A mHealth application for the training of caregivers of children with developmental disorders in South Africa: rationale and initial piloting.

Background: Evidence-based mobile health (mHealth) interventions have been successful for an array of physical and mental health conditions. Children with developmental disorders (DD) often have secondary speech and language disorders. The lack of high-quality medical and educational services in low- and middle-income countries limits the opportunities for children with DD to succeed in life. South Africa currently offers limited access to education, social, and health services. Methods: Twelve caregivers of twelve children with DD between the ages of 3 and 6 years who already received monthly early childhood therapy participated in this study. A mHealth app, called Nna'Le'wena, a Setswana phrase meaning "Me and You", was designed, developed, installed, and tested on tablets. The app provided a systematic framework and guidance to the caregivers in order to use evidence-based communication interaction strategies with the children over a twelve-week period. The app could be used offline and provided audio instructions in English and Setswana, two dominant languages in South Africa. The app automatically generated log files and collected answers to weekly surveys. At the end of the study, caregivers were asked to evaluate the app by using relevant portions of the Mobile App Rating Scale (MARS). Results: Caregivers were able to successfully interact and use the app. The app was well-received and liked by the caregivers. Caregivers listened to the instructional audios in English and Setswana during the 12-week period. They were able to provide communication opportunities to their children during daily living activities, especially during play- and mealtime activities. Conclusions: The Nna'Le'wena app was successfully deployed and used by caregivers of children with DD. mHealth solutions can be effective and are relatively affordable solutions that can enhance health care and educational delivery in different settings, including in low-and middle-income countries with limited Internet capabilities.

Neural interfaces to monitor Interventional Cardiologists' mental workload: GAME-ON SAGA.

BACKGROUND: Interventional cardiologists' mental workload may impact on their performance as well as on patients' outcome. Nevertheless, little attention is paid to the monitoring and optimization of their mental status. Electroencephalogram (EEG)-based neural-interfaces can estimate mental fatigue and sleepiness through spectral analysis techniques and the amplitude of alpha waves is a widely validated indicator of mental engagement's level. METHODS: The present study aims to describe mental fatigue and sleepiness through variation of psychometrics and neurometrics during a work shift in a population of 7 interventional cardiologists. Neurometrics have been acquired at the beginning of the shift, before and after each procedure performed during 127 valid Alpha Attenuation Protocols (AAP), a practical test to quantify sleepiness measuring alpha power during 2 cycle of eye opening/closing protocol. We collected alpha waves' power measures obtained during resting condition (AA Coefficient-eyes open [AAC-eo], AAC-eyes closed [AAC-ec] and AAC-mean), related to fatigue, and AAC-ec/AAC-eo (AAC-ratio), related to sleepiness. RESULTS: From a two-months observation, the first interesting preliminary results emerged: 1) AAC-mean showed an upward trend during the working day, reflecting an increase in mental fatigue (P=0.01); 2) population-level psychometrics trend confirms the same tendency described by neurometrics, possibly reflecting a reduced awareness of the operator of his/her actual mental status. CONCLUSIONS: Developing a low cost and high feasibility device to monitor and analyze operator's mental engagement level could be extremely appealing, considering the lack of data in literature for interventional disciplines and recent technology developments.

Restrictive mitral inflow pattern is a strong independent predictor of lack of viable myocardium after a first acute myocardial infarction.

In patients with acute myocardial infarction (AMI) a restrictive mitral inflow pattern successfully predicts clinical outcome. The impact of myocardial viability on the mitral inflow velocities, however, is unknown. One hundred and forty-one patients with a first AMI underwent two-dimensional, Doppler and dobutamine stress echocardiography (DSE). Patients were classified into two groups based on Doppler measurement of left ventricular filling: a restrictive group (18 patients), and a non-restrictive group (123 patients). In the non-restrictive group, myocardial viability at DSE was found in 56 patients, while in the restrictive group only three patients showed contractile reserve (46% vs. 16%, p<0.03). The multivariate logistic regression analysis demonstrated that restrictive mitral inflow pattern was a strong independent predictor of lack of viable myocardium (OR=12.45, p<0.001).

Reliability of cardiac dimensions and valvular regurgitation assessment by sonographers using hand-carried ultrasound devices.

AIM: We sought to assess the reliability of some basic echocardiographic data obtained by trained sonographers using a hand-held ultrasound device. METHODS: One hundred and twelve consecutive patients (mean age 61, 64 males) referred for in-hospital or ambulatory routine echocardiography were considered. All patients underwent two-dimensional and colour Doppler examination performed by a trained sonographer equipped with a hand-held ultrasound device and by a certified cardiologist equipped with a standard platform, in random order. Indexed left ventricular end-diastolic and end-systolic transverse diameters, aortic root, end-systolic left atrium transverse diameter, end-diastolic interventricular septum and posterior wall thickness were calculated by two-dimensional left parasternal long-axis view in blind conditions. Mitral and aortic valve regurgitation were investigated by colour-Doppler imaging on parasternal and apical views and compared using a 0 to 4 semi-quantitative score. RESULTS: Overall feasibility was high for both settings (sonographers: 93%; cardiologists: 95%; P not significant). Excellent concordance of end-diastolic diameter (kappa 0.75), left atrium (kappa 0.76) and interventricular septum thickness (kappa 0.77) results was found. Good concordance was observed for end-systolic diameter (kappa 0.66), aortic root (kappa 0.64) and posterior wall thickness (kappa 0.67) results. A high linear correlation between the couples of results was present for all parameters. A good agreement of the mitral (kappa 0.66) and aortic (kappa 0.84) regurgitation scores was also found, with a low prevalence of discordant results (mitral regurgitation: 22%, aortic regurgitation: 9%) and no > or =2-point discrepancies. CONCLUSION: In a general population referred for Doppler echocardiography, basic cardiac linear dimensions and valvular regurgitation severity assessment by trained sonographers using hand-held ultrasound devices appear accurate and reliable for routine clinical use.