Explanatory Model Research Articles

Comparative analysis of the prevalence 3-HIT concept in people living with HIV and seronegative patients with chronic conditions. Cross-3HIT Project.

ObjectivesThis study aimed to assess and compare the occurrence of 3-HIT in people living with HIV (PLWH) and seronegative patients. Additionally, the study investigated whether HIV infection could serve as...

Common mental disorders among patients with diabetes in a secondary care facility: nature, prevalence, and explanatory models

Background: Diabetes is a chronic medical condition which is psychologically and behaviourally demanding in nature. Persons with diabetes may be particularly vulnerable to developing mental health disorders. This study was conducted to estimate the prevalence and factors associated with common mental disorders (CMDs) in patients with diabetes and understand their explanatory models of illness. Methods: One hundred and seventy patients who attended the diabetic clinic at a secondary care hospital were recruited to participate in this cross-sectional study. Psychiatric morbidity and the individual's conceptualization of the illness were assessed using the clinical interview schedule-revised and the modified short explanatory model interview (SEMI) respectively. Socio-demographic and clinical details were recorded using a structured proforma. Results: CMDs were observed in 14.7% of the sample and were significantly associated with female gender, longer duration of diabetic illness and treatment, use of insulin and past treatment for psychiatric illness. Illness attributions included unhealthy diet, heredity, and stress, as well as punishment from God. Religious and traditional healing methods were cited as potential sources of help in addition to medical interventions and   lifestyle modification.  Conclusions: Diabetes can significantly impact the emotional health of an individual in addition to its myriad physical consequences. Understanding patient perspectives regarding their illness and identifying and providing appropriate interventions for those with emotional disorders are an important component of diabetes care programs.

Explainable artificial intelligence in transport Logistics: Risk analysis for road accidents

Automobile traffic accidents represent a significant threat to global public safety, resulting in numerous injuries and fatalities annually. This paper introduces a comprehensive, explainable artificial intelligence (XAI) artifact design, integrating accident data for utilization by diverse stakeholders and decision-makers. It proposes responsible, explanatory, and interpretable models with a systems-level taxonomy categorizing aspects of driver-related behaviors associated with varying injury severity levels, thereby contributing theoretically to explainable analytics. In the initial phase, we employed various advanced techniques such as data missing at random (MAR) with Bayesian dynamic conditional imputation for addressing missing records, synthetic minority oversampling technique for data imbalance issues, and categorical boosting (CatBoost) combined with SHapley Additive exPlanations (SHAP) for determining and analyzing the importance and dependence of risk factors on injury severity. Additionally, exploratory feature analysis was conducted to uncover hidden spatiotemporal elements influencing traffic accidents and injury severity levels. We developed several predictive models in the second phase, including eXtreme Gradient Boosting (XGBoost), random forest (RF), deep neural networks (DNN), and fine-tuned parameters. Using the SHAP approach, we employed model-agnostic interpretation techniques to separate explanations from models. In the final phase, we provided an analysis and summary of the system-level taxonomy across feature categories. This involved classifying crash data into high-level causal factors using aggregate SHAP scores, illustrating how each risk factor contributes to different injury severity levels.

Examining the association between perceived stigma, its correlates, and restrictions in participation among persons with disabilities in Nepal: a cross-sectional study

BackgroundDisability stigma in low- and middle-income countries is one of the most persistent and complex barriers limiting persons with disabilities (PwDs) from enjoying their rights and opportunities. Perceived stigma among PwDs and its impact on participation restriction is rarely assessed in Nepal.ObjectiveThis study aimed to measure the extent of perceived stigma by PwDs, identify its relationships with specific demographic factors, and assess the impact on social participation.MethodsA cross-sectional survey was conducted between May and July 2022 among PwDs in Nepal, with a sample of 371. The Explanatory Model Interview Catalog (EMIC) stigma scale and P-scale suitable for people affected by stigmatized conditions were used, and the generated scores were analyzed. One-way ANOVA was performed to determine group differences for sociodemographic variables, and linear regression and correlational analysis were used to identify their association and measure the strength and direction of the relationship.ResultsThe mean stigma score was 16.9 (SD 13.8). 42% of respondents scored higher than the mean. The scores differed significantly by disability type, caste and ethnicity, education, occupation, and household wealth. Over 56% reported participation restriction, and 38% had severe/extreme restriction. Approximately 65% of participants with intellectual disabilities, 53% with multiple disabilities, and 48.5% of persons with severe or profound disabilities experienced severe or extreme restrictions. Perceived stigma had a positive correlation with Disability type (r = 0.17, P < 0.01) and negative correlations with Severity of disability (r= -0.15, P < 0.05), and Household wealth (r= -0.15, P < 0.01). Education was inversely associated with both stigma (r= -0.24, P < 0.01), and participation restriction (β= -9.34, P < 0.01). However, there was no association between stigma and participation restriction (β= -0.10, P > 0.05).ConclusionAll participants exhibited stigma in general; however, the severity varied based on disability type, level of education, and sociocultural circumstances. A large proportion of participants reported facing a high degree of restrictions in participation; however, no association was detected between perceived stigma and participation restriction. A significant negative linear correlation was observed between education and participation restriction. Stigma reduction programs focusing on education and empowerment would be especially important for overcoming internalized stigma and increasing the participation of PwDs.

An Explanatory Model of Vascular Access Care Quality: Results of a Cross-Sectional Observational Study

The management of nursing care regarding patients’ vascular access is a priority. This study determines the contribution of the variables involved in the quality of care and maintenance of vascular access (VA) devices in admitted patients in the Valencian Community. Methods: Using the STROBE statement, an observational, cross-sectional study was conducted on 1576 VA devices. Data were collected using the INCATIV Questionnaire. We performed a multivariate analysis of the questionnaire variables. Results: In total, 50% had a good or very good assessment of the VA condition. This was positively correlated with anatomical location, dressing type, dressing date record, use of needle-free connectors (NFCs), date of last dressing change, presence of phlebitis, visibility of the insertion site and characteristics of the dressing’s condition (p &lt; 0.001). The model indicated that the presence of phlebitis was the clearest predictor of a poor VA care assessment (OR = 20.579), followed by no visibility of the insertion site (OR = 14.209). Results also indicated that uncovered VA lumens or no NFCs used were related to a negative quality assessment. Conclusion: By managing and controlling these variables, the likelihood of providing optimal care is ensured. This enables the establishment of a standardised care approach for all nursing professionals and the building of a new quality indicator.

Depression as reversible biopsychosocial break up after schismogenesis

In recent decades, an important amount of biomedical and psychosocial data regarding major depression etiology and treatment has emerged. Despite this wealth of information, a global hypothesis seeking to integrate all available data into a unified explanatory model of depression is still missing. The biopsychosocial model is a precedent in this endeavor. This model proposes a systemic conceptual framework, suggesting that the dynamic interactions of biological, psychological, and social factors constantly condition individuals’ health status. However, it has been criticized for its lack of practical utility when it comes to understanding the onset and potential reversion of depression. Gregory Bateson proposed a systemic, transdisciplinary construct that may be useful for addressing these criticalities: schismogenesis. While this concept has found increasing application across different areas such as politics, ecology, or even psychotherapy, to the best of our knowledge, its use as a biopsychosocial etiology hypothesis for depression remains unexplored. The schismogenesis hypothesis suggests that depression can be considered as a switching process mediated by positive feedback curves, leading to a functional dissociation due to insufficient inhibitory control. Nonetheless, this process can be either reversed spontaneously or through external help, resulting in a rebalancing of the system.

From media evolution to the Anthropocene: Unpacking sociotechnical autopoiesis

AbstractThe Anthropocene, a term encapsulating humanity's significant impact on Earth's geology, is analysed from a media and socio‐evolutionary lens. The exploration investigates the correlation between human socio‐evolution, media, technology, and the inception and progression of the Anthropocene era. By employing a systems theoretical perspective, this research heavily draws on the theories of German sociologist Niklas Luhmann. Insights from the American philosopher Levi Bryant are also integrated to elucidate the relationship between humans, technology and the Earth's geological state. It is posited that society, as we understand it, emerged with the advent of spoken language. This language‐based communication system shaped cooperation within the human population. Over time, the interplay between biology, consciousness and social structures, driven by language‐based communication in different communication media, has deeply influenced Earth's climate. The evolution of communication media has continuously expanded humanity's capacity to influence its environment. The article provides a comprehensive explanatory model, suggesting that the social structures formed by these media profoundly impact Earth's geology, challenging conventional notions surrounding the origins and implications of the Anthropocene era.

Quality of life and quality-adjusted life years after stroke in Sierra Leone.

Stroke is a leading cause of mortality and negatively affects health-related quality of life (HRQoL). HRQoL after stroke is understudied in Africa and there are no reports of quality-adjusted life years after stroke (QALYs) in African countries. We determined the impact of stroke on HRQoL after stroke in Sierra Leone. We calculated QALYs at 1 year post-stroke and determined sociodemographic and clinical variables associated with HRQoL and QALYs in this population. A prospective stroke register was established at the two-principal adult tertiary government hospitals in Freetown, Sierra Leone. Participants were followed up at 7, 90 days, and 1 year post-stroke to capture all-cause mortality and EQ-5D-3L data. QALYs were calculated at the patient level using EQ-5D-3L utility values and survival data from the register, following the area under the curve method. Utilities were based on the UK and Zimbabwe (as a sensitivity analysis) EQ-5D value sets, as there is no Sierra Leonean or West African value set. Explanatory models were developed based on previous literature to assess variables associated with HRQoL and QALYs at 1 year after stroke. To address missing values, Multiple Imputation by Chained Equations (MICE), with linear and logistic regression models for continuous and binary variables, respectively, were used. EQ-5D-3L data were available for 373/460 (81.1%), 360/367 (98.1%), and 299/308 (97.1%) participants at 7, 90 days, and 1 year after stroke. For stroke survivors, median EQ-5D-3L utility increased from 0.20 (95% CI: -0.16 to 0.59) at 7 days post-stroke to 0.76 (0.47 to 1.0) at 90 days and remained stable at 1 year 0.76 (0.49 to 1.0). Mean QALYs at 1 year after stroke were 0.28 (SD: 0.35) and closely associated with stroke severity. Older age, lower educational attainment, patients with subarachnoid hemorrhage and undetermined stroke types all had lower QALYs and lower HRQoL, while being the primary breadwinner was associated with higher HRQoL. Sensitivity analysis with the Zimbabwe value set did not significantly change regression results but did influence the absolute values with Zimbabwe utility values being higher, with fewer utility values less than 0. We generated QALYs after stroke for the first time in an African country. QALYs were significantly lower than studies from outside Africa, partially explained by the high mortality rate in our cohort. Further research is needed to develop appropriate value sets for West African countries and to examine QALYs lost due to stroke over longer time periods. The Stroke in Sierra Leone anonymized dataset is available on request to researchers, see data access section.

The Interrelationship of Benefit Finding, Demoralization, and Stigma among Patients with Parkinson’s Disease and Their Caregivers

Parkinson’s disease (PD) is a debilitating neurodegenerative disease with a relentlessly progressive course of illness. This study aimed to assess the dyadic dynamics of benefit finding (BF), demoralization, and stigma on the depression severity of PD patients and their caregivers. This study used a cross-sectional design with purposive sampling. In total, 120 PD patients and 120 caregivers were recruited from the neurological ward or neurological outpatient clinic of a medical center in Taiwan from October 2021 to September 2022. PD patients and their caregivers were enrolled and assessed using the Mini International Neuropsychiatric Interview, the Benefit Finding scale, Demoralization Scale, Stigma Subscale of the Explanatory Model Interview Catalogue, and Taiwanese Depression Questionnaire. Among the 120 patients and 120 caregivers that successfully completed the study, 41.7% (N = 50) and 60% (N = 72) were female, respectively. The most common psychiatric diagnoses of both the PD patients (17.5%) and their caregivers (13.3%) were depressive disorders. Using structural equation modeling, we found that the stigma, BF, and demoralization of PD patients might contribute to their depression severity. Demoralization and stigma of PD patients’ caregivers might also contribute to the depression severity of PD patients. Caregivers’ BF and demoralization were significantly linked with their depression severity. PD patients’ BF degree and their caregivers’ BF degree had significant interactive effects. Both patients’ and their caregivers’ stigma levels had significant interactive effects. Clinicians should be aware of and manage these contributing factors between PD patients and their caregivers in order to prevent them from exacerbating each other’s depression.

Can life events predict first-time suicide attempts? A nationwide longitudinal study

The prevention paradox describes circumstances in which the majority of cases with a suicide attempt come from a population of low or moderate risk, and only a few from a ‘high-risk’ group. The assumption is that a low base rate in combination with multiple causes makes it impossible to identify a high-risk group with all suicide attempts. The best way to study events such as first-time suicide attempts and their causes is to collect event history data. Administrative registers were used to identify a group at higher risk of suicidal behaviour within a population of six national birth cohorts (N = 300,000) born between 1980 and 1985 and followed from age 15 to 29 years. Estimation of risk parameters is based on the discrete-time logistic odds-ratio model. Lifetime prevalence was 4.5% for first-time suicide attempts. Family background and family child-rearing factors were predicative of later first-time suicide attempts. A young person’s diagnosis with psychiatric or neurodevelopmental disorders (ADHD, anxiety, depression, PTSD), and being a victim of violence or sex offences contributed to the explanatory model. Contrary to the prevention paradox, results suggest that it is possible to identify a discrete high-risk group (&lt;12%) among the population from whom two thirds of all first-time suicide attempts occur, but one third of observed suicide attempts derived from low- to moderate-risk groups. Findings confirm the need for a combined strategy of universal, targeted and indicated prevention approaches in policy development and in strategic and practice responses, and some promising prevention strategies are presented.

Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies

In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life and developing agency in a digital world. This paper presents a qualitative study that explores students’ perspectives on the relevance of learning concepts of data-driven technologies for navigating the digital world. The underlying approach of the study is data awareness, which aims to support students in understanding and reflecting on such technologies to develop agency in a data-driven world. This approach teaches students an explanatory model encompassing several concepts of the role of data in data-driven technologies. We developed an intervention and conducted retrospective interviews with students. Findings from the analysis of the interviews indicate that students can analyse and understand data-driven technologies from their everyday lives according to the central role of data. In addition, students’ answers revealed four areas of how learning about data-driven technologies becomes relevant to them. The paper concludes with a preliminary model suggesting how computing education can make concepts of data-driven technologies meaningful for students to understand and navigate the digital world.

Recommendations for optimising pilot and feasibility work in surgery

BackgroundSurgical trials are recognised as inherently challenging. Pilot and feasibility studies (PAFS) are increasingly acknowledged as a key method to optimise the design and conduct of randomised trials but remain limited in surgery. We used a mixed methods approach to develop recommendations for how surgical PAFS could be optimised.MethodsThe findings from a quantitative analysis of funded surgical PAFS over a 10-year period and in-depth qualitative interviews with surgeons, methodologists and funders were triangulated and synthesised with available methodological guidance on PAFS.ResultsThe synthesis informed the development of an explanatory model describing root causes and compounding challenges that contribute to how and why surgical PAFS is not currently optimised. The four root causes identified include issues relating to (i) understanding the full scope of PAFS; (ii) design and conduct of PAFS; (iii) reporting of PAFS; and (iv) lack of appreciation of the value of PAFS by all stakeholder groups. Compounding challenges relate to both cultural issues and access to and interpretation of available methodological PAFS guidance. The study findings and explanatory model were used to inform the development of a practical guidance tool for surgeons and study teams to improve research practice.ConclusionsOptimisation of PAFS in surgery requires a cultural shift in research practice amongst funders, academic institutions, regulatory bodies and journal editors, as well as amongst surgeons. Our ‘Top Tips’ guidance tool offers an accessible framework for surgeons designing PAFS. Adoption and utilisation of these recommendations will optimise surgical PAFS, facilitating successful and efficient future surgical trials.

Using abstraction to analyze instructional tasks and their implementation

Over the past few decades, Piaget’s forms of abstraction have proved productive for developing explanatory models of student and teacher knowledge, yet the broader applicability of his abstraction forms to mathematics education remains an open question. In this paper, we adopt the Piagetian forms of abstraction to accomplish two interrelated goals. Firstly, we analyze instructional tasks to develop hypothetical accounts of the abstractions that might occur during students’ engagement with them. Secondly, we draw on middle- and secondary-grades classroom data to discuss the abstractions that occurred during the implementation of those instructional tasks. Because this paper represents an initial attempt at extending the applicability of Piagetian forms of abstraction, we close with potential implications of such use and possible avenues for future research. Most notably, we highlight the complexities involved in supporting abstraction through curriculum and instruction.

Influence of the Talented Generation Internship Program (Magenta) on Human Resource Management Readiness At the Port of Indonesia (Persero) I Medan

PT Pelabuhan Indonesia (Persero) or Pelindo is a state-owned company which operates in the port services sector which provides opportunities for vocational/equivalent students, college students and fresh graduates to carry out internships in their environment. During the selection process, it was discovered that several of the interns accepted were interns who already had organizational experience. In carrying out an internship, interns not only help carry out supervisor/mentor duties, but interns are also helped to explore and improve their existing competencies so that they are better prepared to face the real world of work. This research aims to determine the influence of organizational experience and internship experience on work readiness of interns. This research uses quantitative research methods in the form of correlational research and explanatory research models, as well as collecting data through distributing questionnaires to interns at PT Pelabuhan Indonesia (Persero) I Medan. In processing the data, researchers used partial test methods and simultaneous tests for the variables organizational experience, internship experience, and work readiness with the help of SPSS version 26. The results of the study showed that organizational experience had a positive and significant effect on work readiness, internship experience had a positive and significant effect on work readiness, organizational experience and internship experience simultaneously influence work readiness

Influence of Clinical and Psychosocial Factors on the Adherence to Topical Treatment in Psoriasis.

(1) Background: Psoriasis is a common chronic inflammatory skin disease with different manifestations, affecting the quality of life at social, emotional, and professional dimensions and requiring long-term treatment. This study aimed to investigate the effect of psychosocial and clinical factors on adherence to topical treatment in psoriasis. (2) Methods: Self-reported measures and weighing the medicines were used to assess adherence. Psychopathological symptoms were measured using the Brief Symptoms Inventory (BSI). Social and clinical factors were assessed by a sociodemographic and clinical questionnaire. Adherence to treatment with topical medication was assessed using a sample of 102 psoriasis patients. (3) Results: The explanatory models of adherence to topical treatment in psoriasis translated into positive associations between adherence and the education level (higher education) (p = 0.03; φ = 0.23), the single-family household (p = 0.01; φ = 0.44), active employment status (p = 0.05; φ = -0.19), familiar history of psoriasis (p = 0.04; φ = -0.21), and the presence of obsessive-compulsive symptoms (p = 0.01; d = 0.29). (4) Conclusions: In patients who present the characteristics identified that influence non-adherence, instructions should be reinforced to increase adherence. The experimental mortality (39.6%) reduced the sample size, representing a limitation of the study.

The Cultural Formulation Interview as a clinical tool in the assessment of eating disorders: a pilot study.

The Cultural Formulation Interview (CFI) in the DSM-5 is a person-centered instrument for systematically appraising the impact of sociocultural factors in psychiatric assessment. The CFI has been shown to be feasible, acceptable, and useful in various clinical contexts. However, to this date there is only one published report describing the use of the CFI with patients with eating disorders. To explore the potential benefits and challenges of utilizing the CFI in the assessment of eating disorders. As an addendum to an ongoing qualitative study about barriers to treatment for eating disorders for individuals with a migration background in Sweden, we utilized the CFI in the assessment of adult patients (n=8) in specialist eating disorder treatment. Interview data were analyzed employing a thematic analysis framework. Participants provided feedback using a standard form for evaluation of the CFI. Certain CFI questions proved especially meaningful in this context. In response to the CFI question about patient explanatory models, previously unrecognized ideas about causation emerged. These included perfectionism-a known risk factor for eating disorders-based on immigrant parents' career expectations and experiences of strict family control over life choices. In response to the CFI questions on cultural identity and its impact, the participants provided rich descriptions including important themes such as religion, racism, and ambiguities associated with being a second-generation immigrant. The final CFI question, eliciting concern about the patient-clinician relationship, revealed numerous examples of prejudice and unfamiliarity with migrant groups among healthcare providers. The CFI can be useful in the assessment of patients with eating disorders and should be further explored as a standard tool in specialist eating disorder services.

Coarse-Grained Simulations on Polyethylene Crystal Network Formation and Microstructure Analysis.

Understanding and characterizing semi-crystalline models with crystalline and amorphous segments is crucial for industrial applications. A coarse-grained molecular dynamics (CGMD) simulations study probed the crystal network formation in high-density polyethylene (HDPE) from melt, and shed light on tensile properties for microstructure analysis. Modified Paul-Yoon-Smith (PYS/R) forcefield parameters are used to compute the interatomic forces among the PE chains. The isothermal crystallization at 300 K and 1 atm predicts the multi-nucleus crystal growth; moreover, the lamellar crystal stems and amorphous region are alternatively oriented. A one-dimensional density distribution along the alternative lamellar stems further confirms the ordering of the lamellar-stack orientation. Using this plastic model preparation approach, the semi-crystalline model density (ρcr) of ca. 0.913 g·cm-3 and amorphous model density (ρam) of ca. 0.856 g·cm-3 are obtained. Furthermore, the ratio of ρcr/ρam ≈ 1.06 is in good agreement with computational (≈1.096) and experimental (≈1.14) data, ensuring the reliability of the simulations. The degree of crystallinity (χc) of the model is ca. 52% at 300 K. Nevertheless, there is a gradual increase in crystallinity over the specified time, indicating the alignment of the lamellar stems during crystallization. The characteristic stress-strain curve mimicking tensile tests along the z-axis orientation exhibits a reversible sharp elastic regime, tensile strength at yield ca. 100 MPa, and a non-reversible tensile strength at break of 350%. The cavitation mechanism embraces the alignment of lamellar stems along the deformation axis. The study highlights an explanatory model of crystal network formation for the PE model using a PYS/R forcefield, and it produces a microstructure with ordered lamellar and amorphous segments with robust mechanical properties, which aids in predicting the microstructure-mechanical property relationships in plastics under applied forces.

The relationship between digital transformation and digital literacy - an explanatory model: Systematic literature review

Digital transformation has been one of the main trends in organizations in recent years, and digital literacy is a critical factor in the success of this transformation. Digital transformation involves the use of digital technologies to improve an organization’s processes, products, and services. For this transformation to be successful, it is necessary for employees to have knowledge of and skills in digital technologies. Digital literacy allows employees to understand technologies and their applications, know how to use them efficiently and safely, evaluate and select the most appropriate digital tools for each task, and be prepared to deal with problems and challenges that arise in the digital environment. Thus, this study is relevant because it seeks to understand how digital literacy can impact Digital Transformation in organizations and, through the construction of an explanatory model, allows the identification of variables that influence this relationship by developing strategies to improve the digital literacy of employees in organizations.

Navigating the generative AI travel landscape: the influence of ChatGPT on the evolution from new users to loyal adopters

Purpose This study, rooted in affordance-actualization theory and communication theory, aims to critically examine how ChatGPT influences users’ transition from new adopters to loyal advocates within the context of travel decision-making. It incorporates constructs including communication quality, personalization, anthropomorphism, cognitive and emotional trust (ET), loyalty and intention to adopt into a comprehensive model. Design/methodology/approach This study used quantitative methods to analyze data from 477 respondents, collected online through a self-administered questionnaire by Embrain, a leading market research company in South Korea. Lavaan package within R studio was used for evaluating the measurement model through confirmatory factor analysis and using structural equation modeling to examine the proposed hypotheses. Findings The findings reveal a pivotal need for enhancing ChatGPT’s communication quality, particularly in terms of accuracy, currency and understandability. Personalization emerges as a key driver for cognitive trust, while anthropomorphism significantly impacts ET. Interestingly, the study unveils that in the context of travel recommendations, users’ trust in ChatGPT predominantly operates at the cognitive level, significantly impacting loyalty and subsequent adoption intentions. Practical implications The findings of this research provide valuable insights for improving Generative AI (GenAI) technology and management practices in travel recommendations. Originality/value As one of the few empirical research papers in the burgeoning field of GenAI, this study proposes a highly explanatory model for the process from affordance to actualization in the context of using ChatGPT for travel recommendations.

Current state and prospects of teaching-learning processes in music teacher education in Spain: a literature review

Abstract The teaching-learning process, both in general and in the specialty of Music Education, has evolved and its explanatory models have become increasingly complex. In view of current challenges, it is relevant to analyse the elements that are considered necessary to train music teachers to become competent professionals. This study identifies characteristics found in specialised Spanish and international scientific literature on teaching-learning processes in music teacher education, referring to their current state as well as to desirable developments and future prospects. Although a certain overlap among emergent categories in Spain and those in other countries can be observed, we also found differences of degree, as well as interesting divergences.