A Crisis, A Question, A Program: The Story Behind the PRMD Moral Distress Intervention

Published in Healthcare & Nursing

A Crisis, A Question, A Program: The Story Behind the PRMD Moral Distress Intervention
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

Explore the Research

SpringerLink
SpringerLink SpringerLink

An educational program of reducing moral distress (PRMD) in nurses; designing and evaluating - BMC Medical Education

Background Moral distress is common phenomenon that has negative consequences on nurses, patients, and healthcare systems. This study aims to design and evaluate an educational program to reduce moral distress in nurses. Methods This multiphase mixed-method study was done in three stage on February 2021 in Shiraz/Iran. In pre-implementation stage, a content analysis study was conducted on 12 participants were interviewed using purposive sampling and then the program was designed according to qualitative data, panel of expertise and literature review according the seven steps of Ewles and Sminett’s model and implemented in one group on 40 nurses using a quasi-experimental design. In Post-Implementation stage, effectiveness of program was evaluated through quantitative and qualitative methods. Quantitative data were gathered by Hamric’s 21-question moral distress questionnaire analyzed via SPSS v.25 and analysis of variance repeated measures test. Also, a content analysis study was conducted on 6 PRMD participants using purposive sampling. In Program evaluation stage, convergence of quantitative and qualitative data and the effects of the program were examined. Trustworthiness of qualitative data was accomplished by Lincoln and Guba criteria. Results First quantitative study revealed the causes of moral distress consisted of deficiency in professional competency, unsuitable organizational culture, personal factors, environmental and organizational factors, management factors, insufficiencies in proficient and efficient communication and nurses’ observation of moral dilemma. Results of quantitative stage showed that there was a significant difference (p < 0.05) between the mean score of moral distress before, after, 1 and 2 months after the intervention. The participants in secondary qualitative stage, reported increasing their moral knowledge and skills, improving ethical climate, and moral empowerment. Conclusion The use of different educational tools and teaching methods and the participation of managers in designing strategies had a very effective role in the effectiveness of this educational program.

The Story Behind the Paper

During the COVID-19 pandemic, Iranian hospitals—especially psychiatric wards—became arenas of intense ethical tension. Nurses found themselves trapped between knowing the morally right action and being unable to carry it out because of staff shortages, organizational constraints, overwhelming workloads, or conflicting orders. We witnessed skilled and compassionate nurses experiencing guilt, frustration, powerlessness, and emotional exhaustion as ethical dilemmas multiplied around them.

These real-world challenges raised an urgent question for us:
Why do Iranian nurses experience persistent moral distress, and what kind of intervention—rooted in local culture, conditions, and organizational realities—can truly alleviate it?

Through interviews with front-line nurses, we repeatedly heard stories of unfair workload distribution, poor communication across teams, aggressive patient behavior, hierarchical cultures that silenced nurses, and direct exposure to ethically troubling situations. These encounters were the spark that motivated us to design a structured, culturally grounded program to reduce moral distress.


Conceptual Framing—Bringing Theory to Life

Our study drew upon three guiding perspectives:

  • Professional Nursing Ethics: Highlighting how ethical knowledge, moral sensitivity, decision-making skills, and institutional support can strengthen nurses’ moral resilience.

  • Pragmatic Educational Philosophy: Emphasizing that ethics cannot be taught only through lectures; it must be practiced and reflected upon through real cases, storytelling, and interactive learning.

  • A Multidisciplinary Lens: Integrating medical ethics, nursing management, communication science, and program planning to create a multi-layered intervention.

Our premise was clear:
Moral distress is not caused by a single deficit. It is the result of interconnected individual, managerial, organizational, and relational factors. Only a multi-dimensional intervention can meaningfully reduce it.


Methodology – Systematic Design of an Educational Intervention

To explore this complexity and design a suitable solution, we adopted a multiphase mixed-methods design:

  1. Qualitative Phase:
    Interviews with 12 nurses revealed the roots of moral distress—deficient professional competency, inadequate communication, hierarchical organizational culture, high workload, poor task allocation, personal ethical uncertainty, and witnessing moral dilemmas.

  2. Program Design (PRMD):
    Using the Ewles & Simnett Model, we developed an intervention that combined educational, managerial, and environmental strategies. Ethics workshops, case-based discussions, communication training, anger-management sessions, moral storytelling, and virtual learning activities were incorporated.

  3. Program Implementation:
    Forty nurses participated in the 3-month program, which included face-to-face classes, virtual sessions, ethics discussions, managerial meetings, and scenario-based exercises.

  4. Program Evaluation:
    Using a pre-test and repeated post-tests alongside a secondary qualitative phase, we assessed the program’s effects at four intervals.

This structured, evidence-driven process allowed us to design a culturally consistent program grounded in both empirical data and practical realities.


Key Findings—What the Evidence Revealed

  1. A significant reduction in moral distress:
    Quantitative results showed a steady, meaningful decline in the frequency, intensity, and total moral distress scores immediately after the intervention and at one- and two-month follow-ups.

  2. Moral empowerment of nurses:
    Nurses reported improved ethical awareness, stronger decision-making abilities, greater confidence, and a clearer understanding of ethical principles.

  3. Enhanced ethical climate:
    Better workload management, improved task allocation, and greater managerial involvement contributed to a more supportive, fair, and ethical work environment.

  4. Improved communication and teamwork:
    Through discussions, scenario-based learning, and communication training, nurses experienced better interactions with colleagues and patients.

Together, these findings showed that moral distress is not simply an emotional burden—it is shaped by education, culture, management, and workplace structures.


Why This Matters—The Iranian Nursing Lens

Iran’s health system faces chronic nursing shortages, heavy workloads, and hierarchical clinical cultures. Existing international moral distress interventions do not align with local realities: they overlook cultural norms, resource limitations, and ethical expectations specific to Iranian nurses.

Our study is rooted in Iranian nurses’ lived experiences and responds directly to their needs. The PRMD program is one of the first comprehensive, evidence-based, and culturally adapted interventions for reducing moral distress in Iran.


Policy and Practice Implications—Beyond Education

One message is clear:
Moral distress cannot be reduced through education alone. Organizational transformation is essential.

We recommend:

  • Meaningful participation of nurses in clinical and managerial decision-making

  • Establishment of active ethics committees in hospitals

  • Continuous ethics education with real cases and scenarios

  • Redesigning task allocation and workload systems

  • Strengthening interprofessional communication

  • Managerial engagement in creating an ethical climate

These changes can elevate ethical quality, reduce emotional burden, and enhance the well-being of nurses and patients alike.


Why the Timing Matters

Published in 2023, this paper emerged in the aftermath of COVID-19, when nurses had endured unprecedented ethical pressures. The timing is critical: the health system must now rebuild not only its physical capacity but also the moral and psychological resilience of its frontline workforce.


Personal Motivation – A Moral Commitment

For us as researchers, this project was more than an academic endeavor—it was a moral obligation. Iranian nurses navigate complex ethical landscapes with limited support, yet they continue to strive for compassionate and just care. Many shared their pain quietly, without institutional recognition or emotional support.

We felt responsible for amplifying their voices, translating their struggles into evidence, and creating a pathway toward meaningful change.


Conclusion

This study builds bridges between nursing ethics, healthcare management, education, and organizational justice.
We hope it inspires broader conversations and future action towards a workplace where:

no nurse stands alone in ethical distress.
no moral dilemma goes unaddressed.
and ethical practice becomes a shared, supported responsibility.

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Nursing Ethics
Life Sciences > Health Sciences > Nursing > Nursing Ethics
  • BMC Medical Education BMC Medical Education

    This is an open access journal publishing original peer-reviewed research articles in relation to the education and training of healthcare professionals. It welcomes studies on students and professionals across all levels of education; education delivery aspects; and other education-related topics.

Related Collections

With Collections, you can get published faster and increase your visibility.

Nursing education

BMC Medical Education is inviting submissions for a Collection entitled Nursing education. As the complexity of patient care increases, so does the need for well-trained nursing professionals. The landscape of nursing education has been shaped by various factors, including advancements in technology, changes in healthcare delivery systems, and the increasing emphasis on interprofessional collaboration. As such, it is crucial to explore new pedagogical approaches, curriculum innovations, and assessment methods that equip future nurses with the skills and knowledge necessary to thrive in diverse healthcare environments.

The significance of nursing education extends beyond individual career development; it plays a vital role in improving patient outcomes and advancing public health. Recent advancements, such as the integration of simulation-based learning, the use of virtual reality, and the implementation of competency-based education, have transformed the way nursing students are trained. Moreover, there is a growing recognition of the importance of mental health and emotional resilience in nursing practice, which underscores the need for comprehensive education that addresses these critical aspects.

Looking ahead, the ongoing integration of artificial intelligence and data analytics into nursing curricula promises to enhance the decision-making skills of future nurses. Additionally, an increased focus on global health issues and cultural competency in nursing education will prepare graduates to navigate the complexities of healthcare in an interconnected world. These developments hold the potential to not only elevate the standards of nursing education but also to significantly improve healthcare delivery on a global scale.

We welcome original research and perspectives that contribute to a deeper understanding of key topics, including but not limited to:

Simulation-based learning in nursing

Interprofessional education strategies

Incorporating technology in nursing curricula

Mental health training for nursing students

This Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.

Publishing Model: Open Access

Deadline: Dec 22, 2025

Artificial intelligence in curriculum development and assessment

BMC Medical Education welcomes submissions to our Artificial intelligence (AI) in curriculum development and assessment Collection. The incorporation of AI technologies and methodologies into medical and allied health curricula and student assessment is not just a trend, but a crucial step towards improving program effectiveness and producing efficient and professional doctors and allied health professionals. This Collection aims to explore how AI is reshaping medical and allied health curricula, student training, and assessment, as well as the potential implications of these changes on healthcare services and patient wellbeing.

Research on AI in medical education is still in its early stages. However, there has been a marked increase in interest and activity in this area during 2023 and 2024. Still, the majority of existing publications are commentary articles, perspective pieces, letters to the editor, or editorials, rather than original research. This highlights the pressing need for rigorous research and systematic reviews on the application of AI in medical education. Additionally, most contributions come from countries such as the United States, Canada, the United Kingdom, Australia, China, Singapore, Denmark, and Oman. In contrast, there is a significant underrepresentation of research output from regions including North Africa, the Middle East, South-East Asia, and South America.

This new Collection focuses specifically on curriculum development and student assessment, and researchers are encouraged to submit their work for consideration. Continued exploration in this domain has the potential to revolutionize medical education and, ultimately, enhance patient care worldwide. This reflects the transformative power of AI in shaping the future of medical training.

Submissions of innovative research contributing to this goal are invited. The scope of this Collection includes, but is not limited to, the following topics:

• Validity and reliability of AI in curriculum development

• AI applications in student selection and the allocation of medical and allied health graduates into specialties and subspecialties

• The use of AI in developing assessment questions and marking essay questions

• The potential of AI in marking OSCE examinations

• AI applications in providing performance feedback to students

• Critical assessment of AI-performed tasks in curriculum design and in student evaluation

• Validity and accuracy of AI-generated clinical cases

• Utilization of AI in faculty development and continuing medical education

• Students’ use of AI in learning environments

• Critical analysis of AI-generated responses and outputs

• Evaluation of published research on AI’s role in assessment and question design

Contributions are welcomed from a range of disciplines, including healthcare professionals, medical educators, social scientists, and computer scientists. The Collection also seeks submissions from fields such as dentistry, pharmacy, nursing, physiotherapy, occupational therapy, speech pathology, psychology, midwifery, oral therapy, paramedicine, and optometry. The goal is to build a vibrant, interdisciplinary Collection that captures the latest developments and research on AI's impact in curriculum and assessment within medical and allied health education.

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.

This Collection supports and amplifies research related to SDG 4: Quality Education.

Publishing Model: Open Access

Deadline: Mar 02, 2026