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Background: Among cardiovascular diseases, adult patients with congenital heart disease represent a population that has been continuously increasing, which is mainly due to improvement of the pathophysiological framing, including the development of surgical and reanimation techniques. However, approximately 20% of these patients will require surgery in adulthood and 40% of these cases will necessitate reintervention for residual defects or sequelae of childhood surgery. In this field, cardiac rehabilitation (CR) in the postsurgical phase has an important impact on the patient by improving psychophysical and clinical recovery in reducing fatigue and dyspnea to ultimately increase survival.

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Background: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based on longitudinal speech data are helpful in predicting momentary depression severity. Data analyses were based on a dataset including 30 inpatients during an acute depressive episode receiving sleep deprivation therapy in stationary care, an intervention inducing a rapid change in depressive symptoms in a relatively short period of time.

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Somatoform symptoms are widely spread in outpatient care. For treating physicians, it can be challenging to establish a relationship that is conducive to compliance and to take stabilising action when dealing with affected patients. As primary care providers, GPs are usually the first point of contact for patients with somatoform disorders; they set the course for stabilisation and further care.

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Objectives: Value-based pricing (VBP) determines product prices based on their perceived benefits. In healthcare, VBP prices medical technologies considering health outcomes and other relevant factors. This study applies VBP using economic evaluation to provider-patient communication, taking cognitive behavioral therapy (CBT) for adult primary care patients with depressive disorders as a case study.

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Objectives: This study measured changes in patient satisfaction levels before and after the introduction of primary care system strengthening interventions in urban, rural, and remote sites in the Philippines.

Methods: A previously validated 16-item questionnaire was distributed to 200 patients per site before implementation of interventions and to a different set of 200 patients 1 year after implementation. We compared the percentage change in highly satisfied patients per site before and after implementing interventions using a two-proportion Z-test.

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