Table_1_Association between lifestyle behaviors and health-related quality of life among primary health care physicians in China: A cross-sectional study.DOCX

BackgroundPrimary health care (PHC) serves as the gatekeeper of health system and PHC physicians take on significant obligations to provide health care services in the pursuit of Universal Health Coverage (UHC). PHC physicians' health-related quality of life (HRQoL) can have a strong impact on patients, physicians and the health care system. Lifestyle interventions are found to be effective to improve HRQoL. The purpose of this study was to evaluate the association between lifestyle behaviors and HRQoL among PHC physicians, so that lifestyle intervention can be tailored by policy makers for health promotion.MethodsA survey covering 31 provinces and administrative regions in China was conducted in 2020 using a stratified sampling strategy. Data on sociodemographic characteristics lifestyle behaviors and HRQoL were collected by a self-administered questionnaire. HRQoL was measured through EuroQol-five dimension-five level (EQ-5D-5L) instrument. A Tobit regression model was performed to evaluate the association between sociodemographic characteristics, lifestyle behaviors and HRQoL.ResultsAmong 894 PHC physicians who completed the survey, Anxiety/Depression (AD) was the dimension with the most problems reported (18.1%). Regular daily routine (β = 0.025, 95%CI 0.004 to 0.045) and good sleep quality (β = 0.049, 95% CI = 0.029 to 0.069) were protective factors for HRQoL, while smoking (β = −0.027, 95% CI = −0.079 to −0.003) and frequency of eating breakfast (β = −0.041, 95%CI = −0.079 to −0.003) were negatively associated with HRQoL. Physical activity and alcohol drinking were not significantly associated with HRQoL.ConclusionThese findings suggest that tailored interventions on daily routine, improving sleep quality, and tobacco control among PHC physicians may be effective strategies to improve their HRQoL.</p

Data_Sheet_2_Association of the barriers of pharmaceutical care perceived by clinical pharmacists and occupational stress in tertiary hospitals of China.docx

ObjectiveAs an important member of the healthcare team, clinical pharmacists’ occupational stress will lead to a decline in the quality of pharmaceutical care. According to person-environment fit theory, barriers of pharmaceutical care perceived by clinical pharmacists may be a potential factor influencing occupational stress. This study aimed to assess the association between the specific barriers of pharmaceutical care perceived by clinical pharmacists and their occupational stress in China.MethodA field-based questionnaire survey of tertiary hospitals was conducted in 31 provincial administrative regions in mainland China using a multi-stage stratified sampling method. Data on occupational stress, barriers of pharmaceutical care perceived by clinical pharmacists and other factors of job stress were collected using the Brief Job Stress Questionnaire and a self-administered instrument. The instruments have undergone multiple rounds of pilot investigations, and their reliability is acceptable. Ordinary least squares regression was used to evaluate the association of the perceived barriers and other factors with their occupational stress.ResultA total of 625 clinical pharmacists from 311 tertiary hospitals in China (response rate = 84%) participated. Perceived resource dimension barriers (p = 0.00) and self-improvement dimension barriers (p = 0.01) were associated with increased occupational stress of the participants. In addition, clinical pharmacists with senior professional titles and engaged in neurology and ICU have higher occupational stress.ConclusionBy removing barriers to pharmacists’ resources and self-improvement, it is possible to better meet the work needs of clinical pharmacists and may effectively reduce occupational stress, thereby improving the quality of pharmaceutical services.</p

Data_Sheet_1_Association of the barriers of pharmaceutical care perceived by clinical pharmacists and occupational stress in tertiary hospitals of China.docx

ObjectiveAs an important member of the healthcare team, clinical pharmacists’ occupational stress will lead to a decline in the quality of pharmaceutical care. According to person-environment fit theory, barriers of pharmaceutical care perceived by clinical pharmacists may be a potential factor influencing occupational stress. This study aimed to assess the association between the specific barriers of pharmaceutical care perceived by clinical pharmacists and their occupational stress in China.MethodA field-based questionnaire survey of tertiary hospitals was conducted in 31 provincial administrative regions in mainland China using a multi-stage stratified sampling method. Data on occupational stress, barriers of pharmaceutical care perceived by clinical pharmacists and other factors of job stress were collected using the Brief Job Stress Questionnaire and a self-administered instrument. The instruments have undergone multiple rounds of pilot investigations, and their reliability is acceptable. Ordinary least squares regression was used to evaluate the association of the perceived barriers and other factors with their occupational stress.ResultA total of 625 clinical pharmacists from 311 tertiary hospitals in China (response rate = 84%) participated. Perceived resource dimension barriers (p = 0.00) and self-improvement dimension barriers (p = 0.01) were associated with increased occupational stress of the participants. In addition, clinical pharmacists with senior professional titles and engaged in neurology and ICU have higher occupational stress.ConclusionBy removing barriers to pharmacists’ resources and self-improvement, it is possible to better meet the work needs of clinical pharmacists and may effectively reduce occupational stress, thereby improving the quality of pharmaceutical services.</p

Additional file 1 of Exploring the training of chinese medical staff oriented to the need for clinical drug information services: from the perspective of drug information patients obtained and need

Supplementary Material

Table1_Factors influencing clinical pharmacists’ integration into the clinical multidisciplinary care team.docx

Objectives: To investigate the factors influencing clinical pharmacists’ integration into the clinical multidisciplinary care team, using interprofessional collaboration between clinical pharmacists and physicians as the focus.Methods: Through stratified random sampling, a cross-sectional questionnaire survey was conducted among clinical pharmacists and physicians in secondary and tertiary hospitals in China from July to August 2022. The questionnaire, comprising the Physician–Pharmacist Collaborative Index (PPCI) scale to reflect the collaboration level and a combined scale to measure influencing factors, was made available in two versions for clinical pharmacists and physicians. Multiple linear regression was adopted to analyze the association between the collaboration level and influencing factors, as well as the heterogeneity of the significant factors in hospitals of different grades.Results: Valid self-reported data from 474 clinical pharmacists and 496 paired physicians were included, who were serving in 281 hospitals from 31 provinces. In terms of participant-related factors, standardized training and academic degree, respectively, exerted significant positive effects on the perceived collaboration level by clinical pharmacists and physicians. In terms of context characteristics, manager support and system construction were the main factors for improving collaboration. In terms of exchange characteristics, clinical pharmacists having good communication skills, physicians trusting others’ professional competence and values, and both parties having consistent expectations had significant positive effects on collaboration.Conclusion: The study provides a baseline data set on the current level and associated factors of clinical pharmacists’ collaboration with other professionals in China and other countries with a related health system, providing references for individuals, universities, hospitals, and national policymakers to facilitate the development of clinical pharmacy and multidisciplinary models and further improve the patient-centered integrated disease treatment system.</p

Additional file 1 of The influence of non-clinical pharmacists’ understanding of and attitudes towards pharmaceutical care on their willingness to serve as clinical pharmacists in China

Additional file 1

Table1_Development and validation of pharmaceutical care barriers scale in Chinese hospitals: a cross-sectional survey.docx

Introduction: Chinese hospitals still face various barriers to implementing pharmaceutical care. The quantitative instrument for measuring these barriers in China is scarce. This study aims to develop and validate a scale for measuring barriers to providing pharmaceutical care in Chinese hospitals from the perspective of clinical pharmacists.Methods: The scale was developed based on existing literature and qualitative interviews with 20 experts. The scale was included in a small-range pilot survey and then administered to a validation survey in 31 provinces in China. Exploratory factor analysis was used to identify the structure of the scale. Confirmatory factor analysis was applied to verify the structure of the scale and to validate the scale’s convergent and discriminative validity. Known-group validity was also examined. Cronbach’s alpha examined the internal consistency reliability of the scale.Results: 292 scales were completed and returned for a response rate of 85.6% in the pilot study. Exploratory factor analysis of the scale suggested a five-factor solution (Cognition and attitude, Knowledge and skills, Objective conditions, External cooperation, and Support from managers) accounting for 66.03% of the total variance. 443 scales were sent out in the validation study, with a response rate of 81.0%. Confirmatory factor analysis demonstrated a good fit of the structural model for pharmaceutical care barriers. It showed the scale’s good convergent and discriminative validity (The average variance extracted >0.5 and composite reliability >0.7). The scale could also identify the differences in total score among the clinical pharmacists from different hospital grades (p Conclusion: From the perspective of clinical pharmacists, this study has developed a scale to assess obstacles to pharmaceutical care. The scale comprehensively encompasses barriers to clinical pharmacists’ cognitive and ability-related aspects, hindrances encountered in collaborating with other health professionals and patients, and barriers to the working environment. The reliability and validity have been established through verification.</p

Additional file 1 of Exploring the training of pharmacists oriented to the demands for clinical pharmacy services: from the perspective of physicians

Supplementary Material

Additional file 1 of Association of education background with clinical pharmacists’ clinical pharmacy workload in tertiary hospitals of China

Additional file 1: Appendix 1. Questionnaire for education background and workload of clinical pharmacists (English version)

Development of Machine Learning Models for Ion-Selective Electrode Cation Sensor Design

Polyvinyl chloride (PVC) membrane-based ion-selective electrode (ISE) sensors are common tools for water assessments, but their development relies on time-consuming and costly experimental investigations. To address this challenge, this study combines machine learning (ML), Morgan fingerprint, and Bayesian optimization technologies with experimental results to develop high-performance PVC-based ISE cation sensors. By using 1745 data sets collected from 20 years of literature, appropriate ML models are trained to enable accurate prediction and a deep understanding of the relationship between ISE components and sensor performance (R2 = 0.75). Rapid ionophore screening is achieved using the Morgan fingerprint based on atomic groups derived from ML model interpretation. Bayesian optimization is then applied to identify optimal combinations of ISE materials with the potential to deliver desirable ISE sensor performance. Na+, Mg2+, and Al3+ sensors fabricated from Bayesian optimization results exhibit excellent Nernst slopes with less than 8.2% deviation from the ideal value and superb detection limits at 10–7 M level based on experimental validation results. This approach can potentially transform sensor development into a more time-efficient, cost-effective, and rational design process, guided by ML-based techniques