Objective:To construct a recommended list of high-alert medication (HAM) based on big data from medication error (ME) reports in China, providing reference for preventing and reducing HAM-related risks.Methods:The drugs involved in the serious ME reports of the National Monitoring Network for Clinical Safe Medication (Monitoring Network) were collected (as of December 31, 2023), and the candidate drugs were preliminarily determined referring to the HAM list of China 2023 (Chinese list) and the latest three lists of American Institute for Safe Medication Practices (ISMP). Candidate drugs that were included in both the Chinese list and ISMP lists, as well as those existed in the Chinese list but had never been included in the ISMP lists were included in the current list, and their risk levels followed the original risks in the Chinese list. Candidate drugs that existed in the Chinese list but had been excluded from the ISMP lists, and those existed in the ISMP lists but had not been included in the Chinese list were listed as suspected drugs. For the other candidate drugs, those did not meet the definition of HAM were excluded firstly, and those related to ME that had caused serious harm were listed as suspected drugs, according to the judicial cases on ME of China Judgements Online and PKULAW database. Two methods, including Delphi expert consultation and questionnaire survey, were used to determine whether the above suspected drugs were included in the HAM list and their risk levels.Results:A total of 138 drugs were obtained through the initial screening, 106 of which were directly included in the current list, and 32 of which were listed as drugs requiring further assessment. After 2 rounds of Delphi expert consultation by 18 experts and surveys with 136 valid questionnaires, 32 suspected drugs did not meet the inclusion criteria. Finally, a total of 106 drugs were included in the current list, including 51 A-class drugs in 9 categories, 33 B-class drugs in 9 categories, and 22 C-class drugs in 5 categories.Conclusion:Based on the big data of the ME reports in China, a HAM list is constructed, which is accurate and concise and better fits the actual clinical drug risks in China, helping to improve the drug safety management.

Objective:To construct a recommended list of high-alert medication (HAM) based on big data from medication error (ME) reports in China, providing reference for preventing and reducing HAM-related risks.Methods:The drugs involved in the serious ME reports of the National Monitoring Network for Clinical Safe Medication (Monitoring Network) were collected (as of December 31, 2023), and the candidate drugs were preliminarily determined referring to the HAM list of China 2023 (Chinese list) and the latest three lists of American Institute for Safe Medication Practices (ISMP). Candidate drugs that were included in both the Chinese list and ISMP lists, as well as those existed in the Chinese list but had never been included in the ISMP lists were included in the current list, and their risk levels followed the original risks in the Chinese list. Candidate drugs that existed in the Chinese list but had been excluded from the ISMP lists, and those existed in the ISMP lists but had not been included in the Chinese list were listed as suspected drugs. For the other candidate drugs, those did not meet the definition of HAM were excluded firstly, and those related to ME that had caused serious harm were listed as suspected drugs, according to the judicial cases on ME of China Judgements Online and PKULAW database. Two methods, including Delphi expert consultation and questionnaire survey, were used to determine whether the above suspected drugs were included in the HAM list and their risk levels.Results:A total of 138 drugs were obtained through the initial screening, 106 of which were directly included in the current list, and 32 of which were listed as drugs requiring further assessment. After 2 rounds of Delphi expert consultation by 18 experts and surveys with 136 valid questionnaires, 32 suspected drugs did not meet the inclusion criteria. Finally, a total of 106 drugs were included in the current list, including 51 A-class drugs in 9 categories, 33 B-class drugs in 9 categories, and 22 C-class drugs in 5 categories.Conclusion:Based on the big data of the ME reports in China, a HAM list is constructed, which is accurate and concise and better fits the actual clinical drug risks in China, helping to improve the drug safety management.

Objective:To explore the clinical features and survival of newly diagnosed follicular lymphoma (FL) patients with diffuse large B-cell lymphoma (DLBCL) component.Methods:1845 newly diagnosed FL patients aged ≥ 18 years with grades 1-3a in 11 medical centers in China from 2000 to 2020 were included, and patients with DLBCL component were screened. The clinical data and survival data of the patients were retrospectively analyzed, and the prognostic factors were screened by univariate and multivariate analysis.Results:146 patients (7.9% ) with newly diagnosed FL had DLBCL component. The median age was 56 (25-83) years, 79 males (54.1% ) . The pathology of 127 patients showed the proportion of DLBCL component. Patients were divided into two groups according to whether the proportion of DLBCL component was ≥ 50% . The study found that patients with DLBCL component ≥ 50% had higher grade 3 ratio (94.3% vs 91.9% , P=0.010) , Ki-67 index ≥ 70% ratio (58.5% vs 32.9% , P=0.013) and PET-CT SUVmax ≥ 13 ratio (72.4% vs 46.3% , P=0.030) than patients with DLBCL component<50% . All patients received CHOP or CHOP like ± rituximab chemotherapy. The overall response rate (ORR) was 88.2% , and the complete response (CR) rate was 76.4% . In the groups with different proportions of DLBCL component, there was no significant difference in the remission rate after induction treatment and the incidence of disease progression within 2 years after initiation of treatment (POD24) ( P<0.05) . The overall estimated 5-year progression free survival (PFS) rate was 58.9% , and the 5-year overall survival (OS) rate was 90.4% . The 5-year OS rate of POD24 patients was lower than that of non POD24 patients (70.3% vs 98.5% , P<0.001) . Compared with non maintenance treatment of rituximab, maintenance treatment of rituximab could not benefit the 5-year PFS rate (57.7% vs 58.8% , P=0.543) , and the 5-year OS rate had a benefit trend, but the difference was not statistically significant (100% vs 87.8% , P=0.082) . Multivariate analysis showed that failure to reach CR after induction treatment was an independent risk factor for PFS ( P=0.006) , while LDH higher than normal was an independent risk factor for OS ( P=0.031) . Conclusion:FL patients with DLBCL component ≥50% have more invasive clinical and pathological features. CHOP/CHOP like ± rituximab regimen can improve the clinical efficacy of patients. Rituximab maintenance therapy can not benefit the PFS and OS of patients. Failure to reach CR after induction therapy was the independent unfavorable factor for PFS.

Objective:To analyze the occurrence of medication errors (MEs) and their influencing factors on proton pump inhibitors (PPIs) and to provide reference for the standard use of PPIs in clinic.Methods:The ME reports on PPI-related MEs in the National Monitoring Network for Clinical Safe Medication (monitoring network) from January 1, 2020 to December 31, 2020, were collected and information of MEs including drugs involved, ME grading, error content, the persons who triggered and found the errors, and the factors that caused the errors were analyzed.Results:A total of 593 PPI-related ME reports from 97 hospitals in 21 provinces and municipalities in China were collected in the monitoring network in 2020. A total of 593 patients were involved, including 358 males (60.4%) and 235 females (39.6%), aged from 1 to 99 years old with an average age of 53.7 years. In the 593 MEs, there were 418 (70.5%), 167 (28.2%), 7 (1.2%), and 1 (0.2%) MEs were graded as grade B, C, D, and E, respectively; a total of 6 kinds of PPIs were involved and 649 times of ME occurred, of which 177 times (27.2%) were related to omeprazole, 143 (22.0%) to rabeprazole, 135 (20.8%) to esomeprazole, 123 (19.0%) to pantoprazole, 66 (10.2%) to lansoprazole, and 5 (0.8%) to ilaprazole. Among the 593 patients, the medication indications for PPIs included prevention of stress mucosal injury in 303 patients (51.1%), gastroesophageal reflux disease in 91 patients (15.3%), peptic ulcer in 64 patients (10.8%), upper gastrointestinal bleeding in 25 patients (4.2%), helicobacter pylori infection eradication in 6 patients (1.0%), and non-steroidal anti-inflammatory drug-related ulcers in 6 patients (1.0%). There were 103 patients (17.4%) received PPIs without appropriate indications and 5 patients (0.8%) with 2 indications at the same time. The 593 ME reports involved a total of 609 times of ME content, and the wrong indication (16.9%, 103/609) ranked the first, followed by the wrong drug class (16.3%, 99/609) and the wrong medication frequency (14.0%, 85/609). Among the 593 MEs, 75.1% (445 MEs) were triggered by physician, 20.7% (123 MEs) by pharmacists, 2.5% (15 MEs) by nurse, 0.7% (4 MEs) by patients/family members, and 1.0% (6 MEs) by others; 418 MEs (70.5%) were detected and intercepted in time, of which 87.6% (366/418) were found by pharmacists, 8.1% (34/418) by nurses, and 4.3% (18/418) by patients/family members. The factors that caused MEs occurred 659 times in total, mainly including lack of knowledge/insufficient training (accounting for 50.8%, 335/659), fatigue (accounting for 18.4%, 121/659), and look alike/sound alike (accounting for 9.1%, 60/659). Conclusions:The contents of PPIs-related MEs mainly include wrong indications, wrong drug class, and wrong medication frequency. MEs are mainly caused by physicians and mostly discovered and intercepted by pharmacists. Lack of knowledge/inadequate training is a major factor in causing MEs.

Objective:To analyze the occurrence of medication errors (MEs) and their influencing factors on proton pump inhibitors (PPIs) and to provide reference for the standard use of PPIs in clinic.Methods:The ME reports on PPI-related MEs in the National Monitoring Network for Clinical Safe Medication (monitoring network) from January 1, 2020 to December 31, 2020, were collected and information of MEs including drugs involved, ME grading, error content, the persons who triggered and found the errors, and the factors that caused the errors were analyzed.Results:A total of 593 PPI-related ME reports from 97 hospitals in 21 provinces and municipalities in China were collected in the monitoring network in 2020. A total of 593 patients were involved, including 358 males (60.4%) and 235 females (39.6%), aged from 1 to 99 years old with an average age of 53.7 years. In the 593 MEs, there were 418 (70.5%), 167 (28.2%), 7 (1.2%), and 1 (0.2%) MEs were graded as grade B, C, D, and E, respectively; a total of 6 kinds of PPIs were involved and 649 times of ME occurred, of which 177 times (27.2%) were related to omeprazole, 143 (22.0%) to rabeprazole, 135 (20.8%) to esomeprazole, 123 (19.0%) to pantoprazole, 66 (10.2%) to lansoprazole, and 5 (0.8%) to ilaprazole. Among the 593 patients, the medication indications for PPIs included prevention of stress mucosal injury in 303 patients (51.1%), gastroesophageal reflux disease in 91 patients (15.3%), peptic ulcer in 64 patients (10.8%), upper gastrointestinal bleeding in 25 patients (4.2%), helicobacter pylori infection eradication in 6 patients (1.0%), and non-steroidal anti-inflammatory drug-related ulcers in 6 patients (1.0%). There were 103 patients (17.4%) received PPIs without appropriate indications and 5 patients (0.8%) with 2 indications at the same time. The 593 ME reports involved a total of 609 times of ME content, and the wrong indication (16.9%, 103/609) ranked the first, followed by the wrong drug class (16.3%, 99/609) and the wrong medication frequency (14.0%, 85/609). Among the 593 MEs, 75.1% (445 MEs) were triggered by physician, 20.7% (123 MEs) by pharmacists, 2.5% (15 MEs) by nurse, 0.7% (4 MEs) by patients/family members, and 1.0% (6 MEs) by others; 418 MEs (70.5%) were detected and intercepted in time, of which 87.6% (366/418) were found by pharmacists, 8.1% (34/418) by nurses, and 4.3% (18/418) by patients/family members. The factors that caused MEs occurred 659 times in total, mainly including lack of knowledge/insufficient training (accounting for 50.8%, 335/659), fatigue (accounting for 18.4%, 121/659), and look alike/sound alike (accounting for 9.1%, 60/659). Conclusions:The contents of PPIs-related MEs mainly include wrong indications, wrong drug class, and wrong medication frequency. MEs are mainly caused by physicians and mostly discovered and intercepted by pharmacists. Lack of knowledge/inadequate training is a major factor in causing MEs.

Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.

Objective: To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years. Results: The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (P<0.05). Compare with residents with annual household income less than 20 000 CNY in 2014, cancer risk assessment/screening intervention population, and self-assessment with cancer risk, residents with annual household income between 20 000 CNY and 59 000 CNY in 2014, occupational population, community residents, cancer patients, self-reported cancer-free risk, and self-assessment with unclear judgement of cancer risk were less likely to participate in the regular physical examination (all P values <0.05). Conclusion From 2015 to 2017, the Chinese urban residents had a acceptable consciousness of the cancer early detection. The marital status, annual household income, population group and self-assessment of cancer risk were related to the consciousness of the cancer early detection of people who had not participated in the regular physical examination in the past five years.

Objective: To understand the consciousness of the cancer early diagnosis among urban residents and identify the related factors from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The general demographic characteristics, the consciousness of the cancer early diagnosis (whether people would have a willingness or encourage their relatives/friends to confirm the abnormal results once which were detected from the physical examination) and other information were collected by using the self-designed questionnaire. The non-conditional logistic regression model was used to identify the relateol factors related to the consciousness of the cancer early diagnosis. Results: As for residents with abnormal result from the physical examination, 89.29% (28 802) of residents would choose to seek medical treatment for further diagnosis. If their relatives/friends had abnormal results from the physical examination, 89.55% (28 886) of residents would encourage their relatives/friends to confirm the diagnosis in time. The non-conditional logistic regression model analysis showed that compared with the public institution staff/civil servants, annual household income less than 20 000 CNY, the western region and the cancer risk assessment/screening intervention population, the company staff, annual household income about 40 000 CNY and more, and the residents from the middle and eastern region had a stronger consciousness to seek further diagnosis; while the unemployed residents and community residents were less likely to seek further diagnosis (P<0.05). Conclusions From 2015 to 2017, the Chinese urban residents had a good consciousness of the cancer early diagnosis. Occupation, annual household income, residential region and population group were related to the consciousness of the cancer early diagnosis.

Objective: To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment. Results: With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (P<0.001). If the immediate family members were diagnosed as precancer or cancer, people who would encourage their family members to receive early treatment in the four groups accounted for 91.96%, 91.94%, 92.44% and 91.55%, respectively (P<0.001). The company employees, annual household income with 40 000 yuan and more and other three groups had a relatively better consciousness of the cancer early treatment (P<0.05). Male, widowed, unemployed and from the central and western regions had a relatively worse consciousness of the cancer early treatment (P<0.05). Conclusion Residents in urban China participants had a good consciousness of the cancer early treatment. The marital status, occupation, annual household income and residential regions were major factors related to the consciousness of the cancer early treatment.

Objective: To understand the health literacy of the cancer prevention and treatment among urban residents of China, and explore the related factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The health literacy of the cancer prevention, early discovery, early diagnosis, early treatment and the demands of cancer prevention and treatment knowledge was analyzed. The level of health literacy among different groups were calculated and compared. The binary logistic regression model was used to analyze the influencing factors of the health literacy of the cancer prevention and treatment. Results: The level of health literacy of the cancer prevention and treatment was 56.97% among all study population; in each group it was 55.01% for community residents, 59.08% for cancer risk assessment/screening population, 61.99% for cancer patients and 57.31% for occupational population, respectively (P<0.001). The level of health literacy of the cancer prevention and treatment of residents aged 50 to 69 years old, other occupational groups, unmarried, the central and western region residents and the group with unclear self-assessment of cancer risk was significantly lower than that of residents younger than 40 years old, personnel of public institutions/civil servants, married, the eastern region residents and the group whose self-assessment without cancer risk (P<0.05) . The level of health literacy of cancer prevention and treatment of females, people who went to high school or over, cancer risk assessment/screening population, cancer patients and occupational population was significantly higher than that of males, people who had an education level of primary school or below and community residents (P<0.05) . Conclusion The health literacy of the cancer prevention and treatment of urban residents in China was relatively high, but there was still room for improvement. Gender, age, educational level, occupation, region, marital status, self-assessment of cancer risk, and type of respondents were the key influencing factors of the health literacy of the cancer prevention and treatment. Male, 50-69 years old, lower educational level, central and western regions, unclear cancer risk self-assessment, and without specific environmental exposure to cancer prevention and treatment knowledge or related risk factors were the characteristics of the key intervention group of the health literacy of the cancer prevention and treatment.