Evidence map›Paper›PMID 31778623›Full record

ArticleJournal of managed care & specialty pharmacy2019

Actionable Real-World Evidence to Improve Health Outcomes and Reduce Medical Spending Among Risk-Stratified Patients with Diabetes.

Elizabeth M Garry, Sebastian Schneeweiss, Sara Eapen, Natalia Petruski-Ivleva, Elizabeth Cheever, William Murk, Aditya Rajan, Jeremy A Rassen, David Gambino, Hannah Jang and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Elizabeth M GarryAetion, New York, New York.
Sebastian SchneeweissDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham & Woman's Hospital, Boston, and Harvard Medical School, Boston, Massachusetts.
Sara EapenAetion, New York, New York.
Natalia Petruski-IvlevaAetion, New York, New York.
Elizabeth CheeverAetion, New York, New York.
William MurkAetion, New York, New York.
Aditya RajanAetion, New York, New York.
Jeremy A RassenAetion, New York, New York.
David GambinoDepartment of Pharmacy Practice and Administration, Pharmacy Strategy and Clinical Integration, Horizon Blue Cross Blue Shield of New Jersey, Newark.
Hannah JangDepartment of Pharmacy Practice and Administration, Pharmacy Strategy and Clinical Integration, Horizon Blue Cross Blue Shield of New Jersey, Newark.
Elizabeth RubinDepartment of Pharmacy Practice and Administration, Pharmacy Strategy and Clinical Integration, Horizon Blue Cross Blue Shield of New Jersey, Newark.
Saira JanDepartment of Pharmacy Practice and Administration, Pharmacy Strategy and Clinical Integration, Horizon Blue Cross Blue Shield of New Jersey, Newark, and Rutgers State University of New Jersey School of Pharmacy, Piscataway.
Aetion (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a chronic condition with a high economic burden as well as drug treatments that have not all demonstrated effects on longevity. Managed care organizations want to improve health outcomes in these complex patients but lack actionable evidence to make informed decisions on which therapies are most effective among their members and may also control total health care spending.

objectiveTo produce actionable evidence by identifying antidiabetic treatments that are effective and may reduce total cost of care in various risk groups of patients with T2DM, using insurance claims data that includes medical claims and pharmacy dispensing data among members of Horizon Blue Cross Blue Shield of New Jersey with T2DM.

methodsWe identified patients with T2DM in longitudinal claims data from Horizon between 2014 and 2017 with demographic and enrollment information, inpatient and outpatient diagnoses and procedures, and pharmacy dispensing. Outcomes included myocardial infarction, heart failure (HF), stroke, percutaneous revascularization, health care services utilization, and plan costs (i.e., medical, pharmacy, and total cost of care). After propensity score decile adjustment on over 20 covariates, we evaluated the effectiveness and safety of second-line antidiabetic treatment that included sodium-glucose co-transporter-2 (SGLT-2) inhibitors, sulfonylureas (SUs), dipeptidyl peptidase-4 (DPP-4) inhibitors, and glucagon-like peptide-1 (GLP-1) receptor agonists.

resultsAmong 115,308 members with T2DM, the most common comorbidities were cardiovascular risk factors, including hyperlipidemia (56%), hypertension (50%), and existing cardiovascular disease (CVD; 55%). Among members receiving dual antidiabetic treatment (n = 20,204), the most prevalent treatments were metformin plus the following second-line medications: SUs (42%), DPP-4 inhibitors (29%), SGLT-2 inhibitors (10%), or GLP-1 receptor agonists (3%). Approximately 20% of members accounted for 79% of total cost of care, with an average of $9,605 per member per year (PMPY). Compared with SU initiation and after propensity score decile adjustment, new users of SGLT-2 inhibitors had a reduced risk for HF hospitalization (HR = 0.35, 95% CI = 0.13-0.89), hypoglycemia, albuminuria, microvascular disease, and metabolic failure. Among SGLT-2 inhibitor initiators with established CVD, the savings in total cost of care compared with SU initiators was $5,520 per member over an average treatment duration of 6 months and an approximate savings of $11,000 PMPY if patients persisted on treatment for 12 months.

conclusionsIn the Horizon membership, we confirmed that SGLT-2 inhibitors reduce HF hospitalizations, resulting in reduced medical spending and savings in total cost of care. Regulatory-grade analytics of local data provided the confidence to encourage increased SGLT-2 inhibitor use to produce better outcomes and save total cost of care despite higher pharmacy spending. DISCLOSURES: This research did not receive outside funding; however, Aetion has since begun a contractual relationship with Horizon Blue Cross Blue Shield of New Jersey. Garry, Petruski-Ivleva, Cheever, and Rajan are employees of and have stock options in Aetion, a company that makes software for the analysis of real-world data. Eapen was an employee of Aetion during the implementation of this study. Rassen is an employee of and has ownership interest in Aetion. Murk is a consultant to Aetion of which he owns equity. Schneeweiss is a consultant to WHISCON and to Aetion, of which he also owns equity. He is the principal investigator of investigator-initiated grants to the Brigham and Women's Hospital from Bayer, Genentech, Boehringer Ingelheim, and Vertex. Gambino is an employee and officer at Horizon Blue Cross and Blue Shield of New Jersey. He was recently appointed to a board observer position at Aetion, as Horizon has small equity interest in Aetion. Jan is an employee of Rutgers State University and Horizon Blue Cross Blue Shield of New Jersey and has no conflict of interest or association with Aetion or any pharmaceutical company. Jang and Rubin are employees of Horizon Blue Cross and Blue Shield of New Jersey and have no conflict of interest or association with Aetion. This work was presented as a poster at AMCP Nexus 2018, October 22-25, 2018, in Orlando, FL; as part of a continuing education session at the AMCP Managed Care & Specialty Pharmacy 2019 Annual Meeting in San Diego, CA, March 25-28, 2019; as invited podium presenter at the Blue Cross Blue Shield 2019 National Summit conference in Grapevine, TX, April 29-May 2, 2019; and was accepted for a podium presentation at the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) 2019 annual conference in New Orleans, LA, May 18-22, 2019, where it won an award for Best Podium Presentation.

Indexed as

Diabetes Mellitus, Type 2Drug CostsFemaleHumansHypoglycemic AgentsLongitudinal StudiesMaleManaged Care ProgramsMiddle AgedHypoglycemic Agents

Identifiers

PMID31778623
PMCPMC10398080
OpenAlexW2989892351

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.