Search Results (6,956)

Background: Sedentary behavior is a major modifiable risk factor for chronic metabolic disorders, particularly type 2 diabetes mellitus (T2DM). Despite recommendations promoting regular physical activity (PA), adherence remains low. DIA/01 is a multidisciplinary study designed to promote healthy lifestyles for the prevention and management of T2DM, supporting healthcare systems. Methods: A total of 123 adults with T2DM diagnosed will be enrolled at the Diabetes Center of the University Hospital of Perugia throughout 2025. Inclusion criteria are age 25–80 years, ability to walk independently, being inactive, and BMI 18.5–40 kg/m². Exclusion criteria include severe cardiovascular, central nervous system, or musculoskeletal diseases contraindicating PA. Participants will be randomized into three groups: (1) standard care (SC); (2) SC plus theoretical PA counseling (TCPA); and (3) SC plus TCPA plus a 3-month supervised mixed exercise program. The assessment, conducted at baseline and at 6 and 12 months, includes total weekly PA (WPA) time, using IPAQ-SF and actigraphy. Moreover, glycated hemoglobin, sedentary time (ST), functional capacity, body composition, cardiometabolic risk factors, dietary adherence, perceived barriers and willingness to initiate PA, readiness to change, health-related quality of life, and sleep quality will be studied. This study is registered in the Clinical Trials Registry on 13 May 2026, with the identifier NCT07583355. Conclusions: Participants in groups (2) and (3) are expected to show greater improvements in WPA, reductions in ST, and favorable changes in metabolic and functional outcomes compared with SC. This approach may support long-term engagement in regular PA and contribute to improving the clinical management of T2DM. Full article

Background: Measles remains a significant public health challenge in Ethiopia, and the country has not achieved measles elimination despite the commitments outlined in the Immunization Agenda 2030. This study assessed inequalities in MCV2 vaccination among children aged 24–35 months in Ethiopia. Methods: This study used nationally representative data from the 2022/23 National Health Equity Survey, which employed a two-stage stratified cluster sampling design across all regions and city administrations. A total of 1987 mothers/caregivers of eligible children were interviewed. Descriptive statistics, bivariable analyses, and multivariable logistic regression were conducted using Stata 17 software, and determinants of MCV2 uptake were identified. Wealth-related inequality was assessed using concentration index analysis. Statistical significance was set at p < 0.05. Results: Overall MCV2 coverage was 60.4%. The multivariable analysis identified a significant inequality in second-dose measles vaccination (MCV2) in Ethiopia. Children born in health facilities had higher odds of vaccination (AOR = 1.88; 95% CI: 1.49–2.38), and maternal age of 25–34 years was associated with increased uptake compared to younger mothers (AOR = 2.03; 95% CI: 1.18–3.48). Postnatal care utilization and vitamin A supplementation strongly improved vaccination coverage, with children receiving vitamin A showing markedly higher odds of MCV2 uptake (AOR = 16.74; 95% CI: 9.61–29.14). Female children were more likely to be vaccinated than males (AOR = 1.50; 95% CI: 1.01–2.24), and higher maternal education (college or above) significantly increased uptake (AOR = 2.78; 95% CI: 1.02–7.73). Wealth status also influenced coverage. Conclusion: Improving MCV2 coverage in Ethiopia requires strengthening of maternal and child health services and promotion of integrated care, including PNC, vitamin A supplementation, and routine immunization. Early and consistent contact with the health system, along with addressing gaps in health education and supporting younger mothers, is essential. Persistent inequalities by place of birth, household wealth, and region highlight the need for targeted interventions. Strengthening equitable immunization services remains critical to achieving national and global measles elimination goals. Full article

Background/Objectives: Artificial intelligence (AI) is increasingly transforming cardiology through advanced analytical tools capable of identifying complex patterns across cardiovascular imaging, electrophysiology, and clinical datasets. Machine learning (ML) and deep learning (DL) algorithms are being integrated into echocardiography, cardiac computed tomography (CT), cardiac magnetic resonance imaging (MRI), and electrocardiography (ECG), enabling earlier diagnosis and more personalized cardiovascular care. This narrative review summarizes current clinical and organizational applications of AI in cardiology and discusses emerging concepts related to explainable and trustworthy AI. Methods: A narrative review was conducted according to SANRA recommendations using the PubMed, MEDLINE, Web of Science, and Scopus databases, including peer-reviewed publications from 2015 to 2026 addressing clinical, organizational, and ethical applications of AI in cardiology, with particular emphasis on cardiovascular imaging, electrocardiography, heart failure, digital health, and explainable AI frameworks. Results: Substantial evidence demonstrates that AI-based tools can achieve expert-level performance in cardiovascular imaging interpretation, automated electrocardiographic analysis, and clinical risk prediction. Across multiple cardiovascular settings, AI has been associated with improved diagnostic accuracy, enhanced workflow efficiency, and earlier detection of cardiovascular disease. Predictive models support risk stratification in heart failure and ischemic heart disease, while chatbots and digital health platforms may facilitate patient engagement, remote monitoring, and continuity of care. Despite these advances, important challenges remain, including algorithmic bias, limited transparency, insufficient external validation, data heterogeneity, and barriers to routine clinical implementation. Emerging explainable AI approaches may improve model interpretability, clinician confidence, and the safe adoption of AI-driven decision support systems. Conclusions: Artificial intelligence is rapidly evolving from a research-oriented technology into a clinically relevant component of cardiovascular care. Current evidence indicates that AI can enhance diagnostic performance, improve risk prediction, streamline clinical workflows, and facilitate more personalized management across multiple cardiovascular domains. However, the successful translation of AI into routine practice will depend on robust external validation, transparent decision-making mechanisms, regulatory oversight, and clinician acceptance. The development of explainable and trustworthy AI frameworks represents a critical step toward the safe, ethical, and sustainable integration of AI into modern cardiology. Full article

Walking is not merely locomotion but a window into the nervous system, integrating cortical, subcortical, cerebellar, spinal, and peripheral networks into a unified motor behavior. Across neurological diseases—including Parkinson’s disease, atypical parkinsonism, cerebellar ataxias, stroke, multiple sclerosis, neuropathies, neuromuscular disorders, and functional gait syndromes—gait disturbances are among the most disabling clinical features, contributing to falls, loss of independence, institutionalization, and premature mortality. Traditional bedside observation remains indispensable, but it lacks the sensitivity and reproducibility needed to capture subtle, episodic, or prodromal abnormalities. Over the past decade, advances in wearable sensors, marker-based and markerless motion capture, pressure-sensitive walkways, force plates, artificial intelligence, and machine learning have positioned digital mobility outcomes as promising, ecologically valid biomarkers of neurological function. These measures can support differential diagnosis, provide prognostic information on falls and survival, and serve as sensitive endpoints in therapeutic trials. They may also detect early abnormalities, such as increased stride-to-stride variability or prolonged double-support time, before overt clinical deterioration becomes evident. Clinical applications are increasingly evident across disorders, including distinguishing Parkinson’s disease from atypical parkinsonism, quantifying treatment response in normal-pressure hydrocephalus, tracking progression in ataxia and multiple sclerosis, predicting functional decline in motor neuron disease, and guiding rehabilitation after stroke. Integration with neuroimaging, electrophysiology, and molecular biomarkers is beginning to reveal the circuits underlying variability, instability, and freezing, positioning gait as a systems-level marker of neural integrity. Nevertheless, methodological heterogeneity, limited disease-specific validation, insufficient longitudinal data, and lack of consensus on clinically meaningful parameters continue to constrain translation. Cognitive, affective, and environmental influences also remain insufficiently represented in digital frameworks, while equity, accessibility, algorithmic bias, and privacy require careful ethical governance. Reconceptualizing gait as a “sixth vital sign” reframes mobility as a multidimensional biomarker of neural and systemic health. With harmonized protocols, robust validation, multimodal integration, and appropriate ethical frameworks, gait analysis could become a cornerstone of precision neurology. Full article

Background: The coronavirus disease 2019 (COVID-19) pandemic significantly disrupted cancer screening, diagnosis, and care. This phase of the Hungarian Cancer Epidemiology (HUN-CANCER-EPI) study evaluated trends in cancer incidence and mortality in Hungary during the pre-COVID (2011–2019), COVID (2020–2021), and post-COVID (2022–2023) periods. Methods: Nationwide data from the Hungarian National Health Insurance Fund database were analysed. Age- and sex-adjusted incidence and mortality trends from 2011 to 2019 were modeled using Poisson regression. Changes from trends in 2020–2023 were compared to pre-COVID projections with 95% confidence intervals. Results: From 2011 to 2019, age-standardised cancer incidence declined by 1.9% (95% CI: 1.3% to 2.4%) annually in males and by 1.0% (95% CI: 0.6% to 1.4%) in females. During 2020–2021, incidence dropped sharply below the expected: in 2020 (−12.8% in males and −11.8% in females) and in 2021 (−11.7% and −7.9%, respectively). The largest declines affected prostate, melanoma, and kidney cancer. Rapidly progressing tumors like pancreatic and esophageal showed smaller decreases. By 2023, partial incidence rebounds were observed for prostate cancer, kidney cancer, and melanoma, likely reflecting the recovery of pandemic-delayed diagnoses. Lung and liver cancers showed no rebound. The steepest drops were in males aged 70+, with incomplete recovery. Mortality stayed near expected levels overall, with some exceptions, like melanoma, where the rebound in incidence coincided with increased mortality rates in 2023, which may reflect delayed diagnosis, although this cannot be directly confirmed. Conclusions: The pandemic had lasting, cancer-type-specific impacts on incidence patterns, particularly affecting screening-dependent, slow-growing tumors. Mortality remained largely stable overall during the available follow-up, highlighting the need for targeted recovery strategies and strengthened healthcare system resilience. Full article

Background/Objectives: Burnout among healthcare professionals has become a major challenge affecting workforce sustainability, quality of care, and organizational performance. Although traditionally conceptualized as an individual response to chronic occupational stress, increasing evidence suggests that burnout is strongly influenced by broader organizational and systemic factors. This article aims to develop a multilevel conceptual framework that explains burnout as a systemic phenomenon emerging from interactions across healthcare structures, institutions, organizations, and individuals. Methods: An integrative conceptual synthesis was conducted using literature from healthcare burnout, occupational stress, organizational resilience, workforce sustainability, and health systems research. Relevant theoretical perspectives, including the Maslach Burnout Framework, Job Demands–Resources Model, Conservation of Resources Theory, and organizational resilience literature, were critically examined and integrated to develop a theory-building framework. Results: The proposed framework conceptualizes burnout as a dynamic process of pressure transfer operating across five interconnected levels: societal, political, institutional, organizational, and individual. Three central processes are identified: pressure transfer, normalization of exhaustion, and human capital erosion. The model further introduces the concepts of post-pandemic chronicization, invisible burnout, and human infrastructure to explain how prolonged systemic pressures contribute to the normalization and persistence of burnout within healthcare systems. Conclusions: Burnout should be understood not only as an individual psychological outcome but also as an indicator of systemic dysfunction. The proposed framework expands existing burnout models by integrating organizational and institutional determinants and provides a foundation for future empirical validation, workforce monitoring, and system-level interventions aimed at strengthening healthcare resilience and sustainability. Full article

Modern inpatient care generates irregular streams of heterogeneous clinical events, yet most predictive models require fixed feature matrices, predefined time windows, or discretization of continuous measurements. We developed CHaRT, a decoder-only autoregressive transformer designed to jointly forecast the identity of the next clinical event and, when applicable, its associated continuous value. CHaRT was trained and internally validated on structured electronic health record data from adult acute-care encounters across a 12-hospital health system in Minnesota from 2001 to 2025. The final corpus included 4,447,625 encounters from 1,301,502 patients and 701,556,877 non-padding clinical event tokens spanning vital signs, laboratory values, medications, diagnoses, microbiology, virology, imaging, fluids, and outcomes (ICU transfer or death). Encounters were split into training, validation, and test sets before vocabulary construction, normalization, and windowing. On the held-out test set, CHaRT achieved Top-1, Top-5, and Top-10 next-event accuracies of 51.61%, 87.34%, and 93.22%, respectively, with perplexity 4.50 and expected calibration error 0.0109. For numeric prediction, z-score MSE was 0.3812 for vital signs and 0.5713 for laboratory values. Seeded examples generated clinically coherent trajectories. Using model representations, a linear probe predicted deterioration (ICU transfer or in-hospital death) at a 6 h landmark with AUROC 0.95–0.97, indicating that learned representations transfer to downstream clinical risk prediction. Full article

Background: Cervical cancer remains a significant health issue in Indonesia, where structural barriers, fragmented information, and sociocultural norms continue to hinder timely diagnosis and treatment. Families play a central role throughout the illness journey, yet their perspectives are often overlooked in the development of digital patient navigation systems. This study explored family experiences, caregiving challenges, and expectations for a family-centered digital navigation model, DIVA.ID, by integrating Digital Health frameworks and Family Systems Theory. Methods: A qualitative descriptive approach was employed through semi-structured, in-depth interviews with 18 purposively selected family caregivers of women with cervical cancer at a major referral hospital in West Java. Participants were selected because they were directly involved in daily care, treatment decisions, logistical support, or emotional assistance. Interviews were conducted between August and October 2025 and continued until thematic saturation was reached, as indicated by repetition of categories and the absence of new major codes in the final interviews. Data were analyzed using inductive–deductive content analysis guided by Elo and Kyngäs, with five researchers conducting independent coding, iterative code comparison, consensus meetings, and theoretical mapping. Results: Four main themes emerged: (1) family involvement in decision-making, including collective discussion, shifting authority roles, and patient autonomy; (2) caregiver burden, involving physical exhaustion, psychological distress, social restriction, stigma, financial pressure, and employment disruption; (3) psycho-spiritual coping mechanisms, including emotional sharing, prayer, crying, patience, and surrender to God; and (4) digital healthcare needs, covering BPJS guidance, treatment information, scheduling, communication pathways, shelter support, and mental–spiritual support. Mapping these themes to Digital Health frameworks and Family Systems Theory clarified how DIVA.ID could translate family experiences into practical navigation functions. Conclusions: This study provides empirical foundations for a culturally sensitive, family-centered digital navigation model in Indonesia. Rather than demonstrating effectiveness, the findings identify design requirements for DIVA.ID that should be tested in subsequent feasibility, usability, and intervention studies. Full article

Background: Sustainable head and neck cancer (HNC) surgery is challenged by environmental impact, workforce shortages, inequitable access to advanced techniques, and policy constraints. Addressing these areas is critical for equitable, high-quality care. Methods: This structured narrative review synthesizes evidence on environmental sustainability, workforce development, technological innovation, health policy, and socioeconomic determinants in HNC surgery, without aiming to provide a systematic or exhaustive evidence synthesis. Sources included peer-reviewed literature, global workforce surveys, and international policy reports, with a focus on disparities between high-income countries (HICs) and low- and middle-income countries (LMICs). Results: Operating rooms produce up to 70% of hospital solid waste and consume 3–6 times more energy than other units; reusable instruments and improved waste segregation can reduce carbon footprints by over 50%. Workforce shortages are severe in LMICs, where subspecialty training is scarce; global partnerships, bidirectional education, and simulation-based learning can expand local capacity. Telemedicine, artificial intelligence, and three-dimensional printing enhance surgical planning, training, and access but may widen disparities without equitable deployment. Policy tools—including diagnosis-related groups, bundled payments, and universal coverage—affect access and innovation uptake. Pandemic preparedness underscores the value of resilient systems with flexible staffing and telehealth integration. Conclusions: HNC surgery requires coordinated action across environmental, workforce, technological, socioeconomic, and policy domains; however, future systematic reviews are needed to comprehensively map the evidence base and assess its methodological quality. Embedding sustainability in clinical practice, ensuring equitable innovation access, and aligning reimbursement with high-value care can strengthen system resilience, improve outcomes, and support long-term surgical service viability. Full article

Background/Objectives: Genitourinary cancers represent a major and growing source of cancer burden worldwide; however, important disparities persist across the Americas. This study aimed to evaluate the incidence, mortality, and disability burden of prostate, testicular, bladder, and kidney cancers across 38 countries and territories using Global Burden of Disease (GBD) 2023 estimates, with emphasis on temporal trends and sociodemographic inequalities. Methods: A descriptive ecological study was conducted using Global Burden of Disease (GBD) 2023 estimates. Age-standardized incidence, mortality, and disability-adjusted life year (DALY) rates per 100,000 population were analyzed for prostate, bladder, kidney, and testicular cancers. Burden estimates were obtained from GBD 2023 data, and temporal trend analyses were conducted using age-standardized rates from 2000–2023. Temporal trends were assessed using weighted log-linear regression to estimate annual percentage changes (APCs) based on age-standardized rates from 2000–2023. Results: In 2023, prostate cancer accounted for the greatest genitourinary cancer burden across the Americas, with high incidence concentrated in high-income North America, whereas mortality and DALY rates were disproportionately elevated in Latin America and the Caribbean. Across all cancer types, high-SDI regions consistently exhibited higher incidence but more favorable mortality and disability profiles. Testicular cancer incidence increased across all SDI quintiles, although mortality reductions were mainly observed in high-SDI settings. Bladder and kidney cancers demonstrated similar epidemiological patterns, with declining mortality trends in high-income regions but persistent or increasing burden in lower-SDI countries. Mortality-to-incidence disparities remained substantial across Latin America and the Caribbean, which may reflect differences in healthcare resources, early detection, treatment availability, or other contextual factors not directly captured in the GBD database. National extremes included Bermuda prostate ASIR 170.63 and Dominica DALYs 1423.30 per 100,000. Conclusions: The burden of genitourinary cancers across the Americas remains strongly associated with socioeconomic inequalities. Although higher-resource settings have achieved important reductions in mortality and disability, these gains have not been equitably distributed across the region. Strengthening health system capacity, improving early diagnosis, and ensuring equitable access to evidence-based cancer care are essential to reduce avoidable mortality and improve long-term outcomes throughout the Americas. Full article

Healthcare-associated infections (HAIs) remain a major public health concern, contributing to increased morbidity, mortality, and antimicrobial resistance. Healthcare workers (HCWs) are recognized as key vehicles in the transmission of nosocomial pathogens, primarily via contaminated hands and medical devices. This study assessed the effectiveness of hand hygiene protocols among HCWs, their correlation with bloodstream infections, and the potential of natural antimicrobial agents as complementary preventive measures. Between January and June 2025, 128 hand samples were collected from HCWs in surgical, intensive care, and internal medicine units of hospitals managed by ASL Caserta (Marcianise, n = 65; Piedimonte Matese, n = 30; Sessa Aurunca, n = 18; Maddaloni, n = 15). Sampling was performed upon entry to clinical areas and after antiseptic handwashing, using Rodac TSA plates to quantify microbial load (CFU/cm²). Isolates were identified via MALDI-TOF, and multidrug resistance was confirmed using the Phoenix BD system. Microbial growth was detected in 54.7% of samples. Coagulase-negative staphylococci, mainly Staphylococcus epidermidis and S. hominis, accounted for 67.1% of positive cultures, followed by Enterobacteriaceae (28.6%). Comparison with concurrently collected blood cultures revealed potential overlapping pathogens, with Staphylococcus spp. prevalence ranging from 35 to 56% and Gram-negatives from 18 to 39. Selected isolates were further tested for susceptibility to natural antimicrobial agents, derived from hop, red vine leaf, green tea, and pomegranate fruit, as well as thyme essential oil. Thyme essential oil (Thymus vulgaris) demonstrated notable antimicrobial activity, in several cases surpassing that of standard hygiene agents. These findings highlight not only that maintaining high standards of hand hygiene, proper care of invasive devices, and continuous microbiological surveillance is critical for preventing HAIs, but also that incorporating natural antimicrobial compounds into hygiene protocols may provide an effective and sustainable adjunct to reduce microbial contamination and combat infections caused by multidrug-resistant organisms. Full article

Background/Objectives: Medication-related harm is a leading global patient safety challenge, yet patients’ lived experiences of medication safety remain underexplored in Central and Eastern European healthcare systems, where structural constraints significantly shape everyday medication use. Methods: This study provides an in-depth qualitative analysis of Hungarian patients’ online narratives, building on a prior netnographic mixed-methods study. Using grounded theory-informed principles and a patient-centred medication safety framework, we inductively analysed 5174 publicly accessible Hungarian-language comments posted on health forums and social media platforms between August 2020 and August 2023. The COM-B model was applied as a secondary lens to map findings onto modifiable behavioural determinants. Results: Access to services and communication emerged as the dominant medication safety concerns. Patients reported long waiting times, limited rural emergency services, and brief consultations leading to delayed or inadequate treatment. Communication gaps included insufficient information on medication duration, side effects, and follow-up, as well as conflicting advice from multiple sources, all of which eroded trust and prompted treatment discontinuation or reliance on informal online communities. Community pharmacists were largely absent from patients’ mental models of care, representing a significant missed opportunity given their accessibility. Less frequently mentioned were medication shortages, healthcare professional workload, and systemic safety culture. Conclusions: Clear, respectful communication and timely access to care are central to medication safety from the patient perspective. Netnography combined with a grounded theory-informed methodology offers a valuable approach for capturing authentic patient perspectives in structurally burdened healthcare systems, with findings relevant beyond the Hungarian context. Full article

Background: Women veterans with HIV represent a growing, diverse population within the Veterans Health Administration (VHA). This study examined HIV care continuum outcomes among women veterans using a multilevel intersectional approach. Methods: We conducted a retrospective analysis of 1154 women veterans with HIV in VHA care in fiscal year 2022, with outcomes assessed in fiscal year 2023. We applied Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to evaluate how combinations of social positions (age, race/ethnicity, housing status) were associated with HIV outcomes. Results: MAIHDA models showed that younger age (<45 years) and being unhoused were consistently associated with lower odds of care engagement and viral suppression than midlife (45–64) and older (65+) housed women veterans. Additionally, predicted probability analyses revealed distinct clustering patterns. Younger non-Hispanic White women consistently ranked among the lowest performing strata across all outcomes, while midlife and older Hispanic and non-Hispanic Black women veterans clustered among the highest. Variance Partition Coefficients from null models were modest (1.8–3.0%). Fully adjusted models showed no remaining between-stratum variance, suggesting that the included social positions explained the observed differences in our dataset. Conclusions: These findings highlight disparities in HIV care engagement concentrated among specific groups and reinforce the importance of addressing individual- and system-level barriers to engagement and continuity of care among women Veterans in VHA care. Full article

Background/Objectives: Prostate biopsy is essential for diagnosing prostate cancer. Social determinants of health (SDOH), including socioeconomic status, race, occupation, education, and environment, affect access, outcomes, and quality of life. Recognizing disparities from technology access to complications is crucial for equitable care. A systematic review examined how SDOH impacts biopsy access, technology, and complications. Methods: A systematic search of PubMed, Web of Science, and Scopus was performed to identify eligible studies published through February 2026. We included studies that evaluated the association between one or more SDOHs and prostate biopsy. Relevant outcomes included biopsy utilization, use of specific biopsy technologies (e.g., magnetic resonance imaging (MRI)-guided, transperineal), and post-procedural complications. Results: Nine observational studies met the inclusion criteria. The findings revealed disparities across three key domains. First, access to advanced biopsy technology was uneven. Four studies showed that Black men were significantly less likely than White men to receive MRI-guided biopsies. Additionally, post-biopsy outcomes showed that Black and Hispanic men faced significantly higher rates of post-biopsy infection and hospitalization compared to White men. Lastly, patients in rural areas, those in public hospitals, and individuals with lower socioeconomic status demonstrated reduced access to modern techniques, including MRI-guided or transperineal biopsy. Conclusions: Social and economic factors influence who receives a prostate biopsy and who has access to advanced technologies. Minority and low-income patients face diagnosis barriers and higher complication rates, highlighting systemic inequities. The healthcare system often rewards access over need, and without bold policy changes, gaps in technology and resources will worsen, moving us further from truly equitable prostate cancer care. Full article

Background: Despite being considered a country with a larger health workforce in Africa, the South African health workforce continues to experience shortages and a maldistribution of health workers across regions and sectors. Current projections suggest that the workforce is expected to decline further, especially among doctors, nurses and midwives, in large part, due to attrition—which could compromise the delivery of primary health and maternity services. These health workforce shortages and uneven distribution threaten the sustainability and effectiveness of health services in South Africa and drives the need to investigate the factors that may be influencing career choice and change decisions among health professionals in South Africa. Methods: A qualitative exploratory study, making use of purposive sampling and semi-structured interviews, was conducted to investigate the factors influencing career choice and change decisions among health professionals in South Africa. The participants were qualified health professionals in the fields of medicine, nutrition, pharmacy, nursing, and psychology working in the private, public, and academic sectors. Data was collected until saturation was achieved and then thematically analyzed using MAXQDA 24. Results: A total of 10 participants made up of three males and seven females were interviewed. These participants worked in different employment sectors with some having dual roles in private practice, public sector, and academia. The analysis revealed three major themes that capture the nature of and factors influencing career choice and career changes occurring in South Africa. The first theme related to factors influencing career choice (including altruism, family influence, personal experiences, financial/job security, academic achievement, career guidance, and opportunity for change). The second theme focused on career change dynamics (nature of career changes and career transitions occurring in the form of specialization, switching health professions, exiting health professions, adding non-health interests, and shifting focus areas). The third theme revealed factors influencing career change. These were categorized into personal and individual factors, workplace or job-specific factors, and administrative factors. This study has contributed to understanding the career choices and career changes taking place within the health professions in South Africa. It has also revealed a need for reforms in policy and practice for the current health professionals who have no intention of changing their careers while highlighting implications for future training of health professionals. Also, addressing the challenges of poor working conditions, lack of support, unemployment and placement delays, and other administrative barriers will help mitigate some of the issues leading to health workforce shortages and inequities in the South African context. Conclusions: The strongest motivator for choosing a career in health professions is the desire to care for others, while retention of the health workforce is challenged by personal, workplace, and administrative factors. Enhancing workplace conditions and support systems, implementing policy reforms, and minimizing administrative barriers is essential for achieving universal health coverage and sustaining a resilient health workforce in South Africa. Full article