Evidence map›Paper›PMID 31178672›Full record

ArticleGerontechnology : international journal on the fundamental aspects of technology to serve the ageing society2018

Understanding healthcare providers' perceptions of a personal assistant robot.

Tracy L Mitzner, Lorenza Tiberio, Charles C Kemp, Wendy A Rogers

Abstract read
In one paragraph

Article in Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Tracy L MitznerCenter for Assistive Technology and Environmental Access (CATEA), Georgia Institute of Technology, Atlanta, Georgia, United States.
Lorenza TiberioDepartment of Education, Roma Tre University, Rome, Italy.
Charles C KempDepartment of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States.
Wendy A RogersDepartment of Kinesiology & Community Health, University of Illinois Urbana-Champaign, Champaign, IL, United States.

Funding

Understanding Issues Surrounding Technology Uptake and the Influence of Technology and Decision Making in Older AdultsP01AG017211 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI CZAJA, SARA J · 1999 to 2019
$26.6M
NIA NIH HHS P01 AG017211
6 · The paper itself

Abstract

To successfully deploy a robot into a healthcare setting, it must be accepted by the end users. This study explored healthcare providers' perceptions of a mobile manipulator class personal robot assisting with caregiving tasks for older adult patients. Participants were 14 healthcare providers with an average of 12 years of continuous work experience with older patients. Quantitative and qualitative methods were used. Participants indicated a willingness to use a mobile manipulator robot as an assistant, yet they expressed discretion in their acceptance for different tasks. Benefits of robot assistance noted by participants included saving time, being accurate when conducting medical tasks, and enabling them to be more productive. Participants expressed concern about robots being unreliable, hazardous to patients, and inappropriate for performing some tasks (e.g., those that involve close patient contact). These findings provide insights into healthcare providers' attitudes and preferences for assistance from a mobile manipulator robot.

Indexed as

agingcaregiving taskshealthcarelong-term carerobot assistancetechnology acceptance

Identifiers

PMID31178672
PMCPMC6553648

What OpenQuestion holds

Textmetadata
LicenceTDM
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.