مانعیت و جامعیت منابع اطلاعاتی پزشکی مبتنی بر شواهد در بازیابی اطلاعات حوزه دیابت

نویسندگان
دانشگاه علوم پزشکی همدان
چکیده
زمینه و هدف: جامعیت و مانعیت دو معیار مهم برای سنجش کارایی و عملکرد نظام‌های بازیابی اطلاعات است. هدف از این پژوهش مقایسه جامعیت و مانعیت پایگاه‌های مبتنی بر شواهد در کتابخانه دیجیتال دانشگاه علوم پزشکی همدان در بازیابی اطلاعات حوزه دیابت بوده است.

روش پژوهش: طراحی این پژوهش، تحلیلی- مقطعی، نوع آن کاربردی است. تهیه فهرستی از سؤالات بالینی در این پژوهش با مراجعه به مرکز دیابت شهرستان سمیرم به مدت پنج ماه انجام گرفت، کلیدواژه‌ها در منابع اطلاعاتی آپ تو دیت، کلینیکال کی،ام بیس، کاکرین لایبری، اووید و پابمد جستجو شدند. داده‌ها با استفاده از روش آمار توصیفی و استنباطی در قالب جداول و نمودارها و آزمون کای اسکوئرو تی تست و فرمول‌های جامعیت و مانعیت تجزیه و تحلیل گردید.

یافته‌ها: یافته‌ها نشان داد که پایگاه اووید (80%)و کلینیکال‌کی (65%) مدارک مرتبط‌‌ ‌ را بازیابی کرده‌اند. بر اساس مدارک کاملاً مرتبط، پایگاه ‌اطلاعاتی اووید دارای بیشترین جامعیت (5/27%) و پایگاه اطلاعاتی پابمد دارای کمترین جامعیت (11/0%) هستند. بر اساس مدارک مرتبط و نسبتاً مرتبط، پایگاه‌های‌اطلاعاتی کلینیکال کی، ام بیس، اووید، آپ‌تو‌دیت دارای بیشترین جامعیت و پایگاه‌های‌اطلاعاتی کاکرین و پابمد دارای کمترین جامعیت هستند. بر اساس مدارک کاملاً مرتبط، پایگاه اطلاعاتی اووید دارای بیشترین مانعیت و پایگاه اطلاعاتی پابمد دارای کمترین مانعیت است. در بین پایگاه‌های مورد بررسی آپ‌تو‌دیت مدارک روزآمدتری را بازیابی کرده است.

نتیجه‌گیری: در بین پایگاه‌های بررسی شده اووید دارای جامعیت و مانعیت بیشتری است. اما به‌طور کلی تفاوت معنا داری بین جامعیت و مانعیت این پایگاه‌ها وجود نداشته است. در بین پایگاه‌های مورد بررسی آپ‌تو‌دیت مدارک روزآمدتری را بازیابی کرده است. دو پایگاه اووید و کلینیکال‌کی نسبت به پایگاه‌های دیگر مدارک مرتبط تری را بازیابی کرده‌اند.

کلیدواژه‌ها

عنوان مقاله English

The Relative generality and precision of Evidence Based Medical Infor-mation Resources in the Recovery of Diabetes Information

نویسندگان English

Hossein VakiliMofrad
Razieh Bahramian
Liyla Masuomi
Alireza Soltanian
Hamadan University of Medical Sciences
چکیده English

Background and Aim: Relative generality and precision are two important criteria for measuring the efficiency and performance of information retrieval systems. The aim of this study was to compare the integrity and location of evidence-based bases in the digital library of Hamedan University of Medical Sciences in data retrieval of diabetes.

Methods: The design of this research is cross-sectional, survey, descriptive and is an applied type. Preparing a list on clinical questions here was done as referring to the Diabetes Center in Semirom for 5 months. The following keywords were searched on databases: Up To Date, Clinical Key, Embase, Cochrane, Ovid, and PubMed Tool. The data were analyzed using the descriptive and inferential statistics in terms of tables, diagrams, chi-square test.

Results: The findings showed that both Ovid and Clinical Key databases recovered more relevant documents in contrast to other databases Based on the most relevant documents. According to the relevant and relatively relevant documents, Clinical Key, Embase, Ovid and Up To Date databases had the highest recall in contrast to the PubMed and Cochrane databases which possessed the lowest recall. According to the most relevant documents, the Ovid Database has the highest precision while the PubMed Database had the lowest precision. Among the databases, up to date had retrieved the relevant documents.

Conclusion: Ovid possesses more recall and precision among the databases analyzed, but evidence-based resources are generally well-suited to clinical questions in the field of diabetes

کلیدواژه‌ها English

Evidence-Based Medicine
resources
Recall
precision
Aalaa M., Peimani M., Aghaei meybodi H.R. (2014). A Review Of Web-Assisted Inter Ventions For The Management Of Type 2 Diabetes Mellitus. Iranian journal of Diabetes and Metabolism (ijdld).13(3): 211-22. (Persian)
Ansari, M. (2016). Evidence-based medicine. evi-dence-based librarianship. Iranian Librarian & Li-brarian2.0 ,Magazine. 2(2). (Persian)
Azadeh, F,. et al. (2015). Evaluation of the Compli-ance of Evidence Based Medicine Resources Based on Ovid Criteria. Health Inf Manage. 12(1): 87. (Persian)
Azadeh Tafaroshi F., et al. (2012). The role of librari-ans Tabriz University of Medical Sciences in Evi-dence-Based Practice. Journal of Knowledge. 3(11): 33-45. (Persian)
Bahmaee, E., Farhadpour, M. (2017). Evaluation of the performance of web search engines in retrieving the information in the field of information and knowledge based on seven indicators. Library and Information Science Studies. (DOI): 10.22055/slis.2017. 23534.1392. (Persian)
.Beydokhti, H., Haji Zeinolabedini, M. (2011). Evalu-ation of Evidence-Based Medical Information Re-sources Based on the Rate of answers provided for Clinical Questions. Journal of Health Administra-tion. 14 (44). (Persian)
Cambpell, R., Ash, j. (2006). An evaluation of five bedside information products using a user-centered.task-oriented approach. J Med Libr Assoc. 94(4): 435-7.
Crosson, JC., et al. (2010). Physicians’ Perceptions of Barriers to Cardiovascular Disease Risk Factor Con-trol among Patients with Diabetes: Results from the Translating Research into Action for Diabetes (TRIAD) Study. J Am Board Fam Med. 23(2):171–8.
Davidoff, F., et al. (1995). Evidence based medicine. BMJ: 310:1085-6.
Farrell, A. (2008). An Evaluation of the Five Most Used Evidence Based Bedside Information Tools in Canadian Health Libraries. Evidence Based Library and Information Practice. 3(2): 3-17.
Fenton, SH., Badgett, RG. (2007). A com-parison of primary care information con-tent in Up To Date and the National Guideline Clearinghouse. J Med Libr As-soc. 95(3): 255-59.
Golozar, A., et al. (2011). Diabetes Mellitus and Its Correlates in an Iranian Adult Population. PLoS One. 6(10):1-9. (Persian)
Hedari, GH. (2006). Evaluation criteria electronic information resources with emphasis on Web sites. Information Science. 20(3-4):17-32. (Persian)
Kumar, BT., Prakash, JN. (2009). Precision and Rela-tive Recall of Search Engines: A Comparative
Study of Google and Yahoo. Singapore Journal of Library & Information Management,38,124-138.
Larijan, B., Zahedi, F. (2001). Epidemiology of diabe-tes in Iran. Iranian Journal of Diabetes and Lipid Disorders. 1(1): 1-8. (Persian)
Malkizadeh, F., et al. (2016) The Study of Thematic Structure of Documents related to the Treatment of Diabetes Mellitus, Type 2 in PubMed from 2005-2014. Journal of Health Administration. 19(64). (Persian)
Mirhosseni, Z. , Babaee, A. (2013). Comparative study of recall and precision specialized medical search engines in retrieving data and gynecology systems and information services quarterly. 1(2):45-57. (Persian)
Mohamad esmael, S., Naragian, N. (2017). Compari-son of search engines and search engines to retrieve dental information. Journal of Research in Dentis-try. 52(2):118-127. (Persian)
Mohammadesmaeil Lafzighazi, S.E., Gilvari, A. (2008). Comparing Search Engines and Meta-search Enginesin Pharmaceutics Information Retrieval. Health Information Management. 5(2): 129. (Persian)
Mojiri, S. (2011). Search Online Databases of the Features Available on the Website of the Central Library of the University Based on International Standards. Health Inf Manage. 9(2):1-8. (Persian)
Rahmani, M., Haji Zeinolabedini, M. (2015). Com-pare integrity and performance of databases Science Direct and Springer. Journal of Systems and Information Services. 4(1,2): 63-74. (Persian)
Rakhshandero, S., Hedarnea, A., Rajab, A. (2006). The effect of health education on the quality of life of diabetic patients. Journal of Shahed University. 13(63):15-20. (Persian)
Rathbone, J.A. (2016) comparison of the performance of seven key bibliographic databases in identifying all relevant systematic reviews of interventions for hypertension. Biomedcentral. 5: 27.
Rosenberg W.C., et.al. (1995). Evidence based medi-cine: an approach to clinical problem-solving. Br Med J. 310:1122-6.
Sackett, DL., et al. (1996). Evidence-based medicine: what it is and what it isn't?. BMJ. 312: 71-2.
Sadegi, H., Akhvati, M. (2014). Precision and recall databases SID, MagIran, IranMedex Retrieving in-formation in the field of pharmaceutical. Health In-formation Management. 11(4): 435-442. (Persian)
Shabbidar, S., Fathi, B. (2007). Effects of nutrition education on knowledge and attitudes of type 2
diabetic patients. J Birjand Univ Med Sci. 14(1): 31-7.
Schacher, L.F. (2001). Clinical librarianship: its value in medical care. Annals of Internal Medicine. 134(8): 717.
Yarahmadi, A., et al. (2015). Effects of non-attendance information therapy on the control of Glycosylated Hemoglobin (HbA1C) in type 2 dia-betic patients in Isfahan. Modern Care, Scientific Quarterly of Birjand Nursing and Midwifery Facul-ty. 11 (4): 268-274. (Persian)
Zare, V. (2006). Evidence-based medicine approach among clinical faculty members. Med J Tabriz Univ Med Sci Health Service. 28(1): 61-6. (Persian)
Aalaa M., Peimani M., Aghaei meybodi H.R. (2014). A Review Of Web-Assisted Inter Ventions For The Management Of Type 2 Diabetes Mellitus. Iranian journal of Diabetes and Metabolism (ijdld).13(3): 211-22. (Persian)
Ansari, M. (2016). Evidence-based medicine. evi-dence-based librarianship. Iranian Librarian & Li-brarian2.0 ,Magazine. 2(2). (Persian)
Azadeh, F,. et al. (2015). Evaluation of the Compli-ance of Evidence Based Medicine Resources Based on Ovid Criteria. Health Inf Manage. 12(1): 87. (Persian)
Azadeh Tafaroshi F., et al. (2012). The role of librari-ans Tabriz University of Medical Sciences in Evi-dence-Based Practice. Journal of Knowledge. 3(11): 33-45. (Persian)
Bahmaee, E., Farhadpour, M. (2017). Evaluation of the performance of web search engines in retrieving the information in the field of information and knowledge based on seven indicators. Library and Information Science Studies. (DOI): 10.22055/slis.2017. 23534.1392. (Persian)
.Beydokhti, H., Haji Zeinolabedini, M. (2011). Evalu-ation of Evidence-Based Medical Information Re-sources Based on the Rate of answers provided for Clinical Questions. Journal of Health Administra-tion. 14 (44). (Persian)
Cambpell, R., Ash, j. (2006). An evaluation of five bedside information products using a user-centered.task-oriented approach. J Med Libr Assoc. 94(4): 435-7.
Crosson, JC., et al. (2010). Physicians’ Perceptions of Barriers to Cardiovascular Disease Risk Factor Con-trol among Patients with Diabetes: Results from the Translating Research into Action for Diabetes (TRIAD) Study. J Am Board Fam Med. 23(2):171–8.
Davidoff, F., et al. (1995). Evidence based medicine. BMJ: 310:1085-6.
Farrell, A. (2008). An Evaluation of the Five Most Used Evidence Based Bedside Information Tools in Canadian Health Libraries. Evidence Based Library and Information Practice. 3(2): 3-17.
Fenton, SH., Badgett, RG. (2007). A com-parison of primary care information con-tent in Up To Date and the National Guideline Clearinghouse. J Med Libr As-soc. 95(3): 255-59.
Golozar, A., et al. (2011). Diabetes Mellitus and Its Correlates in an Iranian Adult Population. PLoS One. 6(10):1-9. (Persian)
Hedari, GH. (2006). Evaluation criteria electronic information resources with emphasis on Web sites. Information Science. 20(3-4):17-32. (Persian)
Kumar, BT., Prakash, JN. (2009). Precision and Rela-tive Recall of Search Engines: A Comparative
Study of Google and Yahoo. Singapore Journal of Library & Information Management,38,124-138.
Larijan, B., Zahedi, F. (2001). Epidemiology of diabe-tes in Iran. Iranian Journal of Diabetes and Lipid Disorders. 1(1): 1-8. (Persian)
Malkizadeh, F., et al. (2016) The Study of Thematic Structure of Documents related to the Treatment of Diabetes Mellitus, Type 2 in PubMed from 2005-2014. Journal of Health Administration. 19(64). (Persian)
Mirhosseni, Z. , Babaee, A. (2013). Comparative study of recall and precision specialized medical search engines in retrieving data and gynecology systems and information services quarterly. 1(2):45-57. (Persian)
Mohamad esmael, S., Naragian, N. (2017). Compari-son of search engines and search engines to retrieve dental information. Journal of Research in Dentis-try. 52(2):118-127. (Persian)
Mohammadesmaeil Lafzighazi, S.E., Gilvari, A. (2008). Comparing Search Engines and Meta-search Enginesin Pharmaceutics Information Retrieval. Health Information Management. 5(2): 129. (Persian)
Mojiri, S. (2011). Search Online Databases of the Features Available on the Website of the Central Library of the University Based on International Standards. Health Inf Manage. 9(2):1-8. (Persian)
Rahmani, M., Haji Zeinolabedini, M. (2015). Com-pare integrity and performance of databases Science Direct and Springer. Journal of Systems and Information Services. 4(1,2): 63-74. (Persian)
Rakhshandero, S., Hedarnea, A., Rajab, A. (2006). The effect of health education on the quality of life of diabetic patients. Journal of Shahed University. 13(63):15-20. (Persian)
Rathbone, J.A. (2016) comparison of the performance of seven key bibliographic databases in identifying all relevant systematic reviews of interventions for hypertension. Biomedcentral. 5: 27.
Rosenberg W.C., et.al. (1995). Evidence based medi-cine: an approach to clinical problem-solving. Br Med J. 310:1122-6.
Sackett, DL., et al. (1996). Evidence-based medicine: what it is and what it isn't?. BMJ. 312: 71-2.
Sadegi, H., Akhvati, M. (2014). Precision and recall databases SID, MagIran, IranMedex Retrieving in-formation in the field of pharmaceutical. Health In-formation Management. 11(4): 435-442. (Persian)
Shabbidar, S., Fathi, B. (2007). Effects of nutrition education on knowledge and attitudes of type 2
diabetic patients. J Birjand Univ Med Sci. 14(1): 31-7.
Schacher, L.F. (2001). Clinical librarianship: its value in medical care. Annals of Internal Medicine. 134(8): 717.
Yarahmadi, A., et al. (2015). Effects of non-attendance information therapy on the control of Glycosylated Hemoglobin (HbA1C) in type 2 dia-betic patients in Isfahan. Modern Care, Scientific Quarterly of Birjand Nursing and Midwifery Facul-ty. 11 (4): 268-274. (Persian)
Zare, V. (2006). Evidence-based medicine approach among clinical faculty members. Med J Tabriz Univ Med Sci Health Service. 28(1): 61-6. (Persian)