Evidence map›Paper›PMID 32013965›Full record

ArticleBMC medical informatics and decision making2020

Investigating usability of mobile health applications in Bangladesh.

Muhammad Nazrul Islam, Md Mahboob Karim, Toki Tahmid Inan, A K M Najmul Islam

Abstract readEvaluation Study
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
–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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. PeerJ · 2023
    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.

Muhammad Nazrul IslamDepartment of Computer Science and Engineering, Military Institute of Science and Technology, Dhaka, 1216, Bangladesh. nazrul@cse.mist.ac.bd.ORCID 0000-0002-7189-4879
Md Mahboob KarimDepartment of Computer Science and Engineering, Military Institute of Science and Technology, Dhaka, 1216, Bangladesh.
Toki Tahmid InanDepartment of Computer Science and Engineering, Military Institute of Science and Technology, Dhaka, 1216, Bangladesh.
A K M Najmul IslamDepartment of Future Technologies, University of Turku, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLack of usability can be a major barrier for the rapid adoption of mobile services. Therefore, the purpose of this paper is to investigate the usability of Mobile Health applications in Bangladesh.

methodWe followed a 3-stage approach in our research. First, we conducted a keyword-based application search in the popular app stores. We followed the affinity diagram approach and clustered the found applications into nine groups. Second, we randomly selected four apps from each group (36 apps in total) and conducted a heuristic evaluation. Finally, we selected the highest downloaded app from each group and conducted user studies with 30 participants.

resultsWe found 61% usability problems are catastrophe or major in nature from heuristic inspection. The most (21%) violated heuristic is aesthetic and minimalist design. The user studies revealed low System Usability Scale (SUS) scores for those apps that had a high number of usability problems based on the heuristic evaluation. Thus, the results of heuristic evaluation and user studies complement each other.

conclusionOverall, the findings suggest that the usability of the mobile health apps in Bangladesh is not satisfactory in general and could be a potential barrier for wider adoption of mobile health services.

Indexed as

Mobile ApplicationsTelemedicineAdultBangladeshFeasibility StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultBangladeshHealth informaticsHuman-computer interaction (HCI)mHealth applicationsMobile healthSystem usability scaleUsabilityUsability evaluation

Identifiers

PMID32013965
PMCPMC6998368

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.