Here - American Geriatrics Society
Here - American Geriatrics Society
Here - American Geriatrics Society
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
P OSTER<br />
A BSTRACTS<br />
Conclusion: The focus of incentives motivated clinic activity, but<br />
the impact of care coordination incentives was greatest. Information<br />
about which had greater effect on utilization, patient outcomes, and<br />
clinic quality metrics is required to determine how to alter health policy.<br />
C110<br />
Person and Organizational Correlates of HEDIS High-Risk Drug<br />
Utilization within Veteran’s Administration Nursing Homes.<br />
D. M. Dosa, 2,1 O. Intrator, 2,1 G. Kochersberger, 3 P. Katz. 4 1. Medicine,<br />
Brown University, Providence, RI; 2. Providence Research<br />
Enhancement Award Program, Providence VA Medical Center,<br />
Providence, RI; 3. Canandaigua VAMC, Rochester, NY; 4. Baycrest<br />
Hospital, Toronto, ON, Canada.<br />
Supported By: Veteran’s Administration<br />
Objectives: A common error described in the literature is the<br />
utilization of high risk medications in the elderly—a population most<br />
likely to experience morbidity. This study evaluates the use of medications<br />
classified by the Healthcare Effectiveness Data Information<br />
Set (HEDIS) as high risk in VA Nursing Homes (NHs) and identifies<br />
any patient/organizational correlates of high use.<br />
Methods: Minimum Data Set (MDS) records from 2009 were<br />
merged with VA Pharmacy Data to identify residents of VA NHs who<br />
received at least one medication on the HEDIS high risk list. Utilizing<br />
HEDIS medication use as a quality indicator (QI), the MDS was<br />
then used to identify patient specific correlates of high use (e.g. demographics,<br />
cognitive status, and functional status.) Organizational<br />
practices within specific NHs were identified from a 2010 VA NH<br />
medical director survey. Descriptive statistics (Chi- Square, t-tests)<br />
were used to test associations between person level variables and a<br />
Poisson Regression analysis was conducted to test associations of organizational<br />
characteristics with the QI.<br />
Results: Of 43,577 veterans residing in any of 132 NHs, 2666<br />
(6.4%) received at least 1 HEDIS medication. Females were more<br />
likely to receive a HEDIS drug (10.5 versus 5.9%). Those with better<br />
cognition (7.1%) were more likely to receive a HEDIS drug compared<br />
to those with intermediate(4.6%) or severe cognitive status (4.0%).<br />
Conversely, residents were more likely to get a HEDIS medication as<br />
their functional status declined on a 28-point scale. Among organizational<br />
correlates, increased HEDIS medication use was noted at<br />
homes with increased hospice care, short stay rehabilitation, low cognitive<br />
impairment, and higher acuity. Decreased HEDIS use was associated<br />
with the perception of greater physician supervision by the medical<br />
director (Estimate: -0.69, 95% confidence interval (CI) -0.94 to<br />
-0.43) and by the perception of better NH leadership (Estimate: -0.47;<br />
95% CI: -0.73 to -0.21).All estimates were significant at less than 1%.<br />
Conclusions: The HEDIS QI appears to be important in targeting<br />
veterans receiving high risk medications in VA NHs. Certain subpopulations<br />
are at higher risk for receiving HEDIS medications and<br />
can be targeted for quality improvement efforts.<br />
C111<br />
Food Access in Aging Adults with Impaired Mobility.<br />
D. L. Huang, 1,2 D. E. Rosenberg, 3 S. D. Petz, 4 B. Belza. 4,5 1. Veterans<br />
Affairs Puget Sound Health Care System, Seattle, WA; 2. Division of<br />
Gerontology and Geriatric Medicine, University of Washington,<br />
Seattle, WA; 3. Group Health Research Institute, Seattle, WA; 4. School<br />
of Nursing, University of Washington, Seattle, WA; 5. Health<br />
Promotion Research Center, University of Washington, Seattle, WA.<br />
Supported By: FUNDING: CDC Prevention Research Centers<br />
Program, through a grant to the University of Washington Health<br />
Promotion Research Center (cooperative agreement #U48-DP001911).<br />
Dr. Huang receives salary support from the Department of Veterans<br />
Affairs Advanced Fellowship in <strong>Geriatrics</strong>.<br />
BACKGROUND: Food access is essential and may be difficult<br />
for aging adults, especially those with impaired mobility. Many aging<br />
adults may not live near locations where they can access food outside<br />
their residence, such as grocery stores. The purpose of this study was<br />
to determine where aging adults access food and built environment<br />
factors affecting their ability to access food.<br />
METHODS: Thirty-five older adults living in the Seattle, WA<br />
metropolitan area who used assistive mobility devices completed<br />
in-depth interviews focusing on built environment barriers and facilitators<br />
in their neighborhood and wore a Global Positioning System<br />
(GPS) device for 3 days. Qualitative data analysis of 20 interviews<br />
to date was completed to date by 2 researchers using Atlas.ti<br />
software.<br />
RESULTS: Participants’ mean age was 66.8 years (range 50-86<br />
years), 9 (25.7%) lived in low-income ( 80 years<br />
old, but evidence-based guidelines specific to the elderly are scarce.<br />
OBJECTIVES To correlate serious episodes of hypoglycemia<br />
(blood sugar < 65 with symptoms) with patient-specific factors and<br />
medication use. METHODS Prospectively designed retrospective<br />
explicit electronic chart review of 140 patients randomly selected out<br />
of a pool of 525 consecutive patients with diabetes that visited our<br />
clinic 8/1-10/30/2010. We excluded subjects as follows: age < 65<br />
(n=3), mislabeled as diabetics (n=6), no follow up visit<br />
4/1–10/30/2011 (n=6), or no follow up HbA1c after enrollment<br />
(n=8). Serious hypoglycemia was defined as blood sugar less than 65<br />
with reported symptoms. Chi 2 and logistic regression techniques<br />
were used to investigate the efficacy (levels of HbA1c, LDL) and<br />
safety (serious hypoglycemia) of chosen medication classes and<br />
achieved therapeutic goals. RESULTS The mean age was 78±8 years<br />
(range 65-100). Other baseline characteristics and univariate results<br />
are shown in table 1. 96% were on statins, yet only 32% had an LDL<br />