دورية أكاديمية
Googling for a veterinary diagnosis: A replication study using Google as a diagnostic aid.
العنوان: | Googling for a veterinary diagnosis: A replication study using Google as a diagnostic aid. |
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المؤلفون: | Allen EC; Red Bank Veterinary Hospitals, Tinton Falls, New Jersey, USA., Alpi KM; College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA.; Oregon Health & Science University, Portland, Oregon, USA., Schaaf GW; Wake Forest University School of Medicine, Winston Salem, North Carolina, USA., Marks SL; College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA. |
المصدر: | Journal of veterinary internal medicine [J Vet Intern Med] 2022 Jul; Vol. 36 (4), pp. 1466-1470. Date of Electronic Publication: 2022 Jul 11. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Wiley Periodicals Country of Publication: United States NLM ID: 8708660 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-1676 (Electronic) Linking ISSN: 08916640 NLM ISO Abbreviation: J Vet Intern Med Subsets: MEDLINE |
أسماء مطبوعة: | Publication: <2010-> : Malden, MA : Wiley Periodicals Original Publication: Philadelphia : J.B. Lippincott Co., [c1987- |
مواضيع طبية MeSH: | Search Engine* , Veterinarians*, Cat Diseases/*diagnosis , Dog Diseases/*diagnosis , Veterinary Medicine/*methods, Animals ; Cats ; Cross-Sectional Studies ; Diagnosis, Differential ; Dogs ; Veterinary Medicine/trends |
مستخلص: | Background: The purpose of this study was to replicate in the veterinary context a BMJ study using Google to assist in diagnosis of complex cases. Hypothesis/objectives: To assess percentage of diagnoses identified using Google as a diagnostic aid in veterinary medicine. Animals: None; 13 cases in cats and 17 in dogs published in JAVMA. Methods: Cross-sectional survey of Google results from searches using keywords generated independently by a generalist and a specialist veterinarian who reviewed the published case history and diagnostic components while blind to the diagnosis. They offered diagnoses and generated up to 5 search strategies for each case. The top 30 Google results for each search were reviewed by the generalist to inform a final Google-aided diagnosis. Both veterinarians' initial diagnoses and the Google-aided diagnoses were compared with the published diagnoses. Results: Google searching led to 52 diagnoses out of 60 possible. Twenty-two (42%, 95% confidence interval [95% CI] 29%-55%) Google-aided diagnoses matched the JAVMA diagnosis. This accuracy rate does not differ significantly from 58% (n = 15/26, 95% CI 38%-77%) identified in the BMJ study. Google-aided results were not statistically different from those achieved unaided by each veterinarian (33%, 95% CI 16%-50%). Conclusions and Clinical Importance: Published information found searching Google using keywords related to complicated or unusual cases could assist veterinarians to reinforce their initial diagnosis or consider other differential diagnoses. Search strategies using words representing either signs or the preliminary diagnoses can yield results useful to confirming a correct diagnosis. (© 2022 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine.) |
References: | BMJ. 2006 Dec 16;333(7581):1270-1. (PMID: 17170420) Swiss Med Wkly. 2008 Dec 13;138(49-50):741-5. (PMID: 19130327) Intern Med J. 2009 Jul;39(7):459-64. (PMID: 19664156) Eur J Intern Med. 2009 Dec;20(8):788-90. (PMID: 19892310) F1000Res. 2013 Mar 14;2:90. (PMID: 24627777) BMJ. 2006 Dec 2;333(7579):1143-5. (PMID: 17098763) J Vet Intern Med. 2022 Jul;36(4):1466-1470. (PMID: 35815912) J Med Libr Assoc. 2021 Apr 01;109(2):212-218. (PMID: 34285664) |
فهرسة مساهمة: | Keywords: differential diagnoses; information resources; open access; problem lists |
تواريخ الأحداث: | Date Created: 20220711 Date Completed: 20220726 Latest Revision: 20220801 |
رمز التحديث: | 20221213 |
مُعرف محوري في PubMed: | PMC9308411 |
DOI: | 10.1111/jvim.16484 |
PMID: | 35815912 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1939-1676 |
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DOI: | 10.1111/jvim.16484 |