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1.
Stud Health Technol Inform ; 191: 100-4, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23792852

RESUMO

Poor adherence to drug therapies still represents an unsolved problem. In order to provide a useful solution to chronic patients of all ages--with particular attention to the elderly--who are subjected to complex therapeutic regimen, an innovative ICT solution, called Dr.Drin, has been designed and tested. The aim of the developed framework is to assist the patient during the therapy and to enable and support a bidirectional communication between all healthcare stakeholders (doctors, caregivers and family members) and the patient. During the screening phase, patients were interviewed to understand what are the common practices they usually adopt to remember when and how to take a drug. The solutions which they rely the most on are the list of drugs, writing on the packaging, and setting up alarms. Patients who complained about difficulties of adherence and who had a smartphone were subsequently recruited to test Dr.Drin over a three-months period. In the following, preliminary results from the first twelve patients are presented and analyzed to prove the effectiveness of Dr.Drin in supporting patients adherence to therapies.


Assuntos
Biorretroalimentação Psicológica/métodos , Doença Crônica/tratamento farmacológico , Quimioterapia Assistida por Computador/métodos , Adesão à Medicação , Sistemas de Alerta , Telemedicina/métodos , Interface Usuário-Computador , Humanos , Resultado do Tratamento
2.
Resuscitation ; 84(4): 501-7, 2013 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-23238423

RESUMO

INTRODUCTION: Outcome after cardiac arrest is dependent on the quality of chest compressions (CC). A great number of devices have been developed to provide guidance during CPR. The present study evaluates a new CPR feedback system (Mini-VREM: Mini-Virtual Reality Enhanced Mannequin) designed to improve CC during training. METHODS: Mini-VREM system consists of a Kinect(®) (Microsoft, Redmond, WA, USA) motion sensing device and specifically developed software to provide audio-visual feedback. Mini-VREM was connected to a commercially available mannequin (Laerdal Medical, Stavanger, Norway). Eighty trainees (healthcare professionals and lay people) volunteered in this randomised crossover pilot study. All subjects performed a 2 min CC trial, 1h pause and a second 2 min CC trial. The first group (FB/NFB, n=40) performed CC with Mini-VREM feedback (FB) followed by CC without feedback (NFB). The second group (NFB/FB, n=40) performed vice versa. Primary endpoints: adequate compression (compression rate between 100 and 120 min(-1) and compression depth between 50 and 60mm); compressions rate within 100-120 min(-1); compressions depth within 50-60mm. RESULTS: When compared to the performance without feedback, with Mini-VREM feedback compressions were more adequate (FB 35.78% vs. NFB 7.27%, p<0.001) and more compressions achieved target rate (FB 72.04% vs. 31.42%, p<0.001) and target depth (FB 47.34% vs. 24.87%, p=0.002). The participants perceived the system to be easy to use with effective feedback. CONCLUSIONS: The Mini-VREM system was able to improve significantly the CC performance by healthcare professionals and by lay people in a simulated CA scenario, in terms of compression rate and depth.


Assuntos
Reanimação Cardiopulmonar/educação , Reanimação Cardiopulmonar/instrumentação , Retroalimentação , Manequins , Adulto , Atitude , Estudos Cross-Over , Feminino , Humanos , Masculino , Movimento (Física) , Projetos Piloto , Estudos Prospectivos , Software , Interface Usuário-Computador
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