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1.
Public Health Nurs ; 40(3): 339-352, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-36683284

RESUMEN

OBJECTIVES: Generate national estimates of the public health nursing workforce's (1) demographic and work characteristics and (2) continuing education learning needs in the United States. DESIGN: Secondary data analysis of the 2018 National Sample Survey of Registered Nurses. SAMPLE: Total 7352 of the 50,273 survey respondents were categorized as public health nurses (PHNs), representing an estimated 467,271 national workforce. MEASUREMENTS: Survey items for demographics, practice setting, training topics, and language(s) spoken fluently were analyzed. RESULTS: Workforce demographic characteristics are included. Mental health training was the most frequently endorsed topic by PHNs, followed by patient-centered care and evidence-based care. Training topic needs vary by practice setting. CONCLUSIONS: Results here can be used as a needs assessment for national public health nursing professional development and education initiatives. Further research is needed to refine and survey a nationally representative sample in a manner meaningful to public health nursing practice.


Asunto(s)
Enfermeras de Salud Pública , Enfermería en Salud Pública , Humanos , Estados Unidos , Enfermería en Salud Pública/educación , Encuestas y Cuestionarios , Escolaridad , Recursos Humanos
2.
J Emerg Nurs ; 48(1): 45-56, 2022 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-34656361

RESUMEN

INTRODUCTION: The goal of this research was to quantify the baseline status of prepandemic workplace emergency nursing telehealth as a key consideration for ongoing telehealth growth and sustainable emergency nursing care model planning. The purpose of this research was to: (1) generate national estimates of prepandemic workplace telehealth use among emergency and other inpatient hospital nurses and (2) map the geographic distribution of prepandemic workplace emergency nurse telehealth use by state of nurse residence. METHODS: We generated national estimates using data from the 2018 National Sample Survey of Registered Nurses. Data were analyzed using jack-knife estimation procedures coherent with the complex sampling design selected as representative of the population and requiring analysis with survey weights. RESULTS: Weighted estimates of the 161 865 emergency nurses, compared with 1 191 287 other inpatient nurses revealed more reported telehealth in the workplace setting (49% vs 34%) and individual clinical practice telehealth use (36% vs 15%) among emergency nurses. The geographic distribution of individual clinical practice emergency nurse telehealth use indicates greatest adoption per 10 000 state residents in Maine, Alaska, and Missouri with more states in the Midwest demonstrating emergency nurse adoption of telehealth into clinical practice per population than other regions in the United States. DISCUSSION: By quantifying prepandemic national telehealth use, the results provide corroborating evidence to the potential long-term adoptability and sustainability of telenursing in the emergency nursing specialty. The results also implicate the need to proactively define emergency nursing telehealth care model standards of practice, nurse competencies, and reimbursement.


Asunto(s)
Enfermeras y Enfermeros , Telemedicina , Teleenfermería , Competencia Clínica , Humanos , Estados Unidos , Lugar de Trabajo
3.
Ann Emerg Med ; 78(2): 201-211, 2021 08.
Artículo en Inglés | MEDLINE | ID: mdl-34127308

RESUMEN

STUDY OBJECTIVE: In a large-scale disaster, recruiting from all retired and nonworking registered nurses is one strategy to address surge demands in the emergency nursing workforce. The purpose of this research was to estimate the workforce capacity of all registered nurses who are not currently working in the nursing field in the United States by state of residence and to describe the job mobility of emergency nurses. METHODS: Weighted population estimates were calculated using the 2018 National Sample Survey of Registered Nurses. Estimates of all registered nurses, including nurse practitioners who were not actively working in nursing as well as only those who were retired, based on demographics, place of residence, and per 1,000 state population, were visualized on choropleth maps. Workforce mobility into and out of the emergency nursing specialty between 2016 and 2017 was quantified. RESULTS: Of the survey participants, 61% (weighted n=2,413,382) worked full time as registered nurses at the end of both 2016 and 2017. At the end of 2017, 17.3% (weighted n=684,675) were not working in nursing. The Great Lakes states and Maine demonstrated the highest per capita rate of those not working in nursing, including those who had retired. The largest proportion of those entering the emergency nursing specialty were newly licensed nurses (15%; weighted n=33,979). CONCLUSION: There is an additional and reserve capacity available for recruitment that may help to meet the workforce needs for nursing, specifically emergency nurses and nurse practitioners, across the United States under conditions of a large-scale disaster. The results from this study may be used by the emergency care sector leaders to inform policies, workforce recruitment, workforce geographic mobility, new graduate nurse training, and job accommodation strategies to fully leverage the potential productive human capacity in emergency department care for registered nurses who are not currently working.


Asunto(s)
Enfermería de Urgencia/estadística & datos numéricos , Empleo/estadística & datos numéricos , Fuerza Laboral en Salud/estadística & datos numéricos , Enfermeras y Enfermeros/provisión & distribución , Capacidad de Reacción/estadística & datos numéricos , Adulto , Anciano , COVID-19/epidemiología , Movilidad Laboral , Estudios Transversales , Conjuntos de Datos como Asunto , Planificación en Desastres/estadística & datos numéricos , Servicio de Urgencia en Hospital/organización & administración , Femenino , Humanos , Masculino , Persona de Mediana Edad , Enfermeras Practicantes/estadística & datos numéricos , Jubilación/estadística & datos numéricos , Estudios Retrospectivos , SARS-CoV-2 , Estados Unidos/epidemiología
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