Yuyin Xiao

All Publications

• Empowering new mothers in China: role of paediatric care in screening and management of postpartum depression BMJ-BRITISH MEDICAL JOURNAL Zhang, Y., Wang, H., Wu, S., Xiao, Y., Jiang, F. 2024; 386: e078636

  View details for DOI 10.1136/bmj-2023-078636

  View details for Web of Science ID 001308521100012

  View details for PubMedID 39214561

• What has the appraisal for hospitals brought to job satisfaction of healthcare professionals? A cross-sectional survey in China BMJ OPEN Li, X., Lu, M., Shi, C., Song, K., Xiao, Y., Bian, D., Xu, S., Li, G. 2024; 14 (8)

  View details for DOI 10.1136/bmjopen-2023-079285

  View details for Web of Science ID 001317590600001

  View details for PubMedID 39209786

• Measuring and improving performance of clinicians: an application of patient-based records. BMC health services research Dong, M., Xiao, Y., Shi, C., Li, G. 2023; 23 (1): 775

  Abstract

  Efforts to measure performance and identify its driving factors among clinicians are needed for building a high-quality clinician workforce. The availability of data is the most challenging thing. This paper presented a summary performance measure for clinicians and its application on examining factors that influence performance using routine patient-based records.Perfomance indicators and difficulty score were extracted from electronic medical records (EMRs). Difficulty adjustment and standardized processing were used to obtain indicators which were comparable between specialties. Principal component analysis (PCA) was used to estimate the summary performance measure. The performance measure was then used to examine the influence of person-job fit and burnout through a mediator effect model and cluster analysis.A valid sample of 404 clinicians were included in this study, and 244 of them had valid response in the questionnaire. PCA explained 79.37% of the total variance presented by the four adjusted performance indicators. Non-performance attributes and performance driving factors help distinguish different clusters of clinicians. Burnout mediates the relationship between person-job fit and performance in a specific group of clinicians (β = 0.120, p = 0.008).We demonstrated the analytical steps to estimate clinicians' performance and its practical application using EMRs. Our findings provide insight into personnel classified management. Such practice can be applied in countries where electronic medical record systems are relatively less developed to continuously improve the application of performance management.

  View details for DOI 10.1186/s12913-023-09772-2

  View details for PubMedID 37468896

  View details for PubMedCentralID PMC10357785

• Determinants Influencing the Adoption of Internet Health Care Technology Among Chinese Health Care Professionals: Extension of the Value-Based Adoption Model With Burnout Theory. Journal of medical Internet research Bian, D., Xiao, Y., Song, K., Dong, M., Li, L., Millar, R., Shi, C., Li, G. 2023; 25: e37671

  Abstract

  The global COVID-19 pandemic has been widely regarded as a catalyst for adopting internet health care technology (IHT) in China. IHT consists of new health care technologies that are shaping health services and medical consultations. Health care professionals play a substantial role in the adoption of any IHT, but the consequences of doing so can often be challenging, particularly when employee burnout is prevalent. Few studies have explored whether employee burnout influences the adoption intention of IHT in health care professionals.This study aims to explain the determinants influencing the adoption of IHT from the perspective of health care professionals. To do so, the study extends the value-based adoption model (VAM) with consideration for employee burnout as a determining factor.A cross-sectional web-based survey using a sample of 12,031 health care professionals selected through multistage cluster sampling from 3 provinces in mainland China was conducted. The hypotheses of our research model were developed based on the VAM and employee burnout theory. Structural equation modeling was then used to test the research hypotheses.The results indicate that perceived usefulness, perceived enjoyment, and perceived complexity positively correlate with perceived value (β=.131, P=.01; β=.638, P<.001; β=.198, P<.001, respectively). Perceived value had a positive direct effect on adoption intention (β=.725, P<.001), perceived risk negatively correlated with perceived value (β=-.083, P<.001), and perceived value negatively correlated with employee burnout (β=-.308, P<.001). In addition, employee burnout was negatively related to adoption intention (β=-.170, P<.001) and mediated the relationship between perceived value and adoption intention (β=.052, P<.001).Perceived value, perceived enjoyment, and employee burnout were the most important determinants of IHT adoption intention by health care professionals. In addition, while employee burnout was negatively related to adoption intention, perceived value inhibited employee burnout. Therefore, this study finds that it is necessary to develop strategies to improve the perceived value and reduce employee burnout, which will benefit the promotion of the adoption intention of IHT in health care professionals. This study supports the use of the VAM and employee burnout in explaining health care professionals' adoption intention regarding IHT.

  View details for DOI 10.2196/37671

  View details for PubMedID 36897630

  View details for PubMedCentralID PMC10039406

• Development and validity of computerized neuropsychological assessment devices for screening mild cognitive impairment: Ensemble of models with feature space heterogeneity and retrieval practice effect. Journal of biomedical informatics Xiao, Y., Jia, Z., Dong, M., Song, K., Li, X., Bian, D., Li, Y., Jiang, N., Shi, C., Li, G. 2022; 131: 104108

  Abstract

  This study aimed to develop and validate computerized neuropsychological assessment devices for screening patients with mild cognitive impairment (MCI).We conducted this study in three phases. Phase I involved the development of a conceptual framework of Memory Guard (MG) based on the principles of the cognitive design system (CDS). Phase II involved three steps of feature engineering: item development, filter, and wrapper. Based on the initial items, the number of items in each dimension was determined through analytic hierarchy process. We constructed an initial set with a total of 198 items with three levels of difficulty. Next, we performed feature selection through comprehensive reliability and validity tests, which resulted in the best item bank of 38 test items. The features for modeling were obtained from the best item bank (option scores, reading time scores and total time scores), demographic variables and their MoCA groups. Regarding the heterogeneity of the feature space, we combined the AdaBoost with the Naive Bayes classification algorithm as the decision model of MG. For the screening tool to be used repeatedly, the retrieval practice effect was considered in the design. Phase III involved the validation of measuring instruments. The features incorporated into the modeling process were optimized based on the classification accuracy and area under curve. We also verified the classification effect of the other three classification models with MG.After three steps of feature engineering, a total of 6 dimensions of cognitive areas were included in MG: orientation, memory, attention, calculation, recall, and language & executive function. 38 features were included in the model (17 features of option score, 20 features of time score, and 1 demographic feature). A total of 333 individuals from two communities in Shanghai and Henan province were included in the measuring instrument verification process. Women accounted for 68.2% of the sample. The median age was 63. 15.3% of the participants had bachelor's degrees or above and 111 participants lived in urban areas (33.3%). The results showed that MG had an accuracy of 93.75% and AUC of 0.923, with a sensitivity of 91.67% and a specificity of 95.45%. Compared to the other three classification models, MG that combined the AdaBoost with the Naive Bayes classification algorithm was the most accurate classifier.MG was proved to be reliable and valid in early screening for patients with MCI. MG that integrated heterogeneous features such as demography, option scores, and time scores had a better predictive performance for screening MCI.

  View details for DOI 10.1016/j.jbi.2022.104108

  View details for PubMedID 35660522

• Impact of the COVID-19 Pandemic on Chronic Disease Care in India, China, Hong Kong, Korea, and Vietnam. Asia-Pacific journal of public health Singh, K., Xin, Y., Xiao, Y., Quan, J., Kim, D., Nguyen, T., Kondal, D., Yan, X., Li, G., Ng, C. S., Kang, H., Minh Nam, H., Mohan, S., Yan, L. L., Shi, C., Chen, J., Thi Hong Hanh, H., Mohan, V., Kong, S., Eggleston, K., Research Group on COVID-19 and Chronic disease care in Asia, Prabhakaran, D., Tandon, N., Narayan, K. V., Ali, M. K., Ranjit Mohan, A., Mohan, D., Jagannathan, S., Venkateshmurthy, N. S., Jarhyan, P., Gong, E., Xiong, S., Chen, X., Ostbye, T., Duman, E. K., Cowling, B. J., Ng, T. W., Xiao, J., Leung, G. M., Chang, A., Liang, R. 1800: 10105395211073052

  Abstract

  This study aims to provide evidence on how the COVID-19 pandemic has impacted chronic disease care in diverse settings across Asia. Cross-sectional surveys were conducted to assess the health, social, and economic consequences of the pandemic in India, China, Hong Kong, Korea, and Vietnam using standardized questionnaires. Overall, 5672 participants with chronic conditions were recruited from 5 countries. The mean age of the participants ranged from 55.9 to 69.3 years. A worsened economic status during the COVID-19 pandemic was reported by 19% to 59% of the study participants. Increased difficulty in accessing care was reported by 8% to 24% of participants, except Vietnam: 1.6%. The worsening of diabetes symptoms was reported by 5.6% to 14.6% of participants, except Vietnam: 3%. In multivariable regression analyses, increasing age, female participants, and worsened economic status were suggestive of increased difficulty in access to care, but these associations mostly did not reach statistical significance. In India and China, rural residence, worsened economic status and self-reported hypertension were statistically significantly associated with increased difficulty in access to care or worsening of diabetes symptoms. These findings suggest that the pandemic disproportionately affected marginalized and rural populations in Asia, negatively affecting population health beyond those directly suffering from COVID-19.

  View details for DOI 10.1177/10105395211073052

  View details for PubMedID 35067078

• Person-environment fit and medical professionals' job satisfaction, turnover intention, and professional efficacy: A cross-sectional study in Shanghai. PloS one Xiao, Y., Dong, M., Shi, C., Zeng, W., Shao, Z., Xie, H., Li, G. 2021; 16 (4): e0250693

  Abstract

  Using the person-environment (PE) fit theory, this study aims to explore factors affecting medical professionals' job satisfaction, turnover intention, and professional efficacy, and to examine individual characters associated with PE fit.This study used data from the sixth National Health Service Survey conducted in 2018, with a focus on job outcomes among medical professionals in Shanghai. The reliability and validity of the tools for measuring PE and job outcomes were calculated. A structural equation model was used to examine the relationship among person-job (PJ) fit and person-group (PG) fit, job satisfaction, turnover intention, and professional efficacy. Finally, a hierarchical regression model was used to analyze the association between demographic variables and the PJ and PG fit.PG fit was directly and positively associated with job satisfaction and professional efficacy. PJ fit had a direct and positive association with job satisfaction but had a direct and negative association with turnover intention. The indirect association of PJ fit with turnover intention was statistically significant. The results from the hierarchical regression analysis showed that younger physicians generally had a lower level of PJ fit and older physicians with higher education tended to have a lower level of PG fit.Medical professionals with higher PJ or PG fit have higher job satisfaction, and those with higher PG fit have higher professional efficacy. The impact of PJ fit on turnover intention was mediated by job satisfaction. Healthcare managers should take actions to effectively promote medical professionals' PJ and PG fit to improve their retention and efficiency.

  View details for DOI 10.1371/journal.pone.0250693

  View details for PubMedID 33905430

  View details for PubMedCentralID PMC8078800