OBJECTIVE To systematically sort out the drugs causing drug-induced liver injury （DILI） and their relevant information， and to develop the Expert consensus on the medication catalog for drug-induced liver injury and rational drug use （hereinafter referred to as the Consensus）， so as to provide a reference for rational clinical use. METHODS Systematic searches were conducted across various literature databases， guideline retrieval websites and professional liver injury websites. Drugs identified as causing DILI from the included literature and online resources were extracted and assigned scores based on source credibility： three points for LiverTox A-class drugs and two points for B-class drugs； two points for drugs from Hepatox and guidelines； and one point for drugs from consensus and related literature sources. Drugs classified as LiverTox category A/B or with total scores ≥4 were included in the preliminary list of DILI-causing drugs. Opinions were collected and integrated from a multidisciplinary expert panel comprising 45 medical and pharmaceutical experts from 27 provinces across China through three rounds of the Delphi method （including questionnaires and discussion sessions）， and after revision， the final version of Consensus was formed. RESULTS & CONCLUSIONS This Consensus included 12 traditional Chinese medicines （TCMs） such as Polygoni Multiflori Radix and Ephedrae Herba， 151 Western medicines including amiodarone and atorvastatin， along with rational use information. For TCM， eight rational use information were included： evidence-based score， liver injury classification based on pathogenesis， liver injury classification based on biochemical abnormality pattern， clinical phenotype， laboratory examination manifestations， latency period， recovery time， and management strategies. For Western medicines， six additional items were included based on the TCM， namely liver function monitoring， discontinuation， contraindications， cautions， dose adjustments， and risk factors， totaling 14 items. This Consensus systematically compiles DILI drugs and their rational use information， which will support clinicians in enhancing the prevention， identification， and management of DILI， reducing the incidence of liver injury， and ensuring patient medication safety and efficacy.

OBJECTIVE To evaluate the cost-effectiveness of anlotinib combined with penpulimab versus sorafenib as first- line treatment for unresectable hepatocellular carcinoma （uHCC） from the perspective of China’s healthcare system. METHODS Based on data from the APOLLO study， a partitioned survival model was established with a 21-day model cycle to simulate patient survival status over 10 years under anlotinib combined with penpulimab regimen or sorafenib monotherapy. Quality-adjusted life year （QALY） was used as the core evaluation parameter to assess the incremental cost-effectiveness ratio （ICER） of different treatment regimens. Using 3 times China’s per capita gross domestic product （GDP） in 2024 （287 247 yuan/QALY） as the willingness-to-pay （WTP） threshold， cost-utility analysis was performed to evaluate the cost-effectiveness of the treatment regimens. Sensitivity analysis was conducted to validate the robustness of the baseline analysis conclusion. Scenario analysis was performed to consider the impact of anlotinib and penpulimab assistance programs on the results； the price reduction of penpulimab to ensure the cost-effectiveness of the combination regimen was examined under varying WTP thresholds （specifically， 1， 2， and 3 times China’s per capita GDP in 2024）. RESULTS The baseline analysis revealed that the ICER of anlotinib combined with penpulimab regimen relative to the sorafenib regimen was 338 611.20 yuan/QALY， which exceeded the WTP threshold set in this study. Univariate sensitivity analysis indicated that the utility value of progression free survival and penpulimab price significantly influenced the baseline analysis results. Probabilistic sensitivity analysis validated the robustness of the baseline results. The results of scenario analysis indicated that when considering the assistance programs for anlotinib and penpulimab， the obtained ICER values were all below the WTP threshold set at 3 times China’s per capita GDP in 2024. When the price of penpulimab was reduced by 58%， 35%， and 13%， the ICER values were below the WTP threshold， which was 1， 2 and 3 times the per capita GDP of China in 2024， respectively. CONCLUSIONS From the perspective of China’s healthcare system， anlotinib combined with penpulimab regimen for first-line treatment of uHCC lacks cost-effectiveness compared to sorafenib regimen. However， this conclusion would be reversed if the anlotinib and penpulimab assistance programs are taken into account or if the price of penpulimab is reduced by more than 13% and above.

OBJECTIVE To evaluate the efficacy， safety and economics of calcium channel modulators in the treatment of diabetic peripheral neuropathic pain （DPNP）， and provide evidence-based evidence for clinical drug selection and decision-making. METHODS PubMed， Embase， Cochrane Library， CNKI， Wanfang data， VIP net， CBM and official websites of foreign health technology assessment （HTA） institutions were systematically searched to collect HTA reports， systematic review/meta-analyses， and pharmacoeconomic studies of pregabalin， gabapentin， crisugabalin， and mirogabalin for the treatment of DPNP. The timeframe for all searches was from the inception to June 2024. After data extraction and quality assessment， the results of the included studies were analyzed descriptively. RESULTS A total of 16 articles were included， involving 1 HTA report， 7 systematic reviews/meta- analyses， and 8 pharmacoeconomic studies. No studies on crisugabalin were retrieved. Compared with placebo， both pregabalin and mirogabalin reduced end point pain scores and increased the proportion of patients with ≥30% and/or ≥50% reduction in pain scores. Pregabalin also improved patient global impression of change （PGIC）. Gabapentin was similar to placebo in reducing end point pain scores and increasing the proportion of patients with ≥30% and/or ≥50% reduction in pain scores， but gabapentin improved PGIC of patients. Compared with pregabalin， mirogabalin was more effective in the treatment of pain. The safety of pregabalin and mirogabalin was similar， and compared with placebo， both pregabalin and mirogabalin increased the risk of common adverse reactions such as dizziness and somnolence. The safety of gabapentin was similar to placebo and duloxetine. Compared with duloxetine， pregabalin and gabapentin were not cost-effective. Compared with gabapentin， pregabalin was cost-effective. Mirogabalin was cost-effective， as compared with placebo and pregabalin. CONCLUSIONS Pregabalin and mirogabalin are effective in the treatment of DPNP， the efficacy of mirogabalin is better than pregabalin， and the safety is similar between them. The economic conclusions vary from country to country， pending a pharmacoeconomic study based on our population.

OBJECTIVE To provide guidance for the scientific and standardized application of artificial intelligence （AI） technology in supporting pharmaceutical care services， and to promote the high-quality development of pharmaceutical care. METHODS Using keywords such as “artificial intelligence” and “pharmaceutical care”， a comprehensive search was conducted across domestic and international databases and relevant policy documents. Drawing upon practical experience in AI-assisted pharmaceutical care services in China， a consensus framework and preliminary recommendations were drafted. Consensus was defined as agreement by 70% or more of expert panel members. RESULTS & CONCLUSIONS Through two rounds of the Delphi method and multiple rounds of discussions， 23 strong recommendations （approval rate ＞90%） were formulated. These address the definition， scope， objectives， multiple application scenarios （including pharmaceutical outpatient， medication reconciliation， medication education， adverse drug event prediction and monitoring， home-based pharmaceutical care services， and drug supply）， ethical considerations and accountability， challenges encountered， and quality control recommendations for AI-assisted pharmaceutical care. Intended for use by professional technical staff engaged in pharmaceutical care， managers， and AI technology developers within healthcare institutions， these recommendations provide guidance for the practice of pharmaceutical care in the era of AI.

BACKGROUND

Community Health Workers (CHWs) play a vital role in addressing community healthcare needs, yet little is known about their psychosocial status and job satisfaction. This study aimed to describe the psychosocial status and job satisfaction of CHWs, and examine the factors associated with their job satisfaction.

A cross-sectional study was conducted among 440 CHWs aged 25-60 years working in urban and rural areas of Batangas, Philippines. Linear regression models were used to examine the association between psychosocial factors and job satisfaction. Other factors associated with job satisfaction were also examined.

Despite 90.0% of CHWs reporting high perceived stress and 52.1% experiencing high depressive symptoms, they demonstrated relatively high job satisfaction (mean [standard deviation]= 80.05 [17.56]; range= 0-100) and high perceived social support (mean [standard deviation]= 25.09 [2.93]; range= 10-30). Among psychosocial factors, only perceived social support was associated with job satisfaction (unstandardized beta [B] 0.93; 95% confidence interval [CI] 0.44, 1.41). Other factors associated with job satisfaction include fixed working hours (B 4.71; 95% CI 0.49, 8.94), work amenities (B 7.37; 95% Cl 0.03, 14.72), ≥21 years of work experience (B 5.64; 95% CI 0.35, 10.93), and working in rural areas (B 5.88; 95% CI 2.77, 8.99).

Psychological factors such as perceived stress and depressive symptoms were not found to be associated with job satisfaction among CHWs. However, factors such as greater perceived social support, fixed working hours, work amenities, longer work experience, and working in rural areas were identified as contributors to higher levels of job satisfaction among CHWs.

OBJECTIVE To evaluate the cost-effectiveness of capecitabine metronomic chemotherapy combined with aromatase inhibitor （AI） versus AI monotherapy as first-line treatment for hormone receptor-positive （HR+）/human epidermal growth factor receptor 2-negative （HER2－） metastatic breast cancer， thereby providing evidence-based support for clinical therapeutic decision- making and healthcare policy formulation. METHODS Based on the MECCA trial， a partitioned survival model was constructed using a 4-week cycle length to simulate outcomes over patients’ lifetime. The model outputs included total costs， quality-adjusted life year （QALY）， and incremental cost-effectiveness ratio （ICER）. Sensitivity analyses were performed to validate the robustness of base-case results， while scenario analyses examined the cost-effectiveness of both treatment strategies under 10-year， 20-year， and lifetime time horizons. RESULTS With the willingness-to-pay （WTP） threshold set at 1 times China’s 2024 per capita gross domestic product （GDP） （95 749 yuan/QALY）， patients receiving capecitabine metronomic chemotherapy combined with AI regimen gained incremental utility （0.66 QALYs） while incurring higher costs， with ICER of 27 684.85 yuan/QALY. Results of the one-way sensitivity analysis showed that factors with significant impacts on ICER included the cost discount rate， drug costs of the capecitabine metronomic chemotherapy combined with AI group， utility value in the progression-free survival state， follow-up costs， and treatment costs in the subsequent stablephase. Probabilistic sensitivity analysis indicated that when the WTP threshold ≥49 250 yuan/QALY， the capecitabine metronomic chemotherapy combined with AI regimen had a 100% probability of being cost-effective. Scenario analysis results demonstrated that capecitabine metronomic chemotherapy combined with AI regimen was more cost-effective than the AI alone regimen across 10-year， 20-year， and lifetime study horizons. CONCLUSIONS Under the premise that the WTP threshold is set at 1 times China’s per capita GDP in 2024， capecitabine metronomic chemotherapy combined with AI regimen is more cost-effective than the AI alone regimen as the first-line treatment for HR+/HER2－ metastatic breast cancer.

OBJECTIVE To evaluate the cost-effectiveness of sacituzumab tirumotecan （ST） versus chemotherapy treatment physician’s choice （TPC） as second-line and later-line treatment for metastatic triple-negative breast cancer （mTNBC） from the perspective of China’s healthcare system. METHODS A partitioned survival model was constructed based on the OptiTROP-Breast 01 trial， with a cycle length of 4 weeks and a time horizon of 10 years， applying a 5% discount rate. Quality adjusted life year （QALY） and costs were used as outcome measures， and the incremental cost-effectiveness ratio （ICER） of ST versus TPC for second-line and later-line treatment of mTNBC was calculated. Sensitivity analyses were conducted to validate the robustness of the base-case results. RESULTS At a willingness-to-pay threshold （WTP） of 3 times China’s 2024 per capita gross domestic product （GDP） （287 247 yuan/QALY）， patients receiving ST gained incremental utility （0.42 QALY） at a higher cost， yielding an ICER of 205 562.07 yuan/QALY， which was lower than WTP， indicating that ST was more cost-effective compared to TPC. One-way sensitivity analysis revealed that key factors influencing the ICER included the utility value of progression-free survival and the price of ST. Probabilistic sensitivity analysis and scenario analysis showed that the base-case results were robust. CONCLUSIONS From the perspective of China’s healthcare system， at a WTP of 3 times China’s per capita GDP， ST is more cost-effective than TPC as second-line and later-line treatment for mTNBC.

OBJECTIVE To assess the long-term cost-effectiveness of five glucagon-like peptide-1 receptor agonists （GLP- 1RAs） in the treatment of poorly controlled type 2 diabetes mellitus （T2DM） treated with metformin. METHODS Baseline data from patients in previously published meta-analysis and included randomized controlled trials （RCTs） were extracted to predict survival， long-term efficacy， and costs for each group using the United Kingdom prospective diabetes study outcome model 2.1. The cost-effectiveness of 5 GLP-1RAs （liraglutide， lixisenatide， exenatide， dulaglutide， and semaglutide） was analyzed by cost- utility analysis. Sensitivity analysis and scenario analysis were also performed to verify the uncertainty of basic analysis results. RESULTS A total of 21 RCTs with 6 796 patients were included. Survival analysis curves showed the superiority of semaglutide in reducing the risk of death from cardiovascular disease and dulaglutide in reducing the risk of all-cause mortality over other GLP- 1RAs. The cost-utility analysis showed that the five drugs were economically superior to inferior in the order of lixisenatide， semaglutide， exenatide， dulaglutide， and liraglutide； one-way and probabilistic sensitivity analyses indicated that the results were robust. The scenario analysis results indicated that the price of semaglutide should decrease by at least 54.64% to 369.21 yuan， which is cost-effectiveness compared to lixisenatide. CONCLUSIONS For T2DM patients in China with poor glycemic control after treatment with metformin， lixisenatide and semaglutide may be considered as the preferred regimen.

OBJECTIVE To improve the diagnosis and treatment level of critically ill infectious diseases， standardize the clinical application of nanopore sequencing and promote the sound development of the technology. METHODS Division of Therapeutic Drug Monitoring of Chinese Pharmacological Society and Expert Committee of Precision Medicine for Clinical Treatment of Guangdong Pharmaceutical Association initiated and organized multidisciplinary experts to discuss and determine the consensus writing outline by using the nominal group method， forming a preliminary consensus draft； expert consultation was performed by using Delphi method， and then experts’ opinions were analyzed and revised to form consensus. RESULTS & CONCLUSIONS Consensuses of Experts on the Application of Nanopore Sequencing Technology in the Detection of Pathogenic Microorganisms covers targeted sequencing， metagenomic sequencing and whole genome sequencing， and is standardized in terms of sample collection and storage， detection process， bioinformatics analysis and report interpretation； the recommendations are provided for the key issues.

OBJECTIVE To evaluate the cost-effectiveness of tislelizumab combined with chemotherapy as first-line treatment for locally advanced unresectable or metastatic gastric or gastroesophageal junction adenocarcinoma. METHODS The data of RATIONALE-305 study and related literature were used to establish a partitioned survival model from the perspective of China’s health system. The cycle was 3 weeks， the simulation time was set as 10 years， and the discount rate was 5%. The quality-adjusted life years （QALYs） were used as the health outcome indicator to evaluate the cost-effectiveness of tislelizumab combined with chemotherapy versus placebo combined with chemotherapy as first-line treatment for locally advanced unresectable or metastatic gastric or gastroesophageal junction adenocarcinoma， and one-way sensitivity analysis and probabilistic sensitivity analysis were also conducted. RESULTS The base analysis showed that the patients received more 0.268 QALYs with tislelizumab plus chemotherapy， compared with placebo plus chemotherapy， but the cost increased by 70 404.81 yuan with an incremental cost- effectiveness ratio （ICER） of 262 431.62 yuan/QALY， which was less than three times China’s gross domestic product （GDP） per capita in 2023 as the willingness-to-pay （WTP） threshold （268 074 yuan/QALY）. One-way sensitivity analysis showed that the efficacy value of progress free survive and the price of tislelizumab had a greater impact on the ICER value. The results of probability sensitivity analysis showed that when the WTP threshold was 3 times China’s GDP per capita in 2023， the probability of tislelizumab being cost-effective was 53.3%. CONCLUSIONS When the WTP threshold is 3 times China’s GDP per capita in 2023， tislelizumab plus chemotherapy is cost-effective for first-line treatment of locally advanced unresectable or metastatic gastric or gastroesophageal junction adenocarcinoma， compared with placebo plus chemotherapy.