Evidence map›Paper›PMID 40373303›Full record

ArticleJournal of medical Internet research2025

Experiences Receiving and Delivering Virtual Health Care For Women: Qualitative Evidence Synthesis.

Karen M Goldstein, Sharron Rushton, Allison A Lewinski, Abigail Shapiro, Tiera Lanford-Davey, Jessica N Coleman, Neetu Chawla, Dhara B Patel, Katherine Van Loon, Megan Shepherd-Banigan and 4 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. 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
–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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
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

14 authors.

Karen M GoldsteinVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0003-4419-5869
Sharron RushtonDuke University School of Nursing, Durham, NC, United States.ORCID https://orcid.org/0000-0003-0370-9579
Allison A LewinskiVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0002-1356-1857
Abigail ShapiroVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0003-3276-0824
Tiera Lanford-DaveyVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0002-1082-9133
Jessica N ColemanVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0002-4808-1036
Neetu ChawlaVA Center for the Study of Healthcare Innovation Implementation and Policy, Los Angles, CA, United States.ORCID https://orcid.org/0000-0003-3486-2023
Dhara B PatelVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0009-0008-8027-9123
Katherine Van LoonVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0009-0009-5349-8002
Megan Shepherd-BaniganVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0002-4020-8936
Catherine SimsVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0002-2890-4445
Sarah CantrellDuke University Medical Center Library & Archives, Duke University School of Medicine, Durham, NC, United States.ORCID https://orcid.org/0000-0003-2694-7836
Susan Alton DaileyVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0003-4801-8579
Jennifer M GierischVA Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC, United States.ORCID https://orcid.org/0000-0002-5057-4964

Funding

HSRD VA I01 HX003549
6 · The paper itself

Abstract

backgroundPersisting sex- and gender-based disparities in access to high-quality, personalized health care in the United States can lead to devastating outcomes with long-lasting consequences. Strategic use of virtual resources could expand equitable health care access for women. However, optimal approaches and timing for individualized, virtually delivered health care for women are unclear.

objectiveThis study aims to conduct a detailed analysis of the current literature to answer the following question: "According to women and their health care teams, what are the reported successes and challenges in accessing, delivering, and participating in synchronous virtual health care for women?"

methodsWe conducted a qualitative evidence synthesis using a best-fit framework approach based on the Nonadoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework and concepts from the Public Health Critical Race Praxis. We searched MEDLINE, Embase, and CINAHL from January 1, 2010, to October 10, 2022, using a combination of database-specific, relevant, controlled vocabulary terms and keywords; this search was updated in MEDLINE through January 2024. Additional citations were identified through handsearching. Our eligibility criteria were developed using the Sample, Phenomenon of Interest, Design, Evaluation, Research type tool to identify qualitative studies addressing synchronous virtual care for women. Citations were screened in duplicate, and eligible articles were abstracted. An iterative thematic synthesis approach was used to identify descriptive themes related to the successes and challenges related to delivering high-quality virtual care. Data reduction was performed using inductive and deductive reasoning. Quality assessment was conducted using the Critical Appraisal Skills Program and certainty of evidence using Confidence in the Evidence from Reviews of Qualitative Research approaches.

resultsOf 85 eligible articles, we sampled 51 (60%) for data extraction based on representation of patient and clinician perspectives, marginalized voices, and relevance to a variety of clinical contexts. We identified themes across NASSS domains, including difficulty building rapport and emotional connections in the virtual setting, the amplification of barriers for women with preexisting challenges (eg, language barriers, limited transportation, and family and social commitments), and differing perceptions of privacy and safety related to virtual care depending on patient home context. Themes found to have high confidence included the value of convenience and cost savings offered by virtual care, the importance of patient choice in visit modality, the potential for negative impact on user well-being, considering the clinical context of modality choice, the importance of technology usability, and the value of virtual care for women located in regions without adequate supply of clinical offerings.

conclusionsThe benefits of virtual care for health care access may be more acutely felt by women, especially those with preexisting challenges. Strategic incorporation of virtual modalities into health care delivery for women could improve equitable access to high quality, patient-centered care.

trial registrationPROSPERO CRD42021283791; https://www.crd.york.ac.uk/PROSPERO/view/CRD42021283791. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1089/heq.2023.0089.

Indexed as

Delivery of Health CareTelemedicineFemaleHealth Services AccessibilityHumansQualitative ResearchUnited Statesaccess to caresex-specific caretelehealthvirtual carewomen’s health

Identifiers

PMID40373303
PMCPMC12123244

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.