Objective To develop a systematic and scientific assessment-adaptation-evaluation framework for wheelchair cushions.Methods A mixed-methods approach integrating literature review,qualitative interviews and Delphi expert consultation was employed.First,27 relevant studies were identified through systematic literature searches,comprehensively synthesizing wheelchair cushion types,performance indicators,key assessment/adaptation elements and evalua-tion methods.Second,semi-structured interviews were conducted with 24 wheelchair users and six assistive tech-nology specialists.Interview transcripts were analyzed using Colaizzi's phenomenological analysis to extract themes and deeply explore user needs and practitioner experiences.Based on the literature and interview find-ings,the research team developed a preliminary protocol comprising an assessment form,an adaptation process table and an effectiveness evaluation form.Finally,20 multidisciplinary experts participated in a two-round Del-phi consultation.Experts rated the importance of items using a 5-point Likert scale.Consensus was analyzed us-ing Kendall's W coefficient and the coefficient of variation(CV),supplemented by mean importance scores and full-score frequency to refine the protocol.Results The consultation demonstrated excellent expert engagement(100%response rate)and strong authority(Cr=0.90).The finalized protocol comprised of an assessment form(four primary domains/21 secondary items),an ad-aptation protocol(two primary domains/eight secondary items)and an evaluation form(two primary domains/15 secondary items).Statistical analysis revealed Kendall's W=0.20(P<0.05),mean importance scores of(4.48±0.72),CV=(0.15±0.05),and full-score frequency of(60.80±16.39)%,indicating acceptable consensus.Conclusion The assessment-adaptation-evaluation method for wheelchair cushions constructed in this study is scientific,comprehensive and operable,and can provide a standardized tool for clinical personalized adaptation.Future studies should enhance the applicability of the method in diverse clinical settings.

Objective To develop a systematic and scientific assessment-adaptation-evaluation framework for wheelchair cushions.Methods A mixed-methods approach integrating literature review,qualitative interviews and Delphi expert consultation was employed.First,27 relevant studies were identified through systematic literature searches,comprehensively synthesizing wheelchair cushion types,performance indicators,key assessment/adaptation elements and evalua-tion methods.Second,semi-structured interviews were conducted with 24 wheelchair users and six assistive tech-nology specialists.Interview transcripts were analyzed using Colaizzi's phenomenological analysis to extract themes and deeply explore user needs and practitioner experiences.Based on the literature and interview find-ings,the research team developed a preliminary protocol comprising an assessment form,an adaptation process table and an effectiveness evaluation form.Finally,20 multidisciplinary experts participated in a two-round Del-phi consultation.Experts rated the importance of items using a 5-point Likert scale.Consensus was analyzed us-ing Kendall's W coefficient and the coefficient of variation(CV),supplemented by mean importance scores and full-score frequency to refine the protocol.Results The consultation demonstrated excellent expert engagement(100%response rate)and strong authority(Cr=0.90).The finalized protocol comprised of an assessment form(four primary domains/21 secondary items),an ad-aptation protocol(two primary domains/eight secondary items)and an evaluation form(two primary domains/15 secondary items).Statistical analysis revealed Kendall's W=0.20(P<0.05),mean importance scores of(4.48±0.72),CV=(0.15±0.05),and full-score frequency of(60.80±16.39)%,indicating acceptable consensus.Conclusion The assessment-adaptation-evaluation method for wheelchair cushions constructed in this study is scientific,comprehensive and operable,and can provide a standardized tool for clinical personalized adaptation.Future studies should enhance the applicability of the method in diverse clinical settings.

Objective:To investigate the knowledge, attitudes, practices (KAP), and demands of medical staff in family physician teams regarding the application of artificial intelligence (AI) in contracted services, and to analyze the influencing factors.Methods:A cross-sectional study was conducted from June to July 2023. A total of 602 medical staff members from family physician teams in Shanghai Minhang District were selected as subjects. Data on demographics (age, gender, institution, position, education, work experience, household registration, professional title, marital status, fertility status) and KAP/demand regarding AI application in contracted services were collected using a self-designed questionnaire. Intergroup differences were analyzed. Multiple stepwise linear regression was employed to identify the main factors influencing AI application demand.Results:Among the 602 participants, 484 (80.4%) were aged 30-49 years, 466 (77.40%) were females, 559 (92.9%) held a bachelor′s degree or higher, and 505 (83.9%) had intermediate or senior professional titles. The awareness rate for knowledge, positive attitude rate, and practice implementation rate regarding AI application were 47.2% (284/602), 73.1% (440/602), and 32.1% (193/602), respectively. The mean scores for knowledge, attitude, and practice were 15.72±3.40, 18.34±3.41, and 14.60±3.89, respectively. Significant differences were found among the items within each KAP dimension (knowledge: F=7.688, P<0.001; attitude: F=5.106, P<0.001; practice: F=6.763, P<0.001). Within knowledge, item K3 (awareness of intelligent elderly monitoring devices) scored lowest (3.00±0.79), differing significantly from K1, K2, K4, and K5 (all P<0.05). Within attitude, item A5 (willingness to fully trust AI′s accuracy and convenience in contracted services) scored lowest (3.57±0.75), differing significantly from A3 and A4 (all P<0.05). Within practice, item P3 (increasing reliance on AI in daily contracted services) scored lowest (2.79±0.93), differing significantly from P1 and P2 (all P<0.05). KAP scores differed significantly across demographic subgroups. Knowledge scores differed significantly by age, gender, and marital status (all P<0.05). Attitude scores differed significantly by gender, household registration, and fertility status (all P<0.05). Practice scores differed significantly by gender, position, and marital status (all P<0.05). Regarding demand, the most frequently selected areas were follow-up services (28.74%, 173/602), data management (26.25%, 158/602), and data collection (25.42%, 153/602). Univariate analysis identified age, gender, education, professional title, fertility status, and KAP scores as significant factors influencing AI application demand (all P<0.05). Multiple stepwise linear regression revealed that older age ( t=3.905, P<0.001), female gender ( t=3.548, P<0.001), and higher practice scores ( t=-3.044, P=0.002) were significant predictors of greater AI application demand. Conclusions:Significant variations exist in the KAP levels regarding AI application among family physician team members. Gender, age, and practice behavior significantly influence demand. Tailored strategies for different subgroups, coupled with timely targeted training and practical exercises, are recommended to enhance the effective and widespread adoption of AI technology in family physician contracted services.

Objective:To investigate the knowledge, attitudes, practices (KAP), and demands of medical staff in family physician teams regarding the application of artificial intelligence (AI) in contracted services, and to analyze the influencing factors.Methods:A cross-sectional study was conducted from June to July 2023. A total of 602 medical staff members from family physician teams in Shanghai Minhang District were selected as subjects. Data on demographics (age, gender, institution, position, education, work experience, household registration, professional title, marital status, fertility status) and KAP/demand regarding AI application in contracted services were collected using a self-designed questionnaire. Intergroup differences were analyzed. Multiple stepwise linear regression was employed to identify the main factors influencing AI application demand.Results:Among the 602 participants, 484 (80.4%) were aged 30-49 years, 466 (77.40%) were females, 559 (92.9%) held a bachelor′s degree or higher, and 505 (83.9%) had intermediate or senior professional titles. The awareness rate for knowledge, positive attitude rate, and practice implementation rate regarding AI application were 47.2% (284/602), 73.1% (440/602), and 32.1% (193/602), respectively. The mean scores for knowledge, attitude, and practice were 15.72±3.40, 18.34±3.41, and 14.60±3.89, respectively. Significant differences were found among the items within each KAP dimension (knowledge: F=7.688, P<0.001; attitude: F=5.106, P<0.001; practice: F=6.763, P<0.001). Within knowledge, item K3 (awareness of intelligent elderly monitoring devices) scored lowest (3.00±0.79), differing significantly from K1, K2, K4, and K5 (all P<0.05). Within attitude, item A5 (willingness to fully trust AI′s accuracy and convenience in contracted services) scored lowest (3.57±0.75), differing significantly from A3 and A4 (all P<0.05). Within practice, item P3 (increasing reliance on AI in daily contracted services) scored lowest (2.79±0.93), differing significantly from P1 and P2 (all P<0.05). KAP scores differed significantly across demographic subgroups. Knowledge scores differed significantly by age, gender, and marital status (all P<0.05). Attitude scores differed significantly by gender, household registration, and fertility status (all P<0.05). Practice scores differed significantly by gender, position, and marital status (all P<0.05). Regarding demand, the most frequently selected areas were follow-up services (28.74%, 173/602), data management (26.25%, 158/602), and data collection (25.42%, 153/602). Univariate analysis identified age, gender, education, professional title, fertility status, and KAP scores as significant factors influencing AI application demand (all P<0.05). Multiple stepwise linear regression revealed that older age ( t=3.905, P<0.001), female gender ( t=3.548, P<0.001), and higher practice scores ( t=-3.044, P=0.002) were significant predictors of greater AI application demand. Conclusions:Significant variations exist in the KAP levels regarding AI application among family physician team members. Gender, age, and practice behavior significantly influence demand. Tailored strategies for different subgroups, coupled with timely targeted training and practical exercises, are recommended to enhance the effective and widespread adoption of AI technology in family physician contracted services.

Objective:To investigate the distribution and clinical characteristics of pathogenic bacteria following hematopoietic stem cell transplantation (HSCT), as well as to provide a preliminary research foundation for key microbial monitoring, and clinical diagnosis and treatment of infections after HSCT in hematological patients.Methods:We retrospectively analyzed the clinical data of 190 patients who tested positive for microbial testing [G-bacteria blood culture and/or carbapenem-resistant organism (CRO) screening of perianal swabs] at our center from January 2018 to December 2022. Patients were divided into blood culture positive, perianal swab positive, and double positive groups based on the testing results. The three patient groups underwent statistical analysis and comparison.Results:The top four pathogenic bacteria isolated from sixty-three patients with G-bacteria bloodstream infection (BSI) were Escherichia coli (28 strains, 43.75% ), Klebsiella pneumonia (26 strains, 40.63% ), Pseudomonas aeruginosa (3 strains, 4.69% ), and Enterobacter cloacae (3 strains, 4.69% ). The top three pathogenic bacteria isolated from 147 patients with CRO perianal colonization were carbapenem-resistant Klebsiella pneumoniae (58 strains, 32.58% ), carbapenem-resistant Escherichia coli (49 strains, 27.53% ), and carbapenem-resistant Enterobacter cloacae (20 strains, 11.24% ). The 3-year disease-free survival (DFS ) and overall survival (OS) of double positive group patients were significantly lower compared to those in the blood culture and perianal swab positive groups (DFS: 35.6% vs 53.7% vs 68.6%, P=0.001; OS: 44.4% vs 62.4% vs 76.9%, P<0.001), while non-relapse mortality (NRM) was significantly higher (50.0% vs 34.9% vs 10.6%, P<0.001). Failed engraftment of platelets and BSI are independent risk factors for NRM ( P<0.001). Using polymyxin and/or ceftazidime-avibactam for more than 7 days is an independent protective factor for NRM ( P=0.035) . Conclusion:This study suggests that the occurrence of BSI significantly increases the NRM after HSCT in patients with hematological diseases; CRO colonization into the bloodstream has a significant impact on the DFS and OS of HSCT patients.

Objective:This study aimed to analyze the homology between carbapenem-resistant organisms (CRO) intestinal colonization strains and bloodstream infection (BSI) strains in patients undergoing hematopoietic stem cell transplantation (HSCT), confirming the clinical use of the real-time rectal swab Xpert Carba-R assay, and investigate its feasibility in early warning of BSI.Methods:Drug-resistant strains obtained from rectal swabs and blood culture samples of patients undergoing the same HSCT from January 2021 to December 2021 were collected and analyzed. The homology of the CRO intestinal colonization and BSI strains was confirmed using strain identification, antimicrobial resistance phenotyping, whole genome sequencing (WGS), multilocus sequence typing (MLST), and carbapenemase type identification. Rectal swab cultures and the real-time rectal swab Xpert Carba-R assay were conducted concurrently on patients with HSCT from August 2021 to August 2022. The accuracy of the real-time rectal swab Xpert Carba-R assay was confirmed with the sequencing results of polymerase chain reaction amplification products of the carbapenemase gene from purified colonies as a reference standard.Results:This study included 24 CRO strains from 10 patients undergoing HSCT, including 14 intestinal colonizers and 10 CRO-BSI strains. The results revealed that the CRO intestinal colonization strains and CRO-BSI strains from the same patient and their carbapenemase genes were almost identical. Additionally, WGS revealed that CRO intestinal colonization and CRO-BSI strains from the same patient were more closely related than strains from different patients. Additionally, this study included 488 rectal swab specimens from 184 patients undergoing HSCT, with CRO detection rates of 16.4% for rectal swab culture and 18.4% for the real-time rectal swab Xpert Carba-R assay. The overall sensitivity, specificity, and positive and negative predictive values of the real-time rectal swab Xpert Carba-R assay were 96.6%, 72.8%, 90.6%, and 88.9%, respectively.Conclusions:A high degree of homology was found between the CRO intestinal colonization strains and the CRO-BSI strains in patients undergoing HSCT. The real-time rectal swab Xpert Carba-R assay is a reliable and convenient method for detecting common carbapenemase genes, serving as an alternative to rectal swab culture for early warning of CRO-BSI.

Objective:This study aimed to analyze the homology between carbapenem-resistant organisms (CRO) intestinal colonization strains and bloodstream infection (BSI) strains in patients undergoing hematopoietic stem cell transplantation (HSCT), confirming the clinical use of the real-time rectal swab Xpert Carba-R assay, and investigate its feasibility in early warning of BSI.Methods:Drug-resistant strains obtained from rectal swabs and blood culture samples of patients undergoing the same HSCT from January 2021 to December 2021 were collected and analyzed. The homology of the CRO intestinal colonization and BSI strains was confirmed using strain identification, antimicrobial resistance phenotyping, whole genome sequencing (WGS), multilocus sequence typing (MLST), and carbapenemase type identification. Rectal swab cultures and the real-time rectal swab Xpert Carba-R assay were conducted concurrently on patients with HSCT from August 2021 to August 2022. The accuracy of the real-time rectal swab Xpert Carba-R assay was confirmed with the sequencing results of polymerase chain reaction amplification products of the carbapenemase gene from purified colonies as a reference standard.Results:This study included 24 CRO strains from 10 patients undergoing HSCT, including 14 intestinal colonizers and 10 CRO-BSI strains. The results revealed that the CRO intestinal colonization strains and CRO-BSI strains from the same patient and their carbapenemase genes were almost identical. Additionally, WGS revealed that CRO intestinal colonization and CRO-BSI strains from the same patient were more closely related than strains from different patients. Additionally, this study included 488 rectal swab specimens from 184 patients undergoing HSCT, with CRO detection rates of 16.4% for rectal swab culture and 18.4% for the real-time rectal swab Xpert Carba-R assay. The overall sensitivity, specificity, and positive and negative predictive values of the real-time rectal swab Xpert Carba-R assay were 96.6%, 72.8%, 90.6%, and 88.9%, respectively.Conclusions:A high degree of homology was found between the CRO intestinal colonization strains and the CRO-BSI strains in patients undergoing HSCT. The real-time rectal swab Xpert Carba-R assay is a reliable and convenient method for detecting common carbapenemase genes, serving as an alternative to rectal swab culture for early warning of CRO-BSI.

The clinical manifestation, physical and laboratory examination, electrophysiological, and imaging data of 2 female adult OMS patients with vertigo were analyzed at the Department of Neurology of the First Medical Center of Chinese PLA General Hospital from February 2021 to March 2022. The treatment strategy and clinical outcome were followed up. The two female patients were aged 42 and 66 years. Anti-NMDA receptor antibody and anti-GABAB receptor antibody were detected in serological screening, respectively. The two patients met the diagnostic criteria for OMS, and one was screened for breast tumor. The clinical symptoms of the two patients were relieved after immunomodulation therapy. OMS is a group of rare clinical syndromes; its clinical evaluation process should be standardized and the etiology should be actively searched for.

The computer access, such as special mouse keyboard, software of the voice input and the magnified or reading screen, etc., can facilitate the people with disabilities to use the computer more efficiently. The computer access adaption should be evaluated to meet the users' needs, their function and the circumstances in which they live. The products should be easily designed, remade, and used for the cus-tomers and the prices should be available. For China, it is important to form professional teams, establish the good service process, achieve more supports, especially financial support, to research and develop more varieties of products.

OBJECTIVE: To investigate the sleep monitoring feature of the MSMS in elderly patients with OSAHS. METHOD: One hundred and ninety patients diagnosed with OSAHS were divided into elderly group and non elderly group according to age, then the results of MSMS were analyzed. RESULT: Majority elderly patients were with mild to moderate OSAHS. The nocturnal mean blood oxygen and the lowest oxygen were higher than non elderly group, coupled with higher percentage of the total oxygen saturation < 90% monitoring time (TS90). There was no significant difference in sleep structure between two groups, but the total sleep time of elderly group is lower than the non elderly group, the difference is statistically significant. CONCLUSION The elderly patients with OSAHS were less severe in nature, but the nocturnal hypoxia last longer in the elderly group. There is no significant difference in the sleep structure between the two groups. But the total sleep time decrease in elderly group. With smaller interference, the MSMS is closer to the natural sleep stustus of the subjects.
Aged ; Humans ; Hypoxia ; diagnosis ; Oxygen ; physiology ; Polysomnography ; Sleep ; Sleep Apnea, Obstructive ; diagnosis