A Retrospective Analysis of Jordan's National COVID-19 Call Center: Operations, Effectiveness, and Lessons Learned.

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Journal of Multidisciplinary Healthcare Pub Date : 2024-11-08 eCollection Date: 2024-01-01 DOI:10.2147/JMDH.S475335
Ahmad Alrawashdeh, Nicole Simmons, Mohammad Alhawarat, Mohammad Suleiman Maayeh, Khalid A Kheirallah
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引用次数: 0

Abstract

Introduction: Contact tracing has been a cornerstone of non-pharmaceutical interventions to control the COVID-19 epidemic, with highly mixed effectiveness internationally. In Jordan, the Ministry of Health (MOH) collaborated with the Jordan Nurses and Midwives Council and the USAID Local Health System Sustainability Project to set up a call center for contact tracing of COVID-19.

Objective: This study described the operation and assessed the effectiveness of Jordan's COVID-19 call center activities in reaching COVID-19 cases and their contacts.

Methods: A retrospective observational design was conducted using data from all calls made by the COVID-19 call center cases between November 2020 and April 2022. Data were collected from initial and follow-up calls to PCR-confirmed COVID-19 cases and their contacts. Data on socio-demographics, symptoms, and contact tracing activities were recorded. The study focused on key outcomes, including call success rates, the number of cases and contacts reached, and the role of different detection modes in identifying cases.

Results: During the study period, the call center attempted to contact 1,027,911 COVID-19 cases, successfully reaching 802,525 cases (78.1%). Follow-up calls were made to 1,126,334 cases, with a success rate of 74%. The call center appeared particularly valuable during the initial period of the pandemic until it was overwhelmed by the significantly more transmissible Omicron variant of the virus. Two weaknesses were identified: gaps in reaching non-Jordanian citizen cases and difficulty in keeping up with case volume during the Omicron wave of February-March 2022, when reported cases peaked at over 20,000 per day. One-third of all reached cases said that they had been referred for testing through contact tracing.

Conclusion: Contact tracing activities led by the MOH were instrumental in identifying new cases, optimizing resource allocation, improving surveillance and data systems, targeting vulnerable population, and supporting mitigation strategies to combat the COVID-19 pandemic in Jordan.

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约旦国家 COVID-19 呼叫中心回顾分析:运营、效果和经验教训。
导言:接触追踪一直是控制 COVID-19 流行病的非药物干预措施的基石,但在国际上效果参差不齐。在约旦,卫生部(MOH)与约旦护士和助产士理事会以及美国国际开发署(USAID)地方卫生系统可持续发展项目合作,建立了一个呼叫中心,对 COVID-19 进行接触追踪:本研究描述了约旦 COVID-19 呼叫中心的运行情况,并评估了呼叫中心在接触 COVID-19 病例及其接触者方面的有效性:采用回顾性观察设计,使用 COVID-19 呼叫中心病例在 2020 年 11 月至 2022 年 4 月期间拨打的所有电话数据。数据收集自PCR确诊的COVID-19病例及其联系人的首次和后续通话。记录了社会人口统计学、症状和联系人追踪活动的数据。研究重点关注关键结果,包括呼叫成功率、接触到的病例和联系人数量,以及不同检测模式在确定病例方面的作用:在研究期间,呼叫中心尝试联系了 1,027,911 个 COVID-19 病例,成功联系了 802,525 个病例(78.1%)。对 1,126,334 个病例进行了后续呼叫,成功率为 74%。在大流行初期,呼叫中心显得尤为重要,直到它被传播性更强的 Omicron 病毒变种所淹没。发现了两个薄弱环节:一是在联系非约旦公民病例方面存在差距,二是在 2022 年 2 月至 3 月的 Omicron 病毒潮期间难以跟上病例数量,当时报告的病例最高峰时每天超过 20,000 例。在所有接触到的病例中,三分之一表示他们是通过接触追踪转介接受检测的:卫生部领导的接触追踪活动有助于发现新病例、优化资源分配、改善监测和数据系统、锁定易感人群以及支持缓解战略,以抗击 COVID-19 在约旦的流行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Multidisciplinary Healthcare
Journal of Multidisciplinary Healthcare Nursing-General Nursing
CiteScore
4.60
自引率
3.00%
发文量
287
审稿时长
16 weeks
期刊介绍: The Journal of Multidisciplinary Healthcare (JMDH) aims to represent and publish research in healthcare areas delivered by practitioners of different disciplines. This includes studies and reviews conducted by multidisciplinary teams as well as research which evaluates or reports the results or conduct of such teams or healthcare processes in general. The journal covers a very wide range of areas and we welcome submissions from practitioners at all levels and from all over the world. Good healthcare is not bounded by person, place or time and the journal aims to reflect this. The JMDH is published as an open-access journal to allow this wide range of practical, patient relevant research to be immediately available to practitioners who can access and use it immediately upon publication.
期刊最新文献
Assessment of Personalized Exercise Prescriptions Issued by ChatGPT 4.0 and Intelligent Health Promotion Systems for Patients with Hypertension Comorbidities Based on the Transtheoretical Model: A Comparative Analysis. TinyML-Based Lightweight AI Healthcare Mobile Chatbot Deployment. A Retrospective Analysis of Jordan's National COVID-19 Call Center: Operations, Effectiveness, and Lessons Learned. Analysis of Prevalence of Thyroid Nodules and Related Factors in Physical Examination Population in a Hospital in Jinan [Letter]. One Step Ahead in Realizing Pharmacogenetics in Low- and Middle-Income Countries: What Should We Do? [Letter].
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