Objective:To improve the risk management process for clinical trial projects using healthcare failure mode and effect analysis(HFMEA), for references for enhancing the risk identification and preventing capabilities of drug clinical trial institutions.Methods:From June to December 2022, this study focused on the project management process of a clinical trial centre in a tertiary public hospital. Following HFMEA procedures, a research team was established. Core processes prone to failure modes in the drug clinical trial project management and their potential failure modes were identified through group discussions, literature analysis, the Delphi method, and decision tree analysis. High-risk failure modes were screened via risk assessment, corresponding improvement measures were formulated and performed, and their effectiveness was validated.Results:The study identified 6 main processes, 17 sub-processes, and 102 potential failure modes. Delphi analysis confirmed 88 failure modes, with 19 having a failure risk priority number(RPN)≥8.00. Decision tree analysis identified 16 high-risk failure modes, involving 5 main processes and 10 sub-processes. Targeted improvements, such as adopting standardized hospital contract templates and setting deadlines for final payment settlement, etc., were implemented. One year post-implementation(January 2024), the RPN for all 16 high-risk failure modes were<8.00.Conclusions:HFMEA could help hospital clinical trial institutions comprehensively and systematically identify high-risk failure modes in the project management process, develop targeted improvement measures, and improve the level of drug clinical trial project management.

Objective:To improve the risk management process for clinical trial projects using healthcare failure mode and effect analysis(HFMEA), for references for enhancing the risk identification and preventing capabilities of drug clinical trial institutions.Methods:From June to December 2022, this study focused on the project management process of a clinical trial centre in a tertiary public hospital. Following HFMEA procedures, a research team was established. Core processes prone to failure modes in the drug clinical trial project management and their potential failure modes were identified through group discussions, literature analysis, the Delphi method, and decision tree analysis. High-risk failure modes were screened via risk assessment, corresponding improvement measures were formulated and performed, and their effectiveness was validated.Results:The study identified 6 main processes, 17 sub-processes, and 102 potential failure modes. Delphi analysis confirmed 88 failure modes, with 19 having a failure risk priority number(RPN)≥8.00. Decision tree analysis identified 16 high-risk failure modes, involving 5 main processes and 10 sub-processes. Targeted improvements, such as adopting standardized hospital contract templates and setting deadlines for final payment settlement, etc., were implemented. One year post-implementation(January 2024), the RPN for all 16 high-risk failure modes were<8.00.Conclusions:HFMEA could help hospital clinical trial institutions comprehensively and systematically identify high-risk failure modes in the project management process, develop targeted improvement measures, and improve the level of drug clinical trial project management.

OBJECTIVE To observe the effect of Huangjing Jiangya Decoction on blood pressure and sleep in patients with hy-pertension of qi-deficiency type accompanied by insomnia.METHODS 73 patients with hypertension of qi-deficiency type accompa-nied by insomnia who met the inclusion criteria were selected and randomly divided into an observation group of 36 cases and a control group of 37 cases.The control group was treated with amlodipine besylate tablets,and the observation group was given Huangjing Jian-gya Decoction oral treatment on the basis of the control group.Both groups were treated continuously for 8 weeks.The changes in TCM syndrome scores,office blood pressure monitoring(OBPM),home blood pressure monitoring(HBPM),24-hour ambulatory blood pressure monitoring(ABPM),Pittsburgh Sleep Quality Index(PSQI)scores and clinical efficacy of the two groups of patients before and after treatment were observed.RESULTS After treatment,the TCM syndrome scores in the observation group were significantly decreased(P<0.05,P<0.01),which were better than the control group(P<0.01);OBPM and HBMP in both groups were signifi-cantly reduced(P<0.05,P<0.01),the observation group was better than the control group(P<0.05,P<0.01);the ABPM of the observation group was significantly reduced(P<0.01),which was better than the control group(P<0.05,P<0.01);the sleep quali-ty,sleep latency,sleep duration,daytime dysfunction score and PSQI total score of the observation group were significantly decreased(P<0.01),which were better than those in the control group(P<0.05,P<0.01);the clinical efficacy of hypertension and insomnia in the observation group was both better than the control group(P<0.01).CONCLUSION Huangjing Jiangya Decoction combined with amlodipine can improve the symptoms of patients with hypertension of qi-deficiency type accompanied by insomnia,lower blood pressure,improve sleep quality,shorten sleep latency,alleviate daytime dysfunction,and has good clinical efficacy.

Objective:This study aims to analyze the clinical characteristics of elderly patients with lung adenocarcinoma and to construct a predictive model for assessing their survival.Methods:We conducted a retrospective analysis of clinical data sourced from the SEER database for patients aged 60 years or older who were diagnosed with lung adenocarcinoma between 2013 and 2018.Cox regression analysis was employed to identify independent prognostic factors affecting the survival of elderly lung adenocarcinoma patients, leading to the development of a nomogram model.The discriminative ability and calibration of the nomogram were assessed using the C-index and calibration curve.Each patient's total risk score was calculated based on the predictive model, and patients were stratified according to the quartiles of their total risk scores.The Kaplan-Meier method and Log-rank test were utilized to evaluate survival differences among the identified risk groups.Results:Among 38, 852 lung adenocarcinoma patients, 17, 200 were males and 21, 652 were females.Significant differences in survival rates were observed among lung adenocarcinoma patients based on age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, or liver metastases, as well as the type of treatment received, including surgical treatment, radiation therapy, and chemotherapy(all P<0.001).The C-index of the training model was 0.815(95% CI: 0.811-0.819), while the validation model yielded a C-index of 0.810(95% CI: 0.804-0.816).The prediction model demonstrated higher Area Under Curve(AUC)values of 0.746, 0.768, and 0.775 for 1-year, 3-year, and 5-year survival in the modeling dataset, respectively, and 0.747, 0.770, and 0.777 in the validation dataset.Furthermore, the risk stratification model effectively distinguished patients at varying levels of risk( P<0.001). Conclusions:Age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, and liver metastases, along with treatment modalities such as surgery, radiotherapy, and chemotherapy, were identified as independent prognostic factors for elderly patients with lung adenocarcinoma.The risk prediction model developed in this study effectively differentiates between patients at varying levels of risk, which holds significant implications for predicting treatment responses in elderly lung adenocarcinoma patients and advancing the practice of precision medicine.

Objective:To explore the demand and actual supply of community-based care services for the elderly residents and the factors that affecting care mode for them in the context of rapid urbanization and population aging in China.Methods:Based on the cross-sectional data of the seventh China Longitudinal Survey on Health and Longevity(CLHLS)(2018), 15 854 elderly residents aged 60 and above were selected as the research population.Logistic regression method was used to analyze the patterns of community-based care services and their influencing factors.Results:Among 15 854 elderly residents, 6 912(43.60%)were male and 8 942(56.40%)were female.The results of activities of daily living(ADL)evaluation showed that 11 109 elderly residents could take care of themselves completely, and 3 889 elderly residents were disabled.The disability rate was 25.93%.The proportion of social services that elderly town dwellers expect the community to provide is higher than those living in cities and rural areas in terms of daily care, spiritual care, providing health care knowledge, and dealing with neighborhood disputes.From the perspective of social services actually provided by the community, in addition to providing home-based care, the proportion of community services available to the elderly living in towns and rural areas are similar, but significantly lower than the proportion of social services provided for elderly city dwellers.Age, marital status, residence, cultural differences, health status, source of life and living preference had significant impacts on the choice of care demand patterns.Those of older age( OR=2.29, 95% CI: 1.04-5.03 for 70-79 years old; OR=2.94, 95% CI: 1.38-6.25 for elderly 80 years old or above), having no spouse( OR=3.50, 95% CI: 2.49-4.92), and with higher levels of disability( OR=4.24, 95% CI: 3.12-5.77 for mild disability; OR=7.54, 95% CI: 5.19-10.95 for moderate disability; OR=10.50, 95% CI: 7.59-14.53 for severe disability)are more inclined to choose socialized care. Conclusions:In the process of rapid urbanization in China, the demands for care services of elderly living in towns has increased, but the actual care services provided for them by the communities are yet to be improved.Moreover, elderly town dwellers are still inclined to family care, the same as those of elderly rural dwellers.

Objective:The Clinical Research Coordinator (CRC) is responsible for transcribing and verifying clinical trial data, and making recommendations to research institutions and sponsors on clinical trial data through analyzing and discussing data problems found in CRC work assessment, thereby improving the quality of clinical trials.Methods:Based on the ALOCA+ Principle, this study analyzed the data problems found in CRC assessment based on clinical trial quality conducted in a grade A tertiary hospital in Beijing from November 2018 to December 2021, and discussed improvement measures for clinical trial data problems.Results:Among the clinical trial data problems, data integrity is the most prominent, followed by accuracy.Conclusions:Research institutions and sponsors should improve the data management system and SOP, strengthen the training for clinical trial participants, optimize a trial plan and process design, strengthen supervision and inspection, and establish a risk-based quality control system, etc., so as to make clinical trial data conform to the international ALOCA+ principle and make clinical trial results accurate and reliable.

Objective:To analyze whether the sample of elderly subjects in clinical trials of prostate cancer drugs is representative.Methods:From the level of trial design, the age distribution of subjects in clinical trials of prostate cancer drugs for elderly patients from January 2019 to December 2021 was inquired on the platform of drug clinical trial registration and information disclosure.From the actual enrollment level, the prostate cancer drug clinical trials initiated and completed by a hospital from January 2010 to June 2022 were collected.The age information of subjects in all centers was collected for multicenter trials with a summary report, and the age data of subjects in the center was collected for trials without a summary report or single-center trials.The average age of prostate cancer onset and the incidence of prostate cancer in different age groups were compared with the Chinese Cancer Registry System, so as to compare whether the two were consistent.Results:Most of the trials(72.1%、44/61)did not set upper age limit at the protocol design level.Phase Ⅲ and phase Ⅳ trials did not set an upper age limit for enrolled subjects in the protocol.From the actual enrollment level, a total of 19 studies were included in this study, with 1 402 subjects, and the average age of subjects was 67.1±8.6 years old, which was significantly different from the average age of prostate cancer in China and Beijing(all P<0.001). The age group with the largest number of participants was 60-64 years old(34.2%、479/1 402). The population aged ≥75 years was the least(21.5%, 301/1 402), which was different from the high incidence age group of prostate cancer in China in 2017(421.77/100 000). Conclusions:Clinical trials of prostate cancer drugs are designed to cover all age groups of elderly patients, but the actual sample representation of the enrolled elderly subjects is insufficient.Under the premise of protecting the safety of subjects, the trial population who are matched for the average age of prostate cancer onset and the incidence of prostate cancer in age groups, should be gradually increased.

Objective:To analyze the time cost in the start-up stages of clinical trials and to investigate the influencing factors of the initiation efficiency.Methods:We retrospectively analyzed time-cost of the review and approval of drug clinical trials initiated in Beijing Hospital from January 2020 to June 2021.The contract signing time and trial starting time of drug clinical trials in different situations were compared.Results:The mean time to sign the contract in our hospital was 19(11~26) days, and the mean time to start experiment was 235(175~317) days. There was no significant difference in the contract signature time between clinical trials with different stages, different sponsors, different types of drugs and whether to be the leading site ( P>0.05). Compared with other phases, phase Ⅲ drug trials took the longest time to start, and the mean initiation time of clinical trials initiated by foreign pharmaceutical companies was 136 days longer than that initiated by domestic pharmaceutical companies ( P<0.05). Conclusions:Clinical trial institutions should optimize the project management process, better organize the contract review and ethics review, encourage the sponsor to use our template document. Every department may set up a GCP contact to be responsible for clinical trials; The sponsor should improve the efficiency of internal circulation and communication, submit the review materials as soon as possible according to the requirements of the institution, and establish a good communication and feedback mechanism between both sides, may shorten the start-up time of clinical trials and improve the initiation efficiency.

Objective? To explore the family function of stroke patients and their rehabilitation exercise compliance level, as well as the correlation between them. Methods? By convenience sampling, totally 400 stroke patients undergoing re-examination in Department of Neurology, a ClassⅢ Grade A hospital in Zhejiang Province from June 15th, 2018 to December 15th 2018 were selected as the research objects. General Information Questionnaire, Questionnaire of Exercise Adherence(EAQ),Family Assessment Device(FAD) were adopted in the study. A total of 400 questionnaires were distributed and 389 valid ones were collected. Results? The 389 stroke patients had a total score of (37.07±11.55) in EAQ and (115.78±32.75)in FAD. The dimensional scores in family function(except emotional intervention) were negatively correlated with the total score of rehabilitation exercise compliance (P＜ 0.05). The total score of FAD was negatively correlated with each dimensional scores of EAQ (P＜ 0.05). Multivariate linear regression analysis indicated that, problem-solving, communication, role, emotional reaction, behavior control and the overall family function were the influencing factors of the patient's exercise compliance (P＜ 0.05). Conclusions? The stroke patients' family function and rehabilitation exercise compliance have great space to improve. For those with good family function, their rehabilitation exercise compliance is also good. Improving family function, especially coming up with effective problem-solving plan, is the effective way to improve the stroke patients' rehabilitation exercise compliance.

Objective To learn the investigators′ satisfaction with CRCs and to identify the shortcomings with the CRC industry or institutional management for improvement. Methods A questionnaire survey was conducted among 120 clinical trial investigators at three tertiary general hospitals in January 2018. The questionnaire covered the basics, satisfaction with CRC, and comments of the investigator on other works of the CRC. The data acquired were subject to descriptive analysis, and the count data comparison method was Fisher precise test. Results The investigators were satisfied with CRCs in general. Specifically, their satisfaction with the " sense of responsibility" , " work hours" , and " command of GCP protocols"ranged 72.6% to 83.2% . That with " initiative" , " work stability" , and " rich clinical trial experience" fell below 60.0%. Affiliation of CRCs was correlated to "initiative"(P=0.007), and "command of clinical trial schemes and trial procedures" ( P =0.043), while investigators′ satisfaction with CRCs of uncertain affiliation fell significantly. Investigators′ experience was correlated to the " command of GCP protocols" of CRCs(P=0.035 ), as the more experienced the investigator, the less their satisfaction with the CRC. Conclusions Hospitals are expected to build a CRC standardized training system and hierarchical certification system; to standardize their CRC recruitment mechanism for overall management; to enhance their budgeting capability for sufficient CRC expenses, higher investigator efficiency and assured clinical trial quality.