Evidence map›Paper›PMID 33546599›Full record

ArticleBMC medical research methodology2021

The STS case study: an analysis method for longitudinal qualitative research for implementation science.

Jennifer M Van Tiem, Heather Schacht Reisinger, Julia E Friberg, Jaime R Wilson, Lynn Fitzwater, Ralph J Panos, Jane Moeckli

Open access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Jennifer M Van TiemVA Office of Rural Health (ORH), Veterans Rural Health Resource Center-Iowa City, Iowa City VA Healthcare System, Iowa City, IA, USA. jennifer.vantiem@va.gov.
Heather Schacht ReisingerVA Office of Rural Health (ORH), Veterans Rural Health Resource Center-Iowa City, Iowa City VA Healthcare System, Iowa City, IA, USA.
Julia E FribergVA Office of Rural Health (ORH), Veterans Rural Health Resource Center-Iowa City, Iowa City VA Healthcare System, Iowa City, IA, USA.
Jaime R WilsonVA Office of Rural Health (ORH), Veterans Rural Health Resource Center-Iowa City, Iowa City VA Healthcare System, Iowa City, IA, USA.
Lynn FitzwaterVISN 10/Cincinnati Tele-CC System, Cincinnati, OH, USA.
Ralph J PanosVISN 10/Cincinnati Tele-CC System, Cincinnati, OH, USA.
Jane MoeckliVA Office of Rural Health (ORH), Veterans Rural Health Resource Center-Iowa City, Iowa City VA Healthcare System, Iowa City, IA, USA.
Iowa City VA Health Care System · USCincinnati VA Medical Center · USHealth Services Research & Development · USVA Northeast Ohio Healthcare System · US

Funding

HSRD VA CIN 13-412VA Office of Rural Health, Veterans Rural Health Resource Center- Iowa City 14385
6 · The paper itself

Abstract

backgroundEthnographic approaches offer a method and a way of thinking about implementation. This manuscript applies a specific case study method to describe the impact of the longitudinal interplay between implementation stakeholders. Growing out of science and technology studies (STS) and drawing on the latent archaeological sensibilities implied by ethnographic methods, the STS case-study is a tool for implementors to use when a piece of material culture is an essential component of an innovation.

methodsWe conducted an ethnographic process evaluation of the clinical implementation of tele-critical care (Tele-CC) services in the Department of Veterans Affairs. We collected fieldnotes and conducted participant observation at virtual and in-person education and planning events (n = 101 h). At Go-Live and 6-months post-implementation, we conducted site visits to the Tele-CC hub and 3 partnered ICUs. We led semi-structured interviews with ICU staff at Go-Live (43 interviews with 65 participants) and with ICU and Tele-CC staff 6-months post-implementation (44 interviews with 67 participants). We used verification strategies, including methodological coherence, appropriate sampling, collecting and analyzing data concurrently, and thinking theoretically, to ensure the reliability and validity of our data collection and analysis process.

resultsThe STS case-study helped us realize that we must think differently about how a Tele-CC clinician could be noticed moving from communal to intimate space. To understand how perceptions of surveillance impacted staff acceptance, we mapped the materials through which surveillance came to matter in the stories staff told about cameras, buttons, chimes, motors, curtains, and doorbells.

conclusionsSTS case-studies contribute to the literature on longitudinal qualitive research (LQR) in implementation science, including pen portraits and periodic reflections. Anchored by the material, the heterogeneity of an STS case-study generates questions and encourages exploring differences. Begun early enough, the STS case-study method, like periodic reflections, can serve to iteratively inform data collection for researchers and implementors. The next step is to determine systematically how material culture can reveal implementation barriers and direct attention to potential solutions that address tacit, deeply rooted challenges to innovations in practice and technology.

Indexed as

Implementation ScienceTelemedicineHumansIntensive Care UnitsQualitative ResearchReproducibility of ResultsCritical careEthnographyImplementationLongitudinal qualitative researchScience and technology studiesTelemedicine

Identifiers

PMID33546599
PMCPMC7866713
OpenAlexW3126181772

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.