scholarly journals Nursing care mapping for patients at risk of falls in the Nursing Interventions Classification

2014 ◽  
Vol 48 (4) ◽  
pp. 632-640 ◽  
Author(s):  
Melissa de Freitas Luzia ◽  
Miriam de Abreu Almeida ◽  
Amália de Fátima Lucena

Objective: Identifying the prescribed nursing care for hospitalized patients at risk of falls and comparing them with the interventions of the Nursing Interventions Classifications (NIC). Method: A cross-sectional study carried out in a university hospital in southern Brazil. It was a retrospective data collection in the nursing records system. The sample consisted of 174 adult patients admitted to medical and surgical units with the Nursing Diagnosis of Risk for falls. The prescribed care were compared with the NIC interventions by the cross-mapping method. Results: The most prevalent care were the following: keeping the bed rails, guiding patients/family regarding the risks and prevention of falls, keeping the bell within reach of patients, and maintaining patients’ belongings nearby, mapped in the interventions Environmental Management: safety and Fall Prevention. Conclusion: The treatment prescribed in clinical practice was corroborated by the NIC reference.


2010 ◽  
Vol 18 (5) ◽  
pp. 873-880 ◽  
Author(s):  
Amália de Fátima Lucena ◽  
Maria Gaby Rivero de Gutiérrez ◽  
Isabel Cristina Echer ◽  
Alba Lucia Bottura Leite de Barros

This cross-sectional study was carried out at a university hospital to describe the nursing interventions most frequently performed in the clinical practice of an intensive care unit, based on nursing care prescriptions, and to investigate their similarity to the Nursing Interventions Classification (NIC). The sample consisted of 991 hospitalizations of patients. Data were retrospectively collected from the computer database and analyzed through descriptive statistics and cross-mapping. A total of 57 different NIC interventions frequently used in the unit were identified; most of them in the complex (42%) and basic physiological (37%) domains, in the classes ‘respiratory management’ and ‘self-care facilitation’. Similarity between the nursing care prescribed and nursing interventions/NIC was found in 97.2% of the cases. The conclusion is that the interventions/NIC used in the clinical practice of this intensive care unit reflects the level of complexity of nursing care, which is mainly directed at the regulation of the body’s physical and homeostatic functioning.


2021 ◽  
Vol 10 (11) ◽  
pp. 2344
Author(s):  
Franca Genest ◽  
Dominik Rak ◽  
Elisa Bätz ◽  
Kerstin Ott ◽  
Lothar Seefried

Sarcopenia and malnutrition are important determinants of increased fracture risk in osteoporosis. SARC-F and MNA-SF are well-established questionnaires for identifying patients at risk for these conditions. We sought to evaluate the feasibility and potential added benefit of such assessments as well as the actual prevalence of these conditions in osteoporosis patients. We conducted a cross-sectional, single-center study in female osteoporosis patients ≥ 65 years (SaNSiBaR-study). Results of the sarcopenia (SARC-F) and malnutrition (MNA-SF) screening questionnaires were matched with a functional assessment for sarcopenia and data from patients’ medical records. Out of 107 patients included in the analysis, a risk for sarcopenia (SARC-F ≥ 4 points) and a risk for malnutrition (MNA-SF ≤ 11 points) was found in 33 (30.8%) and 38 (35.5%) patients, respectively. Diagnostic overlap with coincident indicative findings in both questionnaires was observed in 17 patients (16%). As compared to the respective not-at-risk groups, the mean short physical performance battery (SPPB) score was significantly reduced in both patients at risk for sarcopenia (7.0 vs. 10.9 points, p < 0.001) and patients at risk for malnutrition (8.7 vs. 10.5 points, p = 0.005). Still, confirmed sarcopenia according to EWGSOP2 criteria was present in only 6 (6%) of all 107 patients, with only 3 of them having an indicative SARC-F score. Bone mineral density was not significantly different in any of the at-risk groups at any site. In summary, applying SARC-F and MNA-SF in osteoporosis patients appears to be a complementary approach to identify individuals with functional deficits.


2011 ◽  
Vol 19 (3) ◽  
pp. 540-547 ◽  
Author(s):  
Quenia Camille Soares Martins ◽  
Graziella Badin Aliti ◽  
Joelza Chisté Linhares ◽  
Eneida Rejane Rabelo

This cross-sectional study aimed to clinically validate the defining characteristics of the Nursing Diagnosis Excess Fluid Volume in patients with decompensated heart failure. The validation model used follows the model of Fehring. The subjects were 32 patients at a university hospital in Rio Grande do Sul. The average age was 60.5 ± 14.3 years old. The defining characteristics with higher reliability index (R): R ≥ 0.80 were: dyspnea, orthopnea, edema, positive hepatojugular reflex, paroxysmal nocturnal dyspnea, pulmonary congestion and elevated central venous pressure, and minor or secondary, R> 0.50 to 0.79: weight gain, hepatomegaly, jugular vein distention, crackles, oliguria, decreased hematocrit and hemoglobin. This study indicates that the defining characteristics with R> 0.50 and 1 were validated for the diagnosis Excess Fluid Volume.


2017 ◽  
Vol 6 ◽  
Author(s):  
L. U. Kaduka ◽  
Z. N. Bukania ◽  
Y. Opanga ◽  
R. Mutisya ◽  
A. Korir ◽  
...  

AbstractCancer is the third leading cause of death in Kenya. However, there is scarce information on the nutritional status of cancer patients to guide in decision making. The present study sought to assess the risk of malnutrition, and factors associated with malnutrition and cachexia, among cancer out-patients, with the aim of informing nutrition programmes for cancer management in Kenya and beyond. This was a facility-based cross-sectional study performed at Kenyatta National Hospital and Texas Cancer Centre in Nairobi, Kenya. The risk of malnutrition was assessed using the Malnutrition Universal Screening Tool (MUST). Diagnoses of malnutrition and cachexia were done using the European Society of Clinical Nutrition and Metabolism (ESPEN) and Fearon criteria, respectively. A total of 512 participants were assessed. Those at risk of malnutrition were 33·1 % (12·5 % at medium risk, 20·6 % at high risk). Prevalence of malnutrition was 13·4 %. The overall weight loss >5 % over 3 months was 18·2 % and low fat-free mass index was 43·1 %. Prevalence of cachexia was 14·1 % compared with 8·5 % obtained using the local criteria. Only 18·6 % participants had received any form of nutrition services. Age was a predictor of malnutrition and cachexia in addition to site of cancer for malnutrition and cigarette smoking for cachexia. The use of the MUST as a screening tool at the first point of care should be explored. The predictive value of current nutrition assessment tools, and the local diagnostic criteria for malnutrition and cachexia should be reassessed to inform the development of appropriate clinical guidelines and future capacity-building initiatives that will ensure the correct identification of patients at risk for timely care.


2018 ◽  
Vol 71 (2) ◽  
pp. 314-321 ◽  
Author(s):  
Sandra Cristina de Alvarenga ◽  
Denise Silveira de Castro ◽  
Franciéle Marabotti Costa Leite ◽  
Telma Ribeiro Garcia ◽  
Marcos Antônio Gomes Brandão ◽  
...  

ABSTRACT Objective: To investigate the Nursing diagnostic accuracy measures and to propose a model to use defining characteristics in order to judge the nursing diagnosis of ineffective breastfeeding. Method: Cross-sectional study with a sample of 73 binomials mom-child hospitalized in a maternity ward of an University Hospital, from July to August of 2014. Results: The diagnostic predominance rate was 58.9%. The characteristics that best meet the needs of logistic regression model were: discontinuance of breast sucking; infant's inability of seizing the areola-nipple region correctly; infant's crying one hour after breastfeeding and inappropriate milk supply perceived. Conclusion: Breastfeeding process is dynamic; diagnostic judgement may suffer some changes according to the time data are collected; the defining characteristics are the best predictors if associated with models and rules of use.


2021 ◽  
pp. 105477382110515
Author(s):  
Hale Tosun ◽  
Ayşe Tosun ◽  
Birgül Ödül Özkaya ◽  
Asiye Gül

The study was planned to determine the most common nursing diagnoses according to NANDA International (NANDA-I) taxonomy and difficulties experienced in using of nursing process in COVID-19 outbreak. The sample of the descriptive cross-sectional study consisted of nurses cared for patients with COVID-19 ( n = 114). Average age of nurses is 26.86 ± 6.68. Commonly determined nursing diagnoses according to NANDA-I taxonomy in patients with COVID-19 were imbalanced nutrition (66.7%), impaired gas exchange (40.4%), insomnia (21.1%), acute confusion (31.6%), hopelessness (96.5%), difficulty playing caregiver (84.2%), anxiety (38.6%) willingness to strengthen religious bond (71.9%), risk for infection (64.9%), nausea (49.1%). Twenty-four-years old and younger, high school graduates, caring for intubated patients, and those who stated that they did not use nursing diagnosis had more difficulty in using nursing process (<0.05). The use of nursing diagnoses and process for patients with COVID-19 is extremely important in ensuring individual and qualified nursing care.


2015 ◽  
Vol 22 (4) ◽  
pp. 229-235 ◽  
Author(s):  
Carli Michèle Wilmer ◽  
Victor Johan Bernard Huiskes ◽  
Stephanie Natsch ◽  
Alexander Johannes Maria Rennings ◽  
Bartholomeus Johannnes Frederikus van den Bemt ◽  
...  

QJM ◽  
2014 ◽  
Vol 108 (1) ◽  
pp. 27-31 ◽  
Author(s):  
T. Ó Flatharta ◽  
A. Khan ◽  
T. Walsh ◽  
M. O’Donnell ◽  
S.T. O’Keefe

2021 ◽  
Vol 33 (3) ◽  
Author(s):  
Andrew Davy ◽  
Thomas Hill ◽  
Sarahjane Jones ◽  
Alisen Dube ◽  
Simon c Lea ◽  
...  

Abstract Background Delays to the transfer of care from hospital to other settings represent a significant human and financial cost. This delay occurs when a patient is clinically ready to leave the inpatient setting but is unable to because other necessary care, support or accommodation is unavailable. The aim of this study was to interrogate administrative and clinical data routinely collected when a patient is admitted to hospital following attendance at the emergency department (ED), to identify factors related to delayed transfer of care (DTOC) when the patient is discharged. We then used these factors to develop a predictive model for identifying patients at risk for delayed discharge of care. Objective To identify risk factors related to the delayed transfer of care and develop a prediction model using routinely collected data. Methods This is a single centre, retrospective, cross-sectional study of patients admitted to an English National Health Service university hospital following attendance at the ED between January 2018 and December 2020. Clinical information (e.g. national early warning score (NEWS)), as well as administrative data that had significant associations with admissions that resulted in delayed transfers of care, were used to develop a predictive model using a mixed-effects logistic model. Detailed model diagnostics and statistical significance, including receiver operating characteristic analysis, were performed. Results Three-year (2018–20) data were used; a total of 92 444 admissions (70%) were used for model development and 39 877 (30%) admissions for model validation. Age, gender, ethnicity, NEWS, Glasgow admission prediction score, Index of Multiple Deprivation decile, arrival by ambulance and admission within the last year were found to have a statistically significant association with delayed transfers of care. The proposed eight-variable predictive model showed good discrimination with 79% sensitivity (95% confidence intervals (CIs): 79%, 81%), 69% specificity (95% CI: 68%, 69%) and 70% (95% CIs: 69%, 70%) overall accuracy of identifying patients who experienced a DTOC. Conclusion Several demographic, socio-economic and clinical factors were found to be significantly associated with whether a patient experiences a DTOC or not following an admission via the ED. An eight-variable model has been proposed, which is capable of identifying patients who experience delayed transfers of care with 70% accuracy. The eight-variable predictive tool calculates the probability of a patient experiencing a delayed transfer accurately at the time of admission.


2018 ◽  
Vol 12 (3) ◽  
pp. 812
Author(s):  
Renata Maia de Medeiros Falcão ◽  
Josilene De Melo Buriti Vasconcelos ◽  
Jacira Dos Santos Oliveira

RESUMOObjetivo: avaliar o risco de quedas dos pacientes idosos hospitalizados em um hospital público de ensino. Método: estudo quantitativo, descritivo, de corte transversal, que será desenvolvido com idosos hospitalizados nas unidades de internação Clínica, Cirúrgica e de Doenças Infectoparasitárias de um hospital público de ensino. Para a coleta de dados, serão utilizados um roteiro estruturado, para a obtenção das informações pessoais, sociais e o estado de saúde dos idosos hospitalizados, o Mini Exame do Estado Mental, para avaliar a função cognitiva, e a Morse Fall Scale, traduzida e adaptada de forma transcultural para a língua portuguesa, para a avaliação do risco de quedas. Os dados serão analisados apresentando as frequências absolutas e percentuais, razão de prevalência e seu respectivo intervalo de confiança para os fatores de estudo que possam influenciar no risco de quedas. O projeto de pesquisa foi aprovado pelo Comitê de Ética e Pesquisa da instituição sob o CAAE n.º 62128816.0.0000.5183. Resultados esperados: espera-se que os resultados venham auxiliar a equipe de Enfermagem a identificar os pacientes idosos com risco de quedas, priorizando aqueles com classificação de alto risco, pela aplicação da escala de Morse. Descritores: Enfermagem; Idosos; Acidentes por Quedas; Fatores de Risco; Hospitalização; Pacientes Internados. ABSTRACT Objective: to evaluate the risk of falls in hospitalized elderly patients in a public teaching hospital. Method: a quantitative, descriptive, cross - sectional study that will be developed with elderly patients hospitalized at the Clinical, Surgical and Infectious Diseases Hospitals of a Public Teaching Hospital. For the collection of data, a structured script will be used to obtain personal and social information and the health status of hospitalized elderly people, the Mini Mental State Examination, to evaluate cognitive function, and the Morse Fall Scale, translated and adapted in a cross-cultural to the Portuguese language, for the evaluation of the risk of falls. Data will be analyzed presenting absolute and percentage frequencies, prevalence ratio and their respective confidence interval for study factors that may influence the risk of falls. The research project was approved by the Ethics and Research Committee of the institution under CAAE No. 62128816.0.0000.5183. Expected results: it is expected that the results will help the Nursing team to identify elderly patients at risk of falls, prioritizing those with high risk classification, by applying the Morse scale. Descritores: Nursing; Elderly; Accidental Falls; Risk Factors; Hospitalization; Inpatients.                                                                                                             RESUMEN Objetivo: evaluar el riesgo de caídas de los pacientes ancianos hospitalizados en un hospital público de enseñanza. Método: el estudio cuantitativo, descriptivo, de corte transversal, que será desarrollado con ancianos hospitalizados en las unidades de internación Clínica, Quirúrgica y de Enfermedades Infectoparasitarias, de un hospital público de enseñanza. Para la recolección de datos, se utilizarán un guión estructurado para la obtención de las informaciones personales, sociales y el estado de salud de los ancianos hospitalizados, el Mine Examen del Estado Mental para evaluar la función cognitiva y la Morse Fall Scale, traducida y adaptada de forma transcultural al portugués, para evaluar el riesgo de caídas. Los datos serán analizados presentando las frecuencias absolutas y porcentuales, razón de prevalencia y su respectivo intervalo de confianza para los factores de estudio que puedan influenciar en el riesgo de caídas. El proyecto de investigación fue aprobado por el Comité de Ética e Investigación de la institución, bajo el CAAE: n. 62128816.0.0000.5183. Resultados esperados: se espera que los resultados vengan a auxiliar al equipo de Enfermería en la identificación de los pacientes ancianos con riesgo de caídas, priorizando aquellos con clasificación de alto riesgo, por la aplicación de la escala de Morse. Descritores: Enfermería; Anciano; Accidentes por Caídas; Factores de Riesgo; Hospitalización; Pacientes Internos.


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