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At the intersection of science and theory: How the Nurse Role Integration Model reconciles the conflict.

ABSTRACT: As more nurses embrace precision science, there is a tendency to utilize theoretical frameworks from other disciplines thus, placing nursing at risk of losing its autonomy and independence. The discipline has fallen prey to internal binary opposition, eliminating opportunities to engage in civil discourse. To explore how the roles nurses select might fit together in a theoretical framework and help nurses understand how the roles they choose to support their identity as nurses, this paper introduced a model of nursing that includes the bench scientists, the policy activists, and bedside nurses, using the Neuman Systems Model (NSM). The Nurse Role Integration Model (NRIM) espouses the basic tenets of NSM: prevention counteracts stressors from penetrating the client's lines of defense thus, reducing stress response. Primary prevention reflects the work of the nurse bench scientists, investigating the underlying mechanisms behind pathophysiology; secondary prevention is applied nurse scientists who build upon nurse researchers' work, identifying and testing potential interventions; tertiary prevention is nurse policy activists, the fulcrum, who leverage primary and secondary findings to argue policy change at all levels. Once policy change is adopted, bedside nurses are educated and implement the change. This lens provides an opportunity to create greater solidarity, strengthening the unity and autonomy of the discipline.

SUBMITTER: Casavant SG

PROVIDER: S-EPMC7424153 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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At the intersection of science and theory: How the Nurse Role Integration Model reconciles the conflict.

Casavant Sharon G SG

International journal of nursing sciences 20200612 3

As more nurses embrace precision science, there is a tendency to utilize theoretical frameworks from other disciplines thus, placing nursing at risk of losing its autonomy and independence. The discipline has fallen prey to internal binary opposition, eliminating opportunities to engage in civil discourse. To explore how the roles nurses select might fit together in a theoretical framework and help nurses understand how the roles they choose to support their identity as nurses, this paper introd ...[more]

PMID: 32817862

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Project description:PurposeThe Doctor of Nursing Practice (DNP) programs have grown exponentially for the last 10 years across the United States. However, the intra-professional collaboration among DNP and PhD scholars is not clearly demonstrated in the literature as it relates to frequency, training models, and the outcomes of these collaborations on translation. The purposes of this paper are to: (1) examine the role for DNP nurses in symptom science research and (2) describe training models to cultivate the PhD-DNP collaboration to strengthen the translation of discoveries from nursing research, to facilitate implementation of discoveries, and to improve clinical practice of nurses.MethodsA targeted review of the literature was conducted to identify, (1) the role of the DNP, (2) examples of PhD-DNP collaborations, (3) training models that support collaborations, and (4) the outcomes of these intra-professional collaborations.ResultsTwo articles reported on PhD-DNP collaboration within a university setting; however, they did not address how the partnership was modeled. One additional article described an academic-hospital partnership model aimed at MSN-prepared advanced practice nurses (APRN) by which outcomes were measured. No examples were found outside of academic settings. The National Institute of Nursing Research (NINR) has established the Symptom Science Center (SSC) with an interest in training the next generation of symptom scientists. By developing a training curriculum through the NINR SSC, DNP-prepared students and practitioners can be exposed to the research enterprise and potentially develop early partnerships with PhD-prepared students and scholars that lead to research translation.ConclusionThe NINR Department of Intramural Research (DIR) and National Institutes of Health Clinical Center are dedicated to building stronger ties between PhD- and DNP-prepared scientists. The SSC can serve as an optimal platform to promote the collaboration of PhD and DNP nurses to advance symptom science translation.Clinical relevanceNurses have a remarkable role in early detection of disease progression. Training opportunities to cultivate the PhD-DNP collaboration have significant relevance for expediting the translation of nursing science to nursing practice.

Project description:So far many optimization models based on Nash Bargaining Theory associated with reservoir operation have been developed. Most of them have aimed to provide practical and efficient solutions for water allocation in order to alleviate conflicts among water users. These models can be discussed from two viewpoints: (i) having a discrete nature; and (ii) working on an annual basis. Although discrete dynamic game models provide appropriate reservoir operator policies, their discretization of variables increases the run time and causes dimensionality problems. In this study, two monthly based non-discrete optimization models based on the Nash Bargaining Solution are developed for a reservoir system. In the first model, based on constrained state formulation, the first and second moments (mean and variance) of the state variable (water level in the reservoir) is calculated. Using moment equations as the constraint, the long-term utility of the reservoir manager and water users are optimized. The second model is a dynamic approach structured based on continuous state Markov decision models. The corresponding solution based on the collocation method is structured for a reservoir system. In this model, the reward function is defined based on the Nash Bargaining Solution. Indeed, it is used to yield equilibrium in every proper sub-game, thereby satisfying the Markov perfect equilibrium. Both approaches are applicable for water allocation in arid and semi-arid regions. A case study was carried out at the Zayandeh-Rud river basin located in central Iran to identify the effectiveness of the presented methods. The results are compared with the results of an annual form of dynamic game, a classical stochastic dynamic programming model (e.g. Bayesian Stochastic Dynamic Programming model, BSDP), and a discrete stochastic dynamic game model (PSDNG). By comparing the results of alternative methods, it is shown that both models are capable of tackling conflict issues in water allocation in situations of water scarcity properly. Also, comparing the annual dynamic game models, the presented models result in superior results in practice. Furthermore, unlike discrete dynamic game models, the presented models can significantly reduce the runtime thereby avoiding dimensionality problems.

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At the intersection of science and theory: How the Nurse Role Integration Model reconciles the conflict.

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At the intersection of science and theory: How the Nurse Role Integration Model reconciles the conflict.

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