Abstract:OBJECTIVE To reconstruct the knowledge, beliefs and behaviors(knowledge, attitude, practice, KAP) model of safe medication, analyze the mechanism of action among various factors, and compare differences in different educational situations, and provide intervention basis for targeted improvement of women's safe medication level. METHODS Using the 2017-2020 database of the Chinese Association for Science and Technology “Smart Mother Action” project “Chinese Women's Drug Safety Behavior Risk KAP Survey Research”, one-way analysis of variance was used to explore the demographic characteristics of the difference in KAP levels, and the structural equation model is used to test the fit of the KAP model and explore the influencing factors of the KAP model, using multiple sets of structural equations to explore whether there are differences in the internal correlations of the latent variables under different education situations. RESULTS The knowledge score is( 27.88±6.36 )points(10-50), the attitude score is(15.19±5.03) points(6-30), and the behavior score is(35.22±7.75) points(10-50). There are statistical differences in knowledge, attitude and behavior scores in different places of residence. There are statistical differences in knowledge and attitude scores for different ages, education conditions and work conditions. In the structural equation model, the direct effect of knowledge on safe medication behavior is -0.128, while the indirect effect through attitude is 0.078, and the total effect of safe medication knowledge on safe medication behavior is -0.050. The direct effect of safe medication attitude on behavior is 0.154. The results of multiple sets of structural equations showed that the KAP models of different education levels were basically the same, and the structural weight test was inconsistent(Δχ2=386.71,Δdf=23, P<0.01). The mechanism and path coefficient of the KAP model of safe drug use in different educational situations are statistically significant, but the intensity of action is different. CONCLUSION Insufficient knowledge and misunderstandings of behavior are important reasons for the hidden dangers of drug use among women in my country. Knowledge affects behavior through attitudes, and does not directly affect behavior. There are differences in the path coefficients between the latent variables of the KAP model of different education levels, so different KAP levels of safe medication should be improved for different education levels.
李轶凡, 冯欣, 马小磊, 王安妮, 刘正. 我国妇女人群安全用药知信行现况的多组结构方程模型分析[J]. 中国药学杂志, 2022, 57(12): 966-971.
LI Yi-fan, Feng Xin, MA Xiao-lei, WANG An-ni, LIU Zheng. A Multiple Structural Equation Model Analysis of the Current Situation of Safe Drug Use Among Chinese Women. Chinese Pharmaceutical Journal, 2022, 57(12): 966-971.
LI X L, REN H Q. Investigation on hostel drug use risk management mode[J]. China Pharm(中国药业),2016,25(22):82-85.
[2]
WANG X F, HE Q, LIU C. Influence of theory of planned behavior to self-medication behavior of tianjin residents[J]. Chin J Pharmacoepidemiol(药物流行病学杂志),2019,28(4):241-244.
[3]
YIN W Q, HU J W, GUO H W, et al. Essential drugs use behavior in rural residents:an analysis based on theory of planned behavior[J]. Chin J Public Health(中国公共卫生),2015,31(4):428-430.
[4]
ZHOU H, WU T H, HAN Z X, et al. Popularization of knowledge about drug safety among the elderly in rural areas[J]. World Latest Med Inf(世界最新医学信息文摘), 2020,20(20):187-188.
[5]
WANG Y Q, LI Y Z, ZHEN J C. Basic Skills and Practice of Hospital Pharmacists(医院药师基本技能与实践)[M]. Beijing: People's Medical Publishing House,2013.
[6]
ZHEN J C, LU J, MEI D, et al. Pharmacy service regulations of medical institutions[J]. Her Med(医药导报),2019,38(12):1535-1556.
[7]
CPC Central Committee and State Council. The central committee of the communist party of China and the state council issued the "Outline of the "Healthy China 2030" Plan”.[OB/OL].[2016-10-25](2021-04-12). http://www.gov.cn/zhengce/2016-10/25/content_5124174.htm.
[8]
YANG Y H, XU X L, ZHU Z. Knowledge, Attitudes, and practices(KAP) survey on the safety of anti-tumor drugin hospital discharge among hospital pharmacist[J]. Chin Pharm J(中国药学杂志), 2020,55(6):480-485.
[9]
SU T M, PAN Z G, GAO J L. Development and validation of a questionnaire on knowledge attitudebelief practice in high risk groups of gestational diabetes mellitus[J]. Fudan Univ J Med Sci(复旦学报 医学版),2020,47(5):728-734.
[10]
ZHU W L, CHENG H J, YANG L B, et al.A model analysis on the knowledge-attitude-practice of children guardians in Jiangxi,Shanghai and Qinghai[J]. Chin J Epidemiol(中华流行病学杂志),2021,42(2):309-315.
[11]
LI Y F, GAI D, HAN Z H, et al.The influencing factors of drug use risk among Beijing residents[J]. Clin Med J(临床药物治疗杂志),2019,17(3):59-63.
[12]
ZHANG J Y, GUO X R, WU X W, et al. KAP investigation and influential factor study of medication risk among residents[J]. J China Pharm(中国药房), 2018,29(11):1445-1448.
[13]
GUO Z G, WANG H,LV Q H, et al. Comparison of proper usage of medicines for elderly between China and foreign countries[J]. J Changchun Univ Chin Med(长春中医药大学学报),2019,35(1):185-187,192.
[14]
LIN X T, ZHANG Y, HE G R.Investigation of cognitionand behavior of family medication among elderly residents in different areas[J].Nurs J Chin PLA(解放军护理杂志),2018,35(10):20-24.
[15]
NICLóS G,OLIVAR T,RODILLA V. Factors associated with self-medication in Spain: a cross-sectional study in different age groups[J]. Int J Pharm Pract, 2018, 26(3): 258-266.
[16]
HE Z, JI L, TANG S F, et al. Interactions among knowledge, attitude and practice about malariaprevention and control in Chinese rural residents: a multiple structuralequation model analysis[J]. Chin J Public Health(中国公共卫生), 2020, 36(5):826-830.
[17]
YU X X, LIANG R, LIU J T, et al. Survey on knowledge and behavior of safe medication use among residents in Suzhou City[J].China Med Her(中国医药导报), 2014,(21):103-105,109.
[18]
ZHOU R R, TANG X P, TIAN B C, et al. The application of multi-group structural equation model in comparative study of KAP model related to tuberculosis prevention and care among students[J]. Chin J Health Stat(中国卫生统计), 2014,31(1):41-44,48.