Effekte von<i>Guided Clinical Reasoning</i>auf die Qualität des Advanced Nursing Process

Leoni‐Scheiber, Claudia; Mayer, Hanna; Müller‐Staub, Maria

doi:10.1024/1012-5302/a000792

Cited by 4 publications

(13 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Older patients' nutritional care needs can be met when nurses are empowered to pass on the information and professionally argue for their well-being toward relatives and patients themselves. This finding is confirmed by an investigation of the Advanced Nursing Process and "Guided Clinical Reasoning" (Leoni-Scheiber et al, 2021). According to "Guided Clinical Reasoning," the quality and coherence of the nursing assessments, diagnoses, and effective nursing interventions have improved after workshops with case evaluations (Leoni-Scheiber et al, 2021).…”

Section: Discussionmentioning

confidence: 88%

“…This finding is confirmed by an investigation of the Advanced Nursing Process and "Guided Clinical Reasoning" (Leoni-Scheiber et al, 2021). According to "Guided Clinical Reasoning," the quality and coherence of the nursing assessments, diagnoses, and effective nursing interventions have improved after workshops with case evaluations (Leoni-Scheiber et al, 2021).…”

Section: Discussionmentioning

confidence: 88%

“…Several investigations showed that nurse‐sensitive outcomes had improved if nurses were educated and empowered to assess, judge, and systematically document patients’ reactions in clinical information systems (Leoni‐Scheiber et al., 2021). Therefore, the need to assess and address older patients’ attitudes toward life could be responded to by implementing the Advanced Nursing Process focusing on food intake‐ and appetite‐related, standardized nursing diagnoses.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Nutrition‐related care needs of older patients in hospital: A qualitative multimethod study

Brunner

Mayer

Blum

et al. 2022

Int J of Nursing Knowl

Self Cite

View full text Add to dashboard Cite

Purpose: To investigate the nutrition-related care needs of older patients in hospitals.Methods: A qualitative multimethod study was performed. By purposive sampling, older patients were included for observations of the nutrition process and interviews from a perioperative unit, an internal Medicine unit, and one acute geriatric care ward of an acute care hospital. Preliminary findings were discussed, validated, and further explored in two focus group discussions with interprofessional nutritional healthcare experts.Findings: Seventeen women and five men with a mean age of 86 years participated in patient observations and interviews. Eight experts with at least 10 years of professional experience who were employed in this setting for 3 years or more participated in interviews. Three themes of nutrition-related care needs were elaborated: The need to assess and address older patients' attitudes toward life, the need for nutrition-related education, and the need for food intake support. These care needs added to the development and validation of a new nursing diagnosis "risk for inadequate protein energy nutrition" and in consequence to develop a complex nursing intervention to optimize the nutrition of older patients. Conclusions:It is crucial to assess and understand the patients' attitudes toward life, which affect purposes of treatment, diet, and menu choices.Implications for nursing practice: Implementation of assessing nutrition-related care needs of older inpatients is needed. Addressing these care needs within the Advanced Nursing Process can lead to appropriate nursing diagnoses, nursing outcomes, and interventions, which enhance person-centered care, patients' self-care abilities, and consequently patients' nutritional status.

show abstract

Section: Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Nutrition‐related care needs of older patients in hospital: A qualitative multimethod study

Brunner

Mayer

Blum

et al. 2022

Int J of Nursing Knowl

Self Cite

View full text Add to dashboard Cite

show abstract

“…Generally, nurses must undergo several months of guided clinical reasoning training programs to enhance their nursing competency in performing critical thinking and reflection and in accurately processing information to formulate individualized care plans [ 78 – 81 ]. Computer-based nursing information systems can help nurses make timely decisions and provide accurate, effective, and individualized care to patients [ 4 , 82 , 83 ].…”

Section: Discussionmentioning

confidence: 99%

Comparison of nursing diagnostic accuracy when aided by Knowledge-Based Clinical Decision Support Systems with Clinical Diagnostic Validity and Bayesian Decision Models for psychiatric care plan formulation among nursing students: a quasi-experimental study

Chou

Chung

2023

BMC Nurs

View full text Add to dashboard Cite

Background The most suitable and reliable inference engines for Clinical Decision Support Systems in nursing clinical practice have rarely been explored. Purpose This study examined the effect of Clinical Diagnostic Validity-based and Bayesian Decision-based Knowledge-Based Clinical Decision Support Systems on the diagnostic accuracy of nursing students during psychiatric or mental health nursing practicums. Methods A single-blinded, non-equivalent control group pretest–posttest design was adopted. The participants were 607 nursing students. In the quasi-experimental design, two intervention groups used either a Knowledge-Based Clinical Decision Support System with the Clinical Diagnostic Validity or a Knowledge-Based Clinical Decision Support System with the Bayesian Decision inference engine to complete their practicum tasks. Additionally, a control group used the psychiatric care planning system without guidance indicators to support their decision-making. SPSS, version 20.0 (IBM, Armonk, NY, USA) was used for data analysis. chi-square (χ2) test and one-way analysis of variance (ANOVA) used for categorical and continuous variables, respectively. Analysis of covariance was done to examine the PPV and sensitivity in the three groups. Results Results for the positive predictive value and sensitivity variables indicated that decision-making competency was highest in the Clinical Diagnostic Validity group, followed by the Bayesian and control groups. The Clinical Diagnostic Validity and Bayesian Decision groups significantly outperformed the control group in terms of scores on a 3Q model questionnaire and the modified Technology Acceptance Model 3. In terms of perceived usefulness and behavioral intention, the Clinical Diagnostic Validity group had significantly higher 3Q model and modified Technology Acceptance Model 3 scores than the Bayesian Decision group, which had significantly higher scores than the control group. Conclusion Knowledge-Based Clinical Decision Support Systems can be adopted to provide patient-oriented information and assist nursing student in the rapid management of patient information and formulation of patient-centered care plans.

show abstract

“…The license renewal period can serve as the opportunity to update the knowledge of nurses about this. According to literature, it has been justified that, to improve the quality of nurse's documentation, education and continuous monitoring and evaluation are the keys to help nurses retain knowledge and skill (Jefferies et al., 2012; Kamil et al., 2018; Leoni‐Scheiber et al., 2021). However, not every nurse is interested in SNCP utilization.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

Challenges to sustainability of standardized nursing care plan in selected tertiary health institutions in Nigeria

Ojo

Olaogun

2022

Int J of Nursing Knowl

View full text Add to dashboard Cite

Purpose:The purpose of this study was to assess the challenges to sustainability of standardized nursing care plan in selected tertiary health institutions in Nigeria. Methods:Using convergent mixed method design, the qualitative and quantitative data were collected from 427 nurses and nine stakeholders. This was done in one phase with the use of validated questionnaires and in-depth interview guide/key informant interview guide. Data were collected for 5 months and analyzed with SPSS version 25. Qualitative data were analyzed using themes. Results:The explored significant challenges by stakeholders and nurses to sustainability of standardized nursing care plan (SNCP) in all the selected hospitals were inadequate knowledge of standardized nursing languages (SNLs), inadequate staffing, lack of motivation, lack of mandate to use SNLs by the educational system, lack of computers on the wards, weakness of previous training on SNL/SNCP, lack of interest, and high patient load. Conclusion:The study concludes that inadequate knowledge of SNLs and inadequate staff could contribute to non sustainability of SNCP. Implications for nursing practice:Nurses should be continuously trained on standardized nursing languages. Staff motivation and increasing the number of staff on the wards would increase the interest of the nursing staff. This will in turn improve the quality of documentation and patient care.

show abstract

Effekte vonGuided Clinical Reasoningauf die Qualität des Advanced Nursing Process

Cited by 4 publications

References 17 publications

Nutrition‐related care needs of older patients in hospital: A qualitative multimethod study

Nutrition‐related care needs of older patients in hospital: A qualitative multimethod study

Comparison of nursing diagnostic accuracy when aided by Knowledge-Based Clinical Decision Support Systems with Clinical Diagnostic Validity and Bayesian Decision Models for psychiatric care plan formulation among nursing students: a quasi-experimental study

Challenges to sustainability of standardized nursing care plan in selected tertiary health institutions in Nigeria

Contact Info

Product

Resources

About