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Behrens D, Pinkwater J, Fraggos J, Sheehan K. Legislative Advocacy in Illinois for Firearm Injury Prevention. Pediatrics 2024; 154:e2023065059. [PMID: 39113635 DOI: 10.1542/peds.2023-065059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 09/02/2024] Open
Abstract
The leading cause of death in children in the United States is injury caused by firearm violence. States that enact stricter laws related to firearm injury prevention have lower rates of mortality in children. In Illinois, we formed a coalition with medical professionals, medical organizations, community partners, and legislators to craft legislation to reduce the burden of firearm violence on children. These laws can be politically charged. Therefore, we decided to focus on a safe storage education law. We met regularly as a group to draft the bill and an information sheet to support it. Pediatricians and pediatric providers worked with the government relations teams in children's hospitals throughout the state to garner supporting organizations. We also worked to garner cosponsors, provided written and oral testimony to the legislative body, and wrote op-eds to support the bill. Shortly after the bill was passed and signed into law in June of 2022, there was a mass shooting at Highland Park in Illinois. After the shooting, there was a mandate from the Illinois governor to work on passing an assault weapons ban. Pediatricians again provided input into the bill about how the weapons affect children, testified before the House Judiciary Committee, and wrote op-eds. Governor Pritzker signed the Protect Illinois Communities Act into law in January of 2023. Pediatricians actively worked in the passage of both bills, which highlights the importance of medical professionals as experts who can combine powerful stories and evidence based medicine to influence policy.
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Affiliation(s)
| | - Jennie Pinkwater
- Illinois Chapter of American Academy of Pediatrics, Chicago, Illinois
| | - Jill Fraggos
- Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois
| | - Karen Sheehan
- Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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Kim N, Estrada J, Chow I, Ruseva A, Ramasamy A, Burudpakdee C, Blanchette CM. The Relative Value of Anti-Obesity Medications Compared to Similar Therapies. Clinicoecon Outcomes Res 2023; 15:51-62. [PMID: 36726966 PMCID: PMC9886521 DOI: 10.2147/ceor.s392276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/11/2023] [Indexed: 01/27/2023]
Abstract
Purpose To demonstrate a need for improved health insurance coverage for anti-obesity medications (AOMs) by comparing clinical and economic benefits of obesity treatments to covered medications for selected therapeutic areas. Methods Using a grey literature search, we identified and prioritized therapeutic areas and treatment analogues for comparison to obesity. A targeted literature review identified clinical and economic outcomes research across the therapeutic area analogues. Associated comorbidities, clinical evidence, indirect costs (ie, absenteeism and productivity loss), and direct medical costs were evaluated to determine the relative value of treating obesity. Results Four therapeutic areas/treatment analogues were selected for comparison to obesity: smoking cessation (varenicline), daytime sleepiness (modafinil), migraines (erenumab), and fibromyalgia (pregabalin). Obesity was associated with 17 comorbidities, more than migraine (9), smoking (8), daytime sleepiness (5), and fibromyalgia (2). Economic burden was greatest for obesity, followed by smoking, with yearly indirect and direct medical costs totaling $676 and $345 billion, respectively. AOMs resulted in cost savings of $2586 in direct medical costs per patient per year (PPPY), greater than that for varenicline at $930 PPPY, modafinil at $1045 PPPY, and erenumab at $468 PPPY; pregabalin utilization increased costs by $924 PPPY. AOMs were covered by 10-16% of United States health insurance plans, compared to 45-59% for the four comparators. Conclusion Compared to four therapeutic analogues, obesity represented the highest economic burden and was associated with more comorbidities. AOMs provide greater cost savings compared to selected analogues. However, AOMs have limited formulary coverage. Improved coverage of AOMs may increase access to these treatments and may help address the clinical and economic burden associated with obesity and its comorbidities.
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Affiliation(s)
- Nina Kim
- Novo Nordisk, Inc, Plainsboro, NJ, USA
| | | | | | - Aleksandrina Ruseva
- Novo Nordisk, Inc, Plainsboro, NJ, USA,Correspondence: Aleksandrina Ruseva, Novo Nordisk, Inc, 800 Scudders Mill Road, Plainsboro, NJ, 08536, USA, Tel +1 609-598-8146, Email
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Chen B, Silvestri GA, Dahne J, Lee K, Carpenter MJ. The Cost-Effectiveness of Nicotine Replacement Therapy Sampling in Primary Care: a Markov Cohort Simulation Model. J Gen Intern Med 2022; 37:3684-3691. [PMID: 35091913 PMCID: PMC9585132 DOI: 10.1007/s11606-021-07335-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 12/14/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Pharmacotherapies remain a central focus of successful tobacco control, but uptake remains very low. OBJECTIVE To estimate the cost effectiveness of a primary care nicotine replacement therapy (NRT) sampling intervention. DESIGN A Markov cohort simulation model was constructed to conduct cost-effectiveness analyses. Clinical trial results were used to initialize the Markov model. All other model parameters were derived from the literature. The study was conducted over a lifetime horizon, from the payers' budgetary perspective. PARTICIPANTS Smokers with a primary care visit. INTERVENTION Medication sampling, which provided short, starter packets of NRT (nicotine patch and lozenge) to smokers in the primary care setting. MAIN MEASURES Lifetime healthcare expenditures, quality-adjusted life years, and life years. KEY RESULTS Medication sampling was the dominant strategy compared to standard care. Our intervention cost $75, yielding a discounted lifetime savings of $1065 in healthcare expenditures, and increased both discounted quality-adjusted life years and discounted life years by 0.01. One-way sensitivity analyses showed that medication sampling remained dominant in plausible ranges except when it failed to increase cessation relative to standard care. Probabilistic sensitivity analyses confirmed that medication sampling was dominant in 94.1% of the simulated cases, with an implementation cost of $74 (95% CI $73-$76) and discounted lifetime savings in health expenditures of $1061 (- $1106 to - $1,017), increasing quality-adjusted life years by 0.008 (0.0085-0.0093) and life years by 0.008 (0.0081-0.0089). CONCLUSION Medication sampling, an easily implementable, scalable and low-cost intervention to encourage smoking cessation, is cost saving and improves quality of life.
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Affiliation(s)
- Brian Chen
- Arnold School of Public Health, University of South Carolina, 915 Greene St. #354, Columbia, SC, 29208, USA.
| | - Gerard A Silvestri
- Department of Medicine, Medical University of South Carolina (MUSC), Charleston, USA
- Hollings Cancer Center, MUSC, Charleston, USA
| | - Jennifer Dahne
- Hollings Cancer Center, MUSC, Charleston, USA
- Department of Psychiatry & Behavioral Sciences, MUSC, Charleston, USA
| | - Kyueun Lee
- University of Pittsburgh, Pittsburgh, USA
| | - Matthew J Carpenter
- Hollings Cancer Center, MUSC, Charleston, USA
- Department of Psychiatry & Behavioral Sciences, MUSC, Charleston, USA
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Lu ZK, Xiong X, Lee T, Wu J, Yuan J, Jiang B. Big Data and Real-World Data based Cost-Effectiveness Studies and Decision-making Models: A Systematic Review and Analysis. Front Pharmacol 2021; 12:700012. [PMID: 34737696 PMCID: PMC8562301 DOI: 10.3389/fphar.2021.700012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 08/27/2021] [Indexed: 12/28/2022] Open
Abstract
Background: Big data and real-world data (RWD) have been increasingly used to measure the effectiveness and costs in cost-effectiveness analysis (CEA). However, the characteristics and methodologies of CEA based on big data and RWD remain unknown. The objectives of this study were to review the characteristics and methodologies of the CEA studies based on big data and RWD and to compare the characteristics and methodologies between the CEA studies with or without decision-analytic models. Methods: The literature search was conducted in Medline (Pubmed), Embase, Web of Science, and Cochrane Library (as of June 2020). Full CEA studies with an incremental analysis that used big data and RWD for both effectiveness and costs written in English were included. There were no restrictions regarding publication date. Results: 70 studies on CEA using RWD (37 with decision-analytic models and 33 without) were included. The majority of the studies were published between 2011 and 2020, and the number of CEA based on RWD has been increasing over the years. Few CEA studies used big data. Pharmacological interventions were the most frequently studied intervention, and they were more frequently evaluated by the studies without decision-analytic models, while those with the model focused on treatment regimen. Compared to CEA studies using decision-analytic models, both effectiveness and costs of those using the model were more likely to be obtained from literature review. All the studies using decision-analytic models included sensitivity analyses, while four studies no using the model neither used sensitivity analysis nor controlled for confounders. Conclusion: The review shows that RWD has been increasingly applied in conducting the cost-effectiveness analysis. However, few CEA studies are based on big data. In future CEA studies using big data and RWD, it is encouraged to control confounders and to discount in long-term research when decision-analytic models are not used.
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Affiliation(s)
- Z Kevin Lu
- Department of Clinical Pharmacy and Outcomes Sciences, University of South Carolina, Columbia, SC, United States
| | - Xiaomo Xiong
- Department of Clinical Pharmacy and Outcomes Sciences, University of South Carolina, Columbia, SC, United States
| | - Taiying Lee
- Department of Clinical Pharmacy and Outcomes Sciences, University of South Carolina, Columbia, SC, United States
| | - Jun Wu
- Department of Pharmaceutical and Administrative Sciences, Presbyterian College School of Pharmacy, Clinton, SC, United States
| | - Jing Yuan
- Department of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai, China
| | - Bin Jiang
- Department of Administrative and Clinical Pharmacy, School of Pharmaceutical Sciences, Health Science Center, Peking University, Beijing, China
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Fujita T, Babazono A, Jiang P, Jamal A, Li Y. Cost-effectiveness analysis of treatment with varenicline for nicotine dependence compared with smoking cessation without pharmacotherapy in the real world. Pharmacoepidemiol Drug Saf 2021; 31:187-195. [PMID: 34529297 DOI: 10.1002/pds.5359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 09/13/2021] [Indexed: 11/09/2022]
Abstract
PURPOSE Smoking is an important public health issue. Although measures to support smoking cessation have been implemented worldwide, smokers often fail to quit smoking after receiving pharmacotherapies for nicotine dependence. The present study evaluated the cost-effectiveness of varenicline for smoking cessation compared with no pharmacotherapy using actual paid medical cost data in Japan. METHODS This was a retrospective cohort study of 3657 subjects who had quit smoking with varenicline or no pharmacotherapy. We extracted health examination and medical claim data from a health insurer database for the period 2012-2015. We calculated the incremental cost-effective ratio (ICER) of varenicline using actual paid medical costs for nicotine dependence and the number needed to treat to maintain smoking cessation compared with no pharmacotherapy, considering sex, age, income, and occupation. RESULTS The 1- and 2-year smoking cessation maintenance rates were 69.7% and 62.4%, respectively. We found that 8.8% of subjects who quit smoking used varenicline for nicotine dependence and the cost per person was Japanese Yen (JPY) 52 177 (U.S. dollars [USD] 474; USD 1 = JPY 110). The ICER of varenicline was dominant when comparing 2-year cessation with 1-year cessation. Male, age <40 years, low income, and manufacturing workers were the most cost-effective variables. CONCLUSIONS The cost-effective variables of varenicline in the real world were investigated. The results of this study strengthen the evidence regarding which type of people should be targeted for measures to support smoking cessation using varenicline.
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Affiliation(s)
- Takako Fujita
- Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akira Babazono
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Peng Jiang
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Aziz Jamal
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Health Administration Program, Department of International Business and Management, Universiti Teknologi MARA, Selangor Campus, Shah Alam, Malaysia
| | - Yunfei Li
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Bastian LA, Driscoll M, DeRycke E, Edmond S, Mattocks K, Goulet J, Kerns RD, Lawless M, Quon C, Selander K, Snow J, Casares J, Lee M, Brandt C, Ditre J, Becker W. Pain and smoking study (PASS): A comparative effectiveness trial of smoking cessation counseling for veterans with chronic pain. Contemp Clin Trials Commun 2021; 23:100839. [PMID: 34485755 PMCID: PMC8391053 DOI: 10.1016/j.conctc.2021.100839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 08/11/2021] [Accepted: 08/18/2021] [Indexed: 11/08/2022] Open
Abstract
Introduction Smoking is associated with greater pain intensity and pain-related functional interference in people with chronic pain. Interventions that teach smokers with chronic pain how to apply adaptive coping strategies to promote both smoking cessation and pain self-management may be effective. Methods The Pain and Smoking Study (PASS) is a randomized clinical trial of a telephone-delivered, cognitive behavioral intervention among Veterans with chronic pain who smoke cigarettes. PASS participants are randomized to a standard telephone counseling intervention that includes five sessions focusing on motivational interviewing, craving and relapse management, rewards, and nicotine replacement therapy versus the same components with the addition of a cognitive behavioral intervention for pain management. Participants are assessed at baseline, 6, and 12 months. The primary outcome is smoking cessation. Results The 371 participants are 88% male, a median age of 60 years old (range 24–82), and smoke a median of 15 cigarettes per day. Participants are mainly white (61%), unemployed (70%), 33% had a high school degree or less, and report their overall health as “Fair” (40%) to “Poor” (11%). Overall, pain was moderately high (mean pain intensity in past week = 5.2 (Standard Deviation (SD) = 1.6) and mean pain interference = 5.5 (SD = 2.2)). Pain-related anxiety was high (mean = 47.0 (SD = 22.2)) and self-efficacy was low (mean = 3.8 (SD = 1.6)). Conclusions PASS utilizes an innovative smoking and pain intervention to promote smoking cessation among Veterans with chronic pain. Baseline characteristics reflect a socioeconomically vulnerable population with a high burden of mental health comorbidities.
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Affiliation(s)
- Lori A Bastian
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States.,Yale University School of Medicine, New Haven, CT, United States
| | - Mary Driscoll
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States.,Yale University School of Medicine, New Haven, CT, United States
| | - Eric DeRycke
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States
| | - Sara Edmond
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States.,Yale University School of Medicine, New Haven, CT, United States
| | - Kristin Mattocks
- University of Massachusetts Medical School, Worcester, MA, United States.,VA Central Western Massachusetts Healthcare System, Leeds, MA, United States
| | - Joe Goulet
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States.,Yale University School of Medicine, New Haven, CT, United States
| | - Robert D Kerns
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States.,Yale University School of Medicine, New Haven, CT, United States
| | - Mark Lawless
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States
| | - Caroline Quon
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States
| | - Kim Selander
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States
| | - Jennifer Snow
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States
| | - Jose Casares
- VA Central Western Massachusetts Healthcare System, Leeds, MA, United States
| | - Megan Lee
- Yale University School of Medicine, New Haven, CT, United States
| | - Cynthia Brandt
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States.,Yale University School of Medicine, New Haven, CT, United States
| | - Joseph Ditre
- Department of Psychology, Syracuse University, Syracuse, NY, United States
| | - William Becker
- Pain Research, Informatics, Multimorbidities, Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States.,Yale University School of Medicine, New Haven, CT, United States
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Blok AC, Ignacio RV, Geraci MC, Kim HM, Barnett PG, Duffy SA. Provider and clinical setting characteristics associated with tobacco pharmacotherapy dispensed in the Veterans Health Administration. Tob Induc Dis 2021; 19:65. [PMID: 34429727 PMCID: PMC8349177 DOI: 10.18332/tid/140091] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/04/2021] [Accepted: 07/08/2021] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION While initiation rates of tobacco cessation pharmacotherapy have improved both inside and outside the Department of Veteran Affairs (VA), prescribing rates remain low. The objective of this study was to examine correlation of the characteristics of providers, clinics, and facilities with initiation of tobacco cessation pharmacotherapy. METHODS This retrospective, observational study used VA outpatient electronic medical record data from federal fiscal year 2011. Logistic regression models estimated the adjusted odds ratio associated with provider characteristics for pharmacotherapy initiation. RESULTS For the 639507 veterans who used tobacco, there were 30388 providers caring for them. Younger (p<0.001) and female (p<0.001) providers were more likely to initiate tobacco cessation pharmacotherapy. Compared to physicians, pharmacists were 74% more likely to initiate pharmacotherapy, while all groups of nurses were 5-8% and physicians' assistants were 12% less likely (p<0.001). Compared to those seen in primary care clinics, patients assessed in substance use treatment clinics were 16% more likely to have pharmacotherapy initiated (p<0.001), while those in psychiatry were 10% less likely (p<0.001), and those in outpatient surgery were 39% less likely to initiate pharmacotherapy (p<0.001). Compared to almost all other classes of VA facilities, patients seen in primary care community-based outpatient clinics (CBOCs) were 7-28% more likely to initiate pharmacotherapy (p<0.0001). CONCLUSIONS While the VA is at the leading edge of providing tobacco cessation pharmacotherapy, targeting quality improvement efforts towards providers, clinics, and facilities with low prescribing rates will be essential to continue the declining rates of tobacco use among VA patients.
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Affiliation(s)
- Amanda C. Blok
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, United States
- Department of Systems, Populations and Leadership, School of Nursing, University of Michigan, Ann Arbor, United States
| | - Rosalinda V. Ignacio
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, United States
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, United States
| | - Mark C. Geraci
- Department of Veterans Affairs Pharmacy Benefits Management Services, United States Department of Veterans Affairs, Hines, United States
| | - Hyungjin Myra Kim
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, United States
- Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, United States
| | - Paul G. Barnett
- Health Economics Resource Center, United States Department of Veterans Affairs, Menlo Park, United States
| | - Sonia A. Duffy
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, United States
- College of Nursing, The Ohio State University, Columbus, United States
- Department of Psychiatry, University of Michigan, Ann Arbor, United States
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