Evidence map›Paper›PMID 35311214›Full record

ArticleJournal of ambient intelligence and humanized computing2022

Mobile time banking on blockchain system development for community elderly care.

Hungyi Chen, Yuan-Chia Chu, Feipei Lai

Open access · hybridAbstract read
In one paragraph

Article in Journal of ambient intelligence and humanized computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

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

  1. Pooled it
  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

3 authors at 1 institution in 1 country.

Hungyi Chen *Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, 10617 Taiwan.ORCID 0000-0003-4398-2289
Yuan-Chia Chu *Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, 10617 Taiwan.ORCID 0000-0002-0997-5168
Feipei LaiGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, 10617 Taiwan.ORCID 0000-0001-7147-8122
National Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to develop a mobile time-banking system on blockchain (MTBB), which can track service transaction records for community elderly care via mutual service exchange. The MTBB was developed to enable organizations, either corporate-social-responsibility organizations or nonprofit organizations to issue proprietary time tokens to members who participate in the organizations' volunteer activities. Database applications with smartphone apps integrated with MultiChain blockchain technology were developed. Metadata with the service transaction information are stored in the MultiChain blocks so that the transaction records are immutable and can be analyzed in the future. Cahn's time-banking guidelines were applied in developing this MTBB with MultiChain blockchain technology integrated for tracking service transaction records. The study also combines one-to-one mutual service exchange with organizations which offer volunteer activities and issue proprietary time tokens. With the blockchain transaction tracking mechanism, all elderly care service records via or within organizations can be tracked and analyzed to show their alignment with some of the Sustainable Development Goals of the United Nations.

Indexed as

BlockchainElderly careEmployee volunteerismMobile healthSustainable development goalsTime banking

Identifiers

PMID35311214
PMCPMC8923103
OpenAlexW4220656507

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.