19 resultados para Home support service


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In Switzerland, decreases in regular hospital treatment after birth are leading increasingly to mother and child being cared for at home by independent midwives. The research herein was carried out in order to understand the needs of mothers in their home once they leave the hospital and what this midwife provided care consists of. In 2008, eight women from central Switzerland were interviewed on two separate occasions after the birth of their child, and the interviews were analysed using content analysing techniques. Mothers explained that they wanted their baby and themselves to be well cared for. They needed rest and support for recuperation and wished to spend quality time with their new family. The midwifes assisted the mothers to fulfil their needs by counselling, by instructing and by giving information, but they rarely encouraged them to be together as a family. The relationship between midwife and mother turned out to be an important support. Mothers were satisfied if mutual trust was built and if the midwife perceived their needs, respected their autonomy and took the time to be with them. Midwives contribute to the basic well-being of families and support women with medical expertise and ongoing care. Furthermore families need support in general household issues so that new mothers can recover sufficiently.

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Smart homes for the aging population have recently started attracting the attention of the research community. The "health state" of smart homes is comprised of many different levels; starting with the physical health of citizens, it also includes longer-term health norms and outcomes, as well as the arena of positive behavior changes. One of the problems of interest is to monitor the activities of daily living (ADL) of the elderly, aiming at their protection and well-being. For this purpose, we installed passive infrared (PIR) sensors to detect motion in a specific area inside a smart apartment and used them to collect a set of ADL. In a novel approach, we describe a technology that allows the ground truth collected in one smart home to train activity recognition systems for other smart homes. We asked the users to label all instances of all ADL only once and subsequently applied data mining techniques to cluster in-home sensor firings. Each cluster would therefore represent the instances of the same activity. Once the clusters were associated to their corresponding activities, our system was able to recognize future activities. To improve the activity recognition accuracy, our system preprocessed raw sensor data by identifying overlapping activities. To evaluate the recognition performance from a 200-day dataset, we implemented three different active learning classification algorithms and compared their performance: naive Bayesian (NB), support vector machine (SVM) and random forest (RF). Based on our results, the RF classifier recognized activities with an average specificity of 96.53%, a sensitivity of 68.49%, a precision of 74.41% and an F-measure of 71.33%, outperforming both the NB and SVM classifiers. Further clustering markedly improved the results of the RF classifier. An activity recognition system based on PIR sensors in conjunction with a clustering classification approach was able to detect ADL from datasets collected from different homes. Thus, our PIR-based smart home technology could improve care and provide valuable information to better understand the functioning of our societies, as well as to inform both individual and collective action in a smart city scenario.

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The new classification system of uterine anomalies from the European Society of Human Reproduction and Embryology and the European Society for Gynaecological Endoscopy defines T-shaped and tubular-shaped infantilis uteri as 'dysmorphic'. Such malformations have been proven to be associated with poor reproductive performance. A prospective observational study was conducted with 30 infertile women with dysmorphic uterus who underwent the novel Hysteroscopic Outpatient Metroplasty to Expand Dysmorphic Uteri (HOME-DU ) technique. Incisions are made on the uterine walls with a 5 Fr bipolar electrode. The procedure was conducted in outpatients under conscious sedation, using a 5-mm office hysteroscope. The technique was successful in all cases without complications. A net increase of uterine volume was found, as measured at hysteroscopy and three-dimensional transvaginal ultrasound (P < 0.001). Uterine morphology improved in all patients but one. At mean follow-up of 15 months, clinical pregnancy rate was 57% and term delivery rate 65%. These early data support HOME-DU as safe and effective in expanding the volume and normalizing the appearance of the uterine cavity of dysmorphic uteri. Although the cohort was small, pregnancy and live births outcomes were favourable in this poor-prognosis group, implying desirable benefits, which should be compared with other techniques.

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The economic crisis over the past years has challenged managers in many ways. In our longitudinal study during the global recession, we examine how perceived firm performance interacts with sources of supervisor support and stress to affect managers’ work-family conflict. First, we draw from Conservation of Resources theory to analyze how sources of supervisor support and stress relate to managers’ work-family conflict. Second, we explore how perceived firm performance modifies the relationships between these factors and work-family conflict. Our surveys of 182 managers before and during the crisis reveal that perceived firm performance significantly alters the effectiveness of sources of supervisor support in relieving work-family conflict. Additionally, perceived poor firm performance was found to intensify the negative effect of stressors on work-family conflict. Our results highlight the need to consider an organization’s perceived health when studying managers’ attitudes and career outcomes.