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Integrating an early child development intervention into an existing primary healthcare platform in rural Lesotho: a prospective case-control study.将儿童早期发展干预措施融入莱索托农村现有初级卫生保健平台:一项前瞻性病例对照研究。
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Impact of COVID-19 pandemic on chronic diseases care follow-up and current perspectives in low resource settings: a narrative review.2019冠状病毒病大流行对资源匮乏地区慢性病护理随访的影响及当前观点:一项叙述性综述
Int J Physiol Pathophysiol Pharmacol. 2021 Jun 15;13(3):86-93. eCollection 2021.
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Effects of the COVID-19 Pandemic on Mental Health in Peru: Psychological Distress.新冠疫情对秘鲁心理健康的影响:心理困扰
Healthcare (Basel). 2021 Jun 8;9(6):691. doi: 10.3390/healthcare9060691.
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Success at Scale: Outcomes of Community-Based Neurodevelopment Intervention (CASITA) for Children Ages 6-20 months With Risk of Delay in Lima, Peru.大规模成功:秘鲁利马社区神经发育干预(CASITA)对 6-20 个月大发育迟缓高风险儿童的干预效果。
Child Dev. 2021 Nov;92(6):e1275-e1289. doi: 10.1111/cdev.13602. Epub 2021 Jun 11.
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Rural-urban disparities in knowledge, behaviors, and mental health during COVID-19 pandemic: A community-based cross-sectional survey.农村-城市在 COVID-19 大流行期间的知识、行为和心理健康方面的差异:一项基于社区的横断面调查。
Medicine (Baltimore). 2021 Apr 2;100(13):e25207. doi: 10.1097/MD.0000000000025207.
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Covid-19: Why Peru suffers from one of the highest excess death rates in the world.新冠疫情:为何秘鲁是全球超额死亡率最高的国家之一。
BMJ. 2021 Mar 9;372:n611. doi: 10.1136/bmj.n611.
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Depressive symptoms among Peruvian adult residents amidst a National Lockdown during the COVID-19 pandemic.秘鲁 COVID-19 大流行期间全国封锁下成年居民的抑郁症状。
BMC Psychiatry. 2021 Feb 18;21(1):111. doi: 10.1186/s12888-021-03107-3.
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Reports of Forgone Medical Care Among US Adults During the Initial Phase of the COVID-19 Pandemic.美国成年人在 COVID-19 大流行初期放弃医疗的报告。
JAMA Netw Open. 2021 Jan 4;4(1):e2034882. doi: 10.1001/jamanetworkopen.2020.34882.
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Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review.用于神经精神疾病检测的智能对话代理:系统评价。
J Biomed Inform. 2021 Jan;113:103632. doi: 10.1016/j.jbi.2020.103632. Epub 2020 Dec 2.
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Epidemiology of mental health problems in COVID-19: a review.2019冠状病毒病心理健康问题的流行病学:综述
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在新冠疫情期间利用数字聊天机器人缩小医疗服务可及性方面的差距。

Using digital chatbots to close gaps in healthcare access during the COVID-19 pandemic.

作者信息

Tzelios C, Contreras C, Istenes B, Astupillo A, Lecca L, Ramos K, Ramos L, Roca K, Galea J T, Tovar M, Mitnick C D, Peinado J

机构信息

Harvard Medical School, Boston, MA, USA.

Socios En Salud-Sucursal Perú, Lima, Perú.

出版信息

Public Health Action. 2022 Dec 21;12(4):180-185. doi: 10.5588/pha.22.0046.

DOI:10.5588/pha.22.0046
PMID:36561900
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9716819/
Abstract

INTRODUCTION

Chatbots have emerged as a first link to care in recent years. The COVID-19 pandemic, and consequent health system disruptions, expanded their use. Socios En Salud (SES) introduced chatbots in Peru, which experienced one of the highest excess COVID mortalities in the world.

METHODS

SES and the government identified unmet population health needs, which could be amenable to virtual interventions. Chatbots were developed to screen individuals for these conditions; we describe the period of deployment, number of screenings, and number of people who received services.

RESULTS

Between April 2020 and May 2021, SES deployed nine ChatBots: four for mental health, two for maternal and child health, and three for chronic diseases: breast cancer, hypertension, diabetes mellitus, and obesity. Mental health services were provided to 42,932 people, 99.99% of those offered services. The other ChatBots reached fewer people. Overall, more than 50% of eligible people accepted chatbot-based services.

DISCUSSION

ChatBot use was highest for mental health. Chatbots may increase connections between a vulnerable population and health services; this is likely dependent on several factors, including condition, population, and penetration of smart phones. Future research will be critical to understand user experience and preferences and to ensure that chatbots link vulnerable populations to appropriate, high-quality care.

摘要

引言

近年来,聊天机器人已成为医疗护理的首个连接点。新冠疫情及其导致的卫生系统中断扩大了它们的使用范围。健康伙伴组织(Socios En Salud,SES)在秘鲁引入了聊天机器人,该国是全球新冠超额死亡率最高的国家之一。

方法

SES与政府确定了未得到满足的人群健康需求,这些需求适合通过虚拟干预来解决。开发了聊天机器人以筛查有这些状况的个体;我们描述了部署时间段、筛查次数以及接受服务的人数。

结果

在2020年4月至2021年5月期间,SES部署了9个聊天机器人:4个用于心理健康,2个用于母婴健康,3个用于慢性病(乳腺癌、高血压、糖尿病和肥胖症)。为42932人提供了心理健康服务,占提供服务对象的99.99%。其他聊天机器人覆盖的人数较少。总体而言,超过50%的符合条件人群接受了基于聊天机器人的服务。

讨论

心理健康方面对聊天机器人的使用最多。聊天机器人可能会增加弱势群体与卫生服务之间的联系;这可能取决于几个因素,包括疾病状况、人群以及智能手机的普及率。未来的研究对于了解用户体验和偏好以及确保聊天机器人将弱势群体与适当的高质量护理联系起来至关重要。