Analysis of Access to Medical Information of Residents of Different Ages in Guangzhou
World Journal of Public Health
Volume 4, Issue 2, June 2019, Pages: 30-33
Received: Apr. 3, 2019;
Accepted: May 14, 2019;
Published: May 30, 2019
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Gefei Yan, Personnel Section, The First Affiliated Hospital, Jinan University, Guangzhou, China
Tengfeng Zhuang, Department of Orthopedics, the First Affiliated Hospital, Jinan University, Guangzhou, China
Ning Liu, Department of Orthopedics, the First Affiliated Hospital, Jinan University, Guangzhou, China
Huige Hou, Department of Orthopedics, the First Affiliated Hospital, Jinan University, Guangzhou, China
Zhengang Zha, Department of Orthopedics, the First Affiliated Hospital, Jinan University, Guangzhou, China
Songwei Huan, Department of Orthopedics, the First Affiliated Hospital, Jinan University, Guangzhou, China
We conducted a field investigation of 803 residents in Guangzhou through a self-designed questionnaire to analyze the ways in which residents of different ages obtained medical information and the differences in trust in medical information. The survey results show that residents of different ages have different access to medical information and their respective trust levels are also different. This is the reason why relevant units and departments should publish targeted information according to each age group, in order to enable residents to obtain medical information more efficiently. The survey results of this study also show that the new media had a large proportion in the current access to medical information, so the new media has great potential. Among these ways, the professional medical platform (non-hospital medical platform, official hospital platform) accounted for a small proportion, so it has not yet become the main channel for patients to obtain medical information. The We media (WeChat and Weibo) and other popular social software were very popular among the young people group (18 ~ 39 years old), which accounted for the largest proportion, and these kinds of media may be related to its huge number of basic users.
Analysis of Access to Medical Information of Residents of Different Ages in Guangzhou, World Journal of Public Health.
Vol. 4, No. 2,
2019, pp. 30-33.
Antipov EA and Pokryshevskaya EB. The effects of adverse drug reactions on patients' satisfaction: Evidence from publicly available data on Tamiflu (oseltamivir). Int J Med Inform 2019; 125: 30-36.
McDonald S, Fabbri A, Parker L, Williams J and Bero L. Medical donations are not always free: an assessment of compliance of medicine and medical device donations with World Health Organization guidelines (2009-2017). Int Health 2019.
Pierce CE, de Vries ST, Bodin-Parssinen S, Harmark L, Tregunno P, Lewis DJ, Maskell S, Van Eemeren R, Ptaszynska-Neophytou A, Newbould V, Dasgupta N, Wisniewski AFZ, Gama S and Mol PGM. Recommendations on the Use of Mobile Applications for the Collection and Communication of Pharmaceutical Product Safety Information: Lessons from IMI WEB-RADR. Drug Saf 2019; 42: 477-489.
Zucker BE and Kontovounisios C. It is time to improve the quality of medical information distributed to students across social media. Adv Med Educ Pract 2018; 9: 203-205.
Slobodin O, Heffler KF and Davidovitch M. Screen Media and Autism Spectrum Disorder: A Systematic Literature Review. J Dev Behav Pediatr 2019;
Lin JA, Hsu AT, Huang JJ, Daniel BW, Lee CH, Kwon SH, Tang ET, Chu CF, Chien CT, Chuang DC, Lu JC, Koshima I, Wang ZT, Hao L, Chen C and Chang TN. Impact of Social Media on Current Medical Conferences. J Reconstr Microsurg 2019.
Scott T, Liddle J, Mitchell G, Beattie E and Pachana N. Implementation and evaluation of a driving cessation intervention to improve community mobility and wellbeing outcomes for people living with dementia: study protocol of the 'CarFreeMe' for people with dementia program. BMC Geriatr 2019; 19: 66.
Wu D, Tang W, Lu H, Zhang TP, Cao B, Ong JJ, Lee A, Liu C, Huang W, Fu R, Li K, Pan SW, Zhang Y, Fu H, Wei C and Tucker JD. Leading by Example: Web-Based Sexual Health Influencers Among Men Who Have Sex With Men Have Higher HIV and Syphilis Testing Rates in China. J Med Internet Res 2019; 21: e10171.
Drozd-Dabrowska M, Topczewska K, Korzen M, Salacka A and Ganczak M. Parental Knowledge about Meningococcal Disease and Vaccination Uptake among 0(-)5 years Old Polish Children. Int J Environ Res Public Health 2019; 16(2).
Anil OM, Yadav RS, Shrestha N, Koirala S, Shrestha S, Nikhil OM, Baidar M, Chaudhary N, Jaishwal C, Yadav NS, Mahara AB, Jha RK and Poudyal AK. Prevalence of Cardiovascular Risk Factors in Apparently Healthy Urban Adult Population of Kathmandu. J Nepal Health Res Counc 2019; 16: 438-445.
Lin GH, Huang YJ, Chou YT, Chiang HY and Hsieh CL. Computerized Adaptive Testing System of Functional Assessment of Stroke. J Vis Exp 2019.
Mueller SM, Jungo P, Cajacob L, Schwegler S, Itin P and Brandt O. The Absence of Evidence is Evidence of Non-Sense: Cross-Sectional Study on the Quality of Psoriasis-Related Videos on YouTube and Their Reception by Health Seekers. J Med Internet Res 2019; 21: e11935.
Qian Y, Piatkevich KD, Mc Larney B, Abdelfattah AS, Mehta S, Murdock MH, Gottschalk S, Molina RS, Zhang W, Chen Y, Wu J, Drobizhev M, Hughes TE, Zhang J, Schreiter ER, Shoham S, Razansky D, Boyden ES and Campbell RE. A genetically encoded near-infrared fluorescent calcium ion indicator. Nat Methods 2019; 16: 171-174.
Hill JA, Agewall S, Baranchuk A, Booz GW, Borer JS, Camici PG, Chen PS, Dominiczak AF, Erol C, Grines CL, Gropler R, Guzik TJ, Heinemann MK, Iskandrian AE, Knight BP, London B, Luscher TF, Metra M, Musunuru K, Nallamothu BK, Natale A, Saksena S, Picard MH, Rao SV, Remme WJ, Rosenson RS, Sweitzer NK, Timmis A and Vrints C. Medical Misinformation. Circ Genom Precis Med 2019; 12: e002439.
Kendal E. Public health crises in popular media: how viral outbreak films affect the public's health literacy. Med Humanit 2019.