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新冠病毒感染疫情前后城镇中青年网络购药行为变化分析

Changes in online medicine purchases before and after the COVID-19 pandemic among urban young and middle-aged adults

    摘要
  • 摘要:
      目的  了解城镇中青年在新冠病毒感染疫情前后网络购药行为的变化及其影响因素。
      方法  于2021年10月21 — 28日，在问卷星线上调查平台数据库中随机抽取 ≥ 18岁成年人发放电子问卷，从中选取调查前1年（2020年11月 — 2021年10月）买过药的748名18～59岁城镇中青年为研究对象，采用无序多分类logistic回归分析网络购药行为模式变化的影响因素。
      结果  城镇中青年中有178人（23.80%）在疫情前后均未网络购药，477人（63.77%）在疫情前后均有网络购药，71人（9.49%）在疫情前未购药但疫情后有过网络购药。回归结果显示，与疫情前后均未网络购药亚组相比，本科及以上学历（RRR = 3.64，95%CI = 1.37～9.68）城镇中青年更有可能在疫情后开始网络购药，疫情后在医疗机构购药（RRR = 0.41，95%CI = 0.22～0.75）的城镇中青年在疫情后开始网络购药概率更低；同时，本科及以上学历（RRR = 2.06，95%CI = 1.25～3.39）和患有慢性病（RRR = 2.54，95%CI = 1.65～3.92）城镇中青年更有可能在疫情前后均有网络购药，居住在中部地区（RRR = 0.53，95%CI = 0.33～0.84）、西部地区（RRR = 0.58，95%CI = 0.36～0.93）城镇中青年在疫情前后均有网络购药概率更低。
      结论  在当下疫情防控常态化的背景下，城镇中青年网络购药行为呈现上升趋势，其中高学历、患有慢性病与疫情后未在医疗机构买药的群体是疫情后网络购药的重点人群。

     

    Abstract:
      Objective  To examine the changes in online medicine purchases before and after the coronavirus disease 2019 (COVID-19) pandemic and its correlates among urban young and middle-aged adults.
      Methods  Based on Wenjuanxing online survey platform, adults aged ≥ 18 years were randomly recruited for a electronic questionnaire survey during October 21 – 28, 2021. The collected information on 748 urban adults aged 18 – 59 years and ever purchasing medicine during the past year were finally included in the analysis. Multinomial logistic regression was adopted to examine the correlates of the changes in online medicine purchases.
      Results  Of all the respondents, 178 (23.80%) reported no online medicine purchases before and after the COVID-19 pandemic; 477 (63.77%) reported ever purchasing medicine online before and after the pandemic; and 71 (9.49%) had purchased medicine online only after the pandemic. The results of regression analysis showed that, compared with those not ever purchasing medicine online before and after the COVID-19 pandemic, the respondents with the education of bachelor degree or above were more likely to purchase medicine online after the COVID-19 pandemic (relative risk ratio RRR = 3.64, 95% confidence interval 95%CI: 1.37 – 9.68); the respondents purchasing medicine at medical facilities after the epidemic were less likely to purchase medicine online after the epidemic (RRR = 0.41, 95%CI = 0.22 – 0.75); the respondents with the education of bachelor degree or above and having chronic diseases were more likely to purchase medicine online both before and after the COVID-19 pandemic, with RRR (95%CI) of 2.06 (1.25 – 3.39) and 2.54 (1.65 – 3.92); the respondents living in central and western regions were less likely to purchase medicine online before and after the COVID-19 pandemic (RRR = 0.53, 95%CI: 0.33 – 0.84 and RRR = 0.58, 95%CI: 0.36 – 0.93).
      Conclusion  Under the context of normalized COVID-19 pandemic control, online medicine purchases increased among urban young and middle-aged adults, especially among those with higher education, suffering from chronic disease, and not purchasing medicine at medical facilities.

     

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