Patient Engagement System for the Improvement of Healthcare Quality

Patient-reported experience and outcome measures may serve well for the public interest to improve the quality of healthcare by identifying existing obstacles in the organization of care, as well as assessing patients’ healthcare priorities. The project will result in the development of an integral tool for patient engagement in quality management, which will be integrated into the quality management and eHealth systems of a healthcare institution

Physical Activity Evaluation Using Activity Trackers for Type 2 Diabetes Prevention in Patients with Prediabetes

Background: Prediabetes is a reversible condition, but lifestyle-changing measures, such as increasing physical activity, should be taken. This article explores the use of Fitbit activity trackers to assess physical activity and its impact on prediabetic patient health. Methods: Intervention study. In total, 30 volunteers (9 males and 21 females), aged 32–65 years, with impaired glucose levels and without diabetes or moving disorders, received Fitbit Inspire activity trackers and physical activity recommendations. A routine blood check was taken during the first and second visits, and body composition was analyzed. Physical activity variability in time was assessed using a Poincare plot. Results: The count of steps per day and variability differed between patients and during the research period, but the change in total physical activity was not statistically significant. Significant positive correlations between changes in lipid values, body mass composition, and variability of steps count, distance, and minutes of very active physical activity were observed. Conclusions: When assessing physical activity, data doctors should evaluate not just the totals or the medians of the steps count, but also physical activity variability in time. The study shows that most changes were better linked to the physical activity variability than the total count of physical activity

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 amp;lt; 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 amp;lt; 0.05), lower left ventricular ejection fraction (LVEF) (per 5%, p amp;lt; 0.05), lower New York Heart Association (NYHA) class (class III vs class II, p amp;lt; 0.05). The subgroups of patients who had an initial EHFScBs total score amp;gt; 28, or from 17 to 28 with concomitant HADs depression subscale (HADs_D) score amp;lt;= 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.Funding Agencies|Dutch Ministry of Health, Department of Pharmaceutical Affairs and Medical Technology (GMT); NordForsks "Nordic Programme on Health and Welfare" [76015]</p

Prognostic Significance of Longitudinal Clinical Congestion Pattern in Chronic Heart Failure:Insights From TIME-CHF Trial

BACKGROUND: The relationship between longitudinal clinical congestion pattern and heart failure outcome is uncertain. This study was designed to assess the prevalence of congestion over time and to investigate its impact on outcome in chronic heart failure. METHODS: A total of 588 patients with chronic heart failure older than 60 years of age with New York Heart Association (NYHA) functional class >= II from the TIME-CHF study were included. The endpoints for this study were survival and hospitalization-free heart failure survival. Orthopnea, NYHA >= III, paroxysmal nocturnal dyspnea, hepatomegaly, peripheral pitting edema, jugular venous distension, and rales were repeatedly investigated and related to outcomes. These congestion-related signs and symptoms were used to design a 7-item Clinical Congestion Index. RESULTS: Sixty-one percent of patients had a Clinical Congestion Index >= 3 at baseline, which decreased to 18% at month 18. During the median [interquartile range] follow-up of 27.2 [14.3-39.8] months, 17%, 27%, and 47% of patients with baseline Clinical Congestion Index of 0, 1-2, and >= 3 at inclusion, respectively, died (P <.001). Clinical Congestion Index was identified as an independent predictor of mortality at all visits (P <.05) except month 6 and reduced hospitalization-free heart failure survival (P <.05). Successful decongestion was related to better outcome as compared to persistent congestion or partial decongestion (log-rank P <0.001). CONCLUSIONS: The extent of congestion as assessed by means of clinical signs and symptoms decreased over time with intensified treatment, but it remained present or relapsed in a substantial number of patients with heart failure and was associated with poor outcome. This highlights the importance of appropriate decongestion in chronic heart failure. (C) 2019 Elsevier Inc. All rights reserved