Qualitative Data Analysis Software Research Articles

Overview of the Medical Waste Management System by Health Human Resources (SDK) at the Putri Ayu Public Health Center, Jambi City in 2024

According to the Jambi City Health Service Profile in 2021-2022, Putri Ayu Health Center is one of the inpatient health centers in Jambi City which is also acontributes the largest amount of medical waste with the amount of waste is 615 kg out of a total of 7804.1 kg of medical waste from health centers in Jambi City, so it has the potential to spread disease if medical waste is not managed properly. This research uses qualitative research methods with a descriptive approach. Data was obtained from 8 informants by conducting in-depth interviews and observations in May 2023 - April 2024 using qualitative research data analysis software. In the input aspect (1) Human Resources in the quantity aspect are sufficient, while the qualifications are not appropriate because they come from general administration. (2) Facilities and infrastructure are not sufficient and if there is damage, goods will be procured and reported to envinronmental health authority. Meanwhile, in the process aspect (3) Sorting is carried out by each waste producing poly unit by labeling the type of waste, date and poly, (4) The container used at the Putri Ayu Public Health Center meets the standards of Minister of Health Regulation Number 18 of 2020 (5) Transportation is carried out more than once every 2 days by PT Anggrek (6). Storage is carried out at TPS with a time span of 2-3 days at the latest. There are still input aspects that do not comply with standards (in the case of this research, namely the quality of human resources) causing disruption to process aspects, such as less than optimal management performance in managing medical waste in the container, transport and storage processes.

Incorporating Technology Adoption in Medical Education: A Qualitative Study of Medical Students' Perspectives.

The integration of technology into medical education has witnessed significant growth in recent years, with tools such as virtual reality, artificial intelligence, and telemedicine gaining prominence. These tool in medical education, offering immersive, experiential learning experiences. We approached medical students currently enrolled in medical education programs and who are familiar with and actively use AI in medical education. Initially, we invited 21 random students to participate in the study; however, only 13 agreed to interviews. Some students cited their busy exam schedules as the reason for not participating. The participants were informed of the objective of the study before the commencement of the recorded interviews. Semi-structured interviews were used to guide the record interviews. Audio recordings were transcribed and analyzed using Atlas.ti, a qualitative data analysis software. Participants exhibited a diverse range of perceptions and levels of awareness regarding VR, AI, and telemedicine technologies. Learning with virtual reality was considered to be fun, memorable, inclusive, and engaging by participants. The use of virtual reality technology is seen as complementing current teaching and learning approaches, helping to build learners' confidence, as well as providing medical students with a safe environment for problem-solving and trial-and-error learning. The students reported that AI was seen as a potential game-changer in the healthcare sector. Participants hoped that telemedicine would provide healthcare services to remote and underserved populations. The study conducted focus group discussions with medical students and residents in Saudi Arabia to explore their views on integrating VR, AI, and telemedicine in medical education and practice. Their insights highlight the need for informed decision-making and strategic development to optimize the benefits and address challenges like initial investments, technical issues, ethics, and regulations. These considerations are crucial for fully realizing the potential benefits of technology in medical education globally.

Electronic Money Institution and Protection Framework

This study aims to address a notable gap in the existing literature concerning electronic money (e-money) in Malaysia. While numerous studies have explored advantages and disadvantages of e-money, consumer behaviors and general issues on e-money, there remains limited understanding of e-money-related institutions and the protective measures they afford. Employing a structured interview guide, primary data were gathered from professionals actively engaged in the e-money sector, who concurrently serve as users. Additionally, secondary data were extracted and analysed from official government websites. Semi-structured interviews formed the primary data collection method, and an in-depth thematic analysis was conducted using Computer Assisted Qualitative Data Analysis Software (CAQDAS), specifically Atlas.ti version 22. The study identifies four key institutions contributing to e-money consumer protection: government entities, private organizations, nongovernmental institutions (NGOs), and international entities. Moreover, it delineates five types of protection extended to e-money consumers during payment transactions. These protections encompass security measures, safeguards provided by the Central Bank of Malaysia, merchant-based protections, measures enacted by Telecommunications Companies (TELCOs) and Electronic Money Institutions (EMIs) as well as non-governmental organisations (NGO). The findings of this research offer valuable insights for practitioners and policymakers involved in the e-money ecosystem. Understanding the diverse institutions and protection mechanisms is crucial for fostering a secure and reliable e-money environment for consumers. This research contributes significantly to the current body of literature by presenting insights derived directly from experts with firsthand experience in e-money institutions and protective measures. The study enriches our understanding of the multifaceted landscape of e-money consumer protection, filling a crucial research gap in the existing knowledge base.

Thematic Analysis of Consumer Processes When Experiencing E-Money Transactions

This study delves into the intricate processes of consumer transactions within e-money (or e-wallet) applications, across the pre-, during-, and post-transaction phases. Through in-depth interviews conducted with experts who concurrently serve as active users of e-money platforms, utilizing a qualitative research methodology and thematic analysis facilitated by the advanced Computer Assisted Qualitative Data Analysis Software (CAQDAS), particularly Atlas.ti, version 22, the research identifies three interconnected themes inherent in the e-money consumer transaction process: pre-transaction considerations, the actual transaction experience, and post-transaction reflections. A crucial aspect highlighted in this investigation is the discerning approach adopted by e-money consumers, who engage in thorough background research on various Electronic Money Institutions (EMIs) to strategically select the most suitable provider. Additionally, the study draws attention to innovative features, such as a 'shake to get a reward' incentive, implemented by some EMIs, which enhance the overall user experience. The overarching aim of this research is to contribute significantly to the understanding of e-money consumer protection issues by unravelling the processes inherent in digital transactions. The findings not only shed light on the nuanced dynamics of e-money transactions but also provide crucial insights into consumer behaviours and preferences at each phase of the transaction process. Ultimately, this research serves as a valuable foundation for ongoing discussions aimed at enhancing consumer protection in the evolving landscape of digital financial interactions.

Electronic Money Institution and Protection Framework

This study aims to address a notable gap in the existing literature concerning electronic money (e-money) in Malaysia. While numerous studies have explored advantages and disadvantages of e-money, consumer behaviors and general issues on e-money, there remains limited understanding of e-money-related institutions and the protective measures they afford. Employing a structured interview guide, primary data were gathered from professionals actively engaged in the e-money sector, who concurrently serve as users. Additionally, secondary data were extracted and analysed from official government websites. Semi-structured interviews formed the primary data collection method, and an in-depth thematic analysis was conducted using Computer Assisted Qualitative Data Analysis Software (CAQDAS), specifically Atlas.ti version 22. The study identifies four key institutions contributing to e-money consumer protection: government entities, private organizations, nongovernmental institutions (NGOs), and international entities. Moreover, it delineates five types of protection extended to e-money consumers during payment transactions. These protections encompass security measures, safeguards provided by the Central Bank of Malaysia, merchant-based protections, measures enacted by Telecommunications Companies (TELCOs) and Electronic Money Institutions (EMIs) as well as non-governmental organisations (NGO). The findings of this research offer valuable insights for practitioners and policymakers involved in the e-money ecosystem. Understanding the diverse institutions and protection mechanisms is crucial for fostering a secure and reliable e-money environment for consumers. This research contributes significantly to the current body of literature by presenting insights derived directly from experts with firsthand experience in e-money institutions and protective measures. The study enriches our understanding of the multifaceted landscape of e-money consumer protection, filling a crucial research gap in the existing knowledge base.

Thematic Analysis of Consumer Processes When Experiencing E-Money Transactions

This study delves into the intricate processes of consumer transactions within e-money (or e-wallet) applications, across the pre-, during-, and post-transaction phases. Through in-depth interviews conducted with experts who concurrently serve as active users of e-money platforms, utilizing a qualitative research methodology and thematic analysis facilitated by the advanced Computer Assisted Qualitative Data Analysis Software (CAQDAS), particularly Atlas.ti, version 22, the research identifies three interconnected themes inherent in the e-money consumer transaction process: pre-transaction considerations, the actual transaction experience, and post-transaction reflections. A crucial aspect highlighted in this investigation is the discerning approach adopted by e-money consumers, who engage in thorough background research on various Electronic Money Institutions (EMIs) to strategically select the most suitable provider. Additionally, the study draws attention to innovative features, such as a 'shake to get a reward' incentive, implemented by some EMIs, which enhance the overall user experience. The overarching aim of this research is to contribute significantly to the understanding of e-money consumer protection issues by unravelling the processes inherent in digital transactions. The findings not only shed light on the nuanced dynamics of e-money transactions but also provide crucial insights into consumer behaviours and preferences at each phase of the transaction process. Ultimately, this research serves as a valuable foundation for ongoing discussions aimed at enhancing consumer protection in the evolving landscape of digital financial interactions.

Social work community practice from a government discourse perspective: Motives for youth volunteers in controlling COVID-19 in Rwanda

During the COVID-19 pandemic, countries were in emergencies to contain the envisioned danger. Rwanda was no exception. Among strategies adopted by the country to control the pandemic were community interventions by youth volunteers. Using social movement and self-determination theories, the paper investigated the policy perspective of the motives for the voluntary engagement of these youths in controlling the pandemic so that these motives could be documented for future emergencies. A qualitative approach was adopted to explore what motivated these youths by analysing government discourses, where data were collected from six government policy documents. The content analysis was done after grouping the data into two categories and subcategories using MAXQDA 22, a qualitative data analysis software, for data mapping and visualization. The results indicate that youth volunteers have been mainly motivated by institutional-level motives, whereby government leadership mobilisation and coordination had a high occurrence, and under the individual-level motives category, civic-mindedness behaviour occurred high. The paper argues that conducive policies are a key motivation for social work community practices. Social workers should advocate for conducive policies to increase the productivity of voluntary activities. Another study involving talking to youth volunteers may complement the current findings.

“In Minutes Instead of Weeks”: Discursive Constructions of Generative AI and Qualitative Data Analysis

The use of qualitative data analysis software (QDAS) platforms have always posed a dilemma for researchers, and the integration of generative artificial intelligence (AI) tools are complexifying this relationship even further. The way QDAS companies are positioning this new development will impact how researchers understand what qualitative analysis is and what it could be. Using discourse analysis methods, we explored how ATLAS.ti, NVivo, and MAXQDA websites constructed the relationship between AI-assist and qualitative research methods. We noted four “discursive dilemmas” across the websites: (a) automated insight-generation versus systematic meaning-making; (b) chatting with documents versus analyzing data; (c) high speed versus high engagement; and (d) novelty versus agency. While some level of hyperbolic discourse can be expected from corporations whose goal is to sell products, we argue that the discourses used on these websites may be incompatible with the epistemological foundations of qualitative research.

Abstract PO2-10-12: The devil is in the details: Workflow analysis of breast cancer treatment decision making and implications for decision support design

Abstract While numerous decision aids have been developed to support treatment decision-making in breast cancer1, widespread implementation remains limited due to challenges integrating these tools in clinical workflows2. Given these persistent issues, we need to better understand the complex workflows and needs of decision aid users - patients, their family caregivers, and breast cancer clinicians. Previous studies have explored various aspects of breast cancer team workflows3,4. Despite this work, it is still unclear how these complex workflows support or hinder decision aid use. In this study, we conducted an in-depth analysis of breast cancer team workflow to elicit design requirements for informatics tools to support patient-centered decision-making. This study was part of a larger project aimed at designing a COMputeried PAtient-centered Collaborative Technology (COMPACT) to support personalized decision-making for breast cancer patients. We conducted observations of clinicians and patients at one breast center, using a tablet computer with smart pen to take notes on all aspects of clinic workflow. We uploaded all observation notes into a qualitative data analysis software, Dedoose. Two researchers coded the observations in an inductive, consensus-based process. We met to review our codes and identify key themes emerging in the data. We observed 95 hours and 127 patient encounters across 20 clinician-centered and 8 patient-centered observations. We identified 10 themes related to the design of decision support, which we grouped into the 4 components of workflow6 (see Table 1). We identified numerous patient-specific factors communicated from the patient to the clinical team that influenced treatment decision-making. These “decision factors” covered the broader scope of the patient’s life that was important in the decision-making process (e.g., upcoming family wedding, work). Patients were frequently “knowledge brokers” and were asked to remember and relay information across members of the care team. We identified 28 different tools and technologies used to support treatment decision-making. Patient family caregivers (e.g., aunt, husband) played an important role in treatment decision-making. Based on these findings, we developed design requirements for informatics tools to better support patients (and clinicians). Our study highlights the complexity and interdependence of breast cancer treatment decision-making. Patients frequently made treatment decisions that influenced subsequent decisions. Decision aids typically focus on one decision or one care specialty and do not support consideration of several treatment options at one time1. Future research is needed to determine if and how decision support tools could incorporate the broader scope and interdependence between decisions to support patient-centered care. We highlight the need for informatics tools to consider the diverse and unique decision factors (e.g., hobbies) that are crucial to patient-centered decision-making. Decision support could help to elicit and incorporate these factors during treatment decision-making. However, the variable nature of these patient-specific factors presents a challenge to decision support design. Further research is needed to determine how to optimally incorporate such factors into decision support tools. We found inadequate system support for clinicians’ tasks including limited feedback loops to notify clinicians of completed tasks (e.g., mammogram, genetic testing). As a result, patients were often responsible for relaying information to and between different members of the clinical team. Given that patients only remember 50% of what clinicians tell them during visits7, a better system is needed to improve the reliability of information transfer. Our design guidelines can be used to improve the design of decision support tools and ultimately improve patient-centered decision-making. Table 1. Workflow components, themes, and associated challenges to decision support design Citation Format: Megan Salwei, Carrie Reale. The devil is in the details: Workflow analysis of breast cancer treatment decision making and implications for decision support design [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-10-12.

Konsep Pemakanan Halalan Tayyiban: Kajian Terhadap Penerima Anugerah Keluarga Mithali Peringkat Kebangsaan Malaysia

Building a mithali family is a challenge that requires practical guidance and reallife examples that can be emulated. Based on the Islamic perspective, as explained theoretically by previous Islamic scholars, the halalan tayyiban dietary concept is one of the important factors in family development. Therefore, this study was conducted to explore the actual practice of the halalan tayyiban dietary concept by recipients of the Anugerah Keluarga Mithali (AKM) at the national level. This study adopted a qualitative approach and used the interview method with the focus group discussion technique to collect data. The analysis of this interview data was done using the qualitative data analysis software NVivo version 10. A total of 11 respondents from two nuclear families that had won the AKM at national level in 2014 (7 family members) and 2017 (4 family members) were involved in this research. The results found that the AKM families practised six dietary principles; namely, food and income should be clean and halal, safe for consumption, satisfies the natural disposition of a prosperous soul, free from syubhah (elements of a guideline for the formation of modules for Islamic family building by Islamic bodies, preachers, parents and also Muslim individuals with related interests. Future studies should be done by involving more nuclear families to further improve the reliability of this study and to touch on other undiscussed aspects in this study.

Investigation of Preschool Teachers’ Views of Inclusive Mathematics Education

Inclusive education is based on the belief of having an educational philosophy in which all individuals will acquire the knowledge and skills necessary for their effective inclusion in society. This study aims to examine preschool teachers' views on inclusive mathematics education activities in Turkey. Case study design, one of the qualitative research designs, was used in the study. The study group consisted of 15 preschool teachers. All of the teachers participating in the study were female. The study group was formed by convenient sampling method based on volunteerism. The data were collected through a personal information form and a semi-structured form. Content analysis technique was used to analyse the data. During the analysis of the data, codes and themes were created and visualised using MAXQDA 2024 qualitative data analysis software. According to the results obtained, preschool teachers have deficiencies in preparing differentiated lesson plans and content for inclusive mathematics education. In this context, it is recommended to overcome this deficiency by organising in-service training activities for preschool teachers. Additionally, it is recommended to create guidebooks to assist teachers in implementing inclusive mathematics education activities in preschool.

“Cansada, agobiada, frustrada”: Desafíos emocionales de docentes de inglés en primaria durante la pandemia: Estudio de caso en San Carlos, Costa Rica

Introduction. COVID-19’s health crisis put a hold on all educational processes worldwide. This was not the exception for Costa Rica at the Ministry of Education. In March 2020, it was proposed that distance education was going to be put into practice. Purpose. This paper focuses on the feelings the participants communicated during the study. This was part of a principal investigation that used a case study methodology based on inductive qualitative research. It had the purpose of describing the perceptions of four English primary school teachers from the Dirección Regional de Educación San Carlos (San Carlos Regional Education Office) regarding distance education during the sanitary emergency of COVID-19. Methodology. Data were collected through in-depth interviews, lesson plans, and video recordings of pedagogical mediation and professional contexts. The data were analyzed using semantic categories from content analysis (Hatch, 2002) and the Web Qualitative Data Analysis (webQDA) software (Costa et al., 2019). Results. Results suggest that teachers reported experiencing a range of emotions before and during the pandemic, with the majority being negative in nature. Among the most notable were uncertainty, stress, confusion, overwork, a sense of difficulty, sadness, and worry. Other feelings included discrimination, impotence, and disrespect towards the teachers and the families’ specific contexts. This study presents the teachers from their human dimension as professionals who endured the pandemic within their own educational contexts. The study also shows the importance of effective communication and taking into consideration psychological support to strengthen the emotional integrity of the teachers.

Factors Impacting One-year Follow-up Visit Adherence after Bariatric Surgery in West China: A Mixed Methods Study

PurposeQuality follow-up (FU) is crucial after bariatric surgery. However, poor adherence after surgery is prevalent. This research aimed to explore the factors related to FU adherence after bariatric surgery in West China.Materials and MethodsThis study used a sequential explanatory mixed-methods research design. Participants (n = 177) were identified from the West China Hospital. Demographic information, disease profile, treatment information, and post-surgery FU information were obtained from the bariatric surgery database of the Division of Gastrointestinal Surgery of the West China Hospital. The survey data were analyzed using logistic regression. Semi-structured interviews with participants (n = 10) who had low adherence were conducted. The recording was transcribed verbatim and entered into qualitative data analysis software. Qualitative data were analyzed using a content analysis approach.ResultsMultiple logistic regression revealed that living in Chengdu (OR, 2.308), being employed (OR, 2.532), non-smoking (OR, 2.805), and having less than five years of obesity (OR, 2.480) were positive predictors of FU adherence within one year. Semi-structured interviews suggested that factors related to adherence to FU were lack of motivation, lack of opportunity, insufficient ability, and beliefs regarding consequences.ConclusionFactors impacting one-year FU visit adherence after bariatric surgery include not only demographic and disease-related factors but also social and family factors. These results will provide evidence to support healthcare professionals in developing personalized postoperative FU management strategies.Graphical

Women's expectations, preferences and needs in midwifery care – results from the qualitative Midwifery Care (MiCa) study: Childbirth and early parenthood

ObjectiveThe main goals of our study were (I) the investigation of expectations and preferences as well as (II) the determination of needs of women in regard to midwifery care. DesignDescriptive phenomenology was used to investigate the ways in which women experienced childbirth and early parenthood. A descriptive qualitative research design was chosen, using focus groups. Settingix online focus groups were carried out with 19 women for this part of the Midwifery Care (MiCa) study, mainly from the north of Germany. ParticipantsWomen shortly after birth, in puerperium and the first year after childbirth were recruited in Germany. A purposeful strategy according to maximum variation sampling was applied to reach diversity in the sample regarding age and previous children. Data were analysed using qualitative content analysis, according to Mayring, with support of the qualitative data analysis software MAXQDA 2022. FindingsSix main categories were derived for both childbirth and early parenthood: (a) involvement of family, (b) need for information, (c) physical and psychological aspects and (d) orientation in the healthcare system. In each group, one main category about provision of healthcare was developed: (e) care around childbirth and (f) midwifery care in early parenthood. Women attached great importance to the communication with midwives and favoured the involvement of their partners in the childbirth process and during parenting. Based on different experiences and inconsistency of information, women would prefer consistency in staff and communication as well as standardised information. ConclusionsFrom the user's perspective, midwifery care is crucial during childbirth and the child's first year of life. Current health care during and after childbirth and early parenthood lacks individualised care models, emotional support, adequate and professional communication between different health care providers, and consistency in midwifery care. Our findings should be translated into health care delivery with effective interprofessional teamwork within the continuity of midwifery care. Further quantitative research should analyse the individual healthcare situations of women in the reproductive phase of their life as well as of the applied healthcare models in order to personalise care and to improve healthcare quality.

Perceptions on Medical Professionalism Among Future Healthcare Professionals: A Mixed Method Study.

Background Accreditation councils across the world constantly examine policies and practices in professionalism in their medical curriculum. The National Medical Commission (NMC) in India has recognized the pressing need to reform and include professionalism in its undergraduate curriculum. Objectives The objective of this study was to explore the perspectives of medical and nursing students on professional behavior, suitable teaching-learning methods, and assessment strategies for curriculum integration. Methodology The study utilized a concurrent triangulation mixed method design, collecting both qualitative and quantitative data simultaneously to gain a comprehensive understanding of medical and nursing students' perceptions of professionalism. It included 83 final-year undergraduate medical students and 42 final-year undergraduate nursing students. The approval of the Institutional Review Board of Meenakshi Medical College Hospital & Research Institute was obtained. A semi-structured questionnaire consisting of demographic characteristicsand opinions regarding academic professional behavior, teaching-learning, and evaluation of professionalism was used. Perceptions regarding the meaning of professionalism, behavior of professionalism to be emphasized in teaching, and pressing challenges of professionalism were explored. Students were also asked to rank the best behavior associated with professionalism. Frequency and percentages were used for descriptive statistics. Means and standard deviations were calculated for continuous variables. An unpaired t-test was used to determine a statistically significant difference between the means in the two groups. The quantitative data was analyzed with R programming and content analysis was performed for the qualitative data using ATLAS.ti qualitative data analysis software. Results Unexplained/unauthorized absence from academic activities (2.39 ± 1.553), not following the timeline (2.41 ± 1.560), making fun of patients and peers (2.16 ± 1.619), cheating in the exams (2.37 ± 1.651), and inebriation (2.39 ± 1.666) were unacceptable behaviors by undergraduate medical students compared with nursing students. Clinical experience (1.54 ± 0.857) and role models (1.74 ± 0.935) were the highly acceptable methods of teaching professionalism and interprofessional interactions (1.58 ± 0.650) and awards (1.98 ± 1.100) were the most common suggestions to improve the course curriculum by both groups. Community/field activity (1.78 ± 0.860) and clinical examination (1.89 ±1.123) were the most preferred methods of evaluation of professionalism. According to the students, dedication, honesty, respect, and self-improvement were identified as the best behaviors associated with professionalism. Conclusions The study revealed that students had a wide range of perspectives about professionalism. Different unprofessional acts were acceptable to students. The causes of these perspectives need to be explored and resolved to promote professionalism. Students identified the need for strong positive role models and frequent clinical experiences, along with improved interprofessional interactions and awards to improve teaching and learning professionalism. Community/field activity was the preferred assessment method proposed by the students. Medical institutions must promote these components in curriculum, faculty development, and clinical settings to foster the development of professionalism among students.

Dynamics of Urban Transport Arrangement Policies to Support the Achievement of Sustainable Transportation

This article analyses the dynamics of the transport policy of the government of Yogyakarta, Indonesia, and the administration’s efforts to organise transportation for sustainability. A qualitative method with a case study approach is used in the research. For data analysis, an interactive model and NVivo 12 Plus qualitative data analysis software were used. The results suggested several initiatives that the government of Yogyakarta must undertake to implement sustainable transportation, including transportation policies, infrastructure development and public awareness. The Yogyakarta government does not yet have regulations that form the basis for the implementation of sustainable transportation in the region. Sustainable transport has only recently become a developmental priority in the 2020–2024 regional mid-term development plan, which reflects the Indonesian government’s lagging in promoting sustainable transport on a national and regional scale. For sustainable transport infrastructure, the government of Yogyakarta has operated the rapid bus system Trans Jogja for public transport. However, the implementation of Trans Jogja has been suboptimal because it is considered unable to meet the needs of the community and forces the people of Yogyakarta to use private vehicles for daily mobility. Therefore, The Yogyakarta government is currently working on electric energy-based public transportation (electromobility), which is more environmentally friendly as it does not use fuel oil and has low emissions.

AI Applications for Fiqh Rulings in Islamic Banks – Shariah Committee Acceptance

Purpose ‒ The objective of this paper is to study the acceptance of applications of AI in the fiqh ruling process of Islamic banking, among Shariah committees (SC) members of Islamic banks Design/Methodology/Approach ‒ This is a qualitative study using focus group interviews with ten SC members from different Islamic banks. Following the interviews, a thematic analysis of the transcribed data was conducted using computer-assisted qualitative data analysis software (CAQDAS). Findings ‒ The participants were generally receptive towards the utilization of AI tools in the fiqh ruling process at Islamic banks. The participants recognize the potential of AI smart assistants for improving the efficiency and effectiveness of the fiqh ruling process. However, they raised some concerns and expectations that need to be addressed. Originality/Value ‒ The novelty of this research comes from sourcing first-hand perspectives of SC members of Islamic banks in Malaysia. Being the end users of AI systems for the fiqh ruling of Islamic banking, it is important to understand their perceptions, concerns, and expectations Research Limitations/Implications ‒ The size of focus group was limited to ten participants to optimize group size and composition in order to allow adequate participation by each group member. Further sampling from more SC members may elicit additional findings Practical Implications ‒ The first-hand views from the target users provides valuable input for initiatives developing AI systems for the fiqh ruling process of Islamic banking

Difficulties and challenges experienced by nurses in eldercare institutions in Albania: A qualitative content analysis.

The global and Albanian populations of elderly people are steadily increasing. It is estimated that the number of elderly adults requiring care in Albania will rise from 90.9 thousand to 130.4 thousand by 2030. Despite the envisaged increase in the number and life expectancy of the elderly population in Albania, which will result in an increased demand for nursing care, little is known about the difficulties and challenges that nurses face while providing care for elderly Albanian individuals. To explore the difficulties and challenges nurses experience while caring for elderly people in Albanian eldercare institutions. The study employed a qualitative design using purposive sampling of 20 nurses in 8 eldercare institutions who participated in face-to-face semi-structured interviews. The audio-recorded interviews were transcribed and subsequently subjected to analysis using Graneheim and Lundman's qualitative conventional content analysis. Data analysis was supported by the qualitative data analysis software MAXQDA 2020. The reporting of this study followed the consolidated criteria for reporting qualitative research (COREQ) checklist. Five key categories emerged from data analysis: (1) professional difficulties, (2) educational difficulties, (3) relationship challenges, (4) increased mental stress, and (5) participation in advocacy. This study showed that nursing staff experienced many barriers, challenges, and unmet needs when implementing care for elderly people in long-term care facilities. The findings indicate that nurses working in eldercare institutions faced significant challenges in caring for elderly people. Nurses need more legal, financial, educational, and emotional support. The study indicates that more organizational and national support is necessary for nursing staff to care for elderly people in eldercare Albanian institutions properly. Eldercare institution leaders need to recognize the importance of their role in overcoming the barriers and providing adequate support for their staff in caring for elderly people.

Impact of executive isolation on leadership and learning culture: a study across chief executive officers and employees of technology enterprises in India

Purpose Executive isolation, also known as workplace loneliness, its factors and impact are major issues for organizational development, future of work for leadership and learning culture. The purpose of this study is to examine the Executive isolation phenomenon where relationships between power distance, organizational culture and executive isolation of Chief Executive Officers (CEOs) are analysed on how it is considered by their teams. The same is contextualized through the inputs received through interviews conducted with CEOs and employee surveys. Design/methodology/approach The qualitative in-depth interviews of five CEOs, and survey across 34 of the 50 employees, were undertaken over the course of two phases of this study. The investigation focused on identifying executive isolation of CEOs and perspectives of employees that can impact the leadership and learning progress of organizations based on work culture, power distance and decision-making; awareness and experience of executive isolation; workplace friendliness and rejection; and management development initiatives to minimize the impact of executive isolation. Qualitative data analysis was conducted using MAXQDA 2022 (Verbi Software, Berlin, Germany), which is a qualitative data analysis software. Findings The findings highlight and expose the significant gap between understanding and analysing of the factors due to which the CEOs undergo executive isolation. It also extends to providing details related to the lack of awareness of the teams’ actions contributing to the CEOs’ isolation. It further highlights the fact that the difference of perspectives between the CEOs and teams leads to the organization slowing in its learning activities due to the leaders’ own challenges of executive isolation The findings also provide immense need of developing knowledge assets and management development initiatives for learning interventions, to help understand, analyse and mitigate executive isolation, in the interest of the organizational learning and development. Originality/value Earlier research work have contextualized the executive isolation impact on CEOs ability to be a leader. This study extends it to include the implications of leadership and learning culture on the teams that are affected by organization culture, power distance, decision-making and analysing the gap between the understandings about executive isolation of the CEOs. Eventually, it interprets how CEOs courting the executive isolation impacts the overall developmental culture of the organization. This will help in asserting the serious need of new learning frameworks needed to minimize the impact of CEO-level executive isolation.

Caregiver perceptions of a pediatric produce prescription program during the COVID-19 pandemic.

Produce prescription programs are rapidly expanding as a type of Food is Medicine intervention with prospects for mitigating food insecurity and reducing diet-related health disparities. Gaining insight into participant perspectives on program logistics and perceived impacts is crucial to program success and improvements. Between May and June 2021, we conducted individual and small group interviews with 23 caregivers with children aged 1-5 years who participated in a produce prescription program from 2020 to 2021 in Texas, U.S. They were provided with a gift card to a major national grocery retailer to purchase fresh produce. The card was reloaded $60 monthly for 8 months with automatic roll-over of unused funds to the next month. Participants also received nutrition education in the form of two videos. A deductive analysis approach was employed, and NVivo qualitative data analysis software was used to perform coding and to assist with subsequent analyses. All 23 participants were female, with an average age of 37.5 years, and the majority identified as Hispanic/Latino (83%). About 43% of the families had three or more children. Six themes were generated from interviews. Three of these themes were related to program logistics: (1) ease of program use; (2) participant satisfaction with the incentive; and (3) desire for additional store options. The remaining main themes pertained to program impact: (1) the enhanced ability to purchase produce; (2) the usefulness of the nutrition education; and (3) persistent challenges encountered when preparing the produce for picky eaters and young children. A pediatric produce prescription program was perceived as logistically easy and a helpful source of financial support for accessing fresh produce. Program features such as card-based incentive system and partnership with major grocery retailer were favored by participants. For future program design, it may be beneficial to consider collaborating with multiple grocery outlets and enhancing the intensity and targeting of nutrition education.