Interpretive Approach Research Articles

Qualitative Evaluation of the Academic Reflections of Artificial Intelligence Applications in the Fields of Communication and Public Relations

Artificial Intelligence (AI), as in various other fields, is causing significant changes in the fields of communication and public relations by modernizing traditional methods and tools. AI applications, which have evolved with technological advancements, introduce new tools that make communication processes more efficient and effective, enabling both time and resource savings. Notably, comprehensive data analyses and the ability to understand target audience behaviors, along with continuous communication opportunities provided by automated response systems and chatbots, are particularly striking. In this context, the new opportunities that AI brings to the fields of communication and public relations are creating positive impacts in current sectoral practices and are also being reflected in academic studies conducted in the field. This study is a descriptive research aimed at examining academic studies on artificial intelligence in the fields of communication and public relations published in journals included in the Dergi Park system. The sample of the study consists of articles published in the Dergi Park system between 1990 and 2023, identified using the keywords communication-artificial intelligence and public relations-artificial intelligence. Data were analyzed using the MAXQDA20 software. The analysis of the study is based on a systematic and interpretive approach that considers the titles, abstracts, keywords, publication years, publication languages, research methods used, and the authors' fields of study. According to the findings, a total of 32 articles on communication, public relations, and artificial intelligence were identified, and it was determined that the majority of these articles were conducted using a qualitative research approach. The research findings indicate that the number of academic studies published on artificial intelligence has increased over the years, but the total number of published articles remains insufficient. Additionally, among the communication subtopics associated with artificial intelligence, public relations stands out as a diverse and multidimensional field, with the most intensive studies found in the areas of corporate communication, crisis communication, and reputation management, respectively.

Feedback in Linear Programming: Students’ Perceptions at AYO Secondary School of Nkeyema District in the Western Part of Zambia: A Hermeneutic Tactic

Abstract: The foundation of teaching strategies in school environments is feedback. Nonetheless, it needs to be communicated clearly because it is frequently misinterpreted. Due to the negative comments, they gained through their actual internships, students lacked confidence and felt unable to practice their talents. They also felt that receiving comments made it difficult for them to finish their useful exercises. In the western Zambian region of Nkeyema, AYO Secondary School was the site of this investigation. An interpretivist approach was used in an exploratory qualitative design. Eleven (11) secondary school pupils in total and each student was questioned separately. With the participants' consent, all interviews were audio recorded using a digital voice recorder and then verbatim transcriptions were made. After that, qualitative content analysis was used to analyse the data thematically.

Damage source localisation in complex geometries using acoustic emission and acousto-ultrasonic techniques: an experimental study on clear aligners

Passive non-destructive evaluation tools such as acoustic emission (AE) testing and acousto-ultrasonics (AU) approach present a complex problem in damage localisation in complex and nonhomogeneous geometries. A novel AU-guided AE frequency interpretation approach is proposed in this research work which aims at overcoming this limitation. For the experimental evaluation, the damage sources from a geometrically complex clear dental aligners are tested under cyclic compression load and their origins are evaluated. Despite the rapid worldwide diffusion of the clear aligners, their mechanical behaviour is poorly investigated. In this work, the frequency characteristics of the artificially simulated stress wave, generated from different dental positions of the clear aligners, are studied using the AU approach. These frequency characteristics are then used to analyse the AE signals generated by these aligners when subjected to cyclic compressive loading. In addition, the time domain characteristics of the AE signals are studied using their Time of Arrival (ToA). The Akaike Information Criterion (AIC) is used to estimate the ToA. These frequency and time domain characteristics of the AE signals are used to estimate the local damage origin in the clear dental aligners. This will help in identifying localised damage sources during the usage period of the aligners. Experimental results revealed significant damages in the left maxillary premolar and right maxillary third molar of the aligners.

Bridging the Employability Gap: The Vital Soft Skills Needed by HND Graphic Design Graduates in the 21st Century Workforce

Basically, competencies have been a significant matter that affects the growth of economies. From the perspective of the industry, the skills gap has been identified as a lack of the right skills among graduates. This multiple case study adopts the evaluative research to investigate the level of soft skills inherent in the Higher National Diploma (HND) in Graphic Design Programme (GDP) at Takoradi Technical University (TTU). Adopting the interpretive approach, it translated the social perspectives of 30 key stakeholders of the HND GDP gathered through purposive and snowball sampling methods using face-to-face and focus group interaction from Sekondi-Takoradi, Kumasi, Accra and Tema to establish the applicability of the curriculum to the world of work. Utilizing the Career EDGE model by Dacre-Pool and Sewell as a theoretical lens for analysing the data, the result reveals that some key skills are absent in the CAPGD curriculum, thus presenting graduates ill-equipped for the world of work.

Antecedents of Foreign Language Enjoyment (FLE) in the French Classroom

Antecedents of foreign language enjoyment (FLE) are important for practitioners and researchers to understand as FLE has been linked to important concepts like motivation and language achievement. The literature on antecedents is, however, rather scarce and overly dependent on top-down qualitative coding to fully understand this phenomenon. This report seeks to add to the knowledge of sources of FLE by investigating the antecedents of FLE in U.S. learners of French. The present study uses data collected from an open-ended survey and analyzed via an interpretive approach. The survey was sent out to students enrolled in undergraduate French courses at a large Southeastern university and a total of 50 participants responded to the questionnaire out of 183 directly solicited, for a response rate of 27%. The results revealed that content, teacher personality, and a sense of community were sources of FLE, with the sense of community taking the lion’s share of responses. This report argues that this sense of community, which was previously unattested in the literature, can be explained adequately within the second language and positive psychology (L2EPP) theory of emotions. Theoretical implications and future directions are discussed.

Writing Script and Audio Production: Movement to Strengthen Javanese Radio Drama in Yogyakarta, Indonesia

This study aims to gain a deep understanding of the subjective experiences of participants who are directly involved in the strengthening movement to uncover the development of Javanese radio dramas in Yogyakarta. Due to the abstract nature of the data, including people's experiences in drama radio and radio broadcast fields, this study employs the interpretative phenomenological approach (IPA) to explore and understand these experiences. We used IPA to process qualitative data from interviews with nine participants who were actively involved in strengthening Javanese radio dramas. The study's findings indicate that participants' subjective experiences in the reinforcement movement provide an overview of the positive development of Javanese radio dramas. Several actions, such as raising awareness, writing scripts (through workshops and competitions), nurturing talent, producing audio, evaluating, and enhancing the community's role, sparked this development. These actions encourage the manager's optimism about restoring Javanese dramas as an important part of the Javanese people's identity. This research not only helps policymakers re-evaluate local cultural preservation and development programs, but it also opens up space for cultural movers in general to find alternative ways to prevent the degradation of Javanese culture in the digital era.

An exploration of psychological and socio-cultural facets in perinatal distress of Pakistani couples: a triangulated qualitative study

The phenomenon of perinatal distress in terms of depression, anxiety, bipolar, and psychotic disorders is well-explored in the West but barely investigated in South Asia; particularly research evidence highlighting the cultural expression of couples’ mental health with respect to Pakistan is rare. The purpose of this research is to focus on the exploration of psycho-socio-cultural expression of couples’ perinatal distress and coping strategies used in the Pakistani context in relation to maternal and paternal mental health, with implications for the wellbeing of their unborn or born progeny. The research design focused on qualitative interpretative approaches. In data triangulation, reflexive thematic analysis and interpretative phenomenological analyses were applied on the verbatim of the semi-structured interviews conducted with the mental health professionals (n = 9) and the couples (n = 8), screened positive for perinatal distress. Four couples were screened out of 325 perinatal women visiting the gynaecological ward of Aziz Bhatti Shaheed Teaching Hospital, Gujrat. Edinburg Postnatal Depression Scale, Generalized Anxiety Disorder-7 and Washington Early Recognition Center Affectivity and Psychosis Screen are the standardized instruments considered to be used for screening perinatal distress among couples. The Urdu version of WERCAP Screen was developed by a standardized forward-backward translation procedure. The rest of the four couples were purposively selected from the psychiatric ward of the same hospital. The Simplified Negative and Positive Symptoms Interviews were administered to the couples after getting approval for the Urdu version form. All couples were probed with an indigenously developed Structured Clinical Interview Schedule for DSM Disorders based on DSM-5-TR. The triangulation carried out with reflexive thematic analysis and interpretative phenomenological analysis revealed cultural conception of perinatal distress as perceived by the mental health professionals and experienced by the couples during the antenatal and postnatal period of their lives. They were enlightened with a constructive view aimed at promoting transformational change in terms of their mental health care and coping. The implications suggested implementation of a psychotherapeutic intervention for reduction in the level of distress and subsequent enhancement of well-being in couples during the perinatal period.

Communication issues between caregivers and patients with concealment of advanced-stage cancer: A qualitative study.

Communication is a key element of palliative care. The concealment of advanced-stage diseases is a communication challenge. This study aimed to explore the patterns and difficulties in communication regarding the concealment of advanced-stage cancer between caregivers and patients. Methods: This qualitative study employed an interpretive phenomenological approach and was conducted at a district hospital in Thailand. Semi-structured in-depth interviews were performed to collect data from caregivers (i.e. family members) of patients regarding the concealment of advanced-stage cancer. The data analysis followed an inductive thematic approach. Ten in-depth interviews were conducted among the caregivers of patients aged 57-97 years. Four themes emerged: (i) reasons for concealing the diagnosis and prognosis (personality of patients and concerns about negative effects), (ii) communication patterns between caregivers and patients (communicating symptoms/signs instead of the diagnosis/prognosis and distorting information), (iii) difficulties and challenges in maintaining concealment (feelings of guilt, hesitation in sharing the information and suspicion of patients' awareness of their diagnosis/prognosis) and (iv) communication support from healthcare professionals (avoiding informing patients about their diagnosis/prognosis, supporting decision-making and disclosing the information). The concealment of advanced-stage cancer is perceived as an appropriate communication approach among some caregivers. Communicating information about advanced-stage cancer is dynamic. Some caregivers and families consider disclosing the information in the future. Healthcare professionals can support communication throughout care. Future studies should focus on decision-making and communication processes for better handling of information concealment or the conspiracy of silence in palliative care.

The state and the development of business organisations in Benin, ca. 1440–1897

Abstract The focus of this paper is on business organisations in Benin and their interplay with the state from the era of Oba Ewuare up to the fall of the Kingdom in 1897. The paper analyses economic nationalism in the kingdom and the roles in the protection and development of identified business groups during the period. Knowledge of business organisations in pre-British Benin and their relationship with the state, which aided their development between ca. 1440 and 1897 is a vacuum in the study of African business organisations and will be useful in understanding economic nationalism from an African perspective. The study adopts the historical method and requires a multidisciplinary approach for interpretation and reliability. As such, both primary and secondary sources were utilised, and the findings confirm that several business organisations in manufacturing, trading and in large scale crop farming existed. The work provides insights into the entrepreneurs, composition and operations of these businesses. The findings also reveal how trading and industrial activities were controlled and what implications this had for the development of these businesses and the state. The work shows in addition how these businesses benefited from the security and licences granted by the state as well as how the state used these businesses to mount up economic power and political stability.

Evaluation of online teaching modules for PSMA PET interpretation.

The proliferation of US FDA-approved prostate-specific membrane antigen (PSMA)-targeted positron emission tomography (PET) imaging agents as a means to evaluate prostate cancer patients, and the expanding knowledge of interpretive pitfalls, has led to the generation of multiple online training modules geared toward the reading of each individual agent, each taking different approaches to criteria for interpretation, which may contribute to the variability of reporting in clinical practice. The websites of the marketers of each FDA-approved agent [68Ga-PSMA-11 (Illuccix; Telix Pharmaceuticals), 68Ga-PSMA-11 (Locametz; Novartis Pharmaceuticals), 18F-rh-PSMA-7.3 (Posluma; Blue Earth Diagnostics)], and the website of the Society of Nuclear Medicine and Molecular Imaging [18F-DCFPyL (Pylarify)] were examined. All information pertaining to reader training, including videos, PDFs, and PowerPoint presentations, were reviewed. Videos from each module covered interpretive approach and pitfalls and ranged in length from a total of 20 min up to 315 min. Each module provided a different approach to PSMA PET scan findings, and on a different number and breadth of interpretive tips and pitfalls (a total of approximately 12-30 in all). Each of the four PSMA PET reader training modules covered important interpretive pitfalls. The lengths of the video portions of each module varied considerably, suggesting variable investments in time necessary to complete each module. The differences in the modules could contribute to inconsistency among readers depending on which module(s) they may have completed and which radiotracer(s) they are using.

Interpreting the Paris Agreement in its Normative Environment

Abstract International and regional courts are increasingly being asked to determine the rights and responsibilities of states in relation to climate harm. The context for such requests is that the 2015 Paris Agreement, comprising primarily procedural obligations and obligations of conduct, and premised on national determination, appears by itself radically insufficient to resolve the existential climate crisis the planet is facing. This article explores if this is indeed the case and argues that the 2015 Paris Agreement must be interpreted in its ‘normative environment’. The ‘normative environment’ includes the customary international law principle of harm prevention, other treaties, including human rights ones, and a set of principles of varying legal status but considerable operational relevance and guidance. This article examines specific obligations from the 2015 Paris Agreement and seeks to concretize and strengthen them based on this interpretative approach. While such strengthened obligations might yet be insufficient to decisively resolve the climate crisis, these nevertheless reflect a richer account of international legal resolve relating to climate change—one that is premised on an understanding of international law as a seamless web of inter-locking obligations rather than of treaties functioning as atomistic reflections of state consent in that area.

A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost

AbstractThe success of machine learning in real-world use cases has increased its demand in mission-critical applications such as autonomous vehicles, healthcare and medical diagnosis, aviation and flight safety, natural disaster prediction, early warning systems, etc. Adaptive Boosting (AdaBoost) is an ensemble learning method that has gained much traction in such applications. Inherently being a non-interpretable model, the interpretability of the AdaBoost algorithm has been a research topic for many years. Furthermore, most of the research being conducted till now is aimed at explaining AdaBoost using perturbation-based techniques. The paper presents a technique to interpret the AdaBoost algorithm from a data perspective using deletion diagnostics and Cook’s distance. The technique achieves interpretability by detecting the most influential data instances and their impact on the feature importance of the model. This interpretability enables domain experts to accurately modify the significance of specific features in a trained AdaBoost model depending on the data instances. Unlike explaining AdaBoost using perturbation-based techniques, interpreting from a data perspective will enable it to debug data-related biases, errors and to impart the knowledge of the domain experts into the model through domain aware fine-tuning. Experimental studies were conducted with diverse real-world multi-feature datasets to demonstrate interpretability and knowledge integration through domain-aware fine-tuning.

INTERPRETING THE CONDITIONS OF BULLYING IN PHOTOBOOK ENTITLED “BULLY”

This study aims to interpret the conditions of bullying as depicted in the photobook "Bully", exploring the symbolic and aesthetic elements used to represent the psychological and emotional dimensions of bullying. Utilizing a qualitative, interpretative approach, the research employs visual analysis and symbolic interpretation to uncover the deeper meanings conveyed through the photobook's imagery. The analysis focuses on how visual elements such as lighting, composition, and perspective reflect the dynamics of power, fear, isolation, and resilience within the context of bullying. The study is grounded in the Social-Ecological Model and Cognitive-Behavioral Theory, which provide frameworks for understanding the multifaceted nature of bullying and the cognitive distortions experienced by both victims and perpetrators. Results reveal that shadows in the images symbolize the psychological distress and cognitive distortions faced by victims and bullies, while light represents hope, resilience, and the potential for cognitive and emotional recovery. The photobook effectively captures the complex interplay between individual experiences and social influences, illustrating how both victims and bullies are affected by and respond to their environments. The findings underscore the importance of addressing both psychological and social factors in bullying interventions and highlight the photobook's role as a powerful medium for visualizing and understanding these dynamics.

An interpretable machine learning approach for predicting the capacity and failure mode of reinforced concrete columns

During seismic events, reinforced concrete (RC) columns play a crucial role in maintaining buildings’ structural integrity. This motivated engineers and practitioners to search for key parameters that influence the load-carrying capacity and failure mechanisms of such columns. However, the complexity and nonlinearity of seismic effects along with the intricate nature of RC columns as a composite system challenge the capabilities of analytical and empirical approaches to accurately capture the response of RC columns. Subsequently, the present study utilizes Machine Learning (ML) techniques to identify the failure modes and predict the corresponding capacities of RC columns based on both their geometrical and material properties. Decision trees and different ensemble methods were employed to predict both the columns’ failure mode and ultimate capacity. A multivariate dataset consisting of 486 cyclically loaded rectangular and circular columns was used to develop and validate the models. In addition, different embedded variable selection techniques were employed to evaluate the significance of input parameters in predicting the performance of columns. Moreover, partial dependence plots and accumulated local effects were employed to uncover the interrelationships between the input features and the modelled outputs. The developed models yielded an average accuracy of 90% and 95% for predicting the failure mode and ultimate capacity of RC columns, respectively. Given such high accuracy, it can be inferred that, ML techniques have the potential to provide efficient and reliable prediction tools to support seismic design and assessment decisions - mitigating seismic risks and empowering resilience planning in the face of extreme events.

Arisan Dalam Perspektif Akuntansi

This research aims to analyze social gatherings from a accounts receivable accounting perspective, the method in this research is descriptive qualitative interpretive approach. This research will reveal the experiences of research informants regarding social gatherings attended in Padang City. The selection of informants is people who are in the community and have the capability to explain the phenomena they experience. The observation area is determined randomly based on the opportunity the researcher has to carry out observations and interviews and social gathering models that are not found in other areas. Data analysis techniques refers to the Miles, Huberman, and Saldana model. In this research, reduction was carried out simultaneously with data collection so that information was obtained relating to the informant's perspective on arisan activities from a receivables or information perspective. Based on the discussion above, it can be concluded that members' desire to participate in arisan is based on the number of members' desire to save and their awareness of money. collected is closer to recognizing a receivable and if collected early will tend to be considered an investment. Another economic motive is the tendency of some people to use social gatherings as an instrument to obtain investment funds. Some people even use social gatherings as a means of investment by handing over goods or money equivalent to goods with the aim of saving money from the effects of inflation.

Decisions of Women and Society's Elite "Review of Alqur'an Verses (Perspective of Fii Zilalil Qur'an's Interpretation)"

This study aims to explore and analyze the theme of women's deceit and the elite of society presented in the Qur'an, using an interpretive approach from Tafsir Fii Zhilalil Qur'an by Sayyid Qutb. Through this interpretive study, the researcher seeks to understand how the Qur'an describes the character and strategies used by women and the elite of society in the context of deceit, as well as the moral and social implications contained therein. This study uses a qualitative method with a descriptive-analytical approach to examine relevant verses and interpret their meanings in historical, social, and cultural contexts. The results of the study show that the Qur'an acknowledges the existence of women's deceit as a diverse phenomenon, both carried out by women and the elite of society, and teaches humans to recognize and overcome such deceit through wisdom and strong faith.

Exploring machine learning approaches for early diabetes risk prediction: A comprehensive examination of health indicators and models

Background: The increased prevalence of morbidity and mortality associated with Type 2 diabetes is due to changing lifestyles, demanding improved disease management measures. To tackle this, scientists are increasingly looking to technological advances, notably machine learning, for illness prevention and management, particularly in non-communicable diseases. The emphasis is on establishing an early detection system to identify Type 2 diabetes risk factors, enabling prompt treatments and preventative steps to reduce the disease’s rising prevalence. Materials and methods: The research aimed to assess the association of diabetes class with health indicators. Five machine learning models were employed with cross-validation techniques to predict early diabetes risk. The performance matrices of the models were evaluated and compared with the existing work. Results: In multivariate analysis, we found polyuria (β=3.492; Aor=32.872; 95% CI=11.09,97.35; p<0.001), polydipsia (β=-4.100; Aor=60.378; 95%CI=18.28,199.37; p<0.001), polyphagia (β=1.181; Aor=3.25; 95%CI=1.23,8.57; p=0.017), genital thrush (β=1.08; Aor=2.96; 95%CI=1.26,7.53; p=0.023), irritability (β=2.28; Aor=9.82; 95%CI=3.41,28.26; p<0.001), and partial paresis (β=1.2406; Aor=3.45; 95% CI=1.35,8.79; p=0.009) are the potential health risk indicators for positive diabetes class. Conclusion: Using an interpretable feature learning approach for early diabetes prediction improves the use of global health data. This method forecasts hazards correctly and gives insights into influential aspects. As a result, a more proactive healthcare strategy is implemented, allowing for more prompt treatments and encouraging a more hopeful future by improving patient outcomes and lowering the total burden of diabetes on individuals and healthcare systems.

Oncology Healthcare Professionals’ Awareness and Uptake of the Employee Assistance Programme in Three Public Healthcare Facilities in KwaZulu-Natal, South Africa

Institutional psychosocial support services have gained traction, globally, more so within the context of healthcare facilities. This is mainly due to the recognition that institutional psychosocial support services are beneficial to both employees and employers, alike. However, while these institutional psychosocial support services are important, their uptake remains relatively low. With the focus being on the employee assistance programme (EAP), this study aimed to explore the awareness and uptake of institutional psychosocial support services among oncology healthcare professionals (OHPs) in public healthcare facilities in KwaZulu-Natal (KZN), South Africa. Using the interpretative phenomenological approach, the qualitative study was conducted in three public healthcare facilities that offer oncology services in KZN. Semi-structured in-depth interviews were conducted among 31 participants who were OHPs in the three public healthcare facilities. Thematic data analysis produced two main themes and six respective sub-themes. The main themes were awareness of institutional psychosocial support services and low uptake of institutional psychosocial support services, mainly owing to adequate personal support systems, privacy and confidentiality concerns, and stigma. The study findings point to the need for stronger EAPs that are needs-based, promoted regularly, and evaluated, in public healthcare facilities. To encourage service uptake and address privacy, confidentiality and stigma concerns, innovative and non-stigmatising ways of promoting these services are required, including hybrid approaches to the provision of EAP services. The study findings can provide a valuable contribution to the continued development and strengthening of institutional psychosocial support services in public healthcare facilities.

Feature/vector entity retrieval and disambiguation techniques to create a supervised and unsupervised semantic table interpretation approach

Recently, there has been an increasing interest in extracting and annotating tables on the Web. This activity allows the transformation of textual data into machine-readable formats to enable the execution of various artificial intelligence tasks, e.g., semantic search and dataset extension. Semantic Table Interpretation (STI) is the process of annotating elements in a table. The paper explores Semantic Table Interpretation, addressing the challenges of Entity Retrieval and Entity Disambiguation in the context of Knowledge Graphs (KGs). It introduces LamAPI, an Information Retrieval system with string/type-based filtering and s-elBat, an Entity Disambiguation technique that combines heuristic and ML-based approaches. By applying the acquired know-how in the field and extracting algorithms, techniques and components from our previous STI approaches and the state of the art, we have created a new platform capable of annotating any tabular data, ensuring a high level of quality.

“… I carry their stories home …”: experiences of nurses and midwives caring for perinatal adolescent mothers in primary health care settings in Rwanda

IntroductionAdolescent mothers require trauma- and violence-informed care during the perinatal period due to trauma histories and ongoing violence as a result of pregnancy. Nurses and midwives play a critical role in caring for adolescent mothers in primary healthcare settings in Rwanda in the perinatal period.PurposeTo explore the experiences of nurses and midwives working with adolescent mothers in selected primary healthcare settings in Rwanda to inform the delivery of trauma- and violence- informed care.MethodsThis study utilized an interpretive description qualitative approach and was conducted in eight primary healthcare settings in Rwanda. Twelve nurses and midwives working in perinatal services and four heads of health centers participated in in-depth individual interviews. Data were analyzed thematically.ResultsThe analysis revealed four main themes and 11 (sub-themes): (a) relational practice (being creative and flexible, “lending them our ears”); (b) individual challenges of providing care to adolescent mothers (lack of knowledge to provide care related to gender-based violence, and gendered experience); (c) factors contributing to workarounds (inflexible guidelines, lack of protocol and procedures, lack of nurses’ and midwives’ in service training, and the physical structure of the perinatal environment); and (d) vicarious trauma (living the feelings, “I carry their stories home,” and hypervigilance in parenting).ConclusionNurses and midwives find caring for adolescent mothers challenging due to their unique needs. These needs require them to be creative, adaptable, and attentive listeners to better understand their challenges. These practitioners face difficulties such as insufficient specific knowledge related to, for example, gender-based violence, inflexible guidelines, and a lack of protocols and training. Additionally, in the perinatal environment attention to the needs of practitioners in those settings is often lacking, and many nurses and midwives report experiencing vicarious trauma. Consequently, there is a pressing need for guidelines and protocols specifically tailored for the care of adolescent mothers. Ongoing trauma- and violence- informed care training and professional education should be provided to enhance the ability of nurses and midwives to care for adolescent mothers and prevent re-traumatization and mitigate vicarious trauma effectively.