Evidence map›Paper›PMID 33315017›Full record

ArticleJMIR public health and surveillance2021

Using a Twitter Chat to Rapidly Identify Barriers and Policy Solutions for Metastatic Breast Cancer Care: Qualitative Study.

Riti Shimkhada, Deanna Attai, A J Scheitler, Susan Babey, Beth Glenn, Ninez Ponce

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Re-imagining metastatic breast cancer care delivery: a patient-partnered qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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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

6 authors.

Riti Shimkhada *Center for Health Policy Research, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-5177-4853
Deanna Attai *Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-1893-1183
A J Scheitler *Center for Health Policy Research, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-2085-536X
Susan Babey *Center for Health Policy Research, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0001-8113-1739
Beth Glenn *Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-4937-8181
Ninez Ponce *Center for Health Policy Research, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0001-5151-6718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReal-time, rapid assessment of barriers to care experienced by patients can be used to inform relevant health care legislation. In recent years, online communities have become a source of support for patients as well as a vehicle for discussion and collaboration among patients, clinicians, advocates, and researchers. The Breast Cancer Social Media (#BCSM) community has hosted weekly Twitter chats since 2011. Topics vary each week, and chats draw a diverse group of participants. Partnering with the #BCSM community, we used Twitter to gather data on barriers to care for patients with metastatic breast cancer and potential policy solutions. Metastatic breast cancer survival rates are low and in large part conditioned by time-sensitive access to care factors that might be improved through policy changes.

objectiveThis study was part of an assessment of the barriers to care for metastatic breast cancer with the goal of offering policy solutions for the legislative session in California.

methodsWe provided 5 questions for a chat specific to metastatic breast cancer care barriers and potential policy solutions. These were discussed during the course of a #BCSM chat on November 18, 2019. We used Symplur (Symplur LLC) analytics to generate a transcript of tweets and a profile of participants. Responses to the questions are presented in this paper.

resultsThere were 288 tweets from 42 users, generating 2.1 million impressions during the 1-hour chat. Participants included 23 patient advocates (most of whom were patients themselves), 7 doctors, 6 researchers or academics, 3 health care providers (2 nurses, 1 clinical psychologist), and 2 advocacy organizations. Participants noted communication gaps between patient and provider especially as related to the need for individualized medication dosing to minimize side effects and maximize quality of life. Timeliness of insurance company response, for example, to authorize treatments, was also a concern. Chat participants noted that palliative care is not well integrated into metastatic breast cancer care and that insurance company denials of coverage for these services were common. Regarding financial challenges, chat participants mentioned unexpected copays, changes in insurance drug formularies that made it difficult to anticipate drug costs, and limits on the number of physical therapy visits covered by insurance. Last, on the topic of disability benefits, participants expressed frustration about how to access disability benefits. When prompted for input regarding what health system and policy changes are necessary, participants suggested a number of ideas, including expanding the availability of nurse navigation for metastatic breast cancer, developing and offering a guide for the range of treatment and support resources patients with metastatic breast cancer, and improving access to clinical trials.

conclusionsRapid assessments drawing from online community insights may be a critical source of data that can be used to ensure more responsive policy action to improve patient care.

Indexed as

Health Services AccessibilityBreast NeoplasmsCaliforniaFemaleHealth PolicyHumansQualitative ResearchSocial Mediabreast cancerhealth care barriershealth care policyinfodemiologyinfoveillancemetastatic breast cancerpolicysocial mediaTwitter

Identifiers

PMID33315017
PMCPMC7872835

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.