Relevant bibliographies by topics / Vermont State Hospital

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Academic literature on the topic 'Vermont State Hospital'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Vermont State Hospital"

1

Wolfe, Jonathan. "Vermont Scrambles for Alternatives After Closing Only State Hospital." Psychiatric News 46, no. 23 (December 2, 2011): 2a—28. http://dx.doi.org/10.1176/pn.46.23.psychnews_46_23_2-a.

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2

Carling, Paul J., Sutherland Miller, La Vonne Daniels, and Frances L. Randolph. "A State Mental Health System With No State Hospital: The Vermont Feasibility Study." Psychiatric Services 38, no. 6 (June 1987): 617–23. http://dx.doi.org/10.1176/ps.38.6.617.

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3

Johnson, Ali, Leanne Shulman, Jennifer Kachajian, Brian L. Sprague, Farrah Khan, Ted James, David Cranmer, Peter Young, and Ruth Heimann. "Access to Care in Vermont: Factors Linked With Time to Chemotherapy for Women With Breast Cancer—A Retrospective Cohort Study." Journal of Oncology Practice 12, no. 9 (September 2016): e848-e857. http://dx.doi.org/10.1200/jop.2016.013409.

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Purpose: In the rural United States, there are multiple potential barriers to the timely initiation of chemotherapy. The goal of this study was to identify factors associated with delays in the time from initial diagnosis to first systemic therapy (TTC) among women with breast cancer in Vermont. Methods: Using data from the Vermont Cancer Registry, we explored TTC for 702 female Vermont residents diagnosed with stage I to III breast cancer between 2006 and 2010 who received adjuvant chemotherapy. Multivariable linear regression was used to evaluate the associations between TTC and patient, tumor, treatment, and geographic variables. Results: Mean TTC was 10.2 weeks. Longer drive time (P < .001), more invasive surgery (P = .01), and breast reconstruction (P < .001) were each associated with longer TTC. Each additional 15 minutes of drive time was associated with a 0.34-week (95% CI, 0.22 to 0.46 weeks) increase in TTC. Participants age younger than 65 years whose primary payer was Medicare (n = 27) had significantly longer average TTC, by 2.37 weeks (P = .001), compared with those with private or military insurance. There was also substantial variation in TTC across hospitals (P < .001). Conclusion: Most female patients with stage I to III breast cancer in Vermont are receiving adjuvant chemotherapy within the National Comprehensive Cancer Network–recommended timeframe; however, improvements remain needed for certain subgroups. Novel approaches for women with long drive times need to be developed and evaluated in the community. Variation in TTC by hospital, even after adjusting for patient, tumor, and treatment factors, also suggests opportunities for process improvement.
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4

McGivern, Lauri, Leanne Shulman, Jan K. Carney, Steven Shapiro, and Elizabeth Bundock. "Death Certification Errors and the Effect on Mortality Statistics." Public Health Reports 132, no. 6 (November 2017): 669–75. http://dx.doi.org/10.1177/0033354917736514.

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Objective: Errors in cause and manner of death on death certificates are common and affect families, mortality statistics, and public health research. The primary objective of this study was to characterize errors in the cause and manner of death on death certificates completed by non–Medical Examiners. A secondary objective was to determine the effects of errors on national mortality statistics. Methods: We retrospectively compared 601 death certificates completed between July 1, 2015, and January 31, 2016, from the Vermont Electronic Death Registration System with clinical summaries from medical records. Medical Examiners, blinded to original certificates, reviewed summaries, generated mock certificates, and compared mock certificates with original certificates. They then graded errors using a scale from 1 to 4 (higher numbers indicated increased impact on interpretation of the cause) to determine the prevalence of minor and major errors. They also compared International Classification of Diseases, 10th Revision (ICD-10) codes on original certificates with those on mock certificates. Results: Of 601 original death certificates, 319 (53%) had errors; 305 (51%) had major errors; and 59 (10%) had minor errors. We found no significant differences by certifier type (physician vs nonphysician). We did find significant differences in major errors in place of death ( P < .001). Certificates for deaths occurring in hospitals were more likely to have major errors than certificates for deaths occurring at a private residence (59% vs 39%, P < .001). A total of 580 (93%) death certificates had a change in ICD-10 codes between the original and mock certificates, of which 348 (60%) had a change in the underlying cause-of-death code. Conclusions: Error rates on death certificates in Vermont are high and extend to ICD-10 coding, thereby affecting national mortality statistics. Surveillance and certifier education must expand beyond local and state efforts. Simplifying and standardizing underlying literal text for cause of death may improve accuracy, decrease coding errors, and improve national mortality statistics.
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5

"A state mental health system with no state hospital: the Vermont plan ten years later." Psychiatric Services 48, no. 8 (August 1997): 1078–80. http://dx.doi.org/10.1176/ps.48.8.1078.

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6

"Community integration of former state hospital patients: outcomes of a policy shift in Vermont." Psychiatric Services 47, no. 10 (October 1996): 1088–92. http://dx.doi.org/10.1176/ps.47.10.1088.

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7

Tzou, Wendy S., David F. Katz, Ryan G. Aleong, William H. Sauer, and David P. Kao. "Abstract 18718: Trends, Predictors, and Regional Variation in Use of Catheter Ablation Among 184,443 Hospitalizations for Ventricular Tachycardia." Circulation 132, suppl_3 (November 10, 2015). http://dx.doi.org/10.1161/circ.132.suppl_3.18718.

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Introduction: Catheter radiofrequency ablation (RFA) is used increasingly for treatment of ventricular tachycardia (VT), but little is known about utilization patterns. Hypothesis: Regional trends in VT hospitalization and RFA,and patient characteristics associated with VT RFA vary. Methods: Hospital discharge data was obtained from state agencies in California, New York, New Jersey, Vermont, New Hampshire, West Virginia, Colorado, and Texas from 1994-2012. All records with primary diagnosis of VT (ICD9-CM 427.1) were analyzed. Population-adjusted hospitalization rates were estimated using US Census Bureau data. In hospitals performing VT RFA, patient characteristics associated with RFA were identified using multivariate logistic regression. Results: In total, 184,443 hospitalizations for VT were reported; 11,941/136,437 (8.8%) admitted to VT ablation hospitals underwent RFA. Annual VT hospitalization rates varied from 10-17/100,000 in California (CA) and Texas (TX) to 20-30 in New York and New Jersey (NJ). VT ablation/hospitalization frequency varied from 9% in NJ to 18% in CA and TX. Positive predictors of undergoing VT RFA were female gender, non-white race, admission from home, and atrial flutter. Negative predictors included advancing age, non-private insurance, atrial fibrillation, anemia, coronary artery disease, heart failure, hypertension, and shock on admission (Figure, A). Higher RFA rates for women were driven by more patients without structural heart disease compared to men (Figure, B). Non-white patients were more likely to undergo RFA irrespective of structural heart disease. Conclusion: Significant regional variations exist in VT hospitalization and ablation rates. Also of note, women and non-white patients were more likely to undergo ablation, which may have reflected important differences in cardiac disease substrate.
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8

Delanois, Ronald E., Wayne A. Wilkie, Nequesha S. Mohamed, Ethan A. Remily, Andrew N. Pollak, and Michael A. Mont. "Maryland's Global Budget Revenue Model: How Do Costs and Readmission Rates Fare for Patients Undergoing Total Knee Arthroplasty?" Journal of Knee Surgery, May 5, 2020. http://dx.doi.org/10.1055/s-0040-1709677.

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AbstractIn 2014, Maryland implemented the Global Budget Revenue (GBR) model for cost reduction and quality improvement. This study evaluated GBR's effect on demographics and outcomes for patients who underwent primary total knee arthroplasty (TKA) by comparing Maryland to the United States (U.S.). We identified primary TKA patients in Maryland's State Inpatient Database (n = 71,022) and the National Inpatient Sample (n = 4,045,245) between 2011 and 2016 utilizing International Classification of Disease (ICD)-9 and ICD-10 diagnosis codes. Multiple regression was used for difference-in-difference (DID) analyses to compare the intervention cohort (Maryland) to the nonintervention cohort (U.S.) between the pre-GBR (2011–2013) and post-GBR (2014–2016) periods. After GBR implementation, there were proportionally less white, obese, morbidly obese, Medicare, and Medicaid patients with proportionally more routine discharge patients in Maryland and the U.S. (all p < 0.001). There were proportionally less home health care (HHC) patients in Maryland, but more in the U.S. (both p < 0.001). The mean lengths of stay (LOS), costs, and complications decreased for both cohorts, while charges increased for the U.S. (all p < 0.001). The DID analysis suggested Maryland saw more Asian and Medicaid patients and less obese and morbidly obese patients under GBR. The DID assessments also found decreased LOS, costs, and charges (p < 0.001 for all) for patients under GBR. As other states such as Pennsylvania and Vermont explore hospital budgets, Maryland may provide a more viable model for future health care policies that incorporate global budgets.
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9

Scott, Erika, Liane Hirabayashi, Judy Graham, Nicole Krupa, and Paul Jenkins. "Using hospitalization data for injury surveillance in agriculture, forestry and fishing: a crosswalk between ICD10CM external cause of injury coding and The Occupational Injury and Illness Classification System." Injury Epidemiology 8, no. 1 (February 15, 2021). http://dx.doi.org/10.1186/s40621-021-00300-6.

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Abstract Background While statistics related to occupational injuries exist at state and national levels, there are notable difficulties with using these to understand non-fatal injuries trends in agriculture, forestry, and commercial fishing. This paper describes the development and testing of a crosswalk between ICD-10-CM external cause of injury codes (E-codes) for agriculture, forestry, and fishing (AFF) and the Occupational Injury and Illness Classification System (OIICS). By using this crosswalk, researchers can efficiently process hospitalization data and quickly assemble relevant cases of AFF injuries useful for epidemiological tracking. Methods All 6810 ICD-10-CM E- codes were double-reviewed and tagged for AFF- relatedness. Those related to AFF were then coded into a crosswalk to OIICS. The crosswalk was tested on hospital data (inpatient, outpatient, and emergency department) from New York, Massachusetts, and Vermont using SAS9.3. Injury records were characterized by type of event, source of injury, and by general demographics using descriptive epidemiology. Results Of the 6810 E-codes available in the ICD-10-CM scheme, 263 different E-codes were ultimately classified as 1 = true case, 2 = traumatic/acute and suspected AFF, or 3 = AFF and suspected traumatic/acute. The crosswalk mapping identified 9969 patient records either confirmed to be or suspected to be an AFF injury out of a total of 38,412,241 records in the datasets, combined. Of these, 963 were true cases of agricultural injury. The remaining 9006 were suspected AFF cases, where the E-code was not specific enough to assign certainty to the record’s work-relatedness. For the true agricultural cases, the most frequent combinations presented were contact with agricultural/garden equipment (301), non-roadway incident involving off-road vehicle (222), and struck by cow or other bovine (150). For suspected agricultural cases, the majority (68.2%) represent animal-related injuries. Conclusions The crosswalk provides a reproducible, low-cost, rapid means to identify and code AFF injuries from hospital data. The use of this crosswalk is best suited to identifying true agricultural cases; however, capturing suspected cases of agriculture, forestry, and fishing injury also provides valuable data.
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Books on the topic "Vermont State Hospital"

1

Kincheloe, Marsha R. Empty beds: A history of Vermont State Hospital. Barre, Vt: M. Kincheloe, 1989.

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2

Vermont. Dept. of Health. The implementation of Act 114 at the Vermont State Hospital, report to the Legislature on Act 114. Burlington, Vt: Vermont Dept. of Health, 2007.

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