Background: Although one-half of all public out-of-hospital cardiac arrests (OHCAs) occur outside private homes in residential neighborhoods, their characteristics and outcomes remain unexplored.
Objectives: The authors assessed interventions before ambulance arrival and survival for public OHCA patients in residential neighborhoods.
Methods: Public OHCAs from Vienna (2018-2021) and Copenhagen (2016-2020) were designated residential neighborhoods or nonresidential areas. Interventions (cardiopulmonary resuscitation [CPR], automated external defibrillator [AED] attached, and defibrillation) and 30-day survival were compared using a generalized estimation equation model adjusted for age and time of day and presented as ORs.
Results: We included 1,052 and 654 public OHCAs from Vienna and Copenhagen, respectively, and 68% and 55% occurred in residential neighborhoods, respectively. The likelihood of CPR, defibrillation, and survival in residential neighborhoods vs nonresidential areas (reference) were as follows: CPR Vienna, 73% vs 78%, OR: 0.78 (95% CI: 0.57-1.06), CPR Copenhagen, 83% vs 90%, OR: 0.54 (95% CI: 0.34-0.88), and CPR combined, 76% vs 84%, OR: 0.70 (95% CI: 0.53-0.90); AED attached Vienna, 36% vs 44%, OR: 0.69 (95% CI: 0.53-0.90), AED attached Copenhagen, 21% vs 43%, OR: 0.33 (95% CI: 0.24-0.48), and AED attached combined, 31% vs 44%, OR: 0.53 (95% CI: 0.42-0.65); defibrillation Vienna, 14% vs 20%, OR: 0.61 (95% CI: 0.43-0.87), defibrillation Copenhagen, 16% vs 36%, OR: 0.35 (95% CI: 0.24-0.51), and defibrillation combined, 15% vs 27%, OR: 0.46 (95% CI: 0.36-0.61); and 30-day survival rate Vienna, 21% vs 26%, OR: 0.84 (95% CI: 0.58-1.20), 30-day survival rate Copenhagen, 33% vs 44%, OR: 0.65 (95% CI: 0.47-0.90), and 30-day survival rate combined, 25% vs 36%, OR: 0.73 (95% CI: 0.58-0.93).
Conclusions: Two-thirds of public OHCAs occurred in residential neighborhoods with fewer resuscitative efforts before ambulance arrival and lower survival than in nonresidential areas. Targeted efforts to improve early CPR and defibrillation for public OHCA patients in residential neighborhoods are needed.
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http://dx.doi.org/10.1016/j.jacc.2023.08.036 | DOI Listing |
J Racial Ethn Health Disparities
January 2025
Valleywise Health, Phoenix, AZ, USA.
Background: Missed clinic appointments disproportionately affect Medicaid-insured patients and residents of socioeconomically deprived neighborhoods. The role of the recent telemedicine expansion in reducing these disparities is unclear. We analyzed the relationship between census tract (CT) poverty level, residential segregation, missed appointments, and the role of telemedicine.
View Article and Find Full Text PDFJ AAPOS
January 2025
Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Purpose: To demonstrate the association between neighborhood quality, using the Child Opportunity Index (COI), and the visual outcomes in children with unilateral pediatric cataract.
Methods: We retrospectively reviewed the medical records of patients ≤18 years of age who presented at Boston Children's Hospital between 2000 and 2022 with unilateral cataracts and underwent cataract extraction. The collected data included patient demographics, residential addresses, the reason for the initial presentation, the age at presentation, the morphology of the cataract, and the final visual acuity.
Environ Epidemiol
February 2025
Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington.
Objective: We examined if racial residential segregation (RRS) - a fundamental cause of disease - is independently associated with air pollution after accounting for other neighborhood and individual-level sociodemographic factors, to better understand its potential role as a confounder of air pollution-health studies.
Methods: We compiled data from eight large cohorts, restricting to non-Hispanic Black and White urban-residing participants observed at least once between 1999 and 2005. We used 2000 decennial census data to derive a spatial RRS measure (divergence index) and neighborhood socioeconomic status (NSES) index for participants' residing Census tracts, in addition to participant baseline data, to examine associations between RRS and sociodemographic factors (NSES, education, race) and residential exposure to spatiotemporal model-predicted PM and NO levels.
J Public Health Manag Pract
January 2025
Author Affiliations: Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center (Mrs Manning, Dr Duan, and Dr Brokamp); and Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio (Dr Brokamp).
Context: Area-level predictive models are commonly used to screen children for blood lead levels (BLLs) greater than the Center for Disease Control and Prevention (CDC) blood lead reference value (BLRV) of 3.5 µg/dL.
Objectives: To increase screening accuracy and precision by creating a parcel-level model incorporating housing characteristics to predict parcels where children are at high risk.
Menopause
January 2025
Department of Child, Family, and Population Health Nursing, University of Washington, Seattle, WA.
Objective: This study aimed to determine whether exposure to traffic-related air pollution (TRAP) is associated with depressive symptoms while also characterizing the contribution of key explanatory factors related to sociodemographics and health. In addition, it aimed to also explore the role of reproductive health as a pathway through which exposure to TRAP may relate to depressive symptoms.
Methods: Participants were 688 healthy reproductive-age women in the Ovarian Aging Study.
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