T
Thomas K. Houston
Researcher at Wake Forest University
Publications - 212
Citations - 9295
Thomas K. Houston is an academic researcher from Wake Forest University. The author has contributed to research in topics: Smoking cessation & Health care. The author has an hindex of 45, co-authored 203 publications receiving 8402 citations. Previous affiliations of Thomas K. Houston include University of Alabama at Birmingham & Johns Hopkins University School of Medicine.
Papers
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Journal ArticleDOI
Patient Complexity and Diabetes Quality of Care in Rural Settings
Amanda H. Salanitro,Monika M. Safford,Thomas K. Houston,Jessica H. Williams,Fernando Ovalle,Pamela Payne-Foster,Jeroan J. Allison,Carlos A. Estrada,Carlos A. Estrada +8 more
TL;DR: Basing public reporting and resource allocation on quality assessment that does not account for patient characteristics may further harm this vulnerable group of patients and physicians in the rural United States.
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Translating preoperative smoking cessation interventions into routine clinical care of veterans: provider beliefs
TL;DR: Most providers believe that smoking cessation would reduce postoperative complications, with the ideal location for the intervention being the primary care clinic, and that some surgical cases should be delayed for this intervention.
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The Importance of Measuring Competency-Based Outcomes: Standard Evaluation Measures Are Not Surrogates for Clinical Performance of Internal Medicine Residents
Lisa L. Willett,Gustavo R. Heudebert,Katri P. Palonen,F. Stanford Massie,Catarina I. Kiefe,Jeroan J. Allison,Joshua S. Richman,Thomas K. Houston +7 more
TL;DR: Standard measures are not adequate surrogates for measuring clinical outcomes and supports the Accreditation Council for Graduate Medical Education's recommendations to incorporate novel Toolbox measures, like chart audit, into residency evaluations.
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Dissemination and Effectiveness of the Peer Marketing and Messaging of a Web-Assisted Tobacco Intervention: Protocol for a Hybrid Effectiveness Trial.
Jamie M Faro,Elizabeth Aaker Orvek,Amanda C. Blok,Amanda C. Blok,Catherine S. Nagawa,Annalise J McDonald,Gregory Seward,Thomas K. Houston,Ariana Kamberi,Jeroan J. Allison,Sharina D. Person,Bridget Smith,Bridget Smith,Kathleen Brady,Tina Grosowsky,Lewis L Jacobsen,Jennifer Paine,James M Welch,Rajani S. Sadasivam +18 more
TL;DR: This study aims to evaluate the effectiveness of a machine learning–based approach (recommender system) for computer-tailored health communication over a standard CTHC system based on quit rates and risk reduction and assess the dissemination of providing access to a peer recruitment toolset on recruitment rate and variability of the sample.
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Inappropriate nonsteroidal anti-inflammatory drug use: prevalence and predictors.
TL;DR: Estimating the prevalence of inappropriate NSAID use and identifying characteristics associated with inappropriate use found that it is prevalent and providers should consider counseling all patients about NSAIDs, especially patients with GI problems or pain problems.