by disease management and/or telemonitoring (TM). The number of studies reporting the influence of TM on self-care is limited. AIMS: This study aimed: to assess whether TM, in addition to information-and-communication-technology (ICT)-guided disease management system (ICT-guided DMS), affects self-care behavior; to evaluate the dynamics of self-care during the study; to investigate factors contributing to self-care changes; and to identify a patient profile that predisposes the patient to improvement in self-care. METHODS: In the INnovative ICT-guided-DMS combined with Telemonitoring in OUtpatient clinics for Chronic HF patients (IN TOUCH) study, 177 patients were randomized to either ICT-guided DMS or TM+ICT-guided DMS, with a follow-up of 9 months. The current analysis included 118 participants (mean age: 69±11.5 years; 70% male) who filled the following PRO instruments: the nine-item European Heart Failure Self-care Behaviour scale (EHFScBs), Hospital Anxiety and Depression scale (HADs), and Minnesota Living with HF Questionnaire (MLHFQ). RESULTS: The baseline level of self-care was better in the TM+ICT-guided-DMS group (n=58) compared to ICT-guided-DMS group (n=60, p=0.023). Self-care behavior improved in the ICT-guided-DMS group (p<0.01) but not in the TM+ICT-guided-DMS group. Factors associated with self-care worsening were as follows: higher physical subscale of MLHFQ (per 10 points, p<0.05), lower left ventricular ejection fraction (LVEF) (per 5%, p<0.05), lower New York Heart Association (NYHA) class (class III vs class II, p<0.05). The subgroups of patients who had an initial EHFScBs total score >28, or from 17 to 28 with concomitant HADs depression subscale (HADs_D) score ≤8, demonstrated the greatest potential to improve self-care during the study. CONCLUSION: TM did not have an advantage on self-care improvement. Poor physical aspect of quality of life, lower LVEF, and lower NYHA class were associated with self-care worsening. The greatest self-care improvement may be achieved in those patients who have low or medium initial self-care level in the absence of depression.

The value of telemonitoring and ICT-guided disease management in heart failure: Results from the IN TOUCH study.

AIM: It is still unclear whether telemonitoring reduces hospitalization and mortality in heart failure (HF) patients and whether adding an Information and Computing Technology-guided-disease-management-system (ICT-guided-DMS) improves clinical and patient reported outcomes or reduces healthcare costs. METHODS: A multicenter randomized controlled trial was performed testing the effects of INnovative ICT-guided-DMS combined with Telemonitoring in OUtpatient clinics for Chronic HF patients (IN TOUCH) with in total 179 patients (mean age 69 years; 72% male; 77% in New York Heart Association Classification (NYHA) III-IV; mean left ventricular ejection fraction was 28%). Patients were randomized to ICT-guided-DMS or to ICT-guided-DMS+telemonitoring with a follow-up of nine months. The composite endpoint included mortality, HF-readmission and change in health-related quality of life (HR-QoL). RESULTS: In total 177 patients were eligible for analyses. The mean score of the primary composite endpoint was -0.63 in ICT-guided-DMS vs. -0.73 in ICT-guided-DMS+telemonitoring (mean difference 0.1, 95% CI: -0.67 +0.82, p=0.39). All-cause mortality in ICT-guided-DMS was 12% versus 15% in ICT-guided-DMS+telemonitoring (p=0.27); HF-readmission 28% vs. 27% p=0.87; all-cause readmission was 49% vs. 51% (p=0.78). HR-QoL improved in most patients and was equal in both groups. Incremental costs were €1360 in favor of ICT-guided-DMS. ICT-guided-DMS+telemonitoring had significantly fewer HF-outpatient-clinic visits (p<0.01). CONCLUSION: ICT-guided-DMS+telemonitoring for the management of HF patients did not affect the primary and secondary endpoints. However, we did find a reduction in visits to the HF-outpatient clinic in this group suggesting that telemonitoring might be safe to use in reorganizing HF-care with relatively low costs.

Heart Failure Telemonitoring in Japan and Sweden: A Cross-Sectional Survey.

BACKGROUND: Telemonitoring of heart failure (HF) patients is increasingly discussed at conferences and addressed in research. However, little is known about actual use in specific countries. OBJECTIVE: We aimed to (1) describe the use of non-invasive HF telemonitoring, (2) clarify expectations of telemonitoring among cardiologists and nurses, and (3) describe barriers to the implementation of telemonitoring in Japan and Sweden. METHODS: This study used a cross-sectional survey of non-invasive HF telemonitoring. A total of 378 Japanese (120 cardiologists, 258 nurses) and 120 Swedish (39 cardiologists, 81 nurses) health care professionals from 165 Japanese and 61 Swedish hospitals/clinics nationwide participated in the study (210 in Japan and 98 in Sweden were approached). Data were collected between November 2013 and May 2014 with a questionnaire that was adapted from a previous Dutch study on telemonitoring. RESULTS: The mean age of the cardiologists and nurses was 47 years and 41 years, respectively. Experience at the current position caring for HF patients was 19 years among the physicians and 15 years among the nurses. In total, 7 Japanese (4.2%) and none of the Swedish health care institutions used telemonitoring. One fourth (24.0%, 118/498) of the health care professionals were familiar with the technology (in Japan: 21.6%, 82/378; in Sweden: 30.0%, 36/120). The highest expectations of telemonitoring (rated on a scale from 0-10) were reduced hospitalizations (8.3 in Japan and 7.5 in Sweden), increased patient self-care (7.8 and 7.4), and offering high-quality care (7.8 and 7.0). The major goal for introducing telemonitoring was to monitor physical condition and recognize signs of worsening HF in Japan (94.1%, 352/374) and Sweden (88.7%, 102/115). The following reasons were also high in Sweden: to monitor effects of treatment and adjust it remotely (86.9%, 100/115) and to do remote drug titration (79.1%, 91/115). Just under a quarter of Japanese (22.4%, 85/378) and over a third of Swedish (38.1%, 45/118) health care professionals thought that telemonitoring was a good way to follow up stable HF patients. Three domains of barriers were identified by content analysis: organizational barriers "how are we going to do it?" (categories include structure and resource), health care professionals themselves "what do we need to know and do" (reservation), and barriers related to patients "not everybody would benefit" (internal and external shortcomings). CONCLUSIONS: Telemonitoring for HF patients has not been implemented in Japan or Sweden. However, health care professionals have expectations of telemonitoring to reduce patients' hospitalizations and increase patient self-care. There are still a wide range of barriers to the implementation of HF telemonitoring.

Perceived barriers of heart failure nurses and cardiologists in using clinical decision support systems in the treatment of heart failure patients.

BACKGROUND: Clinical Decision Support Systems (CDSSs) can support guideline adherence in heart failure (HF) patients. However, the use of CDSSs is limited and barriers in working with CDSSs have been described as a major obstacle. It is unknown if barriers to CDSSs are present and differ between HF nurses and cardiologists. Therefore the aims of this study are; 1. Explore the type and number of perceived barriers of HF nurses and cardiologists to use a CDSS in the treatment of HF patients. 2. Explore possible differences in perceived barriers between two groups. 3. Assess the relevance and influence of knowledge management (KM) on Responsibility/Trust (R&T) and Barriers/Threats (B&T). METHODS: A questionnaire was developed including; B&T, R&T, and KM. For analyses, descriptive techniques, 2-tailed Pearson correlation tests, and multiple regression analyses were performed. RESULTS: The response- rate of 220 questionnaires was 74%. Barriers were found for cardiologists and HF nurses in all the constructs. Sixty-five percent did not want to be dependent on a CDSS. Nevertheless thirty-six percent of HF nurses and 50% of cardiologists stated that a CDSS can optimize HF medication. No relationship between constructs and age; gender; years of work experience; general computer experience and email/internet were observed. In the group of HF nurses a positive correlation (r .33, P<.01) between years of using the internet and R&T was found. In both groups KM was associated with the constructs B&T (B=.55, P=<.01) and R&T (B=.50, P=<.01). CONCLUSIONS: Both cardiologists and HF-nurses perceived barriers in working with a CDSS in all of the examined constructs. KM has a strong positive correlation with perceived barriers, indicating that increasing knowledge about CDSSs can decrease their barriers.

Health professionals' expectations versus experiences of internet-based telemonitoring: survey among heart failure clinics.

BACKGROUND: Although telemonitoring is increasingly used in heart failure care, data on expectations, experiences, and organizational implications concerning telemonitoring are rarely addressed, and the optimal profile of patients who can benefit from telemonitoring has yet to be defined. OBJECTIVE: To assess the actual status of use of telemonitoring and to describe the expectations, experiences, and organizational aspects involved in working with telemonitoring in heart failure in the Netherlands. METHODS: In collaboration with the Netherlands Organization for Applied Scientific Research (TNO), a 19-item survey was sent to all outpatient heart failure clinics in the Netherlands, addressed to cardiologists and heart failure nurses working in the clinics. RESULTS: Of the 109 heart failure clinics who received a survey, 86 clinics responded (79%). In total, 31 out of 86 (36%) heart failure clinics were using telemonitoring and 12 heart failure clinics (14%) planned to use telemonitoring within one year. The number of heart failure patients receiving telemonitoring generally varied between 10 and 50; although in two clinics more than 75 patients used telemonitoring. The main goals for using telemonitoring are "monitoring physical condition", "monitoring signs of deterioration" (n=39, 91%), "monitoring treatment" (n=32, 74%), "adjusting medication" (n=24, 56%), and "educating patients" (n=33, 77%). Most patients using telemonitoring were in the New York Heart Association (NYHA) functional classes II (n=19, 61%) and III (n=27, 87%) and were offered the use of the telemonitoring system "as long as needed" or without a time limit. However, the expectations of the use of telemonitoring were not met after implementation. Eight of the 11 items about expectations versus experiences were significantly decreased (P<.001). Health care professionals experienced the most changes related to the use of telemonitoring in their work, in particular with respect to "keeping up with current development" (before 7.2, after 6.8, P=.15), "being innovative" (before 7.0, after 6.1, P=.003), and "better guideline adherence" (before 6.3, after 5.3, P=.005). Strikingly, 20 out of 31 heart failure clinics stated that they were considering using a different telemonitoring system than the system used at the time. CONCLUSIONS: One third of all heart failure clinics surveyed were using telemonitoring as part of their care without any transparent, predefined criteria of user requirements. Prior expectations of telemonitoring were not reflected in actual experiences, possibly leading to disappointment.

Follow-up and treatment of an instable patient with heart failure using telemonitoring and a computerised disease management system: a case report.

In the last decades, the introduction of information and communication technology (ICT) in healthcare promised an improved quality of care while reducing workload and improving cost-effectiveness. This might be realised by the use of computer guided decision support systems and telemonitoring. This case study describes the process of care of a patient with chronic heart failure, who was treated with a computerised disease management system in combination with telemonitoring. With the help of these appliances, we think we were probably able to prevent at least two readmissions for heart failure in a period of 10 months. We also gained more insight into patient's behaviour with regards to compliance with the heart failure regimen at home. Frequent contact at distance and the online availability of physiological measurements at home facilitated patient tailored education and helped the patient to react adequately to symptoms of deterioration. Additionally, up-titration of heart failure medication was performed without contacting the patient at the outpatient clinic.

The value of INnovative ICT guided disease management combined with Telemonitoring in OUtpatient clinics for Chronic Heart failure patients. Design and methodology of the IN TOUCH study: a multicenter randomised trial.

BACKGROUND: Although the value of telemonitoring in heart failure patients is increasingly studied, little is known about the value of the separate components of telehealth: ICT guided disease management and telemonitoring. The aim of this study is to investigate the value of telemonitoring added to ICT guided disease management (DM) on the quality and efficiency of care in patients with chronic heart failure (CHF) after a hospitalisation. METHODS/DESIGN: The study is divided in two arms; a control arm (DM) and an intervention arm (DM+TM) in 10 hospitals in the Netherlands. In total 220 patients will be included after worsening of CHF (DM: N = 90, DM+TM: N = 130). Total follow-up will be 9 months. Data will be collected at inclusion and then after 2 weeks, 4.5 and 9 months. The primary endpoint of this study is a composite score of: 1: death from any cause during the follow-up of the study, 2: first readmission for HF and 3: change in quality of life compared to baseline, assessed by the Minnesota Living with Heart failure Questionnaire. The study has started in December 2009 and results are expected in 2012. CONCLUSIONS: The IN TOUCH study is the first to investigate the effect of telemonitoring on top of ICT guided DM on the quality and efficiency of care in patients with worsening HF and will use a composite score as its primary endpoint. TRIAL REGISTRATION: Netherlands Trial Register (NTR): NTR1898.