Department of Data Science and Engineering Management, School of Management, Zhejiang University, Hangzhou, China.
Department of Information Systems, College of Business, City University of Hong Kong, Hong Kong, China.
J Med Internet Res. 2023 Jul 28;25:e45681. doi: 10.2196/45681.
Overcrowding in public hospitals, a common issue in many countries, leads to a range of negative outcomes, such as insufficient access to medical services and patient dissatisfaction. Prior literature regarding solutions to reducing hospital overcrowding primarily focuses on organizational-level operational efficiency. However, few studies have investigated the strategies from the individual patient perspective. Specifically, we considered using mobile health and fitness apps to promote users' health behaviors and produce health benefits, thereby reducing hospital visits.
This study estimated the causal effect of health and fitness app adoption on hospital visits by exploiting the staggered timing of adoption. We also investigated how the effect varied with users' socioeconomic status and digital literacy. This study provides causal evidence for the effects of health apps, extends the digital health literature, and sheds light on mobile health policies.
This study used a data set containing health and fitness app use and hospital-related geolocation data of 267,651 Chinese mobile phone users from January to December 2019. We used the difference-in-differences and difference-in-difference-in-differences designs to estimate the causal effect. We performed a sensitivity analysis to establish the robustness of the findings. We also conducted heterogeneity analyses based on the interactions of postadoption indicators with users' consumption levels, city tiers, and digital literacy.
The preferred model (difference-in-difference-in-differences) showed a significant decrease in hospital visits after the adoption of health and fitness apps. App adoption led to a 5.8% (P<.001), 13.1% (P<.001), and 18.4% reduction (P<.001) in hospital visits 1, 2, and 3 months after adoption, respectively. In addition, the moderation analysis shows that the effect is greater for users with high consumption levels, in high-tier cities, or with high digital literacy.
This study estimated the causal effect of health and fitness app adoption on hospital visits. The results and sensitivity analysis showed that app adoption can reduce users' hospital visits. The effect varies with users' consumption levels, city tiers, and digital literacy. These findings provide useful insights for multiple stakeholders in the Chinese health care context.
公立医院人满为患是许多国家普遍存在的问题,由此导致一系列负面后果,如医疗服务获取不足和患者不满。先前关于减少医院拥堵的解决方案的文献主要侧重于组织层面的运营效率。然而,很少有研究从个体患者的角度探讨策略。具体而言,我们考虑使用移动健康和健身应用程序来促进用户的健康行为并产生健康效益,从而减少医院就诊次数。
本研究通过利用健康和健身应用程序采用的交错时间,估计采用健康和健身应用程序对医院就诊的因果效应。我们还研究了这种效应如何随用户的社会经济地位和数字素养而变化。本研究为健康应用程序的效果提供了因果证据,扩展了数字健康文献,并为移动健康政策提供了启示。
本研究使用了一个包含 267651 名中国手机用户健康和健身应用程序使用情况以及与医院相关的地理位置数据的数据集,数据时间范围为 2019 年 1 月至 12 月。我们使用差分差异和差分差分差异设计来估计因果效应。我们进行了敏感性分析以确定研究结果的稳健性。我们还根据采用后指标与用户消费水平、城市级别和数字素养的交互作用进行了异质性分析。
首选模型(差分差分差异)显示,采用健康和健身应用程序后,医院就诊次数显著减少。采用应用程序后,采用后 1、2 和 3 个月的医院就诊次数分别减少了 5.8%(P<.001)、13.1%(P<.001)和 18.4%(P<.001)。此外,调节分析表明,对于消费水平较高、城市级别较高或数字素养较高的用户,效果更大。
本研究估计了采用健康和健身应用程序对医院就诊的因果效应。结果和敏感性分析表明,应用程序采用可以减少用户的医院就诊次数。该效果因用户的消费水平、城市级别和数字素养而异。这些发现为中国医疗保健背景下的多方利益相关者提供了有用的见解。