What factors predict physicians' utilization behavior of contrast-enhanced ultrasound? Evidence from the integration of the Theory of Planned Behavior and Technology Acceptance Model using a structural equation modeling approach

Understanding hepatitis E vaccination intention among women of childbearing-age: A theory-based cross-sectional study

OBJECTIVES

The purpose of this study was to investigate the HEV vaccination intention, its determinants, and overall influence mechanisms among childbearing-age women.

METHOD

The current study was cross-sectional and conducted online from June 25, 2023 to September 25, 2023 in Nanjing, China. Logistic regression models were constructed to identify the intention-associated background factors. Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) were integrated and expanded as TAM-TPB model to further investigate the determinants and overall influence mechanism of HEV vaccination intention among this population using structural equation modeling.

RESULTS

A total of 423 eligible participants were included in this study. High general HEV knowledge was independently associated with an increased intention to get HEV vaccination (OR = 1.97, 95 % CI: 1.11-3.58, P = 0.023). All the hypotheses proposed in the theoretical TAM-TPB model were supported, with perceived ease of use, perceived usefulness, attitude, subjective norm, and perceived behavioral control positively affecting the intention of HEV vaccination (all P values <0.05), while perceived risk (P = 0.003) exhibited an inverse association with HEV vaccination intention. The model achieved an acceptable fit, and the total explained variance of HEV vaccination intention was as high as 86.20 %. Moreover, no significant common method bias was observed.

CONCLUSION

This is the first theory-based study that explored the HEV vaccination intention, its determinants, and overall influence mechanism among childbearing-age women. The results of the current study are of great importance for improving the understanding of the HEV vaccination intention among females of childbearing age.

Predictive Factors of Physicians' Satisfaction and Quality of Work Under Teleconsultation Conditions: Structural Equation Analysis

BACKGROUND

The COVID-19 pandemic contributed to an increase in teleconsultation adoption in the Polish primary health care system. It is expected that in the long run, teleconsultations will successfully replace a significant part of face-to-face visits. Therefore, a significant challenge facing primary health care facilities (PHCs) is the acceptance of teleconsultations by their users, especially physicians.

OBJECTIVE

This study aimed to explore physicians' acceptance of teleconsultations during the COVID-19 pandemic in Poland.

METHODS

A representative survey was conducted among 361 physicians of PHCs across Poland in 2021. For the purposes of the study, we developed a modified Technology Acceptance Model (TAM) model. Based on the modified TAM, we analyzed the impact of perceived usefulness (PU), perceived ease of use (PEU), and intention to use teleconsultation (INT) on physicians' satisfaction (SAT) and quality of work (Q). The psychometric properties of the research instrument were examined using exploratory factor analysis. Finally, structural equation modeling was used for data analysis.

RESULTS

The results indicated a generally high level of PU (mean 3.85-4.36, SD 0.87-1.18), PEU (mean 3.81-4.60, SD 0.60-1.42), INT (mean 3.87-4.22, SD 0.89-1.12), and SAT (mean 3.55-4.13, SD 0.88-1.16); the lowest rated dimension in TAM was Q (mean 3.28-3.73, SD 1.06-1.26). The most important independent variable was PU. The influence of PU on INT (estimate=0.63, critical ratio [CR]=15.84, P<.001) and of PU on SAT (estimate=0.44, CR= 9.53, P<.001) was strong. INT was also a key factor influencing SAT (estimate=0.4, CR=8.57, P<.001). A weaker relationship was noted in the effect of PEU on INT (estimate=0.17, CR=4.31, P<.001). In turn, Q was positively influenced by INT (estimate=0.179, CR=3.64, P<.001), PU (estimate=0.246, CR=4.79, P<.001), PEU (estimate=0.18, CR=4.93, P<.001), and SAT (estimate=0.357, CR=6.97, P<.001). All paths between the constructs (PU, PEU, INT, SAT, and Q) were statistically significant, which highlights the multifaceted nature of the adoption of teleconsultations among physicians.

CONCLUSIONS

Our findings provide strong empirical support for the hypothesized relationships in TAM. The findings suggest that the PU and PEU of teleconsultation have a significant impact on the intention of physicians to adopt teleconsultation. This results in an improvement in the satisfaction of Polish physicians with the use of teleconsultation and an increase in Q. The study contributes to both theory and practice by identifying important prognostic factors affecting physicians' acceptance of teleconsultation systems.

Knowledge sharing of health technology among clinicians in integrated care system: The role of social networks

Promoting clinicians' knowledge sharing of appropriate health technology within the integrated care system (ICS) is of great vitality in bridging the technological gap between member institutions. However, the role of social networks in knowledge sharing of health technology is still largely unknown. To address this issue, the study aims to clarify the influence of clinicians' social networks on knowledge sharing of health technology within the ICS. A questionnaire survey was conducted among the clinicians in the Alliance of Liver Disease Specialists in Fujian Province, China. Social network analysis was conducted using NetDraw and UCINET, and the quadratic assignment procedure (QAP) multiple regression was used to analyze the influencing factors of knowledge sharing of health technology. The results showed that the ICS played an insufficient role in promoting overall knowledge sharing, especially inter-institutional knowledge sharing. Trust, emotional support, material support, and cognitive proximity positively influenced knowledge sharing of health technology, while the frequency of interaction and relationship importance had a negative impact on it. The finding extended the research scope of social network theory to the field of healthcare and will bridge the evidence gap in the influence of the clinicians' social networks on their knowledge sharing within the ICS, providing new ideas to boost knowledge sharing and diffusion of appropriate health technology.

Factors influencing physician's behavioral intention to use Traditional Chinese Medicine to treat coronavirus disease 2019 based on the theory of planned behavior

OBJECTIVE

To explore the factors influencing physicians' intentions to use Traditional Chinese Medicine (TCM) to treat coronavirus disease 2019 (COVID-19).

METHODS

A cross-sectional, self-report online survey was conducted from March 16, 2020, to April 2, 2020, in China. Participants were recruited through convenience and snowball sampling. Data were collected by using a self-designed questionnaire based on the Theory of Planned Behavior. Structural equation modeling was used for data analysis.

RESULTS

A total of 494 physicians were enrolled in this study. Overall, the model explained 75.4% and 75.5% of the total variance in intention and attitude, respectively. Specifically, attitudes (β = 0.467, P < 0.001), past behavior (β = 0.384, P < 0.05), subjective norms (SN) (β = 0.177, P < 0.001), and perceived behavioral control (PBC) (β = 0.133, P < 0.05) significantly affected physicians' intention to use TCM. Cognition (β = 0.606, P < 0.001) and PBC (β = 0.569, P < 0.01) significantly influenced physicians' attitudes toward using TCM. SN (β = 0.064, P = 0.263) was not a factor affecting attitude.

CONCLUSION

Physicians' intention to use TCM was significantly associated with attitude, past behavior, PBC, and SN. The findings may not only be useful for understanding the influencing factors and paths of physicians' intention to use TCM to treat COVID-19 but also provide a reference for health authorities and policymakers to promote physicians to utilize TCM.

Examining Primary Care Physicians' Intention to Perform Cervical Cancer Screening Services Using a Theory of Planned Behavior: A Structural Equation Modeling Approach

Background

Promoting cervical cancer screening (CCS) is undoubtedly effective in combating severe public health problems in developing countries, but there are challenges to its implementation. Understanding the factors influencing primary care physicians' intentions to provide CCSs to rural women is crucial for the future implementation of screening programs. The aim of this study was to assess the intentions of primary care physicians to provide cervical cancer screening services (CCSSs) to rural women and their determinants.

Methods

This cross-sectional study included 1,308 primary care physicians in rural primary health care, and the data collection tool was developed based on the theory of planned behavior (TPB), which included demographic characteristics, the basic constructs of TPB, and the degree of knowledge of CCSSs as an extended variable of the TPB model. Structural equation modeling was used to analyze the relationships between each factor.

Results

Pathway analysis found that TPB is an appropriate theoretical basis for predicting primary care physicians' intent to provide CCSSs (χ2/df = 2.234 &lt; 3, RMSEA = 0.035, and SRMR = 0.034). Meanwhile, the structural equation model showed that attitude (β = 0.251, p &lt; 0.001), subjective norm (β = 0.311, p &lt; 0.001), perceived behavioral control (β = 0.162, p &lt; 0.001), and knowledge level (β = 0.152, p &lt; 0.01) positively predicted primary care physicians' intention to provide CCSSs.

Conclusions

TPB model, with the addition of knowledge, was useful in predicting primary care physicians' intention to provide CCSSs for rural Chinese women. The findings of this study provide a reference for the government and hospitals to develop strategies to improve the intent of primary care physicians to provide CCSSs.

Using Multilevel Structural Equation Modeling (MSEM) to Identify the Predictors and Influencing Mechanism of Technology Use Among Chinese Physicians: An Example from Des-Gamma-Carboxy Prothrombin (DCP)

Background

Since expanding the use of appropriate and effective health technologies will greatly benefit the diagnosis and treatment of some major diseases at an early stage, understanding the mechanism of technology use is crucial for its successful implementation. Few previous studies focused on the healthcare providers and involved multi-facets factors at individual, technical, organizational, and environmental levels.

Purpose

To examine the influencing mechanism of technology use among Chinese physicians by integrating multilevel factors, Des-gamma-Carboxy Prothrombin (DCP) was taken as an example.

Methods

Through multistage random sampling, a cross-sectional questionnaire survey was conducted among physicians in charge of direct use of DCP of sampled secondary and tertiary hospitals. Since the sample data comprised two hierarchical levels (physicians and hospitals), multilevel structural equation modeling was used to link five aspects of factors with physicians’ technology use and estimate the effects.

Results

Totally, 229 physicians completed the investigation. The use of DCP appears to be at a relatively low level. Intra-class coefficients of the null model (unadjusted baseline model) suggested that physicians’ DCP use has a significant variation between hospitals. The final model identified that value cognition (B = 0.447, P < 0.01), experienced organizational practice (B = 0.203, P < 0.05), and perceived organizational atmosphere (B = −0.237, P < 0.01) contributed directly to physicians’ DCP use. Additionally, technical assessment, perceived organizational atmosphere, and perceived environmental pressure had indirect impacts on physicians’ DCP use that were mediated by value cognition and experienced organizational practice (P < 0.05).

Conclusion

This study incorporated and determined the significant direct or indirect role of value cognition, technical assessment, experienced organizational practice, perceived organizational atmosphere, and perceived environmental pressure. This influencing mechanism with integrated multilevel factors could serve as a theoretical basis for tailoring interventions to promote technology use among Chinese physicians.

Evaluation of Student Satisfaction with Ubiquitous-Based Tests in Women's Health Nursing Course

Learning evaluation using ubiquitous-based tests may be essential during a public health crisis, such as the COVID-19 pandemic, during which theoretical classes and clinical practice are conducted online. However, students may not be as familiar with ubiquitous-based tests as they are with paper-based tests. This survey study aimed to evaluate students' satisfaction with ubiquitous-based tests and compare the evaluation results of a paper-based test with that of a ubiquitous-based test in nursing education. For the midterm exam of the Women's Health Nursing course, a paper-based test was conducted, while a ubiquitous-based test using a tablet computer was used for the final exam. The Ubiquitous-Based Test Usefulness and Satisfaction tool, which has a five-point Likert-type response scale, was employed to evaluate the post-test usefulness and satisfaction scores of the ubiquitous-based test. The mean score of the ubiquitous-based test usefulness was 4.01 ± 0.67. There was a significant difference in satisfaction levels between the ubiquitous-based and the paper-based test (t = -3.36, p = 0.001). Specifically, the evaluation scores were not affected by different evaluation methods. Study participants deemed the ubiquitous-based test highly useful and satisfactory, suggesting that such tests may be a future-oriented evaluation method, potentially replacing paper-based tests.