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# คำถาม คำตอบ ถูก / ผิด สาเหตุ/ขยายความ ทฤษฎีหลักคิด/อ้างอิงในการตอบ คะแนนเต็ม ให้คะแนน
1


According to the UTAUT model, which factor is considered the most influential in shaping trust towards innovative medical devices?

E) Acceptance Intention

การวิจัยสำรวจถึงการยอมรับเครื่องมือการเเพทย์

Trust refers to the belief in others or products, and is one of the evaluative factors of consumer's perception towards an object (Na et al., 2023, Yu et al., 2023). Trust can be composed of multidimensional aspects, rather than a single-dimensional concept. In other words, trust can be approached as dimensions of expectation, emotion, and belief, but can also be composed of dimensions of expertise, credibility, and likability towards a company (Aaker and Keller, 1990).

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2


Which factor, according to the research, had the least impact on trust among the UTAUT factors for innovative medical devices?

E) None of the above

ไม่มีปัจจัยหลัก เเต่มี psychological factors

This study was able to identify various factors that influence the acceptance of innovative medical devices by medical professionals, particularly noting that trust in the medical device has a significant impact on the intent to accept.

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3


What role does trust play in the acceptance of innovative medical devices according to the study?

A) Diminishes the perceived risk

การยอมรับเกิดจากหน้าที่ของคุณภาพของนวัตกรรม

The first perspective is the perception of the device's performance and quality. When medical professionals trust innovative medical devices, they have confidence in the device's performance and quality, which helps them actively use and adopt the device. The second perspective is the reduction of risk perception. As trust in innovative medical devices increases, medical professionals lower their perception of risk associated with device use. This reduced risk perception helps medical professionals use and adopt the device more actively.

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4


In the context of UTAUT model, which factor signifies the existence of organizational and technical infrastructure necessary to support the use of the innovative medical device?

D) Performance Expectancy

งานวิจัยกล่าวถึงปัจจัยเรื่อง Performance expectancy เป็นหลัก

UTAUT proposes four variables that influence the intention and usage of new technology: Performance expectancy, effort expectancy, facilitating conditions, and social influence. Performance expectancy is the degree to which an individual believes that using the innovative medical device will help them achieve their work-related goals. Effort expectancy refers to the degree of ease an individual perceives when using a new medical device. Social influence is the degree to which an individual perceives that important others believe they should use the innovative medical device. Facilitating conditions refer to the degree to which an individual believes that the necessary organizational and technical infrastructure exists to support the use of the innovative medical device.

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5


What does the study suggest about the impact of Social Influence on trust towards innovative medical devices?

E) It only affects effort expectancy

ยังมีจำนวนการสำรวจที่น้อย เเละจำกัดเเค่ในกรุงโซล ควรมีการศึกษาในหลากหลายพื้นที่เพื่อสรุปผล

Despite these academic and practical implications, this study only surveyed 248 healthcare professionals aged 30 or older in Seoul and the metropolitan area, so caution is needed in generalizing the results to all medical professionals. Therefore, it is necessary to conduct more comprehensive research that includes medical professionals residing outside the Seoul and the metropolitan area to increase the generalizability of the study results. In addition, follow-up research that examines the differences in facilitating conditions according to hospital size, which are expected to vary relatively, would also be highly meaningful.

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6


What was the statistical significance of the association between OMT at discharge and 1-year all-cause mortality in patients with ACS?

E. No significant association was found.

ไม่มีการเปลี่ยนเเปลงทางตัวเลข

The primary outcome was all-cause mortality which was defined as any causes of death within 1 year after discharge. The secondary outcome was MACE which was defined as a composite of non-fatal MI, non-fatal stroke, and all-cause mortality.

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7


Which combination of medications defines OMT for patients with ACS according to the study?

B. Aspirin, P2Y12 inhibitors, statins, beta-blockers, and ACE inhibitors or ARBs

ในขั้นตอนการวิจัยระบุว่า OMT มี5ตัวยา

OMT was defined as the treatment with all five drugs regimen, which consists of DAPT (aspirin and P2Y12 inhibitors), statins, beta-blockers, and ACEIs or ARBs according to the ESC [7, 8] and ACC/AHA recommendations.

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8


Over the study period, how did the prescription trend of OMT with high-intensity statins change?

B. Decreased significantly

สเเตตินที่มีความเข้มข้นสูง มีผลต่อการลดลงของอัตราการเสียชีวิตเเละ MACE อย่างมีนัยสำคัญ

OMT of five-drug combination maximizes the benefits in patients with ACS. The prescription of OMT was associated with a reduction in all-cause mortality and MACE.

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9


Which patient demographic was less likely to be prescribed OMT at discharge?

B. Patients over 75 years old

ในสรุปของงานวิจัยระบุว่าจำนวนผู้ป่วยที่มีอายุมากกว่า75ปี มีจำนวนน้อย

However, OMT prescribing remains underused in the real-world setting. Only 42.6% of patients were discharged with OMT. Our study identifies the following patient populations as being less likely to be discharged on OMT: undergoing CABG, patients with CKD, and patients >75 years of age. Health care providers should be encouraged to identify risk factors for non-adherence and promote adherence to prescribed OMT according to established principles.

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10


What was the primary outcome measured in the study?

A. The rate of rehospitalization

ศึกษาเกี่ยวกับอัตราการเสียชีวิต

A total of 5631 adult patients were hospitalized with ACS; 3531 patients met the inclusion criteria and were included in the analysis (Fig. 1).

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11


Considering the importance of trust in the adoption of AI-based medical devices, which scenario would most likely increase a medical professional's trust in these technologies?

C) Patients express a high level of comfort with AI technologies.

ผู้ป่วยจะไว้ใจ AIได้ก็ต่อเมื่อ AI มีคุณภาพ

Performance Expectancy, with an unstandardized coefficient of.333 and a standardization coefficient (β) of.382, emerges as the most influential factor. This is consistent with (Venkatesh and Davis, 2000)' findings in their seminal work on the technology acceptance, which emphasized the importance of perceived usefulness (akin to performance expectancy) in influencing users' acceptance of technology. The high t-value (6.521) and low p-value (.000) in our study further underscore its significance. This suggests that when medical professionals believe that innovative medical devices will enhance their work efficiency and improve patient outcomes, their trust in these devices increases.

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12


Which factor is least likely to be directly influenced by facilitating conditions in the adoption of innovative medical devices?

C) Personal attitudes towards technology among medical staff

ไม่ได้กล่าวถึง Personal Attitudes Towards Technology Among Medical Staff

Facilitating Conditions, with a β of.188, indicate that the presence of adequate support and resources to use the technology influences trust. This finding is in line with Venkatesh et al. (2003), who highlighted the role of facilitating conditions in technology adoption. In the healthcare setting, this could translate to sufficient training and technical support for innovative medical devices.

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13


How might social influence affect the adoption of AI-based medical devices in a healthcare setting where there is skepticism about technology?

A) By increasing skepticism due to peer pressure

ความคาดหวังของสังคมก่อให้เกิดการพัฒนา

Social influence, represented by a β of.249, is also a significant predictor of trust. This corroborates the findings of Graf-Vlachy et al. (2018), who observed the impact of social factors on technology acceptance. In medical settings, recommendations or endorsements from peers or authorities in the field can significantly boost professionals' trust in new medical technologies.

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14


In the context of the UTAUT model, why might effort expectancy not be the strongest predictor of technology acceptance in a medical setting?

A) Because medical professionals prioritize patient care over convenience

In medical technology, the application of UTAUT has been pivotal in examining the adoption of new systems by healthcare professionals (Garavand et al., 2019, Ifinedo, 2012, Kim et al., 2015, Rouidi et al., 2022, Wills et al., 2008). Holden and Karsh (2010) explored how UTAUT could be applied to understand the acceptance of electronic health records (EHRs)

Effort expectancy refers to the degree of ease an individual perceives when using a new medical device. Social influence is the degree to which an individual perceives that important others believe they should use the innovative medical device. Facilitating conditions refer to the degree to which an individual believes that the necessary organizational and technical infrastructure exists to support the use of the innovative medical device.

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15


Given the potential for AI-based medical devices to transform healthcare, what critical factor should be considered to ensure their ethical use?

E) Making sure that AI devices can perform tasks without human oversight

This study does not require an ethical review and approval as it does not involve any sensitive information about the respondents nor does it deal with animal or human subjects as defined under the Bioethics Act.

This study does not require an ethical review and approval as it does not involve any sensitive information about the respondents nor does it deal with animal or human subjects as defined under the Bioethics Act. The research focuses solely on perceptions and attitudes toward technology, hence falling outside the scope of ethical review requirements typically associated with studies involving human or animal subjects.

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16


Based on the findings, how could the increase in prescription rates of OMT with high-intensity statins influence future healthcare policies for ACS patients in Thailand?

C. It may decrease the overall healthcare costs by reducing the need for high-intensity statin therapies.

Acute coronary syndrome (ACS) is associated with increased length of hospitalization [1], healthcare costs, and long-term mortality [2, 3]. In particular, rehospitalizations after coronary events are associated with a substantial impact on healthcare utilization, and hospital mortality [4].

In conclusion, OMT of five-drug combination maximizes the benefits in patients with ACS. The prescription of OMT was associated with a reduction in all-cause mortality and MACE.

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17


Considering the lower likelihood of OMT prescription in patients over 75, what might be a critical approach to address this issue in clinical practice?

D. Limit the use of high-intensity statins in older patients due to their age.

มีโรคเเทรกซ้อนจากการที่อายุมาก เเละให้สเเตตินได้ไม่เยอะ

Health care providers should be encouraged to identify risk factors for non-adherence and promote adherence to prescribed OMT according to established principles. Patients receiving OMT with high-intensity statins exhibited numerically better survival than patients receiving OMT with low-intensity statins. This difference should be further studied, and clinicians should consider prescribing high-intensity statins for patients without contraindications.

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18


What implications do the study's findings have for patient education on the importance of OMT after discharge for ACS?

C. Only physicians need to understand the importance of OMT, not patients.

ในงานวิจัยไม่ได้กล่าวถึงการให้ความรู้กับผู้ป่วย

ในงานวิจัยไม่ได้กล่าวถึงการให้ความรู้กับผู้ป่วย

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19


How might the study's findings on the association between OMT prescription at discharge and reduced 1-year mortality influence clinical decision-making?

D. The findings are unlikely to influence clinical decision-making significantly.

ผลหลังจาก1 ปียังไม่สามารถสรุปได้ เเต่ผลจากปี January 2013 and December 2018

The primary outcome was all-cause mortality which was defined as any causes of death within 1 year after discharge. The secondary outcome was MACE which was defined as a composite of non-fatal MI, non-fatal stroke, and all-cause mortality.

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20


Given the study's results, what could be a potential area for future research to further understand OMT's role in ACS management?

B. Exploring alternative therapies to OMT for ACS management.

เข้าใจผลของการใช้OMT ในผู้ป่วยACS

From a practical standpoint, understanding the dynamics of open innovation can guide medical device manufacturers in structuring their innovation processes. By engaging with external partners, such as research institutions, start-ups, and end-users, companies can leverage diverse knowledge bases, leading to more efficient and user-centered medical device development (Chesbrough, 2006, Dahlander and Gann, 2010). This approach also supports the concept of co-creation with users and other stakeholders, as emphasized by Von Hippel (2006), fostering a more inclusive and participatory innovation process.

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ผลคะแนน 24 เต็ม 100

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