Evidence map›Paper›PMID 33827562›Full record

ArticleBMC medical informatics and decision making2021

What matters when exploring fidelity when using health IT to reduce disparities?

Margaret A Handley, Jerad Landeros, Cindie Wu, Adriana Najmabadi, Daniela Vargas, Priyanka Athavale

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. 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
1.2field-weighted citation impact, top 19% 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, 4 citations in OpenAlex.

  1. Trial
  2. Review
  3. Engaging the disability community in informatics research: rationales and practical steps.Journal of the American Medical Informatics Association : JAMIA · 2022
    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 at 3 institutions in 1 country.

Margaret A HandleyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, USA. Margaret.handley@ucsf.edu.ORCID 0000-0001-5034-2111
Jerad LanderosDivision of General Internal Medicine, Department of Medicine, Center for Vulnerable Populations, University of California, San Francisco, San Francisco, USA.
Cindie WuUniversity of California, Berkeley School of Public Health, Berkeley, USA.
Adriana NajmabadiDivision of General Internal Medicine, Department of Medicine, Center for Vulnerable Populations, University of California, San Francisco, San Francisco, USA.
Daniela VargasDivision of General Internal Medicine, Department of Medicine, Center for Vulnerable Populations, University of California, San Francisco, San Francisco, USA.
Priyanka AthavaleDivision of General Internal Medicine, Department of Medicine, Center for Vulnerable Populations, University of California, San Francisco, San Francisco, USA.
University of California, San Francisco · USBerkeley Public Health Division · USSan Francisco General Hospital · US

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Social Interventions to address disparities In young adult tobacco useP60MD006902 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN · 2012 to 2016
$6.4M
NIMHD NIH HHS P60 MD006902
6 · The paper itself

Abstract

backgroundImplementation of evidence-based interventions often involves strategies to engage diverse populations while also attempting to maintain external validity. When using health IT tools to deliver patient-centered health messages, systems-level requirements are often at odds with 'on-the ground' tailoring approaches for patient-centered care or ensuring equity among linguistically diverse populations.

methodsWe conducted a fidelity and acceptability-focused evaluation of the STAR MAMA Program, a 5-month bilingual (English and Spanish) intervention for reducing diabetes risk factors among 181 post-partum women with recent gestational diabetes. The study's purpose was to explore fidelity to pre-determined 'core' (e.g. systems integration) and 'modifiable' equity components (e.g. health coaching responsiveness, and variation by language) using an adapted implementation fidelity framework. Participant-level surveys, systems-level databases of message delivery, call completion, and coaching notes were included.

results96.6% of participants are Latina and 80.9% were born outside the US. Among those receiving the STAR MAMA intervention; 55 received the calls in Spanish (61%) and 35 English (39%). 90% (n = 81) completed ≥ one week. Initially, systems errors were common, and increased triggers for health coach call-backs. Although Spanish speakers had more triggers over the intervention period, the difference was not statistically significant. Of the calls triggering a health coach follow-up, attempts were made for 85.4% (n = 152) of the English call triggers and for 80.0% (n = 279) of the Spanish call triggers (NS). Of attempted calls, health coaching calls were complete for 55.6% (n = 85) of English-language call triggers and for 56.6% of Spanish-language call triggers (NS). Some differences in acceptability were noted by language, with Spanish-speakers reporting higher satisfaction with prevention content (p = < 0.01) and English-speakers reporting health coaches were less considerate of their time (p = 0.03).

conclusionsBy exploring fidelity by language-specific factors, we identified important differences in some but not all equity indicators, with early systems errors quicky remedied and high overall engagement and acceptability. Practice implications include: (1) establishing criteria for languge-equity in interventions, (2) planning for systems level errors so as to reduce their impact between language groups and over time; and (3) examining the impact of engagement with language-concordant interventions on outcomes, including acceptability. Trial Registration National Clinical Trials registration number: CT02240420 Registered September 15, 2014. ClinicalTrials.gov.

Indexed as

Diabetes, GestationalHispanic or LatinoBiomedical TechnologyFemaleHumansLanguagePostpartum PeriodPregnancyHealth coachingHealth equityHealth ITLanguage-concordant careProgram evaluation

Identifiers

PMID33827562
PMCPMC8028253
OpenAlexW3141574624

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.