Portland's Response to the Western North American Heatwave: A Brief Report.

BACKGROUND: In June of 2021, a heatwave resulted in high mortality across the Pacific Northwest region. The city of Portland, Oregon, had many advantages: emergency response personnel, science-based policies, political support for climate change adaptation, and collaboration among municipal, county, state, and federal authorities. Though the city's response likely prevented many deaths, heat-related mortality was high. METHODS: This study presents a retrospective case analysis of the 2021 Western North American Heatwave in Portland, Oregon. Specifically, the study examines the limitations of current heatwave response paradigms by means of a narrative review of the heatwave response and impacts. RESULTS: Most deaths occurred at home, and most of those who died lived alone. Most of the deceased did not have access to functioning air conditioning. CONCLUSIONS: Heatwaves exhibit high predictability in the demographics of those most affected and have rising rates of recurrence. Given the effectiveness of residential cooling systems in preventing heat-related mortality, findings suggest that future public health and policy initiatives should put increased focus on the primary prevention of heat exposure.

Small area analysis methods in an area of limited mapping: exploratory geospatial analysis of firearm injuries in Port-au-Prince, Haiti.

BACKGROUND: The city of Port-au-Prince, Haiti, is experiencing an epidemic of firearm injuries which has resulted in high burdens of morbidity and mortality. Despite this, little scientific literature exists on the topic. Geospatial research could inform stakeholders and aid in the response to the current firearm injury epidemic. However, traditional small-area geospatial methods are difficult to implement in Port-au-Prince, as the area has limited mapping penetration. Objectives of this study were to evaluate the feasibility of geospatial analysis in Port-au-Prince, to seek to understand specific limitations to geospatial research in this context, and to explore the geospatial epidemiology of firearm injuries in patients presenting to the largest public hospital in Port-au-Prince. RESULTS: To overcome limited mapping penetration, multiple data sources were combined. Boundaries of informally developed neighborhoods were estimated from the crowd-sourced platform OpenStreetMap using Thiessen polygons. Population counts were obtained from previously published satellite-derived estimates and aggregated to the neighborhood level. Cases of firearm injuries presenting to the largest public hospital in Port-au-Prince from November 22nd, 2019, through December 31st, 2020, were geocoded and aggregated to the neighborhood level. Cluster analysis was performed using Global Moran's I testing, local Moran's I testing, and the SaTScan software. Results demonstrated significant geospatial autocorrelation in the risk of firearm injury within the city. Cluster analysis identified areas of the city with the highest burden of firearm injuries. CONCLUSIONS: By utilizing novel methodology in neighborhood estimation and combining multiple data sources, geospatial research was able to be conducted in Port-au-Prince. Geospatial clusters of firearm injuries were identified, and neighborhood level relative-risk estimates were obtained. While access to neighborhoods experiencing the largest burden of firearm injuries remains restricted, these geospatial methods could continue to inform stakeholder response to the growing burden of firearm injuries in Port-au-Prince.

Factors Associated With Triage Decisions in Older Adult Trauma Patients: Impact on Mortality and Morbidity.

INTRODUCTION: As medical advances have significantly increased the life expectancy among older adults, the number of older patients requiring trauma care has risen proportionately. Nevertheless, it is unclear among this growing population which sociodemographic and economic factors are associated with decisions to triage and transfer to level I/II centers. This study aims to assess for any association between patient sociodemographic characteristics, triage decisions, and outcomes during acute trauma care presentations. METHODS: The National Trauma Data Bank was queried for patients aged 65 and older with an injury severity score > 15 between the years 2007 to 2017. Factors associated with subsequent levels of triage on presentation were assessed using multivariate logistic regression, and associations of levels of triage with outcomes of mortality, morbidity, and hospital length of stay are examined using logistic and linear regression models. RESULTS: Triage of 210,310 older adult trauma patients showed significant findings. American Indian patients had higher odds of being transferred to level I/II centers, while Asian, Black, and Native Hawaiian patients had lower odds of being transferred to level I/II centers when compared to Caucasian patients (P < 0.001). Regarding insurance, self-pay (uninsured) patients were less likely to be transferred to a higher level of care; however, this was also demonstrated in private insurance holders (P < 0.001). Caucasian patients had significantly higher odds of mortality, with Black patients (odds ratio [OR] 0.80 [0.75, 0.85]) and American Indian patients (OR 0.87 [0.72, 1.04]) having significantly lower odds (P < 0.001). Compared to government insurance, private insurance holders (OR 0.82 [0.80, 0.85]) also had significantly lower odds of mortality, while higher odds among self-pay were observed (OR 1.75 [1.62, 1.90]), (P < 0.001). CONCLUSIONS: Access to insurance is associated with triage decisions involving older adults sustaining trauma, with lower access increasing mortality risk. Factors such as race and gender were less likely to be associated with triage decisions. However, due to this study's retrospective design, further prospective analysis is necessary to fully assess the decisions that influence trauma triage decisions in this patient population.

Impact of a Novel Social Work Program on Access to Tertiary Care.

Background: In the movement for global health equity, increased research and funding have not yet addressed a shortage of evidence on effectively implementing context-specific interventions; one unmet need is facilitating access to specialty care within the public health sector in Mexico. Compañeros en Salud has been piloting a novel program, called Right to Healthcare (RTHC), to increase access to specialty care for the rural poor in Chiapas, Mexico. The RTHC program incorporates social work, patient navigation, referrals, direct economic support, and accompaniment for patients. Objectives: This study evaluates the effectiveness of the RTHC program. Primary outcomes analyzed included acceptance of any referral and attendance of any appointment. Secondary outcomes included acceptance of the first referral and rate of appointment attendance for patients with an accepted referral. Methods: Using referral process data for the years 2014 to 2019 from a public tertiary care hospital in Chiapas, 91 RTHC patients were matched using 2:1 optimal pair matching with a control cohort balancing covariates of patient age, sex, specialty referred to, level of referring hospital, and municipality. Findings: RTHC patients were more likely to have had an accepted referral (OR 17.42, 95% CI 3.68 to 414.16) and to have attended an appointment (OR 5.49, 95% CI 2.93 to 11.60) compared to the matched control group. RTHC patients were also more likely to have had their first referral accepted (OR 2.78, 95% CI 1.29 to 6.73). Among patients with an accepted referral, RTHC patients were more likely to have attended an appointment (OR 3.86, 95% CI 1.90 to 8.57). Conclusions: The results demonstrate that the RTHC model is successful in increasing access to specialty care by both increasing referral acceptance and appointment attendance.