Evidence map›Paper›PMID 32012107›Full record

ArticleJMIR mHealth and uHealth2020

Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study.

Rizwana Biviji, Joshua R Vest, Brian E Dixon, Theresa Cullen, Christopher A Harle

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia.International journal of environmental research and public health · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

5 authors.

Rizwana Biviji *Science of Healthcare Delivery, College of Health Solutions, Arizona State University, Phoenix, AZ, United States.ORCID 0000-0002-3286-3332
Joshua R VestDepartment of Health Policy and Management, Richard M Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States.ORCID 0000-0002-7226-9688
Brian E DixonCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.ORCID 0000-0002-1121-0607
Theresa CullenCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.ORCID 0000-0002-8730-5688
Christopher A HarleDepartment of Health Policy and Management, Richard M Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States.ORCID 0000-0002-4803-3632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health apps related to maternal and infant health (MIH) are prevalent and frequently used. Some of these apps are extremely popular and have been downloaded over 5 million times. However, the understanding of user behavior and user adoption of these apps based on consumer preferences for different app features and categories is limited.

objectiveThis study aimed to examine the relationship between MIH app characteristics and users' perceived satisfaction and intent to use.

methodsThe associations between app characteristics, ratings, and downloads were assessed in a sample of MIH apps designed to provide health education or decision-making support to pregnant women or parents and caregivers of infants. Multivariable linear regression was used to assess the relationship between app characteristics and user ratings, and ordinal logistic regression was used to assess the relationship between app characteristics and user downloads.

resultsThe analyses of user ratings and downloads included 421 and 213 apps, respectively. The average user rating was 3.79 out of 5. Compared with the Apple App Store, the Google Play Store was associated with high user ratings (beta=.33; P=.005). Apps with higher standardized user ratings (beta=.80; P<.001), in-app purchases (beta=1.12; P=.002), and in-app advertisements (beta=.64; P=.02) were more frequently downloaded. Having a health care organization developer as part of the development team was neither associated with user ratings (beta=-.20; P=.06) nor downloads (beta=-.14; P=.63).

conclusionsA majority of MIH apps are developed by non-health care organizations, which could raise concern about the accuracy and trustworthiness of in-app information. These findings could benefit app developers in designing better apps and could help inform marketing and development strategies. Further work is needed to evaluate the clinical accuracy of information provided within the apps.

Indexed as

Infant HealthMaternal HealthMobile ApplicationsCross-Sectional StudiesFamilyFemaleHumansInfantPatient SatisfactionPregnancyinfant caremHealthmobile appsparturitionpregnancysmartphones

Identifiers

PMID32012107
PMCPMC7007596

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.