Costello Ruth E, Anand Amrutha, Jameson Evans Matt, Dixon William G
Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.
HealthUnlocked (Everything Unlocked Ltd), London, United Kingdom.
J Med Internet Res. 2019 Aug 29;21(8):e13477. doi: 10.2196/13477.
Participation in online health communities (OHCs) is a popular trend in the United Kingdom. However, so far, no evidence exists to indicate an association between participation in OHCs and improved health outcomes.
This study aimed to (1) determine changes in patient activation over 3 months in new users of an OHC, (2) describe patterns of engagement with an OHC, (3) examine whether patients' characteristics at baseline were associated with subsequent patterns of engagement, and (4) determine if patterns of engagement during the 3 months were associated with changes in patient activation, health care utilization, and health status.
Active new OHC users on HealthUnlocked (HU) were surveyed to measure demographics, levels of patient activation (describing a person's confidence in managing their own health; scale 0-100 with 4 categories), health care utilization, and health status using a Web-based survey at baseline and 3 months. Patient activation at baseline and 3 months was compared (aim 1). Alongside, for a sample of HU users and survey responders, daily OHC website usage data were automatically captured. This was used to identify clusters of engagement with HU (aim 2). For survey responders, baseline characteristics, patient activation, health care utilization, and health status were compared at baseline and 3 months, overall, and between engagement clusters using t tests and chi-square tests (aims 3 and 4).
In 329 people who completed both surveys, baseline activation was most frequently level 3, described as taking action but still lacking confidence. At follow-up, a change of 2.6 points was seen, with the greatest change seen in those at lowest baseline activation levels. In addition, 4 clusters of engagement were identified: low, medium, high, and very high, who were active on HU for a mean of 4, 12, 29, and 59 days, respectively. Survey responders were more commonly high or very high engagers. Baseline activation was highest in low and very high engagers. Overall activation increased over time in all engagement groups. Very high engagers had the greatest improvement in activation (5 points), although the average change was not above what is considered clinically meaningful for any group. Fewer accident and emergency visits were seen at follow-up in those with higher engagement, although this trend was not seen for other health care utilization measures. There was no change in health status at 3 months.
This observational study provides some insight into how patterns of engagement with OHCs are associated with changes in patient activation, health care utilization, and health status. Over 3 months, overall, the change in activation was not clinically significant, and there were some indications that OHCs may be of benefit to particular groups. However, the study limitations prevent firm conclusions about causal relationships.
参与在线健康社区(OHCs)在英国是一种流行趋势。然而,迄今为止,尚无证据表明参与在线健康社区与改善健康结果之间存在关联。
本研究旨在(1)确定在线健康社区新用户在3个月内患者激活度的变化,(2)描述参与在线健康社区的模式,(3)检查基线时患者的特征是否与后续参与模式相关,以及(4)确定3个月内的参与模式是否与患者激活度、医疗保健利用和健康状况的变化相关。
对HealthUnlocked(HU)上活跃的在线健康社区新用户进行调查,以使用基于网络的调查问卷在基线和3个月时测量人口统计学、患者激活度水平(描述一个人管理自身健康的信心;范围为0 - 100,分为4类)、医疗保健利用情况和健康状况。比较基线和3个月时的患者激活度(目标1)。同时,对于HU用户和调查应答者的样本,自动收集每日在线健康社区网站使用数据。这用于确定与HU的参与集群(目标2)。对于调查应答者,使用t检验和卡方检验在基线和3个月时总体上以及在参与集群之间比较基线特征、患者激活度、医疗保健利用情况和健康状况(目标3和4)。
在329名完成两项调查的人中,基线激活度最常见的是3级,描述为采取行动但仍缺乏信心。在随访时,观察到有2.6分的变化,在基线激活度最低的人群中变化最大。此外,确定了4个参与集群:低、中、高和非常高,他们在HU上活跃的平均天数分别为4天、12天、29天和59天。调查应答者更常见的是高参与度或非常高参与度的人群。低参与度和非常高参与度的人群基线激活度最高。所有参与组的总体激活度随时间增加。非常高参与度的人群激活度改善最大(5分),尽管任何组的平均变化都未超过临床上认为有意义的范围。参与度较高的人群在随访时急诊就诊次数较少,尽管在其他医疗保健利用指标方面未观察到这种趋势。3个月时健康状况没有变化。
这项观察性研究为在线健康社区的参与模式如何与患者激活度、医疗保健利用和健康状况的变化相关提供了一些见解。总体而言,在3个月内,激活度的变化在临床上并不显著,并且有一些迹象表明在线健康社区可能对特定群体有益。然而,研究的局限性妨碍了对因果关系得出确凿结论。