A Systematic Review of the Role of Telemedicine in Blood Pressure Control: Focus on Patient Engagement

Evaluating the Impact of a Virtual Health Coaching Lifestyle Program on Weight Loss after Sleeve Gastrectomy: A Prospective Study

Bariatric surgery (BS) is a leading treatment for obesity; however, adverse side effects (e.g., pain and infection) can deter patients or affect weight maintenance. This study investigates how a post-operative virtual health coaching lifestyle program, monitoring virtual weekly goal progress made by patients, affects weight loss after BS, specifically sleeve gastrectomy. Patients recruited for this 6-month study were classified with a BMI > 30 kg/m2 90 days post-operatively. Patients were prescribed lifestyle support delivered by certified health and wellness coaches (InHealth Lifestyle Therapeutics™). Demographic variables (e.g., age, weight, height, and gender) were obtained and compared according to initial, 3-, 6-month, and current weight through repeated measures ANOVA and post hoc comparison. Thirty-eight adult participants were included, with a mean age of 52 years ± 12.9 and with a majority (n = 35; 97%) of them being female. There were significant differences in weight reported across all five time points (p < 0.05), with the greatest weight difference seen between the initial (250.3 ± 45.5 lbs.) and final time points (226.7± 40.4 lbs.). This study suggests post-operative virtual health coaching can enhance weight loss outcomes after sleeve gastrectomy. Further research is needed to assess the long-term effects and cost-effectiveness of such a form of coaching for bariatric surgery patients.

Telemedicine in Cardiology: Enhancing Access to Care and Improving Patient Outcomes

Telemedicine has gained significant recognition, particularly since the COVID-19 pandemic. However, its roots date back to its significant role during major epidemic outbreaks such as severe acute respiratory syndrome (SARS), H1N1 and H7N9 influenza, and Middle East respiratory syndrome (MERS), where alternate means of accessing healthcare were adopted to combat the outbreak while limiting the spread of the virus. In Sub-Saharan Africa, telemedicine has supported healthcare delivery, patient and professional health education, disease prevention, and surveillance, starting with its first adoption in Ethiopia in 1980. In the United States, telemedicine has significantly impacted cardiology, particularly at-home monitoring programs, which have proven highly effective for patients with abnormal heart rhythms. Devices such as Holter monitors, blood pressure monitors, and implantable cardioverter-defibrillators have reduced mortality rates and hospital readmissions while improving healthcare efficiency by saving healthcare costs. However, the COVID-19 pandemic accelerated the adoption of telemedicine, as evidenced by a dramatic increase in telemedicine visits at institutions like New York University (NYU) Langone Health during and post-COVID-19 pandemic. In addition, telemedicine has also facilitated cardiac rehabilitation and improved access to specialized cardiology care in rural and underserved areas, reducing disparities in cardiovascular health outcomes. As technology advances, telemedicine is poised to play an increasingly significant role in cardiology and healthcare at large, enhancing patient management, healthcare efficiency, and cost reduction. This review underscores the significance of telemedicine in cardiology, its challenges, and future directions.

Disparities in Patient Portal Engagement Among Patients With Hypertension Treated in Primary Care

Importance

Patient portals are increasingly used for patient-clinician communication and to introduce interventions aimed at improving blood pressure control.

Objective

To characterize patient portal use among patients with hypertension managed in primary care.

Design, Settings, and Participants

This retrospective cohort study used electronic health records linked with patient portal log file data from a large, diverse Midwestern health care system. Patients with hypertension who had a primary care visit from January 1, 2021, to December 31, 2021, were included. The first visit in 2021 was considered the baseline visit; patient portal engagement was evaluated during the following year. Multivariate logistic regressions, presented as odds ratios (ORs) and 95% CIs, were used to evaluate associations between patient characteristics and patient portal engagement, adjusting for potential confounders.

Exposures

Primary exposures included 4 sociodemographic factors routinely collected in the electronic health record: race and ethnicity, insurance, preferred language, and smoking status.

Main Outcomes and Measures

Indicators of patient engagement with the patient portal included accessing the patient portal at least once, accessing the portal within 7 days of at least 50.0% of primary care physician (PCP) visits, frequent logins (<28 vs ≥28), messaging (<2 vs ≥2), and sharing home blood pressure readings.

Results

Among 366 871 patients (mean [SD], 63.5 [12.6] years), 52.8% were female, 3.4% were Asian, 7.8% were Hispanic, 19.7% were non-Hispanic Black, 66.9% were non-Hispanic White, and 2.3% were of other race or ethnicity. During the 1-year study period starting in 2021, 70.5% accessed the patient portal at least once, 60.2% accessed around the time of their PCP visits, 35.7% accessed the portal frequently, 28.9% engaged in messaging, and 8.7% shared home blood pressure readings. Compared with White patients, non-Hispanic Black and Hispanic patients had lower odds of any access (Black: OR, 0.53; 95% CI, 0.52-0.54; Hispanic: OR, 0.66; 95% CI, 0.64-0.68), access around PCP visit time (Black: OR, 0.49; 95% CI, 0.48-0.50; Hispanic: OR, 0.62; 95% CI, 0.60-0.64), frequent access (Black: OR, 0.56; 95% CI, 0.55-0.57; Hispanic: OR, 0.71; 95% CI, 0.69-0.73), and messaging (Black: OR, 0.63; 95% CI, 0.61-0.64); Hispanic: OR, 0.71; 95% CI, 0.69-0.73).

Conclusions and Relevance

This cohort study of patients with hypertension found clear sociodemographic disparities in patient portal engagement among those treated in primary care. Without special efforts to engage patients with portals, interventions that use patient portals to target hypertension may exacerbate disparities.

Prioritizing the primary prevention of heart failure: Measuring, modifying and monitoring risk

With the rising incidence of heart failure (HF) and increasing burden of morbidity, mortality, and healthcare expenditures, primary prevention of HF targeting individuals in at-risk HF (Stage A) and pre-HF (Stage B) Stages has become increasingly important with the goal to decrease progression to symptomatic (Stage C) HF. Identification of risk based on traditional risk factors (e.g., cardiovascular health which can be assessed with the American Heart Association's Life's Essential 8 framework), adverse social determinants of health, inherited risk of cardiomyopathies, and identification of risk-enhancing factors, such as patients with viral disease, exposure to cardiotoxic chemotherapy, and history of adverse pregnancy outcomes should be the first step in evaluation for HF risk. Next, use of guideline-endorsed risk prediction tools such as Pooled Cohort Equations to Prevent Heart Failure provide quantification of absolute risk of HF based in traditional risk factors. Risk reduction through counseling on traditional risk factors is a core focus of implementation of prevention and may include the use of novel therapeutics that target specific pathways to reduce risk of HF, such as mineralocorticoid receptor agonists (e.g., fineronone), angiotensin-receptor/neprolysin inhibitors, and sodium glucose co-transporter-2 inhibitors. These interventions may be limited in at-risk populations who experience adverse social determinants and/or individuals who reside in rural areas. Thus, strategies like telemedicine may improve access to preventive care. Gaps in the current knowledge base for risk-based prevention of HF are highlighted to outline future research that may target approaches for risk assessment and risk-based prevention with the use of artificial intelligence, genomics-enhanced strategies, and pragmatic trials to develop a guideline-directed medical therapy approach to reduce risk among individuals with Stage A and Stage B HF.

The Impact of Personality Traits on Patient Satisfaction after Telerehabilitation: A Comparative Study of Remote and Face-to-Face Musculoskeletal Rehabilitation during COVID-19 Lockdown

This study aimed to evaluate the differences in patient satisfaction between telerehabilitation and traditional face-to-face rehabilitation and to identify the impact of personality traits on patient satisfaction with the remote form of rehabilitation. Eighty participants with musculoskeletal pain were recruited for the study. The telerehabilitation group (n = 40) completed a single remote session of rehabilitation, whereas the traditional rehabilitation group (n = 40) completed a single face-to-face session. After therapy, each participant was asked to complete a tailored satisfaction survey using Google Forms. The Health Care Satisfaction Questionnaire (HCSQ) and the International Personality Item Pool-Big Five Markers-20 (IPIP-BFM-20) were used as outcome measures. Considering the results of patient satisfaction with healthcare service, there were no statistically significant differences between telerehabilitation and traditional rehabilitation groups in the total HCSQ score and its subscales. For the complete HCSQ, agreeableness, conscientiousness, and extraversion were essential predictor variables, accounting for 51% of the variance in patient satisfaction. In conclusion, there were no differences in patient satisfaction between telerehabilitation and traditional rehabilitation groups. In the telerehabilitation group, higher agreeableness levels and lower conscientiousness and extraversion level could predict patients' satisfaction with telerehabilitation.