Evidence map›Paper›PMID 35394441›Full record

ArticleJMIR formative research2022

The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic.

Keenae Tiersma, Mira Reichman, Paula J Popok, Zoe Nelson, Maura Barry, A Rani Elwy, Efrén J Flores, Kelly E Irwin, Ana-Maria Vranceanu

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

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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

9 authors.

Keenae Tiersma *Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-1056-3929
Mira Reichman *Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-4338-6674
Paula J PopokIntegrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-2691-1761
Zoe NelsonDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-2587-8891
Maura BarryDepartment of Psychiatric Oncology, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-0380-6934
A Rani ElwyImplementation Science Core, Department of Psychiatry and Human Behavior, Brown University, Providence, RI, United States.ORCID https://orcid.org/0000-0001-7088-3118
Efrén J FloresDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-1398-0426
Kelly E IrwinDepartment of Psychiatric Oncology, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-4591-9876
Ana-Maria VranceanuIntegrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-3994-6488

Funding

Reducing Disparities in Underserved Patients with Cancer and Serious Mental IllnessK08CA230185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IRWIN, KELLY EDWARDS · 2018 to 2022
$1.1M
NCI NIH HHS K08 CA230185
6 · The paper itself

Abstract

The COVID-19 pandemic has necessitated a rapid shift to web-based or blended design models for both ongoing and future clinical research activities. Research conducted virtually not only has the potential to increase the patient-centeredness of clinical research but may also further widen existing disparities in research participation among underrepresented individuals. In this viewpoint, we discuss practical strategies for quantitative and qualitative remote research data collection based on previous literature and our own ongoing clinical research to overcome challenges presented by the shift to remote data collection. We aim to contribute to and catalyze the dissemination of best practices related to remote data collection methodologies to address the opportunities presented by this shift and develop strategies for inclusive research.

Indexed as

blended designelectronic data collectionmobile phoneremote data collectionremote researchweb-based research

Identifiers

PMID35394441
PMCPMC9034421

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.