Public health nurses' experiences with mental health promotion for adolescent immigrants in schools: A qualitative study.

AIMS AND OBJECTIVES: This study aimed to explore public health nurses' experiences with mental health promotion for adolescent immigrants in lower secondary and high school, aiming to enhance knowledge and insights for effective mental health promotion. METHODOLOGICAL DESIGN AND JUSTIFICATION: A qualitative design employing a hermeneutic approach was chosen. Thirteen public health nurses were selected using purposive criterion sampling and snowballing. Thematic analysis was applied, adhering to COREQ guidelines for transparency. ETHICAL ISSUES AND APPROVAL: The research was approved by the Norwegian Centre for Research Data. The guidelines of the National Committee for Research Ethics in the Social Sciences and the Humanities were followed. RESEARCH METHODS, INSTRUMENTS, AND/OR INTERVENTIONS: Data were collected through three focus-group interviews (n = 13), using semi-structured interview guides to explore the experiences of public health nurses in promoting mental health among adolescent immigrants. OUTCOME MEASURES: This study identified three key themes: (i) Striving to understand adolescent immigrants' mental health aspects, including both positive and negative aspects; (ii) Different strategies for promoting mental health, viewing adolescents as both recipients and contributors to their well-being; and (iii) Barriers to public health nurses' promotion of mental health, including language, cultural, and knowledge-related obstacles and trust issues. RESULTS: Public health nurses noted that language barriers and trust issues often delayed adolescent immigrants from seeking help for mental health concerns. Cultural competence and empathy were deemed crucial. To meet these needs, public health nurses must build rapport with parents, collaborate with professionals, implement follow-up programmes, and advocate for policy changes. STUDY LIMITATIONS: Limitations of this qualitative study include potential bias from the authors' background and non-generalizability of results to other contexts. CONCLUSIONS: In conclusion, public health nurses' experiences reveal the need for enhanced cultural competence, language proficiency, and trust-building to better serve adolescent immigrants. Collaborative efforts, follow-up programmes, and policy advocacy are essential to improve mental health promotion in school settings.

Bridging the gap: Innovating undergraduate public health nursing education through a service-learning health fair project.

Amidst a critical shortage of registered nurses, nursing schools are aiming to expand enrollment while working with ongoing resource constraints. Service-learning clinical activities can enhance nursing education by improving clinical quality, addressing faculty and clinical site shortages, and meeting increasing enrollment demands. This paper describes a health fair experience that served as a service-learning clinical experience within an undergraduate public health nursing course. The experience bridged theoretical knowledge with real-world application, fostering competency-based learning and addressing community health needs, resulting in a positive impact on students, faculty, and the community.

Prediction of drinking water quality with machine learning models: A public health nursing approach.

OBJECTIVE: The aim of this study is to use machine learning models to predict drinking water quality from a public health nursing approach. DESIGN: Machine learning study. SAMPLE: "Water Quality Dataset" was used in the study. The dataset contains physical and chemical measurements of water quality for 2400 different water bodies. The process consists of four stages: Data processing with Synthetic Minority Oversampling Technique, hyperparameter tuning with 10-fold cross-validation, modeling and comparative analysis. 80% of the dataset is allocated as training data and 20% as test data. ML models logistic regression, K-nearest neighbor, support vector machine, random forest, XGBoost, AdaBoost Classifier, Decision Tree algorithms were used for water quality prediction. Accuracy, precision, recall, F1 score and AUC performance metrics of ML models were compared. To evaluate the performance of the models, 10-fold cross-validation was used and a comparative analysis was performed. The p-values of the models were also compared. RESULTS: N this study, where drinking water quality was predicted with seven different ML algorithms, it can be said that XGBoost and Random Forest are the best classification models in all performance metrics. There is a significant difference in all ML algorithms according to the p-value. The H0 hypothesis is accepted for these algorithms. According to the H0 hypothesis, there is no difference between actual values and predicted values. CONCLUSION: In conclusion, the use of ML models in the prediction of drinking water quality can help nurses greatly improve access to clean water, a human right, be more knowledgeable about water quality, and protect the health of individuals.

The development and challenges of public health nursing education in China from 1912 to 1949: A historical study.

OBJECTIVE: To examine the development and challenges of public health nursing education in China during the period of the Republic of China (1912-1949). METHODS: This study utilized a historical research design that combined a social framework and a policy framework to explore the early history of public health nursing education in China. Historical data were collected from periodicals, newspapers, archives, books and other sources. RESULTS: Public health was integrated into the nursing school curriculum for the first time during the period of the Republic of China, and health facilities and nursing schools conducted early explorations of public health nurse training. However, public health nursing education faced difficulties in terms of the curriculum, personnel training, and the localization of education. CONCLUSIONS: The achievements and difficulties associated with public health nursing education in China during the period of the Republic of China provide a historical reference for the integration of public health into current basic nursing education and the compatibility between the training of public health nurses and practical needs. Comparative studies of early public health nursing education across countries are expected to offer a better understanding of current public health nursing education.

The use of Community/Public Health Nursing Competencies during the COVID-19 pandemic.

OBJECTIVES: (1) Ascertain the use of the Quad Council Competencies for Community/Public Health Nursing (QCC-C/PHN) Competencies by community/public health nurses (C/PHNs) during the COVID-19 pandemic; (2) Inform from a systems-level the need to sustain the C/PHN workforce; (3) Assess the C/PHN infrastructure for response capacity. DESIGN: Cross-sectional. Statewide email distribution lists were used for dissemination. SAMPLE: Convenience sample (n = 169) obtained using emailed Qualtrics link with the eligibility criteria of self-identification as a C/PHN who works in the state of Missouri. MEASUREMENTS: Demographic questions included employment sector, nursing education level, years of nursing, and C/PHN experience. Two Likert-type questions and one optional open-text question were created for the eight domains. RESULTS: One hundred sixty-nine participants' data were analyzed. One hundred fifty-four were employed in a local public health agency. Total 63.2% held a bachelor's degree in nursing or higher. The average number of years of nurse experience was 20.84, and C/PHN experience was 9.84. The domain of Communication Skills scored highest and Cultural Competency was the lowest. Three themes emerged from the open-ended questions including vulnerabilities of the public health system. CONCLUSION: Understanding the experiences of C/PHNs in Missouri related to the utilization of QCC-C/PHN competencies informs efforts to strengthen public health infrastructure and target resources to equip Missouri's C/PHNs.

The effect of case-based teaching method on professional competence and clinical decision-making levels of public health nursing students: A sequential explanatory mixed-methods study.

OBJECTIVES: To evaluate the effect of case-based teaching method applied to fourth year nursing students on their professional competence and clinical decision-making levels. DESIGN: A quasi-experimental design study with a sequential-exploratory mixed-method approach. SAMPLE: 64 nursing students enrolled in the Public Health Nursing course. METHODS: A case-based teaching program was applied to the students that cover the topics of the Public Health Nursing course. Quantitative phase data were collected with the Clinical Decision Making in Nursing Scale and Nursing Students' Competence Scale. For the qualitative part, focus group interviews were conducted with a Structured Interview Form. RESULTS: It was determined that the total and subscale posttest scores of the students increased significantly compared to their pretest scores (p < .001). A moderate positive correlation was found between the total scores received from the scale and a significant positive correlation was found between researching information and adopting new information impartially and all sub-dimensions except care (p < .05). Three main themes emerged from the focus group interviews conducted after the case-based teaching method experience: usefulness, limitations, and improvement. CONCLUSIONS: Case-based teaching method is effective on students' professional competence and clinical decision-making scores. Students' professional competence levels positively affect their clinical decision-making levels.

Public health nurse perspectives on predicting nonattendance for cervical cancer screening through classification, ensemble, and deep learning models.

OBJECTIVES: Women's attendance to cervical cancer screening (CCS) is a major concern for healthcare providers in community. This study aims to use the various algorithms that can accurately predict the most barriers of women for nonattendance to CS. DESIGN: The real-time data were collected from women presented at OPD of primary health centers (PHCs). About 1046 women's data regarding attendance and nonattendance to CCS were included. In this study, we have used three models, classification, ensemble, and deep learning models, to compare the specific accuracy and AU-ROC for predicting non-attenders for CC. RESULTS: The current model employs 22 predictors, with soft voting in ensemble models showing slightly higher specificity (96%) and sensitivity (93%) than weighted averaging. Bagging excels with the highest accuracy (98.49%), specificity (97.3%), and ideal sensitivity (100%) with an AUC of 0.99. Classification models reveal Naive Bayes with higher specificity (97%) but lower sensitivity (91%) than Logistic Regression. Random Forest and Neural Network achieve the highest accuracy (98.49%), with an AUC of 0.98. In deep learning, LSTM has an accuracy of 95.68%, higher specificity (97.60%), and lower sensitivity (93.42%) compared to other models. MLP and NN showed the highest AUC values of 0.99. CONCLUSION: Employing ensemble and deep learning models proved most effective in predicting barriers to nonattendance in cervical screening.

[Relationship between the number of public health nurses and the total number of people receiving home-visit nursing services for mental health/intractable diseases, and those numbers' regional differences].

Objectives　The primary aim of this study was to clarify the relationship between the number of public health nurses (PHNs) and the total number of people who received home-visit nursing services for mental health or intractable diseases. The secondary aim was to clarify the extent of regional differences in the number of PNHs and mental health or intractable diseases.Methods　This study used the total number of people who received home-visit nursing services for mental health or intractable diseases in 2019 from the Portal Site of Official Statistics of Japan (e-Stat) and population and area data in January 2020. Single and multiple regression analyses (covariates: population and area) were performed on the relationship between the number of PHNs per 100,000 population (abbreviated as "ratios of PHNs") and the total number of people who received home-visit nursing services for mental health or intractable diseases per 100,000 population (abbreviated as "mental health/intractable disease achievements"). Regional differences in ratios of PHNs and mental health/intractable disease achievement were examined using mean, standard deviation, maximum/minimum values, and Gini coefficients. Analyses were performed for each of the five units: the prefectures as a whole, prefectural public health centers, municipalities within the jurisdiction of prefectural public health centers, and cities in which public health centers are established (including or not including special wards).Results　Regression analyses indicated a positive relationship between the ratios of PHNs and mental health/intractable disease achievements. Multiple regression analysis indicated that both achievements were positively associated with population size and negatively associated with area size. The largest regression coefficients between the ratios of PHNs and achievements were 34.07 and 5.48 regarding mental health achievements and intractable disease achievements, respectively. For regional differences, the smallest Gini coefficient was the ratios of PHNs, and the largest was intractable disease achievements. The smallest and largest coefficient of the prefectures as a whole was 0.15 and 0.34, respectively. The maximum/minimum values of the prefectures as a whole also indicated that the smallest was 3.8 in the ratio of PHNs and the largest was 30.0 in intractable disease achievement.Conclusions　Increasing number of PHNs is needed to provide more home-visit nursing services for mental health and intractable diseases. It is particularly important to fill up the larger number of PHNs in smaller populations or larger area prefectures. Due to regional differences in the home-visit nursing service, it is important to promote the increase in the level of these activities.

[Understanding public health nurses' experience, knowledge, and perception of bioterrorism training in Japan].

Objectives　Bioterrorism is a disease in which the attacks can be covert and latent, take time to manifest, and, when discovered, can result in large outbreaks. When detected, they can become large-scale outbreaks. Therefore, preparedness is essential for early detection and response for damage mitigation. Although public health nurses (PHNs) of public health centers are responsible for detecting and dealing with bioterrorism, their preparation status is not clear. Therefore, this study aimed to elucidate the status of training experience, knowledge, and awareness of bioterrorism among PHNs working in public health centers' infectious disease control departments in Japan's metropolitan areas.Methods　This was a cross-sectional, descriptive study. The participants were PHNs in the infectious disease control departments of 88 public health centers in Tokyo and its three neighboring prefectures. This are densely populated metropolitan areas with many mass gathering events and a high probability of bioterrorism. An anonymous, self-administered questionnaire survey was conducted by mail in 2019. Two PHNs per location were surveyed regarding their attributes, training experience, knowledge, and perceptions.Results　We received 71 responses (40.3%). A total of 10 (14.1%) PHNs reported having experience with bioterrorism training in the workplace. Regarding the knowledge of the four infectious diseases with a high probability of bioterrorism, more than 95% of the respondents answered they had heard of them. However, few were aware of related treatments or terrorist responses. Although survey respondents were aware of the seriousness of bioterrorism and the effectiveness of preparedness, they did not have sufficient opportunity or time to have training. They tended to be less confident in their response and were willing to have training.Conclusion　PHNs who responded to this survey do not have sufficient training experience, knowledge, opportunities, and time for bioterrorism training, and establishing a training system to improve bioterrorism preparedness is a challenge. It will be necessary for PHN students to learn about the existence of bioterrorism. Further, PHNs in public health centers need to be trained at least once using online services, including brushing up on information as needed. Based on the lessons learned from the coronavirus disease 2019 pandemic, health centers will formulate a Health Crisis Management Plan. This will be effective in fiscal 2024, and we believe that it is essential that preparedness against bioterrorism be a part of this plan.

Japanese public health nurses classified based on empathy and secondary traumatic stress: variable-centered and person-centered approaches.

BACKGROUND: Healthcare providers frequently help traumatized people and are regularly exposed to indirect trauma from their work, resulting in negative psychological responses, such as secondary traumatic stress. Empathy has been associated with patient's quality of care and secondary traumatic stress among healthcare providers. However, the relationship between dispositional empathy and secondary traumatic stress has not been fully elucidated. This study used person- and variable-centered approaches to explore the nature of this relationship. METHODS: A total of 1,006 Japanese public health nurses working in the Tohoku region and Saitama prefecture completed questionnaires that included scales assessing dispositional empathy, secondary traumatic stress, and burnout. First, we examined predictors of secondary traumatic stress using multiple linear regression analysis. Then, we conducted a latent profile analysis to classify participants into unique groups based on four subscales of dispositional empathy (i.e., empathic concern, perspective taking, personal distress, fantasy) and secondary traumatic stress. Finally, we compared the mean values of the study variables across these groups. RESULTS: The multiple regression indicated that in those working in Saitama prefecture, lifetime traumatic experiences, work-related distress, and personal distress were positively related to secondary traumatic stress, but perceived support was negatively related to secondary traumatic stress. Latent profile analysis extracted four unique subgroups. Group 1 displayed the highest secondary traumatic stress levels. Group 2 was characterized by the highest level of empathic concern, personal distress, and fantasy and the lowest perspective taking. Group 3 had a moderate secondary traumatic stress level. Group 4 had the lowest secondary traumatic stress and personal distress scores. In these four groups, the burnout scale (exhaustion, cynicism, and professional efficacy) showed a pattern similar to the secondary traumatic stress scale. CONCLUSIONS: Our person-centered approach showed that this sample of public health nurses could be classified into four unique groups based on their empathy and secondary traumatic stress scores. Although this group of public health nurses was not large, one group displayed high personal distress levels and high secondary traumatic stress levels. Further research is needed to determine effective interventions for this group.

Relationship between changes in the public health nurses' workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan.

BACKGROUND: The role of public health nurses (PHNs) in the community is expected to become increasingly important, along with the promotion of a comprehensive community care system. However, a comprehensive study of all municipalities is yet to be undertaken, and the relationship between the workforce of PHNs and health indicators is yet to be clarified. This study examined the effect of workforce change among PHNs, one of the structural indicators of PHNs' activities regarding changes in the empirical Bayes estimate of standardized mortality ratios (EBSMRs). METHODS: An ecological study was conducted using municipality-level aggregate data. The data used were publicly available Japanese government statistics. The first-difference model of panel data analysis was used to examine the relationship between changes in EBSMR and changes in the number of PHNs per 100,000 population from 2010 to 2015, adjusting for the effects of population and other healthcare resources, including the number of physicians, medical clinics, general hospitals, and welfare facilities. The variation by the 47 prefectures was added to the linear model as a random effect. We also performed a sensitivity analysis using the full Bayesian inference using the Besag-York-Mollie model. RESULTS: For males, EBSMRs for all causes and malignant neoplasms significantly decreased with an increase in the number of PHNs per population (coefficients: -1.00 and -0.89, p values: 0.008 and 0.043, respectively). For females, although all EBSMRs except malignant neoplasms showed decreased tendencies due to the increase in the number of PHNs per population, none of them were significant. The full Bayesian inference confirmed these associations. CONCLUSIONS: An increase in the number of PHNs per population was significantly associated with a greater reduction in deaths from all causes and malignant neoplasms in males. The results of the full Bayesian inference also suggest that the workforce of PHNs may be related to changes in standardized mortality ratios for deaths from all causes in females.

Parents' experiences with public health nursing during the postnatal period: A reflective lifeworld research study.

AIM: To describe mothers' and fathers' experiences with public health nursing and child and family health centre services in the postnatal period, both as a couple and as individuals. METHOD: A phenomenological reflective lifeworld research approach with a descriptive design was chosen. A purposive sample of 10 mothers and 10 fathers were interviewed twice, 1-2 and 6-8 weeks postpartum, using joint and individual interviews. By focusing on being open and flexible, the data were analyzed to elucidate a meaningful structure of the phenomenon. RESULTS: The findings revealed that parents' experiences with public health nurse (PHN) and Child and Family Health Centre (CFHC) services in the postnatal period are characterised by a longing to be seen and confirmed both as unique individuals and as a family by the PHN. Although an increased need for both lay and professional care is prominent during the postnatal period, the parents drew a varied picture of their experiences demonstrating that the CFHC services are focussing almost exclusively on mother and child. CONCLUSION: A public health nurse can contribute to strengthen parenthood and promote the family's health when the focus is on the new baby. Being cared for while learning to care for the baby is pivotal in a phase that involves both joy and vulnerability. This study adds knowledge concerning the importance of both parents being seen and confirmed by the PHN as unique individuals and a family unit in the postnatal period.

How do public health nurses in Norwegian school health services support siblings of children with complex care needs?

AIMS: There is a paucity of data regarding the care and support provided by Norwegian school health services to siblings of children with complex care needs. Public health nurses are an integral part of these universal services, which focus on health promotion and disease prevention in primary and secondary schools. This study aimed to explore health promotion interventions by public health nurses for siblings in Norwegian schools and to identify regional differences. METHODS: An online national questionnaire was distributed to Norwegian public health nurses and leaders of public health nursing services (N = 487). The questions were related to how the nurses support siblings of children with complex care needs. The quantitative data were analysed using descriptive statistics. An inductive thematic analysis of free-text comments was conducted. ETHICAL APPROVAL: The study was approved by the Norwegian Centre for Research Data. RESULTS: The majority of public health nursing leaders (67%) reported that the services in their municipality had no system to identify siblings or to provide them with routine care. However, 26% of public health nurses reported that routine support was provided to siblings. Regional differences were identified. STUDY LIMITATIONS: This study included responses from 487 PHNs from all four health regions in Norway. The study design is limited and gives a brief outline of the current situation. Further data are needed to provide in-depth knowledge. CONCLUSIONS: This survey provides important knowledge for health authorities and professionals working with siblings, about inadequate support and regional differences in care provided to siblings by school health services.

Algorithm development to improve intervention effectiveness for parents with mental health signs and symptoms.

OBJECTIVES: In this study we aimed to describe and compare groups formed by a rules-based algorithm to prospectively identify clients at risk of poor outcomes in order to guide tailored public health nursing (PHN) intervention approaches. DESIGN: Data-driven methods using standardized Omaha System PHN documentation. SAMPLE: Clients ages 13-40 who received PHN home visiting services for both the Caretaking/parenting and Mental health problems (N = 4109). MEASUREMENT: We applied a theory-based algorithm consisting of six rules using existing Omaha System data. We examined the groups formed by the algorithm using standard descriptive, inferential statistics, and Latent Class Analysis. RESULTS: Clients (N = 4109) were 25.1 (SD = 5.9) years old and had an average of 7.3 (SD = 3.2) problems, 250 (SD = 319) total interventions, and 32 (SD = 44) Mental health interventions. Overall outcomes improved after PHN interventions (p < .001 for all) and having more Mental health signs/symptoms was negatively associated with outcome scores (p < .001 for all). CONCLUSIONS: This algorithm may be helpful in identifying high-risk clients during a baseline assessment who may benefit from more intensive mental health interventions. Findings show there is value using the Omaha System for PHN documentation and algorithm clinical decision support development. Future research should focus on algorithm implementation in PHN clinical practice.

Public health nursing workforce and learning needs: A national sample survey analysis.

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.

Career Intention of Baccalaureate Student Nurses: Understanding the Barriers, Enablers, and Predictors Toward Public/Community Health Nursing.

AIM: This study had two aims: to determine initial career intention of nursing students and to assess whether nursing education variables predict career intentions toward public health/community health nursing. BACKGROUND: Nursing graduates are expected to be prepared to work in community settings. However, there is uncertainty in whether students are attracted to these settings and whether nursing education is impactful in shaping career intention. METHOD: A cross-sectional survey targeted baccalaureate and accelerated students across Oregon. Analyses utilized descriptive statistics and multiple regression. RESULTS: Students reported most interest in acute care. Didactic and clinical learning were not related to intention to pursue a public health/community health career. The strongest predictor was career intention when starting nursing school. CONCLUSION: Students enter nursing school with largely fixed intentions. Educators need to develop greater prenursing outreach and understanding of the drivers toward public and community health to build curricula and passion for this area of nursing.

Evaluating Knowledge of Public Health Nursing Competencies in Baccalaureate Nursing Students.

ABSTRACT: Community health workers are projected to grow in number by 17 percent by 2030. A baccalaureate degree in nursing (BSN) provides a foundation for public health nursing practice. The Competencies for Public Health Nursing Practice instrument was distributed to BSN students at a Midwestern university before and after an educational intervention. Students completed a pretest ( n = 269) and posttest ( n = 154). All four subscales and total score indicated a significant increase in competence ( p < .001). There is a need to develop interactive public health nursing simulations with an interprofessional venue to help students improve teamwork and communication competencies.

Public health nursing: Challenges and innovations for health literacy in rural area.

Health literacy is a critical component of public health nursing, particularly in rural areas where access to health services is severely limited. As it relates to quality of care, cost of care, safety of care, and appropriate decision-making in general public health, health literacy can also be seen as an important public policy issue. Several challenges that can be found in rural communities in terms of access to health literacy, such as limited access to healthcare services, limited resources, low literacy rate, cultural and language barriers, financial constraints, and digital divide. Based on these challenges, several innovations can be pursued such as community-based health education, health literacy training among healthcare professionals, digital health technology, partnerships with community-based organizations, health literacy radio programs, and community health ambassadors. This reflection highlights the challenges and innovations that nurses can do to overcome the problem of low-health literacy in rural communities. In the future, the development of community empowerment and technology will be needed to refine the progress made so that a gradual increase in health literacy in rural communities can be seen.

Overcoming barriers and improving public health nursing practice.

Public health nurses (PHN) are critical to ensuring the health of communities. Absent the most basic information on the PHN workforce in our state, we conducted interviews with 21 PHN and school health nurse (SHN) leaders and an online survey of PHNs and SHNs practicing in Maryland (N = 491). Our study identified an older, very experienced, and well-educated workforce. Both the interviews and survey identified similar barriers: low salaries, recruitment and hiring challenges, limited funding for public health programs, and no opportunities for education or career advancement. Survey participants also identified barriers of inadequate leadership, recognition, and communication including PHNs not being represented at decision-making tables or at the state leadership level. Strategies to promote public health nursing from leaders and survey participants were similar: increasing awareness about what public health and PHNs do and their value; improving advocacy and stakeholder engagement; improving access and availability of services; improving PHN leadership representation at the state level; a improving PHN salaries and benefits including tuition reimbursement. Although results were similar to national studies, comprehensive, granular workforce data is critical to ensure the public health workforce can meet current and emerging public health needs and that public health infrastructure and services are appropriately funded.

A crosswalk of foundational BSN population health documents and the AACN essentials.

To guide the development of entry-level nursing education, the American Association of Colleges of Nursing (AACN) published the Essentials document in 2021 with a broadened scope of competencies. Community, population, and public health (CPPH) nurse educators use a number of foundational documents to crosswalk for gaps in the AACN principles, highlighting the need of including these contemporary documents within the baccalaureate CPPH nursing curriculum. In this crosswalk, the authors highlight important capabilities and knowledge exclusive to these fundamental documents and tools, as well as the relevance of these competencies and knowledge to CPPH baccalaureate nursing education.