Evidence map›Paper›PMID 36159156›Full record

ArticleDigital health

Perception of E-health Technology Scale in Chinese Brief (PETS-C Brief): Translation, item reduction, and psychometric testing.

Rick Yiu Cho Kwan, Simon Ching Lam, Shao Ling Wang, Arkers Kwan Ching Wong, Lei Shi, Frances Kam Yuet Wong

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Rick Yiu Cho KwanSchool of Nursing, Tung Wah College, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-4332-780X
Simon Ching LamSchool of Nursing, Tung Wah College, Hong Kong SAR, China.
Shao Ling WangSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-2814-8360
Arkers Kwan Ching WongSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-6708-3099
Lei ShiSchool of Nursing, Southern Medical University, Hong Kong SAR, China.
Frances Kam Yuet WongSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Perception of e-health is a broad concept involving many aspects of values and thoughts related to e-health. It is an important precursor to using e-health technologies to promote health. The purpose of this study is to validate an instrument for measuring perceptions of e-health technology among healthcare professionals. Methods: This methodological study was conducted in China. We based on an existing instrument to develop a new instrument (i.e. PETS-C Brief). In phase 1, we modified and translated the existing instrument into Chinese. Subsequently, we employed the modified and translated instrument to conduct a cross-sectional survey. In phase 2, we randomly selected data from 400 participants to run an exploratory factor analysis and item analysis to reduce the number of items and develop factors. In phase 3, we employed the data from the remaining participants to run a confirmatory factor analysis to confirm the instrument structure. Results: In phase 1, the modified and translated instrument showed good content and face validities (S-CVI = 0.96, mean comprehensibility = 93.5%). 1338 participants completed the survey. In phase 2, the number of items was reduced from 40 to 19, which demonstrated a 4-factor model. In phase 3, the goodness-of-fit of the 4-factor PETS-C Brief was shown to be acceptable (χ Discussion: This study suggests using this instrument to survey perceptions of e-health technology in Chinese people. Future studies should examine its other important psychometric properties, including convergent/discriminant and predictive validity on behaviors using e-health technology.

Indexed as

construct validitycontent validitye-Healthface validityinternal consistencyitem reductionperception of e-health technologyTranslation

Identifiers

PMID36159156
PMCPMC9500267

What OpenQuestion holds

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Registered trials

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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.