scholarly journals Impact Of Asset Age/Fiscal Viability On Selected Measures Of Quality In Hospitals

Author(s):  
Jim Morey ◽  
Gary Scherzer ◽  
Hoseoup Lee

<p class="MsoNormal" style="text-align: justify; margin: 0in 34.2pt 0pt 0.5in;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Seventy-three New York hospitals were examined to determine if a relationship between age of assets, fiscal viability and quality of care existed.<span style="mso-spacerun: yes;">&nbsp; </span>These factors were examined for 2002 for each of the hospitals selected.<span style="mso-spacerun: yes;">&nbsp; </span>Several financial variables were used to construct a fiscal viability index; and a quality index was created from selected mortality outcomes and procedural measures that may be used to measure specific aspects of institutional care.<span style="mso-spacerun: yes;">&nbsp; </span>The premise that age of assets and fiscal viability will influence quality is gleaned from the Donabedian Model in which he proposed three domains important to the quality of health care.<span style="mso-spacerun: yes;">&nbsp; </span>Utilizing both the financial and quality of care indices, the following statistical models were prepared: Effect of asset age on fiscal viability index, Effect of asset age on individual fiscal viability measures, and Effect of asset age and fiscal viability index on quality index<span style="mso-spacerun: yes;">&nbsp; </span></span></span></p>

2011 ◽  
Vol 4 (11) ◽  
pp. 27
Author(s):  
Jim Morey ◽  
Ken Wallis ◽  
Hoseoup Lee ◽  
Gary Scherzer ◽  
Robert Orilio

Eight New York nursing homes, 4 open and 4 closed, were chosen at random for analysis. They were examined to determine if a relationship between age of assets, fiscal viability and quality of care existed. Three years of data for each nursing home was selected Several financial variables were used to construct a fiscal viability index; and a patient care index was created from selected measures that are used to measure specific aspects of institutional care. The premise was that the constructed indices will demonstrate a significant difference between closed nursing homes and homes remaining open. The analysis found that fiscal viability index could be a significant factor to differentiate the two groups of nursing homes, but the quality index showed no significant difference between the two groups.


Author(s):  
Jim Morey ◽  
Gary Scherzer ◽  
Hoseoup Lee ◽  
Kenneth Wallis ◽  
Laura Francis Gladney

<p class="MsoNormal" style="margin: 0in 0.5in 0pt;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Seventy-three New York hospitals were examined to determine if a difference existed between hospitals with nursing unions versus those without as it pertains to fiscal viability and quality of care.<span style="mso-spacerun: yes;">&nbsp; </span>Several financial variables were used to construct a fiscal viability index; and a quality index was created from selected mortality and procedural measures that may be used to measure specific aspects of institutional care.<span style="mso-spacerun: yes;">&nbsp; </span>The premise that the union status of a hospital&rsquo;s nursing staff will influence fiscal viability and quality is based on the impact that unionization may have on staffing and cost per patient.<span style="mso-spacerun: yes;">&nbsp; </span>The literature is replete with studies that assess the relationship between nurse staffing levels and quality.<span style="mso-spacerun: yes;">&nbsp; </span>In some cases there is a clear and compelling relationship, but in others, it is indeterminate. <span style="mso-spacerun: yes;">&nbsp;</span>Utilizing union status, selected employee variables, and financial and quality of care indices, four statistical models were prepared to explain these the interaction of these variables <span style="mso-spacerun: yes;">&nbsp;</span></span></span></p>


2007 ◽  
Vol 3 (2) ◽  
pp. 11-16
Author(s):  
Jim Morey ◽  
Hoseoup Lee ◽  
Ken Wallis

Forty-five New York nursing homes were examined to determine if a relationship between age of assets, fiscal viability and quality of nursing homes, as measured by patient care indices and survey deficiencies, existed. These factors were examined on 2004 data for the nursing homes selected. Several financial variables were used to construct a fiscal viability index; and a patient care index was created from selected procedural measures that may be used to measure specific aspects of institutional care. The premise is that age of assets and fiscal viability will influence quality of patient care/survey deficiencies. Utilizing both the financial and patient care and survey indices, the following statistical models were prepared:


PEDIATRICS ◽  
2000 ◽  
Vol 105 (Supplement_E1) ◽  
pp. 719-727 ◽  
Author(s):  
Peter G. Szilagyi ◽  
Jane L. Holl ◽  
Lance E. Rodewald ◽  
Lorrie Yoos ◽  
Jack Zwanziger ◽  
...  

Background. Little is known about the impact of providing health insurance to uninsured children who have asthma or other chronic diseases. Objectives. To evaluate the association between health insurance and the utilization of health care and the quality of care among children who have asthma. Design. Before-and-during study of children for a 1-year period before and a 1-year period immediately after enrollment in a state-funded health insurance plan. Intervention. In 1991 New York State implemented Child Health Plus (CHPlus), a health insurance program providing ambulatory and ED (ED), but not hospitalization coverage for children 0 to 12.99 years old whose family incomes were below 222% of the federal poverty level and who were not enrolled in Medicaid. Subjects. A total of 187 children (2–12.99 years old) who had asthma and enrolled in CHPlus between November 1, 1991 and August 1, 1993. Main Outcome Measures. Rates of primary care visits (preventive, acute, asthma-specific), ED visits, hospitalizations, number of specialists seen, and quality of care measures (parent reports of the effect of CHPlus on quality of asthma care, and rates of recommended asthma therapies). The effect of CHPlus was assessed by comparing outcome measures for each child for the year before versus the year after CHPlus enrollment, controlling for age, insurance coverage before CHPlus, and asthma severity. Data Ascertainment. Parent telephone interviews and medical chart reviews at primary care offices, EDs, and public health clinics. Main Results. Visit rates to primary care providers were significantly higher during CHPlus compared with before CHPlus for chronic illness care (.995 visits before CHPlus vs 1.34 visits per year during CHPlus), follow-up visits (.86 visits vs 1.32 visits per year), total visits (5.69 visits vs 7.11 visits per year), and for acute asthma exacerbations (.61 visits vs 0.84 visits per year). There were no significant associations between CHPlus coverage and ED visits or hospitalizations, although specialty utilization increased (30% vs 40%; P = .02). According to parents, CHPlus reduced asthma severity for 55% of children (no change in severity for 44% and worsening severity for 1%). Similarly, CHPlus was reported to have improved overall health status for 45% of children (no change in 53% and worse in 1%), primarily attributable to coverage for office visits and asthma medications. CHPlus was associated with more asthma tune-up visits (48% before CHPlus vs 63% during CHPlus). There was no statistically significant effect of CHPlus on several other quality of care measures such as follow-up after acute exacerbations, receipt of influenza vaccination, or use of bronchodilators or antiinflammatory medications. Conclusions. Health insurance for uninsured children who have asthma helped overcome financial barriers that prevented children from receiving care for acute asthma exacerbations and for chronic asthma care. Health insurance was associated with increased utilization of primary care for asthma and improved parent perception of quality of care and asthma severity, but not with some quality indicators. Although more intensive interventions beyond health insurance are needed to optimize quality of asthma care, health insurance coverage substantially improves the health care for children who have asthma.


2018 ◽  
Vol 25 (4) ◽  
pp. 463-472 ◽  
Author(s):  
Liqiong Guo ◽  
Melissa Danielson ◽  
Lindsay Cogan ◽  
Leah Hines ◽  
Brian Armour

Objective: To identify children with ADHD enrolled in New York State (NYS) Medicaid and characterize ADHD-associated costs by treatment category. Method: In 2013, 1.4 million children aged 2 to 17 years were enrolled in NYS Medicaid. Medicaid claims and encounters were used to identify children with ADHD, classify them by type of treatment received, and estimate associated costs. Results: The ADHD cohort comprised 5.4% of all Medicaid-enrolled children, with 35.0% receiving medication only, 16.2% receiving psychological services only, 42.2% receiving both, and 6.6% receiving neither. The total costs for the ADHD cohort (US$729.3 million) accounted for 18.1% of the total costs for children enrolled in NYS Medicaid. Conclusion: This study underscores the importance of achieving a better understanding of children with ADHD enrolled in NYS Medicaid. A framework to categorize children with ADHD based on their treatment categories may help to target interventions to improve the quality of care and reduce costs.


PEDIATRICS ◽  
2004 ◽  
Vol 113 (5) ◽  
pp. e395-e404 ◽  
Author(s):  
P. G. Szilagyi ◽  
A. W. Dick ◽  
J. D. Klein ◽  
L. P. Shone ◽  
J. Zwanziger ◽  
...  

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 1145-1145
Author(s):  
R. Milte ◽  
J. Ratcliffe ◽  
G. Chen ◽  
M. Crotty

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