Measures and Impact of Caseload Surge During the COVID-19 Pandemic: A Systematic Review.

OBJECTIVES: COVID-19 pandemic surges strained hospitals globally. We performed a systematic review to examine measures of pandemic caseload surge and its impact on mortality of hospitalized patients. DATA SOURCES: PubMed, Embase, and Web of Science. STUDY SELECTION: English-language studies published between December 1, 2019, and November 22, 2023, which reported the association between pandemic "surge"-related measures and mortality in hospitalized patients. DATA EXTRACTION: Three authors independently screened studies, extracted data, and assessed individual study risk of bias. We assessed measures of surge qualitatively across included studies. Given multidomain heterogeneity, we semiquantitatively aggregated surge-mortality associations. DATA SYNTHESIS: Of 17,831 citations, we included 39 studies, 17 of which specifically described surge effects in ICU settings. The majority of studies were from high-income countries ( n = 35 studies) and included patients with COVID-19 ( n = 31). There were 37 different surge metrics which were mapped into four broad themes, incorporating caseloads either directly as unadjusted counts ( n = 11), nested in occupancy ( n = 14), including additional factors (e.g., resource needs, speed of occupancy; n = 10), or using indirect proxies (e.g., altered staffing ratios, alternative care settings; n = 4). Notwithstanding metric heterogeneity, 32 of 39 studies (82%) reported detrimental adjusted odds/hazard ratio for caseload surge-mortality outcomes, reporting point estimates of up to four-fold increased risk of mortality. This signal persisted among study subgroups categorized by publication year, patient types, clinical settings, and country income status. CONCLUSIONS: Pandemic caseload surge was associated with lower survival across most studies regardless of jurisdiction, timing, and population. Markedly variable surge strain measures precluded meta-analysis and findings have uncertain generalizability to lower-middle-income countries (LMICs). These findings underscore the need for establishing a consensus surge metric that is sensitive to capturing harms in everyday fluctuations and future pandemics and is scalable to LMICs.

Latent class analysis of perceived stigma among older adults receiving medications for opioid use disorder.

RATIONALE: Public stigma surrounds individuals who use medication for their recovery from a substance use disorder. However, we know little about subgroups of individuals with varying levels of perceived stigma and how these levels may be associated with physical and mental health-related quality of life (HRQOL) and social support. METHODS: We used latent class analysis to define subgroups of people aged 50-72 years of age (N = 104) who were enrolled in eight medication for opioid use disorder (MOUD) programs to explore subgroupings and correlates of group membership. RESULTS: We found evidence for three distinct classes of individuals and named the classes 1) the high stigma class, 2) the embarrassed class, and 3) the low stigma class. We found that people in the high-stigma class reported more rejection, more abstinence-based support group involvement, and reduced mental HRQOL. CONCLUSIONS: Results suggest reducing stigma among people on MOUD may help to boost mental HRQOL and improve social support receipt. The results are consistent with iatrogenic effects of AA/NA support groups such that these treatment modalities may increase stigma due to their focus on abstinence-only treatment for substance use disorders.