Recurrent Anterior Dislocation of the Shoulder in the Elderly Person. A Case Report.

Introduction: An elderly person is considered elderly when he or she reaches 60 years or more. Among the problems that occur in the elderly is the loss of teeth. Elderly patients who lose several teeth might decrease the vertical dimension; additional tooth migration causes extensive loss contact. Obtaining an ideal occlusal schema was challenging for dental practitioners. A suitable and efficient preprosthetic plan might be essential to acquire comfortable and good dentures for patients. Our objective is to organize a suitable and efficient preprosthetic, planning to acquire comfortable for patient. Case Report: A 69 year old man who had lost several teeth due to caries on teeth 15, 14, 13, 12, 11, 21, 24, 25, 26, 34, 37, 44, 46 and 47. He had used dentures over the last 15 years and needed a new one because the previous dentures was impaired. We determined the tentative vertical dimension and position to the articulator. Preprosthetic planning fixed the prosthesis on 36 and 27 with extraction on 18. A second impression was made and placed on the articulator, arranging the teeth and try in wax dentures continously. We used a definitive dentures and suggest a periodic control. Conclusion: The loss of several teeth decreased vertical dimensions, and existing tooth migration caused extensive loss contact. The systematic preprosthetic planning might be arranged on behalf of success prosthesis.

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Recurrent anterior dislocation of the hip: Case report with arthrographic findings

Skeletal Radiology ◽

10.1007/bf00357902 ◽

1983 ◽

Vol 10 (4) ◽

pp. 262-264 ◽

Cited By ~ 10

Author(s):

Betsy Guyer ◽

E. Mark Levinsohn

Keyword(s):

Case Report ◽

Anterior Dislocation ◽

Dislocation Of The Hip ◽

Recurrent Anterior Dislocation

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HOME CARE IN OUTPATIENT CARE – STATE AND DEVELOPMENT IN BULGARIA

Knowledge International Journal ◽

10.35120/kij2802571s ◽

2018 ◽

Vol 28 (2) ◽

pp. 571-574

Author(s):

Ivanka Stambolova ◽

Stefan Stambolov

Keyword(s):

Home Care ◽

Outpatient Care ◽

Care Service ◽

Elderly Care ◽

Care Center ◽

Elderly Person ◽

Chronically Ill ◽

The Elderly ◽

Legal Regulation ◽

Health And Social Care

In outpatient care the home care, including hospices, is recognized as a model for providing quality, cost-effective and charitable care. The focus is mainly on the care that helps everyday lifeof the patient as well as the relatives, rather than on treatment, and in most cases it takes place in the patients' home. In Europe, in recent years there has been a real "boom" in home care due to demographic processes linked to increased needs for elderly care and chronically ill under the conditions of limited financial resources.In outpatient medical care in our country by means of a national framework contract there are regulated visits to the patient's home by a doctor, as well as visits by medical staff employed by him - nurse, midwife, medical assistant / paramedic / for manipulation, counseling and monitoring. At the same time there is no regulated legal activity in the Republic of Bulgaria, which is essentially the subject of home care.Since 1994 „Caritas“ has carried out the "Home Care" service, which provides a complex - health and social care for over 360 sick adults in a place where the elderly person feels the most comfortable - in their own home. „Caritas Home Care“ is provided by mobile teams of nurses and social assistants who visit the elderly at home and provide them with the necessary care according to their health and social needs.With the establishment of the first „Home Care Center“ in Lozenets region, Sofia, with the support of the PHARE ACCESS program in 2003, the Bulgarian Red Cross introduces in Bulgaria an integrated model for provision of health care and social services in the home of adults, chronically ill and people with permanent disabilities. To date, there are a number of problems in home care related to the realization of home care for patients in need in out-of-hospital settings: lack of legal regulation for home care, lack of qualified staff in outpatient care; lack of organization and structures for care; unsettled funding and the inability of the part of the population that is most in need of care to pay for it, there is no regulation to control the activity. Although home care began over 20 years ago, our country is yet to make its way to the European program called „Home care in Europe“.

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AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks

Sensors ◽

10.3390/s21051889 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1889

Author(s):

Francisco Luna-Perejón ◽

Luis Muñoz-Saavedra ◽

Javier Civit-Masot ◽

Anton Civit ◽

Manuel Domínguez-Morales

Keyword(s):

Elderly Person ◽

Fall Detection ◽

The Elderly ◽

Daily Life Activities ◽

Learning Classifier ◽

The People ◽

Activity Types ◽

Remote Monitoring Systems ◽

Secondary Study

Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, it is convenient that a caregiver or family member visits them periodically. However, these visits do not prevent falls when the elderly person is alone. Furthermore, in exceptional circumstances, such as a pandemic, we must avoid unnecessary mobility. This is why remote monitoring systems are currently on the rise, and several commercial solutions can be found. However, current solutions use devices attached to the waist or wrist, causing discomfort in the people who wear them. The users also tend to forget to wear the devices carried in these positions. Therefore, in order to prevent these problems, the main objective of this work is designing and recollecting a new dataset about falls, falling risks and activities of daily living using an ankle-placed device obtaining a good balance between the different activity types. This dataset will be a useful tool for researchers who want to integrate the fall detector in the footwear. Thus, in this work we design the fall-detection device, study the suitable activities to be collected, collect the dataset from 21 users performing the studied activities and evaluate the quality of the collected dataset. As an additional and secondary study, we implement a simple Deep Learning classifier based on this data to prove the system’s feasibility.

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