Evidence map›Paper›PMID 37427281›Full record

ArticleFrontiers in public health2023

Development and evaluation of a COVID tracking system to support provision of social service in Wyandotte County, Kansas.

Catherine Wexler, Katelyn Sanner Dixon, Kevin Oyowe, Brooke Lapke, Hannah Conner, Hailey Shoemaker, Erin Corriveau, Allen Greiner, Sarah Finocchario-Kessler

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. 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

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.

Catherine WexlerDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Katelyn Sanner DixonSchool of Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Kevin OyoweGlobal Health Innovations-Kenya, Nairobi, Kenya.
Brooke LapkeSchool of Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Hannah ConnerUnified Government of Wyandotte County Health Department, Kansas City, KS, United States.
Hailey ShoemakerUnified Government of Wyandotte County Health Department, Kansas City, KS, United States.
Erin CorriveauDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Allen GreinerDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Sarah Finocchario-KesslerDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In addition to the state-mandated case investigation and contact tracing, the Unified Government Public Health Department of Wyandotte County, Kansas implemented social support services for COVID-19 cases and contacts; however, did not have the systems in place to document the provision of these services. Our team worked with the health department to develop and implement the COVID Tracking System (CTS), an eHealth system that linked multiple involved teams. Here, we describe the development and evaluation of the CTS. The objective of this manuscript is to describe and evaluate the development and implementation process of the Covid Tracking System. Methods: Drawing from concepts of user-centered design, we took a 4-phase approach to development: understanding context, specifying needs, designing solutions, and evaluating. A mixed-methods evaluation of the development and implementation process using RE-AIM was conducted. Quantitative CTS data captured between February 1, 2021, and September 30, 2021 were exported. Descriptive statistics were calculated for categorical variables and means (SD, range) or median (IQR) for continuous variables. Qualitative discussions with key users supplemented the quantitative data. Results: There were 1,152 cases entered into the CTS, of whom 307 (26.6%) requested a letter be sent to their workplace to excuse them during their quarantine period, 817 (70.9%) requested and had food and cleaning supplies delivered, 21 (1.8%) requested guidance on applying for federal assistance, and 496 (43.1%) requested to be contacted by a community health worker. While a few technical glitches slowed down early implementation, these were quickly resolved and key users felt that the CTS streamlined client referral and simplified their workflow, allowing them to spend more time on patient care and follow up, rather than documentation. After study implementation ended, the Unified Government Public Health Department of Wyandotte County continued using the CTS for client tracing and follow up. Discussion: This project provides a roadmap of how user centered design can be applied to the development and evaluation of eHealth software to support program intervention implementation, even in situations where urgent action is needed.

Indexed as

COVID-19TelemedicineHumansKansasSocial SupportSocial WorkCOVID-19eHealthhuman centered designqualitative researchRE-AIM

Identifiers

PMID37427281
PMCPMC10326267

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.