Adults' Intention to Take an Arthritis Prescription Drug Based on Drug Advertisements

Direct-to-Consumer Prescription Advertising (DTCPA) has rapidly expanded, particularly via social media, but research on its influence on individual decisions regarding prescribed medications remains limited. This gap is notable among chronic disease patients, such as those with arthritis, which affected over 58.5 million U.S. adults as of 2015 and is projected to rise to 78.4 million by 2040 (Barbour et al., 2017; Hootman et al., 2016). Social media discussions show significant activity following television ads for arthritis drugs (Curtis et al., 2017). However, few studies explore how DTCPA impacts patient intentions to take advertised arthritis medications. This study employed a novel questionnaire based on the Integrated Behavior Model (Allem, 2021) to examine attitudes, perceived norms, and personal agency regarding arthritis drug advertisements. Using the Delphi Panel Method (Hasson et al., 2000) for validation, the tool included multiple-choice, Likert scale, and open-ended questions. A general population survey was conducted via social media platforms like Facebook™ and LinkedIn® to gather participant responses. Findings revealed statistically significant relationships between attitudes, perceived norms, and personal agency toward behavioral intent. Positive perceptions led to positive intent to take arthritis medications, while negative perceptions resulted in less intent, though not statistically significant. The survey tool demonstrated good reliability, with a Cronbach’s Alpha of α = .839 (George & Mallery, 2003). This practical and adaptable tool highlighted the need for more patient-centered approaches to DTCPA, especially as arthritis diagnoses and advertising budgets continue to rise, influencing consumer behavior and public health strategies.

Publication Details

Journal
Seton Hall University eRepository (Seton Hall University)
Published
2025-05-15
Primary Topic
Pharmaceutical industry and healthcare
Type
article
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article

Adults' Intention to Take an Arthritis Prescription Drug Based on Drug Advertisements

Seton Hall University eRepository (Seton Hall University)
Pharmaceutical industry and healthcare
article

Adults' Intention to Take an Arthritis Prescription Drug Based on Drug Advertisements

article en

Abstract

Direct-to-Consumer Prescription Advertising (DTCPA) has rapidly expanded, particularly via social media, but research on its influence on individual decisions regarding prescribed medications remains limited. This gap is notable among chronic disease patients, such as those with arthritis, which affected over 58.5 million U.S. adults as of 2015 and is projected to rise to 78.4 million by 2040 (Barbour et al., 2017; Hootman et al., 2016). Social media discussions show significant activity following television ads for arthritis drugs (Curtis et al., 2017). However, few studies explore how DTCPA impacts patient intentions to take advertised arthritis medications. This study employed a novel questionnaire based on the Integrated Behavior Model (Allem, 2021) to examine attitudes, perceived norms, and personal agency regarding arthritis drug advertisements. Using the Delphi Panel Method (Hasson et al., 2000) for validation, the tool included multiple-choice, Likert scale, and open-ended questions. A general population survey was conducted via social media platforms like Facebook™ and LinkedIn® to gather participant responses. Findings revealed statistically significant relationships between attitudes, perceived norms, and personal agency toward behavioral intent. Positive perceptions led to positive intent to take arthritis medications, while negative perceptions resulted in less intent, though not statistically significant. The survey tool demonstrated good reliability, with a Cronbach’s Alpha of α = .839 (George & Mallery, 2003). This practical and adaptable tool highlighted the need for more patient-centered approaches to DTCPA, especially as arthritis diagnoses and advertising budgets continue to rise, influencing consumer behavior and public health strategies.

Seton Hall University eRepository (Seton Hall University)
Openalex Percentile: Top 35%
Pharmaceutical industry and healthcare
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