Evidence map›Paper›PMID 36870816›Full record

ArticleResearch in social & administrative pharmacy : RSAP2023

"What brought you in today?": Modeling patient-provider clinic visits to characterize rural providers' antibiotic treatment decisions.

Laurel Legenza, Ashley O Morris, Nasia Safdar, Michelle A Chui

Abstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Laurel LegenzaSonderegger Research Center for Improved Medication Outcomes, University of Wisconsin-Madison School of Pharmacy, 777 Highland Ave., Madison, WI, 53705, United States. Electronic address: Legenza@wisc.edu.
Ashley O MorrisUniversity of Wisconsin-Madison School of Pharmacy, Social and Administrative Sciences Division, 777 Highland Ave., Madison, WI, 53705, United States.
Nasia SafdarUniversity of Wisconsin School of Medicine and Public Health, 750 Highland Ave., Madison, WI, 53705, United States.
Michelle A ChuiSonderegger Research Center for Improved Medication Outcomes, University of Wisconsin-Madison School of Pharmacy, 777 Highland Ave., Madison, WI, 53705, United States; University of Wisconsin-Madison School of Pharmacy, Social and Administrative Sciences Division, 777 Highland Ave., Madison, WI, 53705, United States.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
NRSA Training CoreTL1TR002375 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Vivek Prabhakaran · 2017 to 2026
$8.4M
NCATS NIH HHS TL1 TR002375NCATS NIH HHS UL1 TR002373
6 · The paper itself

Abstract

backgroundDesigning clinical decision support (CDS) tools is challenging because clinical decision-making must account for an invisible task load: incorporating non-linear objective and subjective factors to make an assessment and treatment plan. This calls for a cognitive task analysis approach.

objectivesThe objectives of this study were to 1.) understand healthcare providers' decision making during a typical clinic visit, and 2.) explore how antibiotic treatment decisions are made when they arise.

methodsTwo cognitive task analysis methods were applied - Hierarchical Task Analysis (HTA) and Operations Sequence Diagramming (OSD) - to 39 h of observational data collected at family medicine, urgent care, and emergency medicine clinical sites.

resultsThe resulting HTA models included a coding taxonomy detailing ten cognitive goals and associated sub-goals and demonstrated how the goals occur as interactions between the provider and electronic health record, the patient, and the physical clinic environment. Although the HTA detailed resources for antibiotic treatment decisions, antibiotics were a minority of drug classes ordered. The OSD shows the sequence of events and when decisions are made solely at the provider level and when shared decision making occurs with the patient. Qualitative data from the observations informed a constructed vignette case example portraying select tasks from the HTA.

conclusionsThese findings emphasize that the scope of disease states presenting to a generalist clinical setting is broad and could include acute exacerbations of rare diseases within a time-pressured environment. CDS must be accessible, time efficient, and fit within the resource gathering task before treatment decisions are made.

Indexed as

Clinical Decision-MakingPatientsAmbulatory CareAmbulatory Care FacilitiesAnti-Bacterial AgentsHumansAnti-Bacterial AgentsAmbulatory careAntimicrobial stewardshipClinical decision supportCognitive task analysisHierarchical task analysisOperations sequence diagramming

Identifiers

PMID36870816
PMCPMC10206756

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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.