Health information management : journal of the Health Information Management Association of Australia最新文献

{"title":"Comparison of the accuracy of inpatient morbidity coding with ICD-11 and ICD-10.","authors":"Javad Zarei, Reza Golpira, Nasim Hashemi, Zahra Azadmanjir, Zahra Meidani, Akram Vahedi, Hooman Bakhshandeh, Esmaeil Fakharian, Abbas Sheikhtaheri","doi":"10.1177/18333583231185355","DOIUrl":"10.1177/18333583231185355","url":null,"abstract":"<p><strong>Background: </strong>One of the challenges when transitioning from International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) to International Classification of Diseases, 11th Revision (ICD-11) is to ensure clinical coding accuracy.</p><p><strong>Objective: </strong>To determine the accuracy of clinical coding with ICD-11 in comparison with ICD-10 and identify causes of coding errors in real clinical coding environments.</p><p><strong>Method: </strong>The study was conducted prospectively in two general hospitals. Medical records of discharged inpatients were coded by hospital clinical coders with both ICD-11 and ICD-10 on different days. These medical records were recoded by five mentors. Codes assigned by mentors were used as the gold standard for the evaluation of accuracy.</p><p><strong>Results: </strong>The accuracy of ICD-10 and ICD-11 coding for 1578 and 2168 codes was evaluated. Coding accuracy was 89.1% and 74.2% for ICD-10 and ICD-11. In ICD-11, the lowest accuracy was observed in chapters 22 (injuries), 10 (ear) and 11 (circulatory) (51.1%, 53.8% and 62.7%, respectively). In both ICD-10 and ICD-11, the most important cause of the coding errors was clinical coders' mistakes (79.5% and 81.8% for ICD-10 and ICD-11, respectively).</p><p><strong>Conclusion: </strong>Accuracy of clinical coding with ICD-11 was lower relative to ICD-10. Hence, it is essential to carry out initial preparations, particularly the training of clinical coders based on their needs, as well as the necessary interventions to enhance the documentation of medical records according to ICD-11 before or simultaneous with the country-wide implementation.</p><p><strong>Implications: </strong>Clinical coders need complete training, especially in using extension codes and post-coordination coding. Local ICD-11 guidelines based on the needs of local users and reporting policies should be developed. Furthermore, documentation guidelines based on ICD-11 requirements should be developed.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"14-24"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9870579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Workforce survey of Australian health information management graduates, 2017-2021: A 5-year follow-on study.","authors":"Stephanie Gjorgioski, Merilyn Riley, Jenn Lee, Natasha Prasad, Melanie Tassos, Abbey Nexhip, Sally Richardson, Kerin Robinson","doi":"10.1177/18333583231197936","DOIUrl":"10.1177/18333583231197936","url":null,"abstract":"<p><p><b>Background:</b> Employment outcomes of La Trobe University's 2012-2016 health information manager (HIM) graduate cohort were reported previously. <b>Objectives:</b> To identify the 2017-2021 Australia-based, graduate HIMs' early career employment experiences; identify employment roles and destinations; investigate knowledge and skill sets utilised in professional performance; and compare outcomes with the previous study. <b>Method:</b> A cross-sectional design was utilised. An online survey elicited: demographic data, position-related details and knowledge-skills applied in the workplace. Inter- and intra-cohort comparisons were calculated. <b>Results:</b> Of contactable graduates, 75% (<i>n</i> = 150) completed the survey; 90% (<i>n</i> = 132) had held at least one profession-related position postgraduation; 51% gained employment before final examinations and 92% within 6 months. In their first role, 87% joined the public healthcare sector, 47% had worked in two or more positions and 12.3% in three or more positions. Categorisation of position titles showed that 40% had undertaken \"health information management\" roles, 14.9% \"health classification,\" 16.6% \"data management and analytics,\" 17.4% \"health ICT\" and 11.1% \"other,\" roles. Almost two-thirds (64.1%) had utilised three or four of the four professional knowledge-skill domains. There was an increase, from the 2012 to 2016 cohort, in those undertaking \"data management and analytics\" and \"health ICT\" roles, and a decrease in \"health classification\" role uptake. <b>Conclusion:</b> Early-career HIMs have very high employability. They engage throughout health care, predominately in the public health sector. Their mobility reflects national workforce trends. The majority utilise all or most of the professional knowledge-skill domains studied at university.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"43-54"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11705756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41143987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adoption of electronic patient medication records in community pharmacies in the United Arab Emirates: A cross-sectional survey.","authors":"Ahmad Z Al Meslamani, Anan S Jarab, Derar H Abdel-Qader, Osama Mohamed Ibrahim, Nadia Al Mazrouei","doi":"10.1177/18333583231190744","DOIUrl":"10.1177/18333583231190744","url":null,"abstract":"<p><strong>Background: </strong>Access to accurate and relevant patient health information is crucial for community pharmacists to deliver high-quality care. The use of electronic patient medication records (e-PMR) in the United Arab Emirates (UAE) is currently limited to hospital settings, and community pharmacists do not have access to patient records.</p><p><strong>Objective: </strong>To evaluate the perceptions of community pharmacists regarding the potential benefits, barriers, and concerns associated with the implementation of the e-PMR system in community pharmacies in the UAE.</p><p><strong>Method: </strong>A validated questionnaire was administered to a sample of licensed community pharmacists using proportionate random sampling. The survey was structured and consisted of 40 questions in four sections: characteristics of community pharmacists and pharmacies; perceived usefulness of e-PMR; perceived barriers; and concerns about the use of e-PMR.</p><p><strong>Results: </strong>In total, 552 pharmacists filled out the questionnaire (82.1% response rate). The majority of participants somewhat or strongly agreed that e-PMR would reduce drug abuse (71.6%), dispensing errors (64.4%) and prescribing errors (69.0%), and believed that e-PMR would enhance pharmacists' ability to perform medication reviews (76.0%). Pharmacists in charge (adjusted odds ratio (AOR) = 2.5; 95% confidence interval (CI): 1.6-3.6), facing difficulty tracking the medical history of patients (AOR = 3.2; 95% CI: 2.8-3.9) and working in pharmacies providing telepharmacy services (AOR = 3.4; 95% CI: 2.7-3.8) were more likely to consider e-PMR useful.</p><p><strong>Implications: </strong>The implementation of the e-PMR system in community pharmacies has potential benefits for patient safety and medication therapy management in the UAE.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"55-63"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9954646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attaining consensus on a core dataset for upper limb lymphoedema using the Delphi method: A foundational step in creating a clinical support system.","authors":"Robyn Sierla, Elizabeth Dylke, Simon Poon, Tim Shaw, Sharon Kilbreath","doi":"10.1177/18333583231188396","DOIUrl":"10.1177/18333583231188396","url":null,"abstract":"<p><p><b>Background:</b> Lymphoedema is a condition of localised swelling caused by a compromised lymphatic system. The protein-rich fluid accumulating in the interstitial tissue can create inflammation and irreversible changes to the skin and underlying tissue. An array of methods has been used to assess and report these changes. Heterogeneity is evident in the clinic and in the literature for the domains assessed, outcomes and outcome measures selected, measurement protocols followed, methods of analysis, and descriptors used to report change. <b>Objective:</b> This study seeks consensus on the required items for inclusion in a core data set for upper limb lymphoedema to digitise the monitoring and reporting of upper limb lymphoedema. <b>Methods:</b> The breadth of outcomes and descriptors in common use were captured in prior studies by this research group. This list was refined by frequency and proposed to experts in the field (<i>n</i> = 70) through a two-round online modified Delphi study. These participants rated the importance of each item for inclusion in the dataset and identified outcomes or descriptors they felt were missing in Round 1. In Round 2, participants rated any new outcomes or descriptors proposed and preference for how numeric data is displayed. <b>Results:</b> The core dataset was confirmed on completion of Round 2. Interlimb difference as a percentage, and limb volume were preferred for graphed display over time; and descriptors for observed and palpated change narrowed from 42 to 20. <b>Conclusion:</b> This dataset provides the foundation to create a clinical support system for upper limb lymphoedema.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"64-72"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11705753/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10119781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Defining career success: A cross-sectional analysis of health information managers' perceptions.","authors":"Abbey Nexhip, Merilyn Riley, Kerin Robinson","doi":"10.1177/18333583231184903","DOIUrl":"10.1177/18333583231184903","url":null,"abstract":"<p><strong>Background: </strong>Career success can be defined as the accomplishment of desirable outcomes in an individual's work experiences. It can be divided into objective and subjective career success. Objective success refers to tangible and measurable outcomes such as promotions and position titles. Subjective career success relates to an individual's interpretations of their success or accomplishments. The career success of health information management professionals has not been explored in the literature.</p><p><strong>Aim: </strong>To determine the indicators of career success as reported by health information managers (HIMs) and identify whether there are any differences based on length of time in the profession.</p><p><strong>Methods: </strong>Using a cross-sectional study design, an online survey was administered to a sample of La Trobe University and Lincoln Institute of Health Sciences Medical Record Administration and Health Information Management graduates from 1985, 1995, 2005 and 2015, which included the following question: \"How would you define success in your career?\"</p><p><strong>Results: </strong>Almost 88% (<i>n</i> = 63) of overall participants in the study responded to this item. Subjective factors (<i>n</i> = 77) of career success, compared to objective factors (<i>n</i> = 22), were more common. The categories of recognition (feeling valued/appreciated), job satisfaction and feelings of accomplishment/sense of achievement were commonly reported.</p><p><strong>Discussion: </strong>Subjective factors of an individual's career success were deemed to be more significant than objective factors among HIMs.</p><p><strong>Conclusion: </strong>Factors such as recognition and appreciation at work, job satisfaction, fostering high-quality work outputs and creating a sense of achievement should be the major foci for managers, organisations and individuals.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"34-42"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11707962/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9870578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Health information management students' work-integrated learning (professional practice placements): Where do they go and what do they do?","authors":"Kerin Robinson, Merilyn Riley, Natasha Prasad, Abbey Nexhip","doi":"10.1177/18333583241303771","DOIUrl":"https://doi.org/10.1177/18333583241303771","url":null,"abstract":"<p><p><b>Background:</b> Work-integrated learning (WIL) is integral to most health disciplines' profession-qualifying degree programs. <b>Objectives:</b> To analyse the categories, locales and foci of final-year (capstone), health information management professional practice (WIL) placements, 2012-2021, at La Trobe University, Australia. <b>Method:</b> A documentary analysis of 614 placement agency proposals, 2012-2021, interrogated multiple characteristics: agency type, placement (sub-) category (WIL model), project type, agency-required student capabilities, intended learning outcomes. <b>Results:</b> Public hospitals offered 50% of all placements. Medical research/health or disease screening/clinical registries offered 17.8%, incorporating 86.7% of \"research-based\" placements. Government department offerings were consistently stable; private hospital, primary care and community healthcare offerings declined. The majority (64.8%) of offerings were \"project-based,\" followed by \"internship\" (28.7%: Health Information Service (14%) and \"other\" (14.7%)), research-based (4.9%) and other (1.6%). Ninety-nine (16.1%) proposals specified additional, pre-placement skills and capabilities: technical (information technologies, software applications; 58.6% of 99 proposals); working independently (49.5%); communications (written, verbal; 45.5%); targeted interest (38.4%) in \"informatics and data quality,\" \"quality and safety,\" \"software development,\" \"coding\"; organisational and/or time management skills (29.9%); teamwork skills (20.2%); data analysis skills (18.2%); enthusiasm and/or self-motivation (15.2%). <b>Conclusion:</b> The project-based model for the capstone placement is ideal for preparing health information management students for complex, graduate professional work. Agencies' pre-placement expectations of students (knowledge, technical skills, soft skills) are consistent with findings from the WIL literature and align with course curricula and Australia's Health Information Manager (HIM) Profession-entry Competency Standards. <b>Implications:</b> The findings will strengthen the health information management profession's knowledge base of WIL and inform educators, students and agency supervisors.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241303771"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142848617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physician-clinical coder collaboration effectively improves coding accuracy: A single-centre prospective study in China.","authors":"Yicong Xu, Huanbing Zhu, Zhijun Xu, Fanying Jin, Jing Chen, Xuanliang Pan, Dong Cai, Shengdong Pan","doi":"10.1177/18333583241302402","DOIUrl":"https://doi.org/10.1177/18333583241302402","url":null,"abstract":"<p><p><b>Background:</b> Clinical coding is important for reimbursement, resource planning, administration and medical research. <b>Objective:</b> This study aimed to evaluate clinical coding accuracy and its influencing factors, especially the benefits of physician-clinical coder collaboration. <b>Method:</b> Twenty-four physicians and one senior clinical coder participated in the quality audit. The audit checklist, assessment criteria, training program and physician-clinical coder collaboration mechanism were clearly defined. The homepage filling standards, homepage filling guidelines and the guidelines of the <i>International Classification of Diseases</i> were used as the assessment criteria for evaluating accuracy. <b>Results:</b> A total of 323,320 medical records were reviewed. The average accuracy of homepage completion was 60.4% and poor-quality homepages accounted for 89.9% of coding errors. The average coding accuracy and correction percentage were 83.4% and 62.3%, respectively. After physician-clinical coder collaboration, the coding accuracy increased from 78.9% to 87.1% (χ² = 799.904, <i>p</i> <i><</i> 0.001) and correction percentage increased from 52.0% to 73.0% (χ² = 1628.015, <i>p</i> <i><</i> 0.001). Multivariate logistic regression revealed that complexity of medical records (odds ratio (OR) = 0.625), quality of homepages (OR = 20.445), month of physician-clinical coder collaboration (OR = 1.133-2.297), coder's major (OR = 1.616), coding experience (OR = 1.953), work engagement (OR = 1.290) and day of the week (OR = 1.054) were factors influencing coding accuracy. <b>Conclusion:</b> Physician-clinical coder collaboration effectively improved clinical coding accuracy and clinical coders benefited greatly. However, homepage quality was not improved. Furthermore, homepage quality and psychological factors influenced coding accuracy. <b>Implications:</b> Managers should implement regular standardised training for homepage completion, alongside ongoing improvements in coding practices and training.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241302402"},"PeriodicalIF":0.0,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142840459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The health information management workforce: Looking to the future.","authors":"Sallyanne Wissmann, Joan Henderson, Kerin Robinson","doi":"10.1177/18333583241303635","DOIUrl":"https://doi.org/10.1177/18333583241303635","url":null,"abstract":"","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241303635"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physicians' acceptance and adoption of mobile health applications during the COVID-19 pandemic in Saudi Arabia: Extending the unified theory of acceptance and use of technology model.","authors":"Sultan Alsahli, Su-Yin Hor, Mary K Lam","doi":"10.1177/18333583241300534","DOIUrl":"https://doi.org/10.1177/18333583241300534","url":null,"abstract":"<p><p><b>Background:</b> The COVID-19 pandemic has highlighted the critical role of mobile health applications in the management of health crises. Despite the promising outcomes of these technologies, however, their acceptance and use among physicians in the developing world such as Saudi Arabia are notably low. <b>Objective:</b> The study aimed to explore the factors influencing the acceptance and adoption of mobile health applications by physicians in Saudi Arabia during the COVID-19 pandemic. <b>Method:</b> The study employed a qualitative research method, guided by the Unified Theory of Acceptance and Use of Technology (UTAUT). The study collected data through semi-structured interviews with 16 physicians to delve into the determinants of their readiness to adopt m-health technologies. Data were analysed using template analysis to identify key themes and patterns. <b>Results:</b> In line with the UTAUT, the study identified performance expectancy, effort expectancy, social influence and facilitating conditions as significant influencing factors of the acceptance and adoption of mobile health applications by physicians in Saudi Arabia during the pandemic. This study also inquired into context-specific determinants, such as data privacy concerns, patient engagement, organisational support and compatibility with religious and cultural norms, which are especially relevant in Saudi Arabia and similar developing countries, where these factors, alongside the exigencies arising from the COVID-19 pandemic, have shaped the landscape of mobile health applications utilisation. <b>Conclusions:</b> This study enriches the literature by expanding the UTAUT model to include context-specific drivers of acceptance and adoption. It highlights the need for tailored adoption frameworks to fit local contexts for successful m-health integration. <b>Implications:</b> This research broadens the UTAUT model by including cultural compatibility and data privacy concerns, offering deeper insights into mHealth adoption during crises. It highlights the need for policies and practices that support culturally sensitive app design, strengthen data privacy measures and provide improved training and patient engagement to enhance mHealth adoption.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241300534"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demystifying environmental health-related diseases: Using ICD codes to facilitate environmental health clinical referrals.","authors":"Melissa Stoneham, Peter Schneider, James Dodds","doi":"10.1177/18333583241300235","DOIUrl":"https://doi.org/10.1177/18333583241300235","url":null,"abstract":"<p><p><b>Background:</b> The burden of disease of Aboriginal and Torres Strait Islander people is estimated as 2.3 times that of the broader Australian population, with between 30% and 50% of health inequalities attributable to poor environmental health. <b>Objective:</b> Although many Australian states and territories have clinical policy initiatives that seek to reduce the burden of preventable disease in this population, including field-based environmental health clinical referrals (EHCRs), there is little consistency across the jurisdictions, resulting in less potential to break the cycle of recurrent diseases within the home environment. <b>Method and Results:</b> This study addresses this inconsistency by recommending recognition and categorisation of environmental health risks to allow for accurate diagnosis and comparability across health services and locations by using the <i>International Statistical Classification of Diseases and Related Health Problems</i> (ICD) system, already in use in hospitals. <b>Conclusion and Implications:</b> Developing a list of mutually agreed environmental health attributable diseases for the EHCR process using assigned ICD-10-AM codes would influence the provision of primary care to include recognition of the impact of environmental health conditions and allow environmental health staff to provide a response and education at both community and household levels to break disease cycles.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241300235"},"PeriodicalIF":0.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142735202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}