Search Results (601)

Objective: To evaluate the association between daily meteorological variability and pediatric afebrile seizure presentations using ecological time-series analysis and Distributed Lag Non-linear Models (DLNMs). Methods: This retrospective ecological time-series study was conducted in a tertiary pediatric emergency department in northwestern Türkiye. Pediatric seizure-related presentations recorded between January 2019 and December 2023 were retrospectively screened for case identification and clinical validation. The primary environmental exposure analysis was restricted to eligible afebrile seizure presentations occurring during the 2023 calendar year and linked to synchronized daily meteorological data. Associations between meteorological variables and daily afebrile seizure presentation counts were assessed using multivariable Quasi-Poisson regression and Distributed Lag Non-linear Models (DLNMs). Results: Among 777 screened seizure-related presentations, 67 children contributing 157 afebrile seizure presentations during 2023 were included. Relative humidity showed the strongest independent association with pediatric afebrile seizure presentations. Each 10-percentage-point increase in relative humidity was associated with an 18.6% higher rate of pediatric afebrile seizure presentations (IRR = 1.186; 95% CI: 1.103–1.275; p < 0.001). DLNM analysis demonstrated a significant cumulative delayed association, with a 10-percentage-point increase in relative humidity associated with a 15% higher cumulative rate of afebrile seizure presentations across the 0–3-day lag period (cumulative IRR = 1.15; 95% CI: 1.08–1.22; p < 0.001). Ambient temperature and precipitation demonstrated less consistent associations across analytical approaches, whereas humidity-related effects remained robust throughout all analyses. Conclusions: Higher relative humidity was associated with increased pediatric afebrile seizure presentations and represented the only meteorological exposure demonstrating both significant contemporaneous and cumulative delayed associations. These findings suggest that meteorological variability, particularly relative humidity, may contribute to short-term and delayed fluctuations in seizure-related healthcare utilization among children. Given the single-center ecological design and the one-year environmental exposure period, these findings should be interpreted as population-level and hypothesis-generating and should not be considered a basis for individual risk prediction or humidity-based clinical counseling. Further multicenter, multi-year prospective studies incorporating individual-level and higher-resolution environmental exposure assessment are needed to confirm these findings and clarify the biological mechanisms underlying humidity-associated seizure susceptibility in pediatric populations. Full article

The term inborn errors of immunity (IEI) is now widely used to describe many conditions historically known as primary immunodeficiency disorders (PIDs), comprising a heterogeneous group of rare diseases that affect immune system development and/or function and increase the risk of inflammation, infection, immune dysregulation, and malignancy. In Saudi Arabia, the clinical impact of PID/IEI is particularly significant owing to the high consanguinity rates, delayed diagnosis, variable access to specialized immunology services, and limited national records. This narrative review summarizes the available literature on PID/IEI in Saudi Arabia, emphasizing the epidemiology, clinical impact, diagnostic delay, treatment access, healthcare system challenges, and evidence gaps. Relevant literature was identified through searches of PubMed, Scopus, Web of Science, and Google Scholar, supplemented by regional and grey literature, where applicable. The available evidence suggests that PID/IEI remains underrecognized in Saudi Arabia, with published data largely derived from single-center studies, selected cohorts, and hospital-based registries. The current literature highlights important recurring themes, including the significance of consanguinity, the high reported incidence of severe combined immunodeficiency (SCID) in selected studies, timely diagnosis, registry data, and the value of strengthening screening and referral pathways. However, evidence regarding treatment costs, long-term morbidity, quality of life, and regional disparities in access to care remains scarce. Establishing national PID/IEI registries, expanding newborn screening, enhancing primary-care physicians’ awareness, improving genetic diagnostic capacity, and developing clearer referral pathways are important priorities to improve early diagnosis, patient outcomes, and healthcare system preparedness in Saudi Arabia, prioritized by healthcare authorities under Saudi Vision 2030. Full article

Background: Family and community are key support sources for children and adolescents with chronic illnesses. This study aimed to map the characteristics of family- and community-centered interventions for pediatric chronic somatic disease. Methods: This scoping review followed the Arksey and O’Malley guidance. Through a systematic search in Medline (PubMed), EMBASE, PsycINFO, Cochrane, and CINAHL, free web sources, the gray literature, and citations, we identified publications of randomized controlled trials evaluating family- and community-centered interventions for children aged 0–17 years with asthma, type 1 diabetes, or juvenile idiopathic arthritis. Two or more reviewers independently conducted screening, verification of machine-assisted data extraction, risk-of-bias assessment, and narrative synthesis. Results: Of 7285 items identified, we included 76 publications on 71 interventions comprising 16,342 participants (median n = 157; IQR 81–303; range 12–1316) with a median age of 9 (range 0–19) years. Interventions incorporating educational, psychosocial, and care-coordination elements targeted asthma (68%), type 1 diabetes (29%), and juvenile idiopathic arthritis (3%) that had lasted ≤6 months (63%) and were delivered in person (83%) by healthcare professionals (62%). Primary outcomes included symptom burden (44%), coping with the disease (24%), disease control (20%), activity participation, child psychosocial functioning, medication or healthcare use (18% each), or child quality of life (17%). Usual care (59%) and other treatment (31%) were frequent comparators. Conclusions: Most interventions were short-term, healthcare professional-led multicomponent programs compared with usual care. Primary outcomes targeted symptom management and disease control. Mixed diagnoses, peer support, family activities, and non-professional delivery were uncommon. This study identified gaps in diagnosis coverage and the need for additional high-quality studies. Full article

Background: Population ageing, multimorbidity, and chronic conditions have increased the demand for person-centred care in Primary Health Care. Current stratification systems rely on diagnoses or resource utilization and fail to capture the multidimensional nature of care complexity, which also depends on functional, social, environmental factors. Objective: To develop a HealthCare Complexity Index using routinely collected electronic health record (EHR) data and the Person-Centred Care Knowledge Model. Methodology: A retrospective, cross-sectional observational study was conducted in Primary Health Care in the Community of Madrid (Spain). Deductive Care Methodology was used to identify functional assessment variables associated with four care dimensions: vulnerability, risk, etiology, and signs/symptoms. A multidisciplinary expert panel selected and validated the variables through iterative consensus rounds. A weighted scoring algorithm, the Care Complexity Index, was designed to quantify care complexity on a 0–100 scale. Relationships between the selected variables and NANDA-I nursing diagnoses were established and validated by an expert in standardized nursing languages. Results: 27 assessment variables were identified and classified into the 4 dimensions of the care model. These variables were integrated into a weighted complexity index with five severity levels ranging from low to critical complexity. Furthermore, 48 NANDA-I nursing diagnoses were linked to the selected variables. Conclusions: The HealthCare Complexity Index provides a standardized, person-centred approach for estimating care complexity using routinely available (EHR) data. It may support early identification of individuals with complex care needs, facilitate individualized care planning, and strengthen clinical decision-making. Future studies should validate its predictive performance and implementation in other clinical practice. Full article

Background: Genetic eye diseases (GEDs) comprise a heterogeneous group of hereditary and de novo disorders that involve all ocular structures, including the retina, optic nerve, vitreous, anterior segment, and ocular development. Their marked clinical and genetic heterogeneity frequently delays diagnosis and access to genetic counseling, multidisciplinary management, and emerging gene-based therapies. Although ophthalmic deep phenotyping remains essential, we propose an approach that prioritizes genetic analysis, particularly in under-resourced healthcare settings with limited access to advanced imaging and electrophysiological tests. Methods: We conducted a retrospective observational study of 101 consecutive patients with suspected genetic eye diseases. All were evaluated at a tertiary referral center in northeastern Mexico between January 2020 and August 2023 through comprehensive ophthalmologic examination supplemented by optical coherence tomography, visual-field testing, and fundus photography when clinically indicated. All patients were offered early molecular testing while awaiting future tests, such as electrophysiological testing or further referral visits. Molecular testing consisted of an ophthalmology-focused next-generation sequencing multigene panel. Results: The primary outcome was molecular diagnostic yield. A clinically actionable molecular diagnosis was established in 45 patients, corresponding to an overall molecular diagnostic yield of 44.6%. A total of 165 variants were identified, including 70 pathogenic, 16 likely pathogenic, 43 variants of uncertain significance, and 36 likely benign variants. Usher syndrome was the most frequent molecular diagnosis (10/45, 22.2%), comprising nine patients with USH2A-associated Usher syndrome type 2 and one patient with MYO7A-associated Usher syndrome type 1B, followed by Stickler syndrome (8/45, 17.8%), oculocutaneous albinism (3/45, 6.7%), and Alström syndrome (2/45, 4.4%). Autosomal recessive disorders represented the predominant inheritance pattern (68.9%). Conclusions: Our findings support ophthalmology-focused multigene panels as an effective first-line diagnostic strategy for patients with suspected genetic eye diseases. Early molecular testing may shorten the diagnostic odyssey, optimize resource utilization, facilitate precision diagnosis and genetic counseling, and guide future targeted deep phenotypic evaluation, prognosis, and eligibility for emerging gene-specific therapies. Full article

Type 2 diabetes mellitus (T2DM) can substantially affect patients’ quality of life (QoL), yet evidence from Al-Buraimi Governorate, Oman, is limited. This study assessed diabetes-specific QoL and its associated sociodemographic and clinical factors among adults with T2DM attending a primary healthcare diabetes clinic. A cross-sectional analytical study was conducted among 364 adults with T2DM between October and December 2024. Face-to-face interviews were carried out to collect data using a validated Arabic Diabetes Quality of Life (DQoL) questionnaire and a structured clinical and sociodemographic form. Differences in overall DQoL scores were assessed using independent-samples t-tests and one-way ANOVA, followed by Games–Howell post hoc comparisons where appropriate. Multivariable linear regression was used to identify independent factors associated with overall DQoL. Higher DQoL scores indicated poorer QoL. In multivariate regression analysis, gender, education status (university versus high school graduates), HbA1c, duration of diabetes (5–10 years versus <5 years), treatment modality (diet alone versus oral medications) and diabetes-related complications were significantly associated with overall DQoL. These findings support incorporating diabetes-specific QoL assessment into patient-centered diabetes care, particularly for patients with poor glycemic control and diabetes-related complications. Full article

Background: Depression is a major health issue among older adults and is frequently accompanied by chronic physical conditions. Conventional care of depression in older adults is delivered through primary care settings and often fails to address the complex interactions between mental health, physical illness, and social determinants of health in this population. Integrated care models, characterized by coordinated, multidisciplinary, and patient-centered approaches, have emerged as a promising strategy for improving depression outcomes in late life. Objective: This scoping review aimed to characterize integrated care models for managing depression in older adults. The review examined the structure and implementation of these models and evaluated depression-related outcomes. Methods: A systematic literature search was conducted in PubMed and Google Scholar. Studies published in English between 2006 and February 2026 were considered. Eligible studies included randomized controlled trials (RCTs), cluster RCTs, and quasi-RCTs that evaluated integrated care interventions targeting depression in adults aged 65 years or older or mixed adult populations that included older adults. One reviewer conducted the search and initial screening, and four additional reviewers evaluated the eligibility of full-text reports and extracted data using a structured template. Results were synthesized descriptively. Results: Seventeen studies met the inclusion criteria. Integrated care interventions were implemented across primary care clinics, community health centers, and home healthcare programs in several countries. Participants commonly had depression alongside chronic medical conditions, including diabetes, hypertension, heart failure, or chronic obstructive pulmonary disease. Integrated care models varied in staffing, therapeutic components, specialist involvement, delivery intensity, and comparator conditions. Most interventions incorporated multidisciplinary care teams; structured symptom monitoring; care coordination; behavioral or psychological interventions; and, in some studies, chronic disease management, social support, or technology-supported follow-up. Thirteen studies reported a favorable depression-related finding at one or more assessment points; however, benefits were not always sustained, and some studies reported null- or comparator-favoring findings. Conclusions: Integrated care for depression in older adults encompasses heterogeneous models implemented across diverse healthcare contexts. Common themes included multidisciplinary collaboration, coordinated follow-up, structured psychological or behavioral treatment, symptom monitoring, and integration of mental and physical health management. Favorable outcomes were reported in most studies, but findings varied by population, setting, comparator, intervention intensity, and follow-up duration. These findings may inform future program design, although the effectiveness of the integrated care models and the independent contribution of individual components remain uncertain. Full article

Background/Objectives: Healthcare service quality is a critical dimension of patient safety and operational performance. Traditional assessment approaches are often limited in their ability to support prediction, which has increased interest in machine learning (ML) models. This systematic review assessed the effectiveness of ML algorithms in predicting healthcare service quality metrics, with emphasis on their applications, comparative performance and implementation challenges. Methods: A systematic literature search was conducted in PubMed/MEDLINE, Scopus, CINAHL, and ScienceDirect for studies published between 1 January 2020 and 30 July 2025. Following title/abstract screening and full-text review, 49 studies were included. Studies were grouped into conventional/ensemble ML and deep learning categories based on the primary model class analyzed in each article. Results: The reviewed studies focused mainly on acute clinical and operational outcomes, especially length of stay (27.0%), mortality (23.0%), and readmission rates (18.0%), while subjective, patient-centered metrics received less attention. Conventional and ensemble ML models, particularly RF and XGBoost, were frequently reported, while deep learning models were used in more complex prediction tasks. Conclusions: The evidence suggests that well-validated and interpretable ML models can support healthcare quality prediction. However, important challenges remain regarding implementation, validation, generalizability, and data heterogeneity. Full article

Background/Objectives: The combined goal of achieving both clinical and endoscopic remission has highlighted the need for strategies that support a treat-to-target approach in inflammatory bowel disease (IBD). A proactive monitoring strategy involves scheduled assessments regardless of symptoms to detect subclinical disease activity and enable timely treatment adjustments, whereas a reactive approach initiates evaluation only in response to clinical deterioration or objective signs of active disease. This study investigated whether proactive monitoring improves the achievement of treatment goals compared with a reactive strategy. Methods: In this prospective cohort study carried out between September 2020 and July 2022, patients with IBD receiving biologic therapy were managed according to a predefined proactive monitoring schedule and prospectively followed for one year. A control group, matched for age, sex, diagnosis, and treatment, was enrolled from another tertiary IBD center using a reactive monitoring strategy; their clinical course over one year was reconstructed retrospectively from medical records. All patients underwent colonoscopy assessment at one year. The primary outcome was treatment failure, defined as inadequate mucosal healing or symptom control, the need for intestinal surgery, or discontinuation of biologic therapy due to insufficient efficacy. Results: A total of 162 patients were included (91 managed proactively and 71 managed reactively). In the intention-to-treat population, treatment failure occurred in 67 patients (74%, 95% confidence interval (CI) 63–84%) in the intervention group and 60 patients (85%, 95% CI 75% to 94%) in the control group (difference 11%, CI −3% to 25%, p = 0.13). In the per-protocol analysis, 44 of 69 patients (64%, CI 50% to 78%) in the intervention group experienced treatment failure compared with 43 of 53 patients (81%, CI 60% to 93%) in the control group (difference 17%, CI −1% to 36%, p = 0.06). Patients in the proactive monitoring group underwent significantly more disease-monitoring assessments than those managed reactively. Conclusions: Proactive monitoring numerically improved combined clinical and endoscopic outcomes compared with reactive management, but this did not reach statistical significance and resulted in substantially greater healthcare resource utilization. Full article

Background/Objectives: Wearable devices, such as smartwatches, represent an emerging digital health tool that can enhance patient engagement, support patient-provider communication, and enable more personalized, patient-centered care. Understanding public willingness to share health-generated data with healthcare providers is essential for informing digital health implementation strategies that prioritize patient trust and active participation in the care process. This study aimed to address this gap by assessing the willingness of a sample of smartwatch users in Riyadh to share their health-generated data and identifying factors associated with this willingness. Methods: A cross-sectional study was conducted using venue-based convenience sampling at a large public venue in Riyadh, Saudi Arabia. Data were collected using an electronic self-administered questionnaire. Descriptive statistics summarized participant characteristics, while bivariate analyses and multivariable logistic regression were used to examine factors associated with willingness to share health-generated data. Results: Among the 391 participants, 168 reported owning a smartwatch and comprised the population for the primary analysis of willingness to share health-generated data. Among smartwatch owners (n = 168), 104 (62%; 95% CI: 54–69%) expressed willingness to share their health-generated data. Among those willing to share, healthcare providers were the most preferred recipients (95%, 99/104), followed by family members and friends (63%, 66/104). Most demographic, socioeconomic, health-related, and behavioral characteristics were not significantly associated with willingness to share; however, in bivariate analysis, previous use of online support groups was significantly associated with greater willingness to share health-generated data (OR 5.00; 95% CI: 1.66–15.10; p = 0.002). None of the predictors included in the multivariable model was independently associated with willingness to share. Conclusions: Most smartwatch users were willing to share their health-generated data with healthcare providers, reflecting positive public attitudes toward integrating this data into healthcare systems. These findings support Saudi Arabia’s digital health transformation initiatives, while highlighting the need to address privacy, trust, and data governance to enable successful implementation. Full article

Background/Objectives: While Lebanon’s Vision 2030 prioritizes strengthening Lebanon’s chronically constrained, fragmented, and shocked primary healthcare system, implementation is hindered by weak sensing mechanisms, misaligned spatial distribution, and poorly integrated referral pathways. This study develops a preliminary, context-specific, systems-level healthcare policy assessment and framework for primary healthcare reform by applying biomimicry principles derived from the drought-resistant root architecture of grapevine (Vitis vinifera). Methods: Publicly available data from the Lebanese Ministry of Public Health, national assessments, and non-governmental organization registries were synthesized to examine mismatches between healthcare need and service capacity. We developed a preliminary healthcare Need Score for Lebanon’s eight governorates based on clinical demand, capacity strain, and socioeconomic vulnerability. An Agent-Based Approach within a biomimicry framework was used to translate grapevines’ biological strategies into healthcare policy design principles. Results: Structural deficiencies were identified in Lebanon’s primary healthcare system, including absence of standardized need-based sensing, uneven geographic service distribution, weak-referral integration, and limited adaptive feedback. Our preliminary Need Score was used four clinical demand indicators for iron deficiency, neonatal and maternal deaths, pre-mature births and birth defects, and disease incidence. Service-capacity strain indicators were primary healthcare center density and staffing. Finally, socioeconomic vulnerability indicators were percentages for non-Lebanese population and food insecurity. The proposed policy framework can translate frontline stress signals to rule-based responses, guide adaptive redistribution of capacity, and structurally anchor primary healthcare centers to referral hubs through defined catchments and electronic referral loops. Conclusions: Biomimicry can shed insight into how to improve primary healthcare governance under chronic scarcity. Need Scores and biological resilience principles can strengthen primary healthcare systems in low-resource settings while aligning with healthcare policy objectives like those in Lebanon’s Vision 2030. Full article

Substance use disorders (SUDs) represent a major psychiatric and public health burden. Although integrated biopsychosocial approaches combining pharmacotherapy with psychosocial and behavioral interventions are recommended by international guidelines, real-world evidence on their effectiveness in acute emergency settings remains scarce, particularly in Eastern European healthcare contexts. This single-center, retrospective, observational study examined behavioral and psychosocial predictors of clinical response and compared an integrated therapeutic strategy (pharmacotherapy combined with psychosocial and behavioral interventions) with pharmacotherapy alone among all emergency psychiatric admissions for SUDs (ICD-10 F10–F19) at the Clinical Psychiatric Hospital “Elisabeta Doamna,” Galați, Romania, between January 2020 and December 2024 (N = 331; census sampling). The primary outcome was clinical status at discharge (improved/stationary/worsened). Patients receiving the integrated strategy showed a significantly higher improvement rate at discharge than those receiving pharmacotherapy alone (98.3% vs. 76.3%; OR = 17.88; 95% CI: 5.62–56.91; p < 0.001). A hospitalization window of 4–14 days was associated with optimal outcomes. In an exploratory logistic regression analysis, older age (≥51 years) and unemployment emerged as independent psychosocial predictors of suboptimal response. These findings suggest that integrating behavioral and psychosocial interventions with pharmacotherapy is associated with superior discharge outcomes in acute SUD management; given the observational, non-randomized design, these results should be regarded as hypothesis-generating rather than causal, pending confirmation in prospective multicenter studies before informing behaviorally informed triage and risk stratification in emergency psychiatry. Full article

Background/Objectives: Social determinants of health, including income, age, education, and gender, have been proposed to shape diabetes self-care capacity, yet their joint associations within Saudi Arabian primary healthcare populations remain poorly delineated. Anchored within the World Health Organization’s Commission on Social Determinants of Health framework and the Social Ecological Model, this study examined both the unadjusted and, via multivariable regression, adjusted associations of four sociodemographic factors with diabetes self-care management and health literacy among adults in southern Riyadh. Methods: A cross-sectional correlational design was employed with 92 adults with type 2 diabetes recruited from primary healthcare centers in southern Riyadh. Data were collected using the Arabic HLS-Q12 (health literacy) and SDSCA-Arabic (self-care management). Non-parametric Spearman rank-order correlations were conducted to examine bivariate associations. Multivariable linear regression was subsequently performed to estimate adjusted associations for each sociodemographic variable. Bivariate analyses were conducted using IBM SPSS Statistics for Windows, Version 25.0 (IBM Corp., Armonk, NY, USA), while multivariable linear regression analyses were performed using Python version 3.12 with the statsmodels package. Results: Income level showed significant, moderate positive unadjusted correlations with both self-care management (rs = 0.40, 95% CI [0.21, 0.56], p < 0.01) and health literacy (rs = 0.41, 95% CI [0.22, 0.57], p < 0.01). Age showed the strongest negative unadjusted correlation with self-care management (rs = −0.49, 95% CI [−0.63, −0.31], p < 0.01) and a significant negative correlation with health literacy (rs = −0.36, 95% CI [−0.53, −0.17], p < 0.01). Educational attainment was significantly associated with both self-care management (rs = 0.29, 95% CI [0.09, 0.47], p < 0.01) and health literacy (rs = 0.26, 95% CI [0.06, 0.44], p < 0.05). Gender did not reach statistical significance for either outcome. A multivariable model adjusting for all four sociodemographic variables confirmed that income and age remained independently associated with both outcomes, whereas education and gender did not. These findings do not establish independent or causal effects from the bivariate correlations alone; the adjusted results are reported separately below. Conclusions: Income and age were independently associated with both diabetes self-care and health literacy after multivariable adjustment, whereas education and gender were not. Findings support equity-focused nursing interventions and age-responsive diabetes education attentive to the social patterning of self-care disparities in southern Riyadh. Full article

Background/Objectives: Chronic low back pain (CLBP) is the leading global cause of years lived with disability, but long-term real-world evidence for non-surgical management remains scarce, particularly in low- and middle-income countries. This study aimed to describe 5-year trajectories of pain, disability, healthcare utilization, patient satisfaction, and surgical conversion among patients with non-specific CLBP initially managed non-surgically at a tertiary spine center in Northwest China. We also compared long-term outcomes between unimodal therapy and multidisciplinary biopsychosocial care and examined baseline demographic, clinical, and psychosocial predictors of treatment success and conversion to surgery. Methods: We conducted a 5-year retrospective cohort study of consecutive patients with non-specific CLBP at a tertiary spine center in Northwest China. Of 485 consecutive patients screened for eligibility, 420 were enrolled and were compared on the basis of unimodal therapy with multidisciplinary biopsychosocial care. Primary outcomes were pain (Numerical Pain Rating Scale, NPRS) and disability (Oswestry Disability Index, ODI), analyzed using linear mixed-effects models; predictors of surgical conversion were identified via multivariable Cox regression. Results: Of the 420 patients, 352 (83.8% retention) completed the 5-year follow-up. Both pain and disability improved substantially during the first 12 months. Thereafter, pain intensity increased slightly (NPRS from 4.8 to 5.4), whereas functional disability continued to improve (ODI from 31.7 to 26.5). Early multidisciplinary care was associated with sustained superior outcomes (adjusted functional disability (ODI) difference: −8.2 points at 5 years) and a 42% lower observed risk of surgery (HR = 0.58). The cumulative 5-year surgical rate was 14.2%, with high pain catastrophizing as the strongest independent predictor (HR = 3.10). Conclusions: In patients with non-specific CLBP, non-surgical management yields substantial 12-month gains; function continues to improve through 5 years, while pain shows partial recurrence. Early multidisciplinary biopsychosocial care was associated with more durable outcomes and lower surgical conversion; because treatment was not randomized, these associations warrant confirmation in pragmatic trials and support routine psychosocial screening and stratified care. Full article

Background/Objectives: Although current guidelines (European Society of Gastrointestinal Endoscopy [ESGE] 2024, U.S. Multi-Society Task Force [USMSTF] 2020) recommend cold snare polypectomy (CSP) over cold forceps polypectomy (CFP) for small colorectal polyps, CFP remains widely used. Comparative economic data using real institutional pricing are scarce, limiting evidence for guideline-concordant resource allocation. We evaluated the healthcare economics and procedural outcomes of CSP versus CFP to assess their institutional resource implications. Methods: This prospective cohort study analyzed 153 consecutive patients (181 polyps ≤ 9 mm) at a single tertiary care center (June–October 2025). Technique allocation was based on endoscopist preference. The primary outcome was histopathologically confirmed complete resection; secondary outcomes were one-piece resection rate, procedure time, and cost outcomes based on institutional pricing. Firth penalized logistic regression, propensity score matching, and a neoplastic-restricted sensitivity analysis were performed. Results: Complete resection rates did not differ significantly (CSP 97.4% vs. CFP 94.2%, p = 0.29). CSP achieved higher one-piece resection rates (96.2% vs. 84.5%, p = 0.011) and shorter procedure time (median 3.2 vs. 5.1 min, p < 0.001). For 6–9 mm polyps, piecemeal resection was reduced with CSP (6.8% vs. 28.6%, p = 0.010). Despite higher device costs ($6 vs. $3), direct device-plus-labor cost was lower for CSP ($18.06 vs. $22.24, p < 0.001), with no statistically significant difference in complete resection. High-grade dysplasia was the only variable independently associated with incomplete resection. Findings were consistent in propensity score-matched (n = 61 pairs) and neoplastic-restricted (n = 134) analyses. Conclusions: By reducing direct device-plus-labor costs by 19% while improving one-piece resection, and remaining consistent across multivariable, propensity score-matched, and sensitivity analyses, these findings indicate that, within a cost-minimization framework, CSP is a cost-saving, guideline-concordant technique with no statistically significant difference in complete resection or observed adverse events. Full article