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FEATURE Annual Meeting Abstracts 2004<br />

229—EXAMINING THE RELATIONSHIPS<br />

WITHIN AND PRESENCE OF THE SERVICE<br />

PROFIT CHAIN IN INDEPENDENT COMMU-<br />

NITY PHARMACY. Bonnarens J, University <strong>of</strong><br />

Wisconsin–Madison, Wilkin N, University <strong>of</strong><br />

Mississippi Medical Center, McCaffrey D, Garner<br />

D, University <strong>of</strong> Mississippi. E-mail:<br />

jbonnarens@pharmacy.wisc.edu<br />

Objective: The intent <strong>of</strong> this study is to explore<br />

whether satisfied and loyal employees provide quality<br />

service, to explore whether this service is related<br />

to satisfied and loyal customers, and to explore if<br />

satisfied and loyal customers are correlated with<br />

revenue growth and pr<strong>of</strong>itability.<br />

Methods: This exploratory study was designed to<br />

use primary data collection techniques to examine<br />

the each <strong>of</strong> the seven “links” proposed in the service<br />

pr<strong>of</strong>it chain model. The study was to test the applicability<br />

<strong>of</strong> the model in community pharmacy,<br />

specifically independent community pharmacies.<br />

Recruitment efforts focused on a national pharmacy<br />

franchise corporation. A sample <strong>of</strong> pharmacies (N =<br />

40) was recruited. To collect the necessary data dictated<br />

by the service pr<strong>of</strong>it chain model, three groups<br />

<strong>of</strong> participants were identified: owners/managers,<br />

employees, and customers. A multistage data collection<br />

method was implemented using a total <strong>of</strong><br />

three different instruments, one for each participant<br />

group, to collect the varied amount <strong>of</strong> data identified<br />

in the model. Scale measures were adapted from the<br />

literature. Reliabilities were measured using<br />

Cronbach and factor, when appropriate, and results<br />

showed similar reliabilities found in the literature.<br />

Then, correlation coefficients were calculated for<br />

each link in the chain model.<br />

Results: Based on specific criteria, 47.5% <strong>of</strong><br />

pharmacies were eligible for analysis, including a<br />

usable response rate <strong>of</strong> 61.5% for employees and<br />

29.8% for customers. Based on correlation analyses,<br />

five <strong>of</strong> the possible seven relationships predicted by<br />

the service pr<strong>of</strong>it chain were found to be significant.<br />

In addition, the significant relationships that were<br />

identified support previous empirical testing <strong>of</strong> the<br />

model in other industries.<br />

Conclusions: Although further research is needed,<br />

the service pr<strong>of</strong>it chain holds potential as a management<br />

tool useful in explaining the link between<br />

customer satisfaction, employee satisfaction and<br />

financial performance <strong>of</strong> an independent community<br />

pharmacy.<br />

230—EXPERIENCE WITH A WORKSITE<br />

EDUCATIONAL PROGRAM ON ARTHRITIS<br />

AND MUSCULOSKELETAL DISORDERS.<br />

Gianarkis D, Pfizer. E-mail: dean.gianarkis@<br />

pfizer.com<br />

Objective: The objectives <strong>of</strong> the program were to<br />

measure the impact <strong>of</strong> arthritis on work productivity,<br />

assess the effectiveness <strong>of</strong> treatments, and educate<br />

participants about arthritis.<br />

Methods: Workshops were conducted at 13 different<br />

sites at 6 different companies nationwide.<br />

Participants were provided with educational materials,<br />

attended a lecture, and were then asked to complete<br />

a survey. A total <strong>of</strong> 798 surveys were evaluated,<br />

648 contained 11 questions, and 150 had 39<br />

questions.<br />

Results: Overall, 71% (106/150) <strong>of</strong> participants<br />

experienced symptoms <strong>of</strong> arthritis. 32% (48/150)<br />

had the disease for at least 5 years, 20% (26/133)<br />

had symptoms greater than 6 months, and 33%<br />

(46/140) experienced 10 or more episodes per year.<br />

Further, 61% (85/139) rated their symptoms as<br />

moderate to severe. 28% (31/111) <strong>of</strong> the population<br />

reported missing 5 or more work days in the last 12<br />

months and more than 70% (87/124) reported working<br />

6 months or more with arthritis symptoms in the<br />

past year. When the total impact <strong>of</strong> presenteeism<br />

was considered, arthritis reduced workforce productivity<br />

by 16.2%. The survey also included questions<br />

on medication use. 33.6% (45/140) <strong>of</strong> the sample<br />

did not take any medication for their arthritis symptoms,<br />

33.6% (47/140) take nonprescription products,<br />

and only 18.6% (26/140) reported taking prescription<br />

NSAIDs. Lastly, control <strong>of</strong> arthritis symptoms<br />

was measured. 38% <strong>of</strong> participants rated their<br />

symptom control as fairly poor, poor, or very poor<br />

and 29% (23/80) were dissatisfied or very dissatisfied<br />

with their current medication. After attending<br />

the workshop, 60% (303/506) <strong>of</strong> attendees plan to<br />

speak to their doctor about arthritis treatments and<br />

94% (615/657) indicated the ability to have a productive<br />

discussion with their doctor about arthritis.<br />

Conclusions: This workshop was successful in<br />

increasing awareness <strong>of</strong> the signs and symptoms <strong>of</strong><br />

arthritis and knowledge <strong>of</strong> treatment options.<br />

231—FACTORS AFFECTING BARGAIN-<br />

ING POWER OF DRUG-PURCHASING<br />

GROUPS IN THAILAND. Ngorsuraches S,<br />

Saichol S, Faculty <strong>of</strong> Pharmaceutical Sciences,<br />

Prince <strong>of</strong> Songkla University. E-mail:<br />

surachat@ratree.psu.ac.th<br />

Objective: To examine the effects <strong>of</strong> purchasing<br />

volume, purchasing group size, purchasing time, history<br />

<strong>of</strong> contract, and geographic location on bargaining<br />

power <strong>of</strong> the drug-purchasing groups in Thailand.<br />

Methods: Design: The bargaining model developed<br />

by Brooks, Doucette, and Sor<strong>of</strong>man (1999) is<br />

applied to the situation between drug-purchasing<br />

groups and manufacturers. Data Sources/Setting:<br />

This study uses retrospective analysis <strong>of</strong> two national<br />

databases, which are drug price information and<br />

hospital information for 2002, established by<br />

Ministry <strong>of</strong> Public Health. Data Collection: The<br />

drug price information database comprises two<br />

types <strong>of</strong> drug price lists, which are reference price<br />

and bid purchasing price for drug products. The reference<br />

price list is set as maximum allowable cost <strong>of</strong><br />

each product that public hospitals can possibly buy,<br />

while the bid purchasing price list is bid prices<br />

agreed between a purchasing group and a manufacturer.<br />

The reference price list is composed <strong>of</strong> generic<br />

name, package size, and unit price, while the bid<br />

purchasing price list contains generic name, trade<br />

name, package size, manufacturer, volume <strong>of</strong> purchased<br />

products, purchasing time, and bid purchasing<br />

price from each purchasing group. Enalapril 20<br />

mg tablets, gemfibrozil 300 mg tablets, hyoscine n-<br />

butylbromide 10 mg tablets, and ceftriaxone 1 gram<br />

vials are chosen in the study because they have high<br />

purchase volumes and represent either short- or<br />

long-term treatment. The hospital database contains<br />

numbers <strong>of</strong> beds <strong>of</strong> the hospitals in each purchasing<br />

group and health care zones, which are geographically<br />

assigned by Thai government. Main Outcome<br />

Measure: Bargaining power <strong>of</strong> drug-purchasing<br />

groups. Analysis Plan: Multiple regression analysis<br />

is planned for estimating coefficients in the bargaining<br />

model, which will reflect the effects <strong>of</strong> studied<br />

factors on the bargaining power.<br />

Results: Descriptive statistics show evidence <strong>of</strong><br />

different bargaining power across the drug-purchasing<br />

groups.<br />

Conclusions: NA.<br />

232—FACTORS AFFECTING UTILIZA-<br />

TION OF NEW PRESCRIPTION DRUGS.<br />

Agarwal S, Ye X, Cline R, University <strong>of</strong> Minnesota.<br />

E-mail: agar0040@umn.edu<br />

Objective: The objective <strong>of</strong> the present research<br />

is to analyze factors affecting utilization <strong>of</strong> new prescription<br />

drugs.<br />

Methods: The household component and prescribed<br />

medicines event files from the Medical<br />

Expenditure Panel Survey (MEPS) 2000 were used<br />

for this study. The analysis was limited to the<br />

antiarthritic therapeutic category. Elderly people<br />

over the age <strong>of</strong> 65 with arthritis were selected and<br />

COX-2 or NSAID prescriptions for these individuals<br />

were identified using National Drug Codes<br />

(NDC). The outcome variable was classified into<br />

two separate categories: (1) ever-use <strong>of</strong> a COX-2<br />

inhibitor and (2) never-use <strong>of</strong> a COX-2 but with a<br />

prescription for NSAID. Those who had at least one<br />

prescription <strong>of</strong> COX-2 were coded as having used<br />

newer drugs (Y = 1), while others with prescriptions<br />

<strong>of</strong> only NSAIDS were coded as not having tried<br />

newer drugs (Y = 2). The independent variables<br />

selected were guided by Andersen’s Health Services<br />

Utilization Model, which include predisposing variables<br />

(age, gender, and ethnicity), need variables<br />

(comorbidity, health status) and enabling variables<br />

(income, insurance status, copayment for a prescription<br />

drug). The difference in utilization rates was<br />

modeled using all the independent variables in a<br />

multivariate logistic regression equation model and<br />

the effects <strong>of</strong> each independent variable on the prescription<br />

<strong>of</strong> COX-2 were tested at the significance<br />

level <strong>of</strong> .05.<br />

Results: Preliminary results suggest a relationship<br />

between utilization <strong>of</strong> newer drugs and co-payments.<br />

Higher out-<strong>of</strong>-pocket prescription drug<br />

expenditures are associated with lower newer prescription<br />

drug use regardless <strong>of</strong> health status and comorbidities.<br />

Conclusions: People with higher copayments are<br />

deterred from using higher-priced newer prescription<br />

drugs. In addition, lower copayments could introduce<br />

moral hazard and lead to unnecessary use <strong>of</strong> expensive<br />

drugs. Insurers should introduce strategies that<br />

reduce needless consumption <strong>of</strong> new drugs while<br />

ensuring adequate access to appropriate therapy.<br />

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

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

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