A preliminary study on applying holistic health care model on medical education behavioral intention: a theoretical perspective of planned behavior

Tsai, Liang‐Miin; Yan, Yu‐Hua

doi:10.1186/s12909-021-02746-0

Cited by 7 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Literature review revealed that there was a lack of publications focussing on the intentions, and its predicting factors, of health science students' to pursue PGx and PM-related training after graduation. The Theory of Planned Behaviour (TPB) has been continuously applied in a great spectrum of healthcare issues, including the investigation of health science students' intentions for further education [17][18][19][20]. According to TPB, attitudes are considered as a critical factor affecting individuals' intentions for future behaviour.…”

Section: Research Framework Of the Proposed Model On Students' Intent...mentioning

confidence: 99%

Pharmacy students’ attitudes and intentions of pursuing postgraduate studies and training in pharmacogenomics and personalised medicine

et al. 2023

View full text Add to dashboard Cite

Background Pharmacists’ contribution to pharmacogenomics (PGx) implementation in clinical practice is vital, but a great proportion of them are not aware of PGx and its applications. This highlights the university education’s crucial role to prepare pharmacists to face future challenges in such a constantly evolving and demanding environment. Objectives Our study aims to examine pharmacy students’ training satisfaction, knowledge, self-confidence and attitudes towards PGx on their intentions for postgraduate training in PGx and personalised medicine (PM). Methods An initial model on students’ intention to pursue postgraduate training in PGx and PM and its predicting factors, based on the Theory of Planned Behaviour (TPB), was proposed. Based on it, a questionnaire was developed and distributed to 346 pharmacy students of all study years, capturing the selected factors influencing students’ intentions to postgraduate training in PGx and PM, as well as their demographics. Structural equation modelling (SEM) analysis was employed to determine the effects of both the examined factors and demographics on students’ intentions. Results Students did not consider themselves adequately prepared for using PGx in clinical practice. Their attitudes towards PGx implementation were the most important factor influencing their intentions to pursue postgraduate training in PGx and PM. Other factors such as self-confidence and training satisfaction also affected students’ intentions, but to a lower extent. Students of the last two study years (40% of the whole sample) and male (36%) students stated to be less willing to pursue PGx-related studies in the future. Only 10% of the participants claimed to have undergone a recent PGx or genetic test, but this did not affect their intentions. Conclusion There is an important gap in pharmacy school curriculum regarding PGx and PM training which coupled with the slow rate of PGx and PM implementation into clinical practice seems to restrain students’ aspiration to further expand their knowledge and horizons in terms of PGx and PM.

show abstract

Section: Research Framework Of the Proposed Model On Students' Intent...mentioning

confidence: 99%

Pharmacy students’ attitudes and intentions of pursuing postgraduate studies and training in pharmacogenomics and personalised medicine

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The values of both groups are greater than 0.5, which is the acceptable value factor loadings [71]. The CR is a measure of the internal consistency of a scale item [72]. The Cronbach's α of the four dimensions all reached a credibility standard of more than 0.5 [73,74], indicating that all of the data the study collected are valid.…”

Section: Path Analysis and Pls-semmentioning

confidence: 99%

“…Our research shows that there is statistical significance in the PCB of air pollution prevention behaviors in both groups, greater than SN (Greater Taipei Metropolitan Group: β = 0.334, t = 5.547 > 3.29; New Taipei City Group β = 0.387, t = 2.967 > 2.58). The PBC for the parents of both groups affects their respective BI [2,56,72,86] associated with air pollution prevention, and that PBC is the main factor influencing their BI.…”

Section: Influence Of Perceived Behavioral Control (Pbc)mentioning

confidence: 99%

Predicting the Protective Behavioral Intentions for Parents with Young Children Living in Taipei City and New Taipei City Using the Theory of Planned Behavior for Air Polluted with PM2.5

Woo

Pai

Chiang

et al. 2023

IJERPH

View full text Add to dashboard Cite

While studies on the damaging effects of PM2.5 air pollution are abundant, studies seeking to understand the factors that influence human behaviors for the avoidance of exposure to PM2.5 are lacking. Theory of Planned Behavior (TPB) can be used to investigate the effects of Attitudes (AT), Subjective Norms (SN), and Perceived Behavioral Controls (PBC) in the Behavioral Intentions (BI) of parents with young children against exposure to PM2.5. Questionnaires, based on the TPB used to predict BI, were distributed to 610 parents in Taipei City and New Taipei City. Our results revealed that the AT of both groups had a significant positive predictive effect on their PBC and BI. While the SN of the Taipei group affected BI directly, there was no significant effect on the BI from the SN of the New Taipei group. Using path analysis, Taipei City and New Taipei City groups had different BI paths: All five hypotheses are statistically significant and form four paths in the Taipei City group. While only four hypotheses in the New Taipei City group formed three paths and no path for SN-BI. Both groups formed behaviors that were based on the SN/PBC around them, which ultimately contributed to the BI of their protective behaviors.

show abstract

“…The composite reliability (CR) is a measure of the internal consistency of a scale item and is much like Cronbach's α [47], which is a measure of the factor variance. If each factor value is greater than 0.7, then the value indicates that the internal consistency or variation of each factor meets the credibility standard [48,49].…”

Section: Path Analysis and Pls-semmentioning

confidence: 99%

“…The results of this study show that there is no statistically significant difference in the PCB of air pollution prevention behaviors in both groups. The PBC for the parents of both groups affect their respective BI [9,36,38,47] associated with air pollution prevention with PBC being the main factor influencing their BI [9,37,38].…”

Section: Influence Of Perceived Behavioral Controls (Pbc)mentioning

confidence: 99%

Predicting the protective behavioral intentions for parents with young children that possess different levels of education in Hong Kong using the theory of planned behavior for air polluted with PM2.5

et al. 2022

View full text Add to dashboard Cite

Background Air pollution has fast become an issue with great environmental and human health problems that can be attributed to rapid global industrialization and urbanization that has strong negative impacts on human health. Children are particularly vulnerable. While studies on the effects and toxicology of particulate matter pollutants that are 2.5 microns or smaller in size (PM2.5) are abundant, understanding the factors that influence human behaviors against or the avoidance of exposure/contact to air polluted with high levels of PM2.5 is lacking. In this study, this gap was narrowed by used the Theory of Planned Behavior (TPB) to investigate the effects of Attitudes (AT), Subjective Norms (SN), and Perceived Behavioral Controls (PBC) on the Behavioral Intentions (BI) of parents with young children with different levels of education against or avoiding contact/exposure to air polluted with high levels of PM2.5. Methods The TPB model was used to predict the BI of parents with young children with different levels of education that live in Hong Kong using the results collected from 410 online questionnaires. Aspects of the BI influencing parents with young children that earned undergraduate group and post-graduate group were analysed using Smart Partial Least Squares 2.0 software. Results Our results revealed there were substantial differences in the AT of parents with young children that earned undergraduate and post-graduate degrees with respect to exposure to air with PM2.5 pollution. Conclusions In this study we assessed the factors that influence the air pollution prevention and avoidance behaviors of parents of the undergraduate and post-graduate groups that were exposed to air polluted with PM2.5. Our results show the AT, SN, PBC, and BI used in the air pollution protection model for the parents of both groups are connected by separate pathways. The undergraduate group has a higher PBC compared to the post-graduate group because the SN associated with their social ecosystems contribute to their BI. Using path analysis, we revealed that the undergraduate and post-graduate groups had different BI paths. The BI path of the undergraduate group is purer and simpler when compared with the path of the post-graduate group.

show abstract

A preliminary study on applying holistic health care model on medical education behavioral intention: a theoretical perspective of planned behavior

Cited by 7 publications

References 17 publications

Pharmacy students’ attitudes and intentions of pursuing postgraduate studies and training in pharmacogenomics and personalised medicine

Pharmacy students’ attitudes and intentions of pursuing postgraduate studies and training in pharmacogenomics and personalised medicine

Predicting the Protective Behavioral Intentions for Parents with Young Children Living in Taipei City and New Taipei City Using the Theory of Planned Behavior for Air Polluted with PM2.5

Predicting the protective behavioral intentions for parents with young children that possess different levels of education in Hong Kong using the theory of planned behavior for air polluted with PM2.5

Contact Info

Product

Resources

About