Mobile technology in medication adherence monitoring MCQs With Answer

Introduction

Mobile technology in medication adherence monitoring uses mHealth tools—smartphone apps, wearable sensors, electronic pillboxes, and ingestible sensors—to improve pharmacotherapy outcomes for B. Pharm students to understand. These systems enable real-time monitoring, automated reminders, data analytics, and telepharmacy integration to detect missed doses, measure adherence metrics (MPR, PDC), and support behavior change. Key topics include device connectivity (Bluetooth, NFC), interoperability (FHIR), data privacy and security (HIPAA/GDPR), clinical validation, and regulatory classification of software as a medical device. Understanding strengths, limitations, and ethical issues prepares future pharmacists to implement adherence monitoring effectively. Now let’s test your knowledge with 30 MCQs on this topic.

Q1. What is the primary goal of mobile technology in medication adherence monitoring?

  • To record drug manufacturing details
  • To improve and measure patients’ adherence to prescribed medications
  • To replace pharmacists in dispensing medications
  • To test new drug formulations

Correct Answer: To improve and measure patients’ adherence to prescribed medications

Q2. Which term best describes healthcare delivered or supported through mobile devices?

  • Telemetry
  • ePharmacy
  • mHealth
  • Bioinformatics

Correct Answer: mHealth

Q3. Which device is commonly used in mobile adherence monitoring to detect bottle openings?

  • Smart inhaler
  • Electronic pillbox
  • Wearable ECG monitor
  • Continuous glucose monitor

Correct Answer: Electronic pillbox

Q4. What role do wearable sensors play in adherence monitoring?

  • They synthesize new medications
  • They passively collect physiological or activity data to infer medication use
  • They replace clinical laboratory tests
  • They encrypt patient data for storage

Correct Answer: They passively collect physiological or activity data to infer medication use

Q5. Which advantage is associated with real-time adherence monitoring?

  • Guaranteed 100% adherence
  • Immediate detection of missed doses enabling timely intervention
  • Eliminates need for clinical follow-up
  • Removes requirement for patient consent

Correct Answer: Immediate detection of missed doses enabling timely intervention

Q6. Which metric calculates the proportion of days covered by medication over a time period?

  • Adherence Rate Index (ARI)
  • Medication Possession Ratio (MPR)
  • Proportion of Days Covered (PDC)
  • Clinical Compliance Score (CCS)

Correct Answer: Proportion of Days Covered (PDC)

Q7. Which wireless technology is most often used for short-range communication between mobile apps and adherence devices?

  • Satellite communication
  • Bluetooth
  • 4G cellular networks only
  • Zigbee for long-range

Correct Answer: Bluetooth

Q8. Near Field Communication (NFC) is particularly useful in adherence systems for:

  • Long-range telemetry between hospitals
  • Short-range data exchange and device pairing with smartphones
  • Analyzing blood samples remotely
  • Replacing encryption algorithms

Correct Answer: Short-range data exchange and device pairing with smartphones

Q9. Which regulation is commonly referenced for protecting patient health data in the United States?

  • GDPR
  • ISO 9001
  • HIPAA
  • FDA 21 CFR Part 210

Correct Answer: HIPAA

Q10. Mobile apps that provide adherence monitoring and clinical decision support may be regulated as:

  • Over-the-counter supplements
  • Software as a Medical Device (SaMD)
  • Medical waste
  • Generic drugs

Correct Answer: Software as a Medical Device (SaMD)

Q11. Which performance measures are important when validating an electronic adherence sensor?

  • Color and shape
  • Sensitivity and specificity for detecting medication-taking events
  • Number of users signed up
  • Price per unit

Correct Answer: Sensitivity and specificity for detecting medication-taking events

Q12. Which behavior change technique is most directly used by reminder functions in adherence apps?

  • Cognitive restructuring
  • Prompting and cueing
  • Pharmacokinetic modeling
  • Randomized allocation

Correct Answer: Prompting and cueing

Q13. What distinguishes passive from active adherence monitoring?

  • Passive requires patient input, active does not
  • Passive collects data without user action; active requires user interaction
  • Passive is only paper-based
  • Active uses cameras only

Correct Answer: Passive collects data without user action; active requires user interaction

Q14. Telepharmacy primarily differs from mobile adherence apps by focusing on:

  • Remote dispensing, counseling, and pharmacist-led clinical services
  • Only tracking pill bottle openings
  • Manufacturing medications remotely
  • Replacing clinical trials

Correct Answer: Remote dispensing, counseling, and pharmacist-led clinical services

Q15. Ingestible sensors detect medication ingestion by:

  • Measuring pill color changes in the stomach
  • Emitting a signal when the sensor is exposed to gastric fluids
  • Tracking finger taps on the phone
  • Using pharmacy dispensing records only

Correct Answer: Emitting a signal when the sensor is exposed to gastric fluids

Q16. Gamification in adherence apps is intended to:

  • Increase user engagement and motivation through rewards and challenges
  • Replace prescribed dosages with games
  • Provide clinical diagnostics only
  • Encrypt patient data using game algorithms

Correct Answer: Increase user engagement and motivation through rewards and challenges

Q17. Which interoperability standard is widely used to exchange clinical data between mobile apps and electronic health records?

  • HL7 FHIR
  • SMTP
  • JPEG
  • ICD-10 only

Correct Answer: HL7 FHIR

Q18. Who legally must typically provide informed consent for collection of adherence data in mobile systems?

  • The app developer
  • The patient or authorized representative
  • The device manufacturer exclusively
  • The pharmacy technician without patient knowledge

Correct Answer: The patient or authorized representative

Q19. A major patient-related barrier to adopting mobile adherence solutions is:

  • Unlimited battery life
  • Digital literacy and access to smartphones
  • Overabundance of clinical evidence
  • Excessive device interoperability

Correct Answer: Digital literacy and access to smartphones

Q20. How can machine learning improve medication adherence monitoring?

  • By manufacturing pills automatically
  • By predicting nonadherence risk and tailoring interventions
  • By replacing clinical judgment entirely
  • By preventing all adverse drug reactions

Correct Answer: By predicting nonadherence risk and tailoring interventions

Q21. Integrating adherence data with an electronic health record (EHR) primarily enables:

  • Removal of the pharmacist from the care team
  • Unified clinical decision-making and medication reconciliation
  • Automatic drug approvals
  • Increased medication prices

Correct Answer: Unified clinical decision-making and medication reconciliation

Q22. Which technical constraint commonly limits continuous monitoring by wearable adherence devices?

  • Surplus of storage space
  • Battery life and power consumption
  • Unlimited network bandwidth
  • Excessive device durability

Correct Answer: Battery life and power consumption

Q23. In clinical trials, mobile adherence monitoring can improve study quality by:

  • Eliminating the need for informed consent
  • Providing objective, time-stamped adherence data for analysis
  • Reducing the number of participants needed to zero
  • Automatically generating study protocols

Correct Answer: Providing objective, time-stamped adherence data for analysis

Q24. Strong medication adherence monitoring is expected to influence pharmacotherapy by:

  • Masking drug side effects
  • Improving therapeutic outcomes and reducing hospitalizations
  • Lowering the efficacy of drugs
  • Eliminating the need for dosing instructions

Correct Answer: Improving therapeutic outcomes and reducing hospitalizations

Q25. Escalation protocols in adherence systems refer to:

  • Increasing pill strength automatically
  • Steps for notifying clinicians or caregivers when nonadherence is detected
  • Upgrading app visual themes
  • Changing device battery types

Correct Answer: Steps for notifying clinicians or caregivers when nonadherence is detected

Q26. When assessing cost-effectiveness of mobile adherence tools, which outcome is most relevant?

  • Number of app downloads only
  • Healthcare utilization and clinical outcome improvements versus costs
  • Device color variety
  • Patent expiration date

Correct Answer: Healthcare utilization and clinical outcome improvements versus costs

Q27. Usability testing in adherence app development primarily evaluates:

  • Regulatory approval speed
  • How easily target users can learn and use the system
  • The app’s server physical location
  • Pharmacokinetic parameters

Correct Answer: How easily target users can learn and use the system

Q28. Which ethical concern is commonly raised about continuous adherence monitoring?

  • Surveillance, privacy invasion, and autonomy reduction
  • Inability to track any data
  • Guaranteed increased adherence for all patients
  • Elimination of pharmacist responsibilities

Correct Answer: Surveillance, privacy invasion, and autonomy reduction

Q29. Compared with electronic pill counts, a limitation of simple pill-count methods is:

  • They provide real-time ingestion confirmation
  • They cannot confirm actual ingestion at the time of dose
  • They always cost more than electronic systems
  • They are immune to manipulation

Correct Answer: They cannot confirm actual ingestion at the time of dose

Q30. Which future trend is likely to enhance mobile medication adherence monitoring?

  • Decreased sensor miniaturization
  • Integration of multimodal sensors, AI, and telehealth for personalized interventions
  • Complete reliance on paper records
  • Removal of network connectivity in devices

Correct Answer: Integration of multimodal sensors, AI, and telehealth for personalized interventions

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