基于 WhatsApp 的拆信提醒对高血压患者复诊的有效性:印度的一项随机对照试验。

IF 3.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Caterina Favaretti, Vasanthi Subramonia Pillai, Seema Murthy, Adithi Chandrasekar, Shirley D Yan, Huma Sulaiman, Atul Gautam, Baljit Kaur, Mohammed K Ali, Margaret McConnell, Nikkil Sudharsanan
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引用次数: 0

摘要

背景:印度的高血压患者经常错过必要的随访。错过复诊会导致高血压治疗过程中出现漏洞,并引发可预防的心血管疾病。人们对高血压护理和治疗普遍存在误解,这可能是导致复诊率低的原因之一,但迄今为止,关于揭穿这些误解的干预措施对就医行为的影响的证据还很有限。我们进行了一项随机对照试验,以衡量将揭穿普遍存在的误解的信息与标准提醒相结合是否会减少高血压患者错过复诊的情况,并研究观察到的效果是否会因信念的改变而有所缓和:我们从印度旁遮普省两家公立分区医院的门诊病房招募了 388 名血压未得到控制的患者。随机分配到干预组的参与者分别在医生要求的复诊前 3 天和 1 天收到了两条 WhatsApp 消息。WhatsApp 消息以标准提醒开始,提醒参与者即将进行的随访及其目的。在标准提醒之后,我们还附上了简短的揭秘声明,旨在承认并纠正有关高血压就医和治疗的常见误解和错误观念。对照组的参与者接受常规护理,没有收到任何信息:我们没有发现证据表明强化 WhatsApp 提醒提高了随访出席率(主要效应:2.2 个百分点,P 值 = 0.603),治疗组(21.8%,95% CI:15.7%, 27.9%)和对照组(19.6%,95% CI:14.2%, 25.0%)的随访出席率仍然很低。参与者对高血压护理普遍存在误解,但我们的揭穿信息并未成功纠正这些观念(P 值 = 0.187):这项研究再次证实了印度在慢性病持续护理方面所面临的挑战,并表明简单的电话健康传播方法可能不足以改变普遍存在的误解并改善求医行为:试验于 7 月 18 日开始。我们于 7 月 18 日(招募开始前)在德国临床试验注册中心 [Identifier: DRKS00029712] 注册了该试验,包括主要结果,并在开放科学框架 [osf.io/67g35] 中发布了分析前计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effectiveness of WhatsApp based debunking reminders on follow-up visit attendance for individuals with hypertension: a randomized controlled trial in India.

Background: Individuals with high blood pressure in India often miss essential follow-up visits. Missed visits contribute to gaps across the hypertension care continuum and preventable cardiovascular disease. Widespread misconceptions around hypertension care and treatment may contribute to low follow-up attendance rates, but to date, there is limited evidence of the effect of interventions to debunk such misconceptions on health-seeking behavior. We conducted a randomized controlled trial to measure whether combining information debunking commonly-held misconceptions with a standard reminder reduces missed follow-up visits among individuals with high blood pressure and investigated whether any observed effect was moderated through belief change.

Methods: We recruited 388 patients with uncontrolled blood pressure from the outpatient wards of two public sub-district hospitals in Punjab, India. Participants randomly assigned to the intervention arm received two WhatsApp messages, sent 3 and 1 days before their physician-requested follow-up visit. The WhatsApp message began with a standard reminder, reminding participants of their upcoming follow-up visit and its purpose. Following the standard reminder, we included brief debunking statements aimed at acknowledging and correcting common misconceptions and misbeliefs about hypertension care seeking and treatment. Participants in the control group received usual care and did not receive any messages.

Results: We did not find evidence that the enhanced WhatsApp reminders improved follow-up visit attendance (Main effect: 2.2 percentage points, p-value = 0.603), which remained low across both treatment (21.8%, 95% CI: 15.7%, 27.9%) and control groups (19.6%, 95% CI: 14.2%, 25.0%). Participants had widespread misconceptions about hypertension care but our debunking messages did not successfully correct these beliefs (p-value = 0.187).

Conclusions: This study re-affirms the challenge of continuity of care for chronic diseases in India and suggests that simple phone-based health communication methods may not suffice for changing prevalent misconceptions and improving health-seeking behavior.

Trial registration: The trial began on July 18th. We registered the trial on July 18th (before recruitment began), including the main outcomes, on the German Clinical Trial Register [Identifier: DRKS00029712] and published a pre-analysis plan in the Open Science Framework [osf.io/67g35].

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来源期刊
BMC Public Health
BMC Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
4.40%
发文量
2108
审稿时长
1 months
期刊介绍: BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.
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