Applying the theory of planned behaviour to understand mental health professionals' intentions to work using a human rights-based approach in acute inpatient settings

Differences in influencing mechanism of clinicians' adoption behavior for liver cancer screening technology between the leading and subordinate hospitals within medical consortiums

BACKGROUND

Medical consortiums have been extensively established to facilitate the integration of health resources and bridge the technical gap among member institutions. However, some commonly appropriate technologies remain stagnant in subordinate hospitals, although they have been routinely applied in leading hospitals. Besides, the mechanism underlying differences in clinicians' adoption behavior at different levels of institutions was unknown. Therefore, this study aimed to investigate the differences in influencing mechanisms of clinicians' hepatic contrast-enhanced ultrasound technology (CEUS) utilization behavior between leading and subordinate hospitals within medical consortiums, thus providing clues for expanding effective and appropriate technologies within integrated care systems.

METHODS

A self-designed scale was developed based on the theory of planned behavior (TPB). A multistage sampling method was applied to investigate clinicians who were aware of CEUS and worked in liver disease-related departments within the sampled medical institutions. The final sample size was 289. AMOS 24.0 software was used to construct multi-group structural equation modeling (SEM) to validate the hypotheses and determine the mechanism of hepatic CEUS utilization.

RESULTS

It revealed that behavioral intention significantly influenced adoption behavior, regardless of whether it was in leading hospitals or subordinate hospitals (β = 0.283, p < 0.001). Furthermore, behavioral attitude (β = 0.361, p < 0.001) and perceived behavioral control (β = 0.582, p < 0.001) exerted significant effects on adoption behavior through behavioral intention. However, in leading hospitals, subjective norm had a significant positive effect on behavioral intention (β = 0.183, p < 0.01), while it had a significant negative impact on behavioral intention in the subordinate hospitals (β = -0.348, p < 0.01).

CONCLUSION

To effectively translate the adoption intention into actual behavior, it is recommended to elucidate the demand and facilitators involved in the process of health technology adoption across leading and subordinate hospitals. Additionally, bolstering technical support and knowledge dissemination within subordinate hospitals while harnessing the influential role of key individuals can further enhance this transformative process.

The theory of planned behavior and alcohol protective behavioral strategies: a prospective study examining the role of habit and gender invariance

OBJECTIVES

Alcohol Protective Behavioral Strategies (PBS) have consistently shown to be effective in reducing alcohol use and its associated consequences. We aimed to examine the explanatory value of the Theory of Planned Behavior (TPB) for using five PBS, studying the role of habit, and its potential variation across genders.

METHODS

Targeted sampling was used to recruit 339 young adults in the community (women = 50.7%; mean age = 2.21[SD = 2.21]), who completed baseline and 2-month follow-up questionnaires.

RESULTS

The explained variance of the TPB ranged from 58-68% for intention to use PBS, and 18-50% for behavior. The inclusion of habit produced increases of 17-26% in explained variance in intention, while explained variance in behavior remained similar. Habit was the strongest predictor of intention to use PBS, followed by attitude. Except for one behavior (drinking slowly), habits did not moderate the intention-behavior relationship, and the explanatory value of the TPB did not differ across genders.

CONCLUSIONS

Our findings support the utility of the TPB as an explanatory model of alcohol PBS, along with the need to include habits within the framework of dual-process models. Interventions aimed at promoting alcohol PBS could be optimized by targeting attitudes towards PBS and habits.