1.Progress in research of textual quality evaluation of health-related media reports
Lei YANG ; Min ZHAO ; Shuying ZHAO ; Wangxin XIAO ; Peixia CHENG ; Guoqing HU
Chinese Journal of Epidemiology 2025;46(7):1269-1275
Objective:To summarize the progress in the research of textual quality evaluation of health-related media reports.Methods:A systematic literature retrieval about textual quality evaluation of health-related media reports based on PubMed, Web of Science, Embase, Wanfang database, and China National Knowledge Infrastructure was conducted. Information regarding the textual quality definition, evaluation dimensions, indicators and methods of included papers was extracted.Results:A total of 29 study papers were included in this analysis, in which 26 were about retrospective textual quality evaluation of health-related media reports, and 3 were about the model or tool development for textual quality evaluation of health-related media reports. The topics of news reports included: 16 studies on injury, 3 on general health, 3 on infectious disease, 3 on cancer screening and treatment, 3 on chronic non-communicable disease, and 1 on medication risk. The definition of textual quality of health-related media reports and the dimensions of the quality evaluation varied across the studies. The quality evaluation indicators of media reports can be divided into three categories: availability of surveillance information, availability of professional information, and adherence to principles of media reporting. Most studies conducted the quality evaluation manually, with only 2 studies employing semi-automated or automated evaluation methods.Conclusions:No unified definition, set of dimensions, indicators, or automated algorithms exist for evaluating the textual quality of health-related media reports, which limits assessing massive news data effectively. It is necessary to conduct methodological studies on the textual quality evaluation of health-related media reports based on journalism and communication theory, infodemiology, deep learning, natural language processing, text mining, as well as specific disease and injury prevention theory.
2.Progress in research of textual quality evaluation of health-related media reports
Lei YANG ; Min ZHAO ; Shuying ZHAO ; Wangxin XIAO ; Peixia CHENG ; Guoqing HU
Chinese Journal of Epidemiology 2025;46(7):1269-1275
Objective:To summarize the progress in the research of textual quality evaluation of health-related media reports.Methods:A systematic literature retrieval about textual quality evaluation of health-related media reports based on PubMed, Web of Science, Embase, Wanfang database, and China National Knowledge Infrastructure was conducted. Information regarding the textual quality definition, evaluation dimensions, indicators and methods of included papers was extracted.Results:A total of 29 study papers were included in this analysis, in which 26 were about retrospective textual quality evaluation of health-related media reports, and 3 were about the model or tool development for textual quality evaluation of health-related media reports. The topics of news reports included: 16 studies on injury, 3 on general health, 3 on infectious disease, 3 on cancer screening and treatment, 3 on chronic non-communicable disease, and 1 on medication risk. The definition of textual quality of health-related media reports and the dimensions of the quality evaluation varied across the studies. The quality evaluation indicators of media reports can be divided into three categories: availability of surveillance information, availability of professional information, and adherence to principles of media reporting. Most studies conducted the quality evaluation manually, with only 2 studies employing semi-automated or automated evaluation methods.Conclusions:No unified definition, set of dimensions, indicators, or automated algorithms exist for evaluating the textual quality of health-related media reports, which limits assessing massive news data effectively. It is necessary to conduct methodological studies on the textual quality evaluation of health-related media reports based on journalism and communication theory, infodemiology, deep learning, natural language processing, text mining, as well as specific disease and injury prevention theory.
3.A clinical study of trazodone replacement treatment on benzodiazepine drugs dependence in senile patient
Liqun XIAO ; Peng LIAN ; Wangxin ZHANG ; Tian LIANG ; Ruilan ZHOU
Chinese Journal of Behavioral Medicine and Brain Science 2012;21(3):253-254
Objective To explore the efficacy of trazodone replacement treatment on benzodiazepine drugs dependence and effect of cognitive function on senile patients.Methods 51 senile patients with benzodiazepine drugs dependence were assigned with dosage tacho-decrement and replaced by trazodone.The patients were discontinuanced taking benzodiazepine in 14 days and taken at a draught of trazodone before retiring about 6 months.Clinical effect and side effects were assessed with the Pittsburgh sleep quality index (PSQJ) and treatment emergent symptom scale(TESS) before and after treatment.Cognitive function was evaluated with Wechsler intelligence scale for adult-Chinese revised (WAIS-RC) and Wechsler mermory scale for adult-Chinese revised ( WMS-RC ) once before and after treatment.Results The scores total PSQJ( ( 13.17 ± 3.70),( 11.05 ± 3.48 ) ),the sleep quality( (2.36 ± 0.33 ),( 1.91 ± 0.29 ) ),daily function disorder,sleep disorder were significantly lower than before treatment while the other factor scores were not significantly changed.Trazodone wes effective without severe side effects and dependence.The study group showed significantly lower scores in learning,calculation,the signs of figure,wood puzzles,long-term memory,short-term memory,immediate memory,memory quotient in the assessment of cognitive function than after treatmemt (P < 0.05 ).Conclusion Trazodone is an ideal medicine to senile insomnia.

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