Sequential Method Research Articles

Sense of Community and Recreation Participation of Latinx Residents on the Bloomingdale Trail: Greenway Use in a Gentrifying Community

The goal of this study was to explore how the recreational use of the Bloomingdale Trail, a greenway located in gentrifying communities in Chicago, IL, was associated with a sense of community among long-term Latinx residents living in subsidized affordable housing units. Using a quantitative-dominant sequential mixed methods research design, we conducted surveys and interviews with long-term Latinx residents of three communities surrounding the Trail. The findings showed that higher recreational program participation on the Bloomingdale Trail was positively associated with visitation, sense of community, and improved perceptions of a sense of community compared to before the Trail opened. Also, higher Trail satisfaction was positively associated with sense of community and improved perceptions of a sense of community compared to before the Trail opened. Qualitative data were used to explain and elaborate on these findings.

Improving Primary Students' Reading Engagement and Critical Literacy through Interactive Read-Aloud

This study explores reading activity using the Interactive Read-aloud approach to foster students' reading engagement and critical literacy. It also examines teachers' strategies to make interactions easier in an EFL classroom. In order to address the research problems, an exploratory sequential mix method was used, which included classroom observation, written papers, and an experiment in the classroom. The result of the study revealed that several strategies in applying critical literacy during interactive read-aloud were identified: juxtaposition, problem-solving, bookmark technique, say something, connection stem, switching and thinking hats. The test score of the experimental group has shown significant improvement from using the Interactive read-aloud approach, from 71.47 on the pretest to 87.47 on the posttest. The students also expressed varied enthusiasm and agreement regarding the benefits and enjoyment of Interactive Read-aloud. It is hoped that the practice of Interactive read-aloud can be widely used by teachers, parents, or educational practitioners to engage students in reading, enhance their motivation, and foster their critical literacy.

Optimization of ride-sharing services: An investigation of the ride-hailing service providers

This study investigates the optimization of ride-sharing services (RSS) on the ride-hailing service (RHS) providers in Bangladesh. This study employed an explanatory sequential mixed method research design- a qualitative study followed by a quantitative one. Qualitative data were collected through focus group discussions and in-depth interviews with twenty (20) riders and drivers in Bangladesh, and quantitative data were collected from 300 respondents consisting of riders and drivers using a convenience sampling technique. Factor analysis and hierarchical cluster analysis were applied to the data analysis. The qualitative analysis reveals several significant factors associated with RSS and RHS, including cost efficiency, fare, fuel consumption, traffic congestion, carbon emissions, environmental pollution, employment opportunities, business growth, and security. The quantitative results indicate that using RSS is associated with more significant benefits than RHS in various aspects, including cost efficiency, fare, fuel consumption, traffic congestion, carbon emissions, environmental pollution, employment opportunities, and expansion of the automobile industry. The findings may assist policymakers in understanding how RSS can yield more incredible economic, environmental, and social benefits than RHS by analyzing fare sharing among passengers, carbon emissions, fuel consumption, and the expansion of the vehicle markets etc. Therefore, the government can formulate distinct policies for RSS holders due to their contributions to economic, social, and environmental concerns. While RHS services are available in many cities in Bangladesh, this study considered only Dhaka and Sylhet cities. Thus, future studies can consider more respondents from other cities for a holistic understanding.

How does Learning Differentiate with The Socio-Scientific Issue (SSI) Climate Change Improving Environmental Literacy?

Climate change is a complex global problem that requires understanding and action from students. Natural and Social Sciences projects can integrate climate change learning with social and scientific contexts. The preliminary study show that students do not yet have the environmental literacy skills needed to support science and technology projects learning. It also shows that students have difficulty understanding the concept of climate change and its implications for the environment. This research aims to determine the effect of differentiated learning with SSI to increase students ' understanding of climate change. The research method used is mixed methods research using the Exploratory Sequential Mixed Methods Design method. The research results show that implementing climate change differentiation learning with SSI can improve students ' environmental literacy skills. The results of the one-way ANOVA test have a significance value less than 0.05, where there is an increase after implementing differentiation learning. The findings of this research can integrate climate change learning with social and scientific contexts. SSI can help students understand complex issues that have significant social and scientific impact. This can motivate students to take action to overcome problems as an aspect of environmental literacy skills.

Examining the Impact of PBIS Experience on MTSS Implementation in Secondary Schools: A Mixed Methods Study

This sequential explanatory mixed methods study with a complementarity rationale examined the differential experiences of MTSS implementation in three Positive Behavior Interventions and Supports (PBIS)-implementing and three non-implementing secondary schools in the Midwestern United States. Using a survey and follow-up interviews with a sample of 25 secondary school leadership team (SLT) members, this study sought to understand (1) their beliefs and attitudes toward MTSS prior to implementation and (2) unique barriers and facilitators to MTSS implementation in secondary education following initial MTSS implementation. Overall, the results of this study indicated that generally, SLT members had positive beliefs and attitudes toward MTSS prior to implementation which were maintained a year later at follow-up. Additionally, several differential barriers and facilitators to implementation emerged between PBIS and non-PBIS schools, though shared barriers and facilitators were also evident. Lastly, experience with PBIS differentially impacted the experiences of SLT members from PBIS and non-PBIS schools. Implications for secondary school practitioners, schools, and local educational agencies are discussed.

The Examination of the Counseling Supervision Effect on Personal and Professional Development of First-Time Supervisees

The study investigated how clinical supervision affects the personal and professional development of first-time supervisees. The explanatory sequential mixed methods research design was employed in the study. Quantitative data was collected using a single group pretest-posttest experimental design to evaluate the impact of supervision on the personal and professional development of counselors in training. Individual interviews were conducted with 51 volunteer participants who were counselors in training at a state university in western Türkiye. Paired-sample t-tests were used to analyze the quantitative data, while content analysis was employed for the qualitative data. The findings showed that supervision significantly enhanced the counselors in training's effective counselor characteristics and self-awareness management strategies. However, there were no significant differences in hindering self-awareness and professional disposition. The qualitative analysis revealed that counselors in training who participated in supervision gained a deeper understanding of counseling procedures and techniques, increased trust in the profession, and improved self-efficacy. Counselors in training also highlighted the positive impact of their supervisor and group supervision format on their development. The results of the study suggest the significance of supervision in counselor education. It is recommended that the variables included in the current research and the effect of supervision should be examined in more studies.

Recovery and partial isolation of ⍺-mangostin from mangosteen pericarpsvia sequential extraction and precipitation.

This study introduced an innovative sequential extraction methodology designed for the efficient recovery of alpha-mangostin (⍺-M) from mangosteen pericarps. Alpha-mangostin, renowned for its pharmacological properties including anti-inflammatory, anti-cancer, and anti-bacterial effects, has garnered significant attention across diverse industries. The proposed method of sequential extraction achieved 73% recovery and a yield of 46.75 mg/g based on the weight/weight percentage of the mass of ⍺-M extracted from the sequence and the mass of raw material. Furthermore, the purity of the dried product was 67.9%. The sequence solvent extraction system, comprising water, hexane, and acetonitrile, plays a pivotal role in enhancing the efficacy of the extraction process. Notably, this methodology offers a cost-effective alternative to conventional extraction methods. It reduces the need for complex equipment and processes, positioning it as a resource-efficient extraction technique in comparison to existing methodologies. This novel sequential extraction method presents a promising avenue for the economical and sustainable recovery of alpha-mangostin (⍺-M) from pericarps.

Comparison of ANN and XGBoost surrogate models trained on small numbers of building energy simulations.

Surrogate optimisation holds a big promise for building energy optimisation studies due to its goal to replace the use of lengthy building energy simulations within an optimisation step with expendable local surrogate models that can quickly predict simulation results. To be useful for such purpose, it should be possible to quickly train precise surrogate models from a small number of simulation results (10-100) obtained from appropriately sampled points in the desired part of the design space. Two sampling methods and two machine learning models are compared here. Latin hypercube sampling (LHS), widely accepted in building energy community, is compared to an exploratory Monte Carlo-based sequential design method mc-intersite-proj-th (MIPT). Artificial neural networks (ANN), also widely accepted in building energy community, are compared to gradient-boosted tree ensembles (XGBoost), model of choice in many machine learning competitions. In order to get a better understanding of the behaviour of these two sampling methods and two machine learning models, we compare their predictions against a large set of generated synthetic data. For this purpose, a simple case study of an office cell model with a single window and a fixed overhang, whose main input parameters are overhang depth and height, while climate type, presence of obstacles, orientation and heating and cooling set points are additional input parameters, was extensively simulated with EnergyPlus, to form a large underlying dataset of 729,000 simulation results. Expendable local surrogate models for predicting simulated heating, cooling and lighting loads and equivalent primary energy needs of the office cell were trained using both LHS and MIPT and both ANN and XGBoost for several main hyperparameter choices. Results show that XGBoost models are more precise than ANN models, and that for both machine learning models, the use of MIPT sampling leads to more precise surrogates than LHS.

Effect of different doses of esketamine on the median effective concentration of propofol for inhibiting body movement during hysteroscopy

The objective of this study is to investigate the effects of various doses of esketamine on the median effective concentration (EC50) of propofol required for inhibiting body movement during hysteroscopy. Additionally, this research aims to explore the pharmacodynamic interactions between esketamine and propofol. Prospective, double-blind, up-down sequential allocation study. Operating room, post-anesthesia care unit (PACU), and general ward. A total of 90 patients were allocated into three groups in a randomized, double-blinded manner as follows: 0.1 mg/kg esketamine combined with propofol intravenous injection (EP0.1) group, 0.2 mg/kg esketamine combined with propofol intravenous injection (EP0.2) group, 0.3 mg/kg esketamine combined with propofol of intravenous injection (EP0.3) group. For the initial patient in each group, the starting effector target concentration of propofol was set at 4 µg/ml. Each patient received an initial intravenous injection of 0.04 mg/kg midazolam, followed by the administration of the appropriate dose of esketamine. Ten seconds after the esketamine injection, propofol was administered intravenously to achieve the target concentration. In accordance with the sequential method principle, the concentration of propofol for the subsequent patient was adjusted based on the response of the previous patient. Effective inhibition of body movement was defined as the absence of any involuntary body movements throughout the entire surgical process. If the previous patient exhibited body movements, the propofol concentration for the next patient was increased by 0.5 µg/ml; conversely, if no movements were observed, it was decreased by 0.5 µg/ml. The up-down sequential allocation method and probit regression were used to calculate the EC50 of propofol. Hospital Anxiety and Depression Scale-Anxiety (HADS-A) and Depression (HADS-D) score, adverse events, hemodynamic changes, demographic data and clinical characteristics. The EC50 of propofol was 3.849 μg/ml (95% CI: 3.419–4.281) in the EP0.1 group, 3.641 μg/ml (95% CI: 2.807−4.200) in the EP0.2 group, and 3.417 μg/ml (95% CI: 2.845–3.852) in the EP0.3 group. These findings suggest that esketamine can dose-dependently reduce the EC50 of propofol. Esketamine can dose-dependently reduce the EC50 of propofol in hysteroscopy, while concurrently lowering patients’ HADS-A and HADS-D scores 24 h post-operation. It is concluded that the optimal dose of esketamine, when combined with propofol for hysteroscopy, is 0.3 mg/kg.

Research on the evaluation method for safety cognitive ability of workers in high-risk construction positions

PurposeSafety cognitive ability is a key factor influencing unsafe behavior. However, the existing achievements have not yet involved the division of the hierarchical relationship of factors influencing safety cognition and lack a quantitative evaluation system of safety cognitive ability. The purpose of this paper is to find out the deficiencies in the safety cognition of workers in high-risk construction positions and to provide practical suggestions for improving their safety cognitive ability and reducing unsafe behavior.Design/methodology/approachBased on the iceberg model, the factors influencing the safety cognitive ability of workers in high-risk construction positions and their hierarchical relationship were determined, and an evaluation index system consisting of four primary indicators and 20 secondary indicators was constructed. The game theory algorithm was used to optimize the subjective and objective weights of the indicators calculated by the sequential analysis method (G1) and the entropy weighting method (EWM) to obtain the optimal combination weight value. The Matlab software was used for cloud mapping and similarity calculation to determine the safety cognitive ability level of the object to be evaluated.FindingsThe research results indicate that the comprehensive level of safety cognitive ability of scaffolders in this construction project is at “Level III”, the fundamental factors and compliance factors are at “Level IV”, the auxiliary factors and driving factors are at “Level III”. This conclusion aligns with the situation learned from the previous field investigation, which validates the feasibility and scientificity of the proposed evaluation method.Research limitations/implicationsConsidering that the safety cognitive ability of construction workers is constantly changing, this study has not yet delved into the specific impacts of various influencing factors on the level of safety cognitive ability. Future research can utilize simulation software, such as MATLAB and Vensim, to construct dynamic simulation models that accurately simulate the changing rules of construction workers’ safety cognitive ability under the influence of different factors.Practical implicationsThis research broadens the application scope of the iceberg model, enriches the analysis model of the factors influencing the safety cognitive ability of workers in high-risk construction positions and provides a novel perspective for similar research. The safety cognitive ability evaluation method proposed in this paper can not only accurately evaluate the safety cognitive ability level of workers in high-risk positions such as scaffolders but also provide practical suggestions for improving the safety cognitive ability of workers, which is of great significance to improve the safety management level and reduce unsafe behavior in the construction field.Originality/valueThis research fills the research gap of workers in high-risk construction positions and the quantification of safety cognitive ability. The iceberg model is used to realize the hierarchical division of the factors influencing safety cognitive ability. Additionally, an evaluation method for the safety cognitive ability of workers in high-risk construction positions based on the game theory combination weighting method and cloud model is proposed, which realizes the quantitative evaluation of safety cognitive ability.

A Task-driven Adversarial Channel Selection Method for Binary Classification Based on Magnetocardiography.

As the number of sensors in magnetocardiography (MCG) arrays increases to capture detailed cardiac activity, some channels contribute minimally to task performance, resulting in data redundancy and resource consumption. Although existing methods can reduce the number of channels required to meet task demands, they often struggle to balance computational time and the accuracy of the selected channels and overlook the scalability of the selected channels. This limitation means that when environmental conditions change, or when sensors malfunction, redesigning channel configurations becomes necessary, which increases experimental uncertainties. This study introduces a task-driven adversarial channel selection method tailored for binary classification of MCG signals. The optimal channel combination is determined through a group-wise search using a heuristic algorithm, whose objective function is designed to maximize the difference between the classification accuracy and cosine similarity of the selected channel. In evaluations using an MCG dataset from Qilu Hospital of Shandong University, the proposed method successfully reduced the number of channels from 36 to 5 without compromising classification performance. Furthermore, it outperforms existing hybrid sequential forward search method by achieving comparable accuracy with fewer channels, while also demonstrating superior scalability compared to both hybrid sequential forward search and pearson-rank methods. This approach strikes a balance between computational consumption and accuracy, while improving the scalability of the selected channel combinations, enhancing the efficiency and practicality of the MCG system.

Understanding evidence ecosystems: What influences the production, translation, and use of modeled evidence in Burkina Faso, Nigeria, India, and Kenya?

Background This study sought to document and understand facilitators and barriers to producing, translating, and using modeled evidence in decision-making in Burkina Faso, Nigeria, India, and Kenya. We explored researcher-decision-maker engagement mechanisms as key facilitators of evidence use, with a focus on knowledge brokers and boundary organizations. Methods The study used sequential mixed methods drawing on data collected from surveys and key informant interviews, complemented by a rapid desk review to map modeling activities and actors. The survey was conducted online while the qualitative research entailed in-depth interviews with modelers, knowledge brokers, and decision-makers working in a representative variety of health fields, organizations, and levels of government. This study was approved by Health Media Lab IRB (Institutional Review Board) in the United States and a local IRB in each study country and conducted between September 2021 and June 2022. Results Informants interviewed for this study described a range of factors that facilitate and inhibit the use of modeled evidence in public health decision-making at the individual, organizational, and environmental levels. Key themes included the capacity to produce, translate, and use modeled evidence; the timing and relevance of modeling outputs; the existence of communications channels between modelers and decision-makers; the strength of underlying data systems; the role of sustained funding; and the impact of global crises. Conclusion This study highlights the importance of taking an ecosystem approach to supporting modeling activities, considering individual, organizational, and environmental factors and how different actors and interact to inform the production, translation, and use of modeled evidence. Structured interaction that promotes dialogue, debate, and joint sense making between the producers and users of evidence is critical to informing and influencing the use of evidence in decision-making.

Nurses’ implementation of evidence based practice in nursing process and its associated factors in South Wollo Zone public hospitals, Northeast Ethiopia: a mixed method study

BackgroundEvidence-based practice is clinical decision-making using the best evidence available in the context of individual patients’ preferences and clinical expertise. It is serving as a crucial instrument for the health science disciplines to minimize the theory-practice gap although the level of practice is unknown. Thus, this study aimed to assess nurses’ implementation of evidence-based practice in nursing process and its associated factors in South Wollo Zone Public Hospitals.MethodsAn explanatory sequential mixed method was employed from April 1 to May 29, 2023, among 419 nurses for the quantitative part and 15 others for the qualitative part. The data were collected using structured, pretested, self-administered questionnaires. Simple random and purposive sampling techniques were used to select participants for the quantitative and qualitative studies, respectively. The bivariable analysis was done primarily, and variables with a p-value < 0.25 were further examined using a multivariable logistic regression model to control con-founders. Then, variables having a p-value less than 0.05 with a 95% CI were used to declare significantly associated factors. The key informants were interviewed using pre-made interview guidelines, and then open code software was utilized to conduct a thematic analysis.ResultNurses who had poor implementation of evidence-based practice in the nursing process were 228 [54.42%; 95% CI: (49.8–59.3)]. Similarly, the key informants concluded that the implementation of evidence-based practice in the nursing process was low. Participants who were 31– 40 years old [AOR = 0.61, 95% CI: (0.38–0.99)], 41–50 years [AOR = 0.32, 95% CI: (0.15–0.65)], working at general hospitals [AOR = 3.37, 95% CI: (1.39–8.18)] and comprehensive specialized hospitals [AOR = 7.29, 95% CI: (3.06 − 17.31)], lack of training about evidence-based practice (AOR = 2.50, 95% CI: (1.36–4.56)], and lack of internet access [AOR = 2.46, 95% CI: (1.43–4.23)] were factors associated with poor levels of nurses’ implementation of evidence-based practice in the nursing process. The absence of computers, libraries, and updated guidelines were other factors identified on the quality analysis.ConclusionNurses’ implementation of evidence-based practice in the nursing process was low. Age, working in general hospitals, and comprehensive and specialized hospitals, lack of training, and internet access were factors that had significant associations. Hence, hospital managers should give an attention to internet access and training about utilization of evidence-based practice in nursing process, particularly for those aged above thirty years old.

No Backstage: The Relentless Emotional Management of Acute Nursing Through the COVID-19 Pandemic.

To explore the impact of the COVID-19 pandemic on nurse's well-being, experiences of delivering healthcare within acute settings and their emotional management. Sequential mixed methods. February to July 2021 an online well-being survey was disseminated to nurses working in acute settings within one Scottish health board. In-depth interviews with a purposive sample of respondents were conducted. Survey data were analysed descriptively, and interview data using Framework analysis and emotional management as the theoretical framework. Well-being was poor overall. Infection control measures impeded interactions, with loss of connection between patients, families and nurses. Emotional work was extended in caring for patients and families when visits were forbidden or restricted. Disconnect between colleagues was intensely felt. On COVID and non-COVID wards, nurses were caring for patients with a significantly reduced workforce and often outside their clinical speciality. Nurses masked their own anxieties, fears, moral distress and exhaustion on the ward. Communal 'backstage' spaces, were reduced to enable more infection-control space but reduced opportunity for collegial support. Formal psychological intervention required access after shift, and/or nurses feared they could not contain their emotions afterwards. Working during the pandemic was emotionally and physically demanding for those in COVID a.nd non-COVID wards. Unintended consequences of infection control measures significantly extended nurses' emotional management, by caring for isolated patients and families but impeding opportunities to care for each other, compounding their emotions. There is a need to value emotional work in nursing to better support mental well-being. We advance the nursing emotional management literature by addressing the gap of exploration in challenging conditions. The importance of emotional management on nurses' mental well-being has been overlooked but focusing on this in the next crisis could improve nurse's well-being. No patient or public contribution. GRAMMS.

What can we learn from pandemic educational methods?: military general practice trainees’ attitudes to feedback from recorded consultations

ABSTRACT Background Recorded consultations are a useful tool for developing consultation skills for general practice speciality trainees (GPSTs). Historical barriers to utility include a lack of recording equipment and trainee discomfort. Widespread use of online communication platforms during the pandemic led to the introduction of the Recorded Consultation Assessment (RCA), prompting an exploration of its impact on GPSTs’ attitudes and acceptability of using recorded consultations for feedback. Aim This sequential explanatory mixed methods study explored attitudes of military GPSTs towards using recorded consultations for feedback to develop consultation skills, and identify factors influencing GPST attitudes. Methods Participants of this study completed a questionnaire, followed by a representative sample focus group. Descriptive statistics were used to analyse quantitative data, reflexive thematic analysis was employed for qualitative data. Triangulation was conducted using a meta-matrix. Results Results indicated agreement among respondents on the usefulness of recorded consultations for developing consultation skills, particularly communication skills. Perceived trainer attitudes significantly influence the GPST utility of this tool. The RCA positively impacted attitudes, providing familiarity, free access to easy-to-use online recording platforms, simplified consenting procedures, secure data storage, and improved feedback quality from trainers. Conclusion Pre-pandemic studies cited equipment access and consent procedures as barriers to utilising recording as a method of feedback. The pandemic and RCA introduced online resources and imperative to utilise this method, resulting in largely positive GPST learning experiences. As we move away from the RCA it is important to retain institutional memory of the benefits gained from feedback using recorded methods.

The MINT Program: A Mixed-Method Approach to Identifying Nature-Based Resources to Promote Adolescent Parent Social and Psychological Well-Being.

Adolescent parents are at an increased risk for loneliness and mental health challenges compared to childless peers. Nature-based interventions are shown to promote social connectedness. To identify elements of a nature-based intervention to reduce loneliness and foster nature connection among pregnant and parenting adolescents. Sequential exploratory mixed methods. In 2020 and 2021, we piloted the 8-week MINT program at a school for pregnant and parenting teens. Our qualitative approach (n = 17) included online and in-person group meetings with nature-based educational content, discussion, park excursions, mindfulness activities, journaling and nature photography. Subsequently, we recruited 131 young mothers at a children's hospital for a cross-sectional survey based on qualitative school findings. Qualitative results from the school-based intervention showed a preference for meditative and contemplative activities and for spending time in nature with extended family. Participants typically accessed nature close to home. Our clinic-based teen parent survey illustrated that participants' access to nature were most limited by lack of time (25% of responses), company (18%) and energy (28%). While participants showed a close nature connection (mean NR-6 score = 3.9 (SD = 0.84)), they also showed moderate levels of loneliness (mean UCLA Loneliness score = 4.78 (SD = 1.60)). Walking, hiking and/or running were the most preferred nature activity. These findings provide key details to define nature-based activities to address loneliness and psychological well-being among teen mothers. Nature-based health interventions can address loneliness and nature disconnection by building community resilience, improving provider and patient well-being and motivating environmental stewardship. We identify key features of a nature-based intervention for adolescent mothers. These findings support teen mothers in the US and abroad and may serve as a foundation for using nature-based solutions for vulnerable mothers and for adolescents facing loneliness and mental health challenges. No patient or public contribution.

Dual Additive‐Assisted Layer‐by‐Layer Processing for 19.59% Efficiency Quasi‐Bulk Heterojunction Organic Solar Cells

AbstractThe ideal vertical phase separation active layer morphology is crucial for the photoelectric conversion of organic solar cells. In this work, a layer‐by‐layer sequential deposition method is used to prepare D18/L8‐BO‐based organic solar cells and a dual additives strategy is adopted to construct the ideal active layer. Additive DIM regulates the crystallization of the D18 layer, and additive DIO induces L8‐BO to diffuse into the interior of the D18 layer to form a vertical composition distribution with large donor/acceptor interpenetrated regions. The improvement of active layer induced by DIM and DIO dual additives promote exciton generation and dissociation, shorten charge transfer distance, and improve carrier dynamics. With improved charge transport performance and suppressed carrier recombination, the short‐circuit current density and fill factor of the D18/L8‐BO quasi‐bulk heterojunction organic solar cells are improved simultaneously, and the power conversion efficiency is boosted significantly from 18.21% to 19.59%. Moreover, the improved photovoltaic performance is further verified in D18/Y6 and PM6/L8‐BO‐based organic solar cells, which implies the generalizability of the dual additive‐assisted layer‐by‐layer ‐sequential deposition method.

Young Black Women's Breast Cancer Knowledge and Beliefs: A Sequential Explanatory Mixed MethodsStudy.

Black women under the age of 50 have a 111% higher breast cancer mortality rate than their White counterparts. The breast cancer mortality disparities among young Black women may be due in part to the fact that they are more likely to be diagnosed with late-stage, invasive breast cancer tumors. Psychosocial factors, such as lack of perceived risk for breast cancer, lack of awareness of breast cancer risk factors, and ambiguity about breast cancer screening guidelines are areas that are under investigated among young Black women. The purpose of this study was to identify young Black women's cancer beliefs and level of breast cancer risk knowledge. A sequential explanatory mixed methods study was conducted using quantitative data from the Health Information Trends Survey 6 (HINTS 6) (n = 25) and qualitative data from interviews with young Black female college students (n = 13). The results of the quantitative data analysis were used to guide the development of the qualitative interview guide. Data regarding participants' cancer beliefs, cancer risk factor knowledge, perceived cancer risk, and ambiguity about cancer screening behaviors were analyzed. The findings indicated young Black women have low perceived risk of developing cancer. Most participants were not aware of cancer recommendations that were targeted towards women under the age of 40. In addition, knowledge about lifestyle behavior risk factors for breast cancer was relatively low. Our findings underscore the importance of developing, disseminating, and implementing breast cancer education interventions that are targeted towards young Black women.

The enhancement of teacher immunity in a professional development course: Contributions from supervisory observation and the observer

Classroom observation has been reported to be stressful for language teachers since it can disrupt the equilibrium and push the teachers towards maladaptive language teacher immunity. The present study is an attempt to shed light on the way classroom observation and a professional development (PD) course on classroom observation contribute to language teacher immunity development through self-organization lens. To this end, the researchers in the current study designed an explanatory sequential mixed method study and 13 novice language teachers were invited to fill language teacher immunity scale before and after a professional development course. The qualitative data were collected through narrative frames and semi-structured interviews. The findings revealed that the immunity level of the students differed significantly before and after the intervention. The findings accentuate the importance of in-service programs in reforming the teachers’ narratives of classroom observations and enabling them to transform classroom observations from threats to opportunities.

Work-related factors affecting mental well-being of young construction workers in South Australia

PurposeMany work-related factors particularly affect the mental well-being of young construction workers and subsequently affect their productivity at work. Young construction workers in South Australia are more vulnerable than other workers because they consider the distress arising from work-related factors to be part of adapting to a new work life. Therefore, this study seeks to draw out the work-related factors that affect the mental well-being of young construction workers.Design/methodology/approachThe study employed a sequential mixed method approach including a preliminary qualitative case study and a quantitative survey. Around 20 interviews across two organisations were conducted in the initial case study and content analysis was used to contextualise the factors and identify new factors. Then, the outcome of the case study was fed into a questionnaire survey for further analysis. The survey received 43 valid responses. Principal component analysis (PCA) was performed on the survey outcome to assess and categorise the work-related factors.FindingsThe findings indicate ten prominent work-related factors contributing to poor mental well-being of young construction workers related to three main categories of factors, namely “nature of work”, “task-related stress” and “unsupportive behaviour”. The work-related factors that have the greatest impact on mental well-being are the machoism culture of industry, work overload and workplace bullying.Originality/valueThe outcome from this study enhances the understanding of key work-related factors affecting the mental well-being of young construction workers. Research findings would also help inform the development of clear, industry-informed initiatives tailored to protect and support young construction workers.