23.10.2014 Views

Downloaded - Journal of American Pharmacists Association

Downloaded - Journal of American Pharmacists Association

Downloaded - Journal of American Pharmacists Association

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Annual Meeting Abstracts 2004<br />

FEATURE<br />

Methods: The study used an exploratory telephone<br />

survey and targeted all 5,270 community<br />

pharmacies in California. Pharmacies willing to participate<br />

were surveyed about current or past DSM<br />

programs in the pharmacy. The reasons for closure<br />

<strong>of</strong> past DSM programs were also obtained. For<br />

pharmacies with no DSM programs, interest as well<br />

as perceived barriers in developing DSM programs<br />

were examined. The pharmacies with existing DSM<br />

programs were sent a follow-up survey about the<br />

characteristics <strong>of</strong> the DSM program, including challenges<br />

faced in establishing DSM programs, DSM<br />

protocols used, measurement <strong>of</strong> outcomes, reimbursement<br />

patterns, and documentation <strong>of</strong> success<br />

<strong>of</strong> the program. Demographic information was<br />

obtained from all participating pharmacies.<br />

Results: Data from a total <strong>of</strong> 1,299 pharmacies<br />

had been analyzed when this abstract was prepared.<br />

Only about 4% (51) <strong>of</strong> the sample had a DSM program<br />

currently in place; a substantial proportion<br />

(37) were in independent pharmacies. Diabetes care<br />

was the most prevalent program, followed by asthma<br />

and hyperlipidemia. Seven pharmacies had a<br />

program that closed down because <strong>of</strong> either limited<br />

patient acceptance or exit <strong>of</strong> directing pharmacist.<br />

About 20% <strong>of</strong> the pharmacies who did not have a<br />

program were interested in implementing a DSM<br />

program. Interest was highest for diabetes care.<br />

Commonly perceived barriers to new programs<br />

were limited time and staff.<br />

Conclusions: Independent pharmacies tended to<br />

have more DSM programs and more autonomous<br />

decision making about developing such programs.<br />

The most prevalent and the most desired type <strong>of</strong><br />

DSM program appeared to be diabetes. Data from<br />

the remaining pharmacies and DSM programs are<br />

being analyzed and tabulated.<br />

211—COLLEGE STUDENTS AND STRESS:<br />

WHAT IS THE CONNECTION? A HUMANIS-<br />

TIC OUTCOMES ASSESSMENT. White A,<br />

University <strong>of</strong> Florida, Xiao H, Florida A&M<br />

University. E-mail: whiteann@ufl.edu<br />

Objective: The objectives <strong>of</strong> this study are to<br />

determine the top three stressors for college students<br />

and to explore how different demographics affect<br />

those stressors.<br />

Methods: Primary Data Collection, Cross-<br />

Sectional Study Items for the questionnaire were<br />

obtained from the Brief College Student Hassles<br />

Scale (BCSHS), Erindale College University <strong>of</strong><br />

Toronto. Students responded to a Likert-type scale<br />

that ranged from 1 (never) to 5 (extremely <strong>of</strong>ten)<br />

and ranked stressors in terms <strong>of</strong> frequency and the<br />

extent to which they were bothered by the stressor.<br />

The sample consisted <strong>of</strong> 122 students in pharmacy<br />

school at Florida A & M University. Frequencies,<br />

Student’s t-test, correlation, regression, and oneway<br />

ANOVA were conducted using SPSS.<br />

Results: t-Tests: For men (P < .01), the five highest<br />

ranked items were (1) parking problems (µ =<br />

4.13), (2) preparing for examinations (µ = 4.11), (3)<br />

lack <strong>of</strong> money (µ = 3.48), (4) schoolwork (working<br />

on term papers, reading tedious hard material; µ =<br />

3.42), and (5) unavailable resources (µ = 3.18). For<br />

women (P < .01), the five highest ranked items were<br />

(1) parking problems (µ = 4.36), (2) examination (µ<br />

= 4.20), (3) schoolwork (µ = 3.83), (4) lack <strong>of</strong><br />

money (µ = 3.39), and (5) waiting in lines, appointments<br />

(µ = 3.22). Pearson’s Correlation: A negative<br />

relationship between age and the stressor appearance<br />

<strong>of</strong> self (P = .021). A positive relationship<br />

between female and the stressor health physical<br />

symptoms <strong>of</strong> self (e.g., headache, premenstrual syndrome,<br />

allergies) (P = .001). A positive relationship<br />

between female and the stressor roommates/house<br />

mates relationship (P = .020). A positive relationship<br />

between female and the stressor weight/dietary<br />

management (P = .007). One-Way ANOVA:<br />

Significant differences were identified between age<br />

groups with regard to finding or moving into housing<br />

and parking problems; between races with<br />

regard to bills/overspending; and between men and<br />

women with regard to health–physical symptoms.<br />

Regression Analysis: Males, age 26 and up (P =<br />

.029) and age 17–22 years (P = .016) were less<br />

stressed by money than those ages 23–25 years.<br />

Whites were less stressed out by money than other<br />

races (P = .043). For women, no significant differences<br />

were identified among demographics and<br />

stressors.<br />

Conclusions: Demographics and stress are related,<br />

according to the results <strong>of</strong> this study. Areas in<br />

which efforts should be focused for improvement in<br />

the future are identified.<br />

Original Citation: International Society for<br />

Pharmacoeconomics and Outcomes Research, 8th<br />

International Meeting, May 2003, Arlington, Va.<br />

212—COMMUNITY PHARMACISTS’<br />

PERCEPTIONS OF COMPUTERIZED<br />

DRUG–DRUG INTERACTION ALERTS.<br />

Malone D, Abarca J, Skrepnek G, Rehfeld R,<br />

Armstrong E, Murphy J, Grizzle A, Woosley R,<br />

University <strong>of</strong> Arizona. E-mail: malone@<br />

pharmacy.arizona.edu<br />

Objective: To evaluate community pharmacists’<br />

attitudes toward computerized drug–drug interaction<br />

(DDI) alerts, self-perceived ability to interact<br />

with physicians, and perceived physician receptiveness<br />

to DDIs.<br />

Methods: A survey was mailed to pharmacy<br />

managers <strong>of</strong> 3,000 randomly selected community<br />

pharmacies in 17 distinct Metropolitan Statistical<br />

Areas. A 31-item survey instrument was developed<br />

for this study. Of these, seven attitudinal questions<br />

using a 6-item Likert scale (1: strongly disagree to<br />

6: strongly agree) were included to obtain pharmacists’<br />

attitudes towards DDI alerts and their self-perceived<br />

ability to handle DDIs. Another item collected<br />

information on the ability to obtain detailed DDI<br />

information from the pharmacy computer system.<br />

Each pharmacy was sent an announcement postcard,<br />

a cover letter and survey instrument, a reminder<br />

postcard, and a follow-up survey for nonresponders.<br />

Results: A total <strong>of</strong> 718 usable surveys were<br />

returned (24% response rate). Pharmacy managers<br />

reported that they had confidence in the ability <strong>of</strong><br />

their computer system to identify DDIs (mean ± SD,<br />

4.49 ± 1.23). Most did not think that DDI alerts<br />

were a waste <strong>of</strong> time (mean ± SD, 2.14 ± 1.13).<br />

Pharmacy managers agreed with the statement that<br />

they had confidence in their own ability to identify<br />

DDIs (mean ± SD, 4.91 ± 0.91) and that DDIs are<br />

easily differentiated from other DUR alerts (mean ±<br />

SD, 4.14 ± 1.42). When responses were analyzed<br />

with respect to whether the pharmacy computer system<br />

provided detailed information about DDIs or<br />

not, those pharmacists with pharmacy systems that<br />

provided detailed information were more likely to<br />

agree that they were confident that their computer<br />

system provided meaningful alerts, less likely to<br />

agree that DDI alerts were meaningless, more confident<br />

in their ability to identify DDIs, and less likely<br />

to agree that the volume <strong>of</strong> alerts makes it difficult<br />

to differentiate clinically meaningful interactions<br />

from unimportant interactions (P < .01).<br />

Conclusions: The results <strong>of</strong> this study suggest<br />

that pharmacy managers in a community setting are<br />

confident in the ability <strong>of</strong> their computer system to<br />

identify DDIs and their ability to contact physicians<br />

about DDIs. Most pharmacists did not feel the DDI<br />

alerts were useless or a waste <strong>of</strong> time. <strong>Pharmacists</strong><br />

working in stores with computer systems that provide<br />

detailed information about DDIs were more<br />

likely to agree with statements that DDI alerts were<br />

meaningful.<br />

213—COMPARING OKLAHOMA MEDI-<br />

CAID RX REIMBURSEMENT RATE VERSUS<br />

THE OFFICE OF INSPECTOR GENERAL’S<br />

REPORT OF ACQUISITION COST. Phung Q,<br />

Oklahoma State University, Jacobs E, University <strong>of</strong><br />

Oklahoma Health Sciences Center. E-mail:<br />

hoa-phung@ouhsc.edu<br />

Objective: The objective <strong>of</strong> this study is to estimate<br />

the reimbursement rate to Oklahoma pharmacies<br />

based on the discount <strong>of</strong>f <strong>of</strong> average wholesales<br />

price (AWP) and compare it to the four tier system<br />

suggest by the Office <strong>of</strong> Inspector General (OIG) to<br />

determine how well Oklahoma’s reimbursement<br />

rates match the OIG’s report <strong>of</strong> acquisition cost. We<br />

also incorporate the State Maximum Allowable<br />

Cost (SMAC) and narrow therapeutic index (NTI)<br />

drugs into the analysis to reflect the state’s current<br />

Medicaid policies.<br />

Methods: The study population was derived from<br />

the Oklahoma Healthcare Authority (OHCA)<br />

Medicaid prescription database for the year 2002.<br />

This database was combined with Medi-Span<br />

Master Drug Database (MDDB) and a SMAC<br />

dataset to obtain pricing information such as AWP,<br />

the federal upper limit (FUL), and SMAC. The data<br />

were classified into a tier system reflective <strong>of</strong> the<br />

OIG report and the mean discount <strong>of</strong>f <strong>of</strong> AWP was<br />

calculated for each tier. The results were compared<br />

with the OIG report for significance. The data were<br />

further reclassified into a different tier system to<br />

incorporate SMAC and NTI into the analysis.<br />

Results: The results indicated that OHCA reimbursement<br />

rate was comparable to the estimated<br />

acquisition cost <strong>of</strong> pharmacy. For Brand, OHCA<br />

2004 Abstracts <strong>of</strong> Contributed Papers<br />

Vol. 44, No. 2 March/April 2004 www.japha.org <strong>Journal</strong> <strong>of</strong> the <strong>American</strong> <strong>Pharmacists</strong> <strong>Association</strong> 279<br />

<strong>Downloaded</strong> From: http://japha.org/ on 01/25/2014

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!