2014
DOI: 10.1111/jan.12361
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Factors associated with gender differences in medication adherence: a longitudinal study

Abstract: Factors associated with adherence to antihypertensive medication were relatively gender-specific. Awareness of the differences is crucial for health professionals to provide appropriate advice for patients to cope effectively with their health threat.

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Cited by 72 publications
(80 citation statements)
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“…To date, only 1 predictive model, called the Prescription Medication Adherence Prediction Tool for Diabetes Medications (RxAPT‐D), which predicts nonadherence to oral antidiabetic drugs using Medicare claims data, has been developed by Mhatre and colleagues . Their model focused only on antidiabetic drugs and did not have gender as a significant predictor, which is a limitation because gender has been identified as a strong predictor of nonadherence in several studies . As opposed to this model, our model may be more applicable to patients with chronic pain who are likely to be multimorbid and face higher risk for nonadherence …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…To date, only 1 predictive model, called the Prescription Medication Adherence Prediction Tool for Diabetes Medications (RxAPT‐D), which predicts nonadherence to oral antidiabetic drugs using Medicare claims data, has been developed by Mhatre and colleagues . Their model focused only on antidiabetic drugs and did not have gender as a significant predictor, which is a limitation because gender has been identified as a strong predictor of nonadherence in several studies . As opposed to this model, our model may be more applicable to patients with chronic pain who are likely to be multimorbid and face higher risk for nonadherence …”
Section: Discussionmentioning
confidence: 99%
“…17 Their model focused only on antidiabetic drugs and did not have gender as a significant predictor, which is a limitation because gender has been identified as a strong predictor of nonadherence in several studies. [33][34][35] As opposed to this model, our model may be more applicable to patients with chronic pain who are likely to be multimorbid and face higher risk for nonadherence. 36 The results of the Rx-NAPT performance statistics should be interpreted with caution because the values will vary based on the cutoff point chosen.…”
Section: Discussionmentioning
confidence: 99%
“…Factors such as higher medication use including non-prescribed and self-medication, comorbidities and age differences in female patient population (Bren, 2005; Regitz-Zagrosek, 2014) are aspects that may influence the pharmacotherapy outcome and make covariate sex clinically significant. Other aspects related to patient behavior such as lesser access to healthcare and lack of adherence in female patients (Chen et al, 2014; Franconi and Campesi, 2014b; Manteuffel et al, 2014) may also lead to unexpected differential outcomes between male and female patients.…”
Section: Role Of Sex In Future Drug Development Clinical Researchmentioning
confidence: 99%
“…However, the authors remarked that “most available evidence was compromised by methodological limitations” precluding any deep inquiry about the impact of sex differences on efficacy and toxicity. Further cumulative evidence has matured in various fields (Klein et al, 2015) including neurosciences (Cahill, 2006, 2017), neurodegenerative diseases (Bove and Chitnis, 2013; Canevelli et al, 2017), medication use and treatment adherence (Chen et al, 2014; Manteuffel et al, 2014), incidence of DDI (Bowlin et al, 2013) as well as clinical and preclinical research (Franconi and Campesi, 2014a,b; Mazure, 2016; Segarra et al, 2016). This evidence has pushed forward more clearly the need to address potential sex-based differential clinical effects on male and female patients with the inclusion of covariate sex in the outcome analysis for the benefit of patients (Segarra et al, 2016; Cahill, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…These studies have shown relationships between illness perception and illness outcomes, such as quality of life, self‐care behaviour, and illness‐specific indicators (e.g., physical function and pain). In hypertension studies, illness perception has been shown to be associated with adherence to medication and self‐care activities (Chen, Lee, Liang, & Liao, ; Chen, Tsai, & Lee, ; Pickett, Allen, Franklin, & Peters, ). Illness perception also was found to be associated with medication adherence in a sample of adults who live in Taiwan (Chen et al., ).…”
Section: Introductionmentioning
confidence: 99%