Evidence map›Paper›PMID 35363153›Full record

ArticleJMIR human factors2022

Chinese Americans' Use of Patient Portal Systems: Scoping Review.

Katharine Lawrence, Stella Chong, Holly Krelle, Timothy Roberts, Lorna Thorpe, Chau Trinh-Shevrin, Stella Yi, Simona Kwon

Open access · goldAbstract readScoping Review
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 74% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Katharine Lawrence *Healthcare Innovation Bridging Research, Informatics, and Design (HiBRID) Lab, Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0001-5640-2138
Stella Chong *Section for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-0509-2173
Holly Krelle *Division of Healthcare Delivery Services, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-4106-3134
Timothy Roberts *NYU Health Sciences Library, NYU Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-7026-7435
Lorna ThorpeDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-5535-2674
Chau Trinh-ShevrinSection for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0001-9635-0512
Stella YiSection for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-9943-2609
Simona KwonSection for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0003-2398-704X
New York University · US

Funding

Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

backgroundElectronic patient portals are increasingly used in health care systems as communication and information-sharing tools and show promise in addressing health care access, quality, and outcomes. However, limited research exists on portal use patterns and practices among diverse patient populations, resulting in the lack of culturally and contextually tailored portal systems for these patients.

objectiveThis study aimed to summarize existing evidence on the access and use patterns, barriers, and facilitators of patient portals among Chinese Americans, who represent a growing patient population in the United States with unique health care and health technology needs.

methodsThe authors conducted a literature search using the PRISMA Protocol for Scoping Reviews (Preferred Reporting Items for Systematic Reviews and Meta-Analyses-ScR) for extracting articles published in major databases (MEDLINE, Embase, and PsycINFO) on patient portals and Chinese Americans. Authors independently reviewed the papers during initial screening and full-text review. The studies were analyzed and coded for the study method type, sample population, and main outcomes of interest.

resultsIn total, 17 articles were selected for inclusion in the review. The included articles were heterogenous and varied in their study aims, methodologies, sample populations, and outcomes. Major findings identified from the articles include variable patterns of portal access and use among Chinese Americans compared to other racial or ethnic groups, with limited evidence on the specific barriers and facilitators for this group; a preference for cross-sectional quantitative tools such as patient surveys and electronic health record-based data over qualitative or other methodologies; and a pattern of aggregating Chinese American-related data into a larger Asian or Asian American designation.

conclusionsThere is limited research evaluating the use patterns, experiences, and needs of Chinese Americans who access and use patient portal systems. Existing research is heterogeneous, largely cross-sectional, and does not disaggregate Chinese Americans from larger Asian demographics. Future research should be devoted to the specific portal use patterns, preferences, and needs of Chinese Americans to help ensure contextually appropriate and acceptable design and implementation of these digital health tools.

Indexed as

Asian AmericansChinese Americansdigital divideehealthelectronic health recordshealth equitypatient portalpersonal health records

Identifiers

PMID35363153
PMCPMC9015766
OpenAlexW3214364868

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.