Rising Mental Health Incidence Among Adolescents in Westchester, NY.
Context: Many governments have publicly released healthcare data, which can be mined for insights about disease conditions, and their impact on society. Methods: We present a big-data analytics approach to investigate data in the New York Statewide Planning and Research Cooperative System (SPARCS) c...
| Publicado en: | Community Mental Health Journal Vol. 58; no. 1; pp. 41 - 52 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jan2022
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=154501744&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 154501744 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00103853 CMH jtl: Community Mental Health Journal issn: 00103853 maglogo: N pubinfo: dt: Jan2022 vid: 58 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 154501744 10.1007/s10597-021-00788-8 ppf: 41 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.4MB tig: atl: Rising Mental Health Incidence Among Adolescents in Westchester, NY. aug: au: Rao, A. Ravishankar Rao, Saroja Chhabra, Rosy affil: Fairleigh Dickinson University, Teaneck, NJ, USA State University of New York, Buffalo, NY, USA Albert Einstein College of Medicine, New York, NY, USA su: New York (State) Minorities Age distribution Mental health Medical care costs Sex distribution Adolescent health Adolescence Psychiatric epidemiology Acquisition of data methodology Disease incidence Medical records Disease prevalence Descriptive statistics Data analytics Electronic health records sug: subj: Minorities Age distribution Mental health Medical care costs Sex distribution Adolescent health Adolescence New York (State) Offices of Mental Health Practitioners (except Physicians) Psychiatric epidemiology Acquisition of data methodology Disease incidence Medical records Disease prevalence Descriptive statistics Data analytics Electronic health records keyword: Big data analytics Big data analytics ab: Context: Many governments have publicly released healthcare data, which can be mined for insights about disease conditions, and their impact on society. Methods: We present a big-data analytics approach to investigate data in the New York Statewide Planning and Research Cooperative System (SPARCS) consisting of 20 million patient records. Findings: Whereas the age group 30–48 years exhibited an 18% decline in mental health (MH) disorders from 2009 to 2016, the age group 0–17 years showed a 5.4% increase. MH issues amongst the age group 0–17 years comprise a significant expenditure in New York State. Within this age group, we find a higher prevalence of MH disorders in females and minority populations. Westchester County has seen a 32% increase in incidences and a 41% increase in costs. Conclusions: Our approach is scalable to data from multiple government agencies and provides an independent perspective on health care issues, which can prove valuable to policy and decision-makers. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|