47 research outputs found

    Patient safety. Factors for and perceived consequences of nursing errors by nursing staff in home care services

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    Aim: To identify factors for and perceived consequences of nursing errors by nursing staff in home care services in correlation with qualification, work experience, working hours and trainings. Background: Patient safety has increasingly been brought into focus of politics and care practices over the past few years. However, little evidence has been provided yet on nursing errors in out-of-hospital settings. Design: A cross-sectional study. Methods: Randomized sample of 107 home care services and 656 nurses and nursing assistants recruited from all 16 federal states in Germany. Results: Missing trainings on error management within the past 2 years were identified to be an important factor for mistakes regarding hygienic measures and medication administration. However, most errors arose in documentation without any significant differences in qualification, work experience, training and working hours. Conclusion: Findings indicate that insufficient hygiene and medication administration might be reduced by implementing error management trainings on a regular basis in home care services

    A Multicenter Study

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    PURPOSE The purpose of this study was to evaluate associations among use of walking aids, mobility status, and occurrence of urinary incontinence (UI) in geriatric patients residing in nursing homes, and to examine associations between UI severity (frequency and amount) and its impact on health-related quality of life (QoL). DESIGN Multicenter descriptive cross-sectional prevalence study. SUBJECTS AND SETTING A total of 2044 patients from nursing homes were included in the study. A majority were female (72.0%), the mean age of participants was 82.1 years (SD 11.2), their mean body mass index was 26.1 (SD 5.4), and their mean Care Dependency Scale score was 46.0 (SD 18.2), indicating a medium to high care dependency. The study setting was 30 nursing homes throughout Germany from 2014 to 2015. METHODS Data were collected by trained nurses using a standardized data collection form to collect information about demographic characteristics, health conditions, mobility status measured according to the Elderly Mobility Scale (EMS), UI, and QoL measured using the International Consultation of Incontinence Questionnaire Short Form (ICIQ-SF). RESULTS The prevalence of UI was 69.7% (n = 1804). Analysis of variance showed that, in 1659 nursing home residents with information on UI, 572 reported a medium amount of leakage with a mean impact on health-related QoL of 2.2 (SD 2.2, P < .001) on a scale from 0 (no impact) to 10 (very high impact). The mean of the impact on QoL in 235 residents who reported a large amount of leakage was 2.4 (SD 3.0, P < .001). In 1741 residents with information on the frequency of UI, 637 reported being urinary incontinent more than once a day with a mean impact on QoL of 2.2 (SD 2.1, P < .001) and 359 residents with permanent UI stated a mean impact on QoL of 2.1 (SD 2.8, P < .001). According to the bivariate association of UI with use of walking aids, the highest prevalence of UI (61.2%) was in patients who did not use any walking aids. The Chi-square Automatic Interaction Detector (CHAID) of the relationship between mobility according to the EMS and UI indicated that 71.1% of all patients with UI did not use any walking aids, although their mobility status had been reduced. CONCLUSIONS Findings indicate a significant association between impaired mobility and UI in nursing home residents. Chronic, severe urinary incontinence exerted the greatest impact on health-related QoL. Therefore, we recommend measures to preserve or regain mobility to minimize or prevent UI in geriatric residents and patients and, thus, increase their health-related QoL

    Using New Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System

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    Various gait parameters can be used to assess the risk of falling in older adults. However, the state-of-the-art systems used to quantify gait parameters often come with high costs as well as training and space requirements. Gait analysis systems, which use mobile and commercially available cameras, can be an easily available, marker-free alternative. In a study with 44 participants (age ≥ 65 years), gait patterns were analyzed with three different systems: a pressure sensitive walkway system (GAITRite-System, GS) as gold standard, Motognosis Labs Software using a Microsoft Kinect Sensor (MKS), and a smartphone camera-based application (SCA). Intertrial repeatability showed moderate to excellent results for MKS (ICC(1,1) 0.574 to 0.962) for almost all measured gait parameters and moderate reliability in SCA measures for gait speed (ICC(1,1) 0.526 to 0.535). All gait parameters of MKS showed a high level of agreement with GS (ICC(2,k) 0.811 to 0.981). Gait parameters extracted with SCA showed poor reliability. The tested gait analysis systems based on different camera systems are currently only partially able to capture valid gait parameters. If the underlying algorithms are adapted and camera technology is advancing, it is conceivable that these comparatively simple methods could be used for gait analysis

    Severe Weight Loss and Its Association with Fatigue in Old Patients at Discharge from a Geriatric Hospital

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    Although malnutrition is frequent in the old, little is known about its association with fatigue. We evaluated the relation of self-reported severe weight loss with fatigue and the predictors for fatigue in old patients at hospital discharge. Severe weight loss was defined according to involuntary weight loss ≥5% in the last three months. We determined fatigue with the validated Brief Fatigue Inventory questionnaire. The regression analyses were adjusted for age, sex, number of comorbidities, medications/day, and BMI. Of 424 patients aged between 61 and 98 y, 34.1% had severe weight loss. Fatigue was higher in patients with severe weight loss (3.7 ± 2.3 vs. 3.2 ± 2.3 points, p = 0.021). In a multinomial regression model, weight loss was independently associated with higher risk for moderate fatigue (OR:1.172, CI:1.026-1.338, p = 0.019) and with increased risk for severe fatigue (OR:1.209, CI:1.047-1.395, p = 0.010) together with the number of medications/day (OR:1.220, CI:1.023-1.455, p = 0.027). In a binary regression model, severe weight loss predicted moderate-to-severe fatigue in the study population (OR:1.651, CI:1.052-2.590, p = 0.029). In summary, patients with self-reported severe weight loss at hospital discharge exhibited higher fatigue levels and severe weight loss was an independent predictor of moderate and severe fatigue, placing these patients at risk for impaired outcome in the post-hospital period

    A Cross‐Sectional Study

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    The burdens caused by chronic wounds on the affected persons themselves and also on the health care system are well recognised. The aim of this study was to investigate the prevalence and risk factors of chronic wounds in German nursing homes. An annual cross-sectional study was conducted in nursing home residents from 2012 to 2018. The proportion of men affected by chronic wounds was to some extent higher than that of women, 9.0% males vs 7.5% females. In total, 7.8% of all residents were affected by chronic wounds. Of all residents with a chronic wound, 50.5% were affected by pressure ulcer. Male residents were twice as often affected by diabetic foot ulcer than female residents (18.0% vs 8.9%; P = 0.002). Bivariate analysis showed that chronic wounds were highly associated with poor nutrition, urinary incontinence, stool incontinence, diabetes mellitus, and limited mobility (P = 0.000). According to multivariate analysis, the strongest predictors for chronic wounds were limited mobility and diabetes mellitus. The highest prevalence of chronic wounds was in residents who were not restricted in their mobility, had diabetes, were male, and lived in a metropolitan region (23.7%). This study identified the prevalence and risk factors of chronic wounds in nursing home residents. Further research is needed to identify causal factors of the gender difference in the prevalence of chronic wounds. This may have an impact on the choice of prophylactic and therapeutic measures

    Digital pen technology for conducting cognitive assessments: a cross-over study with older adults

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    Many digitalized cognitive assessments exist to increase reliability, standardization, and objectivity. Particularly in older adults, the performance of digitized cognitive assessments can lead to poorer test results if they are unfamiliar with the computer, mouse, keyboard, or touch screen. In a cross-over design study, 40 older adults (age M = 74.4 ± 4.1 years) conducted the Trail Making Test A and B with a digital pen (digital pen tests, DPT) and a regular pencil (pencil tests, PT) to identify differences in performance. Furthermore, the tests conducted with a digital pen were analyzed manually (manual results, MR) and electronically (electronic results, ER) by an automized system algorithm to determine the possibilities of digital pen evaluation. ICC(2,k) showed a good level of agreement for TMT A (ICC(2,k) = 0.668) and TMT B (ICC(2,k) = 0.734) between PT and DPT. When comparing MR and ER, ICC(2,k) showed an excellent level of agreement in TMT A (ICC(2,k) = 0.999) and TMT B (ICC(2,k) = 0.994). The frequency of pen lifting correlates significantly with the execution time in TMT A (r = 0.372, p = 0.030) and TMT B (r = 0.567, p < 0.001). A digital pen can be used to perform the Trail Making Test, as it has been shown that there is no difference in the results due to the type of pen used. With a digital pen, the advantages of digitized testing can be used without having to accept the disadvantages

    App-Based Evaluation of Older People’s Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study

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    Background: Falls and the risk of falling in older people pose a high risk for losing independence. As the risk of falling progresses over time, it is often not adequately diagnosed due to the long intervals between contacts with health care professionals. This leads to the risk of falling being not properly detected until the first fall. App-based software able to screen fall risks of older adults and to monitor the progress and presence of fall risk factors could detect a developing fall risk at an early stage prior to the first fall. As smartphones become more common in the elderly population, this approach is easily available and feasible. Objective: The aim of the study is to evaluate the app Lindera Mobility Analysis (LIN). The reference standards determined the risk of falling and validated functional assessments of mobility. Methods: The LIN app was utilized in home- and community-dwelling older adults aged 65 years or more. The Berg Balance Scale (BBS), the Tinetti Test (TIN), and the Timed Up & Go Test (TUG) were used as reference standards. In addition to descriptive statistics, data correlation and the comparison of the mean difference of analog measures (reference standards) and digital measures were tested. Spearman rank correlation analysis was performed and Bland-Altman (B-A) plots drawn. Results: Data of 42 participants could be obtained (n=25, 59.5%, women). There was a significant correlation between the LIN app and the BBS (r=-0.587, P<.001), TUG (r=0.474, P=.002), and TIN (r=-0.464, P=.002). B-A plots showed only few data points outside the predefined limits of agreement (LOA) when combining functional tests and results of LIN. Conclusions: The digital app LIN has the potential to detect the risk of falling in older people. Further steps in establishing the validity of the LIN app should include its clinical applicability

    Smart@home – supporting safety and mobility of elderly and care dependent people in their own homes through the use of technical assistance systems and conventional mobility supporting tools: a cross-sectional survey

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    Background: The use of technical solutions and conventional mobility supporting aids can support the independence of people into old age in their own homes. However, we found relatively few empirical investigations on the effects and costs of these systems. Methods: The aim of the study was to investigate usability, user satisfaction and the correlation between costs and benefits of different built-in smart home solutions and conventional mobility supporting tools in the home of elderly, partially care-dependent tenants (> 65 years). A cross-sectional survey was conducted from February to March 2018 with tenants of a housing association in apartments equipped with smart home technology and conventional mobility supporting tools. The response rate in the intervention group was n = 37 persons (out of 46 tenants with installed smart home and conventional solutions) and in the control group n = 64 persons (out of 100 tenants without built-in smart home and conventional solutions). Data were collected by a written questionnaire regarding usability and satisfaction of the tenants with the built-in smart home solutions and conventional mobility supporting tools. In addition, both the intervention and the control group were asked general questions about communication, safety and how to deal with the need for long-term care in their own living environment. Results: Results showed that with regard to usability, satisfaction and price performance ratio of the installed smart home solutions, the installation of the corresponding solutions with an overall score of 1.41 (on a scale of 1 (very good) to 6 (unsatisfactory)) was mostly positively evaluated by the tenants. Overall, users rated the installed smart home solutions better than the conventional mobility supporting tools (such as handholds and increased balcony floor level). Conclusions: Analysis of the price performance ratio showed that smart home solutions are generally more expensive than conventional tools, but also contribute significantly to an increased security of the tenants, and thus may enable longer living in a familiar environment. We recommend modularized offers consisting of various components of smart home solutions, since this significantly reduces installation costs and allows for an individual composition according to requirements. Moreover, smart home solutions should be considered to be listed as medical aids

    Needs and Attitudes of Older Chronic Back Pain Patients towards a Wearable for Ultrasound Biofeedback during Stabilization Exercises: A Qualitative Analysis

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    Chronic back pain has a high prevalence, especially in older adults, and seriously affects sufferers' quality of life. Segmental stabilization exercise (SSE) is often used during physiotherapy to enhance core stability. The execution of SSE requires the selective contraction of deep abdominal and back muscles. Motor learning can be supported using ultrasound imaging as visual biofeedback. ULTRAWEAR is a mobile ultrasound system that provides deep learning-based biofeedback on SSE execution, which is currently under development. We interviewed 15 older chronic back pain patients (CBPPs) to investigate their pain management behavior, experience with SSE, as well as their needs and requirements for ULTRAWEAR. We also gathered information about future-usage scenarios. CBPPs reported a high willingness to use the system as a feedback tool both in physiotherapeutic practices and at home. The automated detection and evaluation of muscle contraction states was highlighted as a major benefit of the system compared to the more subjective feedback provided by traditional methods such as palpation. The system to be developed was perceived as a helpful solution to support learning about SSE

    Dry skin and the use of leave-on products in nursing care: A prevalence study in nursing homes and hospitals

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    Aims: To describe the prevalence of dry skin in nursing homes and hospitals and to describe relationships between topical skincare interventions and dry skin. Design: Two multicentre descriptive cross-sectional prevalence studies. Methods: The studies were performed in German nursing homes and hospitals in 2015 and 2016. Data were collected by trained nurses based on a standardized data collection form. The severity of dry skin was measured using the Overall Dry Skin Score. Results: In total, 1,662 nursing home residents and 1,486 hospital patients participated. The prevalence of dry skin was 41.2% in nursing homes and 55.2% in hospitals. In case of skincare dependency, the proportions of participants with dry skin were higher, particularly in hospitals (70.2%). In both institutions, the application of leave-on products increased when dry skin was present but remained lower in hospitals. Considering the high amount of skin dryness in skincare-dependent participants, interventions seem not to be successful. Results indicate a need for skincare improvement in future
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