Background: Heart failure (HF) is a common and deadly disease, precipitated by physical inactivity and sedentary behavior. Although the 1-year survival rate after the first diagnosis is high, physical inactivity and sedentary behavior are associated with increased mortality and negatively impact the health-related quality of life (HR-QoL).

Objective: We tested the recruitment frequency, implementation fidelity, and feasibility of outcomes of the Activity Coach app that was developed using an existing mobile health (mHealth) tool, Optilogg, to support older adults with HF to be more physically active and less sedentary.

Methods: In this pilot clinical randomized controlled trial (RCT), patients with HF who were already using Optilogg to enhance self-care behavior were recruited from 5 primary care health centers in Sweden. Participants were randomized to either have their mHealth tool updated with the Activity Coach app (intervention group) or a sham version (control group). The intervention duration was 12 weeks, and in weeks 1 and 12, the participants wore an accelerometer daily to objectively measure their physical activity. The HR-QoL was measured with the Kansas City Cardiomyopathy Questionnaire (KCCQ), and subjective goal attainment was assessed using goal attainment scaling. Baseline data were collected from the participants’electronic health records (EHRs).

Results: We found 67 eligible people using the mHealth tool, of which 30 (45%) initially agreed to participate, with 20 (30%) successfully enrolled and randomized to the control and intervention groups in a ratio of 1:1. The participants’ daily adherence to registering physical activity in the Activity Coach app was 69% (range 24%-97%), and their weekly adherence was 88% (range 58%-100%). The mean goal attainment score was –1.0 (SD 1.1) for the control group versus 0.6 (SD 0.6) for the intervention group (P=.001). The mean change in the overall HR-QoL summary score was –9 (SD 10) for the control group versus 3 (SD 13) in the intervention group (P=.027). There was a significant difference in the physical limitation scores between the control (mean 45, SD 27) and intervention (mean 71, SD 20) groups (P=.04). The average length of sedentary bouts increased by 27 minutes to 458 (SD 84) in the control group minutes and decreased by 0.70 minutes to 391 (SD 117) in the intervention group (P=.22). There was a nonsignificant increase in the mean light physical activity (LPA): 146 (SD 46) versus 207 (SD 80) minutes in the control and intervention groups, respectively (P=.07).

Conclusions: The recruitment rate was lower than anticipated. An active recruitment process is advised if a future efficacy study is to be conducted. Adherence to the Activity Coach app was high, and it may be able to support older adults with HF in being physically active.

Trial Registration: ClinicalTrials.gov NCT05235763; https://clinicaltrials.gov/study/NCT05235763

AimThis paper describes the trajectory during 1 year of four patient-reported outcomes (PROs), namely, sleep, depressive symptoms, health-related quality of life (HrQoL), and well-being, in patients with heart failure (HF), their relationship and the patient characteristics associated with changes in these PROs.Methods and resultsData analyses of PROs from 603 patients (mean age 67 years; 29% female, 60% NYHA II) enrolled in the HF-Wii study. On short term, between baseline and 3 months, 16% of the patients experienced continuing poor sleep, 11% had sustained depressive symptoms, 13% had consistent poor HrQoL, and 13% consistent poor well-being. Across the entire 1-year period only 21% of the patients had good PRO scores at all timepoints (baseline, 3, 6, and 12 months). All others had at least one low score in any of the PROs at some timepoint during the study. Over the 12 months, 17% had consistently poor sleep, 17% had sustained symptoms of depression, 15% consistently rated a poor HrQoL, and 13% poor well-being. Different patient characteristics per PRO were associated with a poor outcomes across the 12 months. Age, education, New York Heart Association, and length of disease were related to two PRO domains and submaximal exercise capacity (6 min test), co-morbidity, and poor physical activity to one.ConclusionIn total, 79% of the patients with HF encountered problems related to sleep, depressive symptoms, HrQoL, and well-being at least once during a 1-year period. This underscores the need for continuous monitoring and follow-up of patients with HF and the need for dynamic adjustments in treatment and care regularly throughout the HF trajectory.

AIM: The aim of this study is to examine whether a conceptual model including the associations between continuity of care, perceived control and self-care could explain variations in health-related quality of life and hospital readmissions in people with chronic cardiac conditions after hospital discharge.

DESIGN: Correlational design based on cross-sectional data from a multicentre survey study.

METHODS: People hospitalized due to angina, atrial fibrillation, heart failure or myocardial infarction were included at four hospitals using consecutive sampling procedures during 2017-2019. Eligible people received questionnaires by regular mail 4-6 weeks after discharge. A tentative conceptual model describing the relationship between continuity of care, self-care, perceived control, health-related quality of life and readmission was developed and evaluated using structural equation modelling.

RESULTS: In total, 542 people (mean age 75 years, 37% females) were included in the analyses. According to the structural equation model, continuity of care predicted self-care, which in turn predicted health-related quality of life and hospital readmission. The association between continuity of care and self-care was partly mediated by perceived control. The model had an excellent model fit: RMSEA = 0.06, 90% CI, 0.05-0.06; CFI = 0.90; TLI = 0.90.

CONCLUSION: Interventions aiming to improve health-related quality of life and reduce hospital readmission rates should focus on enhancing continuity of care, perceived control and self-care.

IMPACT: This study reduces the knowledge gap on how central factors after hospitalization, such as continuity of care, self-care and perceived control, are associated with improved health-related quality of life and hospital readmission in people with cardiac conditions. The results suggest that these factors together predicted the quality of life and readmissions in this sample. This knowledge is relevant to researchers when designing interventions or predicting health-related quality of life and hospital readmission. For clinicians, it emphasizes that enhancing continuity of care, perceived control and self-care positively impacts clinical outcomes.

PATIENT OR PUBLIC CONTRIBUTION: People and healthcare personnel evaluated content validity and were included in selecting items for the short version.

Background There are calls to integrate serial recordings of health related quality of life (HRQoL) into routine care, clinical trials and prognosis. Little is known about the relationship between change in HRQoL and outcomes in heart failure (HF) patients by age, sex and HF subtype. Method From the Swedish Heart Failure Registry (SwedeHF; 2008-2019), patients were categorised by reduced (<40%, HFrEF), mildly-reduced (40-49%, HFmrEF) and preserved (>= 50%, HFpEF) ejection fraction. HRQoL was measured using Euro-QoL-5D visual analogue scale (EQ5D-vas), collected at baseline and 1-year. Baseline EQ5Dvas scores were categorised by: "best" (76-100), "good" (51-75), "bad" (26-50), and "worst" (0-25). Change in EQ5D-vas was categorised as 'no significant change' (<5 points increase/decrease); some worsening (5-9 points decrease); considerable worsening (>= 10 points decrease); some improvement (5-9 points increase); considerable improvement (>= 10 points increase). Associations with admission and death were estimated and interactions with patient sub-groups tested. Findings Among 23,553 patients (median age 74 [66-81] years, 8000 [34%] female), baseline EQ5D-vas was worse in older patients, women, and those with HFpEF compared to their respective counterparts. Compared to patients with the "best" EQ5D-vas, the adjusted associations for admission for those with "good", "bad" and "worst" EQ5D-vas were, respectively: HR 1.09 (1.04, 1.14), 1.27 (1.21, 1.33) and 1.39 (1.28, 1.51). Compared to no significant change in EQ5D-vas, the adjusted estimates for admission following some improvement, considerable improvement, some worsening and considerable worsening were, respectively: HR 0.91 (0.82, 1.01), 0.75 (0.70, 0.81), 1.04 (0.92, 1.16) and 1.25 (1.16, 1.35). Results were similar amongst groups and for HF admission and death. Interpretation Change in HRQoL was an independent indicator of risk of admission and death in people with all HF subtypes, irrespective of age and sex.

To improve the practical application of measuring exercise capacity, the purpose of this study was to compare the 6 min walk distance (6MWD) obtained at a 30 m track with the guidance of healthcare professionals vs. the 6MWD obtained by participants themselves using an app. In total, 37 participants performed both tests. The mean of the differences between the 6MWD on the tests was -4 +/- 45 m (95% limits of agreement: 84 to -99 m). The overall agreement between the two 6MWD measures was 97% with an intraclass correlation coefficient of 0.96 (95% confidence interval: 0.91-0.98, P < 0.001). The use of an app is feasible, reliable, and valid to assess the 6MWD.

Objectives: Exergaming is promising for patients with heart failure who are less inclined to start or maintain exercise programs involving traditional modes of physical activity. Although no effect on exercise capacity was found for an off-the-shelf exergame, it is important to gain insights into aspects related to costs to develop such interventions further.Materials and Methods: In a randomized controlled trial, the Heart Failure Wii study (HF-Wii study), the intervention group (exergame group) received an introduction to the exergame, the exergame was installed at home and help was offered when needed for 3 months. Patients received telephone follow-ups at 2, 4, 8, and 12 weeks after the installation. The control group (motivational support group) received activity advice and telephone follow-ups at 2, 4, 8, and 12 weeks. We collected data on hospital use and costs, costs of the exergame intervention, patient time-related costs, and willingness to pay.Results: No significant differences were found between the exergame group (n = 300) versus the motivational support group (n = 305) in hospital use or costs (1-year number of hospitalizations: P = 0.60, costs: P = 0.73). The cost of the intervention was 190 Euros, and the patient time-related costs were 98 Euros. Of the total estimated costs for the intervention, 287 Euros, patients were willing to pay, on average, 58%.Conclusion: This study shows that the costs of an intervention using an off-the-shelve exergame are relatively low and that the patients were willing to pay for more than half of the intervention costs. The trial is registered in ClinicalTrials.gov (NCT01785121).

INTRODUCTION: Hospitalization due to cardiac conditions is increasing worldwide, and follow-up after hospitalization usually occurs in a different healthcare setting than the one providing treatment during hospitalization. This leads to a risk of fragmented care and increases the need for coordination and continuity of care after hospitalization. Furthermore, international reports highlight the importance of improving continuity of care and state that it is an essential indicator of the quality of care. Patients' perceptions of continuity of care can be evaluated using the Patient Continuity of Care Questionnaire (PCCQ). However, the original version is extensive and may prove burdensome to complete; therefore, we aimed to develop and evaluate a short version of the PCCQ.

METHODS: This was a psychometric validation study. Content validity was evaluated among user groups, including patients (n = 7), healthcare personnel (n = 15), and researchers (n = 7). Based on the results of the content validity and conceptual discussions among the authors, 12 items were included in the short version. Data from patients were collected using a consecutive sampling procedure involving patients 6 weeks after hospitalization due to cardiac conditions. Rasch analysis was used to evaluate the psychometric properties of the short version of the PCCQ.

RESULTS: A total of 1000 patients were included [mean age 72 (SD = 10), 66% males]. The PCCQ-12 presented a satisfactory overall model fit and a person separation index of 0.79 (Cronbach's α: .91, ordinal α: .94). However, three items presented individual item misfits. No evidence of multidimensionality was found, meaning that a total score can be calculated. A total of four items presented evidence of response dependence but, according to the analysis, this did not seem to affect the measurement properties or reliability of the PCCQ-12. We found that the first two response options were disordered in all items. However, the reliability remained the same when these response options were amended. In future research, the benefits of the four response options could be evaluated.

CONCLUSION: The PCCQ-12 has sound psychometric properties and is ready to be used in clinical and research settings to measure patients' perceptions of continuity of care after hospitalization.

PATIENT OR PUBLIC CONTRIBUTION: Patients, healthcare personnel and researchers were involved in the study because they were invited to select items relevant to the short version of the questionnaire.

Background: In heart failure (HF), symptoms and health-related quality of life (HRQoL) are known to vary among different HF subgroups, but evidence on the association between changing HRQoL and outcomes has not been evaluated.

Objectives: The authors sought to investigate the relationship between changing symptoms, signs, and HRQoL and outcomes by sex, ethnicity, and socioeconomic status (SES).

Methods: Using the ASIAN-HF (Asian Sudden Cardiac Death in Heart Failure) Registry, we investigated associations between the 6-month change in a "global" symptoms and signs score (GSSS), Kansas City Cardiomyopathy Questionnaire overall score (KCCQ-OS), and visual analogue scale (VAS) and 1-year mortality or HF hospitalization.

Results: In 6,549 patients (mean age: 62 ± 13 years], 29% female, 27% HF with preserved ejection fraction), women and those in low SES groups had higher symptom burden but lower signs and similar KCCQ-OS to their respective counterparts. Malay patients had the highest GSSS (3.9) and lowest KCCQ-OS (58.5), and Thai/Filipino/others (2.6) and Chinese patients (2.7) had the lowest GSSS scores and the highest KCCQ-OS (73.1 and 74.6, respectively). Compared to no change, worsening of GSSS (>1-point increase), KCCQ-OS (≥10-point decrease) and VAS (>1-point decrease) were associated with higher risk of HF admission/death (adjusted HR: 2.95 [95% CI: 2.14-4.06], 1.93 [95% CI: 1.26-2.94], and 2.30 [95% CI: 1.51-3.52], respectively). Conversely, the same degrees of improvement in GSSS, KCCQ-OS, and VAS were associated with reduced rates (HR: 0.35 [95% CI: 0.25-0.49], 0.25 [95% CI: 0.16-0.40], and 0.64 [95% CI: 0.40-1.00], respectively). Results were consistent across all sex, ethnicity, and SES groups (interaction P > 0.05).

Conclusions: Serial measures of patient-reported symptoms and HRQoL are significant and consistent predictors of outcomes among different groups with HF and provide the potential for a patient-centered and pragmatic approach to risk stratification.

Aims A short time span from symptom onset to reperfusion is imperative in ST-segment elevation myocardial infarction (STEMI). The aim of this study was to determine factors associated with patient decision time for seeking care in STEMI, particularly how symptoms were experienced and affected patient response. Methods and results A multicentre cross-sectional self-report survey study was completed at five Swedish hospitals representing geographic diversity. The 521 patients were divided into three groups based on their time to respond to symptoms: early (<20 min), intermediate (20-90 min), and late responders (>90 min). Only one out of five patients both responded early and called an ambulance within 20 min. Believing symptoms were cardiac in origin [odds ratio (OR) 2.60], male sex (OR 2.40), left anterior descending artery as culprit artery (OR 1.77), and bystanders calling an ambulance (OR 4.32) were factors associated with early response and correct action. Associated symptoms such as dyspnoea (OR 1.67) and weakness (OR 1.65) were associated with an early action (<20 min), while chest pain was not independently associated with response time. Cold sweat (OR 0.61) prevented late care-seeking behaviour as did a high symptom burden (OR 0.86). Conclusion Misinterpretation of symptoms delays correct care-seeking behaviour because patient expectations may not be aligned with the experience when stricken by Myocardial infarction. Therefore, it is imperative to continuously enhance public awareness in correct symptom recognition and appropriate care-seeking behaviour and to make efforts to educate individuals at risk for STEMI as well as their next of kin.

We compare the prevalence of somatization in women and men with NCCP in relation to the general Swedish population, analyze the overlap between somatization, cardiac anxiety, and depressive symptoms, and explore variables associated with somatization. A cross sectional design is implemented with data collected between late October 2013 and early January 2014 from 552 patients with NCCP (mean age of 64 ​± ​17 years, 51% women) from four hospitals in southeast Sweden. Somatization was measured with the Patient Health Questionnaire-15, cardiac anxiety with the Cardiac Anxiety Questionnaire, and depressive symptoms with the Patient Health Questionnaire-9. Data were self-reported. The general population consists of 1898 females and 1508 males. Compared to the general population, somatization was significantly (p ​< ​.001) more common in both women and men with NCCP. Women with NCCP had significantly (p ​= ​.003) higher prevalence of somatization than men with NCCP. In patients with NCCP, 12% had only somatization, whereas 39% also reported cardiac anxiety and depressive symptoms. Younger age in women tended to be associated with somatization (OR ​= ​0.98, p ​< ​.073), but also being non-worker (OR ​= ​0.40, p ​= ​.024). In men, somatization tended to be associated with increased healthcare contacts (OR ​= ​1.82, p ​= ​.051). Furthermore, in both women and men, number of co-morbidities (OR ​= ​9.69 p ​< ​.001 and OR ​= ​3.45, p ​= ​.002), cardiac anxiety (OR ​= ​2.93 and OR ​= ​2.09, p ​< ​.001), and depressive symptoms (OR ​= ​8.71 and OR ​= ​4.44, p ​< ​.001) were significantly associated with somatization. Our study demonstrates that somatization is very common among patients with NCCP, especially in women. Patients with NCCP have higher somatization and greater overlap with psychological distress compared to the general population.