SNRPB promotes the progression of hepatocellular carcinoma via regulating cell cycle, oxidative stress, and ferroptosis.

Small Nuclear Ribonucleoprotein Polypeptides B and B1 (SNRPB) have been linked to multiple human cancers. However, the mechanism of SNRPB in hepatocellular carcinoma (HCC) and whether SNRPB has a synergistic effect with sorafenib in the treatment of HCC remain unclear. In this study, bioinformatic analysis found that SNRPB was an independent prognostic factor for HCC that exerted a critical effect on the progression of HCC. SNRPB was linked with immune checkpoints, cell cycle, oxidative stress and ferroptosis in HCC. Single cell sequencing analysis found that HCC cell subset with high expression of SNRPB, accounted for a higher proportion in HCC cells with higher stages, had higher expression levels of the genes which promote cell cycle, inhibit oxidative stress and ferroptosis, and had higher cell cycle score, lower oxidative stress score and ferroptosis score. Single-sample gene set enrichment analysis (ssGSEA) analysis found that 17 oxidative stress pathways and 68 oxidative stress-ferroptosis related genes were significantly correlated with SNRPB risk scores. SNRPB knockdown induced cell cycle G2/M arrest and restrained cell proliferation, while downregulated the expression of CDK1, CDK4, and CyclinB1. The combined treatment (SNRPB knockdown+sorafenib) significantly inhibited tumor growth. In addition, the expression of SLC7A11, which is closely-related to ferroptosis, decreased significantly in vitro and in vivo. Therefore, SNRPB may promote HCC progression by regulating immune checkpoints, cell cycle, oxidative stress and ferroptosis, while its downregulation inhibits cell proliferation, which enhances the therapeutic effect of sorafenib, providing a novel basis for the development of HCC therapies.

Identifying patient perceived values during outpatient encounters: an empirical study from Chinese public hospitals.

BACKGROUND: Focusing on patients' perceived values is essential for patient-centered health care. Only by identifying the patient's preferred values can we better meet their needs and provide them with valuable medical services. This study aimed to construct and validate a research model to obtain an overall quantification of patient value during outpatient encounters. METHODS: The development of the research model was based on the reviewed literature, and an initial theoretical framework was formed by an expert panel discussion. A scale questionnaire for all the items was adapted from previous research related to patient value, verified using a presurvey, and thus used for data collection for this study. The structural equation model was used to determine and evaluate the research model of the values patients perceived during outpatient encounters. RESULTS: 572 eligible respondents who completed outpatient visits from a typical public hospital in China participated in this study from November 2020 to February 2021. We constructed the patient perceived value (PPV) model to identify core values, which includes eight dimensions and 29 items in terms of functional value (installation, efficiency, price, service quality), emotional value (interactive, control), and social value (accessibility, image) from two subgroups of patient value outside and in the outpatient visit process. Cronbach's alpha for the whole model was 0.950. The confirmatory factor analysis showed that the PPV model fits well, with a correlation of 0.83 between the two subgroups. CONCLUSION: It is essential to recognize the values based on patients' perceptions and experiences throughout the entire visit process. Our findings offer targeted insights for healthcare administrators, enabling them to holistically optimize outpatient service processes and continually enhance the quality of outpatient medical services from the patient's perspective.

The effect of using internet hospitals on the physician-patient relationship: Patient perspective.

BACKGROUND: Internet hospitals are rapidly developing in China. Despite many studies regarding internet hospitals, there has been little further research that evaluates the impact of using internet hospitals on the physician-patient relationship during outpatient visits. METHODS: We developed a questionnaire based on the patient-doctor relationship questionnaire (PDRQ-9) to survey the physician-patient relationship. A sample of 505 patients who sought medical services from offline physical or internet hospitals was selected by convenience sampling. Multiple linear regression analysis was performed to determine whether the use of internet hospitals during outpatient visits was associated with the physician-patient relationship. RESULTS: Internet hospital users gave significantly lower scores than nonusers in total physician-patient relationship scores (P =.01) and in the 5 items of "My physician helps me" (P <.001), "I trust my physician" (P =.001), "My physician understands me" (P =.002), "My physician and I agree on the nature of my medical symptoms" (P =.01), and "I can talk to (communicate with) my physician freely" (P =.005). Multiple linear regression results showed that the use of internet hospitals during outpatient visits influenced the physician-patient relationship. And after controlling for other patient characteristics, the use of internet hospitals decreased the physician-patient relationship scores by 11.9%. CONCLUSIONS: Our findings suggest that the current use of internet hospitals could not significantly enhance the physician-patient relationship during outpatient visits. Therefore, we should work on improving physicians' online communication skills and strengthening the level of trust between physicians and their patients. Policymakers should also pay close attention to the gap of the physician-patient relationship between internet hospitals and offline physical hospitals.

Developing an Integrated Evaluation Model for Physician Comprehensive Workload Tethered to Outpatient Practice: An Empirical Study From China.

Background: Previous studies, often simply using either objective workload or mental workload as a measure of physician workload in various healthcare settings might have failed to comprehensively reflect the real workload among physicians. Despite this, there is little research that further explores a comprehensive workload evaluation framework with the integration of objective workload and mental workload to describe their comprehensive workload. Methods: A comprehensive evaluation framework for physician workload was proposed based on the combination of objective workload and task-level mental workload also with the consideration of quality of provided medical services and served patient complexity; and accordingly, an integrated evaluation model for physician comprehensive workload (PCW) tethered to outpatient practice was developed and further applied to perform a PCW analysis using cross-sectional data on outpatient workload of 1,934 physicians mainly from 24 hospitals in 6 provinces in Eastern, Central, and Western China. Multiple linear regression and multinomial logistic regression analyses were established to identify significant factors influencing the PCW. Results: Overall, the average score of PCW tethered to outpatient practice Chinese physicians experienced was 811.30 (SD=494.98) with concentrating on between 200 and 1,200. Physicians who were female, from Eastern or Western China, and those who worked >60 h per week and longer outpatient hours per week were more likely to experience a higher PCW. 11.2% of participating physicians were identified as very high PCW physicians, compared with 11.6% as low PCW physicians, 45.5% as medium PCW physicians and 30.7% as high PCW physicians. Those who were female, older, from Western China, those who had lower educational levels, lower professional titles and longer working years in the current institution, and those who worked in tertiary A hospitals and Internal or Surgical, and worked >60 h per week and longer outpatient hours per week were more likely to be very high PCW physicians. Conclusions: Our work has a potential application for comprehensively assessing physician workload tethered to outpatient practice and could provide a solid foundation for hospital managers to further accurately determine and identify physicians with high workload, who would otherwise be missed in either objective workload or mental workload.

A Latent Profile Analysis of Chinese Physicians' Workload Tethered to Paperwork During Outpatient Encounters.

Background: Physician dissatisfaction with more time spent on related paperwork but less time available for direct interaction with patients is increasing internationally. Increased physician workload resulting from paperwork might negatively affect their interaction with patients and increase the risk for burnout. This study aimed to investigate the level of physician workload tethered to paperwork during outpatient encounters and explore its latent workload subgroups among Chinese physicians. Methods: A cross-sectional survey was conducted via online questionnaire primarily in 24 hospitals in 6 provinces in Eastern, Central, and Western China from November 2020 to February 2021. The Chinese physician mental workload scale developed by our research team was used for assessment of physician workload tethered to paperwork. Physicians were categorized into different subgroups of workload via latent profile analysis. Multinomial logistic regression was subsequently performed to examine how demographic variables differ among physicians belonging to different subgroups. Results: A total of 1,934 valid questionnaires were received. Chinese physicians reported medium levels of workload while performing non-physician-patient communication work tasks characterized by paperwork during outpatient encounters. Four latent workload subgroups were identified: "low workload group" (8.8%), "medium workload group" (34.0%), "high workload group" (42.1%) and "very high workload group" (15.1%). Compared with the other latent workload subgroups, physicians belonging to the "very high workload group" were more likely to be younger, married, those who had worse health status, lower educational levels and lower average monthly incomes, those who worked more years in the current institution, more hours per week and longer outpatient hours per week, and those who worked in public general hospitals, tertiary B hospitals and Obstetrics and Gynecology, and saw more than 50 outpatients per day, with more time spent on per patient. Conclusions: There exit four latent workload subgroups among Chinese physicians tethered to paperwork during outpatient encounters along with great individual variations among these subgroups. The characteristics of the latent "very high workload group" can help permit more targeted guidance for developing interventions with optimized human resource allocation to, in turn, increase the time available for direct interaction with patients, thereby resulting in improved quality of physician-patient interactions and decreased risk for physician burnout.

The Patient Safety Culture Scale for Chinese Primary Health Care Institutions: Development, Validity and Reliability.

BACKGROUND: Existing patient safety culture assessment tools are mostly developed in western countries and may not be suitable for Chinese primary health care institutions. Primary care plays an important role in China's medical system, and a targeted tool for its patient safety culture is urgently needed. OBJECTIVE: The aim of the study was to develop a dependable instrument to assess the patient safety culture in Chinese primary health care institutions. METHODS: Three phases were undertaken to develop the scale. The first phase developed a pilot scale by literature review, focus groups, and 2-round Delphi expert consultation. The second phase conducted a pilot survey. The third phase carried out a formal survey to test reliability and validity, involving 369 participants from 9 primary health care institutions. RESULTS: The final scale included 32 items under 7 dimensions. For reliability, the Cronbach α coefficients among dimensions varied from 0.754 to 0.926, and the Cronbach α for the scale was 0.940. For content validity, the corrected item-level content validity varied between 0.64 and 1, the scale-level content validity index/universal agreement was 0.625, and the scale-level content validity index/average was 0.93. For construct validity, the Spearman correlations of dimension-total score varied between 0.129 and 0.851, all Spearman correlations of the dimension-total score were greater than that of interdimensions and the Spearman correlations of item-total score ranged from 0.042 to 0.775. The results of the confirmatory factor analysis indicated that the model fitted well. CONCLUSIONS: The Patient Safety Culture Scale for Chinese primary health care institutions demonstrated good reliability and acceptable validity; thus, it can be used as an assessment instrument for patient safety culture in Chinese primary health care institutions.

Determinants of Patients' Intention to Use the Online Inquiry Services Provided by Internet Hospitals: Empirical Evidence From China.

BACKGROUND: Internet hospitals show great potential for adequately fulfilling people's demands for high-quality outpatient services, and with the normalization of the epidemic prevention and control of COVID-19, internet hospitals play an increasingly important role in delivering health services to the public. However, the factors that influence patients' intention to use the online inquiry services provided by internet hospitals remain unclear. Understanding the patients' behavioral intention is necessary to support the development of internet hospitals in China and promote patients' intention to use online inquiry services provided by internet hospitals during the prevention and control of the COVID-19 epidemic. OBJECTIVE: The purpose of this study is to identify the determinants of patients' intention to use the online inquiry services provided by internet hospitals based on the theory of planned behavior (TPB). METHODS: The hypotheses of our research model were developed based on the TPB. A questionnaire was developed through patient interviews, verified using a presurvey, and used for data collection for this study. The cluster sampling technique was used to include respondents with chronic diseases. Structural equation modeling was used to test the research hypotheses. RESULTS: A total of 638 valid responses were received from patients with chronic diseases. The goodness-of-fit indexes corroborated that the research model was a good fit for the collected data. The model explained 45.9% of the variance in attitude toward the behavior and 60.5% of the variance in behavioral intention. Perceived behavioral control and perceived severity of disease had the strongest total effects on behavioral intention (ß=.624, P=.004 and ß=.544, P=.003, respectively). Moreover, perceived convenience, perceived information risk, emotional preference, and health consciousness had indirect effects on behavioral intention, and these effects were mediated by attitude toward the behavior. Among the four constructs, perceived convenience had the highest indirect effect on behavioral intention (ß=.207; P=.001). CONCLUSIONS: Perceived behavioral control and perceived severity of disease are the most important determinants of patients' intention to use the online inquiry services provided by internet hospitals. Therefore, internet hospitals should further optimize the design of online service delivery and ensure a reasonable assembly of high-quality experts, which will benefit the promotion of patients' adoption intention toward online inquiry services for health purposes. Perceived convenience, emotional preference, and perceived risks also have effects on behavioral intention. Therefore, the relevant quality control standards and regulations for internet hospitals should be further developed and improved, and the measures to protect personal information should be strengthened to ensure the patient safety. Our study supports the use of the TPB in explaining patients' intention to use online inquiry services provided by internet hospitals.

Physician Mental Workload Scale in China: Development and Psychometric Evaluation.

OBJECTIVE: The purpose of our study is to develop a mental workload scale for physicians in China and assess the scale's reliability and validity. DESIGN: The instrument was developed over three phases involving 396 physicians from different tiers of comprehensive public hospitals in China. In the first phase, an initial item pool was developed through a systematic literature review. The second phase consisted of two rounds of Delphi expert consultations and a pilot survey. The third phase tested the reliability and validity of the instrument. SETTING: Public hospitals in China. PARTICIPANTS: A total of 396 physicians from different tiers of comprehensive public hospitals in China participated in this study in 2018. PRIMARY AND SECONDARY OUTCOME MEASURES: Cronbach's α, content validity index, item-total score correlation coefficient, dimension-total score correlation coefficient and indices of confirmatory factor analysis. RESULTS: Six dimensions (mental demands, physical demands, temporal demands, perceived risk, frustration level and performance) and 12 items were identified in the instrument. For reliability, Cronbach's α for the whole scale was 0.81. For validity, the corrected item-content validity index of each item ranged from 0.85 to 1, item-total score correlation coefficients ranged from 0.31 to 0.75, and the correlation coefficients between the dimensions and total score ranged from 0.37 to 0.72. The results of the confirmatory factor analysis showed that the goodness-of-fit indices of the scale were satisfactory. CONCLUSION: The instrument showed good reliability and validity, and it is useful for diagnosing the mental workload of physicians.

What Are the Risk Factors of Negative Patient Experience? A Cross-Sectional Study in Chinese Public Hospitals.

Hospitals are struggling to involve patients and learn from their experience. The risk factor of patient experience is increasingly recognized as a critical component in improving patient experience. Our study explored risk factors of negative patient experience in order to improve the health-service quality of public hospitals. We conducted a cross-sectional study in Hubei province, China. A total of 583 respondents were surveyed by the Outpatient Experience Questionnaire with good validity and reliability in July 2015. T-tests were conducted to compare the experience scores among different outpatient groups. Multiple linear regression was performed to determine the significant factors that influenced the outpatient experience. Outpatients between 18 and 44 years old had the lowest experience scores (65.89 ± 0.79), whereas outpatients completely paying out-of-pocket had the lowest experience scores (64.68 ± 0.81) among all participants. Outpatients with poor self-rated health status had the lowest experience scores (66.14 ± 1.61) among different self-rated health status groups. While age, type of payment, and self-rated health status were significantly risk factors that influenced outpatient experience in the multiple linear regression. Thus, health-care providers should pay more attention to outpatients who are young (age <45), completely out-of-pocket and poor health status, and provide precision health care to improve outpatient experience.

The Use of Mobile Health Applications to Improve Patient Experience: Cross-Sectional Study in Chinese Public Hospitals.

BACKGROUND: The proliferation of mobile health apps has greatly changed the way society accesses the health care industry. However, despite the widespread use of mobile health apps by patients in China, there has been little research that evaluates the effect of mobile health apps on patient experience during hospital visits. OBJECTIVE: The purpose of our study was to examine whether the use of mobile health apps improves patient experience and to find out the difference in patient experience between users and nonusers and the characteristics associated with the users of these apps. METHODS: We used the Chinese Outpatient Experience Questionnaire to survey patient experience. A sample of 300 outpatients was randomly selected from 3 comprehensive public hospitals (3 tertiary hospitals) in Hubei province, China. Each hospital randomly selected 50 respondents from mobile health app users and 50 from nonusers. A chi-square test was employed to compare the different categorical characteristics between mobile health app users and nonusers. A t test was used to test the significance in continuous variables between user scores and nonuser scores. Multiple linear regression was conducted to determine whether the use of mobile health apps during hospital visits was associated with patient experience. RESULTS: The users and nonusers differed in age (χ22=12.2, P=.002), education (χ23=9.3, P=.03), living place (χ21=7.7, P=.006), and the need for specialists (χ24=11.0, P=.03). Compared with nonusers, mobile health app users in China were younger, better educated, living in urban areas, and had higher demands for specialists. In addition, mobile health app users gave significantly higher scores than nonusers in total patient experience scores (t298=3.919, P<.001), the 18 items and the 5 dimensions of physician-patient communication (t298=2.93, P=.004), health information (t298=3.556, P<.001), medical service fees (t298=3.991, P<.001), short-term outcome (t298=4.533, P<.001), and general satisfaction (t298=4.304, P<.001). Multiple linear regression results showed that the use of mobile health apps during hospital visits influenced patient experience (t289=3.143, P=.002). After controlling for other factors, it was shown that the use of mobile health apps increased the outpatient experience scores by 17.7%. Additional results from the study found that the self-rated health status (t289=3.746, P<.001) and monthly income of patients (t289=2.416, P=.02) influenced the patient experience as well. CONCLUSIONS: The use of mobile health apps could improve patient experience, especially with regard to accessing health information, making physician-patient communication more convenient, ensuring transparency in medical charge, and ameliorating short-term outcomes. All of these may contribute to positive health outcomes. Therefore, we should encourage the adoption of mobile health apps in health care settings so as to improve patient experience.