Department of Health Promotion and e-Health, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Skawinska Str. 8, 31-066, Krakow, Poland.
BMC Public Health. 2024 Mar 27;24(1):902. doi: 10.1186/s12889-024-18399-9.
It has been suggested that cyberchondria leads to increased utilization of healthcare services. Unfortunately, not many studies have analyzed this effect comprehensively. The aim of this study was to analyze the relationship between cyberchondria severity and the utilization of healthcare services among adult Internet users after adjusting for sociodemographic characteristics and the health status of respondents.
The analysis detailed in this paper examined data from a computer-based, web-based interviewing survey performed among a representative sample of 1613 Polish Internet users. Cyberchondria severity was assessed with the Cyberchondria Severity Scale (CSS). The variables reflecting the use of healthcare services were based on the frequency of visits to family physicians and specialists, diagnostic procedures, hospital admissions, and emergency services, and finally being vaccinated against COVID-19. The effect of cyberchondria severity on the utilization of healthcare services and alternative medicine was adjusted for key sociodemographic variables, the presence of chronic diseases, disability, and unspecific symptoms. For variables reflecting the use of services, ordinal logistic regression and multivariable logistic regression models were developed.
Cyberchondria severity was a significant predictor of the utilization of all but one of the analyzed healthcare services and alternative medicine. The odds of being in a higher category of the utilization of visits to family physicians and specialists, hospital admissions, emergency services and alternative medicine services increased by a factor of 1.01-1.02 for every unit increase of the cyberchondria score. The cyberchondria score was a negative predictor of COVID-19 vaccine uptake. The effect of cyberchondria on outcome variables was independent of the level of health anxiety, sociodemographic variables, and variables reflecting the health status of respondents.
Cyberchondria leads to more intensive use of nearly all healthcare services, but in the case of vaccination against COVID-19, cyberchondria severity was a negative predictor. Cyberchondria's effect extends beyond health anxiety.
有人认为网络疑病症会导致医疗服务利用率增加。然而,目前鲜有研究全面分析这种影响。本研究旨在分析网络疑病症严重程度与调整社会人口特征和受访者健康状况后成年互联网用户医疗服务利用之间的关系。
本研究分析基于对 1613 名波兰互联网用户的基于计算机的网络调查数据。使用网络疑病症严重程度量表(Cyberchondria Severity Scale,CSS)评估网络疑病症严重程度。反映医疗服务利用的变量基于家庭医生和专科医生就诊频率、诊断程序、住院和急诊服务,最后是 COVID-19 疫苗接种。调整关键社会人口变量、慢性病、残疾和非特异性症状后,分析网络疑病症严重程度对医疗服务和替代医学利用的影响。对于反映服务利用的变量,开发了有序逻辑回归和多变量逻辑回归模型。
网络疑病症严重程度是除一种医疗服务和替代医学利用外所有变量的显著预测因素。家庭医生和专科医生就诊、住院、急诊服务和替代医学服务利用程度每增加一个单位,网络疑病症评分增加 1.01-1.02 倍,被分类为更高利用程度的可能性增加。网络疑病症评分是 COVID-19 疫苗接种率的负向预测因素。网络疑病症对结局变量的影响独立于健康焦虑程度、社会人口变量和反映受访者健康状况的变量。
网络疑病症导致几乎所有医疗服务利用更加密集,但在 COVID-19 疫苗接种方面,网络疑病症严重程度是一个负向预测因素。网络疑病症的影响超出了健康焦虑。