McGarry Brian E, Gandhi Ashvin D, Grabowski David C, Barnett Michael Lawrence
Brian E. McGarry (
Ashvin D. Gandhi is an assistant professor at the University of California Los Angeles Anderson School of Management, in Los Angeles, California.
Health Aff (Millwood). 2021 Aug;40(8):1261-1269. doi: 10.1377/hlthaff.2021.00323. Epub 2021 Jul 14.
Staff in skilled nursing facilities (SNFs) are essential health care workers, yet they can also be a source of COVID-19 transmission. We used detailed staffing data to examine the relationship between a novel measure of staff size (that is, the number of unique employees working daily), conventional measures of staffing quality, and COVID-19 outcomes among SNFs in the United States without confirmed COVID-19 cases by June 2020. By the end of September 2020, sample SNFs in the lowest quartile of staff size had 6.2 resident cases and 0.9 deaths per 100 beds, compared with 11.9 resident cases and 2.1 deaths per 100 beds among facilities in the highest quartile. Staff size, including staff members not involved in resident care, was strongly associated with SNFs' COVID-19 outcomes, even after facility size was accounted for. Conventional staffing quality measures, including direct care staff-to-resident ratios and skill mix, were not significant predictors of COVID-19 cases or deaths. Reducing the number of unique staff members without decreasing direct care hours, such as by relying on full-time rather than part-time staff, could help prevent outbreaks.
熟练护理机构(SNFs)的工作人员是至关重要的医护人员,但他们也可能成为新冠病毒传播的源头。我们利用详细的人员配置数据,研究了一种新的员工规模衡量指标(即每日工作的不同员工数量)、传统的人员配置质量衡量指标与2020年6月时尚未确诊新冠病例的美国熟练护理机构中新冠疫情结果之间的关系。到2020年9月底,员工规模处于最低四分位数的抽样熟练护理机构每100张床位有6.2例居民病例和0.9例死亡,而处于最高四分位数的机构每100张床位有11.9例居民病例和2.1例死亡。即使在考虑了机构规模之后,包括未参与居民护理的工作人员在内的员工规模与熟练护理机构的新冠疫情结果也密切相关。传统的人员配置质量衡量指标,包括直接护理人员与居民的比例以及技能组合,并不是新冠病例或死亡的显著预测因素。在不减少直接护理时长的情况下减少不同员工的数量,比如依靠全职而非兼职员工,可能有助于预防疫情爆发。