Abstract
Background: Prescription drug monitoring programs (PDMPs) are state-operated electronic databases that contain patients' controlled drug histories. Most states provide these data to pharmacists via online web portals to combat prescription drug abuse and diversion. Objectives: The objectives of this study were to: 1) explore the theory of planned behavior's (TPB) utility in predicting Texas pharmacists' intention to utilize an online accessible PDMP; 2) to determine the contribution of each construct, attitude (A), subjective norm (SN) and perceived behavioral control (PBC) in predicting pharmacists' intention; and 3) test whether the addition of perceived obligation (PO) is significantly related to pharmacists' intention. Methods: A cross-sectional, 36-item questionnaire was developed from focus groups and literature of pharmacists' views regarding prescription drug abuse. A total of 998 practicing Texas community pharmacists were surveyed to collect data on their intention to utilize a PDMP database. Descriptive statistics, multivariate and hierarchical logistic regression analyses were used to address the study objectives. Results: The response rate was 26.2% (261/998). TPB constructs were significant predictors of pharmacists' high intention to utilize the PDMP. Pharmacists with positive attitudes were almost twice as likely to have high intention (odds ratio [OR]=1.8, 95% confidence interval [CI]=1.2-2.8). SN was the strongest predictor of pharmacists' high intention (OR=2.2, 95% CI=1.4-3.3). Pharmacists with high PBC were also twice as likely to have high intention (OR=1.9, 95% CI=1.2-3.0). Additionally, pharmacists' PO contributed to the prediction of high intention (OR=1.8, 95% CI=1.0-3.1) above that explained by the TPB model constructs (X2=4.14, P<0.05). Conclusions: TPB with the addition of PO was useful in predicting pharmacists' high intention to utilize a PDMP database. Interventions that address pharmacists' A, SN, PBC, and PO may be valuable to increase pharmacists' high intention. Pharmacists' utilization of PDMPs may lead to a decrease in themorbidity and mortality associated with prescription drug abuse. Future studies that assess whetherintention to use PDMPs translates to actual usage are needed to strengthen these findings.
| Original language | English |
|---|---|
| Pages (from-to) | 285-296 |
| Number of pages | 12 |
| Journal | Research in Social and Administrative Pharmacy |
| Volume | 10 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Mar 2014 |
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Keywords
- Community pharmacists
- Diversion
- Intention
- Prescription drug monitoring program
- Theory of planned behavior
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Using the theory of planned behavior to examine pharmacists' intention to utilize a prescription drug monitoring program database. / Fleming, Marc Labaron; Barner, Jamie C.; Brown, Carolyn M.; Shepherd, Marvin D.; Strassels, Scott; Novak, Suzanne.
In: Research in Social and Administrative Pharmacy, Vol. 10, No. 2, 01.03.2014, p. 285-296.Research output: Contribution to journal › Article
TY - JOUR
T1 - Using the theory of planned behavior to examine pharmacists' intention to utilize a prescription drug monitoring program database
AU - Fleming, Marc Labaron
AU - Barner, Jamie C.
AU - Brown, Carolyn M.
AU - Shepherd, Marvin D.
AU - Strassels, Scott
AU - Novak, Suzanne
PY - 2014/3/1
Y1 - 2014/3/1
N2 - Background: Prescription drug monitoring programs (PDMPs) are state-operated electronic databases that contain patients' controlled drug histories. Most states provide these data to pharmacists via online web portals to combat prescription drug abuse and diversion. Objectives: The objectives of this study were to: 1) explore the theory of planned behavior's (TPB) utility in predicting Texas pharmacists' intention to utilize an online accessible PDMP; 2) to determine the contribution of each construct, attitude (A), subjective norm (SN) and perceived behavioral control (PBC) in predicting pharmacists' intention; and 3) test whether the addition of perceived obligation (PO) is significantly related to pharmacists' intention. Methods: A cross-sectional, 36-item questionnaire was developed from focus groups and literature of pharmacists' views regarding prescription drug abuse. A total of 998 practicing Texas community pharmacists were surveyed to collect data on their intention to utilize a PDMP database. Descriptive statistics, multivariate and hierarchical logistic regression analyses were used to address the study objectives. Results: The response rate was 26.2% (261/998). TPB constructs were significant predictors of pharmacists' high intention to utilize the PDMP. Pharmacists with positive attitudes were almost twice as likely to have high intention (odds ratio [OR]=1.8, 95% confidence interval [CI]=1.2-2.8). SN was the strongest predictor of pharmacists' high intention (OR=2.2, 95% CI=1.4-3.3). Pharmacists with high PBC were also twice as likely to have high intention (OR=1.9, 95% CI=1.2-3.0). Additionally, pharmacists' PO contributed to the prediction of high intention (OR=1.8, 95% CI=1.0-3.1) above that explained by the TPB model constructs (X2=4.14, P<0.05). Conclusions: TPB with the addition of PO was useful in predicting pharmacists' high intention to utilize a PDMP database. Interventions that address pharmacists' A, SN, PBC, and PO may be valuable to increase pharmacists' high intention. Pharmacists' utilization of PDMPs may lead to a decrease in themorbidity and mortality associated with prescription drug abuse. Future studies that assess whetherintention to use PDMPs translates to actual usage are needed to strengthen these findings.
AB - Background: Prescription drug monitoring programs (PDMPs) are state-operated electronic databases that contain patients' controlled drug histories. Most states provide these data to pharmacists via online web portals to combat prescription drug abuse and diversion. Objectives: The objectives of this study were to: 1) explore the theory of planned behavior's (TPB) utility in predicting Texas pharmacists' intention to utilize an online accessible PDMP; 2) to determine the contribution of each construct, attitude (A), subjective norm (SN) and perceived behavioral control (PBC) in predicting pharmacists' intention; and 3) test whether the addition of perceived obligation (PO) is significantly related to pharmacists' intention. Methods: A cross-sectional, 36-item questionnaire was developed from focus groups and literature of pharmacists' views regarding prescription drug abuse. A total of 998 practicing Texas community pharmacists were surveyed to collect data on their intention to utilize a PDMP database. Descriptive statistics, multivariate and hierarchical logistic regression analyses were used to address the study objectives. Results: The response rate was 26.2% (261/998). TPB constructs were significant predictors of pharmacists' high intention to utilize the PDMP. Pharmacists with positive attitudes were almost twice as likely to have high intention (odds ratio [OR]=1.8, 95% confidence interval [CI]=1.2-2.8). SN was the strongest predictor of pharmacists' high intention (OR=2.2, 95% CI=1.4-3.3). Pharmacists with high PBC were also twice as likely to have high intention (OR=1.9, 95% CI=1.2-3.0). Additionally, pharmacists' PO contributed to the prediction of high intention (OR=1.8, 95% CI=1.0-3.1) above that explained by the TPB model constructs (X2=4.14, P<0.05). Conclusions: TPB with the addition of PO was useful in predicting pharmacists' high intention to utilize a PDMP database. Interventions that address pharmacists' A, SN, PBC, and PO may be valuable to increase pharmacists' high intention. Pharmacists' utilization of PDMPs may lead to a decrease in themorbidity and mortality associated with prescription drug abuse. Future studies that assess whetherintention to use PDMPs translates to actual usage are needed to strengthen these findings.
KW - Community pharmacists
KW - Diversion
KW - Intention
KW - Prescription drug monitoring program
KW - Theory of planned behavior
UR - http://www.scopus.com/inward/record.url?scp=84896714851&partnerID=8YFLogxK
U2 - 10.1016/j.sapharm.2013.05.009
DO - 10.1016/j.sapharm.2013.05.009
M3 - Article
C2 - 23816495
AN - SCOPUS:84896714851
VL - 10
SP - 285
EP - 296
JO - Research in Social and Administrative Pharmacy
JF - Research in Social and Administrative Pharmacy
SN - 1551-7411
IS - 2
ER -