Present and future of pre-hospital emergency medical system

Prevalence and clustering of NANDA-I nursing diagnoses in the pre-hospital emergency care setting: A retrospective records review study

AIM

To determine the prevalence and clustering of NANDA-International nursing diagnoses in patients assisted by pre-hospital emergency teams.

DESIGN

Retrospective descriptive study of electronic record review.

METHODS

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.

RESULTS

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).

CONCLUSION

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.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

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.

IMPACT

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.

REPORTING METHOD

STROBE checklist has been used as a reporting method.

NO PATIENT OR PUBLIC CONTRIBUTION

Only patients' records were reviewed without further involvement.

NANDA International nursing diagnoses in the coping/stress tolerance domain and their linkages to Nursing Outcomes Classification outcomes and Nursing Interventions Classification interventions in the pre-hospital emergency care

Aim

To determine the prevalence of NANDA International nursing diagnoses in the coping/stress tolerance domain and their linkages to Nursing Outcomes Classification outcomes and Nursing Interventions Classification interventions in the pre‐hospital emergency care setting.

Design

Retrospective descriptive study of electronic record review.

Methods

Eight thousand three hundred three episodes recorded during the year 2019 were recovered from the electronic health records of a public emergency care agency. The prevalence of NANDA International nursing diagnosis, Nursing Outcomes Classification outcomes and Nursing Interventions Classification interventions was determined. A cross‐tabulation analysis was performed to determine the linkages. Data were accessed in November 2020.

Results

NANDA International nursing diagnoses Anxiety (00146) and Fear (00148) represented more than 90% of the diagnoses recorded in the domain. Anxiety level (1211) and emotional support (5270) were the most recorded Nursing Outcomes Classification outcomes and Nursing Interventions Classification interventions, with almost 20% and 5% of total records, respectively. The linkage between nursing diagnosis Anxiety (00146), outcome Anxiety level (1211) and intervention Anxiety reduction (5820) was the most recorded with slightly more than 3% of the total.

Conclusion

Eight different NANDA International nursing diagnoses in the coping/stress tolerance domain were recorded. Nursing Outcomes Classification outcomes were selected aimed mainly at psychological well‐being and Nursing Interventions Classification interventions to support coping. In general, linkages were aimed to provide emotional support, physical well‐being, information, education and safety.

Impact

This study showed that pre‐hospital emergency care nurses diagnose and treat human responses in the coping/stress tolerance domain. Expert consensus‐based linkages may be complemented by the results of this study, increasing the levels of evidence of both individualized and standardized care plans for critical patients assisted by pre‐hospital emergency care nurses.

Emergency and rapid response systems: a bibliometric analysis

Background

The emergency rapid response system (RRS) can reduce the mortality of hospitalized patients, and its core is the activation criteria and the rapid response team (RRT). This study adopted a bibliometric method to analyze the research status of RRSs for hospitalized patients.

Methods

The Science Citation Index Expanded (SCI-E) database was searched using the keywords "emergency" and "rapid response system", and the search results were analyzed using CiteSpace software. The retrieved data included the annual distribution of studies and literature citations; the source country of the literature; the distribution of institutions and authors of the literature; the cooperation between countries, institutions, and authors; the distribution of journals that published the literature, and the use of keywords in the literature.

Results

A total of 1,320 research papers were found, with a total of 29,920 citations. The number of papers and their citations increased yearly. The top 5 countries in terms of number of publications were the United States, Australia, China, the United Kingdom, and Canada. The top 5 countries in terms of centrality were the United States, the United Kingdom, Argentina, the Czech Republic, and Switzerland. The research institutions were mainly located in developed countries, such as the United States and Australia. There was relatively little collaboration between researchers. The journals that published the literature mainly specialized in critical care medicine and emergency medicine. The keyword analysis revealed that most studies focused on medical emergency teams (METs) and mortality.

Conclusions

There were few studies related to the emergency RRS for hospitalized patients. The majority of studies were from developed countries and mainly focused on the impact of team building and the effect of the RRS on mortality.

Emergency Medical Services response levels and subsequent emergency contacts among patients with a history of mental illness in Denmark: a nationwide study

BACKGROUND AND IMPORTANCE

People with mental illness have higher use of emergency services than the general population and may experience problems with navigating in complex healthcare systems. Poor physical health contributes to the excess mortality among the mentally ill.

OBJECTIVE

To compare the level of Emergency Medical Services (EMS) response and subsequent contacts emergency between patients with and without a history of mental illness.

DESIGN, SETTING, AND PARTICIPANTS

A nationwide cohort study was conducted in Denmark including medical 1-1-2 calls 2016 2017. The healthcare system is financed through taxation allowing free access to healthcare services including ambulance services.

EXPOSURE

Exposed groups had a history of major, moderate, or minor mental illness.

OUTCOME MEASURES AND ANALYSIS

We studied seven national prehospital care Performance Indicators (PI 1-7). The selected PI concerned EMS response levels and subsequent contacts to prehospital and in-hospital services. Exposed groups were compared to nonexposed groups using regression analyses.

RESULTS

We included 492 388 medical 1-1-2 calls: 8, 10, and 18% of calls concerned patients with a history of major, moderate, or minor mental illness, respectively.There were no clinically relevant differences regarding response times (PI 1-2) or registration of symptoms (PI 3) between groups.If only telephone advice was offered, patients with a history of major, moderate or minor mental illness were more likely to recall within 24 h (PI 4): adjusted risk ratio (RR) 2.11 (1.88-2.40), 1.96 (1.20-2.21), and 1.38 (1.20-1.60), but less or equally likely to have an unplanned hospital contact within 7 days (PI 6): adjusted RRs 1.05 (0.99-1.12), 1.04 (0.99-1.10), and 0.90 (0.85-0.94), respectively.If released at the scene, the risk of recalling (PI 5) or having an unplanned hospital contact (PI 7) was higher among patients with a history of mental illness: adjusted RRs 2.86 (2.44-3.36), 2.41 (2.05-2.83), and 1.57 (1.35-1.84), and adjusted RRs 2.10 (1.94-2.28), 1.68 (1.55-1.81), and 1.25 (1.17-1.33), respectively.Patients with a history of mental illness were more likely to receive telephone advice only adjusted RRs 1.61 (1.53-1.70), 1.30 (1.24-1.37), and 1.08 (1.04-1.13), and being released at scene adjusted RRs 1.11 (1.08-1.13), 1.03 (1.01-1.04), and 1.05 (1.03-1.07).

CONCLUSION

More than one-third of the study population had a history of mental illness. These patients received a significantly lighter EMS response than patients with no history of mental illness. They were significantly more likely to use the emergency care system again if released at scene. This risk increased with the increasing severity of the mental illness.