Social Determinants of Health and Pediatric Mental Health Before and During COVID-19 in New York City Primary Care Pediatrics.
Yonit LaxKate CunoKim KellerJonathan KoganMichael SilverJeffrey R AvnerPublished in: Population health management (2022)
In March 2020, at the start of the COVID-19 pandemic, New York City instituted a shelter-in-place order, dramatically affecting the area's social and economic landscape. Pediatric primary care practices universally screen for social determinants of health (SDOH) and mental health (MH) needs, providing an opportunity to assess changes in the population's needs during COVID-19. To assess changes in SDOH and MH needs of pediatric families before and during COVID-19, the authors conducted a prospective cohort study of patients seen in the hospital's pediatric primary care practices. Baseline data were collected during well visits from March 1, 2019 to March 1, 2020, and included the following outcome measures: Patient Health Questionnaire (PHQ2) score >0, PHQ9 scores ≥5, pediatric symptom checklist (PSC17) scores ≥15, and SDOH needs. Follow-up pandemic data were collected from June to August 2020. A total of 423 patients (215 [51%] female, 279 [66%] Hispanic, and 248 [59%] primary English speakers) were enrolled in the study. The following SDOH needs significantly increased during COVID-19: food (17%-32%; P < 0.001), legal (19%-30%; P = 0.003), public benefits (4%-13.8%; P < 0.001), and housing (17.2%-26%; P = 0.002). There was no significant change in MH screening results during COVID-19 compared with baseline: positive PHQ2 depression screen (27.9% vs. 34.3%, P = 0.39), positive PHQ9 depression screen (45.5% vs. 64.1%, P = 0.32), or positive PSC17 measuring emotional and behavioral concerns (4.9% vs. 8.2%, P = 0.13). During COVID-19, patients with food, housing, or legal needs had a significantly higher likelihood of having emotional or behavioral difficulties ( P < 0.01). Further research is needed to evaluate outcomes in the following months.
Keyphrases
- primary care
- mental health
- healthcare
- mental illness
- public health
- high throughput
- end stage renal disease
- depressive symptoms
- sars cov
- human health
- general practice
- chronic kidney disease
- electronic health record
- newly diagnosed
- coronavirus disease
- health information
- type diabetes
- emergency department
- risk assessment
- machine learning
- adipose tissue
- prognostic factors
- metabolic syndrome
- childhood cancer
- single cell
- peritoneal dialysis
- artificial intelligence
- adverse drug