Healthcare最新文献

Background: With the growing emphasis on full-process disease management, efficient post-discharge care has become increasingly critical. Although prior studies have examined follow-up services, resource allocation, and facility location in primary healthcare, model-based optimization of collaborative frameworks between comprehensive hospitals and primary care systems remains limited. Methods: We study a cooperative community hospital selection problem involving contractual cooperation, patient engagement, and follow-up resource allocation. A multi-objective mixed-integer programming model is developed to maximize patient accessibility and minimize total hospital costs, and an NSGA-II-based heuristic is proposed for solution generation. A real-world case study using data from a comprehensive hospital in Chengdu, China, is conducted. Results: The proposed approach produces a Pareto set that quantifies the accessibility-cost trade-off and reveals a knee region with diminishing returns: moderate expansion of cooperating providers substantially improves accessibility, whereas further expansion yields limited additional gains while increasing hospital cost. Sensitivity analyses indicate that cost-related parameters and follow-up frequencies are key drivers of the trade-off. Conclusions: The proposed optimization framework serves as an implementable decision aid for designing hospital-primary care collaboration for post-discharge follow-up: it supports partner selection and capacity planning and indicates levers to improve performance.

Background/Objectives: Safe delivery and correct identification of newborns are critical aspects of healthcare systems globally. The accreditation of healthcare and standards regulation significantly promotes the adoption of modern technologies to address risks related to infant abduction and misidentification. The effectiveness and extent of these mandates vary across settings and countries. Therefore, this study aims to map and explore modern technologies used for safe newborn delivery and correct identification aligned with healthcare accreditation and regulatory frameworks. Methods: This review adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis extension for scoping reviews (PRISMA-ScR) guidelines. The Problem, Intervention, Comparison, and Outcome (PICO) framework was employed to facilitate the development of the research question. This study examined studies reporting technologies such as radio frequency identification (RFID), biometric identification, and real-time monitoring across healthcare settings for infant protection through the Normalization Process Theory (NPT). Among three databases and search engines (PubMed, Google Scholar, and Web of Science). The risk of bias for each study was assessed using the AACODS Checklist, SQUIRE 2.0 Checklist, TIDieR Checklist, and JBI tools. Results: Out of 8753 records, only 27 reports were eligible to be included in this review. The most frequently reported technologies were RFID systems (11 studies, 37.9%) and biometric systems such as footprint and facial recognition (6 studies, 20.7%). Despite strong technological potential, many healthcare institutions struggled with the adoption of infant protection technologies. Accreditation systems among the high-resource settings actively mandate advanced technologies and support the integration of staff training and simulation drills. Comparably, middle- and low-income regions usually face challenges related to regulatory enforcement, infrastructure, staff readiness, and limited adoption of modern technologies. Conclusions: Accreditation and standards development are critical catalysts for the adoption of modern infant protection technology. Standards must be comprehensible, adaptable, and supported by investment in human resources and infrastructure. Future regulation must focus on strengthening enforcement, continuous quality improvement, and capacity building to achieve sustainable protection across the world.

Background/Objectives: Although cyberbullying among adolescents has been widely studied, relatively little attention has been paid to the overlapping roles through which cyberbullying is experienced. This study reconceptualizes cyberbullying involvement by classifying perpetration, victimization, and witnessing into eight mutually exclusive involvement types, enabling systematic and non-overlapping comparison of adolescents' experiences. The study further examines how engagement in individual-level cyber-risk indicators is associated with different patterns of cyberbullying involvement. Methods: The study analyzed nationally representative data from the 2022 Cyberbullying Survey conducted by the Korea National Information Society Agency, including 9693 students from elementary, middle, and high schools across South Korea. Individual-level cyber-risk indicators were assessed through multiple dimensions, including risky online behaviors, intensity of digital activity, peer environments, and awareness of harmful online behaviors. Multinomial logistic regression analyses were conducted to examine associations between individual-level cyber-risk indicators and the eight types of cyberbullying involvement. Results: Engagement in individual-level cyber-risk indicators was associated with increased odds of involvement in at least one cyberbullying type. Risky online behaviors and exposure to peers engaging in cyberbullying were linked to higher likelihood of both single and overlapping involvement patterns, whereas greater acceptance of harmful online behaviors was consistently associated with lower odds of victimization. Conclusions: These findings underscore cyberbullying as a relational and context-dependent phenomenon shaped by everyday digital practices and peer norms rather than isolated individual behavior. From a school social work perspective, the results support preventive, environment-focused interventions, including school-based media literacy education and institutionalized cyberbullying response systems, as promising strategies for reducing cyberbullying involvement among adolescents.

Background: This study examined how patients and caregivers perceive and experience AI-based care technologies through text mining analysis. The goal was to identify major themes, sentiments, and value-oriented interpretations embedded in their narratives and to understand how these perceptions align with key dimensions of patient-centered care. Methods: A corpus of publicly available narratives describing experiences with AI-based care was compiled from online communities. Natural language processing techniques were applied, including descriptive term analysis, topic modeling using Latent Dirichlet Allocation, and sentiment profiling based on a Korean lexicon. Emergent topics and emotional patterns were mapped onto domains of patient-centered care such as information quality, emotional support, autonomy, and continuity. Results: The analysis revealed a three-phase evolution of care values over time. In the early phase of AI-mediated care, patient narratives emphasized disruption of relational care, with negative themes such as reduced human connection, privacy concerns, safety uncertainties, and usability challenges, accompanied by emotions of fear and frustration. During the transitional phase, positive themes including convenience, improved access, and reassurance from diagnostic accuracy emerged alongside persistent emotional ambivalence, reflecting uncertainty regarding responsibility and control. In the final phase, care values were restored and strengthened, with sentiment patterns shifting toward trust and relief as AI functions became supportive of clinical care, while concerns related to depersonalization and surveillance diminished. Conclusions: Patients and caregivers experience AI-based care as both beneficial and unsettling. Perceptions improve when AI enhances efficiency and information flow without compromising relational aspects of care. Ensuring transparency, explainability, opportunities for human contact, and strong data protections is essential for aligning AI with principles of patient-centered care. Based on a small-scale qualitative dataset of patient narratives, this study offers an exploratory, value-oriented interpretation of how relational care evolves in AI-mediated healthcare contexts. In this study, care-ethics values are used as an analytical lens to operationalize key principles of patient-centered care within AI-mediated healthcare contexts.

Background/Objectives: Motor vehicle collision (MVC) cervical acceleration-deceleration (CAD) spine injuries are prevalent, costly, and complicated conditions. CAD injuries, or whiplash-associated disorders (WAD), present with neuromusculoskeletal signs and symptoms. In total, 50% of MVC WAD/CAD injuries result in chronic neck-related disability, of which 30% are moderate-to-severe. Poor recovery is associated with little-to-no recovery after 3 months. This study reports on health outcomes of patients with MVC/CAD injuries treated with Chiropractic BioPhysics^® (CBP^®) spinal rehabilitation beyond little-to-no recovery in neck pain (NP) and disability after 3-to-4 months. Methods: This multicenter retrospective consecutive series reports on patients who met inclusion/exclusion criteria from a records review from two private practices with advanced training in CBP^®. Results: In total, 51 patients (26 males), 18-74 years-of-age (mean age 42.8 ± 3.6 years), presented with post-MVC NP and disability. Pre-treatment radiographs revealed decreased cervical curvature (ARA C2-C7) measuring -10.3 ± 2.0° (ideal is -42.0°) and anterior head translation (Tz C2-C7) measuring 28.5 ± 2.0 mm (ideal is 0 mm). The pre-treatment NP numeric rating scale (NRS) scored 6.0 ± 1.0, and the neck disability index (NDI) scored 54.3 ± 9.3% (severe). Patients were treated using CBP^® for 64.5 ± 4.7 visits over 31.6 ± 3.7 weeks. Post-treatment radiographs revealed an improved ARA C2-C7 to -22.5 ± 2.3° and Tz C2-C7 to 15.9 ± 1.6 mm (p < 0.001). Subsequent 3-to-4-month re-exam showed little-to-no change in NP and disability outcomes. Post-treatment outcomes at a mean 18.5 weeks after the 3-to-4-month re-exam showed significant (p < 0.001) improvements in NP NRS to 1.1 ± 0.7 and NDI to 6.8 ± 5.5 (minimal). Conclusions: CBP^® improves cervical lordosis and posture, which may help improve moderate-to-severe WAD/CAD spine injuries beyond 3-to-4 months of little-to-no recovery.

Objective: In Vitro Fertilization (IVF) has revolutionized reproductive medicine, offering hope to individuals and couples facing infertility. However, the psychological impact of IVF varies significantly based on gender, necessitating a systematic review of the existing literature. This review explores the emotional effects of IVF on both men and women, highlighting gender-specific psychological responses throughout the treatment process.

Methods: A systematic literature search using various databases (such as PubMed) was made. Studies published in English from the years 2000 to 2023 were included in the review.

Results: A total of 47 studies examined the psychological impact of IVF on both women and men, covering the IVF programming period, the initial stages of IVF treatment, and subsequent stages, as well as the long-term psychological distress effects of IVF in both genders. Both female and male infertile patients are dealing with anxiety, depression and low quality of life. However, women were found to experience higher levels of psychological distress, including increased anxiety and depression symptoms, compared to men at nearly all stages of IVF treatment.

Conclusions: Understanding these gender-specific differences is crucial for developing targeted psychological support interventions to improve mental well-being during IVF treatments.

Objective: Due to the increasing prevalence of rheumatological conditions worldwide, especially among women, and their known negative impact on body image, there is a growing demand for cosmetic procedures. Therefore, it is imperative to develop an evidence-based understanding of the safety of these procedures and their potential effects on the disease course to prevent undesirable exacerbations. Methods: An observational cross-sectional survey was conducted among adult patients diagnosed with rheumatic diseases. Data were collected using an electronic questionnaire that addressed demographics, disease characteristics, comorbidities, and perceptions of cosmetic procedures. Ethical approval was obtained from the Institutional Review Board of King Saud University and King Saud University Medical City. Appropriate descriptive and inferential statistical analyses were performed. Results: A total of 212 participants were included; among them, 92 participants considered or underwent cosmetic procedures, while 120 did not. A significant difference was observed between groups regarding disease-related impact on self-confidence (p = 0.01). Factors associated with undergoing cosmetic procedures included gender (female sex) (OR 12.02; 95% CI: 1.55-93.17; p = 0.017), higher educational level (OR 14.00; 95% CI: 1.32-147.42; p = 0.028), a monthly income of SAR 1000-5000 (OR 2.39; 95% CI: 1.03-5.53; p = 0.041) or SAR 5000-10,000 (OR 2.75; 95% CI: 1.19-6.33; p = 0.017), and employment status (OR 1.81; 95% CI: 1.03-3.18; p = 0.038). Conclusions: A substantial proportion of patients with rheumatic diseases considered or had undergone cosmetic procedures, primarily driven by appearance-related concerns and reduced self-confidence. Female sex, higher education, higher income, and employment status were significant predictors. Fear of disease flare-ups and potential side effects were the most common reasons for avoiding cosmetic procedures.

Background/objectives: Health literacy represents the ability to access, understand, appraise, and apply health information for making appropriate health decisions. It is closely linked to education, income, employment, and overall health outcomes. Limited health literacy is associated with poor self-care, inadequate treatment adherence, and increased healthcare utilization. This study aimed to assess the level of health and medication adherence behaviors among primary health care users in Montenegro and examine its association with key demographic and socioeconomic factors.

Methods: A cross-sectional, multicenter study was conducted among 202 primary health care users at the Primary Healthcare Center Danilovgrad, Plav and Ulcinj, Montenegro. Data were collected using a demographic questionnaire, the standardized European Health Literacy Questionnaire (HLS-EU-Q-47), and the Attitudes towards Medication Adherence Self-Reported Questionnaire (ADHERE-7). Statistical analyses included descriptive statistics, χ² tests, and univariate and multivariate regression.

Results: The mean HLS-EU-Q Index was 33.55 ± 8.05. Significant differences in literacy levels were observed by age (p = 0.022), material status (p = 0.043), and self-rated health (p = 0.020). In multivariate ordinal regression analysis, lower income (<400 €) was associated with lower odds of belonging to a higher health literacy category (OR = 0.22, 95% CI: 0.02-0.92, p = 0.039), while no statistically significant associations were observed for gender, education level, or employment status after adjustment. The mean ADHERE-7 score of the study population was 21.78 ± 5.19. When analyzed in relation to the level of health literacy, the highest mean ADHERE-7 score was observed among participants with excellent health literacy (24.28 ± 4.90). Lower levels of health literacy were associated with lower odds of belonging to higher health literacy categories among participants reporting selected non-adherence behaviors, including missing therapy 3-4 times per week (OR = 0.30), frequently skipping prescribed medication when feeling well (OR = 0.03), and reducing or omitting therapy due to perceived lack of benefit or high costs (OR range: 0.10-0.31).

Conclusions: Health literacy among primary care users in Montenegro is moderate, with a substantial proportion exhibiting limited literacy. Low income is a key determinant of limited literacy, and limited health literacy was associated with poorer medication adherence. Targeted educational and policy interventions are needed to improve health literacy and reduce health inequalities.

Background: Neonatal jaundice is a common condition with potentially severe complications such as bilirubin-induced neurological dysfunction and kernicterus. While serum bilirubin (SBR) remains the standard laboratory measurement, point-of-care methods, such as transcutaneous bilirubinometry (TcB) and blood gas analysers (BGAs), offer rapid, less invasive alternatives. Direct comparisons of their diagnostic accuracy remain limited. Objective: The aim of this study was to assess and compare diagnostic accuracy and clinical utility of TcB and BGA against SBR in neonatal hyperbilirubinaemia screening. Methods: This retrospective study included neonates (n = 221) with concurrent SBR, BGA, and TcB measurements (n = 333). Assessment was via Passing-Bablok regression, Bland-Altman analysis, and Spearman correlation. Diagnostic performance was evaluated against jaundice thresholds in phototherapy charts (≥95th percentile threshold). Subgroup analyses considered phototherapy status, haemoglobin concentration, and Fitzpatrick skin type. Results: BGA showed stronger agreement with SBR (R² = 0.88) than TcB (R² = 0.43). BGA remained accurate regardless of phototherapy or haemoglobin levels. TcB accuracy declined post-phototherapy with reduced predictive value in darker-skinned neonates (Fitzpatrick III-VI) and increased false discovery rates. Both methods demonstrated low sensitivity (45.8%) but high specificity (>95%) and negative predictive value (~91%) for clinically significant hyperbilirubinaemia. BGA had a higher diagnostic odds ratio (47.5) than TcB (19.3). When individual patient sequential SBR and BGA measurements were compared for jaundice tracking (n = 175), there was high correlation, (r = 0.971) with no statistical differences, and 50% of measurements achieving agreement within 10 μmol/L. Conclusions: BGA is a more reliable alternative to SBR than TcB, particularly in time-critical or resource-limited settings. While TcB remains a non-invasive screening tool, limited accuracy post-phototherapy and with darker skinned neonates indicate confirmatory SBR testing. These findings support the selective and context-aware use of BGA and TcB to optimise neonatal hyperbilirubinaemia management and reduce interventions.

Background: Financial sustainability remains a central challenge for U.S. hospitals as rising operating costs, shifting federal reimbursement, and policy uncertainty intensify economic pressures. This study estimates the prevalence and recent changes in financial distress among U.S. short-term acute care hospitals. Methods: We conducted a national longitudinal analysis of all U.S. short-term acute care hospitals from 2021 to 2023 using financial and operational data from Medicare cost reports linked with community-level data from the American Community Survey. Financial distress was measured using the Altman Z-score, with severe distress defined as Z ≤ 1.8. Logistic regression models were used to identify organizational, operational, and market characteristics associated with distress. Results: The proportion of hospitals classified as severely financially distressed increased from 18.6% in 2021 to 22.0% in 2023. Operating margins and returns on assets declined significantly over the study period, while mean Z-scores showed a modest but non-significant downward trend. In adjusted models, urban hospitals had higher odds of distress (OR 1.27, 95% CI 1.15-1.40, p < 0.001), as did hospitals with longer average lengths of stay (OR 1.07 per day, 95% CI 1.04-1.09, p < 0.001) and higher debt-to-equity ratios (OR 1.05 per unit, 95% CI 1.05-1.06, p < 0.001). Higher occupancy rates were protective (OR 0.31, 95% CI 0.25-0.40, p < 0.001). Larger market population was also associated with increased distress risk (OR 1.61, 95% CI 1.21-2.14, p = 0.001), while other market characteristics were not significant. Conclusions: Financial distress remains widespread and appears to be increasing among U.S. acute care hospitals. Operational efficiency, capital structure, and local market scale are key drivers of financial vulnerability, highlighting the need for targeted strategies to strengthen hospital resilience and preserve access to essential acute care services.