Using the theory of planned behavior to examine pharmacists' intention to utilize a prescription drug monitoring program database

Marc Labaron Fleming, Jamie C. Barner, Carolyn M. Brown, Marvin D. Shepherd, Scott Strassels, Suzanne Novak

Research output: Contribution to journalArticle

36 Citations (Scopus)

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 languageEnglish
Pages (from-to)285-296
Number of pages12
JournalResearch in Social and Administrative Pharmacy
Volume10
Issue number2
DOIs
StatePublished - 1 Mar 2014

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Prescription Drugs
Drug Monitoring
Pharmacists
Databases
Monitoring
Prescription Drug Misuse
Odds Ratio
Confidence Intervals
Prescription Drug Diversion
Logistics
Statistics
Focus Groups

Keywords

  • Community pharmacists
  • Diversion
  • Intention
  • Prescription drug monitoring program
  • Theory of planned behavior

Cite this

Fleming, Marc Labaron ; Barner, Jamie C. ; Brown, Carolyn M. ; Shepherd, Marvin D. ; Strassels, Scott ; Novak, Suzanne. / Using the theory of planned behavior to examine pharmacists' intention to utilize a prescription drug monitoring program database. In: Research in Social and Administrative Pharmacy. 2014 ; Vol. 10, No. 2. pp. 285-296.
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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.",
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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 journalArticle

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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

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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.

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