Evidence map›Paper›PMID 38746358›Full record

ArticleResearch square2024

Improving Post-Injury Follow-up Survey Response: Incorporating Automated Modalities.

Hannah Scheuer, Kelsey M Conrick, Brianna Mills, Esther Solano, Saman Arbabi, Eileen M Bulger, Danae Dotolo, Christopher St Vil, Monica S Vavilala, Ali Rowhani-Rahbar and 1 more

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Hannah ScheuerUniversity of Washington.
Kelsey M ConrickUniversity of Washington.
Brianna MillsUniversity of Washington.
Esther SolanoUniversity of Washington.
Saman ArbabiUniversity of Washington.
Eileen M BulgerUniversity of Washington.
Danae DotoloUniversity of Washington.
Christopher St VilUniversity at Buffalo, State University of New York.
Monica S VavilalaUniversity of Washington.
Ali Rowhani-RahbarUniversity of Washington.
Megan MooreUniversity of Washington.

Funding

Achieving Injury-related Health Equity in the National Trauma Healthcare SystemR21MD013486 · NIMHD · UNIVERSITY OF WASHINGTON · PI MOORE, MEGAN, ROWHANI-RAHBAR, ALI · 2019 to 2020
$597k
NIMHD NIH HHS R21 MD013486
6 · The paper itself

Abstract

Background: Incorporating post-discharge data into trauma registries would allow for better research on patient outcomes, including disparities in outcomes. This pilot study tested a follow-up data collection process to be incorporated into existing trauma care systems, prioritizing low-cost automated response modalities. Methods: This investigation was part of a larger study that consisted of two protocols with two distinct cohorts of participants who experienced traumatic injury. Participants in both protocols were asked to provide phone, email, text, and mail contact information to complete follow-up surveys assessing patient-reported outcomes six months after injury. To increase follow-up response rates between protocol 1 and protocol 2, the study team modified the contact procedures for the protocol 2 cohort. Frequency distributions were utilized to report the frequency of follow-up response modalities and overall response rates in both protocols. Results: A total of 178 individuals responded to the 6-month follow-up survey: 88 in protocol 1 and 90 in protocol 2. After implementing new follow-up contact procedures in protocol 2 that relied more heavily on the use of automated modalities (e.g., email and text messages), the response rate increased by 17.9 percentage points. The primary response modality shifted from phone (72.7%) in protocol 1 to the combination of email (47.8%) and text (14.4%) in protocol 2. Conclusions: Results from this investigation suggest that follow-up data can feasibly be collected from trauma patients. Use of automated follow-up methods holds promise to expand longitudinal data in the national trauma registry and broaden the understanding of disparities in patient experiences.

Indexed as

disparitiesHealth equityinjurytrauma registry

Identifiers

PMID38746358
PMCPMC11092863

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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.