RESUMEN
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.
RESUMEN
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.
