Evidence map›Paper›PMID 34769703›Full record

ArticleInternational journal of environmental research and public health2021

Intentional Observational Clinical Research Design: Innovative Design for Complex Clinical Research Using Advanced Technology.

Tetsuya Tanioka, Rozzano C Locsin, Feni Betriana, Yoshihiro Kai, Kyoko Osaka, Elizabeth Baua, Savina Schoenhofer

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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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 5 institutions in 3 countries.

Tetsuya TaniokaDepartment of Nursing Outcome Management, Institute of Biomedical Sciences, Tokushima University, Tokushima 770-8509, Japan.ORCID 0000-0002-2847-1862
Rozzano C LocsinInstitute of Biomedical Sciences, Tokushima University, Tokushima 770-8509, Japan.
Feni BetrianaGraduate School of Health Sciences, Tokushima University, Tokushima 770-8503, Japan.ORCID 0000-0002-8248-367X
Yoshihiro KaiDepartment of Mechanical Engineering, Tokai University, Hiratsuka 259-1292, Japan.
Kyoko OsakaDepartment of Nursing, Nursing Course of Kochi Medical School, Kochi University, Kochi 783-8505, Japan.
Elizabeth BauaGraduate School, St. Paul University Philippines, Tuguegarao 3500, Philippines.
Savina SchoenhoferAnne Boykin Institute, Florida Atlantic University, Boca Raton, FL 33431, USA.
Florida Atlantic University · USTokushima University · JPKōchi University · JPSt. Paul University Philippines · PHTokai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing use of robots in nursing and healthcare facilities has prompted increasing research on human-robot interactions. However, specific research designs that can guide researchers to conduct rigorous investigations on human-robot interactions are limited. This paper aims to discuss the development and application of a new research design-the Intentional Observational Clinical Research Design (IOCRD). Data sources to develop the IOCRD were derived from surveyed literature of the past decade, focusing on clinical nursing research and theories relating robotics to nursing and healthcare practice. The distinction between IOCRD and other research design is the simultaneous data generation collected using advanced technological devices, for example, the wireless Bonaly-light electrocardiogram (ECG) to track heart rate variability of research subjects, robot application programs on the iPad mini to control robot speech and gestures, and Natural Language Processing programs. Even though IOCRD was developed for human-robot research, there remain vast opportunities for its use in nursing practice and healthcare. With the unique feature of simultaneous data generation and analysis, an interdisciplinary collaborative research team is strongly suggested. The IOCRD is expected to contribute guidance for researchers in conducting clinical research related to robotics in nursing and healthcare.

Indexed as

RoboticsDelivery of Health CareHumansNatural Language ProcessingTechnologyadvanced technologiesclinical researchhealthcareintentional observationmixed methods researchnovel research designnursing

Identifiers

PMID34769703
PMCPMC8583703
OpenAlexW3210067571

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.