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Amaç: Bu araştırma, çocuk hastalarda düşme riskini değerlendirmek ve hemşirelerin bu konudaki görüşlerini belirlemek amacıyla yapılmıştır.Materyal ve Metot: Tanımlayıcı ve kesitsel türdeki araştırmanın evrenini, Kars ilinde bulunan hastanelerin kliniklerinde yatarak tedavi görmekte olan 0-18 yaş arası çocuklar (N:161) ve bu kliniklerde çalışan hemşireler (N: 60) oluşturmuştur. Veriler; “Çocuk Düşme Riski Değerlendirme Formu”, Hemşireler İçin Tanıtıcı Bilgi Formu” ve “BUÇH II Düşme Riski Tanılama Ölçeği” ile toplanmıştır. Araştırma verileri SPSS for Windows 20 programı ile analiz edilmiştir.Bulgular: Çocukların %41,6’sında BUÇH II skoruna göre düşme riski vardır ve ortalama düşme riski puanı 5,06±1,04’dür. Erkek çocukların, 1-6 yaş grubunda olanların, oryantasyon sorunu olmayanların, ebeveyni yanında olanların, sedasyon almayanların ve mobilizasyonda kısıtlaması olmayanların düşme riski taşıma oranları daha yüksektir. Hemşirelerin %58,3’ü çocuklardaki düşmeleri mesleki bir hata olarak görmemektedir bununla birlikte %90’ı hemşirenin çocuklardaki düşmelerin önlenmesi ile ilgili sorumluluğu olduğunu düşünmektedir. Hemşirelerin %96,7’si her çocuğun düşme riski yönünden değerlendirilmesi gerektiğini, %85’i çalıştığı klinikte her çocuğu düşme riski açısından değerlendirdiğini ve %78,3’ü çalıştığı klinikte düşmeye yönelik yeterince önlem alındığını bildirmiştir.Sonuç: Çocuk hastaların önemli bir bölümü düşme açısından risklidir. Hastanede yatan tüm çocukların düşme risk düzeyleri uygun değerlendirme araçları kullanılarak belirlenebilir ve hemşirelerin düşmeyi önleme programları kapsamında yapılacak eğitimlerle konu hakkındaki farkındalıkları artırılabilir., Objective: This research was conducted to evaluate the risk of falls in pediatric patients and to determine the opinions of nurses on this issue.Materials and Methods: The population of the descriptive-cross-sectional study consisted of children aged between 0-18 years (N: 161) hospitalized in the services of hospitals in Kars province as well as nurses (N: 60) working in these services. The data were collected by using “Pediatric Fall Risk Assessment”, “Information Form for Nurses” and “BUCH II Fall Risk Scale”. The data of the study was analysed via SPSS 20 program.Results: 41.6% of the children included in the study had a risk of falling according to the BUCH II score and the mean score of risk of falling was 5.06 ± 1.04. Those who were boys, 1-6 age group and had no orientation problems, staying with their parents, non-sedated and not restricted by mobility are more likely to have a risk of falling. 58.3% of the nurses have stated that they do not consider that falls in children are professional mistake however 90% of them thought that nurses had responsibility for the prevention of falls in children. 96.7% of nurses, stated that each child should be assessed in terms of risk of falling, 85% assessed each child in their service in terms of risk of falling and 78.3% reported that they took adequate measures against falling in the service.Conclusion: A significant proportion of the pediatric patients were at risk for falls. The fall risk levels of all hospitalized children can be determined using appropriate assessment tools and nurses' awareness about the issue can be increased with trainings to be held within the scope of fall prevention programs.

Falls may occur in each ontogenesis phase, but they become more frequent in the elderly and lead to serious health consequences. Dynamic changes in senior citizens’ environment and lifestyle makes studies of risk for falls necessary. To determine the relationship between the risk for falls and the objective functional and structural examination in the elderly living in Poland. The research consisted of 196 females and 61 males aged 60–88 recruited from health clinics, senior citizen centers and Universities of the Third Age between 2009–2012. Following parameters were collected: functional physical tests “30 second Chair Stand Test” and Timed Up and Go Test”, the flexor muscles and knee extensors force, the bone mineral density was measured in distal radius of the forearm with the EXA – 3000, the total risk for fall assessed by 5 tests by abbreviated version of Fallscreen test. Multiple linear regression and linear correlation were used for assessment of relationship with total estimated risk for fall and other parameters. The subjects displayed significant dimorphic differences within the range of the functional parameters and bone mineral density to the advantage of males. Only in women results revealed a significant link between the risk for falls and the dynamic balance, as well as the maximum quadricep muscle force equal. Strength of the lower limb muscles seems to be critical for decreasing the risk for fall. Special programs for strengthening this part of the body for older people should be elaborate.

Introduction: Elderly persons have higher risk for falls, compared to younger population. Although no single risk factor causes all falls, a great deal of risk factors to which an individual is exposed, i.e. osteoporosis, lack of physical activity, impaired vision, usage of drugs, living settings etc, can be treated. Objective: To investigate the risk for falls in elderly patients treated in Family medicine teaching center (ECPM), Primary Health Care Center Banja Luka. Method: This prospective study was conducted in June 2012. The study included 150 patients aged 65 years and older. Patients were chosen randomly. In study were included patients who have visited their family doctors on every of Mondays in June 2012. The Tinetti Gait and Balance Instrument was used to asses the risk for falls. Patients were examined to asses gait and balance according to Tinetti questionnaire, and supplementary questionnaire was created to record data about age, sex, chronic diseases and drugs that patients take. Results: The study included 91 (60.7%) female and 59 (39.3%) male patients. The average age of patients was 74.71 years. 77 (51.3%) were aged 65 to 75 years and 73 (48.7%) were more than 75 years old. Results of Tinetti Gait and Balance Instrument showed that the risk for falls was high in 55 (36.7%), moderate in 31 (20.7%) and low in 64 (42.7%) patients. Conclusion: Approximately, one third of investigated patients had high risk for falls, what indicates that family doctors should be more involved in fall prevention in elderly and in constant educating of older adults and their families.

Introduction Falls among older adults result in high costs for care, rehabilitation and on personal level. The prevention of falls would lower the expenses. We will present a novel system for older adults, for preventing falls early enough. AAL - Ageing in Balance (AiB) develops the concept of fall prevention that can be implemented for the rehabilitation and gym exercises. Methods Self-assessment system is important because the demographic change in European countries produces a larger number of older adults and less care personnel. The self-assessment can be used individually, for assessing fall risks or as a supportive part of an assessment performed by multidisciplinary group of professionals. The assessment is done by filling up a questionnaire or performing certain activities such as physical or cognitive tasks. The developed automatic assessment will use information gathering from some sensors and activity monitoring. It is possible to assess the sway of the body from a simple scale with sensors. The system uses data to calculate values for a set of predefined parameters and fuses the derived information with any other available assessments to determine the fall risk of a person. If there are differences compared to normal level, the system gives an alert and precaution actions can be made, or the system can guide the user to seek into the professional assessment, if the fall risk is high. AiB will provide a risk factor framework eventually to be based on a formal ontology and typing system. Motivated people are eager to estimate their own fall risk and to reduce it. This kind of behaviour can be called preventive rehabilitation behaviour that is based on people's own will to take care of his/her physical and mental abilities. After finding out the risk factors, the system recommends what kind of actions would be needed for lowering them. Personal activation needs motivating tools and these will be developed. They are designed and built up to support maintaining or improving the muscle strength, guide balance training, review and monitor pharmacological treatments, provide psychological and cognitive exercises, to name but a few. The fall risk of the older person is regularly being assessed to verify the effectiveness of the interventions. Reminders will be used to keep the older adults active and motivated to carry on their exercises. It will be possible to share the information and achieved results with own family members, friends and health care personnel when needed. Results The older adults and professional care givers are involved in designing and specifying the developed system right from the beginning. They evaluate the proposed scenarios in focus group interviews and take part in iterative system implementation and testing. The effectiveness of the system is tested in field trials from two perspectives: 1.) system's ability to estimate multifactorial fall risk of a person and 2.) system's ability to prevent falls by measuring the change of fall risk of a person, after using the preventive system for a test period. Because the aim is to support and motivate older adults to be active and use intelligent gym equipment, some are used during the project. Conclusions This method to assess the risk for falls will be developed with older users and specialists. The system is beneficial for both interest groups in the sense of prevention and follow-up. During the phase of the project researchers have surveyed the phenomena and collected data for the state of art description. Based on the information the measurable factors will be decided. So far six (6) scenarios are written and evaluated with focus groups.

Introduction Falls among older adults result in high costs for care, rehabilitation and on personal level. The prevention of falls would lower the expenses. We will present a novel system for older adults, for preventing falls early enough. AAL - Ageing in Balance (AiB) develops the concept of fall prevention that can be implemented for the rehabilitation and gym exercises. Methods Self-assessment system is important because the demographic change in European countries produces a larger number of older adults and less care personnel. The self-assessment can be used individually, for assessing fall risks or as a supportive part of an assessment performed by multidisciplinary group of professionals. The assessment is done by filling up a questionnaire or performing certain activities such as physical or cognitive tasks. The developed automatic assessment will use information gathering from some sensors and activity monitoring. It is possible to assess the sway of the body from a simple scale with sensors. The system uses data to calculate values for a set of predefined parameters and fuses the derived information with any other available assessments to determine the fall risk of a person. If there are differences compared to normal level, the system gives an alert and precaution actions can be made, or the system can guide the user to seek into the professional assessment, if the fall risk is high. AiB will provide a risk factor framework eventually to be based on a formal ontology and typing system. Motivated people are eager to estimate their own fall risk and to reduce it. This kind of behaviour can be called preventive rehabilitation behaviour that is based on people's own will to take care of his/her physical and mental abilities. After finding out the risk factors, the system recommends what kind of actions would be needed for lowering them. Personal activation needs motivating tools and these will be developed. They are designed and built up to support maintaining or improving the muscle strength, guide balance training, review and monitor pharmacological treatments, provide psychological and cognitive exercises, to name but a few. The fall risk of the older person is regularly being assessed to verify the effectiveness of the interventions. Reminders will be used to keep the older adults active and motivated to carry on their exercises. It will be possible to share the information and achieved results with own family members, friends and health care personnel when needed. Results The older adults and professional care givers are involved in designing and specifying the developed system right from the beginning. They evaluate the proposed scenarios in focus group interviews and take part in iterative system implementation and testing. The effectiveness of the system is tested in field trials from two perspectives: 1.) system's ability to estimate multifactorial fall risk of a person and 2.) system's ability to prevent falls by measuring the change of fall risk of a person, after using the preventive system for a test period. Because the aim is to support and motivate older adults to be active and use intelligent gym equipment, some are used during the project. Conclusions This method to assess the risk for falls will be developed with older users and specialists. The system is beneficial for both interest groups in the sense of prevention and follow-up. During the phase of the project researchers have surveyed the phenomena and collected data for the state of art description. Based on the information the measurable factors will be decided. So far six (6) scenarios are written and evaluated with focus groups.