Cheung Gary, Rivera-Rodriguez Claudia, Martinez-Ruiz Adrian, Ma'u Etuini, Ryan Brigid, Burholt Vanessa, Bissielo Ange, Meehan Brigette
Department of Psychological Medicine, The University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland, 1142, New Zealand.
Brain Research New Zealand - Rangahau Roro Aotearoa, The University of Auckland, Auckland, New Zealand.
BMC Public Health. 2020 Nov 30;20(1):1814. doi: 10.1186/s12889-020-09900-1.
Many countries around the world have adopted social distancing as one of the public health measures to reduce COVID-19 transmissions in the community. Such measures could have negative effects on the mental health of the population. The aims of this study are to (1) track the impact of COVID-19 on self-reported mood, self-rated health, other health and psychosocial indicators, and health services utilization of people who have an interRAI assessment during the first year of COVID-19; (2) compare these indicators with the same indicators in people who had an interRAI assessment in the year before COVID-19; and (3) report these indicators publicly as soon as data analysis is completed every 3 months.
interRAI COVID-19 Study (iCoS) is an observational study on routinely collected national data using the interRAI Home Care and Contact Assessment, which are standardized geriatric assessment tools mandated for all people assessed for publicly funded home support services and aged residential care in New Zealand. Based on the 2018/19 figures, we estimated there are 36,000 interRAI assessments per annum. We will compare the four post-lockdown quarters (from 25th March 2020) with the respective pre-lockdown quarters. The primary outcomes are self-reported mood (feeling sad, depressed or hopeless: 0 = no, 1 = yes) and self-rated health (0 = excellent, 1 = good, 2 = fair, 3 = poor). We will also analyze sociodemographics, other secondary health and psychosocial indicators, and health services utilization. Descriptive statistics will be conducted for primary outcomes and other indicators for each of the eight quarters. We will compare the quarters using regression models adjusted for demographic characteristics using weights or additional variables. Key health and psychosocial indicators will be reported publicly as soon as data analysis is completed for each quarter in the 12-month post-lockdown period by using a data visualization tool.
This rapid translation of routinely collected national interRAI data will provide a means to monitor the health and psychosocial well-being of vulnerable older New Zealanders. Insights from this study can be shared with other countries that use interRAI and prepare health and social services for similar epidemics/pandemics in the future.
世界上许多国家都采用了社交距离措施作为公共卫生措施之一，以减少社区中新冠病毒的传播。这些措施可能会对民众的心理健康产生负面影响。本研究的目的是：（1）追踪新冠疫情对在疫情第一年接受相互关系评估量表（interRAI）评估的人群的自我报告情绪、自我评定健康状况、其他健康及心理社会指标，以及医疗服务利用情况的影响；（2）将这些指标与在新冠疫情前一年接受相互关系评估量表评估的人群的相同指标进行比较；（3）每3个月数据分析一完成，就将这些指标公开报告。
相互关系评估量表新冠疫情研究（iCoS）是一项利用相互关系评估量表家庭护理和接触评估对常规收集的国家数据进行的观察性研究，这两种评估是新西兰所有接受公共资助家庭支持服务和老年住宅护理评估的人群所必需使用的标准化老年评估工具。根据2018/19年的数据，我们估计每年有36,000次相互关系评估量表评估。我们将把封锁后四个季度（从2020年3月25日起）与各自的封锁前季度进行比较。主要结果是自我报告情绪（感到悲伤、沮丧或绝望：0 = 否，1 = 是）和自我评定健康状况（0 = 优秀，1 = 良好，2 = 中等，3 = 差）。我们还将分析社会人口统计学、其他次要健康及心理社会指标，以及医疗服务利用情况。将对八个季度中每个季度的主要结果和其他指标进行描述性统计。我们将使用根据人口特征进行加权或增加变量调整的回归模型来比较各个季度。在封锁后12个月期间，每个季度数据分析一完成，就将使用数据可视化工具公开报告关键健康及心理社会指标。
对常规收集的国家相互关系评估量表数据的这种快速转化，将提供一种手段来监测新西兰弱势老年人的健康和心理社会福祉。本研究的见解可与其他使用相互关系评估量表的国家分享，并为未来应对类似的流行病/大流行病做好卫生和社会服务准备。
