Evidence map›Paper›PMID 36131336›Full record

ArticleBMC women's health2022

Using implementation science frameworks to translate and adapt a pregnancy app for an emerging Latino community.

Anabel F Castillo, Alexander L Davis, Tamar Krishnamurti

Abstract read
In one paragraph

Article in BMC women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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.

Anabel F CastilloNaima Health LLC, 4615 Forbes Avenue, Suite 400, Pittsburgh, PA, 15213, USA. anabel@naimahealth.com.
Alexander L DavisDepartment of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.
Tamar KrishnamurtiDivision of General Internal Medicine, Center for Innovative Research on Gender Health Equity (CONVERGE), University of Pittsburgh, Pittsburgh, PA, USA. tamark@pitt.edu.

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
MyHealthyPregnancy mobile health app: Combining behavioral science and machine learning for risk communication during the peripartum periodR44DP006417 · DP · NAIMA HEALTH, LLC · PI CASTILLO, ANABEL F · 2020 to 2021
$996k
MyHealthyPregnancy mobile health app: Combining behavioral science and machine learning for risk communication during the peripartum periodR43DP006417 · DP · NAIMA HEALTH, LLC · PI KRISHNAMURTI, TAMAR · 2018 to 2018
$225k
NCATS NIH HHS KL2 TR001856NCCDPHP CDC HHS R43 DP006417NCCDPHP CDC HHS R44 DP006417
6 · The paper itself

Abstract

backgroundDigital mobile health (mHealth) applications are a popular form of prenatal education and care delivery in the U.S.; yet there are few Spanish language options for native speakers. Furthermore, existing applications do not consider cultural differences and disparities in healthcare access, including those specific to emerging Latino communities.

objectiveTo adapt and translate an English-language pregnancy mobile health app to meet the language and cultural needs of Spanish-speaking Latino immigrants living in the United States.

methodsWe use a multi-step process, grounded in implementation science frameworks, to adapt and translate the contents of an existing pregnancy app. Interviews with stakeholders (n = 12) who advocate for the needs of pregnant individuals in an emerging Latino community were used to identify domains of possible disparities in access to prenatal care. We then conducted semi-structured interviews with peripartum Spanish-speaking Latino users (n = 14) to understand their perspectives within those domains. We identified a list of topics to create educational material for the modified app and implemented a systematic translation approach to ensure that the new version was acceptable for immigrants from different countries in Latin America.

resultsThe interviews with stakeholders revealed seven critical domains that need to be addressed in an adapted prenatal app: language and communication, financial concerns, social support, immigration status, cultural differences, healthcare navigation, and connection to population-specific community resources that offer Spanish language services. The interviews with peripartum Spanish-speaking Latino women informed how the existing content in the app could be adjusted or built upon to address these issues, including providing information on accessing care offered in their native language and community support. Finally, we used a systematic approach to translate the existing application and create new content.

conclusionThis work illustrates a process to adapt an mHealth pregnancy app to the needs of an emerging Latino community, by incorporating culturally sensitive Spanish language content while focusing on addressing existing health disparities.

Indexed as

LanguageMobile ApplicationsFemaleHispanic or LatinoHumansImplementation SciencePregnancyTranslatingUnited StatesAppCulturally sensitiveEmerging communitiesFormative evaluationHealth disparitiesImplementation scienceLatinaLatinomHealthMobile applicationPregnancyTranslation

Identifiers

PMID36131336
PMCPMC9490971

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.