Conventional Analysis Research Articles

Does market microstructure affect time-varying efficiency? Evidence from emerging markets

This study advances beyond the conventional singular factor analysis and considers multiple market microstructure components to investigate time varying informational efficiency. This holistic approach deepens the comprehension of the intricate interplay among diverse microstructure facets. This study employs the System Generalized Method of Moments (SGMM) model to mitigate potential endogeneity pitfalls. The dataset comprises firm-level data from five emerging markets, for the period 2001–2020. After controlling for a battery of macroeconomic factors and idiosyncratic risk, this study finds that liquidity, volatility, thin trading, and trading cost are the key determinants of time varying efficiency. In comparison anonymous trading, tick size, and automation are not found to have a significant influence. The results are robust for an alternative choice of sample periods and alternative estimation methods. Individual and institutional investors should consider market microstructure components while designing asset allocation strategies.

Financial efficiency of healthcare companies in an emerging market

AbstractUnderstanding the financial dynamics of healthcare companies is essential for reducing costs while improving access to care and patient outcomes. This study aims to explore the financial efficiency of healthcare companies operating in an emerging stock market. We use conventional and fuzzy data envelopment analysis. We consider liquidity and leverage ratios as input criteria and profitability ratios as output criteria, each taken from Borsa Istanbul for the year 2022. The results indicate that financially inefficient healthcare companies can increase their efficiency by effectively managing debt and working capital, restructuring their asset base, and focusing on equity management.

Comprehensive performance domain tolerance analysis methodology for freeform imaging spectrometers

In recent years, attention has been directed towards cost-effective and compact freeform Schwarzschild imaging spectrometers with plane gratings. The utilization of tolerance analysis serves as a potent approach to facilitate the development of prototypes. Conventional tolerance analysis methods often rely solely on the modulation transfer function (MTF) criterion. However, for a spectrometer system, factors such as the keystone/smile distortion and spectral resolution performance also require consideration. In this study, a tailored comprehensive performance domain tolerance analysis methodology for freeform imaging spectrometers was developed, considering vital aspects such as the MTF, keystone/smile distortion, and spectral resolution. Through this approach, meticulous tolerance analysis was conducted for a freeform Schwarzschild imaging spectrometer, providing valuable insights for the prototype machining and assembly processes. Emphasis was placed on the necessity of precise control over the tilt and decenter between the first and third mirrors, whereas the other fabrication and assembly tolerances adhered to the standard requirements. Finally, an alignment computer-generated hologram (CGH) was employed for the preassembly of the first and third mirrors, enabling successful prototype development. The congruence observed between the measured results and tolerance analysis outcomes demonstrates the effectiveness of the proposed method.

Segmentation and deep learning to digitalize the kinematics of flow-type landslides

AbstractFlow-type landslides, including subaerial and submarine debris flows, have poor spatiotemporal predictability. Therefore, researchers rely heavily on experimental evidence in revealing complex flow mechanisms and evaluating theoretical models. To measure the velocity field of experimental flows, conventional image analysis tools for measuring soil deformation and hydraulics have been borrowed. However, these tools were not developed for capturing the kinematics of fast-moving soil–water mixtures over complex terrain under non-uniform lighting conditions. In this study, a new framework based on deep learning was used to automatically digitalize the kinematics of experimental flow-type landslides. Captured images were broken into sequences and binarized using a fully convolutional neural network (FCNN). The proposed framework was demonstrated to outperform classic image processing algorithms (e.g., particle image velocimetry, trainable Weka segmentation, and thresholding algorithms) over a wide range of experimental conditions. The FCNN model was even able to process images from consumer-grade cameras under complex shadow, light, and boundary conditions. This feature is most useful for field-scale experimentation. With fewer than 15 annotated training images, the FCNN digitalized experimental flows with an accuracy of 97% in semantic segmentation.

Innovative detection mechanism for deltamethrin based on a dual-emitting Fluoroprobe and its application in a smartphone-based photoelectric conversion device

Pyrethroids are widely used insecticides worldwide, while their on-site and rapid detection still faces technological challenges. Herein, an innovative detection mechanism was designed for deltamethrin, a typical kind of type II pyrethroids, based on a dual-emitting fluoroprobe consisting of NH2-SiQDs and Eu3+. Deltamethrin can rapidly hydrolyze into 3-phenoxybenzaldehyde (3-PBD) and react specifically with fluoroprobe, causing fluorescence quenching of SiQDs while maintaining the fluorescent stability of Eu3+. Building upon the above fluorescence-responsive principle, SiQDs@Eu3+ provided satisfactorily dual-emitting signals, realizing the highly-selective and sensitive detection of deltamethrin. Correlation between the surface structure of SiQDs and their absorption spectra was in-depth unraveled by TD-DFT calculation and FT-IR analysis. As for the analytical performance, the recovery and LOD of deltamethrin in lettuce, provided by SiQDs@Eu3+, were comparable or even superior over conventional chromatographic analysis. Meanwhile, an innovative smartphone-based optical device was developed, which greatly decreased errors caused by the previously reported smartphone-based fluorescence detection.

Perceptions of abused Chinese women on community-based participatory approach programme in addressing their needs

ABSTRACT Background The community-based participatory approach (CBPA) has gained increasing recognition worldwide for enhancing the effectiveness of intervention. It is relatively new in Chinese societies and participants’ perceptions are underexplored. This study aims to explore abused Chinese women’s perceptions on the CBPA programme in addressing their needs. Methods A total of 11 abused Chinese women were recruited for a focus group and individual interviews. A semi-structured interview guide was used. All interviews were audio-recorded and data were transcribed verbatim. Conventional content analysis was used for analysis. Results Four themes were identified regarding the women’s perceptions and experiences of the community-based participatory approach programme: (1) Women’s perceived acceptability of the CBPA programme; (2) Women’s perceived usefulness of the CBPA programme; (3) Women’s perceived feasibility of the CBPA programme; and (4) Empowering the women through participating in CBPA. Conclusions Abused Chinese women had high perceived acceptance and positive experiences towards the community-based participatory approach. Women benefited from their robust participation throughout the process. The findings confirm the potential of using the community-based participatory approach in designing interventions for future programme planning and intervention to address the needs of abused Chinese women.

Constructing group sequential tests with data monitoring

Objective:Group sequential tests are procedures for repeatedly analysing accruing data, and aim to reduce test time by stopping data collection as soon as an effect is deemed statistically present or absent. Data monitoring, on the other hand, aims to control statistical power by repeatedly re-estimating sample variance from the accruing data, and then adjusting the sample size accordingly. The current work presents a numerical framework for combining group sequential tests with data monitoring, thus leveraging the best of both methods. Methods:The approach revolves around numerically convolving truncated probability density functions, which leads to numerically tracktable distributions for the sequential test statistic. This then allows conventional power analysis methodologies to be used during the data monitoring procedure, thus keeping the procedure relatively intuitive and transparent. The test operating characteristics of the procedure were evaluated extensively in simulations and in Auditory Brainstem Response data. Results:A good control over statistical power was observed, which was attributed to data monitoring. In some test conditions, however, data monitoring led to inflated type-I error rates and a reduced control over statistical power. This was attributed to sample variance estimation errors, and was largely overcome by initiating data monitoring after at least ∼40-90 samples had accrued and/or by leaving data blinded. Conclusion/Significance:When there is uncertainty regarding the effect size and/or the population variance, then group sequential tests with data monitoring may offer a solution, providing an efficient means to reach an unambiguous test outcome in terms of effect present/absent.

Symptom management experiences of Chinese individuals with Crohn's disease: A longitudinal descriptive qualitative study.

Individuals diagnosed with Crohn's disease, a chronic lifelong condition, experience a dynamic or fluctuating process of developing symptom management behavior. However, less clear is how these individuals respond to and manage their symptoms over time. The aim of this study was to longitudinally explore the symptom management experiences of individuals with Crohn's disease in China. A longitudinal qualitative design was used. Eighteen individuals with newly diagnosed Crohn's disease were purposely selected. Semi-structured interviews were conducted on four occasions over a 12-month period. Interviews at each time point were transcribed and coded using conventional content analysis. Afterward, data analyses of each time point were compared longitudinally to form a holistic understanding. Three themes and eight subthemes emerged from the analysis: (1) disclosing symptoms strategically: voluntary disclosure, reluctance to disclose, no need to disclose; (2) decreasing vigilance in symptom prevention: preventing symptoms stringently, preventing symptoms discriminatively, preventing symptoms with decreased diligence; and (3) increasing autonomy in symptom treatment: actively seeking medical advice, self-treatment and self-observation. The participants were inclined to keep symptoms hidden from relatives and friends and showed a downward trend in actively disclosing physical discomfort to medical staff within the course of 1 year. The participants' attention to symptom prevention declined, but the enthusiasm and independence to eliminate symptoms on their own increased over time. Nurses could implement targeted interventions according to the characteristics of different periods to assist individuals with Crohn's disease in managing symptoms effectively, reducing symptom burden and improving their quality of life.

Exploring altered bovine sperm trajectories by sperm tracking in unconfined conditions.

Mammalian sperm motility is getting more relevant due to rising infertility rates worldwide, generating the need to improve conventional analysis and diagnostic approaches. Nowadays, computer assisted sperm analysis (CASA) technologies represent a popular alternative to manual examination which is generally performed by observing sperm motility in very confined geometries. However, under physiological conditions, sperm describe three-dimensional motility patterns which are not well reconstructed by the limited depth of standard acquisition chambers. Therefore, affordable and more versatile alternatives are needed. Here, a motility analysis in unconfined conditions is proposed. In details, the analysis is characterized by a significant longer duration -with respect to conventional systems- with the aim to observe eventually altered motility patterns. Brightfield acquisition in rectangular glass capillaries captured frozen-thawed bovine spermatozoa which were analyzed by means of a self-written tracking routine and classified in sub-populations, based on their curvilinear velocity. To test the versatility of our approach, cypermethrin -a commonly used pesticides- known to be responsible for changes in sperm motility was employed, assessing its effect at three different time-steps. Experimental results showed that such drug induces an increase in sperm velocity and progressiveness as well as circular pattern formation, likely independent of wall interactions. Moreover, this resulted in a redistribution of sperm with the rapid class declining in number with time, but still showing an overall velocity increase. The flexibility of the approach permits parameter modifications with the experimental needs, allowing us to conduct a comprehensive examination of sperm motility. This adaptability facilitated data acquisition which can be computed at different frame rates, extended time periods, and within deeper observation chambers. The suggested approach for sperm analysis exhibits potential as a valuable augmentation to current diagnostic instruments.

The Applications of qNMR in Drug Quality Control

NMR is well known as one of the most important methods for elucidating the structure of organic compounds. Furthermore, it has recently been recognized as a powerful tool for quantitative analysis. The quantitative NMR (qNMR) has become an official analytical method described in detail in the Japanese Pharmacopoeia. And today, it is widely applied in drug development. The qNMR method offers many new advantages over traditional and conventional quantitative analysis methods. For example, this method requires only a few milligrams of the analyte and allows absolute quantitation of the analyte without using a qualified reference standard as a control sample. Then, it can be easily applied to most chemicals without expending significant time and resources on method development. In addition, residual solvent can be determined using qNMR methods. The peak area of an NMR spectrum is directly proportional to the number of protons contributing to the resonance. Based on this principle, the residual solvent can be determined by counting the signal corresponding to the residual solvent in the sample solution. We have applied qNMR as an alternative to GC. Thus, qNMR is an innovative and promising analytical technique that is expected to make significant progress in the future. Recently, the analytical research and quality control departments have been working together to expand this technology to a wide range of areas in the pharmaceutical industry.

An improved laser flash method for thermal conductivity measurement of molten salts

Thermal conductivity measurement of high-temperature heat transfer fluids provides a crucial basis for designing utility-scale thermal systems. Molten salts are promising heat transfer and thermal storage fluids in high-temperature thermal energy storage systems, while the molten salt thermal conductivity obtained in existing studies exhibits large deviations due to the high experimental complexity and unstandardized test procedures. In this work, we improve the conventional laser flash analysis method by proposing a theoretical heat transfer model for multi-layer heat conduction and providing a near-optimal molten salt container design. With water as a test sample, the relative error of thermal conductivity measurement using the improved method is 6.3%. The thermal conductivity of Solar Salt from 250 to 400 ​°C, and of Hitec Salt from 160 to 250 ​°C are measured and compared with the previous work. Both results show that the thermal conductivity increases with the temperature rising. This work will promote the technology standardization for accurately acquiring the thermal conductivity of molten salts or other similar high-temperature heat transfer fluids.

Seeking Validation and Creating Meaningful Interactions

Infancy, a formative period for development, has been identified as an advantageous time to provide family-centered support for children with delays. Families should be included as stakeholders during development of such interventions to ensure social value. We describe a preliminary randomized controlled trial evaluating Infant Achievements (IA), an 8-week (16-session) parent-mediated intervention for parents of infants 8–12 months old with social and communication delays. This study reports our qualitative examination of the intervention's social validity. We conducted focus groups with seven IA parent participants and analyzed their responses using conventional content analysis. Five themes emerged: (a) difficulty identifying resources to address concerns; (b) seeking validation of concerns; (c) seeking support to enhance children's development; (d) experiencing a supportive coaching relationship; and (e) creating meaningful interactions to support children's communication and social skills. Our results emphasize the necessity of partnering with families in the development of evidence-based, family-centered interventions for infants with developmental delays to maximize their social value.

Barriers and facilitators of readiness for hospital discharge in patients with myocardial infarction: a qualitative study: quality improvement study.

Readiness for hospital discharge (RHD) in patients with myocardial infarction (MI) is a key concept in the discharge process. This study was conducted to explain the barriers and facilitators of preparation for discharge in patients with MI. A qualitative study was conducted using conventional content analysis from April 2021 to 2022. Data collection was done in a targeted manner through semi-structured interviews until the data saturation stage. Nineteen participants (11 patients, 3 family members, and 5 healthcare team) were interviewed. Data analysis was done in eight steps according to the suggested steps of Graneheim and Lundman. MAXQDA18 software was used for coding. From the interviews, 348 primary codes, 11 sub-categories, and 5 categories were extracted. Finally, after continuous analysis and comparison of interviews, codes, and categories, two themes including "supporting platform" and "caring atmosphere" were extracted, which were the result of the participants' experience and understanding of the barriers and facilitators of RHD. The supporting platform included "family support" and "social support" and the caring atmosphere included "care gaps" and "professional healthcare team performance". The results of this study indicate several factors affecting RHD in heart attack patients. According to the results of the study, the participation of the patient, family, healthcare team, and community in creating RHD is recommended. It is also suggested to pay attention to these factors in care and treatment planning to help improve health and control complications and prevent re-hospitalization in these patients.

Toward identification and intervention to address financial toxicity and unmet health-related social needs among adolescents and emerging adults with cancer and their caregivers: A cross-cultural perspective.

We qualitatively explored the unique needs and preferences for financial toxicity screening and interventions to address financial toxicity among adolescents and emerging adults (younger AYAs: 15-25 years) with cancer and their caregivers. We recruited English- or Spanish-speaking younger AYAs who were treated for cancer within the past 2 years and their caregivers. Semi-structured interviews were conducted to explore preferences for screening and interventional study development to address financial toxicity. The data were coded using conventional content analysis. Codes were reviewed with the study team, and interviews continued until saturation was reached; codes were consolidated into categories and themes during consensus discussions. We interviewed 17 participants; nine were younger AYAs. Seven of the 17 preferred to speak Spanish. We identified three cross-cutting themes: burden, support, and routine, consistent, and clear. The burden came in the form of unexpected costs such as transportation to appointments, as well as emotional burdens such as AYAs worrying about how much their family sacrificed for their care or caregivers worrying about the AYA's physical and financial future. Support, in the form of familial, community, healthcare institution, and insurance, was critical to mitigating the effects of financial toxicity in this population. Participants emphasized the importance of meeting individual financial needs by routinely and consistently asking about financial factors and providing clear guidance to navigate these needs. Younger AYAs and their caregivers experience significant financial challenges and unmet health-related social needs during cancer treatment and often rely on key supports to alleviate these unmet needs. When developing interventions to mitigate financial toxicity, clinicians and health systems should prioritize clear, consistent, and tailorable approaches to support younger AYA cancer survivors and their families.

Harmony in hardship: Unveiling parental coping strategies with the challenges of child's hematopoietic stem cell transplantation

PurposePediatric Hematopoietic Stem Cell Transplant (HSCT) profoundly affects various dimensions of parents' lives. Effective coping strategies are essential for improving psychological well-being and overall quality of life. Therefore, this study aimed to explore parental coping strategies with their child's HSCT challenges. Design and methodsThis qualitative study was conducted in Iran from February to November 2023, utilizing conventional content analysis with purposive sampling. For data collection, unstructured interviews were conducted, followed by in-depth semi-structured interviews with open-ended questions. Saturation was reached after analyzing qualitative data from 20 participants. ResultsData analysis unveiled a main theme labeled “harmony in hardship”. This overarching concept encapsulates the participants' endeavors to cope with the various hurdles and complexities stemming from their child's HSCT. This theme consisted of five categories: “emotional release”, “positive coping”, “avoidance coping”, “spiritual coping”, and “seeking support”. ConclusionParents utilized multifaceted coping strategies to manage the complexities of their child's HSCT journey. Understanding these mechanisms is crucial as they can positively influence parents' psychological well-being and improve their overall quality of life. Implications for clinical practiceHealthcare professionals should recognize the diverse coping strategies employed by parents of children undergoing HSCT and provide tailored interventions and support. Furthermore, implementing structured support programs and training initiatives for healthcare professionals can enhance their capacity to meet the diverse needs of parents during this challenging journey.

The Effect of the COVID-19 Pandemic on the Factors Influencing Iranian Medical Residents' Specialty Selection: A Qualitative Study.

Medical students' specialty selection influences the composition of the physician workforce and the effectiveness of health systems. Therefore, the identification of factors that influence the choice of specialty is critical for an evidence-based health policy. This study aimed to investigate the effect of the Coronavirus Disease 2019 (COVID-19) pandemic on the determinants of specialty choice among Iranian medical residents. In early 2022, this qualitative study was conducted among Iranian medical residents in seven provinces, including Tehran, Isfahan, Fars, Khorasan Razavi, Kerman, Kermanshah, and Khuzestan. The participants were selected using a purposeful sampling method. Data were collected using 74 semi-structured in-depth face-to-face interviews. Finally, a thematic content analysis (conventional content analysis) method was applied for data synthesis. The participant's mean age was 28.7±2.5 years, and more than 52% (N=39) were men. Following data synthesis, 10 sub-themes and four main themes were identified, including educational aspects affected by the pandemic, career-related hazards, personal and professional lifestyles affected by the disease, and experiences and beliefs regarding the pandemic. The COVID-19 pandemic has had a significant impact on medical students' educational, professional, and personal aspects of specialty choices. This study demonstrated how the disease affected the choice of specialty. Therefore, the findings could be used for developing national health policy and planning.

Transcatheter versus surgical aortic valve replacement for severe aortic valve stenosis: Meta-analysis with trial sequential analysis

ObjectivesRandomized controlled trials comparing transcatheter aortic valve implantation with surgical aortic valve replacement demonstrate conflicting evidence, particularly in low-risk patients. We aim to reevaluate the evidence using trial sequential analysis, balancing type I and II errors, and compare with conventional meta-analysis. MethodsDatabases were searched for randomized controlled trials, which were divided into higher-risk and lower-risk randomized controlled trials according to a pragmatic risk classification. Primary outcomes were death and a composite end point of death or disabling stroke assessed at 1 year and maximum follow-up. Conventional meta-analysis and trial sequential analysis were performed, and the required information size was calculated considering a type I error of 5% and a power of 90%. ResultsEight randomized controlled trials (n = 5274 higher-risk and 3661 lower-risk patients) were included. Higher-risk trials showed no significant reduction in death at 1 year with transcatheter aortic valve implantation (relative risk, 0.93, 95% CI, 0.81-1.08, P = .345). Lower-risk trials suggested lower death risk on conventional meta-analysis (relative risk, 0.67, 95% CI, 0.47-0.96, P = .031), but trial sequential analysis indicated potential spurious evidence (P = .116), necessitating more data for conclusive benefit (required information size = 5944 [59.8%]). For death or disabling stroke at 1 year, higher-risk trials lacked evidence (relative risk, 0.90, 95% CI, 0.79-1.02, P = .108). In lower-risk trials, transcatheter aortic valve implantation indicated lower risk in conventional meta-analysis (relative risk, 0.68, 95% CI, 0.50-0.93, P = .014), but trial sequential analysis suggested potential spurious evidence (P = .053), necessitating more data for conclusive benefit (required information size = 5122 [69.4%]). Follow-up results provided inconclusive evidence for both primary outcomes across risk categories. ConclusionsConventional meta-analysis methods may have prematurely declared an early reduction of negative outcomes after transcatheter aortic valve implantation when compared with surgical aortic valve replacement.

Exploring the Experiences of Patients with Autoimmune Skin Diseases During the COVID-19 Pandemic.

To explore the experiences of patients with an autoimmune disease during the COVID-19 pandemic. A total of 12 patients with autoimmune skin disease who were hospitalized in dermatology wards between 2021 and 2022 participated in this qualitative study. The researchers conducted in-depth, semi-structured interviews, which they analyzed using conventional content analysis. Data analysis revealed three main themes: changes in mental/psychological status, social impacts and financial problems, and physical consequences. These patients reported changes in mental/psychological status as their most important experiences. During a pandemic, it is important to manage the therapeutic course of patients who are at risk of infection, especially patients with autoimmune skin diseases, via appropriate planning.

Factors affecting patients' journey with primary healthcare services during mental health-related sick leave.

Best practice guidelines for the recovery and return to work (RTW) of people with mental disorders recommend access to the services of an interdisciplinary team combining pharmacological, psychological and work rehabilitation interventions. In the Canadian context, primary healthcare services are responsible for providing these services for people with common mental disorders, such as depressive or anxiety disorders. However, not everyone has easy access to these recommended primary healthcare services, and previous studies suggest that multiple personal, practice-related and organizational factors can influence the patient's journey. Moreover, previous studies documented that family physicians often work in silos and lack the knowledge and time needed to effectively manage by themselves patients' occupational health. Thus, the care and service trajectories of these patients are often suboptimal and can have important consequences on the person's recovery and RTW. Our study aimed to gain a better understanding of the patient journeys and the factors influencing their access to and experience with primary healthcare services while they were on sick leave due to a common mental disorder. A descriptive qualitative research design was used to understand and describe these factors. Conventional content analysis was used to analyze the verbatim. Five themes describe the main factors that influenced the patient's journey of the 14 participants of this study: (1) the fragmented interventions provided by family physicians; (2) patients' autonomy in managing their own care; (3) the attitude and case management provided by the insurer, (4) the employer's openness and understandingand (5) the match between the person's needs and their access to psychosocial and rehabilitation services. Our findings highlight important gaps in the collaborative practices surrounding the management of mental health-related sick leave, the coordination of primary healthcare services and the access to work rehabilitation services. Occupational therapists and other professionals can support family physicians in managing sick leaves, strengthen interprofessional and intersectoral collaboration and ensure that patients receive needed services in a timelier manner no matter their insurance coverage or financial needs. This study aimed at looking into the perspective of people who have lived or are currently experiencing a sick leave related to a mental health disorder to highlight the factors which they feel hindered their recovery and RTW. Additionally, two patient partners were involved in this study and are now engaged in the dissemination of the research results and the pursuit of our team research programme to improve services delivered to this population.

Mothers’ experience of virtual education during and after the COVID-19 pandemic: A qualitative study

This qualitative study was conducted with the aim of investigating the experience of mothers in Tehran in the field of virtual education during the COVID-19 pandemic. The participants in this study were 17 mothers of school children who experienced virtual education in Tehran during the COVID-19 pandemic. Data collection was done through semi-structured interviews, over the phone, and lasted for approximately 30–45 min. The interviews were audio recorded with the permission of the participants, transcribed verbatim, and analyzed using the method of conventional content analysis. For this study, 17 mothers were interviewed. Of those, 7 had one school-age child, 8 had two, and 2 had three. All of the children lived with both their mother and father. The majority of the mothers (16 out of 17) held bachelor's degrees. On average, the students were 11.76 years old. Fourteen of the students attended public schools, while 3 attended private schools. Most of the mothers (14 out of 17) reported their financial status as average. Data analysis led to the identification of 3 main themes and 12 subthemes. The three main categories were family-related factors, student-related factors, and school-related factors. The 4 themes related to family included 1) the role of family as a teacher, 2) the importance of direct and indirect supervision in family education, 3) the cost, and 4) the peace of mind. Factors related to students included 5 themes; 1) the advantages and disadvantages of virtual learning environments, 2) time management in education, 3) the consequences of failing to acquire necessary skills and knowledge, 4) issues of indifference and fraud in education, 5) physical, mental, and social problems affecting students. Factors related to schools included 3 themes; 1) the role of the teacher in virtual teaching and learning, 2) the challenges of lack of prior experience in education, 3) inequality in access to education and opportunities. The findings of this study have several implications for policymakers. Paying attention to technological and educational challenges related to virtual education and providing adequate support to parents are important things that should be prioritized. In addition, psychological support services should be made available to parents so that they can cope with the emotional challenges of virtual education. Finally, the positive experiences reported by mothers suggest that virtual education can be an effective and flexible option for future education, provided that the challenges are adequately addressed. Moreover, no work has been done on this issue comprehensively and the few studies that have followed this method have had some limitations. Therefore, schools, parents, and policymakers should explore innovative ways of integrating virtual education into the educational system to provide flexible and effective learning opportunities for students.