ArticleThe spine journal : official journal of the North American Spine Society2017
Insurance status and reportable quality metrics in the cervical spine fusion population.
Article in The spine journal : official journal of the North American Spine Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Risk Factors of Unplanned Readmission after Anterior Cervical Discectomy and Fusion: A Systematic Review and Meta-Analysis.Yonsei medical journal · 2022Pooled it
- Impact of Social Determinants of Health in Spine Surgery.Current reviews in musculoskeletal medicine · 2023Review
- Equal care for all? Do surgical outcomes in shoulder arthroplasty depend on insurance type?JSES international · 2021Article
- Outcomes of Same-Day Orthopedic Surgery: Are Spine Patients More Likely to Have Optimal Immediate Recovery From Outpatient Procedures?International journal of spine surgery · 2021Article
- Factors Associated With Extended Length of Stay and 90-Day Readmission Rates Following ACDF.Global spine journal · 2020Article
- National Incidence of Patient Safety Indicators in the Total Hip Arthroplasty Population.The Journal of arthroplasty · 2017Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
background contextThe incidence of adverse care quality events among patients undergoing cervical fusion surgery is unknown using the definition of care quality employed by the Centers for Medicare and Medicaid Services (CMS). The effect of insurance status on the incidence of these adverse quality events is also unknown. PURPOSE: This study determined the incidence of hospital-acquired conditions (HAC) and patient safety indicators (PSI) in patients with cervical spine fusion and analyzed the association between primary payer status and these adverse events. STUDY
designThis is a retrospective cohort design. PATIENT SAMPLE: All patients in the Nationwide Inpatient Sample (NIS) aged 18 and older who underwent cervical spine fusion from 1998 to 2011 were included. OUTCOME MEASURES: Incidence of HAC and PSI from 1998 to 2011 served as outcome variables.
methodsWe queried the NIS for all hospitalizations that included a cervical fusion during the inpatient episode from 1998 to 2011. All comparisons were made between privately insured patients and Medicaid or self-pay patients because Medicare enrollment is confounded with age. Incidence of nontraumatic HAC and PSI was determined using publicly available lists of International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes. We built logistic regression models to determine the effect of primary payer status on PSI and nontraumatic HAC.
resultsWe identified 419,424 hospitalizations with cervical fusion performed during an inpatient episode. The estimated national incidences of nontraumatic HAC and PSI were 0.35% and 1.6%, respectively. After adjusting for patient demographics and hospital characteristics, Medicaid or self-pay patients had significantly greater odds of experiencing one or more HAC (odds ratio [OR] 1.51 95% conflict of interest [CI] 1.23-1.84) or PSI (OR 1.52 95% CI 1.37-1.70) than the privately insured cohort.
conclusionsAmong patients undergoing inpatient cervical fusion, primary payer status predicts PSI and HAC (both indicators of adverse health-care quality used to determine hospital reimbursement by CMS). As the US health-care system transitions to a value-based payment model, the cause of these disparities must be studied to improve the quality of care delivered to vulnerable patient populations.
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