PDF(Pubmed)
Abstract：
UNASSIGNED: Unmet need for health care is defined as choosing to postpone or completely avoid necessary medical treatment despite having a need for it, which can worsen current conditions or contribute to new health problems. The emerging infodemic can be a barrier that prevents people from accessing quality health information, contributing to lower levels of seeking medical care when needed.
UNASSIGNED: We evaluated the association between perceptions of health mis- and disinformation on social media and unmet need for health care. In addition, we evaluated mechanisms for this relationship, including frequency of social media use, medical trust, and medical care discrimination.
UNASSIGNED: Data from 3964 active adult social media users responding to the 2022 Health Information National Trends Survey 6 (HINTS 6), a nationally representative survey, were analyzed. The outcome was unmet need for medical care, defined as delaying or not getting the necessary medical care. The predictor variables were perception of social media health mis- and disinformation, frequency of social media use, level of trust in the health care system, and perceived racial and ethnic discrimination when receiving health care.
UNASSIGNED: Multivariable logistic regression models indicated that perception of substantial social media health mis- and disinformation (odds ratio [OR] 1.40, 95% CI 1.07-1.82), daily use of social media (OR 1.34, 95% CI 1.01-1.79), low medical trust (OR 1.46, 95% CI 1.06-2.01), and perceived discrimination (OR 2.24, 95% CI 1.44-3.50) were significantly associated with a higher likelihood of unmet need for medical care. Unmet need among adults who did not use social media daily and who did not perceive substantial mis- and disinformation (24%; 95% CI 19%-30%) was lower compared to daily social media users who perceived substantial mis- and disinformation (38%; 95% CI 32%-43%). Adults who perceived substantial mis- and disinformation and had low trust in health care had the highest probability of reporting unmet need (43%; 95% CI 38%-49%) compared to the other three groups. Adults who perceived substantial mis- and disinformation and experienced medical care discrimination had a statistically significant higher probability of reporting unmet need (51%; 95% CI 40%-62%) compared to adults who did not experience medical care discrimination and did not perceive substantial mis- and disinformation (29%; 95% CI 26%-32%).
UNASSIGNED: Unmet need for medical care was higher among individuals who perceived a substantial degree of social media mis- and disinformation, especially among those who used social media daily, did not trust the health care system, and experienced racial or ethnic discrimination when receiving health care. To counter the negative effects of social media mis- and disinformation on unmet need for health care, public health messaging must focus on daily social media users as well as improving trust and reducing structural racism in the health care system.
UNASSIGNED: We evaluated the association between perceptions of health mis- and disinformation on social media and unmet need for health care. In addition, we evaluated mechanisms for this relationship, including frequency of social media use, medical trust, and medical care discrimination.
UNASSIGNED: Data from 3964 active adult social media users responding to the 2022 Health Information National Trends Survey 6 (HINTS 6), a nationally representative survey, were analyzed. The outcome was unmet need for medical care, defined as delaying or not getting the necessary medical care. The predictor variables were perception of social media health mis- and disinformation, frequency of social media use, level of trust in the health care system, and perceived racial and ethnic discrimination when receiving health care.
UNASSIGNED: Multivariable logistic regression models indicated that perception of substantial social media health mis- and disinformation (odds ratio [OR] 1.40, 95% CI 1.07-1.82), daily use of social media (OR 1.34, 95% CI 1.01-1.79), low medical trust (OR 1.46, 95% CI 1.06-2.01), and perceived discrimination (OR 2.24, 95% CI 1.44-3.50) were significantly associated with a higher likelihood of unmet need for medical care. Unmet need among adults who did not use social media daily and who did not perceive substantial mis- and disinformation (24%; 95% CI 19%-30%) was lower compared to daily social media users who perceived substantial mis- and disinformation (38%; 95% CI 32%-43%). Adults who perceived substantial mis- and disinformation and had low trust in health care had the highest probability of reporting unmet need (43%; 95% CI 38%-49%) compared to the other three groups. Adults who perceived substantial mis- and disinformation and experienced medical care discrimination had a statistically significant higher probability of reporting unmet need (51%; 95% CI 40%-62%) compared to adults who did not experience medical care discrimination and did not perceive substantial mis- and disinformation (29%; 95% CI 26%-32%).
UNASSIGNED: Unmet need for medical care was higher among individuals who perceived a substantial degree of social media mis- and disinformation, especially among those who used social media daily, did not trust the health care system, and experienced racial or ethnic discrimination when receiving health care. To counter the negative effects of social media mis- and disinformation on unmet need for health care, public health messaging must focus on daily social media users as well as improving trust and reducing structural racism in the health care system.
摘要：
■未满足的医疗保健需求被定义为选择推迟或完全避免必要的医疗，尽管有需要，这可能会使当前状况恶化或导致新的健康问题。新兴的信息流行病可能是阻碍人们获取高质量健康信息的障碍，有助于在需要时寻求较低水平的医疗护理。
我们评估了社交媒体上对健康错误和虚假信息的看法与未满足的医疗保健需求之间的关联。此外,我们评估了这种关系的机制，包括社交媒体使用的频率，医疗信托,医疗歧视。
■来自3964名活跃的成人社交媒体用户的数据，这些用户对2022年健康信息国家趋势调查6（HINTS6）做出了回应，具有全国代表性的调查，进行了分析。结果是医疗需求未得到满足，定义为延迟或未获得必要的医疗护理。预测变量是对社交媒体健康错误和虚假信息的感知，社交媒体使用的频率，对医疗保健系统的信任程度，以及在接受医疗保健时感知到的种族和族裔歧视。
■多变量逻辑回归模型表明，对大量社交媒体健康错误和虚假信息的感知(比值比[OR]1.40，95%CI1.07-1.82)，日常使用社交媒体（OR1.34，95%CI1.01-1.79），低医疗信任（OR1.46，95%CI1.06-2.01），感知歧视(OR2.24,95%CI1.44-3.50)与未满足医疗护理需求的可能性较高显著相关.与日常社交媒体用户相比，每天不使用社交媒体且未感知到大量错误和虚假信息的成年人（24％;95％CI19％-30％）的需求较低（38％;95％CI32％-43％）。与其他三组相比，感知到大量错误和虚假信息且对医疗保健信任度低的成年人报告未满足需求的可能性最高（43％；95％CI38％-49％）。与没有经历过医疗服务歧视且没有经历过重大错误和虚假信息的成年人（29％；95％CI26％-32％）相比，感知到重大错误和虚假信息并经历过医疗服务歧视的成年人报告未满足需求的概率在统计学上显着较高（51％；95％CI40％-62％）。
■未满足的医疗需求在那些认为社交媒体错误和虚假信息有很大程度的个人中更高，尤其是那些每天使用社交媒体的人，不信任医疗保健系统，在接受医疗保健时经历过种族或族裔歧视。为了应对社交媒体错误和虚假信息对未满足的医疗保健需求的负面影响，公共卫生信息必须关注日常社交媒体用户，以及提高信任和减少卫生保健系统中的结构性种族主义。
我们评估了社交媒体上对健康错误和虚假信息的看法与未满足的医疗保健需求之间的关联。此外,我们评估了这种关系的机制，包括社交媒体使用的频率，医疗信托,医疗歧视。
■来自3964名活跃的成人社交媒体用户的数据，这些用户对2022年健康信息国家趋势调查6（HINTS6）做出了回应，具有全国代表性的调查，进行了分析。结果是医疗需求未得到满足，定义为延迟或未获得必要的医疗护理。预测变量是对社交媒体健康错误和虚假信息的感知，社交媒体使用的频率，对医疗保健系统的信任程度，以及在接受医疗保健时感知到的种族和族裔歧视。
■多变量逻辑回归模型表明，对大量社交媒体健康错误和虚假信息的感知(比值比[OR]1.40，95%CI1.07-1.82)，日常使用社交媒体（OR1.34，95%CI1.01-1.79），低医疗信任（OR1.46，95%CI1.06-2.01），感知歧视(OR2.24,95%CI1.44-3.50)与未满足医疗护理需求的可能性较高显著相关.与日常社交媒体用户相比，每天不使用社交媒体且未感知到大量错误和虚假信息的成年人（24％;95％CI19％-30％）的需求较低（38％;95％CI32％-43％）。与其他三组相比，感知到大量错误和虚假信息且对医疗保健信任度低的成年人报告未满足需求的可能性最高（43％；95％CI38％-49％）。与没有经历过医疗服务歧视且没有经历过重大错误和虚假信息的成年人（29％；95％CI26％-32％）相比，感知到重大错误和虚假信息并经历过医疗服务歧视的成年人报告未满足需求的概率在统计学上显着较高（51％；95％CI40％-62％）。
■未满足的医疗需求在那些认为社交媒体错误和虚假信息有很大程度的个人中更高，尤其是那些每天使用社交媒体的人，不信任医疗保健系统，在接受医疗保健时经历过种族或族裔歧视。为了应对社交媒体错误和虚假信息对未满足的医疗保健需求的负面影响，公共卫生信息必须关注日常社交媒体用户，以及提高信任和减少卫生保健系统中的结构性种族主义。
