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. Author manuscript; available in PMC: 2019 Jul 1.
Published in final edited form as: Res Social Adm Pharm. 2017 Aug 4;14(7):619–627. doi: 10.1016/j.sapharm.2017.08.001

Influencers of Generic Drug Utilization: A Systematic Review

Jennifer N Howard 1, Ilene Harris 1, Gavriella Frank 1, Zippora Kiptanui 1, Jingjing Qian 2, Richard Hansen 2
PMCID: PMC5910277  NIHMSID: NIHMS950992  PMID: 28814375

Abstract

Introduction

With an increase in prescription drug spending and rising drug costs there is a need to encourage the use of generic prescription drugs. However, maximizing generic drug use is not possible without the public’s positive perception and meeting their informational needs about generic drugs. Thus, improving the public’s confidence in, and knowledge of generic drugs on the market is critical. The objective of this systematic review is to examine and evaluate the studies focusing on the nature and extent of key factors influencing generic drug use in the United States in order to help guide policy, education and practice interventions.

Materials and methods

Using multiple search engines and key word screening criteria, empirical studies published in English between January 1, 2005 and December 31, 2015 were identified. A qualitative synthesis of the evidence identified domains of key factors that influenced generic drug use across studies.

Results

Over 3,000 citations met the key word screening criteria; 67 of these met inclusion criteria for the systematic review. Seven domains of factors that influence generic drug utilization were identified: 1) patient-related factors, 2) formulary management or cost containment, 3) healthcare policies, 4) promotional activities, 5) educational initiatives, 6) technology, and 7) physician-related factors.

Conclusion

Patients, physicians, pharmacists, formulary managers, and policymakers play an important role in generic drug use. Understanding the factors influencing generic drug use can help guide future policy, education, and practice interventions to increase generic drug use.

Keywords/Phrases: Drugs, generic, patient perception, health policy, drug substitution, health personnel attitudes

Introduction

On July 9, 2012, Generic Drug User Fee Amendments of 2012 (GDUFA) (Public Law 112–144, Title III) were enacted to provide timely access to safe, high-quality, and affordable generic drugs.1 Generic drug policies such as GDUFA can make a significant contribution to increasing the availability of affordable prescription drugs. However, maximizing the use of generic drugs is not possible without the public’s positive perception and meeting their informational needs about generic drugs.

Generic drugs in the United States accounted for 89 percent of total prescription drugs filled, yet only 27 percent of total prescription costs in 2016.2 At the national policy level, generic substitution is recognized as an important and effective tool to control rising prescription drug costs. In the past 10 years, the rate of increase in drug spending has declined, with generic drug use contributing to the declining rate of drug spending.3 Generic drugs have played a key role in further slowing U.S. health care spending, by reducing Medicare spending by $67.6 billion and Medicaid spending by $32.7 billion in 2015.2

While the important role generic drugs play in cost containment and patient outcomes is known and that there are multiple factors that may influence generic drug use, no prior work has systematically assessed the key influencers of generic drug substitutability. The objective of this systematic review was to examine and evaluate the studies focusing on the nature and extent of key factors influencing generic drug use in the United States. Understanding these factors can help to guide policy, education and practice interventions.

Material and Methods

Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines4, 5 were used to guide the systematic review. Using multiple search engines, empirical studies published in English between January 1, 2005 and December 31, 2015 were identified. The search engines PubMed, Web of Science, OVID-Medline, Google Scholar, EBSCO-International Pharmaceutical Abstracts (IPA) and EBSCO-Medline were utilized to identify relevant studies (Table 1). A search strategy was finalized for each search engine before conducting the search between February and April, 2016.

Table 1.

General MeSH® Search Terms

Search Domain Search Engine
PubMed Web of Science OVID-Medline Google Scholar EBSCO- IPA & Medline
Generic Generic Drugs Drug Industry, Drug Manufacturer
Drug, Generic, Nonproprietary
Drug, Generic Generic drug Generic, Nonproprietary
Policy Policy/policy makers Health maintenance organization, Medicare part D
Policy, Health policy
Health Policy
Health Maintenance organizations, Medicare Part D
Health policy
Education Professional Education Education, Patient, Patient handout,
Graduate education, Continuing education, Nursing education
Education, Graduate education, Nursing education
Health education, Patient education handout
Professional education
Utilization Drug utilization Drug utilization Drug utilization Generic drug utilization Generic utilization
Health Behavior/Attitude Health Behavior Health behavior, Health knowledge, Health attitudes Health knowledge, attitudes, practice Health behavior
Influence, Impact, Attitude, Perception
Formularies Formularies Formularies, Hospital formularies, Pharmacopoeias Formularies
Health Benefits Health Benefit Plans Employee health benefit plan Health benefit plans, Employee/health
Manufacturers Manufacturers
Influence Influence concept Influence, Affect, Effect Influence Influence, Affect, Effect

MeSH® (Medical Subject Headings) is a set of terms naming descriptors in a hierarchical structure that enables searching at various levels of specificity.

IPA: International Pharmaceutical Abstracts

Search terms and parameters were adjusted for each database while maintaining a common overall framework. Due to the differences in output styles, search results from each database were handled separately. The abstracts of the articles identified through search terms were imported using EndNote® reference management software. The abstracts were then screened for duplicates.

Study Selection

The abstracts of the articles that were identified using key words listed were assessed independently by two reviewers. Any disagreements were resolved by discussion among reviewers and input from a third reviewer. Abstracts that were duplicates, not written in English, published prior to 2005, not empirical, or were not policy or methodologically relevant to generic drug use or influence were excluded. If the title and abstract provided insufficient information to assess the inclusion criteria, a full text review was conducted.

Three hundred and seven articles were selected for full text review based on the title and abstract review. Articles were further excluded if not focused on US policy, if not methodologically (i.e., empirical and original research) or otherwise topic relevant, or risk of bias was present. Risk of bias was primarily assessed through the utilization of assessment criteria of what was reported against what was conducted in each of the studies. Each aspect of each study’s methods was assessed as either done well, or done poorly, and if they were fully reported, ambiguously or incompletely reported, or not reported. The information reported in the methods was then compared to what was reported in the results and discussion sections of each study. Studies that the review team deemed as “biased” due to study design or reporting of findings were excluded from the systematic review to reduce bias across studies. For example, we excluded studies if the methods and findings were inconsistent and thus may have introduced bias.

Data Collection

The research team then independently abstracted data from the selected studies. The abstracted data included study objective(s), design, population studied, data source(s), exposure, outcomes, and study results. Studies were also reviewed for presence of any bias. These data were collected in an extraction sheet developed by the review team, comprised of abstract review determinations, and data abstracted from full study reviews. Disagreements regarding inclusion or exclusion criteria or data abstraction were resolved by discussion with all team members until consensus was reached.

Data Analysis

A qualitative synthesis of the evidence identified domains of key factors that influenced generic drug use across studies. The factors identified were grouped by “domain” to allow for broad discussion of factors.

Results

The systematic search of the literature identified 3,263 articles meeting the key word screening criteria. After removing duplicates, 1501 articles remained. After two reviewers reviewed the abstracts using the methodology described above, there were 307 articles meeting the inclusion criteria for in-depth review. The full-text review of the 307 articles resulted in excluding 239 articles, therefore leaving 67 articles included in the systematic review. Articles were excluded due to publication type (65)1, country of policy of focus (106)2, study methods (6)3, topic relevancy (62)4, and publication date (2)5. All five articles removed due to “study methods” were systematic or literature reviews, therefore making them secondary sources. All articles included in the systematic review were empirical studies that included original research. The information reported in the methods of the remaining articles was then compared to what was reported in the results and discussion sections of each study for possible further exclusion. No additional articles were excluded due to a biased study design or reporting of findings. Figure 1 provides a summary of the findings after applying the inclusion/exclusion criteria to both the abstracts and full-text articles.

Figure 1.

Figure 1

Literature Retrieval Flowchart

Factors discussed in the 67 articles included in the systematic review are presented below by domain and include the following domains: patient-related; formulary management and cost containment; Medicare and Medicaid policies; promotional activities; educational initiatives; technological; and physician-related. The results are presented in descending order by the number of articles discussing factors associated with each domain and does not represent the relative impact of each domain.

Patient-Related Factors

Of the 67 articles included in the systematic review, 21 indicated that patient-related factors influence generic drug use. These studies show that sociodemographic factors (e.g., race, sex, age, and income), health status, insurance type or coverage, patient knowledge, prior experience with generics, or communication with their physician are consumer-driven influencers of generic drug use. More specifically, Caucasian patients were less likely than African American patients to utilize generic antidepressant drugs and use a higher share of older drugs.6 Another study found that African Americans and Asian/Pacific Islanders were more likely to rate generics as of greater value when compared to Caucasians.7 However, as suggested in several studies, non-Caucasian patients were more likely than Caucasian patients to have negative beliefs in the equivalence and effectiveness of generics.810 Several studies suggest that these differences in generic drug utilization by race and ethnicity may be influenced by other factors such as insurance coverage or other patient-related factors.6, 1012

Income was another patient-related factor that influences generic drug use. Patients with high annual incomes, above $100,000, were more likely to take a generic alternative when compared to patients with incomes below $30,000.7 Additionally, Yun et al. 13 found that Medicare beneficiaries living in high income areas (annual income ≥ $75,000), who were receiving a low-income subsidy were less likely to switch from branded Fosamax® plus vitamin D to a generic alternative. Another study found that patients earning between $20,000 and $30,000 were more likely to use a generic drug discount programs when compared to patients with incomes of or below $10,000.14

Many of the studies in the systematic review covered additional patient factors such as healthcare coverage, the number of prescription medications, patient knowledge, patient drug history, and patient/physician communication. Patients without health insurance were shown to be more likely to utilize generic drugs or generic drug discount programs.15 One study found that uninsured patients were more likely than privately insured patients to have a generic drug dispensed.16 Additionally, patients with more filled prescriptions were more likely to use generic drug discount programs.17 Li and colleagues18 suggest that a lack of patient knowledge may explain a decrease in brand-name prescriptions that was not offset by an increase in generic prescriptions among Medicare beneficiaries. Shrank and colleagues19 found that patients who were initially prescribed a generic drug were less likely to switch to a drug from another tier when compared to patients initially prescribed a non-preferred medication. Communication was also shown to be a key factor, with a lack of communication between patients and healthcare providers contributing negatively to views and utilization of generic drugs. 9, 20 In addition, Shrank et al., 21 show that patients who communicated with their physician about generic drug use were more likely to fill a generic medication than patients who did not communicate.

While several articles suggested that individuals with lower income, or whom are Caucasian, male, or younger are less likely to use a generic drug, there were several studies where these results were not consistent. For example, a study conducted by Hulbert et al. 27 showed that those with an annual income below $30,000 had more positive beliefs in the effectiveness of generic drugs compared to those with annual incomes above $30,000. Likewise, Gagne et al., 22 Keenum et al.,23 Mager et al.,24 Shrank et al.,7, 25 and Zhang et al.26 show that there may be variation in the relationship between patients’ age and sex and their generic drug use and perceptions.

Formulary Management and Cost Control Factors

Fourteen articles described formulary management and cost control factors that influence generic drug use. The majority of these articles examined the effects generic drug costs, copayments, and shifts in formularies have on overall generic drug use. An increase in drug costs and shift to more costly 3-tier formularies from 2-tier or other formulary designs results in a decline in brand drug utilization and increase in generic drug use.27 Likewise, as consumer out-of-pocket costs for brand-name drugs increase, so does generic drug use.28

More specifically, studies point to the influence drug copays have on generic drug use, with generic drug use increasing as generic drug copayments decrease,25, 27, 29 or brand copays increase.30, 31 However, Sen et al., 32 observed that although copays were higher for brand-name drugs, the switch to generic drugs among CHIP enrollees was unclear. Additionally, Rodin et al., 33 found that lowering generic drug copays and raising brand-name drug copays did not lead to a complete shift to generic drugs among patients with particular conditions.

Generic drug use was also shown to decrease with an increase in copayments for drug equivalents.34 Other studies found these results to vary, with one study showing that high deductible health plans do not significantly increase generic drug use, except in the case of antidepressants.35 Additionally Tang et al.36 found that enrollees in plans with higher average generic cost-sharing strategies were less likely to use generic alternatives to antidepressants, antidiabetics, and statins compared to those in plans with lower cost-sharing strategies. Similar cost-sharing strategy might influence generic drug use differently by health plans, for example, the formularies of Health Maintenance Organization (HMO) plans were shown to have a greater impact on plan enrollees’ generic drug substitution habits than the habits of self-insured enrollees.37 Another type of health plan, a Consumer-Driven Health Plan (CDHP), with a three-tier pharmacy benefit design showed a reduction in generic drug use.38 Lastly, a study conducted by Dai and colleagues 39 found that overall, plan bids (i.e., expected costs of providing benefits to the typical beneficiary) were lower when enrollee cost sharing was higher, which may reflect the likely use for brand name drugs in plans with lower bids. The authors concluded that insurers expect that by increasing the cost sharing amount for brand drugs, enrollees would be more likely to use generic drugs.

Medicare, Medicaid, and State-specific Generic Drug Substitution Policies

Results show that the policy influencers on drug use are multifaceted and range from Medicare Part D and Medicaid coverage to state-specific generic drug substitution policies. Ten articles examined the specific role of the Medicare Part D coverage gap on generic drug use, the role Medicare Part D has on state Medicaid programs, and the impact of policies reducing Medicaid reimbursement rates. Results from the systematic review show that Medicare beneficiaries are more inclined to utilize generic drugs while in the Medicare Part D coverage gap.4042 However, the Part D coverage gap is also associated with fewer monthly prescriptions and a higher likelihood of non-adherence for specific drugs among patients with no coverage gap or generic only coverage.18 Additionally, Goedken et al., 43 found that generic drug use was higher among beneficiaries with Part D coverage than Medicare beneficiaries with employer-sponsored drug coverage, and that generic drug use among Part D beneficiaries did not significantly differ from Medicare beneficiaries with no drug coverage. Zhang et al., 44 found that generic drug use was overall lower for Part D enrollees than for comparable non-enrollees. However, this association depended on the particular drug. For example, Part D enrollees had higher generic use of benzodiazepines and ace inhibitors compared to non-enrollees.

More recent efforts to encourage generic drug use among Medicaid beneficiaries have had a modest positive impact on generic drug use.45 Other Medicaid efforts including lower cost sharing for generics, mandatory generic substitution, step therapy, preferred drug lists, and brand dispensing limits without approval from the Medicaid agency have also been shown to have impact on generic drug use.46 More specifically, Shrank et al., 47 found that state Medicaid programs could reduce costs if all states adapted generic substitution policies that do not require patient consent. Alpert et al.48 found that a Medicaid policy instituted in 2000, which reduced reimbursement rates to pharmacies for select generic drug products, did not lead to an increase in pharmacy purchasing cheaper generic drug alternatives over more expensive equivalent drug products.

Promotional Activities

Eleven articles examined the influence of promotional activities on generic drug use. Many of these articles focused on the use of samples provided by pharmaceutical companies as marketing strategies for brand and higher cost drugs. These studies show that these promotional activities are effective in increasing brand and higher cost drug use and decreasing generic drug use by influencing physician prescribing patterns. 15,4953 In addition, one study found that interactions between pharmaceutical companies and physicians increased the likelihood of brand name drug prescribing rates. 54 Contrary to the focus of the influence promotional activities have on brand drug prescribing, one study examined the ease of accessibility to generic drugs in a kiosk and the positive influence it had in generic antibiotic rates and costs.55 Another study that examined the influence of specific interventions on generic drug use showed that the imagery and narration styles of advertising materials did not appear to influence patients’ perceived “informativeness”, intent to seek information on generic drugs, their intent to switch to a generic drug.56 Additionally, generic drug advertising campaigns did not appear to have an overall influence on generic drug use.57 However, a 2013 study by Nemlekar et al., 58 found that incentive programs such as prescription drug coupons and vouchers encouraged non-preferred brand name drug use over preferred brand name drug use. Similarly, this study also found that patients are more likely to shift from generic to brand name drugs when they receive copay subsidy coupons.

Educational Initiatives

Four articles focused on the role of educational initiatives on generic drug use. These articles show that educational activities related to evidence-based information on generic drugs as part of medical training, educational meetings, and systems supports for healthcare professionals positively influences generic drug use.50,59,60 Educational initiatives targeted at patients also appear to have a positive influence on generic drug use, with studies showing that educational initiatives and outreach encourage patients to switch from brand name drugs to generic and develop less favorable attitudes towards brand name drug manufacturers.61

Technology

Results from 6 of the studies reviewed show that technology plays a role in generic drug use. Two studies reviewed show that e-prescribing increased the likelihood of generic drug prescribing.62,63 However, one study found that generic drug prescribing patterns were similar between e-prescribers and traditional prescribers, with both groups appearing to have high levels of formulary compliance.64 Scott et al. 65 found that physician practices participating in an automated generic drug sampling program through a generic drug vendor saw an increase in the average generic drug rate. Additionally, Dobscha et al. 59 found that system supports, such as revised electronic order menus which identified the new preferred agent, positively contributed to generic drug use. One study found that Wikipedia is the top internet information source for those searching for information related to generic drugs and it often has inaccurate information on generic medications which may mislead patients’ understanding of generic drugs.66

Physician-Related Factors

In addition to the 6 domains identified in this review, there were several factors that did not fit into any of the identified domains that had an influence on generic drug use. Specialists were shown to be more likely than general practitioners to prescribe brand name or higher cost drugs.67 Other studies examined show that the prescribing patterns of attending physicians influenced the prescribing patterns of resident physicians.68 Similarly, the resident’s experience level appears to influence generic drug use, with new residents more likely to use generic names compared to those more experienced residents.69 Location of residency plays a role in generic drug use, suggesting that practice culture impacts a residents’ prescribing patterns. 68 In addition, physicians belonging to an HMO are no more likely to prescribe generic drugs when compared to doctors belonging to other insurance models.70 Physician influence was identified as a factor of generic drug dispensing among pharmacists; Devine et al., 71 found that having a clinical pharmacist employed in physician group practice increased the dispensing of generic drugs. Shrank et al.72 found that the age of physicians also influences generic drug use, with older physicians less likely than younger physicians to take generic drugs themselves or recommend or prescribe generic drugs due to unfavorable perceptions of generic drugs. One study found that a lack of generic versions of a particular brand-name drug exists and negatively affects generic drug use.18 Table 2 summarizes the findings across the seven domains.

Table 2.

Factors Associated with Generic Drug Use

Area Factors Influencing Generic Drug Use Example
Patient-Related
  • Race/Ethnicity

  • Sex

  • Age

  • Income

  • Health status

  • Insurance type or coverage

  • Prior experience with generic drug use

  • Whites less likely than Blacks or Hispanics to utilize generic drugs

  • Women more likely to use generic drugs than men

  • Older patients have higher generic drugs use compared to younger patients

  • Higher income [> 100,000] associated with greater generic drugs use

  • Patients with greater burden of comorbidity have greater generic drugs initiation

  • Uninsured patients more likely to use generic drugs

  • Patients with prior use of any generic are more likely to use generic drugs

Formulary Management and Cost Controls
  • Effects of generic drug costs

  • Copayments

  • Shift in formularies

  • As drug costs increase generic drugs use increases

  • Increase in brand-name copays = increase in generic filled prescriptions

  • Shift to more costly 3-tier formularies from 2-tier or other formularies leads to a decrease in brand drug use & an increase generic drugs use

Medicare, Medicaid, and State-specific Generic Drug Substitution Policies
  • Medicare Part D coverage gap

  • Medicaid coverage

  • State-specific generic drug substitution policies

  • Medicare beneficiaries are more likely to use generic drugs while in the coverage gap

  • Preferred drug lists for Medicaid beneficiaries leads to increase in generic drugs use

    Laws that require consent prior to generic substitution reduce the use of generics

Promotional Activities
  • Use of sample drugs provided by pharmaceutical companies as marketing strategies for brand and higher cost drugs

  • Interactions between pharmaceutical companies and physicians

  • Generic drug kiosks

  • Drug advertising

  • Greater brand-name drug samples = greater brand-name drug use & lower generic drug use

  • More interactions between pharmaceutical companies and physicians increases the likelihood of prescribing brand-name drugs

  • Generic drug kiosk increases the influence on accessibility and generic antibiotic use rate

  • Imagery and narration styles of advertising materials did not appear to influence patients’ perceived “informativeness,” intent to seek information on generic drugs, or their intent to switch to a generic

Educational Initiatives
  • Educational activities related to evidence-based information on generic drugs as part of medical training

  • Educational meetings

  • Trainings lead to increase of generic drugs use

  • Positive effect on patients view of generics

Technology
  • E-prescribing

  • Internet searches for generic medications

  • Automated generic drug sampling through a generic drug vendor

  • Systems supports for healthcare professionals

  • E-prescribing led to greater generic drug prescribing patterns

  • Top internet search, Wikipedia; providing consumers with poor information on generics

  • Automated generic drug sampling increased generic drug use

  • Electronic order menus lead to an increase in generic prescribing among VA physicians

Physician-Related Factors
  • Physician specialty

  • Age of physician

  • Resident’s experience level

  • Location of the residency and clinical practice culture

  • Specialists have higher likelihood of prescribing brand-name drugs

  • Greater the age of physician the less likely to take generics or recommend them

  • Newer the resident the more likely to use generics

  • Large influence on physician’s prescribing patterns

Discussion

Although generic drug use has increased over the past decade, their use varies across drug classes and categories. For example, generics have been widely used among some therapeutic classes such as antihypertensives,73 antidepressants,74, 75 antidiabetics, statins, and antibiotics,76 while generics are not widely used among sterile injectables,77 specialty drugs,78 atypical antipsychotics,79 and drugs with a narrow therapeutic index (NTI) such as antiepileptics, thyroid drugs, and immunosuppressant drugs.80 Additionally, generic drug use varies across different populations affected by prescription formularies and policies. Among Medicare beneficiaries, generic drug use, and the savings realized, also varies across therapeutic classes. One study found that when compared to patients with diabetes whose healthcare coverage is provided through the U.S. Department of Veterans Affairs (VA), Medicare beneficiaries with diabetes were more than twice as likely to use brand-name drugs; if Medicare beneficiaries were to utilize generic drugs at the same rates as VA patients, then Medicare could save more than $1 billion per year.81

Generic drug use may be greatly affected by some key groups’ behaviors and perceptions toward generic drugs. There is debate within the healthcare community regarding the appropriateness of generic drug substitution. Some drug safety experts have argued that the FDA’s bioequivalence standards are inadequate, especially for drugs with an NTI. For example, small pharmacokinetic parameter differences between generic and brand carbamazepine products may lead to differences in seizure control or adverse effects in patients with epilepsy.82 Generic antidepressants offer significant cost savings compared with brand-name antidepressants, but critics of managed care interventions promoting generic medication use suggest that some generic antidepressants are not as safe or effective as the brand alternatives and generic substitution could lead to reduced medication adherence or early treatment discontinuation.8385

In addition to healthcare professionals’ concerns and perceptions regarding the safety of generic drugs, generic drug use may be influenced by patients’ perceptions. While many patients have reported taking a generic drug, many perceive generic drugs as less effective or safe than brand name equivalents.86, 87 Patients’ perceptions about generic drugs may ultimately influence prescribing and dispensing patterns. According to results from a national survey of U.S. physicians with a variety of specialties, more than one-third of respondents indicated that, when requested by patients, they often or sometimes prescribed brand-name drugs when appropriate generic substitutes were available.88 Additionally, a 2016 study suggests that while the majority of patients have positive perceptions of generic drugs, lingering negative perceptions among some may still exist, with these patients believing physicians should prescribe brand-name drugs when generic drug alternatives are available or asking that their physician prescribe a brand-name drug over a generic alternative.89

Physician and patient behaviors and perceptions may also impact the effectiveness of generic drug substitution policies. Once the FDA approves a generic drug, prescribers and pharmacists may substitute the generic for its brand-name equivalent, according to state laws and regulations. Generic substitution, however, can be bypassed by active interventions of patients or physicians. Some states, for example, require a patient’s consent prior to a generic substitution by a pharmacist. In addition, physicians can write prescriptions for brand-name drugs that are specifically marked “dispense as written”. Physicians and patients may direct pharmacists to dispense as written,90 or specifically request that pharmacists not fill with a generic equivalent,89 and these actions contribute to an estimated $1.2 billion in additional drug costs annually in the U.S.91

Through a systematic review of the literature, seven key domains of factors that influence generic drug use were identified. Patient-related factors, including insurance coverage type, patient demographics, patients’ prior experience with generic drugs, and patients’ communication with healthcare providers regarding generic drugs were the most frequently discussed in the literature, suggesting that patient-related factors play a crucial role in generic drug use. Patients with lower incomes, Caucasian, male, young, or who are otherwise healthy are less likely than their counterparts to utilize generic drugs and may need additional or more targeted educational materials and information from healthcare professionals in order to increase generic drug utilization. A targeted approach may not only have a high impact on those groups identified as resistant to generic drug use, but targeted educational materials are also likely to encourage healthcare providers to communicate in a more effective and efficient manner with patients regarding generic drug use.

Formulary management or cost containment measures were shown to have the intended effect of increasing generic drug use. Many of the articles reviewed focusing on formulary management or cost containment examined the impact of cost for generics, copayments, and shift in formularies on overall generic drug use. Articles examining these various factors and outcomes were consistent in their conclusions that formulary management or cost containment measures positively influence generic drug use. More specifically, an adjustment in cost sharing mechanisms influences drug use, with decreased generic drug copayments increasing generic drug use, shifts away from two-tier or other formularies to more costly 3-tier formularies decreasing brand drug use, and Medicare Part D enrollees in plans requiring prior authorization with a greater likelihood of using generic antidepressants, antidiabetics, and statins than their counterparts in plans without a prior authorization requirement.

Like formulary management or cost containment, federal and state health insurance policies were shown to be a major factor influencing broad changes in generic drug use by encouraging generic drug use in the Medicare and Medicaid programs. Specifically, Medicare beneficiaries are more inclined to utilize generic drugs while in the Medicare Part D coverage gap when much of the cost for drug-related expenses are out-of-pocket. Results also show that many of the recent Medicaid policy changes intended to encourage generic drug use have been successful. It may also be inferred that generic substitution laws may lower drug expenditures under Medicaid. These results show that many recent policy changes have been effective in altering generic drug use patterns broadly across Medicare and Medicaid populations, but also suggest much can be learned from each of these policies.

Promotional activities by pharmaceutical companies have been shown to increase brand name drug use. Studies included in this systematic review that examined the impact of promoting generic drugs in healthcare settings showed that those activities were effective in increasing generic drug use as well.

Other ways in which generic drug use was impacted was through educational initiatives, technological advances, and physician characteristics. Evidence suggests that educational initiatives related to generic drugs should be focused on men, individuals with lower socio-economic status, and individuals belonging to a minority group. These groups were seen as less likely to take generics or have negative impressions of generic drugs and may benefit from targeted outreach. Targeted outreach or additional training may also benefit younger physicians, as they may be greatly influenced in their prescribing patterns by their use of technology (e-prescribing) and their training (attendee physicians prescribing patterns).

Limitations

This review has several limitations. The large number of publications in this review created a challenge in isolating factors in which to categorize the exposure in each of the studies or the relative effect of the exposure on generic drug use. It also proved challenging to summarize results in instances in which outcomes examined and results found varied or were multifaceted. The large number of published studies examining generic drug utilization patterns and influencers is not surprising due to the major shifts in the approval and manufacturing of generic drugs in recent years and greater awareness of cost savings associated with generic drugs. Finally, this review was unable to more closely examine possible differences between factors affecting generic drug use and generic drug discount program use or the impact of recent policy changes resulting from the Affordable Care Act (ACA) and Medicare policy shifts on generic drug use since most of the articles reviewed predated the ACA.

Strengths

One major strength is this review’s focus on the multiple factors and ways these factors influence generic drug use in the United States. While numerous international studies were identified examining this topic, empirical studies focusing on a comprehensive review of unique factors that influence generic drug use in the United States were scarce. This systematic review fills this gap in the literature. Another strength is the use of the PRISMA guidelines for the review process. A thorough and systematic search of multiple search engines was conducted and data abstraction was performed by multiple reviewers, with questions and concerns discussed until consensus was reached.

Conclusion

The intent of this systematic review was to contribute to a better understanding of the nature and extent of key factors that influence generic drug use in order to allow researchers and policymakers to best focus future research, educational and policy endeavors encouraging increased generic drug use. While results varied across the 67 peer-reviewed articles reviewed, the majority of the articles focused on 2 of 6 domains influencing generic drug use: patient-related and formulary management or cost containment. However, while a broad range of factors were discussed in the literature, the level of influence these factors have may have changed in light of recent policy shift. Future research should more closely examine the differences between generic drug use and generic drug discount program use as well as examine the effects of recent policy changes, such as the ACA and GDUFA, have had on generic drug use. Results from this and future research may be useful in the development of targeted outreach materials for each of the groups influencing generic drug use as well as other policy or programmatic initiatives intended to encourage generic drug use.

Acknowledgments

The authors want to thank and acknowledge Adelia Grabowsky, MLIS of Auburn University for her time and expertise in selecting search terms included in this report and assisting in the development of the search strategy used in this systematic review.

Funding

This work was supported by the United States Food and Drug Administration [grant number U01D005486]. Views expressed in written materials or publications and by speakers do not necessarily reflect the official policies of the Department of Health and Human Services; nor does any mention of trade names, commercial practices, or organization imply endorsement by the United States Government.

Abbreviations

ACA

Affordable Care Act

CDHP

Consumer-Driven Health Plan

CHIP

Children’s Health Insurance Program

FDA

U.S. Food and Drug Administration

GDUFA

Generic Drug User Fee Amendments

HMO

Health Maintenance Organization

IPA

International Pharmaceutical Abstracts

NTI

Narrow Therapeutic Index

MeSH®

Medical Subject Headings

PRISMA

Preferred Reporting Items for Systematic Reviews and Meta-Analysis

VA

Veterans Affairs

Footnotes

1

Non-empirical studies, such as policy briefs and white papers, were excluded.

2

Studies not focusing on U.S. policy were excluded.

3

Studies with questionable methods, methods not based on original research, or biased methods were excluded.

4

Studies that did not focus on generic drug use were excluded.

5

Studies published prior to 2005 were excluded.

Reference List

  • 1.US Department of Health and Human Services. [Accessed 17.05.09];Guidance for Industry: ANDA Submissions - Amendments and Easily Correctable Deficiencies under GDUFA. 2014 https://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM404440.pdf.
  • 2.Association for Accessible Medicines. [Accessed 17.05.08];Generic drugs continue to deliver billions in savings to the U.S. healthcare system, new report finds. 2016 http://www.gphaonline.org/gpha-media/press/generic-drugs-continue-to-deliver-billions-in-savings-to-the-u-s-healthcare-system-new-report-finds/#.
  • 3.U.S. Government Accountability Office. [Accessed 17.05.07];Drug pricing: Research on savings from generic drug use. 2012 http://www.gao.gov/assets/590/588064.pdf.
  • 4.Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS medicine. 2009;6:e1000097. doi: 10.1371/journal.pmed.1000097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS medicine. 2009;6:e1000100. doi: 10.1371/journal.pmed.1000100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chen J, Rizzo JA. Racial and ethnic disparities in antidepressant drug use. The Journal Of Mental Health Policy And Economics. 2008;11:155–165. [PubMed] [Google Scholar]
  • 7.Shrank WH, Cox ER, Fischer MA, Mehta J, Choudhry NK. Patients’ Perceptions Of Generic Medications. Health Affairs. 2009;28:546–556. doi: 10.1377/hlthaff.28.2.546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hulbert AL, Pilch NA, Taber DJ, Chavin KD, Baliga PK. Generic immunosuppression: deciphering the message our patients are receiving. The Annals of Pharmacotherapy. 2012;46:671–677. doi: 10.1345/aph.1R028. [DOI] [PubMed] [Google Scholar]
  • 9.Iosifescu A, Halm EA, McGinn T, Siu AL, Federman AD. Beliefs about generic drugs among elderly adults in hospital-based primary care practices. Patient Education and Counseling. 2008;73:377–383. doi: 10.1016/j.pec.2008.07.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sewell K, Andreae S, Luke E, Safford MM. Perceptions of and barriers to use of generic medications in a rural African American population, Alabama, 2011. Preventing Chronic Disease. 2012;9:E142–E142. doi: 10.5888/pcd9.120010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Greene J, Hibbard J, Murray JF, Teutsch SM, Berger ML. The impact of consumer-directed health plans on prescription drug use. Health Affairs. 2008;27:1111–1119. doi: 10.1377/hlthaff.27.4.1111. [DOI] [PubMed] [Google Scholar]
  • 12.Federman AD, Halm EA, Zhu C, Hochman T, Siu AL. Association of income and prescription drug coverage with generic medication use among older adults with hypertension. The American Journal Of Managed Care. 2006;12:611–618. [PMC free article] [PubMed] [Google Scholar]
  • 13.Yun H, Curtis JR, Saag K, et al. Generic alendronate use among Medicare beneficiaries: are Part D data complete? Pharmacoepidemiology And Drug Safety. 2013;22:55–63. doi: 10.1002/pds.3361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Omojasola A, Hernandez M, Sansgiry S, Paxton R, Jones L. Predictors of $4 generic prescription drug discount programs use in the low-income population. Research In Social & Administrative Pharmacy: RSAP. 2014;10:141–148. doi: 10.1016/j.sapharm.2013.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Miller DP, Mansfield RJ, Woods JB, Wofford JL, Moran WP. The impact of drug samples on prescribing to the uninsured. Southern Medical Journal. 2008;101:888–893. doi: 10.1097/SMJ.0b013e3181814d52. [DOI] [PubMed] [Google Scholar]
  • 16.Chen AY, Wu S. Dispensing pattern of generic and brand-name drugs in children. Ambulatory pediatrics: the official journal of the Ambulatory Pediatric Association. 2008;8:189–194. doi: 10.1016/j.ambp.2007.12.008. [DOI] [PubMed] [Google Scholar]
  • 17.Gatwood J, Tungol A, Truong C, Kucukarslan SN, Erickson SR. Prevalence and predictors of utilization of community pharmacy generic drug discount programs. J Manag Care Pharm. 2011;17:449–455. doi: 10.18553/jmcp.2011.17.6.449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Li P, McElligott S, Bergquist H, Schwartz JS, Doshi JA. Effect of the Medicare Part D coverage gap on medication use among patients with hypertension and hyperlipidemia. Ann Intern Med. 2012;156:776–784. W-263, W-264, W-265, W-266, W-267, W-268, W-269. doi: 10.7326/0003-4819-156-11-201206050-00004. [DOI] [PubMed] [Google Scholar]
  • 19.Shrank WH, Hoang T, Ettner SL, et al. The implications of choice: prescribing generic or preferred pharmaceuticals improves medication adherence for chronic conditions. Archives of Internal Medicine. 2006;166:332–337. doi: 10.1001/archinte.166.3.332. [DOI] [PubMed] [Google Scholar]
  • 20.Omojasola A, Gor B, Jones L. Perceptions of generic drug discount programs among low-income women: a qualitative study. Women’s Health Issues: Official Publication Of The Jacobs Institute Of Women’s Health. 2013;23:e55–e60. doi: 10.1016/j.whi.2012.10.002. [DOI] [PubMed] [Google Scholar]
  • 21.Shrank WH, Cadarette SM, Cox E, et al. Is there a relationship between patient beliefs or communication about generic drugs and medication utilization? Medical Care. 2009;47:319–325. doi: 10.1097/MLR.0b013e31818af850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Gagne JJ, Polinski JM, Kesselheim AS, et al. Patterns and predictors of generic narrow therapeutic index drug use among older adults. Journal Of The American Geriatrics Society. 2013;61:1586–1591. doi: 10.1111/jgs.12399. [DOI] [PubMed] [Google Scholar]
  • 23.Keenum AJ, Devoe JE, Chisolm DJ, Wallace LS. Generic medications for you, but brand-name medications for me. Res Social Adm Pharm. 2012;8:574–578. doi: 10.1016/j.sapharm.2011.12.004. [DOI] [PubMed] [Google Scholar]
  • 24.Mager DE, Cox ER. Relationship between generic and preferred-brand prescription copayment differentials and generic fill rate. The American Journal Of Managed Care. 2007;13:347–352. [PubMed] [Google Scholar]
  • 25.Shrank WH, Stedman M, Ettner SL, et al. Patient, physician, pharmacy, and pharmacy benefit design factors related to generic medication use. Journal of General Internal Medicine. 2007;22:1298–1304. doi: 10.1007/s11606-007-0284-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zhang Y, Gellad WF, Zhou L, Lin YJ, Lave JR. Access to and use of $4 generic programs in Medicare. Journal of General Internal Medicine. 2012;27:1251–1257. doi: 10.1007/s11606-012-1993-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Gilman BH, Kautter J. Impact of multitiered copayments on the use and cost of prescription drugs among Medicare beneficiaries. Health Services Research. 2008;43:478–495. doi: 10.1111/j.1475-6773.2007.00774.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Rizzo JA, Zeckhauser R. Generic script share and the price of brand-name drugs: the role of consumer choice. International Journal Of Health Care Finance And Economics. 2009;9:291–316. doi: 10.1007/s10754-008-9052-0. [DOI] [PubMed] [Google Scholar]
  • 29.Hoadley JF, Merrell K, Hargrave E, Summer L. In Medicare Part D plans, low or zero copays and other features to encourage the use of generic statins work, could save billions. Health Affairs (Project Hope) 2012;31:2266–2275. doi: 10.1377/hlthaff.2012.0019. [DOI] [PubMed] [Google Scholar]
  • 30.Cox ER, Kulkarni A, Henderson R. Impact of patient and plan design factors on switching to preferred statin therapy. Ann Pharmacother. 2007;41:1946–1953. doi: 10.1345/aph.1K253. [DOI] [PubMed] [Google Scholar]
  • 31.Roebuck MC, Liberman JN. Impact of pharmacy benefit design on prescription drug utilization: a fixed effects analysis of plan sponsor data. Health Services Research. 2009;44:988–1009. doi: 10.1111/j.1475-6773.2008.00943.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Sen B, Blackburn J, Morrisey M, et al. Can increases in CHIP copayments reduce program expenditures on prescription drugs? Medicare & Medicaid Research Review. 2014:4. doi: 10.5600/mmrr2014-004-02-a03. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Rodin HA, Heaton AH, Wilson AR, Garrett NA, Plocher DW. Plan designs that encourage the use of generic drugs over brand-name drugs: an analysis of a free generic benefit. Am J Manag Care. 2009;15:881–888. [PubMed] [Google Scholar]
  • 34.Gilman BH, Kautter J. Consumer response to dual incentives under multitiered prescription drug formularies. The American Journal Of Managed Care. 2007;13:353–359. [PubMed] [Google Scholar]
  • 35.Minott J. How valid are the assumptions underlying consumer-driven health plans? Find Brief. 2009;12:1–4. [PubMed] [Google Scholar]
  • 36.Tang Y, Gellad WF, Men A, Donohue JM. Impact of Medicare Part D plan features on use of generic drugs. Medical Care. 2014;52:541–548. doi: 10.1097/MLR.0000000000000142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Wallack SS, Thomas CP, Martin TC, Ryan A. Differences in prescription drug use in HMO and self-insured health plans. Medical care research and review: MCRR. 2007;64:98–116. doi: 10.1177/1077558706296242. [DOI] [PubMed] [Google Scholar]
  • 38.Parente ST, Feldman R, Chen S. Effects of a consumer driven health plan on pharmaceutical spending and utilization. Health Services Research. 2008;43:1542–1556. doi: 10.1111/j.1475-6773.2008.00857.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Dai R, Robst J. The relationship between plan characteristics and Medicare Prescription Drug Plan bids. Appl Econ Lett. 2012;19:99–104. [Google Scholar]
  • 40.Nair KV, Frech-Tamas F, Jan S, Wolfe P, Allen RR, Saseen JJ. Comparing pre-gap and gap behaviors for Medicare beneficiaries in a Medicare managed care plan. Journal Of Health Care Finance. 2011;38:38–53. [PubMed] [Google Scholar]
  • 41.Sun SX, Lee KY. The Medicare Part D doughnut hole: effect on pharmacy utilization. Managed Care Interface. 2007;20:51. [PubMed] [Google Scholar]
  • 42.Zhang Y, Donohue JM, Newhouse JP, Lave JR. The effects of the coverage gap on drug spending: a closer look at Medicare Part D. Health Affairs (Project Hope) 2009;28:w317–325. doi: 10.1377/hlthaff.28.2.w317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Goedken AM, Urmie JM, Farris KB, Doucette WR. Impact of cost sharing on prescription drugs used by Medicare beneficiaries. Research In Social & Administrative Pharmacy: RSAP. 2010;6:100–109. doi: 10.1016/j.sapharm.2010.03.003. [DOI] [PubMed] [Google Scholar]
  • 44.Zhang JX, Yin W, Sun SX, Alexander GC. The impact of the Medicare Part D prescription benefit on generic drug use. Journal Of General Internal Medicine. 2008;23:1673–1678. doi: 10.1007/s11606-008-0742-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Lieberman DA, Polinski JM, Choudhry NK, Avorn J, Fischer MA. Unintended consequences of a Medicaid prescription copayment policy. Medical Care. 2014;52:422–427. doi: 10.1097/MLR.0000000000000119. [DOI] [PubMed] [Google Scholar]
  • 46.Bruen BK, Miller LM. Changes in Medicaid prescription volume and use in the wake of Medicare Part D implementation. Health Affairs (Project Hope) 2008;27:196–202. doi: 10.1377/hlthaff.27.1.196. [DOI] [PubMed] [Google Scholar]
  • 47.Shrank WH, Choudhry NK, Agnew-Blais J, et al. State generic substitution laws can lower drug outlays under Medicaid. Health Affairs (Project Hope) 2010;29:1383–1390. doi: 10.1377/hlthaff.2009.0424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Alpert A, Duggan M, Hellerstein JK. Perverse reverse price competition: Average wholesale prices and Medicaid pharmaceutical spending. J Public Econ. 2013;108:44–62. [Google Scholar]
  • 49.Adair RF, Holmgren LR. Do drug samples influence resident prescribing behavior? A randomized trial. Am J Med. 2005;118:881–884. doi: 10.1016/j.amjmed.2005.02.031. [DOI] [PubMed] [Google Scholar]
  • 50.Benjamin D, Swartz M, Forman L. The Impact of Evidence-Based Education on Prescribing in a Psychiatry Residency. J Psychiatr Pract. 2011;17:110–117. doi: 10.1097/01.pra.0000396062.12893.5b. [DOI] [PubMed] [Google Scholar]
  • 51.Hurley MP, Stafford RS, Lane AT. Characterizing the relationship between free drug samples and prescription patterns for acne vulgaris and rosacea. JAMA Dermatology. 2014;150:487–493. doi: 10.1001/jamadermatol.2013.9715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Li X, Sturmer T, Brookhart MA. Evidence of sample use among new users of statins: implications for pharmacoepidemiology. Medical care. 2014;52:773–780. doi: 10.1097/MLR.0000000000000174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Pinckney RG, Helminski AS, Kennedy AG, Maclean CD, Hurowitz L, Cote E. The Effect of Medication Samples on Self-Reported Prescribing Practices: A Statewide, Cross-Sectional Survey. Journal of General Internal Medicine. 2011;26:40–44. doi: 10.1007/s11606-010-1483-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Austad KE, Avorn J, Franklin JM, Campbell EG, Kesselheim AS. Association of Marketing Interactions With Medical Trainees’ Knowledge About Evidence-Based Prescribing Results From a National Survey. JAMA Internal Medicine. 2014;174:1283–1289. doi: 10.1001/jamainternmed.2014.2202. [DOI] [PubMed] [Google Scholar]
  • 55.Conklin MH, Culley EJ, O’Donnell J. Case study of the effects of office-based generic drug sampling on antibiotic drug costs and first-line antibiotic prescribing ratios. J Manag Care Pharm. 2009;15:55–61. doi: 10.18553/jmcp.2009.15.1.55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Muzumdar JM, Schommer JC, Hadsall RS, Huh J. Effects of anthropomorphic images and narration styles in promotional messages for generic prescription drugs. Res Soc Adm Pharm. 2013;9:60–79. doi: 10.1016/j.sapharm.2012.04.001. [DOI] [PubMed] [Google Scholar]
  • 57.O’Malley AJ, Frank RG, Kaddis A, Rothenberg BM, McNeil BJ. Impact of alternative interventions on changes in generic dispensing rates. Health Services Research. 2006;41:1876–1894. doi: 10.1111/j.1475-6773.2006.00579.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Nemlekar P, Shepherd M, Lawson K, Rush S. Web-based survey to assess the perceptions of managed care organization representatives on use of copay subsidy coupons for prescription drugs. Journal Of Managed Care Pharmacy: JMCP. 2013;19:602–608. doi: 10.18553/jmcp.2013.19.8.602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Dobscha SK, Winterbottom LM, Snodgrass LS. Reducing drug costs at a veterans affairs hospital by increasing market-share of generic fluoxetine. Community Mental Health Journal. 2007;43:75–84. doi: 10.1007/s10597-006-9062-7. [DOI] [PubMed] [Google Scholar]
  • 60.Sedjo RL, Cox ER. The influence of targeted education on medication persistence and generic substitution among consumer-directed health care enrollees. Health Serv Res. 2009;44:2079–2092. doi: 10.1111/j.1475-6773.2009.01023.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Tian Y, Zhou H. From bottom line to consumers’ mind: The framing effects of accounting information. Account Organ Soc. 2015;43:56–66. [Google Scholar]
  • 62.Fischer MA, Vogeli C, Stedman M, Ferris T, Brookhart A, Weissman JS. Effect of Electronic Prescribing With Formulary Decision Support on Medication Use and Cost. Archives of Internal Medicine. 2008;168:2433–2439. doi: 10.1001/archinte.168.22.2433. [DOI] [PubMed] [Google Scholar]
  • 63.Stenner SP, Chen QX, Johnson KB. Impact of generic substitution decision support on electronic prescribing behavior. J Am Med Inf Assoc. 2010;17:681–688. doi: 10.1136/jamia.2009.002568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Ross SM, Papshev D, Murphy EL, Sternberg DJ, Taylor J, Barg R. Effects of electronic prescribing on formulary compliance and generic drug utilization in the ambulatory care setting: a retrospective analysis of administrative claims data. Journal Of Managed Care Pharmacy: JMCP. 2005;11:410–415. doi: 10.18553/jmcp.2005.11.5.410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Scott AB, Culley EJ, O’Donnell J. Effects of a physician office generic drug sampling system on generic dispensing ratios and drug costs in a large managed care organization. Journal Of Managed Care Pharmacy: JMCP. 2007;13:412–419. doi: 10.18553/jmcp.2007.13.5.412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Dunne SS, Cummins NM, Hannigan A, Shannon B, Dunne C, Cullen W. Generic medicines: an evaluation of the accuracy and accessibility of information available on the Internet. BMC Medical Informatics And Decision Making. 2013;13:115. doi: 10.1186/1472-6947-13-115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Federman AD, Halm EA, Siu AL. Use of generic cardiovascular medications by elderly Medicare beneficiaries receiving generalist or cardiologist care. Medical Care. 2007;45:109–115. doi: 10.1097/01.mlr.0000250293.24939.2e. [DOI] [PubMed] [Google Scholar]
  • 68.Ryskina KL, Dine CJ, Kim EJ, Bishop TF, Epstein AJ. Effect of attending practice style on generic medication prescribing by residents in the clinic setting: an observational study. Journal Of General Internal Medicine. 2015;30:1286–1293. doi: 10.1007/s11606-015-3323-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Stephens MB, Maslach A, Childress M. The role of industry in brand or generic drug recognition. Family Medicine. 2009;41:82–83. [PubMed] [Google Scholar]
  • 70.Rice JL. The influence of managed care on generic prescribing rates: an analysis of HMO physicians. Appl Econ. 2011;43:787–796. [Google Scholar]
  • 71.Devine EB, Hoang S, Fisk AW, Wilson-Norton JL, Lawless NM, Louie C. Strategies to optimize medication use in the physician group practice: The role of the clinical pharmacist. J Am Pharm Assoc. 2009;49:181–191. doi: 10.1331/JAPhA.2009.08009. [DOI] [PubMed] [Google Scholar]
  • 72.Shrank WH, Liberman JN, Fischer MA, Girdish C, Brennan TA, Choudhry NK. Physician perceptions about generic drugs. The Annals of Pharmacotherapy. 2011;45:31–38. doi: 10.1345/aph.1P389. [DOI] [PubMed] [Google Scholar]
  • 73.Bian B, Kelton CML, Guo JJ, Wigle PR. ACE Inhibitor and ARB utilization and expenditures in the Medicaid fee-for-service program from 1991 to 2008. Journal Of Managed Care Pharmacy: JMCP. 2010;16:671–679. doi: 10.18553/jmcp.2010.16.9.671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Mark TL, Kassed C, Levit K, Vandivort-Warren R. An analysis of the slowdown in growth of spending for psychiatric drugs, 1986–2008. Psychiatric Services (Washington, DC ) 2012;63:13–18. doi: 10.1176/appi.ps.201100564. [DOI] [PubMed] [Google Scholar]
  • 75.Ventimiglia J, Kalali AH. Generic penetration in the retail antidepressant market. Psychiatry (Edgmont) 2010;7:9–11. [PMC free article] [PubMed] [Google Scholar]
  • 76.IMS Health Incorporated. [Accessed 17.05.08];The Use of Medicines in the United States: Review of 2010. 2011 https://www.imshealth.com/files/web/IMSH%20Institute/Reports/The%20Use%20of%20Medicines%20in%20the%20United%20States%202011/IHII_Medicines_in_U.S_Report_2011.pdf.
  • 77.Woodcock J, Wosinska M. Economic and technological drivers of generic sterile injectable drug shortages. Clinical Pharmacology and Therapeutics. 2013;93:170–176. doi: 10.1038/clpt.2012.220. [DOI] [PubMed] [Google Scholar]
  • 78.Tu HT, Samuel DR. Limited options to manage specialty drug spending. Center for Studying Health System Change; 2012. [Accessed 17.05.10]. http://www.hschange.org/CONTENT/1286/1286.pdf. [PubMed] [Google Scholar]
  • 79.Lenderts S, Kalali AH, Buckley P. Generic penetration in the retail atypical antipsychotic market. Psychiatry (Edgmont) 2010;7:9–10. [PMC free article] [PubMed] [Google Scholar]
  • 80.Carbon M, Correll CU. Rational use of generic psychotropic drugs. CNS Drugs. 2013;27:353–365. doi: 10.1007/s40263-013-0045-2. [DOI] [PubMed] [Google Scholar]
  • 81.Gellad WF, Donohue JM, Zhao X, et al. Brand-name prescription drug use among Veterans Affairs and Medicare Part D patients with diabetes: a national cohort comparison. Ann Intern Med. 2013;159:105–114. doi: 10.7326/0003-4819-159-2-201307160-00664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Privitera M. Generic substitution of antiepileptic drugs: what’s a clinician to do? Neurology Clinical Practice. 2013;3:161–164. doi: 10.1212/CPJ.0b013e31828d9fc9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Vlahiotis A, Devine ST, Eichholz J, Kautzner A. Discontinuation rates and health care costs in adult patients starting generic versus brand SSRI or SNRI antidepressants in commercial health plans. J Manag Care Pharm. 2011;17:123–132. doi: 10.18553/jmcp.2011.17.2.123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Liu X, Chen Y, Faries DE. Adherence and persistence with branded antidepressants and generic SSRIs among managed care patients with major depressive disorder. ClinicoEconomics and Outcomes Research. 2011;3:63–72. doi: 10.2147/CEOR.S17846. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Rathe J, Andersen M, Jarbol DE, dePont Christensen R, Hallas J, Sondergaard J. Generic switching and non-persistence among medicine users: a combined population-based questionnaire and register study. Plos One. 2015;10:e0119688. doi: 10.1371/journal.pone.0119688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Anonymous. To cut costs, risky drug use. Consumer reports. 2011;76:9. [PubMed] [Google Scholar]
  • 87.Smith L, Mosley J, Ford M, Courtney J, Stefanelli C. Brand versus generic medications: A disease state approach to identify patients’ perceptions and concerns. Journal of Generic Medicines. 2015;12:102–108. [Google Scholar]
  • 88.Campbell EG, Pham-Kanter G, Vogeli C, Iezzoni LI. Physician acquiescence to patient demands for brand-name drugs: results of a national survey of physicians. JAMA Internal Medicine. 2013;173:237–239. doi: 10.1001/jamainternmed.2013.1539. [DOI] [PubMed] [Google Scholar]
  • 89.Kesselheim AS, Gagne JJ, Franklin JM, et al. Variations in patients’ perceptions and use of generic drugs: Results of a national survey. Journal of General Internal Medicine. 2016;31:609–614. doi: 10.1007/s11606-016-3612-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Shrank WH, Liberman JN, Fischer MA, et al. The consequences of requesting “dispense as written”. Am J Med. 2011;124:309–317. doi: 10.1016/j.amjmed.2010.11.020. [DOI] [PubMed] [Google Scholar]
  • 91.Avoidable Costs in U.S. Healthcare: The $200 Billion Opportunity from Using Medicines More Responsibly. IMS Health Incorporated; 2013. [Accessed 17.05.08]. http://www.drugstorenews.com/sites/drugstorenews.com/files/Avoidable%20Costs%20in%20Healthcare.pdf. [Google Scholar]

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