The impact of telemedicine in cardiac critical care

The effect of tele-yoga training in healthy women on menstrual symptoms, quality of life, anxiety-depression level, body awareness, and self-esteem during COVID-19 pandemic

BACKGROUND AND AIMS

This study was planned to examine the effects of tele-yoga training on menstrual symptoms, quality of life, anxiety-depression level, body awareness, and self-esteem in healthy women.

METHODS

Thirty-two healthy premenopausal women between the ages of 18 and 45 were included in the study. The women were randomly divided into two groups as tele-yoga training (n: 16) and the control group (n: 16). The tele-yoga training was performed on the Zoom software for 6 weeks, 2 times a week and 45 min a day. No intervention was made in the control group. Menstrual pain and symptoms by Menstrual Symptom Scale (MSS), quality of life by Nottingham Health Profile (NHP), depression levels by Beck Depression Scale (BDS), anxiety levels by State and Trait Anxiety Scale (STAI), body awareness by Body Awareness Questionnaire (BAQ), and self-esteem by Rosenberg Self-Esteem Scale (RSES) were determined.

RESULTS

In the tele-yoga training group, statistically significant improvements were observed in the MSS total (p = 0.001), negative effects (p = 0.003), menstrual pain symptoms (p = 0.003), coping methods (p = 0.001) sub-parameters, BDS score (p = 0.000), NHP sleep (p = 0.021), energy (p = 0.002), emotional (p = 0.000), and isolation (p = 0.039) sub-parameters. In the control group, there was statistically significant worsening in the NHP total score (p = 0.000). As regards the differences in values between the two groups, there were statistically difference in favor of the training group in sub-parameters of MSS, NHP sleep, energy, emotional, and isolation sub-parameters, and BDS and BAQ scores (p < 0.05).

CONCLUSION

It is thought that tele-yoga training may be a safe and effective method in reducing menstrual symptoms and depression, increasing quality of life, and body awareness.

Effects of eHealth Interventions on Quality of Life and Psychological Outcomes in Cardiac Surgery Patients: Systematic Review and Meta-analysis

BACKGROUND

Patients undergoing heart surgery may experience a range of physiological changes, and the postoperative recovery time is long. Patients and their families often have concerns about quality of life (QoL) after discharge. eHealth interventions may improve patient participation, ensure positive and effective health management, improve the quality of at-home care and the patient's quality of life, and reduce rates of depression.

OBJECTIVE

The purpose of this study was to evaluate the effects of eHealth interventions on the physiology, psychology, and compliance of adult patients after cardiac surgery to provide a theoretical basis for clinical practice.

METHODS

We conducted systematic searches of the following 4 electronic databases: PubMed, Embase, CINAHL, and the Cochrane Central Register of Controlled Trials. Mean (SD) values were used to calculate the pooled effect sizes for all consecutive data, including QoL, anxiety, and depression. Where the same results were obtained using different instruments, we chose the standardized mean difference with a 95% CI to represent the combined effect size; otherwise, the mean difference (MD) with a 95% CI was used. Odds ratios were used to calculate the combined effect size for all dichotomous data. The Cohen Q test for chi-square distribution and an inconsistency index (I²) were used to test for heterogeneity among the studies. We chose a fixed-effects model to estimate the effect size if there was no significant heterogeneity in the data (I²≤50%); otherwise, a random-effects model was used. The quality of the included studies was assessed using the Cochrane risk-of-bias tool for randomized trials (RoB 2).

RESULTS

The search identified 3632 papers, of which 19 met the inclusion criteria. In terms of physical outcomes, the score of the control group was lower than that of the intervention group (MD 0.15, 95% CI 0.03-0.27, I²=0%, P=.02). There was no significant difference in the mental outcomes between the intervention and control groups (MD 0.10, 95% CI -0.03 to 0.24, I²=46.4%, P=.14). The control group's score was lower than that of the intervention group for the depression outcomes (MD -0.53, 95% CI -0.89 to -0.17, I²=57.1%, P=.004). Compliance outcomes improved in most intervention groups. The results of the sensitivity analysis were robust. Nearly half of the included studies (9/19, 47%) had a moderate to high risk of bias. The quality of the evidence was medium to low.

CONCLUSIONS

eHealth improved the physical component of quality of life and depression after cardiac surgery; however, there was no statistical difference in the mental component of quality of life. The effectiveness of eHealth on patient compliance has been debated. Further high-quality studies on digital health are required.

TRIAL REGISTRATION

PROSPERO CRD42022327305; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=327305.

Systematic Review of Real-time Remote Health Monitoring System in Triage and Priority-Based Sensor Technology: Taxonomy, Open Challenges, Motivation and Recommendations

The new and ground-breaking real-time remote monitoring in triage and priority-based sensor technology used in telemedicine have significantly bounded and dispersed communication components. To examine these technologies and provide researchers with a clear vision of this area, we must first be aware of the utilised approaches and existing limitations in this line of research. To this end, an extensive search was conducted to find articles dealing with (a) telemedicine, (b) triage, (c) priority and (d) sensor; (e) comprehensively review related applications and establish the coherent taxonomy of these articles. ScienceDirect, IEEE Xplore and Web of Science databases were checked for articles on triage and priority-based sensor technology in telemedicine. The retrieved articles were filtered according to the type of telemedicine technology explored. A total of 150 articles were selected and classified into two categories. The first category includes reviews and surveys of triage and priority-based sensor technology in telemedicine. The second category includes articles on the three-tiered architecture of telemedicine. Tier 1 represents the users. Sensors acquire the vital signs of the users and send them to Tier 2, which is the personal gateway that uses local area network protocols or wireless body area network. Medical data are sent from Tier 2 to Tier 3, which is the healthcare provider in medical institutes. Then, the motivation for using triage and priority-based sensor technology in telemedicine, the issues related to the obstruction of its application and the development and utilisation of telemedicine are examined on the basis of the findings presented in the literature.

Management of the Critically Ill Adult With Congenital Heart Disease

Survival of adults with congenital heart disease (CHD) has improved significantly over the last 2 decades, leading to an increase in hospital and intensive care unit (ICU) admissions of these patients. Whereas most of the ICU admissions in the past were related to perioperative management, the incidence of medical emergencies from long-term sequelae of palliative or corrective surgical treatment of these patients is rising. Intensivists now are confronted with patients who not only have complex anatomy after congenital cardiac surgery, but also complex pathophysiology due to decades of living with abnormal cardiac anatomy and diseases of advanced age. Comorbidities affect all organ systems, including cognitive function, pulmonary and cardiovascular systems, liver, and kidneys. Critical care management requires an in-depth understanding of underlying anatomy and pathophysiology in order to apply contemporary concepts of adult ICU care to this population and optimize patient outcomes. In this review, the main CHD lesions and their common surgical management approaches are described, and the sequelae of CHD physiology are discussed. In addition, the effects of chronic comorbidities on the management of critically ill adults are explored, and the adjustments of current ICU management modalities and pharmacology to optimize care are discussed.

Personalized Technologies in Chronic Gastrointestinal Disorders: Self-monitoring and Remote Sensor Technologies

With increased access to high-speed Internet and smartphone devices, patients have started to use mobile applications (apps) for various health needs. These mobile apps are now increasingly used in integration with telemedicine and wearables to support fitness, health education, symptom tracking, and collaborative disease management and care coordination. More recently, evidence (especially around remote patient monitoring) has started to build in some chronic diseases, and some of the digital health technologies have received approval from the Food and Drug Administration. With the changing healthcare landscape and push for value-based care, adoption of these digital health initiatives among providers is bound to increase. Although so far there is a dearth of published evidence about effectiveness of these apps in gastroenterology care, there are ongoing trials to determine whether remote patient monitoring can lead to improvement in process metrics or outcome metrics for patients with chronic gastrointestinal diseases.