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李福明, 尹文强, 朱丽丽, 赵兹旋, 王安琪, 周龙德, 马广斌, 陈兴民, 杨梦, 林经纬, 陈钟鸣. 山东省居民移动医疗APP使用行为及影响因素分析[J]. 中国公共卫生, 2020, 36(5): 697-701. DOI: 10.11847/zgggws1126009
引用本文: 李福明, 尹文强, 朱丽丽, 赵兹旋, 王安琪, 周龙德, 马广斌, 陈兴民, 杨梦, 林经纬, 陈钟鸣. 山东省居民移动医疗APP使用行为及影响因素分析[J]. 中国公共卫生, 2020, 36(5): 697-701. DOI: 10.11847/zgggws1126009
Fu-ming LI, Wen-qiang YIN, Li-li ZHU, . Utilization of mobile medical application and its associates among residents in Shandong province[J]. Chinese Journal of Public Health, 2020, 36(5): 697-701. DOI: 10.11847/zgggws1126009
Citation: Fu-ming LI, Wen-qiang YIN, Li-li ZHU, . Utilization of mobile medical application and its associates among residents in Shandong province[J]. Chinese Journal of Public Health, 2020, 36(5): 697-701. DOI: 10.11847/zgggws1126009

山东省居民移动医疗APP使用行为及影响因素分析

Utilization of mobile medical application and its associates among residents in Shandong province

  • 摘要:
      目的  了解山东省居民对移动医疗APP的使用行为现状及影响因素,为优化移动医疗APP、改善居民的健康行为生活方式提供依据。
      方法  采取多阶段分层随机抽样方法,于2018年1 — 4月对山东省三市的1 080名居民进行问卷调查,利用χ2检验、logistic回归模型分析居民移动医疗APP使用行为及影响因素。
      结果  居民移动医疗APP使用率为35.2 %。多因素logistic回归分析结果显示,影响居民移动医疗APP使用率的因素包括是否拥有子女(OR = 2.873,95 % CI = 1.785~4.625)、是否患有慢性病(OR = 1.820,95 % CI = 1.099~3.015)、平均每年就诊次数(OR = 0.559,95 % CI = 0.418~0.748)、对移动医疗APP的了解程度(OR = 2.607,95 % CI = 2.111~3.219)、对移动医疗APP的总体评价(OR = 1.660,95 % CI = 1.216~2.266)、对移动医疗APP的信任程度(OR = 1.456,95 % CI = 1.098~1.930)、最近6个月是否搜索过医疗健康信息(OR = 2.874,95 % CI = 1.637~5.045)。
      结论  山东省居民对移动医疗APP的使用率偏低,应通过宣传提高居民对移动医疗APP的认知,加强监管及信息筛查以保证移动医疗APP服务质量,针对慢性病患者及各类弱势人群开发专业化移动医疗APP,以居民需求为向导开发配套服务,提高服务效率,最终为提高居民移动医疗APP的使用率服务。

     

    Abstract:
      Objective  To examine the utilization of mobile medical application (MAPP) and its influencing factors among residents in Shandong province and to provide evidences for promoting the utilization of MAPP in the residents.
      Methods  We conducted a self-administered questionnaire survey among 1 080 residents recruited with stratified multistage random sampling in three cities of Shandong province from January to April 2018. Descriptive analysis, chi-square test, rank sum test and binary logistic regression analysis were used in data analyses.
      Results  Of the 980 residents with valid responses, 35.2% reported the utilization of MAPP. Multivariate logistic regression analysis revealed following significant influencing factors of MAPP utilization among the responders: whether having children (yes vs. no: odds ratio OR = 2.873, 95% confidence interval 95% CI: 1.785 – 4.625), whether suffering from chronic diseases (yes vs. no: OR = 1.820, 95% CI: 1.099 – 3.015), annual frequency of visiting a doctor (high vs. low: OR = 0.559, 95% CI: 0.418 – 0.748), the knowledge about MAPP (good vs. poor: OR = 2.607, 95% CI: 2.111 – 3.219), the overall evaluation on MAPP (high vs. low: OR = 1.660, 95% CI: 1.216 – 2.266), the trust in MAPP (high vs. low: OR = 1.456, 95% CI: 1.098 – 1.930), and whether searching for medical information during previous 6 months (yes vs. no: OR = 2.874, 95% CI: 1.637 – 5.045).
      Conclusion  The utilization rate of mobile medical application is low among residents in Shandong province and specific strategies need to be developed to promote the utilization of the mobile medical service among the residents.

     

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