"Alexa, Am I pregnant?": A content analysis of a virtual assistant's responses to prenatal health questions during the COVID-19 pandemic. Issue 3 (March 2021)
- Record Type:
- Journal Article
- Title:
- "Alexa, Am I pregnant?": A content analysis of a virtual assistant's responses to prenatal health questions during the COVID-19 pandemic. Issue 3 (March 2021)
- Main Title:
- "Alexa, Am I pregnant?": A content analysis of a virtual assistant's responses to prenatal health questions during the COVID-19 pandemic
- Authors:
- Schindler-Ruwisch, Jennifer
Palancia Esposito, Christa - Abstract:
- Highlights: Disruption in prenatal care is an opportunity to utilize mhealth to support patients. Amazon Alexa's responses were not credible in answering common pregnancy questions. Virtual assistants rendering evidence-based replies are valuable supplements to care. Virtual assistants, like Alexa, cannot replace consultations with health providers. Abstract: Objective: To elucidate whether Amazon's virtual assistant, Alexa, provides evidence-based support as a supplement to provider-facilitated prenatal care, during the COVID-19 pandemic. Methods: Using a conceptual content analysis approach, a query of 40 questions, relating to all phases of pregnancy, was collected from Alexa by two independent investigators, using two unique devices, over a one-week period between May 20, 2020 and May 27, 2020. Alexa's responses were matched to the evidence-based content from the American College of Obstetricians and Gynecologists (ACOG) and reviewed by a Certified Nurse Midwife for completeness and currency. Results: Of the 40 questions asked of Alexa, it was unable to answer 14 questions (35%). A total of 21 out of the 40 responses (52%) were not evidence-based and three COVID-specific questions (about 1%) were answered incorrectly or insufficiently. Four questions (10%) were answered accurately. Conclusion: Alexa was largely unable to provide evidence-based answers to commonly asked pregnancy questions and, in many cases, supplied inaccurate, incomplete, or completely unrelatedHighlights: Disruption in prenatal care is an opportunity to utilize mhealth to support patients. Amazon Alexa's responses were not credible in answering common pregnancy questions. Virtual assistants rendering evidence-based replies are valuable supplements to care. Virtual assistants, like Alexa, cannot replace consultations with health providers. Abstract: Objective: To elucidate whether Amazon's virtual assistant, Alexa, provides evidence-based support as a supplement to provider-facilitated prenatal care, during the COVID-19 pandemic. Methods: Using a conceptual content analysis approach, a query of 40 questions, relating to all phases of pregnancy, was collected from Alexa by two independent investigators, using two unique devices, over a one-week period between May 20, 2020 and May 27, 2020. Alexa's responses were matched to the evidence-based content from the American College of Obstetricians and Gynecologists (ACOG) and reviewed by a Certified Nurse Midwife for completeness and currency. Results: Of the 40 questions asked of Alexa, it was unable to answer 14 questions (35%). A total of 21 out of the 40 responses (52%) were not evidence-based and three COVID-specific questions (about 1%) were answered incorrectly or insufficiently. Four questions (10%) were answered accurately. Conclusion: Alexa was largely unable to provide evidence-based answers to commonly asked pregnancy questions and, in many cases, supplied inaccurate, incomplete, or completely unrelated answers that could further confuse health consumers. Practice Implications: Ensuring that mobile health (mhealth) tools, such as Amazon Alexa, are evidence-based and credible in answering common prenatal questions has important implications for this pandemic and future consumer needs. … (more)
- Is Part Of:
- Patient education and counseling. Volume 104:Issue 3(2021)
- Journal:
- Patient education and counseling
- Issue:
- Volume 104:Issue 3(2021)
- Issue Display:
- Volume 104, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 104
- Issue:
- 3
- Issue Sort Value:
- 2021-0104-0003-0000
- Page Start:
- 460
- Page End:
- 463
- Publication Date:
- 2021-03
- Subjects:
- Women's health -- Health promotion -- Maternal/infant health -- Reproductive health -- Technology -- Prenatal care
Patient education -- Periodicals
Health counseling -- Periodicals
Health education -- Periodicals
Counseling -- Periodicals
Patient Education -- Periodicals
Éducation des patients -- Périodiques
Counseling -- Périodiques
Éducation sanitaire -- Périodiques
615.5071 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07383991 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/07383991 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.pec.2020.12.026 ↗
- Languages:
- English
- ISSNs:
- 0738-3991
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6412.864600
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