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To identify clinical observable items that can be used to identify dysphagia while observing a typical eating situation.
A three-round e-Delphi survey.
An expert panel consisting of five nurses, eight speech language therapists and five physicians participated in this three-round e-Delphi survey from November 2022 to January 2023. Round 1 presented the results of a literature research conducted in September 2022 and an open question to the participants. The answers were analysed using the content analysis method. In the following rounds, the results were presented back to the participants with a request to rate them for usefulness. Means, standard deviations, ANOVA and Fisher's exact test were used to demonstrate the panel's opinion, level of agreement, demographic characteristics of the participants as well as differences between the professional groups in regard of the rating of the items. Methods and results are reported in accordance with the ‘Guidance on Conducting and Reporting Delphi Studies’ (CREDES).
The content analysis initially generated 36 items suggested by the expert panel. Seven additional items were incorporated from the literature review. In rounds 2 and 3, a 4-point Likert scale was used to rate each item and to calculate the level of agreement. The predetermined level of agreement exceeded 70% for 23 items.
Based on the expert opinions, it is possible for nurses to identify dysphagia in patients with dementia by using the determined 23 items while observing a typical eating situation.
The expert panel contributed to the creation of this study by participating in the Delphi rounds.
The 23 items determined in this e-Delphi study enable nurses to make dietary adjustments or consult other members of the multidisciplinary team based on available evidence, enabling complications to be avoided.
What problem did the study address? This study provides evidence regarding the identification of dysphagia in patients with dementia by nurses.
What were the main findings? Twenty-three items were determined by an expert panel that can be used by nurses to identify dysphagia in patients with dementia while observing a typical eating situation.
Where and on whom will the research have an impact? This research will have an impact on patients with dementia and the nurses caring for them.
Methods and results are reported in accordance with the ‘Guidance on Conducting and Reporting Delphi Studies’ (CREDES) (Jünger et al., 2017), which promotes consistency and quality in conducting Delphi studies.
This study aimed to assess mental health nurses' empathy towards consumers with dual diagnosis in Australian mental health settings. The research question was What is mental health nurses' empathy towards consumers with co-existing mental health and drug and alcohol problems?
A cross-sectional survey was carried out to understand mental health nurses' empathy. The convenience sample included 96 mental health nurses from various mental health settings with experience working with consumers with dual diagnosis. We assessed empathy using the Toronto Empathy Questionnaire. We utilised SPSS™ software to analyse both the descriptive data and multiple-regression.
The mean empathy score was 47.71 (SD 8.28). The analysis of the association between demographic variables and individual subscales showed an association between the clinical setting and empathy (p = .031) and sympathetic physiological arousal (p = .049). The work sector was associated with sympathetic physiological arousal (p = .045) and conspecific altruism (p = .008). Emotional contagion (β = .98, p < .001), emotional comprehension (β = 1.02, p < .001), sympathetic physiological arousal (β = 1.01, p < .001) and conspecific altruism (β = 10.23, p < .001) predicted mental health nurses' empathy.
This study found that most mental health nurses showed empathy towards consumers with dual diagnosis. Mental health nurses who are more empathetic towards their consumers experience emotional contagion. They understand emotions better, show sympathetic physiological responses and exhibit kind behaviour towards consumers.
Further research is required to understand how mental health nurses adapt to consumers' emotional states in different mental health settings. This information can help clinicians make better decisions about care quality for consumers with dual diagnosis.
This study addressed mental health nurses' empathy towards consumers with dual diagnosis. Mental health nurses showed increased empathy towards consumers with dual diagnosis. The empathy levels vary based on age, clinical setting, work sector and work experience. Mental health nurses' empathy levels were predicted by emotional contagion, emotion comprehension, sympathetic physiological arousal and conspecific altruism. Empathy enhancement among mental health nurses, particularly towards consumers with dual diagnosis, is crucial and should be regarded as a top priority by healthcare leaders and educators.
Outlined by the Consensus-Based Checklist for Reporting of Survey Studies (CROSS).
No Patient or Public Contribution.
To determine the prevalence and clustering of NANDA-International nursing diagnoses in patients assisted by pre-hospital emergency teams.
Retrospective descriptive study of electronic record review.
Episodes recorded during 2019, including at least a nursing diagnosis, were recovered from the electronic health records of a Spanish public emergency agency (N = 28,847). Descriptive statistics were used to characterize the sample and determine prevalence. A two-step cluster analysis was used to group nursing diagnoses. A comparison between clusters in sociodemographic and medical problems was performed. Data were accessed in November 2020.
Risk for falls (00155) (27.3%), Anxiety (00146) (23.2%), Acute pain (00132), Fear (00148) and Ineffective breathing pattern (00032) represented 96.1% of all recorded diagnoses. A six-cluster solution (n = 26.788) was found. Five clusters had a single high-prevalence diagnosis predominance: Risk for falls (00155) in cluster 1, Anxiety (00146) in cluster 2, Fear (00148) in cluster 3, Acute pain (00132) in cluster 4 and Ineffective breathing pattern (00032) in cluster 6. Cluster 5 had several high prevalence diagnoses which co-occurred: Risk for unstable blood glucose level (00179), Ineffective coping (00069), Ineffective health management (00078), Impaired comfort (00214) and Impaired verbal communication (00051).
Five nursing diagnoses accounted for almost the entire prevalence. The identified clusters showed that pre-hospital patients present six patterns of nursing diagnoses. Five clusters were predominated by a predominant nursing diagnosis related to patient safety, coping, comfort, and activity/rest, respectively. The sixth cluster grouped several nursing diagnoses applicable to exacerbations of chronic diseases.
Knowing the prevalence and clustering of nursing diagnoses allows a better understanding of the human responses of patients attended by pre-hospital emergency teams and increases the evidence of individualized/standardized care plans in the pre-hospital clinical setting.
What problem did the study address? There are different models of pre-hospital emergency care services. The use of standardized nursing languages in the pre-hospital setting is not homogeneous. Studies on NANDA-I nursing diagnoses in the pre-hospital context are scarce, and those available are conducted on small samples.
What were the main findings? This paper reports the study with the largest sample among the few published on NANDA-I nursing diagnoses in the pre-hospital care setting. Five nursing diagnoses represented 96.1% of all recorded. These diagnoses were related to patients' safety/protection and coping/stress tolerance. Patients attended by pre-hospital care teams are grouped into six clusters based on the nursing diagnoses, and this classification is independent of the medical conditions the patient suffers.
Where and on whom will the research have an impact?
Knowing the prevalence of nursing diagnoses allows a better understanding of the human responses of patients treated in the pre-hospital setting, increasing the evidence of individualized and standardized care plans for pre-hospital care.
STROBE checklist has been used as a reporting method.
Only patients' records were reviewed without further involvement.
To explore and summarise the literature on the concept of ‘clinical deterioration’ as a nurse-sensitive indicator of quality of care in the out-of-hospital context.
The scoping review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review and the JBI best practice guidelines for scoping reviews.
Studies focusing on clinical deterioration, errors of omission, nurse sensitive indicators and the quality of nursing and midwifery care for all categories of registered, enrolled, or licensed practice nurses and midwives in the out-of-hospital context were included regardless of methodology. Text and opinion papers were also considered. Study protocols were excluded.
Data bases were searched from inception to June 2022 and included CINAHL, PsychINFO, MEDLINE, The Allied and Complementary Medicine Database, EmCare, Maternity and Infant Care Database, Australian Indigenous HealthInfoNet, Informit Health and Society Database, JSTOR, Nursing and Allied Health Database, RURAL, Cochrane Library and Joanna Briggs Institute.
Thirty-four studies were included. Workloads, education and training opportunities, access to technology, home visits, clinical assessments and use of screening tools or guidelines impacted the ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting.
Little is known about the work of nurses or midwives in out-of-hospital settings and their recognition, reaction to and relay of information about patient deterioration. The complex and subtle nature of non-acute deterioration creates challenges in defining and subsequently evaluating the role and impact of nurses in these settings.
Further research is needed to clarify outcome measures and nurse contribution to the care of the deteriorating patient in the out-of-hospital setting to reduce the rate of avoidable hospitalisation and articulate the contribution of nurses and midwives to patient care.
Factors that impact a nurse's ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting are not examined to date.
A range of factors were identified that impacted a nurse's ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting including workloads, education and training opportunities, access to technology, home visits, clinical assessments, use of screening tools or guidelines, and avoidable hospitalisation.
Where and on whom will the research have an impact?
Nurses and nursing management will benefit from understanding the factors that act as barriers and facilitators for effective recognition of, and responding to, a deteriorating patient in the out-of-hospital setting. This in turn will impact patient survival and satisfaction.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review guidelines guided this review. The PRISMA-Scr Checklist (Tricco et al., 2018) is included as (supplementary file 1).Data sharing is not applicable to this article as no new data were created or analysed in this study.”
Not required as the Scoping Review used publicly available information.
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