Abstract
We aimed to determine nationally representative differences in annual hazard-specific disaster preparedness training by health care provider shortage area (HPSA), practice rurality, patient population, and racial identity. Weighted estimates were generated from National Sample Survey of Registered Nurses (NSSRN) data. 15,408 surveys represented 208,866 nurse practitioners. Almost two-thirds had engaged in any disaster training annual updates. Fewer rural practitioners had trained for chemical (28% vs. 32%) and biological (26% vs. 29%) disasters. Psychiatric nurse practitioners engaged in the least disaster training. Our findings provide a national training needs assessment for policymakers, professional organizations, employers, and individual nurse practitioners.
Keywords: Disasters; Disaster Nursing; Education; Nursing; Nurse Practitioners; National Sample Survey of Registered Nurses (NSSRN); Epidemiology, Population Estimates
Introduction
Large scale disasters are escalating in scope, scale, frequency, and cost.1,2 While disaster preparedness and response are expected competencies of newly trained nurse practitioners (NPs),3 a gap exists in overall workforce disaster competency attainment.4,5 NPs are essential providers with a unique reach and presence in communities most likely to experience health-harming impacts of disasters.6,7 The overarching goal of our team’s work is to: (1) to assess and strengthen climate disaster resilience - the capacity of individuals, health systems, and communities to anticipate, withstand, adapt to, and recover from climate-driven hazards while maintaining essential health services; (2) to expand a climate-savvy health workforce - clinicians who possess the knowledge, skills, and attitudes to recognize, manage, and prevent climate-related health impacts and to advocate for mitigation and adaptation; and (3) to generate evidence that guides policymaking.4 The objective here was to generate nationally representative estimates of NP disaster preparedness training updates.
Background and Significance
In response to the World Health Organizations’ assertion that climate change is the most significant health threat facing humanity,8 the American Nurses Association (ANA) released a comprehensive position statement in 2023.9 This statement highlights the pivotal role nurses play in addressing climate change, promoting climate justice, and protecting public health. Acknowledging these pressing concerns, several national professional nursing and policy-focused organizations have released supportive reports, white papers, and position statements including the Alliance of Nurses for Healthy Environments (ANHE),10 the Oncology Nursing Society (ONS),11 the Gerontological Association of Advanced Practice Nurses,12 the American Holistic Nurses Association (AHNA)13, and the National Association of Pediatric Nurse Practitioners (NAPNAP).14 Additionally, as The Journal for Nurse Practitioners (JNP) is the official scholarly journal of the American Association of Nurse Practitioners (AANP), this special edition (Advanced Practice Nurses’ Role in Planetary Health) serves as a vital platform for advancing leadership strategies, fostering evidence-based dialogue, and promoting innovative practice approaches in this space. Collectively, these commitments emphasize the broad health impacts of planetary health and climate change, particularly among vulnerable populations, and highlight the essential roles of leadership, advocacy, and the adoption of sustainable, holistic approaches to health care.
The Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report emphasizes the urgent need for immediate and effective global action to reduce greenhouse gas emissions that contribute to global warming, ecological instability, and cascading effects on human health.15 Importantly, the IPCC report also outlines adaptation as a crucial pathway to reduce the health-related impacts of climate change, with disaster preparedness highlighted as a key public health strategy. Adaptation measures, such as strengthening early warning systems, improving health infrastructure, and expanding community preparedness efforts, are fundamental to building climate-resilient health systems and communities.
These strategies, when embedded in nursing and health professional education, ensure that advanced practice nurses and other healthcare providers are equipped to respond effectively to the growing burden of climate-driven disasters.16,17 In turn, disaster preparedness can significantly reduce morbidity and mortality from extreme weather events, floods, wildfires, and heatwaves, particularly in rural and underserved communities where climate vulnerability is compounded by limited access to care.
Responding effectively to climate-related disasters requires updated health care training and practice. Although a substantial majority of providers endorse that patient emergency preparedness is important, less than half feel confident in their knowledge and competency to provide emergency preparedness interventions as part of their care in women’s health.5,18 Little is known about national NP workforce population estimates of hazard-specific disaster preparedness training, with most of the literature on disaster preparedness/training focused on nursing students and registered nurses.19 However, this information is needed to determine where disaster training is needed for NPs, specifically, in which geographic areas and for which patient populations are at risk. For example, a national survey of pediatric NPs found those who received disaster training were 1.5 times more likely to respond to a disaster compared to those without disaster training.20 Across specialties, NPs report low to moderate knowledge of public health emergency readiness, even after working during the COVID-19 pandemic.19 As the numbers of NPs in the U.S. increases, especially in rural, low-income, and provider-shortage areas, understanding disaster training needs across rural and nonrural areas and by patient population becomes increasingly important to ensure equitable disaster preparedness and response among underserved populations.6
Purpose
The purpose of this study was to determine nationally representative differences in annual hazard-specific disaster preparedness training by health care provider shortage area (HPSA), rurality of nursing practice, patient population, and nurse racial identity.
Methods
Study design and data source.
We utilized an applied epidemiology study design of observational data to generate national estimates by analyzing the National Sample Survey of Registered Nurses (NSSRN).21 The survey is currently administered by the US Census Bureau with data collected in cross-sectional waves since 1977. As a public use file, the dataset contained no identifiable information and was deemed not human subjects. Thus, no institutional review board (IRB) determination was required.22
Setting and participants.
The United States Census Bureau administered the 2022 NSSRN survey to strata of registered nurses and nurse practitioners in the 50 United States and District of Columbia between December 15th, 2022 and April 13th, 2023. Additional detail on the population and sampling can be found at the federal website.21 The dataset was filtered to only include nurse practitioners (NPs) who were employed full-time in nursing with a bachelor’s degree or higher. We excluded those who worked exclusively in non-patient settings (e.g., government agency, university academic, insurance, regulatory, professional organization).
Variables.
Demographic variables were analyzed from survey responses addressing self-reported sex, age group, racial and ethnic identity group, marital status, veteran status, household income, and highest educational attainment. Rurality of work setting was a calculated variable provided by the US Census Bureau based on the Rural-Urban Commuting Area (RUCA) code the government associated with the address of the respondent’s work setting as of December 31, 2021, and stored in the dataset as either rural or not rural for analysis. Similarly, a derived variable indicated if the NP worked in a primary care health professional shortage area (HPSA). The US Census Bureau also generated a derived binary racial identity variable as White or Other due to small sample sizes in several categories of racial identity.
Our main variable of interest was disaster preparedness training updates. To measure disaster preparedness training updates, we utilized survey item B14 with the item stem of: “Within the past year, have you received or provided emergency preparedness training in any of the following areas specifically related to patient care or medical response to these emergencies?” Participants were able to mark either Yes or No responses for each of the following six categories: chemical, nuclear or radiological, infectious disease epidemic, biological, natural disaster, or other public health emergency. We created a calculated variable for any disaster training if the participant endorsed any of the six categories.
Patient population was measured by the response to survey item A8c “Which of the following NP certifications did you have from a NATIONAL CERTIFYING ORGANIZATION?” We included respondents’ endorsement of the following response options: Family NP, Adult-Gerontology Primary Care NP, Adult-Gerontology Acute Care NP, Pediatric Primary Care NP, Psychiatric-Mental Health NP, Neonatal NP, Women’s Health Care NP.
Bias.
We report the results of all analysis conducted here in the manuscript and supplemental tables to reduce the opportunity for publication bias. This manuscript follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline for transparent reporting.23
Statistical Methods.
Using STATA 17.0 (College Station, TX) statistical software, we generated population weighted estimates by successive difference replication (SDR) as indicated in the documentation from the survey and dataset developers at the Health Research Services Association.21 Subpopulation analyses were conducted by nurse racial identity (White or Other), rurality of practice (Rural or Not Rural), HPSA practice (HPSA or Not HPSA), and by patient population (endorsed vs. not endorsed). Comparisons were observed by the 95% confidence interval of the population estimate. A sensitivity analysis was completed to analyze each test with and without missing data. The results that excluded missing data are reported in the main results here.
Results
Participants.
Responses from 15,408 surveys, representing a weighted estimate of 208,866 NPs across the nation were analyzed. Overall, 60% of NPs had any form of disaster preparedness training in the previous year.
Descriptive data.
NP demographic characteristics by practice rurality are listed in Table 1, where population proportion estimate differences were detected with 95% confidence intervals that did not overlap. Rural NPs were slightly older and much less racially diverse compared to non-rural counterparts. A higher proportion of rural NPs were married or in a domestic partnership compared to non-rural NPs (81% vs. 76%). A larger proportion of non-rural NPs belonged to wealthier households, with 28% reporting an annual household income of $200,000 or more compared to 20% of rural NPs. No differences were observed in sex or veteran status by NP rurality.
Table 1.
Nurse Practitioner Demographic Characteristics and Disaster Preparedness Training Updates by Practice Rurality
| RURAL | NOT RURAL | |||||||
|---|---|---|---|---|---|---|---|---|
| n | % | 95% CI lb | 95% CI ub | n | % | 95% CI lb | 95% CI ub | |
|
| ||||||||
| SEX | ||||||||
| Male | 2672 | 12.13 | 10.33 | 14.18 | 23370 | 14.30 | 13.25 | 15.42 |
| Female | 19359 | 87.87 | 85.82 | 89.67 | 140035 | 85.70 | 84.58 | 86.75 |
| AGE | ||||||||
| <29 | 170 | .77 | .44 | 1.33 | 2291 | 1.40 | 1.18 | 1.67 |
| 30–34 | 2802 | 12.72 | 10.98 | 14.70 | 21320 | 13.05 | 12.26 | 13.88 |
| 35–39* | 3802 | 17.26 | 15.87 | 18.74 | 32987 | 20.19 | 19.14 | 21.28 |
| 40–44 | 3751 | 17.03 | 15.20 | 19.02 | 26124 | 15.99 | 15.20 | 16.81 |
| 45–49 | 3262 | 14.81 | 12.66 | 17.25 | 25783 | 15.78 | 14.98 | 16.61 |
| 50–54 | 2809 | 12.75 | 10.89 | 14.87 | 21424 | 13.11 | 12.47 | 13.77 |
| 55–59 | 2456 | 11.15 | 9.67 | 12.82 | 15613 | 9.56 | 8.85 | 10.31 |
| 60–64 | 1521 | 6.91 | 5.93 | 8.02 | 10749 | 6.58 | 6.07 | 7.13 |
| 65–69* | 1162 | 5.28 | 4.02 | 6.89 | 5323 | 3.26 | 2.92 | 3.64 |
| 70–74 | 146 | .66 | .33 | 1.32 | 1507 | .92 | .74 | 1.14 |
| 75+* | 149 | .68 | .34 | 1.35 | 283 | .17 | .10 | .31 |
| RACE/ETHNIC IDENTITY | ||||||||
| Hispanic* | 495 | 2.25 | 1.54 | 3.27 | 15050 | 9.21 | 8.67 | 9.79 |
| White only, non-Hispanic* | 19126 | 86.81 | 84.73 | 88.66 | 105680 | 64.67 | 63.60 | 65.73 |
| Black only, non-Hispanic* | 897 | 4.07 | 2.84 | 5.80 | 22768 | 13.93 | 13.05 | 14.87 |
| Asian only, non-Hispanic* | 361 | 1.64 | .92 | 2.90 | 13875 | 8.49 | 7.97 | 9.05 |
| American Indian only, non-Hispanic | 191 | .87 | .51 | 1.47 | 610 | .37 | .25 | .55 |
| Pacific Islander or multiple races, non-Hispanic | 961 | 4.36 | 3.09 | 6.13 | 5422 | 3.32 | 2.90 | 3.80 |
| MARITAL STATUS | ||||||||
| Married or in domestic partnership* | 17853 | 81.04 | 79.09 | 82.84 | 123635 | 75.66 | 74.60 | 76.69 |
| Widowed, divorced, separated | 2800 | 12.71 | 11.03 | 14.59 | 20760 | 12.70 | 11.95 | 13.50 |
| Never married* | 1378 | 6.25 | 5.11 | 7.63 | 19011 | 11.63 | 10.88 | 12.43 |
| VETERAN STATUS | ||||||||
| Never served in the military | 20948 | 95.09 | 93.96 | 96.01 | 154193 | 94.36 | 93.67 | 94.98 |
| Only on active duty for training in the reserves or national guard | 327 | 1.48 | 0.99 | 2.21 | 1965 | 1.20 | .94 | 1.54 |
| Now on active duty or on active duty in the past | 756 | 3.43 | 2.61 | 4.50 | 7247 | 4.43 | 3.89 | 5.06 |
| ANNUAL HOUSEHOLD INCOME | ||||||||
| $25,000 or less | 36 | .17 | .07 | .40 | 186 | .11 | .06 | .21 |
| $25,001–$35,000 | 45 | .21 | .05 | .88 | 51 | .03 | .01 | .08 |
| $35,001–$50,000 | 81 | .37 | .17 | .80 | 418 | .26 | .16 | .41 |
| $50,001–$75,000 | 421 | 1.91 | 1.47 | 2.45 | 3540 | 2.17 | 1.81 | 2.59 |
| $75,001–$100,000 | 2179 | 9.89 | 8.50 | 11.48 | 14767 | 9.04 | 8.33 | 9.79 |
| $100,001–$150,000* | 8582 | 38.95 | 36.49 | 41.48 | 55799 | 34.15 | 32.92 | 35.39 |
| $150,001–$200,000 | 6256 | 28.40 | 26.54 | 30.33 | 42415 | 25.96 | 24.94 | 27.00 |
| More than $200,000* | 4429 | 20.10 | 18.29 | 22.05 | 46229 | 28.29 | 27.16 | 29.46 |
| EDUCATIONAL ATTAINMENT | ||||||||
| Bachelors | 1500 | 6.81 | 5.63 | 8.21 | 11390 | 6.97 | 6.45 | 7.53 |
| Masters/Post-Masters certificate | 17796 | 80.78 | 78.81 | 82.61 | 127197 | 77.84 | 76.78 | 78.87 |
| Doctorate* | 2735 | 12.42 | 10.82 | 14.21 | 24818 | 15.19 | 14.29 | 16.13 |
| DISASTER PREPAREDNESS | ||||||||
| Chemical* | 6180 | 28.05 | 26.00 | 30.00 | 51759 | 31.68 | 30.48 | 32.89 |
| Biological* | 5623 | 25.53 | 23.58 | 27.58 | 47741 | 29.22 | 27.99 | 30.48 |
| Nuclear/Radiological | 3776 | 17.14 | 15.36 | 19.08 | 32233 | 19.73 | 18.78 | 20.70 |
| Epidemic | 12154 | 55.17 | 52.55 | 57.76 | 91983 | 56.29 | 55.00 | 57.57 |
| Natural Disaster | 7555 | 34.29 | 32.03 | 36.63 | 56733 | 34.72 | 33.44 | 36.02 |
| Other | 7796 | 35.39 | 33.13 | 37.72 | 59012 | 36.11 | 35.06 | 37.18 |
| Any Disaster | 12970 | 58.87 | 56.39 | 61.31 | 99354 | 60.80 | 59.69 | 61.90 |
Table Note:
Population proportion estimate differences observed by 95% confidence interval
Main results by rurality and HPSA.
Fewer rural NPs had trained for chemical (28% vs. 32%) and biological (26% vs. 29%) disasters (Table 1). No differences in disaster preparedness training updates were observed for NPs working in HPSA’s compared to non-HPSA’s (Supplemental Table).
Results by patient population served.
NP disaster preparedness update training by patient population certification is summarized in Table 2. Overall, a lower proportion of psychiatric-mental health NPs (PMHNPs) had engaged in these updates compared to their peers. By hazard, a greater proportion of adult gerontology – acute care NPs reported engaging in training in the last year on nuclear/radiological (25% vs. 19%) disasters compared to their peers. On the other hand, a smaller proportion of the national PMHNP workforce had engaged in chemical (25% vs. 32%), biological (23% vs. 29%), nuclear/radiological (14% vs. 20%), infectious disease epidemic (42% vs. 57%), or the derived indicator for any disaster training (49% vs. 61%) compared to peers who did not hold this certification. While there were no hazard-specific differences for family NPs, a larger proportion had participated in any disaster training updates (62% vs. 58%) compared to peers who did not hold a family NP certification. No differences were observed by adult gerontology- primary care, pediatric primary care, or women’s health certification for NPs. Non-specific NP certification response options of other and adult/gerontology unspecified were not included in this report due to a lack of specificity of the survey concept.
Table 2.
Nurse Practitioner Disaster Preparedness Training Updates by Patient Population
| FAMILY | ||||
|---|---|---|---|---|
| N | % | 95% CI lb | 95% CI ub | |
| Chemical | 38584 | 31.2 | 30.01 | 32.41 |
| Biological | 35766 | 28.92 | 27.64 | 30.23 |
| Nuclear/Radiological | 24102 | 19.49 | 18.38 | 20.64 |
| Epidemic | 70620 | 57.10 | 55.70 | 58.48 |
| Natural Disaster | 43321 | 35.03 | 33.55 | 36.53 |
| Other | 44908 | 36.31 | 35.09 | 37.55 |
| Any Disaster | 76104 | 61.53 | 60.15 | 62.90 |
| ADULT GERONTOLOGY - PRIMARY CARE | ||||
| N | % | 95% CI lb | 95% CI ub | |
| Chemical | 8130 | 33.45 | 30.78 | 36.23 |
| Biological | 7378 | 30.36 | 27.95 | 32.88 |
| Nuclear/Radiological | 4997 | 20.56 | 18.35 | 22.96 |
| Epidemic | 13987 | 57.55 | 54.26 | 60.77 |
| Natural Disaster | 8274 | 34.04 | 31.53 | 36.65 |
| Other | 8384 | 34.50 | 31.75 | 37.34 |
| Any Disaster | 14919 | 61.39 | 58.19 | 64.49 |
| ADULT GERONTOLOGY - ACUTE CARE | ||||
| N | % | 95% CI lb | 95% CI ub | |
| Chemical | 6228 | 35.21 | 31.69 | 38.90 |
| Biological | 5815 | 32.88 | 29.35 | 36.61 |
| Nuclear/Radiological | 4446 | 25.14 | 21.85 | 28.74 |
| Epidemic | 10592 | 59.89 | 56.07 | 63.60 |
| Natural Disaster | 6539 | 36.98 | 33.16 | 40.97 |
| Other | 6890 | 38.96 | 35.25 | 42.80 |
| Any Disaster | 11280 | 63.78 | 59.89 | 67.51 |
| PEDIATRIC PRIMARY CARE | ||||
| N | % | 95% CI lb | 95% CI ub | |
| Chemical | 3314 | 30.69 | 26.59 | 35.11 |
| Biological | 2899 | 26.84 | 22.52 | 31.66 |
| Nuclear/Radiological | 2085 | 19.30 | 15.80 | 23.37 |
| Epidemic | 5704 | 52.81 | 47.25 | 58.30 |
| Natural Disaster | 3412 | 31.59 | 27.39 | 36.12 |
| Other | 3773 | 34.93 | 30.00 | 40.20 |
| Any Disaster | 6227 | 57.65 | 52.12 | 62.99 |
| PSYCHIATRIC/MENTAL HEALTH | ||||
| N | % | 95% CI lb | 95% CI ub | |
| Chemical | 3827 | 24.57 | 21.20 | 28.28 |
| Biological | 3514 | 22.56 | 19.49 | 25.96 |
| Nuclear/Radiological | 2223 | 14.27 | 11.96 | 16.95 |
| Epidemic | 6606 | 42.41 | 38.43 | 46.49 |
| Natural Disaster | 4784 | 30.71 | 26.57 | 35.19 |
| Other | 5111 | 32.81 | 29.34 | 36.47 |
| Any Disaster | 7586 | 48.70 | 45.19 | 52.22 |
| WOMEN'S HEALTH | ||||
| N | % | 95% CI lb | 95% CI ub | |
| Chemical | 2143 | 33.34 | 27.57 | 39.65 |
| Biological | 2053 | 31.94 | 26.59 | 37.82 |
| Nuclear/Radiological | 1333 | 20.74 | 15.66 | 26.93 |
| Epidemic | 3459 | 53.81 | 47.87 | 59.65 |
| Natural Disaster | 2164 | 33.66 | 29.03 | 38.63 |
| Other | 2440 | 37.96 | 32.79 | 43.43 |
| Any Disaster | 3646 | 56.73 | 50.58 | 62.68 |
Note: Data reported for NPs who endorsed having the training. Data for the comparators who did not endorse in each category are not presented in the table as noted in manuscript text. Row is bolded where population proportion estimate differences between endorsed/not endorsed participant responses were observed by 95% confidence interval. Group differences by NP certification for Adult/Gerontology Unspecified and Other (neonatal, emergency) are not reported to due lack of specificity in the survey concepts.
Results by NP racial identity.
NP engagement in disaster preparedness training over the year prior to the survey by reported nurse racial identity are presented in Table 3. No differences were observed except a lower proportion of NPs who reported their race as White, non-Hispanic engaged in nuclear/radiological disaster preparedness training (18% vs. 22%) and other public health emergency (34% vs. 39%).
Table 3.
Nurse Practitioner Disaster Preparedness Training Updates by Reported Racial Identity (weighted n=208,866)
| WHITE | OTHER | |||||||
|---|---|---|---|---|---|---|---|---|
| n | % | 95% CI lb | 95% CI ub | n | % | 95% CI lb | 95% CI ub | |
|
| ||||||||
| Chemical | 42076 | 30.27 | 29.10 | 31.47 | 23235 | 33.26 | 30.89 | 35.72 |
| Biological | 38244 | 27.51 | 26.33 | 28.72 | 21646 | 30.99 | 28.57 | 33.51 |
| Nuclear/Radiological * | 25315 | 18.21 | 17.31 | 19.14 | 15232 | 21.80 | 19.71 | 24.05 |
| Epidemic | 77385 | 55.67 | 54.42 | 56.91 | 39004 | 55.84 | 53.49 | 58.16 |
| Natural Disaster | 46214 | 33.24 | 31.97 | 34.55 | 25564 | 36.60 | 34.31 | 38.94 |
| Other * | 47609 | 34.25 | 33.16 | 35.35 | 27029 | 38.69 | 36.56 | 40.87 |
| Any Disaster | 82623 | 59.44 | 58.33 | 60.53 | 42936 | 61.46 | 59.29 | 63.60 |
Note:
Population proportion estimate differences observed by 95% confidence interval
Sensitivity Analysis.
A sensitivity analysis was conducted to generate the estimates with missing data as an indicator variable. This analysis produced no difference in the interpretation of findings and is not included in the report presented here.
Discussion
This is the first study to generate nationally representative estimates of NP disaster preparedness training updates by disaster type, rurality, certification specialty, and NP racial identity, filling a critical gap in the disaster preparedness and health care workforce literature. Nurse practitioners are becoming more prevalent in the U.S., specifically in low-income, rural, and provider-shortage areas6 where communities are most likely to experience the health-harming impacts of disasters, yet we found only 60% of NPs reported receiving any form of disaster preparedness training in the previous year. Overall, there is a paucity of literature regarding disaster training and preparedness for NPs in the U.S., with the majority of literature being limited to a single health system, geographic area, and/or single certification specialty.19,20 Disaster training fosters a sense of preparedness and is needed to ensure NPs respond to disasters. A 2020 Texas study found that only ⅓ of NPs felt prepared for disaster management.24 Education and training leads to an increased readiness to take action. In a national study, receiving disaster training was associated with NPs reporting feeling 1.5 times more likely to respond to a disaster compared to those without disaster training,20 indicating an important opportunity to provide and ensure receipt of appropriate training to foster a prepared workforce, especially in underreached areas.
While no differences were found for NP’s working in healthcare professional shortage areas, we noted disparities by rural vs. non-rural geographic areas, with fewer rural NP’s having trained for chemical and biological disasters compared to those in non-rural areas. Previous research has not investigated if rural disparities for disaster training among NPs exist, yet rural nurses have previously reported training disparities overall compared to nurses working in more urban areas.25 This may partially be attributed to unique workforce and funding challenges in rural areas.26
By patient population served (measured by certification in Table 2), we found PMHNPs to report lower proportions of engaging in any disaster preparedness training updates compared to their peers who did not hold this certification (49% vs. 61%); with the largest disparity being 15-percentage-points for infectious disease epidemic training (42% vs. 57%). While there have been calls for enhancing mental health practitioners’ role in psychological first aid, there is little evidence on efficacy or effectiveness of disaster training to upskill in preparation for higher acuity and whole-patient health needs in disaster contexts. 27,28 In other specialties, such as women’s health, previous assessments corroborate our findings that around two-thirds of NP’s are willing to engage in disaster preparedness training.18 Additional assessments are recommended for psych/mental health NPs.
Implication for NP Education and Training
The American Association of Colleges of Nursing (AACN) Essentials29 (hereafter ‘AACN Essentials’) provides a foundational framework for NP education and training, including competencies related to disaster preparedness. Domain 3 (Population Health), Domain 5 (Quality and Safety), Domain 6 (Interprofessional Partnerships), and Domain 7 (Systems-Based Practice), Domain 8 (Informatics and Healthcare Technologies), and Domain 9 (Professionalism) are key domains to guide the development of disaster-related competencies across all specialties. For example, Domain 3 emphasizes improving health outcomes and reducing disparities, and are core goals central in climate resilience, particularly as vulnerable populations are disproportionately affected by climate-related disasters. Domain 5 focuses on minimizing harm, highlighting the importance of preparing NPs to anticipate, respond to, and manage risks during public health emergencies. Domains 6 and 7 underscore the importance of cross-disciplinary teamwork and coordination, which are essential during disaster responses where collaboration with public health, emergency management, and other clinical teams ensures effective care delivery. Domain 8 supports the integration of digital tools such as early warning systems, electronic health records, and telehealth platforms that facilitate continuity of care and real-time decision-making during crises. Finally, Domain 9 reinforces the professional obligation of NPs to be prepared, advocate for vulnerable populations, and respond decisively to public health threats linked to climate change. Collectively, these domains support the integration of disaster preparedness into all NP educational pathways. While the AACN Essentials provide the foundation for formal education, disaster readiness must also be embraced as a lifelong professional responsibility. Internationally, the ICN Core Competencies in Disaster Nursing Version 2.030 offer a complementary framework that reinforces these priorities, especially in areas of population-level care, interprofessional collaboration, and systems-based response. Aligning ICN disaster competencies with the AACN Essentials can help guide curricular development that prepares NPs for leadership in disaster preparedness and response on both. These AACN-aligned competencies also mirror the climate adaptation strategies emphasized in the IPCC Report.15 Embedding disaster preparedness into NP education is not only consistent with national competency standards but it also directly supports global goals to build climate-resilient health systems. Notably, IPCC adaptation priorities essential for reducing the health-related impacts of climate change (i.e., strengthening early warning systems, improving health infrastructure, and expanding community-level preparedness) align directly with the AACN Essentials. NP educational programs that intentionally align educational outcomes with these global adaptation priorities will help build an agile, responsive future NP workforce and, hopefully, one that serves as a key driver of health system resilience.
To align with these competencies, targeted education on disaster preparedness must be prioritized for all NPs, and in particular, PMHNPs, who are uniquely positioned to address the psychological toll of climate-related disasters. Events such as floods, wildfires, and pandemics often intensify symptoms of anxiety, depression, post-traumatic stress disorder (PTSD), and substance use disorder (SUD), especially among individuals with pre-existing mental health conditions.31 However, many PMHNPs lack adequate education or ongoing training to respond effectively in such high-stakes situations. Notably, our findings indicate that PMHNPs were the least likely to receive hazard-specific (i.e., chemical, biological, nuclear, epidemic, or natural disasters preparedness) preparedness training. Despite this gap, PMHNPs are extensively trained to manage the psychological and behavioral health consequences of high-stress events or disasters more generally, building on their foundational preparation as registered nurses (RNs). This nursing background provides a broad base in physical health care and allows PMHNPs to adapt and expand their skills rapidly in crisis contexts. Such breadth distinguishes them from mental health professionals like psychologists or clinical social workers, whose training typically lacks comparable physical care competencies. This dual foundation enables PMHNPs to address a wider range of health needs during disasters, making their psychosocial expertise a critical complement to the clinical capabilities of other NP specialties and interprofessional providers necessary for effective disaster preparedness and recovery.
Psychological First Aid (PFA) is an evidence-informed, non-intrusive intervention developed by the National Center for PTSD and the National Child Traumatic Stress Network, 32,33 and is recognized by the American Red Cross (ARC) as a foundational competency for mental health responders.34 PFA helps reduce acute trauma-related distress and supports long-term recovery by promoting core principles of safety, calmness, connectedness, self-efficacy, and hope. Its flexibility across diverse disaster contexts makes PFA especially valuable for PMHNPs who are often called upon to provide early and long-term psychological support. To address the preparedness gap identified in the literature, integrating PFA, trauma-informed care into both graduate and continuing education is a vital strategy to address the preparedness gap observed in the literature.27,28
All NP students, regardless of population or specialty, would benefit from hazard-specific training that addresses threats such as infectious disease outbreaks, chemical, and radiological exposures, and natural disasters. Graduate programs should collaborate with organizations like the American Red Cross and the Substance Abuse and Mental Health Services Administration (SAMHSA)35 to deliver simulation-based, evidence-informed training. These immersive experiences not only enhance real-world readiness but also foster cross-disciplinary collaborations through interprofessional disaster drills. Continuing education requirements should include emergency preparedness content at least every one to two years to ensure the NP workforce remains responsive to evolving public health threats. Certification in PFA should be encouraged across NP roles to build psychological response capacity at scale. Among advanced practice certification boards, the Pediatric Nursing Certification Board (PNCB) more explicitly includes environmental exposure and disaster preparedness content in its certification exams.36 Broader inclusion of environmental exposure and disaster preparedness competencies across all NP certification exams would likely incentivize NP programs to embed this content into core curricula, enhancing readiness for both licensure and frontline response.
Future Research.
Our findings indicate the need for additional research on NP disaster training updates focused on education, discovery, implementation, and leadership. Educational effectiveness research is needed to ascertain optimal content, delivery method(s), intensity, duration, and update frequency to maintain disaster preparedness competency. Educational effectiveness research is also needed to tailor access and content towards eliminating the disparities observed in our findings. Discovery research is needed to generate new disaster nursing innovations and test efficacy in simulation education intervention, precision hazard threat prediction, and other advances in disaster nursing intervention competency at the advanced practice level. While our findings provide a needs assessment for nationally scaled NP disaster training, little is known about the implementation of completed training into NP practice or patient outcome impacts. We recommend rigorous implementation science designs in future research to ascertain the causal links between updated training, practice adoption, and organizational or patient outcomes. Last, the disparities observed in our findings indicate the need for multi-level nursing leadership intervention research to ensure alignment in NP disaster competency and training updates with overarching rural health practice in the United States, patient population certification, and equality in training access by nurse racial identity. We note a specific need to address a national plan and clarify expectations for disaster-context upskilling and hazard-specific preparedness among PMHNPs.
Policy Implications.
Our findings have local, state, and national policy implications. An essential competency advanced practice nurses obtain in graduate school focuses on system level leadership that advances population health through disaster preparedness and public health emergency response.29 These competencies include organizational policy development and refinement. NPs in organizational leadership positions may wish to utilize our national needs assessment findings to justify updates to their organization’s overall and hazard-specific policies for NP annual disaster preparedness training to ensure workforce preparation for the hazards that threaten their organizations with a focus on behavioral and mental health workforce and rural practices. They may also wish to replicate our analysis in an organization-specific needs assessment.
At the time of writing this manuscript, federal funding that supports state and regional programs is undergoing a period of transformation. The main source of federal funding for health system preparedness flows from Center for Disease Control and Prevention’s Hospital Preparedness Program (HPP) and Public Health Emergency Preparedness (PHEP) program budgets, which supports regional health care coalition coordination. Nurses in academic, practice, and professional association leadership positions are well poised to fill the anticipated gaps these cost containment measures leave and generate nurse-led, interdisciplinary collaboration, training, and exercises.16,17 In collaboration with policy and government relations experts, nurses with public health competencies are well positioned to inform policy development and priorities on meaningful public funding of disaster preparedness with NP disaster training updates.
Nationally, disasters disproportionately impact medically underserved populations where NPs have established their lead in addressing the unmet need for health care.5 Federal policy and appropriation support for rural NP education, workforce retention, and disaster preparedness competencies are warranted. Alternatively, the international conflict and crisis responsibilities of our nation’s military nurses positions them with a unique depth of disaster preparedness and response capacity. Policies and infrastructure capacity to open military-civilian partnerships among rural NPs for military-grade disaster preparedness training provides an innovative policy target.37 The responsibility for federal interagency disaster preparedness coordination rests with the Public Health Emergency Medical Countermeasure Enterprise (PHEMCE).38 NPs are ideally positioned to contribute to the PHEMCE strategic objective to “enhance collaboration between federal and non-federal partners to improve engagement for effective [medical countermeasure] decision-making and use,” noting these countermeasures include pharmaceutical, medical device, personal protective equipment, decontamination, and clinical decision-making support. Rural NP leadership and input is essential to ensure federal government policymakers are informed and calibrated with this nursing lens.39 We recommend further optimizing rural NP professional organization and stakeholder representation in high level decision-making and committees informing PHEMCE and other relevant government disaster-related consulting initiatives. Last, a national plan for just in time upskilling of the entire nursing workforce is essential to future preparedness.40 Our findings here not only indicate a need for enhanced reach of current disaster preparedness training updates but contribute to the need for specific specialty organizations to be prepared to expand their skills to care for patients with higher levels of acuity and potentially outside of the specialty area under conditions of a national public health emergency.
Limitations
The data collected for the 2022 NSSRN occurred in the context of the COVID-19 pandemic, which captures recent training experiences and not the entirety of the respondents’ educational backgrounds nor the potential variability in training over time and among different NP cohorts. Accordingly, these national estimates should be interpreted with caution for generalizability beyond the context of this global public health emergency. As with any self-report survey finding, social desirability bias and recall bias may influence the findings. We utilized a binary comparison for nurse racial identity, which may not capture the full nuance and intersectionality of this variable. Reporting disaster training in the last year may not represent the actual level of the NP’s disaster competency and preparedness. As with any analysis of a cross-sectional wave, no causation can be determined by this analysis.
Conclusion
This study quantified nationally representative differences in annual hazard-specific disaster preparedness training by HPSA, practice rurality, patient population, and racial identity from the 2022 NSSRN data. Of the 208,866 NPs, nearly two-thirds had engaged in any disaster training annual updates. We observed no differences by HPSA. Fewer rural practitioners had trained for chemical (28% vs. 32%) and biological (26% vs. 29%) disasters compared to their peers. PMHNPs engaged in the least disaster training. Our findings provide a national training needs assessment for policymakers, professional organizations, employers, and individual nurse practitioners to improve disaster preparedness training. Nurse-led models of disaster preparedness interdisciplinary training are needed to transform the national system to one that is responsive for patients most at risk for disproportionate health impacts from disaster.
Supplementary Material
Acknowledgements
The authors gratefully acknowledge Duke University School of Nursing’s Stacy Zhao for manuscript preparation support.
Funding
Research reported in this publication was supported in part by the National Institute of Environmental Health Sciences of the National Institutes of Health under Award Number R25ES033452 (principal investigator: Jessica Castner). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This work was supported in part by the Duke University Nicholas Institute for Energy, Environment, and Sustainability. The content is solely the responsibility of the authors, and sponsors had no role in the study design, collection, analysis and interpretation of data, writing of the report, or decision to submit the article for publication.
Research reported in this publication was supported by the National Institute for Occupational Safety and Health (NIOSH) under Federal Training Grant T42OH008433 (Taryn Amberson). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIOSH.
Footnotes
Declaration of competing interests
Dr. Castner is the president and principal of Castner Incorporated, a woman-owned small business research institute and co-owner of a family farmland limited liability corporation (LLC).
Valerie Sabol and Taryn Amberson have nothing to declare.
Declaration of generative AI and AI-assisted technologies in the writing process.
Statement: During the preparation of this work the author(s) used Microsoft Co-Pilot in order to troubleshoot aspects of the missing data analyses from author-drafted analytic code. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article. There was no other use of AI.
Data Statement
The de-identified and publicly available data used in this analysis can be found at the corresponding United States Government website. Software analytic code as research data is available upon reasonable request.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The de-identified and publicly available data used in this analysis can be found at the corresponding United States Government website. Software analytic code as research data is available upon reasonable request.
