bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validity and Reliability of the Thai Version Consumer Assessment of Healthcare Providers and Systems In-Centre Hemodialysis (Thai CAHPS-ICH) Survey for Maintenance Hemodialysis Patients
Authors: Phuphanitcharoenkun Jirawat , Narongkiatikhun Phoom , Ophascharoensuk Vuddhidej 
Published: May 2024

Abstract

Background
Patient-reported experience measures (PREMs) are important tools for evaluating the quality of care from patients' perspectives. Nevertheless, no validated PREMs exist for maintenance hemodialysis (MHD) patients in Thailand. This study aimed to develop a Thai version of the Consumer Assessment of Healthcare Providers and System In-center Hemodialysis (CAHPS-ICH) survey and assess its validity and reliability.
Method
We translated the original CAHPS-ICH® survey into Thai and administered it to MHD patients at the hemodialysis center of Chiang Mai University Hospital. Correlation analysis was employed to evaluate the construct validity of each domain (Nephrologists’ communication and caring [NCC], quality of dialysis center cares and operation [QoC] and providing information to patients [PI]) and the global rating scales. Internal consistency and test-retest reliability were assessed using Cronbach's alpha coefficient (α) and intraclass correlation coefficient (ICC), respectively.
Results
A total of 189 patients were recruited. The NCC domain exhibited the strongest correlation with the doctor global rating scale (r = 0.60) and displayed good internal consistency (α = 0.86). The QoC domain indicated positive correlations with the staff and center rating scales (r = 0.65 and 0.58, respectively) and demonstrated acceptable internal consistency (α = 0.78). The PI domain showed a moderate association with the center global rating scales (r = 0.31), but its internal consistency was not demonstrated (α = 0.53). Most multi-item scale questions showed satisfactory test-retest reliability (ICC = 0.50–0.85).
Conclusion
The “Thai CAHPS-ICH” survey proves to be a valid and reliable tool for assessing the patient experience among MHD patients at Chiang Mai University Hospital.
Self-reported mental health in school-aged children using the Dominic interactive questionnaire in the French Enabee 2022 study
Authors: Seconda Louise , Kovess Viviane , Bessonneau Pascal , Pognon Damien , Decio Valentina , Perrine Anne-Laure , Haddad Maria El , Richard Jean-Baptiste , Saoudi Abdessattar , Delorme Richard , Motreff Yvon , Monnier-Besnard Stephanie , Regnault Nolwenn 
Published: May 2024

Abstract

The COVID-19 pandemic highlighted the need to develop rigorous epidemiological monitoring of children’s mental health in France. The Dominic Interactive (DI) assesses children’s perceptions of their own mental health using illustrated questions, which reflect situations associated with symptoms of common disorders. Although many studies have used the DI, the last time its psychometric properties were assessed on school-aged children in France was in 2004. In the Enabee 2022 study, as part of a novel homonymous epidemiological monitoring project 15,206 child attending school in metropolitan France filled in the DI.
Using data from Enabee 2022, the present study aimed to examine the psychometric properties of DI (internal consistency and factorial structure) and to assess the self-reported prevalence of mental health problems in children.
The Cronbach alpha and Mc Donald’s Omega were acceptable for all DI subscales assessing a specific mental health disorder. The initial factor structure was confirmed for each subscale. Overall, 28.7% of the study sample had reported at least one probable mental health disorder. Phobias and separation anxiety disorder were the most frequent disorders (9.4% and 10.7%, respectively), especially among girls (13.6% and 12.6%). In contrast, although major depression was the least reported disorder (5.5%), it had the strongest correlations with other disorders.
This study provides the first results for self-reported mental health in children within the framework of the novel French mental health surveillance system Enabee. Integrating the DI in this system assures that children’s self-reported symptoms can be taken into consideration when assessing their mental health.
Interdisciplinary endodontic treatment of a Molar-Incisor Malformation-affected molar using a 3D printing model based on cone-beam computed tomography: A case report and literature review
Authors: Brizuela Claudia , Ferrada Juan Pablo , Cabrera Carolina , Bravo Marta , Gutiérrez Mario Felipe , Castillo Mónica , Vega Carlos , Concha Guillermo , Jara Daniel , Eyzaguirre Alfredo , Dezerega Andrea , Osorio Constanza 
Published: May 2024

Abstract

Background
Molar-Incisor Malformation (MIM) represents a complex dental anomaly entwined with patients’ medical histories, characterized by intricate root canal structures. This study unveils an innovative interdisciplinary digital strategy for managing MIM, accompanied by an extensive literature review.
Case presentation
The case involves a 7-year-old Caucasian female patient who was referred by the orthodontist for a significant apical lesion detected in the permanent left mandibular first molar (tooth #36). Thorough clinical, radiographic and CBCT examinations the clinical diagnosis definitively identified a MIM in tooth #36 with symptomatic apical periodontitis. Employing Cone Beam Computed Tomography (CBCT) and a meticulously crafted virtual three-dimensional (3D) printed scaled tooth guide model, an endodontic procedure was performed on tooth #36 in a patient with MIM. A one-year follow-up showcased a reduction in the size of the apical lesion, demonstrating a healing process.
Conclusions
This case underscores the potential of interdisciplinary and technology-driven strategies in effectively managing MIM. Nonetheless, there´s a crucial need of research focusing on higher QoE to identify the most effective approaches for treating MIM-affected teeth.
Experiences of conflicting decision-making by Surrogate decision-makers in Neurocritical care in China: a descriptive qualitative study
Authors: Mao Sailu , Cao Qianqian , Li Qihong , Wu Yawen , Zhang XinYu , Jiang Jinxia , Zeng Li 
Published: May 2024

Abstract

Background: Decision-makers who act on behalf of patients in critical neurosurgical care play a crucial role in medical decision-making. However, there is limited exploration into the complexities of decision conflict within this group.
Objectives: This study aims to understand the experiences of decision-making conflict among surrogate decision-makers for neurosurgical critical care patients, with the goal of informing the development of clinical decision support programs.
Methods: Between April 2023 and June 2023, we conducted semi-structured, in-depth interviews with 15 surrogate decision-makers for neurosurgical critical care patients, using a convenience sampling method. The interviews were meticulously transcribed, and the data underwent detailed analysis using the Colaizzi 7-step method to extract and refine thematic insights.
Results: The study reveals that surrogate decision-makers for critically ill neurosurgical patients grapple with decision conflict across three main themes: (a) Various Aspects of Decision-Making Conflict: Conflicts arise between considerations of quality versus length of life, patient preferences versus those of the decision-maker, and expectations of treatment versus reality. (b) Complex Causes of Decision-Making Conflict: Challenges include the complexity of decision-making in critical care settings, limited access to information, and societal and cultural pressures. (c) Diverse Consequences of Decision-Making Conflict: These include emotional distress for decision-makers, delays in patient treatment, and risks to patient-physician trust.
Conclusions: The research findings highlight that surrogate decision-makers for critically ill neurosurgical patients encounter a range of complex conflicts with various negative impacts in clinical settings. These insights emphasize the importance of medical professionals identifying surrogate decision-makers prone to conflict early in the care journey and offering evidence-based decision-making support to minimize conflicts and improve decision-making quality.
Enhancing Musculoskeletal Healthcare through Mobile Application-Integrated Infrared Thermography: A Promising Approach for Diagnosis and Monitoring
Authors: SALEH MOHAMMED ABOO SALEH MOHAMMED ABOO 
Published: May 2024

Abstract

Musculoskeletal injuries, encompassing conditions affecting muscles, bones, ligaments, tendons, and joints, pose significant diagnostic and treatment challenges, often requiring subjective assessments by healthcare providers. In this study, an innovative approach was employed using infrared imaging technology integrated with a mobile application to enhance objective assessment, particularly during massage therapy. Thermal imaging captures of patients' backs during pre- and post-therapy sessions were conducted via the developed app to identify abnormal temperature patterns indicative of underlying conditions. This novel method of diagnosis offers a departure from traditional subjective assessments by providing quantitative thermal data for analysis. The utilization of deep learning algorithms and thermal image processing techniques further facilitated data management and analysis, offering a more precise diagnostic approach. The application's diagnostic capabilities, coupled with its ability to streamline data management, distinguish it from conventional diagnostic methods, offering potential advancements in musculoskeletal injury diagnosis and treatment. This paper elucidates the methods employed, highlights the observed results, underscores the potential of integrating advanced technologies for musculoskeletal injury diagnosis and treatment, and provides a brief overview of musculoskeletal injuries to contextualize the study.
The impact of depression on cervical spondylosis is mediated by smoking and insomnia: Mendelian randomization study
Authors: Qian Jiaming , Li Yumei , Wang Xiaole , Fang Ting , Zhou Maoshen , Liu Fushui 
Published: May 2024

Abstract

Patients with cervical spondylosis are often accompanied by a series of mental disorders, but there is no direct evidence of causal relationship and the mediation factors are not clear. Our purpose is to use the aggregated data of the large-scale genome-wide association study (GWAS) to explore the causal relationship between mental disorders and cervical spondylosis by using Mendelian randomization analysis, and further explore the mediation factors, to provide theoretical basis for the prevention and treatment of cervical spondylosis. Data on cervical spondylosis, mental disorders (depression, anxiety and schizophrenia), and living habits (smoking, insomnia, drinking, exercise, and time spent watching TV) were collected from the aggregated data of GWAS. In the univariable MR, inverse variance weighted (IVW) method was adopted as the main method, MR-Egger-based regression method, weighted median (WME) method, simple mode method, and weighted mode (WM) method were adopted as the complementary methods to evaluate the causal relationship between mental disorders and cervical spondylosis. Cochran's Q test, MR-Egger intercept test, and MR pleiotropy residual sum and outlier (MR-PRESSO)test were used to verify the reliability of the analysis results as sensitivity analysis. In the multivariable MR, IVW was used to analyze the causal relationship between the three mental disorders and cervical spondylosis after adjustment. In the mediation MR analysis, according to the steps of exposure to mediation and mediation to outcome, the qualified mediation factors in living habits were screened out, and the P-value of mediation effect was calculated by coefficient product test. The confidence interval was estimated by Delta method, and the proportion mediated was calculated. The univariable analysis (OR=1.398, 95%CI:1.085-1.803, P=0.010) indicated that depression was a risk factor for cervical spondylosis. The multivariable analysis showed that depression still has positive causal relationship with cervical spondylosis after adjustment for anxiety and schizophrenia (OR=1.343, 95%CI:1.06-1.70, P=0.013). The mediation MR analysis showed that from depression to living habits, “time spent watching TV” was excluded. From living habits to cervical spondylosis, “exercise” was excluded. Drinking was also excluded by the results of coefficient product test. The mediation MR analysis showed that the causal relationship between depression and cervical spondylosis was partly mediated by smoking and insomnia, and the proportion mediated was 15.98% and 41.70%. Our study shows that there is a positive causal relationship between depression and cervical spondylosis, which is partly mediated by smoking and insomnia, and the finding may be helpful for the prevention and treatment of cervical spondylosis.
Comparison of three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer
Authors: Junbo Zuo , Junbo Zuo , Yan Huang , Yan Huang , Zhenhua Huang , Zhenhua Huang , Zhang JingXin , Zhang JingXin , Hou Wenji , Hou Wenji , Wang Chen , Wang Chen , Wang Xiuhua , Wang Xiuhua , Xuefeng Bu , Xuefeng Bu 
Published: May 2024

Abstract

Objective
This study aimed to compare three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer (GC).
Method
Objective nutritional screening tools including geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were evaluated in patients with GC at our institution. Malnutrition was diagnosed according to the GLIM criteria. The diagnostic value of GNRI, PNI, and COUNT scores in identifying GLIM-defined malnutrition was assessed by conducting Receiver Operating Characteristic (ROC) curves and calculating the area under the curve (AUC). Additionally, sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were determined. The Kappa coefficient (k) was used to assess agreement between three objective nutritional screening tools and GLIM criteria.
Results
A total of 316 patients were enrolled in this study, and malnutrition was diagnosed in 151 patients (47.8%) based on the GLIM criteria. The GNRI demonstrated good diagnostic accuracy (AUC = 0.805, 95% CI: 0.758–0.852) for detecting GLIM-defined malnutrition, while the PNI and COUNT score showed poor diagnostic accuracy with AUCs of 0.699 (95% CI: 0.641–0.757) and 0.665 (95% CI: 0.605–0.725) respectively. Among these objective nutritional screening tools, the GNRI-based malnutrition risk assessment demonstrated the highest specificity (80.0%), accuracy (72.8%), PPV (74.8%), NPV (71.4%), and consistency (k = 0.452) with GLIM-defined malnutrition.
Conclusions
Compared to PNI and COUNT scores, GNRI demonstrated superior performance as an objective nutritional screening tool for identifying GLIM-defined malnutrition in GC patients.
Phenotypical divergence between self-reported and clinically ascertained autism
Authors: Banker Sarah M. , Schafer Mathew , Harrington Miles , Na Soojung , Barkley Sarah , Trayvick Jadyn , Peters Arabella W. , Thinakaran Abigaël , Foss-Feig Jennifer H. , Schiller Daniela , Gu Xiaosi 
Published: May 2024

Abstract

While allowing for rapid recruitment of large samples, online psychiatric and neurodevelopmental research relies heavily on participants’ self-report of neuropsychiatric symptoms, foregoing the rigorous clinical characterization of laboratory settings. Autism spectrum disorder (ASD) research is one example where the clinical validity of such an approach remains elusive. Here, we compared participants characterized online via self-reports against in-person participants evaluated by clinicians. Despite having comparable self-reported autism symptoms, the online high-trait group reported significantly more social anxiety and avoidant behavior than in-person ASD subjects. Within the in-person sample, there was no relationship between self-rated and clinician-rated autism symptoms, suggesting these approaches may capture different aspects of ASD. The online high-trait and in-person ASD participants also differed in their behavior in well-validated social decision-making tasks: the in-person group perceived having less social control and acted less affiliative towards virtual characters. Our study aimed to draw comparisons at three levels: methodological platform (online versus in-person), symptom measurement (self- versus clinician-report), and social behavior. We identified a lack of agreement between self- and clinician-rated measures of symptoms and divergent social tendencies in groups ascertained by each method, highlighting the need for differentiation between in-person versus online samples in autism research.
Evaluation of Laboratory Request Form Variables as Filled by Clinicians at Msambweni County Referral Hospital, Kwale County, Kenya.
Authors: Nyamu Gibson Waweru , Ochieng' Onesmus Oduori , Wahome Peter Kitemi , Odhiambo Frendrick Odhiambo , King’oo Jacintah Mueni , Wigina Ronald Nyarambe 
Published: May 2024

Abstract

Background
Communication between clinicians and the laboratory staff occur via laboratory request forms (LRFs). Proper utilization of these forms enhances operational efficiency in healthcare by providing patients' samples along with their bio data and clinical details. This study aimed to assess the level of completion of LRFs at Msambweni County Referral Hospital- clinical laboratory (MCRHCL).
Methods
This study assessed the variables entered on LRFs that were sent to the MCRHCL during the month of February 2022. The checklist was used to audit the presence or absent of the following variables; patient name, sex, age, telephone contact of patient and requesting clinician, patients’ hospital number, patient residence, destination (clinicians’ location), name of doctor, type of specimen, time and date of collection, investigation required, clinical history and provisional diagnosis in LRFs. Data was collected and analyzed using in Epi Info 7 where descriptive statistics were calculated.
Results
Out of 272 sampled LRFs, none contained complete information for all required parameters. Patient name and requested test fields were fully and accurately completed for all patients. Patient age, gender, and the name of the requesting clinician were provided and accurately recorded on over 98% of the LRFs. However, there was a notable deficiency in recording the time of specimen collection, with percentages of 0.0%, for patient and clinician telephone contacts, 0.74%, and 1.47%, respectively.
Conclusion
Clinicians may lack awareness of the significance of completing LRFs adequately. Therefore, regular orientation programs should be implemented to enhance the effectiveness of LRFs completion.
Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation
Authors: Spiliotis Konstantinos , Appali Revathi , Gomes Anna Karina Fontes , Payonk Jan Philipp , Adrian Simon , Rienen Ursula van , Starke Jens , Köhling Rüdiger 
Published: May 2024

Abstract

In this study, we develop a large-scale biophysical network model for the isolated striatal body to optimise potential intrastriatal deep brain stimulation applied in, e.g. obsessive-compulsive disorder by using spatiotemporal patterns produced by the network. The model uses modified Hodgkin-Huxley models on small-world connectivity, while the spatial information, i.e. the positions of neurons, is obtained from a detailed human atlas. The model produces neuronal activity patterns segregating healthy from pathological conditions. Three indices were used for the optimisation of stimulation protocols regarding stimulation frequency, amplitude and localisation: the mean activity of the entire network, the mean activity of the ventral striatal area (emerging as a defined community using modularity detection algorithms), and the frequency spectrum of the entire network activity. By minimising the deviation of the aforementioned indices from the normal state, we guide the optimisation of deep brain stimulation parameters regarding position, amplitude and frequency.
Quantitative Assessment of Multi-Scenario High-Elevation and Long-Runout Debris Flow Hazard and Risk: A Case Study of Cuojiu Valley, South-eastern Qinghai-Tibet Plateau
Authors: ZHU Tanfang , WANG Tao , ZHANG Shuai , XIN Peng , XING Xinfu 
Published: May 2024

Abstract

In recent years, the impacts of climate change have significantly increased the susceptibility southeastern Tibet to various geological hazards, characterized by high-elevation and long-runout geological events. These hazards pose significant long-term implications for the development and maintenance of critical railways in the vicinity. Consequently, the implementation of an effective quantitative assessment method for geological hazards becomes paramount for disaster prevention and mitigation. This study introduces a novel method integrating remote sensing, drone-based oblique photogrammetry, and onsite field investigation for effectively identifying geological hazards, and presents a risk quantification technique tailored for high mountain regions under varied rainfall possibilities. By applying this innovative approach, a comprehensive investigation was conducted to assess the characteristics and impacts of rainfall-induced debris flow in the Cuojiu Valley, southeastern Tibet, under varying rainfall probabilities. The study examines the effects of these debris flow on the regional railway, based on the maximum accumulated thickness and the highest affected height triggered by rainfall. The analysis revealed that severe rainfall events act as triggers for these hazardous occurrences. Importantly, the study highlights that the safety of critical railways in the region is compromised by the identified debris flow risk in the Cuojiu Valley during extreme rainfall events. This study's novelty lies in identifying the distribution of geological hazard sources through the proposed method and conducting a quantitative assessment of multi-scenario high-elevation and long-runout debris flows in the Cuojiu Valley. This provides valuable insights for preventing geological hazards in high-elevation valleys.