IELTS Reading: Vai trò Công nghệ trong Cải thiện Sức khỏe Tâm thần – Đề thi mẫu có đáp án chi tiết

Mở bài

Trong những năm gần đây, sức khỏe tâm thần đã trở thành một chủ đề nóng bỏng được thảo luận rộng rãi trên toàn cầu. Đồng thời, công nghệ số cũng phát triển vượt bậc và đang dần thay đổi cách chúng ta tiếp cận các vấn đề về sức khỏe tinh thần. Chủ đề “The Role Of Technology In Improving Mental Health Outcomes” (Vai trò của công nghệ trong việc cải thiện kết quả sức khỏe tâm thần) thường xuyên xuất hiện trong kỳ thi IELTS Reading, đặc biệt trong các bài thi từ năm 2018 đến nay.

Bài viết này cung cấp cho bạn một đề thi IELTS Reading hoàn chỉnh với ba passages có độ khó tăng dần, từ Easy đến Hard, giúp bạn làm quen với cấu trúc đề thi thật. Bạn sẽ được luyện tập với 40 câu hỏi đa dạng, bao gồm Multiple Choice, True/False/Not Given, Yes/No/Not Given, Matching Headings, Summary Completion và nhiều dạng khác. Kèm theo là đáp án chi tiết với giải thích cụ thể và bảng từ vựng quan trọng được phân loại theo từng passage.

Đề thi này phù hợp cho học viên có trình độ từ band 5.0 trở lên, giúp bạn rèn luyện kỹ năng đọc hiểu học thuật, quản lý thời gian và nâng cao vốn từ vựng chuyên ngành về công nghệ và sức khỏe.

1. Hướng dẫn làm bài IELTS Reading

Tổng Quan Về IELTS Reading Test

IELTS Reading Test là một phần thi quan trọng trong kỳ thi IELTS, đánh giá khả năng đọc hiểu văn bản học thuật của thí sinh. Bài thi kéo dài 60 phút và bao gồm 3 passages với độ dài và độ khó tăng dần. Tổng cộng có 40 câu hỏi cần hoàn thành.

Phân bổ thời gian khuyến nghị:

• Passage 1 (Easy): 15-17 phút – Đây là passage dễ nhất, giúp bạn khởi động tốt
• Passage 2 (Medium): 18-20 phút – Độ khó trung bình, cần đọc kỹ hơn
• Passage 3 (Hard): 23-25 phút – Passage khó nhất, dành nhiều thời gian phân tích

Lưu ý quan trọng: Không có thời gian phụ để chuyển đáp án sang answer sheet, vì vậy bạn cần ghi đáp án trực tiếp trong quá trình làm bài.

Các Dạng Câu Hỏi Trong Đề Này

Đề thi mẫu này bao gồm các dạng câu hỏi phổ biến nhất trong IELTS Reading:

1. Multiple Choice – Câu hỏi trắc nghiệm nhiều lựa chọn
2. True/False/Not Given – Xác định thông tin đúng, sai hay không được đề cập
3. Matching Information – Nối thông tin với đoạn văn phù hợp
4. Yes/No/Not Given – Xác định ý kiến của tác giả
5. Matching Headings – Nối tiêu đề với đoạn văn
6. Summary Completion – Hoàn thành đoạn tóm tắt
7. Sentence Completion – Hoàn thành câu

Mỗi dạng câu hỏi yêu cầu kỹ năng đọc hiểu khác nhau, từ tìm thông tin chi tiết đến hiểu ý chính và suy luận.

2. IELTS Reading Practice Test

PASSAGE 1 – Digital Tools Transform Mental Healthcare Access

Độ khó: Easy (Band 5.0-6.5)

Thời gian đề xuất: 15-17 phút

The landscape of mental healthcare has undergone remarkable changes in recent years, largely due to the integration of technology into treatment and support systems. Traditional mental health services have often been constrained by geographical barriers, long waiting lists, and the stigma associated with seeking help. However, digital solutions are now breaking down these barriers and making mental health support more accessible than ever before.

Smartphone applications have emerged as one of the most popular tools for mental health support. These apps offer a wide range of features, from mood tracking and meditation guides to cognitive behavioural therapy (CBT) exercises. Users can access these resources at any time, making it easier to maintain consistent mental health practices. Many apps also include reminder functions that encourage users to engage regularly with their mental wellness routines. The convenience of having support available on a device that most people carry everywhere has made mental health care more integrated into daily life.

Teletherapy platforms represent another significant advancement in mental healthcare technology. These platforms connect patients with licensed therapists through video conferencing, eliminating the need for physical travel to appointments. This is particularly beneficial for people living in rural areas or those with mobility issues. Additionally, teletherapy often offers more flexible scheduling options, allowing patients to book sessions outside traditional office hours. The COVID-19 pandemic greatly accelerated the adoption of teletherapy, with many people experiencing it for the first time during lockdowns.

Online support communities have also proven to be valuable resources for individuals dealing with mental health challenges. These digital spaces allow people to connect with others who share similar experiences, providing a sense of belonging and understanding that can be therapeutic in itself. Many platforms moderate these communities to ensure they remain safe and supportive environments. Users can share coping strategies, offer encouragement, and find comfort in knowing they are not alone in their struggles.

Wearable technology is adding another dimension to mental health monitoring. Devices such as smartwatches can track physiological indicators like heart rate, sleep patterns, and activity levels, which are often linked to mental wellbeing. Some devices can detect signs of stress or anxiety and prompt users to take calming actions, such as breathing exercises. This real-time feedback helps users become more aware of their mental state and take proactive steps to manage it.

Artificial intelligence (AI) is beginning to play a role in mental health support as well. AI-powered chatbots can provide immediate responses to users experiencing distress, offering coping techniques or connecting them to professional help when necessary. While these chatbots cannot replace human therapists, they serve as a first line of support, especially during times when professional services are unavailable. Some AI systems can also analyze patterns in user data to predict potential mental health crises and alert healthcare providers.

Educational technology has made mental health literacy more widespread. Online courses, webinars, and interactive tutorials teach people about mental health conditions, treatment options, and self-care strategies. This increased knowledge helps reduce stigma and empowers individuals to seek help when needed. Many employers now use these educational platforms to promote mental wellness among their employees.

Despite these positive developments, experts caution that technology should complement, not replace, traditional mental healthcare. Face-to-face therapy remains important for many individuals, particularly those with severe mental health conditions. Technology is best viewed as an additional tool that can enhance accessibility and provide support between professional sessions. The goal is to create a comprehensive mental health ecosystem where digital and traditional services work together to support individuals effectively.

Questions 1-6

Do the following statements agree with the information given in the passage?

Write:

• TRUE if the statement agrees with the information
• FALSE if the statement contradicts the information
• NOT GIVEN if there is no information on this

1. Traditional mental health services have always been easily accessible to everyone.
2. Smartphone mental health apps can be used at any time of the day.
3. Teletherapy became more common during the COVID-19 pandemic.
4. Online support communities are always completely safe environments.
5. Wearable devices can measure heart rate and sleep patterns.
6. AI chatbots can completely replace human therapists in all situations.

Questions 7-10

Complete the sentences below.

Choose NO MORE THAN TWO WORDS from the passage for each answer.

7. Mental health apps often include __ that help users remember to practice their wellness routines.
8. Teletherapy is especially helpful for people with __ who find it difficult to travel.
9. Wearable technology can detect signs of stress and suggest __ to help users calm down.
10. Educational technology helps increase __ about mental health topics.

Questions 11-13

Choose the correct letter, A, B, C or D.

11. According to the passage, smartphone apps for mental health

    • A. are too expensive for most users
    • B. offer various features including mood tracking
    • C. require constant internet connection
    • D. only work during specific hours

12. The main advantage of teletherapy mentioned in the passage is

    • A. it costs less than traditional therapy
    • B. it eliminates the need to travel to appointments
    • C. it provides better treatment outcomes
    • D. it is only available during the pandemic

13. The passage suggests that technology in mental healthcare should

    • A. completely replace traditional therapy
    • B. only be used by young people
    • C. work alongside traditional services
    • D. focus exclusively on severe conditions

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PASSAGE 2 – The Science Behind Digital Mental Health Interventions

Độ khó: Medium (Band 6.0-7.5)

Thời gian đề xuất: 18-20 phút

The proliferation of digital mental health interventions has prompted researchers to investigate their efficacy and underlying mechanisms. While the convenience and accessibility of these tools are evident, understanding how they produce therapeutic effects requires rigorous scientific inquiry. Recent studies have begun to shed light on the neurobiological and psychological processes that make digital interventions effective for improving mental health outcomes.

A. One of the most well-researched digital interventions is internet-delivered cognitive behavioural therapy (iCBT). This approach translates traditional CBT techniques into an online format, typically involving structured modules that users complete at their own pace. Research has demonstrated that iCBT can be as effective as face-to-face therapy for conditions such as depression and anxiety. The self-paced nature of iCBT allows users to process information according to their individual learning styles and emotional readiness. Furthermore, the ability to revisit materials reinforces learning and helps consolidate therapeutic gains. Studies using neuroimaging techniques have shown that iCBT can produce similar changes in brain activity patterns as traditional therapy, particularly in regions associated with emotional regulation.

B. Gamification represents another innovative approach to digital mental health intervention. By incorporating game elements such as points, levels, and rewards, these interventions enhance user engagement and motivation. The psychological principle behind gamification is that it activates the brain’s reward system, releasing dopamine and creating positive associations with therapeutic activities. Research indicates that gamified mental health apps have higher retention rates compared to non-gamified alternatives. However, critics argue that excessive focus on rewards might undermine intrinsic motivation and lead to superficial engagement with therapeutic content.

C. Virtual reality (VR) technology is emerging as a particularly promising tool for treating conditions such as post-traumatic stress disorder (PTSD) and phobias. VR exposure therapy allows patients to confront feared situations in a controlled, safe environment. The immersive nature of VR creates realistic scenarios that activate the same neural pathways as real-world experiences, but without the associated risks. Studies have shown that VR exposure therapy can produce rapid reductions in symptom severity, with effects comparable to traditional exposure therapy. The technology also offers precise control over exposure parameters, allowing therapists to tailor interventions to individual patients’ needs and tolerance levels.

D. The role of biofeedback in digital mental health interventions has also garnered attention. Biofeedback devices provide users with real-time information about physiological states such as heart rate variability, skin conductance, and brain wave patterns. This immediate feedback helps users develop awareness of their stress responses and learn techniques to modulate them. The operant conditioning principles underlying biofeedback are well-established in psychology; by providing reinforcement for desired physiological changes, these interventions help users develop greater control over their autonomic nervous system. Recent advances in sensor technology have made biofeedback more accessible through consumer-grade devices, though questions remain about their accuracy compared to clinical-grade equipment.

E. Machine learning algorithms are increasingly being used to personalize mental health interventions. These algorithms analyze user data to identify patterns and predict which interventions are likely to be most effective for specific individuals. This data-driven approach represents a shift from one-size-fits-all interventions to precision mental healthcare. For example, algorithms can determine the optimal timing for delivering therapeutic content based on an individual’s daily routines and mood fluctuations. However, the use of machine learning in mental healthcare raises important ethical considerations regarding data privacy and algorithmic bias. Researchers emphasize the need for transparent systems that can be audited to ensure they do not perpetuate existing healthcare disparities.

F. Despite the promising evidence, several limitations of digital mental health interventions must be acknowledged. Dropout rates remain a concern, with many users abandoning apps and programs before completing them. The digital divide also means that these interventions may not reach populations with limited access to technology or insufficient digital literacy. Additionally, while digital interventions may be effective for mild to moderate mental health concerns, they may not provide adequate support for individuals with severe conditions who require intensive treatment. The therapeutic alliance between patient and provider, which is crucial for successful treatment outcomes, can be more challenging to establish in digital contexts.

Current research is focusing on hybrid models that combine digital and traditional interventions to maximize benefits while mitigating limitations. These blended approaches might involve using digital tools between in-person therapy sessions to reinforce learning and maintain momentum. Preliminary studies suggest that such integrated models may produce superior outcomes compared to either approach alone, though more longitudinal research is needed to confirm these findings and identify the most effective integration strategies.

Questions 14-20

The passage has seven paragraphs, A-F.

Which paragraph contains the following information?

Write the correct letter, A-F.

14. A description of how digital tools can be tailored to individual users’ schedules and moods
15. Discussion of concerns about people stopping use of digital mental health tools
16. Explanation of how brain imaging shows effects similar to traditional therapy
17. Information about technology that creates safe simulations of frightening situations
18. Details about devices that show users information about their body’s stress reactions
19. A discussion of how game-like features affect user participation
20. Mention of combining different types of treatment approaches

Questions 21-24

Complete the summary below.

Choose NO MORE THAN TWO WORDS from the passage for each answer.

Internet-delivered cognitive behavioural therapy (iCBT) has been shown to be equally effective as traditional therapy. Users can work through the materials at their own 21. __, which helps them learn according to their personal preferences. Brain scanning technology has revealed that iCBT produces comparable 22. __ in brain activity to conventional treatment methods. Gamification adds elements like points and rewards to mental health apps, which stimulates the brain’s 23. __ and increases user involvement. However, some researchers worry that too much emphasis on external rewards could damage users’ 24. __ to engage meaningfully with the therapeutic activities.

Questions 25-26

Choose TWO letters, A-E.

Which TWO limitations of digital mental health interventions are mentioned in the passage?

A. They are too expensive for most people
B. Many users stop using them before finishing
C. They require advanced technology skills
D. They work better than traditional therapy
E. Some people lack access to necessary technology

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PASSAGE 3 – Ethical, Social, and Regulatory Challenges in Digital Mental Health

Độ khó: Hard (Band 7.0-9.0)

Thời gian đề xuất: 23-25 phút

The rapid expansion of digital mental health technologies has outpaced the development of appropriate regulatory frameworks and ethical guidelines, creating a complex landscape fraught with potential risks alongside considerable benefits. As these technologies become increasingly sophisticated and ubiquitous, stakeholders including clinicians, developers, regulators, and patients themselves must grapple with multifaceted questions concerning data privacy, clinical efficacy, algorithmic transparency, and equitable access. The intersection of technology, healthcare, and commerce in this domain necessitates careful consideration of how to maximize therapeutic value while safeguarding vulnerable individuals.

The issue of data privacy represents perhaps the most pressing concern in digital mental health. Mental health information is among the most sensitive personal data, and its unauthorized disclosure can have devastating consequences for individuals. Many digital mental health applications collect extensive data about users’ thoughts, emotions, behaviours, and social connections—information that, if compromised, could be used for discrimination in employment, insurance, or social contexts. While regulations such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe provide some protection, these frameworks were designed primarily for traditional healthcare settings and may not adequately address the unique challenges posed by digital mental health technologies.

Particularly problematic is the business model employed by many mental health apps, which often involves monetizing user data through targeted advertising or selling anonymized datasets to third parties. A 2019 study examining 36 popular mental health apps found that the majority shared user data with external parties, including advertising networks and analytics companies, often without explicit user consent or adequate transparency about data practices. This commodification of mental health data raises fundamental questions about whether commercial interests can be aligned with patient welfare, or whether they are inherently in tension. Some scholars argue for a complete prohibition on the commercial use of mental health data, while others contend that such restrictions would stifle innovation and reduce the financial viability of developing these technologies.

The clinical validation of digital mental health interventions presents another significant challenge. Unlike pharmaceutical drugs, which must undergo rigorous testing through randomized controlled trials before regulatory approval, most mental health apps face minimal scrutiny before reaching consumers. The app stores through which these applications are distributed impose few quality standards, and consumers often lack the expertise to evaluate the scientific basis of these tools. This regulatory gap has allowed numerous apps with dubious efficacy to proliferate, potentially causing harm by delaying appropriate treatment or providing misleading information. Professional organizations have begun developing certification schemes and evidence-based directories to help consumers identify high-quality apps, but these efforts remain fragmented and have achieved limited penetration in the marketplace.

The opacity of algorithmic decision-making in mental health technologies raises additional ethical concerns. Many contemporary digital interventions employ machine learning algorithms that make recommendations or predictions based on patterns in user data. However, the “black box” nature of many algorithms means that even their creators cannot fully explain how specific outputs are generated. This lack of transparency becomes ethically problematic when algorithmic decisions have significant implications for individuals’ mental health care. If an algorithm determines that a user is at high risk for suicide, for instance, what interventions should follow? How do we ensure that such algorithms do not embed biases related to race, gender, or socioeconomic status that could lead to differential treatment of vulnerable groups?

The concept of “algorithmic justice” in mental healthcare demands that these systems be explainable, auditable, and accountable. Some researchers advocate for “explainable AI” approaches that prioritize transparency over predictive accuracy, arguing that clinicians and patients have a right to understand the basis for algorithmic recommendations. Others contend that the superior performance of complex algorithms justifies some sacrifice of interpretability, provided that rigorous validation demonstrates their effectiveness and fairness. The European Union’s regulatory approach, which includes a “right to explanation” for algorithmic decisions, represents one attempt to balance these competing concerns, though its implementation remains challenging in practice.

Equity of access constitutes yet another dimension of the ethical landscape surrounding digital mental health. While these technologies are often championed as solutions to access barriers in mental healthcare, they may paradoxically exacerbate existing health disparities. The digital divide—disparities in access to technology based on income, geography, age, and other factors—means that digital mental health interventions may primarily benefit already-privileged populations while remaining inaccessible to those with the greatest need. Furthermore, many digital interventions are developed and tested primarily with demographically homogeneous populations, raising questions about their cultural appropriateness and effectiveness for diverse groups. The linguistic and cultural assumptions embedded in these technologies may render them less effective or even counterproductive for individuals from non-dominant cultural backgrounds.

The therapeutic relationship, long considered central to mental health treatment, undergoes fundamental transformation in digital contexts. Traditional psychotherapy relies on the human connection between therapist and client, with research consistently demonstrating that the strength of this therapeutic alliance predicts treatment outcomes. Digital interventions, particularly those that are fully automated, eliminate or substantially reduce this human element. While some evidence suggests that automated interventions can be effective for certain conditions, questions remain about whether they can replicate the nuanced empathy and attunement that characterize effective human relationships. Some theorists argue that the affordances of digital technology—such as the ability to access support asynchronously or anonymously—may create novel forms of therapeutic relationships rather than merely diminishing existing ones.

Looking forward, the field requires comprehensive governance frameworks that span multiple levels—from international standards to platform-specific policies. Such frameworks must balance the imperative to protect individuals from harm with the need to foster innovation that could improve mental health outcomes. Stakeholder collaboration will be essential, bringing together technologists, clinicians, patients, ethicists, and policymakers to develop standards that are simultaneously protective and enabling. Some scholars propose “regulatory sandboxes” that allow experimental technologies to be deployed under close supervision, generating evidence about their effects while limiting potential harms. Others advocate for adaptive governance models that can evolve rapidly in response to technological change, rather than static regulations that quickly become obsolete.

Ultimately, the trajectory of digital mental health will be shaped not only by technological capabilities but by collective choices about values and priorities. The challenge is to harness the transformative potential of technology while preserving the human dimensions of mental healthcare and ensuring that benefits are distributed equitably across society.

Questions 27-31

Choose the correct letter, A, B, C or D.

27. According to the passage, data privacy in digital mental health is particularly concerning because

    • A. all mental health apps are expensive
    • B. mental health information is extremely sensitive
    • C. users always refuse to share their data
    • D. technology companies respect privacy laws

28. The passage suggests that HIPAA and GDPR regulations

    • A. completely solve all privacy problems
    • B. were specifically designed for mental health apps
    • C. may not fully address digital mental health challenges
    • D. are identical in their approach to data protection

29. The 2019 study mentioned in the passage found that many mental health apps

    • A. never collected any user data
    • B. shared data with external parties without proper transparency
    • C. always obtained explicit consent before data sharing
    • D. were completely free from advertising

30. The passage indicates that most mental health apps currently

    • A. undergo the same testing as pharmaceutical drugs
    • B. face minimal regulatory scrutiny before release
    • C. are certified by professional organizations
    • D. provide guaranteed treatment outcomes

31. The concept of “explainable AI” in mental healthcare refers to

    • A. algorithms that prioritize transparency
    • B. systems that are always 100% accurate
    • C. technology that replaces human therapists
    • D. apps that are free to download

Questions 32-36

Complete the summary using the list of phrases, A-J, below.

The expansion of digital mental health has created numerous challenges. One major issue is the 32. __ employed by many apps, which often involves selling user data to advertisers. This raises concerns about whether 33. __ can be compatible with patient welfare. Another problem is the lack of 34. __ for most mental health apps, unlike pharmaceutical drugs which must pass rigorous trials. The 35. __ of many algorithms means that even their developers cannot fully explain how decisions are made. Additionally, the 36. __ may mean that digital interventions primarily help already-privileged populations rather than those most in need.

A. clinical validation
B. therapeutic relationship
C. commercial interests
D. business model
E. digital divide
F. regulatory framework
G. opacity
H. algorithmic justice
I. stakeholder collaboration
J. cultural appropriateness

Questions 37-40

Do the following statements agree with the claims of the writer in the passage?

Write:

• YES if the statement agrees with the claims of the writer
• NO if the statement contradicts the claims of the writer
• NOT GIVEN if it is impossible to say what the writer thinks about this

37. The therapeutic relationship in traditional psychotherapy has been shown to influence treatment success.
38. Automated digital interventions are always less effective than human therapy.
39. Regulatory sandboxes could allow new technologies to be tested while minimizing risks.
40. The future of digital mental health depends entirely on technological development rather than social choices.

Hình minh họa công nghệ số hỗ trợ sức khỏe tâm thần trong bài thi IELTS Reading

3. Answer Keys – Đáp Án

PASSAGE 1: Questions 1-13

1. FALSE
2. TRUE
3. TRUE
4. NOT GIVEN
5. TRUE
6. FALSE
7. reminder functions
8. mobility issues
9. breathing exercises
10. mental health literacy
11. B
12. B
13. C

PASSAGE 2: Questions 14-26

14. E
15. F
16. A
17. C
18. D
19. B
20. F (có thể chấp nhận paragraph cuối – không đánh số)
21. pace
22. changes
23. reward system
24. intrinsic motivation
25. B
26. E

PASSAGE 3: Questions 27-40

27. B
28. C
29. B
30. B
31. A
32. D
33. C
34. A
35. G
36. E
37. YES
38. NOT GIVEN
39. YES
40. NO

4. Giải Thích Đáp Án Chi Tiết

Passage 1 – Giải Thích

Câu 1: FALSE

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: Traditional mental health services, easily accessible, everyone
• Vị trí trong bài: Đoạn 1, dòng 2-3
• Giải thích: Bài đọc nói rõ “Traditional mental health services have often been constrained by geographical barriers, long waiting lists, and the stigma” – các dịch vụ truyền thống bị hạn chế bởi nhiều rào cản, do đó câu khẳng định “luôn dễ tiếp cận với mọi người” là sai.

Câu 2: TRUE

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: Smartphone apps, any time
• Vị trí trong bài: Đoạn 2, dòng 3-4
• Giải thích: Bài viết đề cập “Users can access these resources at any time” – người dùng có thể truy cập bất cứ lúc nào, khớp hoàn toàn với câu hỏi.

Câu 3: TRUE

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: Teletherapy, more common, COVID-19 pandemic
• Vị trí trong bài: Đoạn 3, dòng 6-7
• Giải thích: “The COVID-19 pandemic greatly accelerated the adoption of teletherapy” – đại dịch đã thúc đẩy việc sử dụng teletherapy, đồng nghĩa với việc nó trở nên phổ biến hơn.

Câu 4: NOT GIVEN

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: Online support communities, always, completely safe
• Vị trí trong bài: Đoạn 4
• Giải thích: Bài chỉ đề cập “Many platforms moderate these communities to ensure they remain safe and supportive environments” – có điều tiết để đảm bảo an toàn, nhưng không khẳng định chúng “luôn luôn hoàn toàn an toàn”.

Câu 5: TRUE

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: Wearable devices, measure, heart rate, sleep patterns
• Vị trí trong bài: Đoạn 5, dòng 2-3
• Giải thích: “Devices such as smartwatches can track physiological indicators like heart rate, sleep patterns, and activity levels” – thiết bị đeo có thể theo dõi nhịp tim và giấc ngủ.

Câu 6: FALSE

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: AI chatbots, completely replace, human therapists, all situations
• Vị trí trong bài: Đoạn 6, dòng 4-5
• Giải thích: “While these chatbots cannot replace human therapists” – bài viết khẳng định chatbot không thể thay thế nhà trị liệu, do đó câu này sai.

Câu 7: reminder functions

• Dạng câu hỏi: Sentence Completion
• Từ khóa: mental health apps, help users remember, wellness routines
• Vị trí trong bài: Đoạn 2, dòng 5
• Giải thích: “Many apps also include reminder functions that encourage users to engage regularly” – các ứng dụng có chức năng nhắc nhở.

Câu 8: mobility issues

• Dạng câu hỏi: Sentence Completion
• Từ khóa: Teletherapy, helpful, difficult to travel
• Vị trí trong bài: Đoạn 3, dòng 3-4
• Giải thích: “This is particularly beneficial for people living in rural areas or those with mobility issues” – đặc biệt hữu ích cho người có vấn đề về di chuyển.

Câu 9: breathing exercises

• Dạng câu hỏi: Sentence Completion
• Từ khóa: Wearable technology, detect stress, suggest, calm down
• Vị trí trong bài: Đoạn 5, dòng 4-5
• Giải thích: “Some devices can detect signs of stress or anxiety and prompt users to take calming actions, such as breathing exercises” – thiết bị gợi ý bài tập thở.

Câu 10: mental health literacy

• Dạng câu hỏi: Sentence Completion
• Từ khóa: Educational technology, increase, mental health topics
• Vị trí trong bài: Đoạn 7, dòng 1
• Giải thích: “Educational technology has made mental health literacy more widespread” – công nghệ giáo dục tăng hiểu biết về sức khỏe tâm thần.

Câu 11: B

• Dạng câu hỏi: Multiple Choice
• Giải thích: Đáp án B đúng vì đoạn 2 nói rõ “These apps offer a wide range of features, from mood tracking and meditation guides to cognitive behavioural therapy (CBT) exercises”. Các đáp án khác không được đề cập hoặc sai với nội dung bài.

Câu 12: B

• Dạng câu hỏi: Multiple Choice
• Giải thích: Đáp án B đúng vì bài viết nhấn mạnh “eliminating the need for physical travel to appointments” là ưu điểm chính. Chi phí, hiệu quả điều trị không được so sánh trực tiếp.

Câu 13: C

• Dạng câu hỏi: Multiple Choice
• Giải thích: Đáp án C đúng vì đoạn cuối nói “technology should complement, not replace, traditional mental healthcare” và “digital and traditional services work together” – công nghệ nên đi cùng với dịch vụ truyền thống.

Passage 2 – Giải Thích

Câu 14: E

• Dạng câu hỏi: Matching Information
• Từ khóa: tailored, individual users’ schedules, moods
• Giải thích: Paragraph E nói về machine learning algorithms có thể “determine the optimal timing for delivering therapeutic content based on an individual’s daily routines and mood fluctuations” – tùy chỉnh theo lịch trình và tâm trạng cá nhân.

Câu 15: F

• Dạng câu hỏi: Matching Information
• Từ khóa: concerns, stopping use, digital mental health tools
• Giải thích: Paragraph F đề cập “Dropout rates remain a concern, with many users abandoning apps and programs” – lo ngại về việc người dùng bỏ dở.

Câu 16: A

• Dạng câu hỏi: Matching Information
• Từ khóa: brain imaging, effects similar, traditional therapy
• Giải thích: Paragraph A nói “Studies using neuroimaging techniques have shown that iCBT can produce similar changes in brain activity patterns as traditional therapy” – hình ảnh não bộ cho thấy hiệu ứng tương tự.

Câu 17: C

• Dạng câu hỏi: Matching Information
• Từ khóa: technology, safe simulations, frightening situations
• Giải thích: Paragraph C mô tả VR exposure therapy “allows patients to confront feared situations in a controlled, safe environment” – mô phỏng an toàn các tình huống đáng sợ.

Câu 18: D

• Dạng câu hỏi: Matching Information
• Từ khóa: devices, show users information, body’s stress reactions
• Giải thích: Paragraph D giải thích “Biofeedback devices provide users with real-time information about physiological states” – thiết bị cung cấp thông tin về phản ứng sinh lý/căng thẳng.

Câu 19: B

• Dạng câu hỏi: Matching Information
• Từ khóa: game-like features, user participation
• Giải thích: Paragraph B thảo luận về gamification và cách nó “enhance user engagement” – các tính năng giống game tăng sự tham gia.

Câu 20: F

• Dạng câu hỏi: Matching Information
• Từ khóa: combining different types, treatment approaches
• Giải thích: Paragraph cuối (sau F) hoặc có thể hiểu là phần kết của F đề cập “hybrid models that combine digital and traditional interventions” – kết hợp các phương pháp điều trị khác nhau.

Câu 21: pace

• Dạng câu hỏi: Summary Completion
• Vị trí: Paragraph A, “structured modules that users complete at their own pace”

Câu 22: changes

• Dạng câu hỏi: Summary Completion
• Vị trí: Paragraph A, “produce similar changes in brain activity patterns”

Câu 23: reward system

• Dạng câu hỏi: Summary Completion
• Vị trí: Paragraph B, “activates the brain’s reward system”

Câu 24: intrinsic motivation

• Dạng câu hỏi: Summary Completion
• Vị trí: Paragraph B, “excessive focus on rewards might undermine intrinsic motivation”

Câu 25-26: B và E

• Dạng câu hỏi: Multiple Choice (choose TWO)
• Giải thích: Paragraph F đề cập hai hạn chế: “Dropout rates remain a concern, with many users abandoning apps” (B đúng) và “The digital divide also means that these interventions may not reach populations with limited access to technology” (E đúng).

Passage 3 – Giải Thích

Câu 27: B

• Dạng câu hỏi: Multiple Choice
• Giải thích: Đoạn 2 khẳng định “Mental health information is among the most sensitive personal data, and its unauthorized disclosure can have devastating consequences” – thông tin sức khỏe tâm thần cực kỳ nhạy cảm.

Câu 28: C

• Dạng câu hỏi: Multiple Choice
• Giải thích: Bài viết nói các quy định này “may not adequately address the unique challenges posed by digital mental health technologies” – có thể không giải quyết đầy đủ các thách thức.

Câu 29: B

• Dạng câu hỏi: Multiple Choice
• Giải thích: Nghiên cứu 2019 phát hiện “the majority shared user data with external parties…often without explicit user consent or adequate transparency” – chia sẻ dữ liệu thiếu minh bạch.

Câu 30: B

• Dạng câu hỏi: Multiple Choice
• Giải thích: Bài viết chỉ ra “most mental health apps face minimal scrutiny before reaching consumers” – hầu hết ứng dụng có sự giám sát tối thiểu.

Câu 31: A

• Dạng câu hỏi: Multiple Choice
• Giải thích: “Explainable AI” được mô tả là “approaches that prioritize transparency over predictive accuracy” – ưu tiên tính minh bạch.

Câu 32-36: D, C, A, G, E

• Dạng câu hỏi: Summary Completion with word bank
• Giải thích:
  • 32 (D): “business model employed by many apps”
  • 33 (C): “whether commercial interests can be aligned with patient welfare”
  • 34 (A): “lack of clinical validation for most mental health apps”
  • 35 (G): “The opacity of algorithmic decision-making”
  • 36 (E): “The digital divide may mean…”

Câu 37: YES

• Dạng câu hỏi: Yes/No/Not Given
• Giải thích: Bài viết khẳng định “research consistently demonstrating that the strength of this therapeutic alliance predicts treatment outcomes” – tác giả đồng ý mối quan hệ trị liệu ảnh hưởng đến thành công.

Câu 38: NOT GIVEN

• Dạng câu hỏi: Yes/No/Not Given
• Giải thích: Bài viết nói “some evidence suggests that automated interventions can be effective” nhưng không khẳng định chúng “luôn luôn” kém hiệu quả hơn. Còn câu hỏi về hiệu quả tuyệt đối.

Câu 39: YES

• Dạng câu hỏi: Yes/No/Not Given
• Giải thích: Tác giả đề cập “regulatory sandboxes that allow experimental technologies to be deployed under close supervision, generating evidence about their effects while limiting potential harms” – đồng ý với ý kiến này.

Câu 40: NO

• Dạng câu hỏi: Yes/No/Not Given
• Giải thích: Câu cuối bài nói “the trajectory of digital mental health will be shaped not only by technological capabilities but by collective choices about values and priorities” – tương lai phụ thuộc cả vào lựa chọn xã hội, không chỉ công nghệ, do đó câu này mâu thuẫn với quan điểm tác giả.

Chiến lược làm bài IELTS Reading hiệu quả với công nghệ sức khỏe tâm thần

5. Từ Vựng Quan Trọng Theo Passage

Passage 1 – Essential Vocabulary

Từ vựng	Loại từ	Phiên âm	Nghĩa tiếng Việt	Ví dụ từ bài	Collocation
landscape	n	/ˈlændskeɪp/	bối cảnh, toàn cảnh	“The landscape of mental healthcare has undergone remarkable changes”	healthcare landscape, digital landscape
integration	n	/ˌɪntɪˈɡreɪʃn/	sự tích hợp, hội nhập	“integration of technology into treatment systems”	technology integration, system integration
constrained	adj	/kənˈstreɪnd/	bị hạn chế, bị ràng buộc	“services have often been constrained by geographical barriers”	constrained by, feel constrained
stigma	n	/ˈstɪɡmə/	sự kỳ thị, nhãn hiệu xấu	“the stigma associated with seeking help”	social stigma, reduce stigma
accessible	adj	/əkˈsesəbl/	có thể tiếp cận, dễ tiếp cận	“making mental health support more accessible”	easily accessible, readily accessible
mood tracking	n phrase	/muːd ˈtrækɪŋ/	theo dõi tâm trạng	“features from mood tracking and meditation guides”	mood tracking app, daily mood tracking
cognitive behavioural therapy	n phrase	/ˈkɒɡnətɪv bɪˈheɪvjərəl ˈθerəpi/	liệu pháp nhận thức hành vi	“cognitive behavioural therapy (CBT) exercises”	CBT techniques, CBT treatment
teletherapy	n	/ˈtelɪθerəpi/	trị liệu từ xa	“Teletherapy platforms represent another significant advancement”	teletherapy session, teletherapy platform
physiological	adj	/ˌfɪziəˈlɒdʒɪkl/	thuộc về sinh lý	“track physiological indicators like heart rate”	physiological response, physiological changes
proactive	adj	/prəʊˈæktɪv/	chủ động, tích cực	“take proactive steps to manage it”	proactive approach, be proactive
comprehensive	adj	/ˌkɒmprɪˈhensɪv/	toàn diện, bao quát	“create a comprehensive mental health ecosystem”	comprehensive approach, comprehensive care
complement	v	/ˈkɒmplɪment/	bổ sung, làm hoàn thiện	“technology should complement, not replace”	complement each other, complement traditional methods

Passage 2 – Essential Vocabulary

Từ vựng	Loại từ	Phiên âm	Nghĩa tiếng Việt	Ví dụ từ bài	Collocation
proliferation	n	/prəˌlɪfəˈreɪʃn/	sự gia tăng nhanh chóng	“The proliferation of digital mental health interventions”	rapid proliferation, nuclear proliferation
efficacy	n	/ˈefɪkəsi/	hiệu quả, hiệu lực	“investigate their efficacy and underlying mechanisms”	clinical efficacy, treatment efficacy
rigorous	adj	/ˈrɪɡərəs/	nghiêm ngặt, chặt chẽ	“requires rigorous scientific inquiry”	rigorous testing, rigorous standards
neurobiological	adj	/ˌnjʊərəʊbaɪəˈlɒdʒɪkl/	thuộc thần kinh sinh học	“neurobiological and psychological processes”	neurobiological mechanisms, neurobiological research
structured modules	n phrase	/ˈstrʌktʃəd ˈmɒdjuːlz/	các mô-đun có cấu trúc	“involving structured modules that users complete”	structured learning, modular approach
consolidate	v	/kənˈsɒlɪdeɪt/	củng cố, hợp nhất	“helps consolidate therapeutic gains”	consolidate knowledge, consolidate position
gamification	n	/ˌɡeɪmɪfɪˈkeɪʃn/	trò chơi hóa	“Gamification represents another innovative approach”	gamification strategy, gamification elements
retention rate	n phrase	/rɪˈtenʃn reɪt/	tỷ lệ giữ chân (người dùng)	“gamified apps have higher retention rates”	customer retention, retention strategy
immersive	adj	/ɪˈmɜːsɪv/	đắm chìm, nhập vai	“The immersive nature of VR”	immersive experience, immersive technology
biofeedback	n	/ˈbaɪəʊfiːdbæk/	phản hồi sinh học	“The role of biofeedback in digital interventions”	biofeedback training, biofeedback device
modulate	v	/ˈmɒdjuleɪt/	điều chỉnh, điều biến	“learn techniques to modulate them”	modulate response, modulate tone
operant conditioning	n phrase	/ˈɒpərənt kənˈdɪʃənɪŋ/	điều kiện hóa tác động	“operant conditioning principles underlying biofeedback”	conditioning principles, behavioral conditioning
personalize	v	/ˈpɜːsənəlaɪz/	cá nhân hóa	“Machine learning algorithms are used to personalize”	personalize experience, personalized treatment
algorithmic bias	n phrase	/ˌælɡəˈrɪðmɪk ˈbaɪəs/	thiên kiến thuật toán	“ethical considerations regarding algorithmic bias”	address bias, eliminate bias
therapeutic alliance	n phrase	/ˌθerəˈpjuːtɪk əˈlaɪəns/	liên minh trị liệu	“therapeutic alliance between patient and provider”	strong alliance, build alliance

Passage 3 – Essential Vocabulary

Từ vựng	Loại từ	Phiên âm	Nghĩa tiếng Việt	Ví dụ từ bài	Collocation
outpaced	v	/aʊtˈpeɪst/	vượt qua về tốc độ	“has outpaced the development of regulatory frameworks”	outpace growth, outpace competitors
fraught with	adj phrase	/frɔːt wɪð/	đầy rẫy, chất chứa	“a complex landscape fraught with potential risks”	fraught with danger, fraught with difficulty
ubiquitous	adj	/juːˈbɪkwɪtəs/	phổ biến khắp nơi	“increasingly sophisticated and ubiquitous”	ubiquitous technology, ubiquitous presence
grapple with	v phrase	/ˈɡræpl wɪð/	vật lộn với, đối phó với	“stakeholders must grapple with multifaceted questions”	grapple with issues, grapple with problems
multifaceted	adj	/ˌmʌltiˈfæsɪtɪd/	nhiều khía cạnh	“multifaceted questions concerning data privacy”	multifaceted approach, multifaceted problem
unauthorized disclosure	n phrase	/ʌnˈɔːθəraɪzd dɪsˈkləʊʒə/	tiết lộ trái phép	“unauthorized disclosure can have devastating consequences”	prevent disclosure, unauthorized access
commodification	n	/kəˌmɒdɪfɪˈkeɪʃn/	sự biến thành hàng hóa	“This commodification of mental health data”	commodification of data, resist commodification
stifle	v	/ˈstaɪfl/	kìm hãm, ngăn cản	“such restrictions would stifle innovation”	stifle creativity, stifle growth
scrutiny	n	/ˈskruːtəni/	sự xem xét kỹ lưỡng	“most apps face minimal scrutiny”	close scrutiny, under scrutiny
dubious	adj	/ˈdjuːbiəs/	đáng ngờ, không chắc chắn	“apps with dubious efficacy”	dubious claim, dubious quality
opacity	n	/əʊˈpæsəti/	sự mờ đục, thiếu minh bạch	“The opacity of algorithmic decision-making”	opacity of systems, lack of opacity
black box	n phrase	/blæk bɒks/	hộp đen (không thể hiểu cách hoạt động)	“the ‘black box’ nature of many algorithms”	black box approach, black box system
embed	v	/ɪmˈbed/	nhúng vào, cài vào	“algorithms do not embed biases”	embed values, deeply embedded
exacerbate	v	/ɪɡˈzæsəbeɪt/	làm trầm trọng thêm	“may paradoxically exacerbate existing health disparities”	exacerbate problems, exacerbate situation
disparity	n	/dɪˈspærəti/	sự chênh lệch, bất bình đẳng	“disparities in access to technology”	health disparities, income disparity
affordances	n	/əˈfɔːdənsɪz/	khả năng, tính năng	“the affordances of digital technology”	technological affordances, design affordances
asynchronously	adv	/eɪˈsɪŋkrənəsli/	không đồng bộ	“access support asynchronously”	communicate asynchronously, work asynchronously
governance framework	n phrase	/ˈɡʌvənəns ˈfreɪmwɜːk/	khung quản trị	“comprehensive governance frameworks”	regulatory framework, governance structure
regulatory sandbox	n phrase	/ˈreɡjələtəri ˈsændbɒks/	hộp cát quy định (môi trường thử nghiệm)	“regulatory sandboxes that allow experimental technologies”	sandbox approach, regulatory environment
trajectory	n	/trəˈdʒektəri/	quỹ đạo, xu hướng phát triển	“the trajectory of digital mental health”	development trajectory, future trajectory

Kết bài

Chủ đề vai trò của công nghệ trong cải thiện kết quả sức khỏe tâm thần không chỉ phản ánh xu hướng phát triển của xã hội hiện đại mà còn là một trong những chủ đề thường xuyên xuất hiện trong đề thi IELTS Reading. Qua bài thi mẫu này, bạn đã được trải nghiệm đầy đủ ba passages với độ khó tăng dần, từ Easy đến Medium và Hard, giúp bạn làm quen với cấu trúc thực tế của kỳ thi.

Đề thi bao gồm 40 câu hỏi với bảy dạng khác nhau – từ True/False/Not Given, Yes/No/Not Given, Multiple Choice, Matching Information, Matching Headings đến Summary Completion và Sentence Completion. Sự đa dạng này giúp bạn rèn luyện toàn diện các kỹ năng đọc hiểu cần thiết, từ tìm kiếm thông tin chi tiết, hiểu ý chính đến phân tích và suy luận.

Phần đáp án chi tiết kèm theo giải thích cụ thể về vị trí thông tin, cách paraphrase và lý do tại sao đáp án đúng sẽ giúp bạn tự đánh giá chính xác năng lực của mình. Đặc biệt, bảng từ vựng được phân loại theo từng passage với phiên âm, nghĩa tiếng Việt, ví dụ và collocations sẽ giúp bạn xây dựng vốn từ vựng học thuật vững chắc.

Hãy luyện tập với đề thi này nhiều lần, chú ý đến thời gian và phát triển chiến lược làm bài phù hợp với bản thân. Đừng quên rằng IELTS Reading không chỉ đánh giá khả năng hiểu tiếng Anh mà còn đánh giá kỹ năng quản lý thời gian và tư duy phân tích. Chúc bạn ôn tập hiệu quả và đạt được band điểm mong muốn trong kỳ thi IELTS sắp tới!