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      Patient Preference and Adherence (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on the growing importance of patient preference and adherence throughout the therapeutic process. Sign up for email alerts here.

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      Primary nonadherence to chronic disease medications: a meta-analysis

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          Abstract

          Background

          Medication nonadherence is a global problem that requires urgent attention. Primary nonadherence occurs when a patient consults with a medical doctor, receives a referral for medical therapy but never fills the first dispensation for the prescription medication. Nonadherence to chronic disease medications costs the USA ~$290 billion (USD) every year in avoidable health care costs. In Canada, it is estimated that 5.4% of all hospitalizations are due to medication nonadherence.

          Objectives

          The objective of this study was to quantify the extent of primary nonadherence for four of the most common chronic disease medications. The second objective was to identify factors associated with primary nonadherence to chronic disease medications.

          Materials and methods

          We conducted an extensive systematic literature review of eight databases with a wide range of keywords. We identified relevant articles for primary nonadherence to antihypertensives, lipid-lowering agents, hypoglycemics, and antidepressants. After further screening and assessment of methodologic quality, relevant data were extracted and analyzed using a random-effects model.

          Results

          Twenty-four articles were included for our meta-analysis after full review and assessment for risk of bias. The pooled primary nonadherence rate for the four chronic disease medications was 14.6% (95% CI: 13.1%–16.2%). Primary medication nonadherence was higher for lipid-lowering medications among the four chronic disease medications assessed (20.8%; 95% CI: 16.0%–25.6%). The rates in North America (17.0%; 95% CI: 14.4%–19.5%) were twice those from Europe (8.5%; 95% CI: 7.1%–9.9%). The absence of social support (20%; 95% CI: 14.4%–26.6%) was the most common sociodemographic variable associated with chronic disease medication primary nonadherence.

          Conclusion

          Evidence suggests that a considerable percentage of patients do not initially fill their medications for treatable chronic diseases or conditions. This represents a major health care problem that can be successfully addressed. Efforts should be directed toward proper medication counseling, patient social support, and clinical follow-up, especially when the indications for the prescribed medication aim to provide primary prevention.

          Most cited references38

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          Social support and patient adherence to medical treatment: a meta-analysis.

          In a review of the literature from 1948 to 2001, 122 studies were found that correlated structural or functional social support with patient adherence to medical regimens. Meta-analyses establish significant average r-effect sizes between adherence and practical, emotional, and unidimensional social support; family cohesiveness and conflict; marital status; and living arrangement of adults. Substantive and methodological variables moderate these effects. Practical support bears the highest correlation with adherence. Adherence is 1.74 times higher in patients from cohesive families and 1.53 times lower in patients from families in conflict. Marital status and living with another person (for adults) increase adherence modestly. A research agenda is recommended to further examine mediators of the relationship between social support and health.
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            Primary medication non-adherence: analysis of 195,930 electronic prescriptions.

            Non-adherence to essential medications represents an important public health problem. Little is known about the frequency with which patients fail to fill prescriptions when new medications are started ("primary non-adherence") or predictors of failure to fill. Evaluate primary non-adherence in community-based practices and identify predictors of non-adherence. 75,589 patients treated by 1,217 prescribers in the first year of a community-based e-prescribing initiative. We compiled all e-prescriptions written over a 12-month period and used filled claims to identify filled prescriptions. We calculated primary adherence and non-adherence rates for all e-prescriptions and for new medication starts and compared the rates across patient and medication characteristics. Using multivariable regressions analyses, we examined which characteristics were associated with non-adherence. Primary medication non-adherence. Of 195,930 e-prescriptions, 151,837 (78%) were filled. Of 82,245 e-prescriptions for new medications, 58,984 (72%) were filled. Primary adherence rates were higher for prescriptions written by primary care specialists, especially pediatricians (84%). Patients aged 18 and younger filled prescriptions at the highest rate (87%). In multivariate analyses, medication class was the strongest predictor of adherence, and non-adherence was common for newly prescribed medications treating chronic conditions such as hypertension (28.4%), hyperlipidemia (28.2%), and diabetes (31.4%). Many e-prescriptions were not filled. Previous studies of medication non-adherence failed to capture these prescriptions. Efforts to increase primary adherence could dramatically improve the effectiveness of medication therapy. Interventions that target specific medication classes may be most effective.
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              Europe's strong primary care systems are linked to better population health but also to higher health spending.

              Strong primary care systems are often viewed as the bedrock of health care systems that provide high-quality care, but the evidence supporting this view is somewhat limited. We analyzed comparative primary care data collected in 2009-10 as part of a European Union-funded project, the Primary Health Care Activity Monitor for Europe. Our analysis showed that strong primary care was associated with better population health; lower rates of unnecessary hospitalizations; and relatively lower socioeconomic inequality, as measured by an indicator linking education levels to self-rated health. Overall health expenditures were higher in countries with stronger primary care structures, perhaps because maintaining strong primary care structures is costly and promotes developments such as decentralization of services delivery. Comprehensive primary care was also associated with slower growth in health care spending. More research is needed to explore these associations further, even as the evidence grows that strong primary care in Europe is conducive to reaching important health system goals.
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                Author and article information

                Journal
                Patient Prefer Adherence
                Patient Prefer Adherence
                Patient Preference and Adherence
                Patient preference and adherence
                Dove Medical Press
                1177-889X
                2018
                07 May 2018
                : 12
                : 721-731
                Affiliations
                [1 ]Alliance Health Medical Clinics, Moose Jaw, Regina and Saskatoon, Saskatchewan, Canada
                [2 ]School of Public Health, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
                Author notes
                Correspondence: Mark Lemstra, Alliance Health Medical Clinics, B70 500 – 1st Avenue NW, Moose Jaw, SK S6H 3M5, Canada, Email marklemstra@ 123456shaw.ca
                Article
                ppa-12-721
                10.2147/PPA.S161151
                5944464
                29765208
                e20f6f2e-f2f2-4922-8fe6-0ab5093872b6
                © 2018 Lemstra et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

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                Categories
                Review

                Medicine
                primary nonadherence,chronic disease medication,initial nonadherence,prescribed medications,predictors of primary nonadherence

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