Insurance Impact on Nonurgent and Primary Care-Sensitive Emergency Department Use.
Objectives: To analyze the relationship between insurance and the likelihood of a nonurgent or primary care-sensitive (PCS) emergency department (ED) visit. Study Design: Retrospective cohort study. Methods: The probabilities of nonurgent and PCS ED visits were derived on the basis of the New Y...
| Publicado en: | American Journal of Managed Care Vol. 21; no. 3; pp. 210 - 218 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
MJH Life Sciences
Mar2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=102123076&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 102123076 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10880224 5QN jtl: American Journal of Managed Care issn: 10880224 maglogo: N pubinfo: dt: Mar2015 vid: 21 iid: 3 pid: 54670 pub: MJH Life Sciences place: Cranbury, New Jersey artinfo: ui: 102123076 102123076 107783575 102123076 ppf: 210 ppct: 8 formats: tig: atl: Insurance Impact on Nonurgent and Primary Care-Sensitive Emergency Department Use. aug: au: Chen, Weiwei Waters, Teresa M. Chang, Cyril F. affil: Department of Health Policy and Management, Florida International University (WC), Miami, FL sug: subj: Emergency Service Utilization Insurance, Health Evaluation Human Retrospective Design Record Review Prospective Studies Tennessee Data Analysis, Statistical Data Analysis Software Chi Square Test Descriptive Statistics P-Value Odds Ratio Regression Adult Middle Age Aged Male Female Clinical Assessment Tools Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Objectives: To analyze the relationship between insurance and the likelihood of a nonurgent or primary care-sensitive (PCS) emergency department (ED) visit. Study Design: Retrospective cohort study. Methods: The probabilities of nonurgent and PCS ED visits were derived on the basis of the New York University ED Classification Algorithm. We constructed a logit quasi-likelihood model to examine the insurance impact using 2008Tennessee Hospital Outpatient Discharge Data. Results: Among a total of 2,177,955 ED visits in the analysis, uninsured status was significantly associated with the likelihood that an ED visit was nonurgent or PCS.These associations were different for men and women and across major racial groups. On average, uninsured status was associated with an increased probability of 0.038 of being nonurgent and 0.054 of being PCS, relative to private insurance status.The corresponding numbers for public insurance status were 0.060 and 0.075, respectively. For nonurgent or PCS probabilities that are not close to 0, higher nonurgent or PCS likelihoods corresponded to lower ED cost per visit to third-party insurers and patients. Conclusions: Lack of insurance was associated with a higher probability of a nonurgent or PCS ED visit when compared with private insurance. When uninsured individuals gain coverage under the Affordable Care Act through either Medicaid expansion (public coverage) or insurance exchanges (private coverage), the average nonurgent or PCS probabilities could change either way given the opposite effects of public and private insurance coverage. If a lower nonurgent or PCS likelihood materialized, it could be associated with higher ED costs. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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