Evidence map›Paper›PMID 31738171›Full record

ReviewJournal of medical Internet research2019

Conversational Interfaces for Health: Bibliometric Analysis of Grants, Publications, and Patents.

Zhaopeng Xing, Fei Yu, Jian Du, Jennifer S Walker, Claire B Paulson, Nandita S Mani, Lixin Song

Open access · goldAbstract readReview
In one paragraph

Review in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Contribution of Spanish Science to Patents: Medicine as Case of Study.International journal of environmental research and public health · 2020
    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

7 authors at 2 institutions in 2 countries.

Zhaopeng XingCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-3982-4299
Fei YuCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-1079-1590
Jian DuNational Institute of Health Data Science, Peking University, Beijing, China.ORCID 0000-0002-7621-9995
Jennifer S WalkerHealth Science Library, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-0248-2616
Claire B PaulsonCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-0737-5609
Nandita S ManiHealth Science Library, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-0955-1066
Lixin SongSchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0001-8286-319X
University of North Carolina at Chapel Hill · USPeking University · CN

Funding

Efficacy of a Couple-focused, Tailored, Symptom Self-Management mHealth Intervention for Prostate Cancer Patients and PartnersR01NR016990 · NINR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SONG, LIXIN · 2017 to 2021
$2.6M
Enhancing Survivorship Care Planning for Patients with Localized Prostate Cancer Using A Couple-focused Web-based Tailored Symptom Self-management ProgramR21CA212516 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SONG, LIXIN · 2017 to 2018
$364k
NCI NIH HHS R21 CA212516NINR NIH HHS R01 NR016990
6 · The paper itself

Abstract

backgroundConversational interfaces (CIs) in different modalities have been developed for health purposes, such as health behavioral intervention, patient self-management, and clinical decision support. Despite growing research evidence supporting CIs' potential, CI-related research is still in its infancy. There is a lack of systematic investigation that goes beyond publication review and presents the state of the art from perspectives of funding agencies, academia, and industry by incorporating CI-related public funding and patent activities.

objectiveThis study aimed to use data systematically extracted from multiple sources (ie, grant, publication, and patent databases) to investigate the development, research, and fund application of health-related CIs and associated stakeholders (ie, countries, organizations, and collaborators).

methodsA multifaceted search query was executed to retrieve records from 9 databases. Bibliometric analysis, social network analysis, and term co-occurrence analysis were conducted on the screened records.

resultsThis review included 42 funded projects, 428 research publications, and 162 patents. The total dollar amount of grants awarded was US $30,297,932, of which US $13,513,473 was awarded by US funding agencies and US $16,784,459 was funded by the Europe Commission. The top 3 funding agencies in the United States were the National Science Foundation, National Institutes of Health, and Agency for Healthcare Research and Quality. Boston Medical Center was awarded the largest combined grant size (US $2,246,437) for 4 projects. The authors of the publications were from 58 countries and 566 organizations; the top 3 most productive organizations were Northeastern University (United States), Universiti Teknologi MARA (Malaysia), and the French National Center for Scientific Research (CNRS; France). US researchers produced 114 publications. Although 82.0% (464/566) of the organizations engaged in interorganizational collaboration, 2 organizational research-collaboration clusters were observed with Northeastern University and CNRS as the central nodes. About 112 organizations from the United States and China filed 87.7% patents. IBM filed most patents (N=17). Only 5 patents were co-owned by different organizations, and there was no across-country collaboration on patenting activity. The terms patient, child, elderly, and robot were frequently discussed in the 3 record types. The terms related to mental and chronic issues were discussed mainly in grants and publications. The terms regarding multimodal interactions were widely mentioned as users' communication modes with CIs in the identified records.

conclusionsOur findings provided an overview of the countries, organizations, and topic terms in funded projects, as well as the authorship, collaboration, content, and related information of research publications and patents. There is a lack of broad cross-sector partnerships among grant agencies, academia, and industry, particularly in the United States. Our results suggest a need to improve collaboration among public and private sectors and health care organizations in research and patent activities.

Indexed as

BibliometricsBiomedical ResearchHumansPublicationsPublishingartifical intelligencebibliometricschatbotsconversational agentsconversational interfacesgrantshealthcarepatentspublicationssocial network

Identifiers

PMID31738171
PMCPMC6887814
OpenAlexW2980537644

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.