Journal of Multidisciplinary Healthcare最新文献

{"title":"Acceptance of Electronic Medical Records Among Practitioner Nurses and Nurse Managers Using the UTAUT Framework in Hospital Settings: A Scoping Review.","authors":"Yeni Liana, Hana Rizmadewi Agustina, Kurniawan Yudianto","doi":"10.2147/JMDH.S589578","DOIUrl":"https://doi.org/10.2147/JMDH.S589578","url":null,"abstract":"<p><strong>Background: </strong>The implementation of Electronic Medical Record (EMR) represents a strategic effort to improve efficiency, accuracy, and coordination in healthcare services. However, the success of EMR adoption is strongly influenced by user acceptance, particularly among practitioner nurses and nurse managers who are directly involved in documentation processes and clinical decision-making. The Unified Theory of Acceptance and Use of Technology (UTAUT) has been widely applied to understand the determinants of technology acceptance in various healthcare contexts, including hospitals.</p><p><strong>Objective: </strong>This scoping review aims to map the factors influencing EMR acceptance among practitioner nurses and nurse managers using the UTAUT framework.</p><p><strong>Methods: </strong>A scoping review was conducted following Arksey and O'Malley's methodological framework and reported in accordance with PRISMA-ScR guidelines. Literature searches were performed in PubMed, EBSCOhost, and ScienceDirect using keywords related to \"Electronic Medical Record\", \"UTAUT\", and \"nurses\". Eligible studies were analyzed thematically based on the four primary UTAUT constructs: performance expectancy, effort expectancy, social influence, and facilitating conditions.</p><p><strong>Results: </strong>Ten eligible studies were included, with most studies treating nurses as a homogeneous group and only limited evidence differentiating practitioner nurses and nurse managers. The dominant factors influencing EMR acceptance included perceived usefulness for work performance, ease of system use, social support from leadership and peers, and the availability of organizational resources and training. Differences in perceptions were found between practitioner nurses and nurse managers, particularly regarding facilitating conditions and social influence.</p><p><strong>Conclusion: </strong>This scoping review identified performance expectancy, organizational support, and infrastructure readiness as key factors commonly reported in the literature in relation to nurses' acceptance of EMR. Managerial strategies may focus on enhancing digital competencies, ensuring adequate technical support, and promoting active engagement of nursing personnel in the digitalization of clinical documentation.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"589578"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13050975/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147633539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parental Knowledge, Attitudes, and Practices Regarding Low-Temperature Plasma Adenotonsillectomy for Pediatric Obstructive Sleep Apnea Syndrome: A Structural Equation Modeling Analysis.","authors":"Bowen Shi, Ruotong Mao, Jianjing Fang, Yixin Wu, Fanli Liu, Songjie Xiang, Siwen Xia","doi":"10.2147/JMDH.S576607","DOIUrl":"https://doi.org/10.2147/JMDH.S576607","url":null,"abstract":"<p><strong>Background: </strong>To investigate parental knowledge, attitudes, and practices (KAP) regarding low-temperature plasma adenotonsillectomy for children with obstructive sleep apnea syndrome (OSAS).</p><p><strong>Methods: </strong>This cross-sectional study employed a self-administered KAP questionnaire for data collection from parents of children with OSAS at the Second Affiliated Hospital of Wenzhou Medical University, spanning August, 2023, to August, 2024.</p><p><strong>Results: </strong>A total of 415 parents were included, with 83.86% were female and 84.34% being primary caregivers. The knowledge, attitude, and practice scores were 14.91 ± 2.40 (total score: 18 points), 31.87 ± 3.12 (total score: 35 points), and 32.01 ± 3.15 (total score: 35 points), respectively. Knowledge positively correlated with attitude (r = 0.365, P < 0.001), and practices (r = 0.336, P < 0.001). Attitude correlated with practice (r = 0.745, P < 0.001). Structural equation modelling revealed that knowledge influenced attitude (β = 0.490, P < 0.001), and attitude strongly impacted practice (β = 0.729, P < 0.001).</p><p><strong>Conclusion: </strong>Parents demonstrated adequate knowledge, positive attitudes, and proactive practices regarding low-temperature plasma surgery. This underscores the clinical value of incorporating structured parental education and counseling into perioperative care to support adherence and improve recovery in children with OSAS. These findings warrant continued, targeted health education focused on knowledge gaps to further enhance treatment compliance and optimize postoperative outcomes for children with OSAS.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"576607"},"PeriodicalIF":2.4,"publicationDate":"2026-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13041532/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147609308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ready, Set, Coach: A Mixed Methods Pilot Study Exploring the Impact of Implementation Coaching to Optimize the Allied Health Assistant Workforce in Public Health Settings.","authors":"Lucy Whelan, Sharon L McLean, Alexandra Edwards, Sandra Glagovski, Jessica Huglin, Janet E Golder, Abby M Foster","doi":"10.2147/JMDH.S562058","DOIUrl":"https://doi.org/10.2147/JMDH.S562058","url":null,"abstract":"<p><strong>Background: </strong>The Victorian Allied Health Assistant Workforce Project delivered eighteen recommendations and accompanying resources supporting optimal utilization of allied health assistants (AHAs) across health, aged care, and disability sectors, in late 2022. Uptake of these evidence-based, ready-to-use resources in public health settings was yet to be evaluated. This was the impetus for an implementation coaching program, delivered to enhance application of the developed recommendations and resources. The aim of this project was to design, deliver and evaluate the impact of a pilot implementation coaching program to embed and put into practice the Victorian Allied health assistant workforce recommendations and resources in a public health setting.</p><p><strong>Methods: </strong>A non-experimental, pre- and post- mixed methods design was used to evaluate the outcomes of the tailored implementation coaching program. Measures included Organizational Readiness for Implementing Change (ORIC) scale survey, a bespoke workforce survey, the Goal Attainment Scale (GAS), post implementation interviews, and research team reflections on the process.</p><p><strong>Results: </strong>Six Victorian public health organizations participated in the pilot implementation program. Findings indicate attainment of positive change in GAS scores following the sixteen-week implementation program (p=0.001), with pre-intervention ORIC scores an unreliable indicator of potential change success. Factors pertaining to size and geography of coaching participant (CP) pair's organization, local managerial or executive support of the change, experience and influence of the CPs and the project coaching team's (PCT) experience and credibility, all have impact on successful implementation coaching outcomes for the optimization of the AHA workforce in a Victorian context.</p><p><strong>Conclusion: </strong>This research provides new insights into the value of coaching to support the implementation of statewide workforce recommendations and resources in public health settings. This study provides a model for other organizations to consider and to reference when embarking on the process of implementing workforce recommendations and resources, directed at workforce optimization.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"562058"},"PeriodicalIF":2.4,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13039658/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147609219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic Review of the Intraoperative Hypothermia Risk Prediction Models in Total Joint Arthroplasty Patients.","authors":"Huiting Xu, Yan Zhou, Xu Li, Hailing Ju","doi":"10.2147/JMDH.S591324","DOIUrl":"https://doi.org/10.2147/JMDH.S591324","url":null,"abstract":"<p><strong>Introduction: </strong>Machine learning (ML) identifies risk factors for intraoperative hypothermia (IH) more comprehensively than traditional scoring systems, offering effective guidance for nursing care. Despite promising results in total joint arthroplasty (TJA) patients-a high-incidence group-the quality of existing ML models requires systematic evaluation. This study reviews IH risk prediction models in TJA, focusing on their development quality and predictive performance.</p><p><strong>Purpose: </strong>This study aims systematically review and evaluate intraoperative hypothermia risk prediction models in TJA patients.</p><p><strong>Patients and methods: </strong>A systematic search was conducted across nine databases (including PubMed, Embase, Cochrane Library, Web of Science, CINAHL, Wan fang database, CNKI, VIP database, and SinoMed) from inception to October 2025. Two independent reviewers performed the literature screening and data extraction, utilizing the PROBAST tool to assess study quality.</p><p><strong>Results: </strong>Eight studies were included, all involving model development and internal validation; four also performed external validation. Algorithms used were primarily Logistic regression (7 studies) and Random Forest (1 study). All models demonstrated good calibration and strong discriminatory ability, with the Area Under the Curve (AUC) values rangng from 0.791 to 0.938. Key predictors identified across studies include patient factors (age, BMI, hemoglobin level, ASA classification), surgical factors (duration, fluid/irrigation volume, blood loss, operating room temperature), and anesthesia factors (duration, active warming).</p><p><strong>Conclusion: </strong>IH risk prediction models for TJA patients demonstrate high performance and clinical applicability, with consistent predictors identified across the literature. However, the included studies exhibited a relatively high risk of bias. Future research should ensure high-quality data handling and standardization of validation processes. Prospective, multicenter studies are needed to refine these models, thereby providing clearer guidance for clinical decision-making. With the advancement of artificial intelligence, integrating current predictive models into visualized clinical tools will facilitate nursing decisions and reduce the incidence of intraoperative hypothermia in TJA patients.</p><p><strong>Prospero registration number: </strong>CRD420251134154.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"591324"},"PeriodicalIF":2.4,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13037634/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147592788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid Detection and Diagnosis of Patients with Plantar Fasciitis Based on Integrated YOLOv12n and ResNet34 Framework Using Magnetic Resonance Imaging.","authors":"Xiangyi Du, Chenhui Wang, Yifan Liu, Junmei Wang, Kun Shen, Haitao Zhao","doi":"10.2147/JMDH.S584650","DOIUrl":"https://doi.org/10.2147/JMDH.S584650","url":null,"abstract":"<p><strong>Background: </strong>Plantar fasciitis (PF) is the primary cause of heel pain. We aimed to develop a fully automated, computationally efficient deep learning-based system for the PF identification using magnetic resonance imaging (MRI) images.</p><p><strong>Methods: </strong>A dataset of MRI images from 123 PF patients and 150 controls was collected. Data augmentation methods were applied during training. Four YOLO algorithms (YOLOv8n, YOLOv11n, YOLOv12n, and YOLOv13n) were applied to train object detection models for locating relevant anatomical structures in MRI images. The convolutional neural network, ResNet14, ResNet18, ResNet34, and ResNet50 were used for classification model construction. The optimal models were integrated to form an intelligent diagnostic pipeline.</p><p><strong>Results: </strong>For object detection models, YOLOv12n model presented the best performance, achieving a mAP50 of 0.907. The YOLOv13n, YOLOv11n and YOLOv8n models achieved mAP50 of 0.904, 0.896 and 0.887, respectively. For classification models, the ResNet34 model outperformed the others with the highest accuracy of 0.9740. Then, YOLOv12n model, as the object detection model, and ResNet34 model, as the classification model, were integrated to construct the intelligent diagnostic process for the automatic identification of PF.</p><p><strong>Conclusion: </strong>In this study, we innovatively propose an automatic detection process integrating YOLOv12n and ResNet34 to efficiently and automatically identify PF, which demonstrates high potential for streamlining the diagnostic workflow and supporting clinical decision-making. However, the single-center nature of the dataset warrants further external validation in multi-center cohorts to confirm the generalizability of our model.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"584650"},"PeriodicalIF":2.4,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13037534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147592724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of BHATIN (Behavior-Tailored Intervention) for Self-Care Management and Clinical Biomarkers Among Patients with Hypertension: A Quasi Experimental Study.","authors":"Andi Mayasari Usman, Cecep Eli Kosasih, Iqbal Pramukti, Yulia Sofiatin, Rian Adi Pamungkas","doi":"10.2147/JMDH.S598078","DOIUrl":"https://doi.org/10.2147/JMDH.S598078","url":null,"abstract":"<p><strong>Background: </strong>Sustained self-care is essential for effective hypertension management, particularly dietary salt reduction. In many community-based settings, including primary care areas in Indonesia, hypertension control remains suboptimal due to inadequate self-care practices and persistent high salt consumption, contributing to unfavorable biomarkers such as elevated blood pressure, BMI, and metabolic indicators.</p><p><strong>Objective: </strong>This study aimed to evaluate the effectiveness of the Behavior-Tailored Intervention (BHATIN) model on knowledge, Theory of Planned Behavior (TPB) constructs, self-efficacy, hypertension self-care behaviors, salt preference, and clinical outcomes (blood pressure, BMI, and metabolic biomarkers) among adults with hypertension.</p><p><strong>Methods: </strong>A quasi-experimental pretest-posttest design with a non-equivalent control group was conducted among 90 adults with hypertension (intervention = 45; control = 45). The intervention group received the BHATIN program integrating TPB-based behavioral strategies, mindfulness-informed coaching, skill-based training, and social support, while the control group received standard care. Data were collected using knowledge, TPB-based questionnaires and clinical measurements (salt preference, blood pressure, BMI, and metabolic biomarkers) and analyzed using paired and independent t-tests (p < 0.05).</p><p><strong>Results: </strong>The intervention group showed significant improvements in attitude, subjective norm, perceived behavioral control, intention, self-efficacy, and self-care behaviors (all p < 0.001). Significant reductions were also observed in systolic and diastolic blood pressure, total cholesterol, random blood glucose, and salt preference (p < 0.05), where the control group showed minimal change.</p><p><strong>Conclusion: </strong>The BHATIN model improves psychosocial determinants, self-care behaviors, salt preference, and selected clinical biomarkers among adults with hypertension, providing a feasible nurse-led strategy for community-based hypertension management.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"598078"},"PeriodicalIF":2.4,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13033295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147581459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric Properties of the Turkish Medical Maximizer-Minimizer Scale.","authors":"Yusuf Celik, Ecenur Aydemir, Muhammed Emre Güvey, Ahmet Can Kucukkurt, Mesut Cimen, Salim Yılmaz","doi":"10.2147/JMDH.S581802","DOIUrl":"10.2147/JMDH.S581802","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to adapt the Medical Maximizer-Minimizer Scale (MMS) into Turkish and evaluate its psychometric properties, including factorial structure, reliability, measurement invariance, and construct validity in the Turkish healthcare context.</p><p><strong>Patients and methods: </strong>A total of 511 Turkish adults completed the Turkish MMS alongside measures of healthcare trust, utilization patterns, and health-related quality of life. The sample was divided into exploratory (n = 256) and confirmatory (n = 255) subsamples using propensity score matching. Classical item analysis, exploratory graph analysis (EGA), exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) were conducted to examine dimensional structure. Five competing structural models were compared, followed by measurement invariance testing across demographic groups. Convergent and discriminant validity were evaluated through correlations with related constructs.</p><p><strong>Results: </strong>Item analysis and EGA revealed that Item 5 demonstrated poor psychometric properties and was excluded, yielding a nine-item scale. EGA identified a stable two-dimensional structure with high bootstrap stability coefficients (0.946-1.000). The nine-item scale demonstrated good internal consistency (α =0.78, 95% CI [0.74,0.82]). Among five competing models, the bifactor model provided superior fit (CFI =0.997, TLI =0.993, RMSEA =0.021, SRMR =0.025), identifying a general maximizing-minimizing factor alongside two specific dimensions: Generalist View (philosophical orientations toward medical intervention) and Individualist View (concrete healthcare-seeking preferences). Scalar measurement invariance was supported across gender, age, marital status, parental status, and social security status. The scale showed theoretically consistent correlations with healthcare trust (r =0.15-0.25) and utilization intentions (r =0.09-0.29), but minimal associations with health-related quality of life, confirming discriminant validity.</p><p><strong>Conclusion: </strong>The nine-item Turkish MMS demonstrates robust psychometric properties with a bifactor structure capturing both general and dimension-specific healthcare orientations. The validated instrument provides a reliable tool for assessing maximizing-minimizing tendencies in Turkish populations and offers a foundation for future research on healthcare utilization and patient-centered communication.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"581802"},"PeriodicalIF":2.4,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13033267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147581451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge, Attitude, and Practice Regarding Adverse Transfusion Reactions Among Nurses, Physicians, and Transfusion Specialists in China: A Multicenter Cross-Sectional Survey.","authors":"Tingting Hu, Xueying Zhou, Xu OuYang, Yan Wang, Ting Sun","doi":"10.2147/JMDH.S569692","DOIUrl":"10.2147/JMDH.S569692","url":null,"abstract":"<p><strong>Introduction: </strong>Adverse transfusion reactions (ATRs) can threaten patient safety. Healthcare professionals (HPs) play crucial roles in the prevention and management of ATRs. Although ATRs occur in 0.2-0.6% of transfusions in China, no study has examined the knowledge, attitude, and practice (KAP) toward them. Therefore, the aim of this study was to investigate the KAP of HPs toward ATRs.</p><p><strong>Methods: </strong>This multicenter cross-sectional study was conducted between October and December 2023 and included HPs from 146 medical institutions enrolled through WeChat professional groups using convenience sampling. An investigator-developed web-based questionnaire (Cronbach's α=0.82) was used to collect participants' demographic characteristics and their KAP towards ATRs. Bloom's cutoffs were used to categorize KAP dimension scores. Multivariable logistic regression analysis was performed, including the factors statistically significant in the univariable analyses.</p><p><strong>Results: </strong>The study included 327 (40.93%) nurses, 253 (31.66%) physicians, and 219 (27.41%) transfusion specialists. Among the participants, 598 (74.84%) were females, 238 (29.79%) held a master's degree or higher, 389 (48.69%) possessed over 10 years of work experience. The knowledge and attitude scores were 11.78±1.78 (possible range: 0-14) and 50.43±4.74 (possible range: 11-55). The practice scores (possible range: 0-50) were evaluated for nurses, physicians, and transfusion specialists respectively, and the mean scores were 49.22±2.79, 47.60±5.09, and 44.35±14.13. Multivariate analysis showed that having a master's degree or above (OR=1.480, 95% CI: 1.079-2.027, P=0.015) was independently associated with knowledge. The knowledge (OR=1.280, 95% CI: 1.159-1.423, P=0.001), department (OR=1.731-1.763, 95% CI: 1.120-2.696, P<0.050), and the understanding of ATRs (OR=1.122, 95% CI: 1.035-1.218, P=0.006) were independently associated with attitude.</p><p><strong>Conclusion: </strong>The surveyed Chinese healthcare professionals HPs displayed good KAP regarding ATRs. However, specific knowledge gaps were identified, particularly concerning bacterial contamination risks and delayed reactions. While attitudes and self-reported practices were largely positive, targeted educational interventions are recommended to address these identified knowledge deficits and reinforce best practices.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"569692"},"PeriodicalIF":2.4,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13033248/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147581486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Latent Profile Analysis of Psychological Adaptation Among Caregivers of Children with Strabismus: A Cross-Sectional Study.","authors":"Yawen Mo, Xueke Wang, Manli Zhou, Chunying Dai, Haimin Zeng, Yue Cai, Yinghuan Wang","doi":"10.2147/JMDH.S599567","DOIUrl":"10.2147/JMDH.S599567","url":null,"abstract":"<p><strong>Purpose: </strong>The psychological well-being of caregivers profoundly influences the treatment efficacy, long-term visual rehabilitation, and overall family well-being of children with strabismus. However, the heterogeneity within this caregiver population has not been explored.</p><p><strong>Patients and methods: </strong>A cross-sectional survey was conducted among 409 caregivers. Latent profile analysis was performed based on levels of depression symptoms, resilience, and social support to classify caregivers. Multiple logistic regression analysis was used to identify the factors of profile membership.</p><p><strong>Results: </strong>Three distinct profiles were identified: vulnerable and distressed group (36.19%), paradoxically distressed group (7.34%), and resilient and adapted group (56.47%). Regression analyses revealed that low education was a risk factor for vulnerable and distressed group. Younger age (<30 years) was a strong risk factor for paradoxically distressed group, whereas having two children was a protective factor. The clinical features of the children showed no significant association with caregivers' psychological adaptation profiles.</p><p><strong>Conclusion: </strong>Caregivers of children with strabismus exhibited significant heterogeneity in psychological adaptation, which was primarily driven by their own demographic factors rather than the child's clinical features. These findings provide a critical basis for developing targeted psychological interventions.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"599567"},"PeriodicalIF":2.4,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13032728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Best Evidence Summary of Preoperative Management for Patients Undergoing Intestinal Stoma Surgery.","authors":"Mingming Zhong, Yiming Shi, Lianghong Huang, Biying Liu, Jiating Jiang, Qiujun Cao","doi":"10.2147/JMDH.S591748","DOIUrl":"10.2147/JMDH.S591748","url":null,"abstract":"<p><strong>Purpose: </strong>To retrieve, evaluate, and synthesize the best evidence on preoperative management for patients with intestinal stomas, and to provide a foundation for clinical nursing practice.</p><p><strong>Methods: </strong>This study was an evidence summary followed by the evidence summary reporting standard of Fudan University Center for Evidence-based Nursing. The PIPOST framework was used to establish the clinical question. A systematic search was performed according to the 6S evidence hierarchy across international and Chinese databases and guideline repositories from inception to July 31, 2025. Eligible evidence included clinical decision support documents, clinical practice guidelines, systematic reviews, expert consensus statements, position statements, organizational standards, and evidence summaries published in Chinese or English. Methodological quality was appraised using appropriate tools based on evidence type, and evidence was extracted, synthesized, and graded according to established evidence-based criteria.</p><p><strong>Results: </strong>A total of 46 evidence sources were included, comprising 5 clinical decision support documents, 10 clinical practice guidelines, 14 evidence summaries, 9 systematic reviews, 4 expert consensus statements, 3 position statements, and 1 organizational standard. Based on evidence synthesis and consultation with clinical professionals, 22 pieces of evidence were summarized across four domains: organizational preparation, comprehensive assessment, counselling and education, and stoma site marking.</p><p><strong>Conclusion: </strong>This evidence summary provides an evidence-based framework to guide standardized and individualized preoperative care, aiming to improve surgical preparedness and postoperative outcomes. Further research is needed to update the evidence base and evaluate the feasibility and effectiveness of these recommendations in clinical practice.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"19 ","pages":"591748"},"PeriodicalIF":2.4,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13025711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}