Evidence map›Paper›PMID 38717816›Full record

ArticleJMIR mHealth and uHealth2024

Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study.

Stefany Cruz, Claire Lu, Mara Ulloa, Alexander Redding, Josiah Hester, Maia Jacobs

Abstract readMulticenter Study
In one paragraph

Article in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Stefany CruzDepartment of Electrical and Computer Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States.ORCID 0000-0001-6461-1984
Claire LuDepartment of Electrical and Computer Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States.ORCID 0000-0001-6639-7539
Mara UlloaDepartment of Computer Science, McCormick School of Engineering, Northwestern University, Evanston, IL, United States.ORCID 0009-0005-4442-4520
Alexander ReddingDepartment of Computer Science and Engineering, Irwin & Joan Jacobs School of Engineering, University of California, San Diego, La Jolla, CA, United States.ORCID 0000-0001-5210-0407
Josiah HesterInteractive Computing and Computer Science, College of Computing, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0002-1680-085X
Maia JacobsDepartment of Computer Science, McCormick School of Engineering, Northwestern University, Evanston, IL, United States.ORCID 0000-0001-8500-0277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health (mHealth) wearable devices are increasingly being adopted by individuals to help manage and monitor physiological signals. However, the current state of wearables does not consider the needs of racially minoritized low-socioeconomic status (SES) communities regarding usability, accessibility, and price. This is a critical issue that necessitates immediate attention and resolution.

objectiveThis study's aims were 3-fold, to (1) understand how members of minoritized low-SES communities perceive current mHealth wearable devices, (2) identify the barriers and facilitators toward adoption, and (3) articulate design requirements for future wearable devices to enable equitable access for these communities.

methodsWe performed semistructured interviews with low-SES Hispanic or Latine adults (N=19) from 2 metropolitan cities in the Midwest and West Coast of the United States. Participants were asked questions about how they perceive wearables, what are the current benefits and barriers toward use, and what features they would like to see in future wearable devices. Common themes were identified and analyzed through an exploratory qualitative approach.

resultsThrough qualitative analysis, we identified 4 main themes. Participants' perceptions of wearable devices were strongly influenced by their COVID-19 experiences. Hence, the first theme was related to the impact of COVID-19 on the community, and how this resulted in a significant increase in interest in wearables. The second theme highlights the challenges faced in obtaining adequate health resources and how this further motivated participants' interest in health wearables. The third theme focuses on a general distrust in health care infrastructure and systems and how these challenges are motivating a need for wearables. Lastly, participants emphasized the pressing need for community-driven design of wearable technologies.

conclusionsThe findings from this study reveal that participants from underserved communities are showing emerging interest in using health wearables due to the COVID-19 pandemic and health care access issues. Yet, the needs of these individuals have been excluded from the design and development of current devices.

Indexed as

COVID-19PovertyQualitative ResearchWearable Electronic DevicesAdultFemaleHispanic or LatinoHumansInterviews as TopicMaleMiddle AgedPerceptionTelemedicineacceptanceadoptionattitudeattitudesCOVID-19digital divideequityHealth wearablesHispanicHispanicsinterviewinterviewsLatinxlow incomelow resourcelow-socioeconomic statusmarginalizedmHealthmobile healthopinionopinionsperceptionperceptionsperspectiveperspectivespovertysocioeconomicSpanishunderservedwearablewearables

Identifiers

PMID38717816
PMCPMC11112471

What OpenQuestion holds

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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.