Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jennifer S. Graff is active.

Publication


Featured researches published by Jennifer S. Graff.


Journal of Managed Care Pharmacy | 2017

Is Real-World Evidence Used in P&T Monographs and Therapeutic Class Reviews?

Jason T. Hurwitz; Mary Brown; Jennifer S. Graff; Loretta Peters; Daniel C. Malone

BACKGROUNDnPayers are faced with making coverage and reimbursement decisions based on the best available evidence. Often these decisions apply to patient populations, provider networks, and care settings not typically studied in clinical trials. Treatment effectiveness evidence is increasingly available from electronic health records, registries, and administrative claims. However, little is known about when and what types of real-world evidence (RWE) studies inform pharmacy and therapeutic (P&T) committee decisions.nnnOBJECTIVEnTo evaluate evidence sources cited in P&T committee monographs and therapeutic class reviews and assess the design features and quality of cited RWE studies.nnnMETHODSnA convenience sample of representatives from pharmacy benefit management, health system, and health plan organizations provided recent P&T monographs and therapeutic class reviews (or references from such documents). Two investigators examined and grouped references into major categories (published studies, unpublished studies, and other/unknown) and multiple subcategories (e.g., product label, clinical trials, RWE, systematic reviews). Cited comparative RWE was reviewed to assess design features (e.g., population, data source, comparators) and quality using the Good ReseArch for Comparative Effectiveness (GRACE) Checklist.nnnRESULTSnInvestigators evaluated 565 references cited in 27 monographs/therapeutic class reviews from 6 managed care organizations. Therapeutic class reviews mostly cited published clinical trials (35.3%, 155/439), while single-product monographs relied most on manufacturer-supplied information (42.1%, 53/126). Published RWE comprised 4.8% (21/439) of therapeutic class review references, and none (0/126) of the monograph references. Of the 21 RWE studies, 12 were comparative and assessed patient care settings and outcomes typically not included in clinical trials (community ambulatory settings [10], long-term safety [8]). RWE studies most frequently were based on registry data (6), conducted in the United States (6), and funded by the pharmaceutical industry (5). GRACE Checklist ratings suggested the data and methods of these comparative RWE studies were of high quality.nnnCONCLUSIONSnRWE was infrequently cited in P&T materials, even among therapeutic class reviews where RWE is more readily available. Although few P&T materials cited RWE, the comparative RWE studies were generally high quality. More research is needed to understand when and what types of real-world studies can more routinely inform coverage and reimbursement decisions.nnnDISCLOSURESnThis project was funded by the National Pharmaceutical Council. Hurwitz, Brown, Peters, and Malone have nothing to disclose. Graff is employed by the National Pharmaceutical Council Part of this study was presented as a poster presentation at the AMCP Managed Care & Specialty Pharmacy 2016 Annual Meeting; April 19-22, 2016; San Francisco, CA. Study concept and design were primarily contributed by Malone and Graff, along with Hurwitz and Brown. All authors participated in data collection, and data interpretation was performed by Malone, Hurwitz, and Graff, with assistance from Brown and Peters. The manuscript was written primarily by Hurwitz and Malone, along with Graff, Brown, and Peters, and revised by Malone, Brown, Peters, Hurwitz, and Graff.


Journal of Managed Care Pharmacy | 2016

Got CER? Educating Pharmacists for Practice in the Future: New Tools for New Challenges

Eleanor M. Perfetto; Chinenye Anyanwu; Matthew K. Pickering; Roxanne Ward Zaghab; Jennifer S. Graff; Bernadette Eichelberger

BACKGROUNDnUnderstanding how treatments work in the real world and in real patients is an important and complex task. In recent years, comparative effectiveness research (CER) studies have become more available for health care providers to inform evidence-based decision making. There is variability in the strengths and limitations of this new evidence, and researchers and decision makers are faced with challenges when assessing the quality of these new methods and CER studies.nnnOBJECTIVESnTo (a) describe an online tool developed by the CER Collaborative, composed of the Academy of Managed Care Pharmacy, the International Society for Pharmacoeconomics and Outcomes Research, and the National Pharmaceutical Council, and (b) provide an early evaluation of the training program impact on learners self-reported abilities to evaluate and incorporate CER studies into their decision making.nnnMETHODSnTo encourage greater transparency, consistency, and uniformity in the development and assessment of CER studies, the CER Collaborative developed an online tool to assist researchers, new and experienced clinicians, and decision makers in producing and evaluating CER studies. A training program that supports the use of the online tool was developed to improve the ability and confidence of individuals to apply CER study findings in their daily work. Seventy-one health care professionals enrolled in 3 separate cohorts for the training program. Upon completion, learners assessed their abilities to interpret and apply findings from CER studies by completing on online evaluation questionnaire.nnnRESULTSnThe first 3 cohorts of learners to complete the training program consisted of 71 current and future health care practitioners and researchers. At completion, learners indicated high confidence in their CER evidence assessment abilities (mean = 4.2). Learners reported a 27.43%-59.86% improvement in capabilities to evaluate various CER studies and identify study design flaws (mean evaluation before CER Certificate Program [CCP] scores = 1.86-3.14 and post-CCP scores = 3.92-4.24). Additionally, 63% of learners indicated that they expected to increase their use of evidence from CER studies in at least 1-2 problem decisions per month.nnnCONCLUSIONSnThe CER Collaborative has responded to the need for increased practitioner training to improve understanding and application of new CER studies. The CER Collaborative tool and certificate training program are innovative solutions to help decision makers meet the challenges they face in honing their skills to best incorporate credible and relevant CER evidence into their decision making.nnnDISCLOSURESnThe CER Collaborative, the development of the questionnaires and web-based tool, and the development of the CER Certificate Program were supported by grants and in-kind contributions from the Academy of Managed Care Pharmacy (AMCP), the International Society for Pharmacoeconomics and Outcomes Research (ISPOR), and the National Pharmaceutical Council (NPC). The University of Maryland School of Pharmacy conducted its work under a contract with the AMCP Foundation and grant funding from the NPC. Perfetto is employed by the University of Maryland and the National Health Council and serves as assistant editor for the Journal of Managed Care & Specialty Pharmacy, consults for Avelere, and serves as a member of advisory boards for the PQA and CMTP. Pickering received support from the NPC for activities related to this research. Eichelberger is employed by the Academy of Managed Care Pharmacy. Eichelberger and Graff are with the CER Collaborative. Graff is employed by the National Pharmaceutical Council. Study concept and design were primarily contributed by Perfetto, Graff, and Eichelberger, along with Anyanwu and assisted by Pickering and Ward Zaghab. Pickering and Ward Zaghab took the lead in data collection, with assistance from the other authors, and data interpretation was performed by Perfetto, Graff, Pickering, and Ward Zaghab, with assistance from the other authors. The manuscript was written by Perfetto and Anyanwu, with assistance from the other authors, and revised by Graff, Perfetto, Anyanwu, and Pickering, assisted by Eichelberger and Ward Zaghab.


Rand Health Quarterly | 2015

Employer, Insurer, and Industry Perspectives on Patient-Centered Comparative Effectiveness Research: Final Report

Thomas W. Concannon; Dmitry Khodyakov; Virginia Kotzias; Gavin Fahey; Jennifer S. Graff; Robert W. Dubois

The Patient-Centered Outcomes Research Institute (PCORI) is an independent, nonprofit, nongovernmental organization authorized under the Affordable Care Act of 2010 and funded by Congress to help close the gaps in research needed to improve key health outcomes. To do this, PCORI identifies critical research questions, funds patient-centered comparative effectiveness research (CER), and strives to disseminate the results in ways that stakeholders, including patients, providers, health insurance purchasers, payers, and industry, will find useful. PCORI commissioned RAND and the National Pharmaceutical Council to conduct an independent study of the health-related decisions, information needs, understanding and use of CER, and opportunities for involvement of these three stakeholder communities in CER. RAND conducted ten telephone and Web-enabled focus groups involving representatives from all three communities. This article describes the key themes emerging from those discussions and presents implications for PCORIs work.


Journal of Managed Care Pharmacy | 2016

AMCP partnership forum: FDAMA section 114-improving the exchange of health care economic data

Yanjun Carol Bao; Christopher Michael Blanchette; Laurie Burke; Lisa Cashman; Elizabeth J. Cobbs; Gregory Daniel; Dan Danielson; Jeffrey Francer; Jennifer S. Graff; Joel W. Hay; Russell Hoverman; Jay Jackson; Daniel C. Malone; James K. Marttila; Craig Mattson; Joan S. McClure; Jay Mcknight; Philip Naughten; Peter J. Neumann; Eleanor M. Perfetto; Carly Rodriguez; Laurie Wesolowicz; Rhys Williams; Susan C. Winckler; Lori Zablow-Salles; Gergana Zlateva; Kevin Bruns; Susan A. Cantrell; Mary Jo Carden; Charlie Dragovich

UNLABELLEDnThe Food and Drug Administration Modernization Act (FDAMA) of 1997 included Section 114 as a regulatory safe harbor with the goal of increasing the dissemination of health care economic information (HCEI) to those responsible for formulary decision making. HCEI is typically not included within FDA-approved labeling. Although it has been nearly 20 years since passage and enactment of Section 114, proactive distribution of HCEI has been underutilized by biopharmaceutical companies partly because of (a) vague wording in the statute and (b) the absence of FDA-implementing regulations. Consequently, companies and health care decisions makers have had to speculate about the scope of the provisions. As a result, the biopharmaceutical industry has significant concerns about stepping over the line when using the safe harbor. Also, payers and other payer-like decision makers (e.g., self-funded corporate insurers) who are trying to make appropriate coverage and utilization decisions are demanding this information but are not receiving it because of the uncertainties in the statute. Considering this renewed interest by multiple stakeholders regarding the need for revisions and/or guidance pertaining to Section 114, the Academy of Managed Care Pharmacy held a partnership forum on March 1-2, 2016, with a diverse group of health care stakeholders to provide the FDA with considerations for disseminating a guidance document on current thinking for the sharing of HCEI with health care decision makers. Forum participants represented the managed care industry, biopharmaceutical industry, health care providers, pharmacoeconomic experts, policy experts, and patient advocacy groups with specific expertise in the development, use, and dissemination of HCEI. The multistakeholder group represented the key professionals and entities affected by the provisions of Section 114 and present the collective credibility necessary for Congress and the FDA to modernize and operationalize the safe harbor by using the consensus recommendations developed during the forum. Speakers, panelists, and attendees focused on 4 terms in Section 114 that remain open to interpretation by companies and enforcement bodies: (1) the scope of HCEI, (2) the scope of formulary committee or similar entity, (3) the definition of competent and reliable scientific evidence (CRSE), and (4) the parameters of how information directly relates to an approved indication. Based on the forum results, it was recommended that the safe harbor for companies proactive dissemination of information under Section 114 should include health care decision makers beyond health plan formulary committees, including organizations, or individuals in their role in an organization, who make health care decisions for patient populations. Recommendations also suggested expansion to organizations that evaluate HCEI or develop value frameworks and compendia and individuals in such organizations. Forum participants also recommended that HCEI be truthful, and not misleading, and be based on the expertise of professionals in the relevant area. HCEI must also be developed and disclosed in a transparent, reproducible, and accurate manner. Forum participants also discussed and agreed on the types of information, format, and processes by which managed care pharmacy and other health care decision makers seek to receive HCEI from biopharmaceutical companies. Finally, participants encouraged the FDA, Congress, and other stakeholders to find ways to ensure that patients or their representative organizations have appropriate access to a full range of information about their medications and that information related to the medication pipeline is communicated to appropriate stakeholders in a timely manner.nnnDISCLOSURESnThe AMCP Partnership Forum on FDAMA Section 114-Improving the Exchange of Pharmacoeconomic Data and the development of this proceedings document were supported by AbbVie, Amgen, Boehringer Ingelheim Pharmaceuticals, Merck & Co., National Pharmaceutical Council, Pharmaceutical Research and Manufacturers of America, Precision for Value, Pfizer, Takeda Pharmaceuticals, U.S.A., and Xcenda. All sponsors participated in the forum and participated in revising and approving the manuscript.


Health Affairs | 2018

Specialty Drug Coverage Varies Across Commercial Health Plans In The US

James D. Chambers; David D. Kim; E Pope; Jennifer S. Graff; Colby L. Wilkinson; Peter J. Neumann

We analyzed specialty drug coverage decisions issued by the largest US commercial health plans to examine variation in coverage and the consistency of those decisions with indications approved by the Food and Drug Administration (FDA). Across 3,417 decisions, 16xa0percent of the 302 drug-indication pairs were covered the same way by all of the health plans, and 48xa0percent were covered the same way by 75xa0percent of the plans. Specifically, 52xa0percent of the decisions were consistent with the FDA label, 9xa0percent less restrictive, 2xa0percent mixed (less restrictive in some ways but more restrictive in others), and 33xa0percent more restrictive, while 5xa0percent of the pairs were not covered. Health plans restricted coverage of drugs indicated for cancer less often than they did coverage of drugs indicated for other diseases. Using multivariate regression, we found that several drug-related factors were associated with less restrictive coverage, including indications for orphan diseases or pediatric populations, absence of safety warnings, time on the market, lack of alternatives, and expedited FDA review. Variations in coverage have implications for patients access to treatment and health system costs.


Journal of Managed Care Pharmacy | 2017

Does a One-Size-Fits-All Cost-Sharing Approach Incentivize Appropriate Medication Use? A Roundtable on the Fairness and Ethics Associated with Variable Cost Sharing

Jennifer S. Graff; Chuck Shih; Thomas Barker; Gabriela Dieguez; Cheryl Larson; Helen Sherman; Robert W. Dubois

BACKGROUNDnTiered formularies, in which patients pay copays or coinsurance out-of-pocket (OOP), are used to manage costs and encourage more efficient health care resource use. Formulary tiers are typically based on the cost of treatment rather than the medical appropriateness for the patient. Cost sharing may have unintended consequences on treatment adherence and health outcomes. Use of higher-cost, higher-tier medications can be due to a variety of factors, including unsuccessful treatment because of lack of efficacy or side effects, patient clinical or genetic characteristics, patient preferences to avoid potential side effects, or patient preferences based on the route of administration. For example, patients with rheumatoid arthritis may be required to fail low-cost generic treatments before obtaining coverage for a higher-tier tumor necrosis factor alpha inhibitor for which they would have a larger financial burden. Little is known about stakeholders views on the acceptability of greater patient cost sharing if the individual patient characteristics lead to the higher-cost treatments.nnnOBJECTIVEnTo identify and discuss the trade-offs associated with variable cost sharing in pharmacy benefits.nnnMETHODSnTo discuss the trade-offs associated with variable cost sharing in pharmacy benefits, we convened an expert roundtable of patient, payer, and employer representatives (panelists). Panelists reviewed background white papers, including an ethics framework; actuarial analysis; legal review; and stakeholder perspectives representing health plan, employer, and patient views. Using case studies, panelists were asked to consider (a) when it would be more (or less) acceptable to require higher cost sharing; (b) the optimal distribution of financial burdens across patients, all plan members, and employers; and (c) the existing barriers and potential solutions to align OOP costs with medically appropriate treatments.nnnRESULTSnPanelists felt it was least acceptable for patients to have greater OOP costs if the use of the higher-cost treatment was due to biological reasons such as step therapy (6 = unacceptable, 9 = neutral, 2 = acceptable) or diagnostic results (5 = unacceptable, 10 = neutral, and 2 = acceptable). In contrast, panelists felt it was more acceptable for patients to pay greater OOP costs when treatment choice was based on preferences to avoid a side-effect risk (1 = unacceptable, 3 = neutral, and 13 = acceptable) or the route/frequency of administration (1 = unacceptable, 1 = neutral, and 15 = acceptable). Five guiding principles emerged from the discussion: When patients have tried lower-cost therapies unsuccessfully, the benefits of higher-cost treatments were certain and significant, the cost difference between treatments was aligned with improved benefits, and penalties due to bad luck were mitigated, then cost-sharing differences should be minimized but not eliminated.nnnCONCLUSIONSnPatient OOP costs can affect the use of both inappropriate and appropriate medications. This study identified 5 guiding principles to determine when it was more (or less) acceptable for patients with the same or similar conditions to have different OOP costs. Barriers that hinder the alignment of care and patient cost sharing exist. Policies that facilitate the alignment of patient cost sharing with appropriate care are needed.nnnDISCLOSURESnFunding for this roundtable was provided by the National Pharmaceutical Council (NPC). Graff and Dubois are employed by the NPC. Shih was employed by the NPC at the time of this study. Barker, Dieguez, Sherman, and Larson received consulting fees for participation in this study. Larson also reports receiving grants and other payment from multiple major pharmaceutical manufacturers outside of this study. The NPC employees developed the study design and chose the case studies in collaboration with the white paper authors. The roundtable was facilitated by Dubois, and the meeting summary and manuscript were written by Graff and Shih, with revisions by all roundtable participants. The abstract for this article was previously presented as a poster at the following meetings: Stakeholder perspectives on balancing patient-centeredness and drug costs in the design of pharmacy benefits. Presented at: Academy of Managed Care Pharmacy 27th Annual Meeting & Expo; San Diego, California; April 8, 2015. Considering efficiency and fairness in the design of prescription drug benefits: seeking a balanced approach to improve patient access to medically appropriate medication and manage drug costs. Presented at: AcademyHealth Annual Research Meeting; Minneapolis, Minnesota; June 15, 2015. Study concept and design were contributed by Shih, Dubois, and Graff, along with Barker and Dieguez. Barker and Dieguez took the lead in data collection, assisted by Graff, Shih, and Dubois. Data interpretation was performed by Shih, Larson, Sherman, and Graff, with assistance from Dubois. The manuscript was written and revised by Graff and Shih, with assistance from the other authors.


Journal of Managed Care Pharmacy | 2014

The good, the bad, and the different: a primer on aspects of heterogeneity of treatment effects.

Daniel C. Malone; Lisa E. Hines; Jennifer S. Graff


International Journal of Technology Assessment in Health Care | 2017

VP02 Are Journal Editors A Barrier To Publication Of Real World Evidence

Jennifer S. Graff; Eleanor M. Perfetto; C. Daniel Mullins; Robert W. Dubois; Chinenye Anyanwu; Ebere Onukwugha; Em Oehrlein


International Journal of Technology Assessment in Health Care | 2018

PEER-REVIEWED JOURNAL EDITORS’ VIEWS ON REAL-WORLD EVIDENCE

Em Oehrlein; Jennifer S. Graff; Eleanor M. Perfetto; C. Daniel Mullins; Robert W. Dubois; Chinenye Anyanwu; Eberechukwu Onukwugha


Archive | 2016

ORIGINAL ARTICLES Standards and guidelines for observational studies: quality is in the eye of the beholder

Sally C. Morton; Monica R. Costlow; Jennifer S. Graff; Robert W. Dubois

Collaboration


Dive into the Jennifer S. Graff's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Em Oehrlein

University of Maryland

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge