Evidence map›Paper›PMID 31938751›Full record

ArticleHeliyon2020

Designing a health referral mobile application for high-mobility end users in Indonesia.

Ave Adriana Pinem, Andi Yeskafauzan, Putu Wuri Handayani, Fatimah Azzahro, Achmad Nizar Hidayanto, Dumilah Ayuningtyas

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. 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
10.5field-weighted citation impact, top 2% 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

3 citing papers in PubMed, 29 citations in OpenAlex.

  1. Designing an infographic webtool for public health.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  2. Article
  3. Review
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 at 1 institution in 1 country.

Ave Adriana PinemFaculty of Computer Science, Universitas Indonesia, Indonesia.
Andi YeskafauzanFaculty of Computer Science, Universitas Indonesia, Indonesia.
Putu Wuri HandayaniFaculty of Computer Science, Universitas Indonesia, Indonesia.
Fatimah AzzahroFaculty of Computer Science, Universitas Indonesia, Indonesia.
Achmad Nizar HidayantoFaculty of Computer Science, Universitas Indonesia, Indonesia.
Dumilah AyuningtyasFaculty of Public Health, Universitas Indonesia, Indonesia.
University of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to design a suitable mobile application for high mobility medical staff to support the health referral system of Indonesian universal health coverage.

methodsDesign science research (DSR) approach were conducted with two iterations. The first iteration was conducted by designing a high-fidelity mockup and evaluating the design using the System Usability Scale (SUS) framework to evaluate the overall usability of the system (n = 48). The second iteration was conducted by designing a running prototype and evaluating the design using the Post-Study System Usability Questionnaire (PSSUQ) framework to evaluate the system's usefulness, information quality, and interface quality (n = 31). For designing the user interface, the eight golden rules guided the process.

resultsThe results found that the design for the first iteration was good and the second iteration's design was satisfactory to the respondents. The information quality aspects underwent several changes such as the implementation of local language as the users deemed it to be important to help them easily understand and use the system and eventually support their mobility at the health facility.

Indexed as

Design science approachHealth referral systemInformation scienceMobile application designPSSUQSUS

Identifiers

PMID31938751
PMCPMC6953702
OpenAlexW2999300806

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.