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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 gain a deeper understanding of what is important to nurses when thinking about shift patterns and the organisation of working time.
A cross-sectional survey of nursing staff working across the UK and Ireland collected quantitative and qualitative responses.
We recruited from two National Health Service Trusts and through an open call via trade union membership, online/print nursing profession magazines and social media. Worked versus preferred shift length/pattern, satisfaction and choice over shift patterns and nurses' views on aspects related to work and life (when working short, long, rotating shifts) were analysed with comparisons of proportions of agreement and crosstabulation. Qualitative responses on important factors related to shift preferences were analysed with inductive thematic analysis.
Eight hundred and seventy-three survey responses were collected. When nurses worked long shifts and rotating shifts, lower proportions reported being satisfied with their shifts and working their preferred shift length and pattern. Limited advantages were realised when comparing different shift types; however, respondents more frequently associated ‘low travel costs’ and ‘better ability to do paid overtime’ with long shifts and ‘healthy diet/exercise’ with short shifts; aspects related to rotating shifts often had the lowest proportions of agreement. In the qualitative analysis, three themes were developed: ‘When I want to work’, ‘Impacts to my life outside work’ and ‘Improving my work environment’. Reasons for nurses' shift preferences were frequently related to nurses' priorities outside of work, highlighting the importance of organising schedules that support a good work-life balance.
General scheduling practices like adhering to existing shift work guidelines, using consistent and predictable shift patterns and facilitating flexibility over working time were identified by nurses as enablers for their preferences and priorities. These practices warrant meaningful consideration when establishing safe and efficient nurse rosters.
This survey was developed and tested with a diverse group of stakeholders, including nursing staff, patients, union leads and ward managers.
The Strengthening the Reporting of Observational Studies (STROBE) checklist for cross-sectional studies was used to guide reporting.
Medication self-management (MSM) is defined as a person's ability to cope with medication treatment for a chronic condition, along with the associated physical and psychosocial effects that the medication causes in their daily lives. For many patients, it is important to be able to self-manage their medication successfully, as they will often be expected to do after discharge.
The aim of this study was to describe the willingness and attitudes of patients with schizophrenia spectrum or bipolar disorders regarding MSM during hospital admission. A secondary aim was to identify various factors associated with patient willingness to participate in MSM and to describe their assumptions concerning needs and necessary conditions, as well as their attitudes towards their medication.
A multicentre, quantitative cross-sectional observational design was used to study the willingness and attitudes of psychiatric patients regarding MSM during hospitalisation. The study adhered to guidelines for Strengthening the Reporting of Observational Studies in Epidemiology (STROBE).
In this study, 84 patients, of which 43 were patients with schizophrenia spectrum disorders and 41 were patients with bipolar disorders, participated. A majority of the patients (81%) were willing to participate in MSM during their hospitalisation. Analysis revealed patients are more willing to MSM if they are younger (r = −.417, p < .001) and a decreasing number of medicines (r = −.373, p = .003). Patients' willingness was positively associated with the extent of support by significant others during and after hospitalisation (Pearson's r = .298, p = .011). Patients were convinced that they would take their medication more correctly if MSM were to be allowed during hospitalisation (65%).
Most of the patients were willing to self-manage their medication during hospitalisation, however, under specific conditions such as being motivated to take their medication correctly and to understand the benefits of their medication.
From a policy point of view, our study provided useful insights into how patients look at MSM to enable the development of future strategies. Since patients are willing to self-manage their medication during hospitalisation, this may facilitate its implementation.
Patients were recruited for this study. Participation was voluntary, and signed informed consent was obtained from all participants prior to the questionnaire.
To describe the health literacy (HL) levels of hospitalised patients and their relationship with nursing diagnoses (NDs), nursing interventions and nursing measures for clinical risks.
Retrospective study.
The study was conducted from December 2020 to December 2021 in an Italian university hospital. From 146 wards, 1067 electronic nursing records were randomly selected. The Single-Item Literacy Screener was used to measure HL. Measures for clinical risks were systematically assessed by nurses using Conley Index score, the Blaylock Risk Assessment Screening Score, Braden score, and the Barthel Index. A univariable linear regression model was used to assess the associations of HL with NDs.
Patients with low HL reported a higher number of NDs, interventions and higher clinical risks. HL can be considered a predictor of complexity of care.
The inclusion of standardised terms in nursing records can describe the complexity of care and facilitate the predictive ability on hospital outcomes.
HL evaluation during the first 24 h. From hospital admission could help to intercept patients at risk of higher complexity of care. These results can guide the development of interventions to minimise needs after discharge.
No patient or public contribution was required to design or undertake this research. Patients contributed only to the data collection.
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