IJAAS
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International ADVANCED AND APPLIED SCIENCES EISSN: 2313-3724, Print ISSN: 2313-626X Frequency: 12 |
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Volume 7, Issue 3 (March 2020), Pages: 104-112 ---------------------------------------------- Original Research Paper Title: Biostatistical analysis knowledge of pharmacy research in the Kingdom of Saudi Arabia Author(s): Yousef Ahmed Alomi 1, *, Ali Faris Altebainawi 2, 3, 4, Abdulsalam Awadh Alharbi 5, Ammar Ali Alabdullatif 6, 7, 8 Affiliation(s): 1General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, Saudi Arabia * Corresponding Author. Corresponding author's ORCID profile: https://orcid.org/0000-0003-1381-628X Digital Object Identifier: https://doi.org/10.21833/ijaas.2020.03.011 Abstract: The aim of the current study is to explore the Biostatistical analysis of basic knowledge of Pharmacy Research in the Kingdom of Saudi Arabia. It is a 4-months cross-sectional survey of biostatistical knowledge used in pharmacy research. The survey consisted of two-part demographic information and the second part about pharmacist information related to the biostatistical analysis knowledge of pharmaceutical research. The 5-point Likert response scale system used. There were two methods for validation done in the current study; more than two of the authors reviewed the survey independently, the pilot study had been done, then the survey corrects accordingly, and the Cronbach's alpha test for internal reliability. The survey made an electronic format, and it analyzed through Statically Package of Social Sciences (SPSS) version 20, and survey monkey system. The total response was 209 pharmacists. The average score level of knowledge of using all types of statistical analyses in Pharmacy research was (3.23) 64.6 %. The top highest scores of the knowledge of type statistical analysis were Mean (3.73), P-value (3.70), and Standard Deviation (3.67). While the lowest score knowledge of type statistical analysis was Tukey test (2.64), McNemar Test (2.70), and Yates correction for Chi-Square (2.87). The average score level of knowledge of using the software in the statistical analysis in the Pharmacy research was (3.24) 64.8 %. The top highest scores of the experience were Microsoft Excel (3.82), and Microsoft Access (3.29); while the lowest score knowledge was SAS (2.75), and SPSS (3.08). The Cronbach's alpha test results were 0.985. The biostatistical analysis knowledge among pharmacists inadequate in the Saudi Arabia, similar to previous studies. Comprehensive education and training of biostatistics used in pharmacy research are very demandable for pharmacists in Saudi Arabia. Further study with a large scale of the pharmacist, including students, is highly recommended in the Kingdom of Saudi Arabia. © 2020 The Authors. Published by IASE. This is an Keywords: Biostatistical analysis, Biostatistics, Pharmacy research, Pharmacy education, Saudi Arabia Article History: Received 7 October 2019, Received in revised form 2 January 2020, Accepted 5 January 2020 Acknowledgment: No Acknowledgment. Availability of data and material: The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request. Authors' contributions: YA started the research idea. AF and YA have written the paper; AF has supervised the research; YA has analyzed and interpreted the data; AF, AT and AH worked on data collection and prepared the manuscript. Each author listed on the manuscript has seen and approved the submission of the present version of the manuscript and takes full responsibility for the manuscript. Compliance with ethical standards Conflict of interest: The authors declare that they have no conflict of interest. Citation: Alomi YA, Altebainawi AF, and Alharbi AA et al. (2020). Biostatistical analysis knowledge of pharmacy research in the Kingdom of Saudi Arabia. International Journal of Advanced and Applied Sciences, 7(3): 104-112 Figures No Figure Tables Table 1 Table 2 Table 3 Table 4 Table 5 ---------------------------------------------- References (36) Abubakar U, Sulaiman SA, Usman MN, and Umar MD (2018). Nigerian pharmacists' self-perceived competence and confidence to plan and conduct pharmacy practice research. Pharmacy Practice (Granada), 16: 1. https://doi.org/10.18549/PharmPract.2018.01.1152 [Google Scholar] PMid:29619141 PMCid:PMC5881485 Akobeng AK (2016). Understanding type I and type II errors, statistical power and sample size. Acta Paediatrica, 105(6): 605-609. https://doi.org/10.1111/apa.13384 [Google Scholar] PMid:26935977 Alomi YA, Alghamdi SJ, Alattyh RA, and Elshenawy RA (2018c). The evaluation of pharmacy strategic plan in past 2013-2016 and forecasting of new vision 2030 at ministry of health in Saudi Arabia. Journal of Pharmacy Practice and Community Medicine, 4(2): 93-101. https://doi.org/10.5530/jppcm.2018.2.22 [Google Scholar] Alomi YA, Alghamdi SJ, and Alattyh RA (2015). Strategic plan of general administration of pharmaceutical care at ministry of health in Saudi Arabia 2012–2022. Journal of Pharmacy and Pharmaceutical Sciences, 1(3): 1-8. https://doi.org/10.24218/vjpps.2015.11 [Google Scholar] Alomi YA, Alghamdi SJ, and Alattyh RA (2018b). National survey of pharmacy practice at MOH Hospitals in Saudi Arabia 2016-2017: Pharmacy computerized and technology. Journal of Pharmacy Practice and Community Medicine, 4(1s): S40–S46. https://doi.org/10.5530/jppcm.2018.1s.18 [Google Scholar] Alomi YA, Shorog E, Alshahrani A, Alasmary S, Alenazi H, Almutairi A, and Almutairi M (2018a). National survey of pharmacy practice at MOH hospitals in Saudi Arabia 2016-2017: Clinical pharmacy services. Journal of Pharmacy Practice and Community Medicine, 4(1s): S1-S8. https://doi.org/10.5530/jppcm.2018.1s.12 [Google Scholar] Alomi YA, Shorog E, Alshahrani A, Alasmary S, Alenazi H, Almutairi A, and Almutairi M (2018d). National survey of pharmacy practice at MOH hospitals in Saudi Arabia 2016-2017: Preparation of medications and dispensing. Journal of Pharmacy Practice and Community Medicine, 4(1s): S47-S53. https://doi.org/10.5530/jppcm.2018.1s.19 [Google Scholar] Al-Zahrani SH and Al-Khail BAA (2015). Resident physician’s knowledge and attitudes toward biostatistics and research methods concepts. Saudi Medical Journal, 36(10): 1236–1240. https://doi.org/10.15537/smj.2015.10.11842 [Google Scholar] PMid:26446338 PMCid:PMC4621733 Asiri YA (2011). Emerging frontiers of pharmacy education in Saudi Arabia: The metamorphosis in the last fifty years. Saudi Pharmaceutical Journal, 19(1): 1-8. https://doi.org/10.1016/j.jsps.2010.10.006 [Google Scholar] PMid:23960737 PMCid:PMC3744965 Awaisu A and Alsalimy N (2015). Pharmacists' involvement in and attitudes toward pharmacy practice research: A systematic review of the literature. Research in Social and Administrative Pharmacy, 11(6): 725-748. https://doi.org/10.1016/j.sapharm.2014.12.008 [Google Scholar] PMid:25698363 Awaisu A, Bakdach D, Elajez RH, and Zaidan M (2015). Hospital pharmacists’ self-evaluation of their competence and confidence in conducting pharmacy practice research. Saudi Pharmaceutical Journal, 23(3): 257-265. https://doi.org/10.1016/j.jsps.2014.10.002 [Google Scholar] PMid:26106274 PMCid:PMC4475816 Banerjee A, Chitnis UB, Jadhav SL, Bhawalkar JS, and Chaudhury S (2009). Hypothesis testing, type I and type II errors. Industrial Psychiatry Journal, 18(2): 127-131. https://doi.org/10.4103/0972-6748.62274 [Google Scholar] PMid:21180491 PMCid:PMC2996198 Berwick DM, Fineberg HV, and Weinstein MC (1981). When doctors meet numbers. The American Journal of Medicine, 71(6): 991-998. https://doi.org/10.1016/0002-9343(81)90325-9 [Google Scholar] Bhagavathula AS, Gebreyohannes EA, Gebresillassie BM, Erku DA, Negesse CT, and Belay YB (2017). Community pharmacists’ interest in and attitude to pharmacy practice research in Ethiopia: A cross-sectional study. PloS One, 12(6): e0178919. https://doi.org/10.1371/journal.pone.0178919 [Google Scholar] PMid:28617834 PMCid:PMC5472273 Bookstaver PB, Miller AD, Felder TM, Tice DL, Norris LB, and Sutton SS (2012). Assessing pharmacy residents' knowledge of biostatistics and research study design. Annals of Pharmacotherapy, 46(7-8): 991-999. https://doi.org/10.1345/aph.1Q772 [Google Scholar] PMid:22828969 Brimacombe MB (2014). Biostatistical and medical statistics graduate education. BMC Medical Education, 14: 18. https://doi.org/10.1186/1472-6920-14-18 [Google Scholar] PMid:24472088 PMCid:PMC3907662 Cailor SM, Chen AM, Kiersma ME, and Keib CN (2017). The impact of a research course on pharmacy students’ perceptions of research and evidence-based practice. Currents in Pharmacy Teaching and Learning, 9(1): 28-36. https://doi.org/10.1016/j.cptl.2016.08.031 [Google Scholar] PMid:29180150 Davies G, Dodds L, Fleet E, Horne R, and Joshua A (1993). Pharmacy practice research in the hospitals of South East Thames regional health authority, England. International Journal of Pharmacy Practice, 2(3): 184-188. https://doi.org/10.1111/j.2042-7174.1993.tb00756.x [Google Scholar] Deshpande PR, Farooq KK, John DM, and Rao EJ (2012). Pharm D: A new concept in India. Journal of Pharmacy and Bioallied Sciences, 4(1): 84-86. https://doi.org/10.4103/0975-7406.92746 [Google Scholar] PMid:22368406 PMCid:PMC3283964 Ferrill MJ, Norton LL, and Blalock SJ (1999). Determining the statistical knowledge of pharmacy practitioners: A survey and review of the literature. American Journal of Pharmaceutical Education, 63(4): 371-376. [Google Scholar] Garipelly R, Garg S, and Mateti UV (2012). Emerging doctor of pharmacy program in India: A survey on general opinion of selected educated Indians. Journal of Research in Pharmacy Practice, 1(2): 48-54. https://doi.org/10.4103/2279-042X.108370 [Google Scholar] PMid:24991589 PMCid:PMC4076861 Horton NJ and Switzer SS (2005). Statistical methods in the journal. New England Journal of Medicine, 353(18): 1977-1979. https://doi.org/10.1056/NEJM200511033531823 [Google Scholar] PMid:16267336 Kim HY (2015). Statistical notes for clinical researchers: Type I and type II errors in statistical decision. Restorative Dentistry and Endodontics, 40(3): 249-252. https://doi.org/10.5395/rde.2015.40.3.249 [Google Scholar] PMid:26295030 PMCid:PMC4534731 Lee CM, Soin HK and Einarson TR (2004). Statistics in the pharmacy literature. Annals of Pharmacotherapy, 38(9): 1412-1418. https://doi.org/10.1345/aph.1D493 [Google Scholar] PMid:15199191 McColl A, Smith H, White P, and Field J (1998). General practitioners' perceptions of the route to evidence based medicine: A questionnaire survey. BMJ Journal, 316(7128): 361-365. https://doi.org/10.1136/bmj.316.7128.361 [Google Scholar] PMid:9487174 PMCid:PMC2665572 Murphy JR (2004). Statistical errors in immunologic research. Journal of Allergy and Clinical Immunology, 114(6): 1259-1263. https://doi.org/10.1016/j.jaci.2004.09.023 [Google Scholar] PMid:15577818 Neville JA, Lang W, and Fleischer AB (2006). Errors in the archives of dermatology and the journal of the American academy of dermatology from January through December 2003. Archives of Dermatology, 142(6): 737-740. https://doi.org/10.1001/archderm.142.6.737 [Google Scholar] PMid:16785376 O'Donnell CA (2004). Attitudes and knowledge of primary care professionals towards evidence‐based practice: A postal survey. Journal of Evaluation in Clinical Practice, 10(2): 197-205. https://doi.org/10.1111/j.1365-2753.2003.00458.x [Google Scholar] PMid:15189386 Polychronopoulou A, Eliades T, Taoufik K, Papadopoulos MA, and Athanasiou AE (2011). Knowledge of European orthodontic postgraduate students on biostatistics. The European Journal of Orthodontics, 33(4): 434-440. https://doi.org/10.1093/ejo/cjq098 [Google Scholar] PMid:21076157 Schatz P, Jay KA, McComb J, and McLaughlin JR (2005). Misuse of statistical tests in archives of clinical neuropsychology publications. Archives of Clinical Neuropsychology, 20(8): 1053-1059. https://doi.org/10.1016/j.acn.2005.06.006 [Google Scholar] PMid:16095871 Schober P, Bossers SM, Dong PV, Boer C, and Schwarte LA (2017). What do anesthesiologists know about p values, confidence intervals, and correlations: A pilot survey. Anesthesiology Research and Practice, 2017: Article ID 4201289. https://doi.org/10.1155/2017/4201289 [Google Scholar] PMid:29158732 PMCid:PMC5660771 Shetty AC, Al Rasheed NM, and Albwardi SA (2015). Dental professionals’ attitude towards biostatistics. Journal of Dentistry and Oral Hygiene, 7(7): 113-118. https://doi.org/10.5897/JDOH2015.0161 [Google Scholar] Streetman DS, McCreadie SR, McGregory M, and Ellis JJ (2006). Evaluation of clinical research knowledge and interest among pharmacy residents: Survey design and validation. American Journal of Health-System Pharmacy, 63(23): 2372-2377. https://doi.org/10.2146/ajhp060099 [Google Scholar] PMid:17106011 Windish DM, Huot SJ, and Green ML (2007). Medicine residents' understanding of the biostatistics and results in the medical literature. JAMA, 298(9): 1010-1022. https://doi.org/10.1001/jama.298.9.1010 [Google Scholar] PMid:17785646 Wulff HR, Andersen B, Brandenhoff P, and Guttler F (1987). What do doctors know about statistics? Statistics in Medicine, 6(1): 3-10. https://doi.org/10.1002/sim.4780060103 [Google Scholar] PMid:3576014 Ye ZK, Li C, and Zhai SD (2014). Guidelines for therapeutic drug monitoring of vancomycin: A systematic review. PLoS One, 9(6): e99044. https://doi.org/10.1371/journal.pone.0099044 [Google Scholar] PMid:24932495 PMCid:PMC4059638 |