Evidence map›Paper›PMID 36310920›Full record

ArticleFrontiers in digital health2022

Virtual conversational agents versus online forms: Patient experience and preferences for health data collection.

Hiral Soni, Julia Ivanova, Hattie Wilczewski, Alexandra Bailey, Triton Ong, Alexa Narma, Brian E Bunnell, Brandon M Welch

Abstract read
In one paragraph

Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hiral SoniDoxy.me Research, Doxy.me Inc., Rochester, NY, United States.
Julia IvanovaDoxy.me Research, Doxy.me Inc., Rochester, NY, United States.
Hattie WilczewskiDoxy.me Research, Doxy.me Inc., Rochester, NY, United States.
Alexandra BaileyDoxy.me Research, Doxy.me Inc., Rochester, NY, United States.
Triton OngDoxy.me Research, Doxy.me Inc., Rochester, NY, United States.
Alexa NarmaDoxy.me Research, Doxy.me Inc., Rochester, NY, United States.
Brian E BunnellDoxy.me Research, Doxy.me Inc., Rochester, NY, United States.
Brandon M WelchDoxy.me Research, Doxy.me Inc., Rochester, NY, United States.

Funding

Improving cancer family history collection through social networking and artificial intelligenceK07CA211786 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI WELCH, BRANDON M · 2016 to 2020
$867k
Improving adherence to evidence-based practice using an innovative and easy-to-use health IT solutionR41MH126734 · NIMH · ADHERE.LY, LLC · PI BUNNELL, BRIAN E. · 2021 to 2022
$837k
PRACTICE: A Mobile Health Solution to Improve Between-Session Skills Practice in Youth Mental Health TreatmentK23MH118482 · NIMH · UNIVERSITY OF SOUTH FLORIDA · PI BUNNELL, BRIAN E. · 2018 to 2021
$621k
Identifying hereditary cancer patients in low-resource community cancer settings using an innovative informatics solutionR41CA239867 · NCI · ITRUNSINMYFAMILY.COM, INC. · PI HUGHES-HALBERT, CHANITA A., WELCH, BRANDON M · 2019 to 2019
$300k
Improving data capture in clinical research using a chatbotR41LM013419 · NLM · DOKBOT, LLC · PI WELCH, BRANDON M · 2020 to 2020
$252k
NCI NIH HHS K07 CA211786NCI NIH HHS R41 CA239867NIMH NIH HHS K23 MH118482NIMH NIH HHS R41 MH126734NLM NIH HHS R41 LM013419
6 · The paper itself

Abstract

Objective: Virtual conversational agents, or chatbots, have emerged as a novel approach to health data collection. However, research on patient perceptions of chatbots in comparison to traditional online forms is sparse. This study aimed to compare and assess the experience of completing a health assessment using a chatbot vs. an online form. Methods: A counterbalanced, within-subject experimental design was used with participants recruited Results: A total of 391 participants were recruited, 185 of whom were excluded, resulting in a final sample size of 206 individuals. Most participants (69.9%) preferred the chatbot over the online form. Average Net Promoter Score was higher for the chatbot (NPS = 24) than the online form (NPS = 13) at a statistically significant level. System Usability Scale scores were also higher for the chatbot (i.e. 69.7 vs. 67.7), but this difference was not statistically significant. The chatbot took longer to complete but was perceived as conversational, interactive, and intuitive. The online form received favorable comments for its familiar survey-like interface. Conclusion: Our findings demonstrate that a chatbot provided superior engagement, intuitiveness, and interactivity despite increased completion time compared to online forms. Knowledge of patient preferences and barriers will inform future design and development of recommendations and best practice for chatbots for healthcare data collection.

Indexed as

chatbotshealth data collectionpatient experienceusabilityvirtual conversational agents

Identifiers

PMID36310920
PMCPMC9606606

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.