An integer programming model to assign patients based on mental health impact for tele-psychotherapy intervention during the Covid-19 emergency.
An integer programming model to assign patients based on mental health impact for tele-psychotherapy intervention during the Covid-19 emergency.
复制标题
基于心理健康影响的整数规划模型分配患者，用于COVID-19紧急情况期间的远程心理治疗干预。
DOI：
10.1007/s10729-020-09543-z
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发表时间：
2021-06
影响因子：
3.6
通讯作者：
Sotomayor K
中科院分区：
文献类型：
--
作者：
Miniguano-Trujillo A;Salazar F;Torres R;Arias P;Sotomayor K
新型冠状病毒肺炎（COVID-19）大流行对全球医疗体系构成挑战，同时严重影响心理健康。因此，危机时期对心理援助的需求不断增加，需要及早采取有效的干预措施。这有助于公众和一线工作人员的福祉，并预防心理健康障碍。许多国家都在提供各种各样的远程心理干预服务，厄瓜多尔也不例外。本研究结合了统计分析和离散优化技术，以解决通过一次远程心理治疗将患者分配给治疗师进行危机干预的问题。统计分析显示，与新冠肺炎患者接触或确诊的专业人员和医护人员与自杀风险、悲伤、经验回避和严重程度感知有显著关系。此外，通过路径分析发现，一些与新冠肺炎相关的变量是悲伤和自杀风险的预测因子。这允许根据筛选对患者进行分类，并根据其资格对治疗师进行分组。通过这种分层，提出了一个多周期优化模型和一个启发式算法，以随着时间的推移找到一个适当的分配给治疗师的病人。整数规划模型与现实世界的数据进行了验证，其结果被应用在厄瓜多尔的志愿者计划。
The Covid–19 pandemic challenges healthcare systems worldwide while severely impacting mental health. As a result, the rising demand for psychological assistance during crisis times requires early and effective intervention. This contributes to the well-being of the public and front-line workers and prevents mental health disorders. Many countries are offering diverse and accessible services of tele-psychological intervention; Ecuador is not the exception. The present study combines statistical analyses and discrete optimization techniques to solve the problem of assigning patients to therapists for crisis intervention with a single tele-psychotherapy session. The statistical analyses showed that professionals and healthcare workers in contact with Covid–19 patients or with a confirmed diagnosis had a significant relationship with suicide risk, sadness, experiential avoidance, and perception of severity. Moreover, some Covid–19-related variables were found to be predictors of sadness and suicide risk as unveiled via path analysis. This allowed categorizing patients according to their screening and grouping therapists according to their qualifications. With this stratification, a multi-periodic optimization model and a heuristic are proposed to find an adequate assignment of patients to therapists over time. The integer programming model was validated with real-world data, and its results were applied in a volunteer program in Ecuador.
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影响因子：
120.7
作者：
Aiken, LH;Clarke, SP;Silber, JH
通讯作者：
Silber, JH
影响因子：
2.1
作者：
Griffiths, J. D.;Williams, J. E.;Wood, R. M.
通讯作者：
Wood, R. M.
DOI：
10.1192/j.eurpsy.2020.89
发表时间：
2020-09-28
期刊：
European psychiatry : the journal of the Association of European Psychiatrists
影响因子：
--
作者：
Fiorillo A;Sampogna G;Giallonardo V;Del Vecchio V;Luciano M;Albert U;Carmassi C;Carrà G;Cirulli F;Dell'Osso B;Nanni MG;Pompili M;Sani G;Tortorella A;Volpe U
通讯作者：
Volpe U
DOI：
10.1016/j.encep.2020.04.008
发表时间：
2020-06-01
影响因子：
2.7
作者：
El-Hage, W.;Hingray, C.;Aouizerate, B.
通讯作者：
Aouizerate, B.
影响因子：
3.8
作者：
Anderson, Eric C;Carleton, R Nicholas;Han, Paul K J
通讯作者：
Han, Paul K J