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Estimating the Impact of Obesity Medications on Clinical and Economic Outcomes

8. juni 2026 oppdatert av: Joshua R. Vest, PhD, Indiana University

The goal of this observational study is to identify the impact of incretin-based obesity medications (e.g., GLP-1 and GLP-1/GIP) on health and economic outcomes among adults who get their health insurance through their employers. The main questions it aims to answer are:

  1. Is obesity medication usage is associated with reduced body mass index (BMI) and weight?
  2. Is obesity medication usage is associated with reduced utilization of emergency department and inpatient care or obesity-related conditions over time?
  3. Is obesity medication usage is associated with increased utilization of outpatient care over time?
  4. Is obesity medication usage is associated with slower growth in direct medical costs over time?
  5. Is obesity medication usage is associated with improvements in health measures?
  6. Is obesity medication usage associated with reduced workplace costs?

Researchers will compare individuals who have prescriptions for obesity medications to those without to see if differences in health and costs of care exist.

The study uses existing medical and pharmacy claims data.

Studieoversikt

Status

Påmelding etter invitasjon

Forhold

Intervensjon / Behandling

Detaljert beskrivelse

Incretin-based therapies that work by mimicking the action of the natural hormone GLP-1 and GLP-1/GIP have garnered the most excitement and demonstrated promising results in the management of obesity. This project seeks to estimate the impact of incretin-based obesity medications on clinical and economic outcomes in real-world settings. It proposes to fill gaps in the current literature by focusing on patients from self-insured organizations, measuring direct and indirect costs, establishing a long-term cohort, and by merging claims with electronic health record (EHR) data for more comprehensive measures.

The impact of incretin-based obesity medications on clinical and economic outcomes will be assessed in a dynamic cohort design. The cohort will be drawn from the employees and their working age dependents of large, self-insured (or "self-funded") organizations in the state of Indiana (i.e., "employers"). Employer organizations agreeing to participate will provide medical and pharmacy claims as well as data on workplace performance (if available) from 2018-2029. The primary exposure of interest is documented receipt of any GLP-1 obesity medication (regardless of manufacturer or brand name). A series of fixed-effects regression models will estimate the association between exposure to incretin-based obesity medications and clinical, utilization, and cost outcomes. This dynamic cohort approach, 1) individuals and participating employer organizations may enter and exit the cohort over time and 2) individuals may switch between on or off exposure over time.

Studietype

Observasjonsmessig

Registrering (Antatt)

125000

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiesteder

  • Forente stater
    • Indiana
      • Indianapolis, Indiana, Forente stater, 46203
        • Indiana University

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen

Tar imot friske frivillige

Nei

Prøvetakingsmetode

Ikke-sannsynlighetsprøve

Studiepopulasjon

Working-age adults and their adult dependents who receive their health insurance coverage from participating, self-insured Indiana employers.

Beskrivelse

The study cohort is limited to employees and adult dependents aged 18-64 who receive their health insurance coverage from self-insured Indiana employers that agree to participate in the study.

To be included in the study, the individuals must:

  1. Be an Indiana resident;
  2. Have health insurance benefits provided by participating employers (includes employees and dependents);
  3. Be between the ages of 18 and 64;

  4. Meet the eligibility criteria for an obesity medication prescription:

    1. BMI of ≥ 30 (obesity) or
    2. BMI of ≥ 25 (overweight) and at least one body weight-related comorbid condition (e.g., hypertension, dyslipidemia, type 2 diabetes mellitus, obstructive sleep apnea, or cardiovascular disease). If the prescribing eligibility criteria are updated in the future, we will update accordingly.
  5. Individuals must have at least 6 months of enrollment prior to study inclusion (i.e., prior to the index date), though we may use additional pre-treatment data if available.

An individual who meets any of the following criteria will be excluded from participation in the cohort:

  1. Has a condition associated with weight loss: a diagnosis of cancer (except for non-melanoma skin cancer), pancreatitis, eating disorders (e.g., anorexia nervosa and avoidant restrictive food intake disorder), HIV, unintentional weight loss, or cirrhosis at baseline;
  2. Has a condition for which obesity medications are contraindicated (for example, medullary thyroid carcinoma, multiple endocrine neoplasia, etc.).
  3. Receipt of diabetes-indicated incretin-based medications. If an individual has a claim for a related incretin-based therapy diabetes medication (e.g., Mounjaro, Ozempic, Rybelsus, Victoza) without an obesity-medication claim during the study period, the individual will be excluded from analysis.
  4. Prior bariatric surgery.
  5. Evidence of prior use of incretin-based obesity medications for weight loss.

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

Kohorter og intervensjoner

Gruppe / Kohort
Intervensjon / Behandling
Persistent use of incretin-based obesity medication
Persistent use is defined as continuous treatment with no gaps greater than 60 days between prescription fills. Discontinuation is defined as a gap exceeding 60 days following the expected end date of a prescription fill (based on days' supply). Exposure will be measured longitudinally from the index date until discontinuation or censoring. Days of supply will be calculated from pharmacy claims, and we will account for stockpiling by allowing early refills to extend coverage forward in time. If days' supply is missing, it will be imputed using prescribing guidelines or external data sources.
Legemiddel: Incretin-based therapies (GLP-1 and GLP-1/GIP)
Documented receipt of any GLP-1 and GLP-1/GIP obesity medication during an observation period.
Andre navn:
  • Liraglutid
  • Saxenda
  • Wegovy
  • Semaglutid
  • Zepbound
  • Tirzepatid
No documented receipt of incretin-based obesity medication during observation period
Working-age adults (age 18 to 64) insured by participating Indiana-based employers that do not use any incretin-based obesity medication for weight loss. Identified by no claim for obesity medications (accounting for days supply and available refills).

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Change in subject body weight.
Tidsramme: 6 months periods from 2018 to 2029
Measured in pounds.
6 months periods from 2018 to 2029
Change in subject body mass index (BMI).
Tidsramme: 6 months periods from 2018 to 2029
Defined as Weight (kg) / height (m)2.
6 months periods from 2018 to 2029
Change in obesity and overweight classification.
Tidsramme: 6 months periods from 2018 to 2029
Body mass index categorized according to Centers for Disease Control & Prevention groupings (i.e., normal, overweight, class 1 obesity, class 2 obesity, class 3 obesity)
6 months periods from 2018 to 2029

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Change in emergency department visits.
Tidsramme: 6 months periods from 2018 to 2029
Total visits
6 months periods from 2018 to 2029
Change in obesity-related emergency department visits.
Tidsramme: 6 months periods from 2018 to 2029
Visit with obesity-related diagnosis code (E66.1-E66.3, Z68.30-768.45), metabolic syndrome, type 2 diabetes, chronic kidney disease, cardiovascular disease, osteoarthritis of the knee, depression, anxiety, metabolic dysfunction-associated steatohepatitis, nonalcoholic fatty liver disease & steatohepatitis, obstructive sleep apnea, hyperlipidemia, hypertension, cerebrovascular disease, asthma, gastroesophageal reflux disease (GERD), or chronic obstructive pulmonary disease (COPD).
6 months periods from 2018 to 2029
Change in non-obesity related emergency department visits.
Tidsramme: 6 months periods from 2018 to 2029
Visit without any of the following: obesity-related diagnosis code (E66.1-E66.3, Z68.30-768.45), metabolic syndrome, type 2 diabetes, chronic kidney disease, cardiovascular disease, osteoarthritis of the knee, depression, anxiety, metabolic dysfunction-associated steatohepatitis, nonalcoholic fatty liver disease & steatohepatitis, obstructive sleep apnea, hyperlipidemia, hypertension, cerebrovascular disease, asthma, gastroesophageal reflux disease (GERD), or chronic obstructive pulmonary disease (COPD).
6 months periods from 2018 to 2029
Change in preventable emergency department visits.
Tidsramme: 6 months periods from 2018 to 2029

Preventable visits include those that are:

  1. non-emergent (the patient's initial complaint, presenting symptoms, vital signs, medical history, and age indicated that immediate medical care was not required within 12 hours), or
  2. emergent/primary care treatable (based on information in the record, treatment was required within 12 hours, but care could have been provided effectively and safely in a primary care setting. The complaint did not require continuous observation, and no procedures were performed or resources used that are not available in a primary care setting), or
  3. preventable/avoidable (Emergency department care was required based on the complaint or procedures performed/resources used, but the emergent nature of the condition was potentially preventable/avoidable if timely and effective ambulatory care had been received during the episode of illness).
6 months periods from 2018 to 2029
Change in non-preventable emergency department visits.
Tidsramme: 6 months periods from 2018 to 2029
Non-preventable visits are defined as emergency department care was required and ambulatory care treatment could not have prevented the condition.
6 months periods from 2018 to 2029
Change in inpatient admissions.
Tidsramme: 6 months periods from 2018 to 2029
Total number of distinct hospitalizations (i.e. admissions).
6 months periods from 2018 to 2029
Change in obesity-related inpatient admissions.
Tidsramme: 6 months periods from 2018 to 2029
Total hospitalizations with obesity-related diagnosis code (E66.1-E66.3, Z68.30-768.45), metabolic syndrome, type 2 diabetes, chronic kidney disease, cardiovascular disease, osteoarthritis of the knee, depression, anxiety, metabolic dysfunction-associated steatohepatitis, nonalcoholic fatty liver disease & steatohepatitis, obstructive sleep apnea, hyperlipidemia, hypertension, cerebrovascular disease, asthma, gastroesophageal reflux disease (GERD), or chronic obstructive pulmonary disease (COPD).
6 months periods from 2018 to 2029
Change in non-obesity-related inpatient admissions.
Tidsramme: 6 months periods from 2018 to 2029
Total hospitalizations without obesity-related diagnosis code (E66.1-E66.3, Z68.30-768.45), metabolic syndrome, type 2 diabetes, chronic kidney disease, cardiovascular disease, osteoarthritis of the knee, depression, anxiety, metabolic dysfunction-associated steatohepatitis, nonalcoholic fatty liver disease & steatohepatitis, obstructive sleep apnea, hyperlipidemia, hypertension, cerebrovascular disease, asthma, gastroesophageal reflux disease (GERD), or chronic obstructive pulmonary disease (COPD).
6 months periods from 2018 to 2029
Change in inpatient admissions that began in the emergency department.
Tidsramme: 6 months periods from 2018 to 2029
Total hospitalizations where the subject was admitted from the emergency department.
6 months periods from 2018 to 2029
Change in direct admit inpatient admissions
Tidsramme: 6 months periods from 2018 to 2029
Total hospitalizations that were admitted directly from the community, i.e. not transferred from the emergency department.
6 months periods from 2018 to 2029
Change in 30 day inpatient readmissions.
Tidsramme: 6 months periods from 2018 to 2029
Count of hospital admissions (to any facility) occurring within 30 days of a hospital stay.
6 months periods from 2018 to 2029
Change in outpatient visits.
Tidsramme: 6 months periods from 2018 to 2029
Any in-person office visits with primary care, family medicine, internal medicine, or any specialty (including behavioral health); excludes phone visits. Total visits, as well as separated by obesity-related vs non-obesity related.
6 months periods from 2018 to 2029
Change in obesity-related outpatient visits.
Tidsramme: 6 months periods from 2018 to 2029

Total in-person office visits with primary care, family medicine, internal medicine, or any specialty (including behavioral health) with any of the following: obesity-related diagnosis code (E66.1-E66.3, Z68.30-768.45), metabolic syndrome, type 2 diabetes, chronic kidney disease, cardiovascular disease, osteoarthritis of the knee, depression, anxiety, metabolic dysfunction-associated steatohepatitis, nonalcoholic fatty liver disease & steatohepatitis, obstructive sleep apnea, hyperlipidemia, hypertension, cerebrovascular disease, asthma, gastroesophageal reflux disease (GERD), or chronic obstructive pulmonary disease (COPD).

Excludes: phone visits.
6 months periods from 2018 to 2029
Change in non-obesity-related outpatient visits
Tidsramme: 6 months periods from 2018 to 2029

Total in-person office visits with primary care, family medicine, internal medicine, or any specialty (including behavioral health) without any of the following: obesity-related diagnosis code (E66.1-E66.3, Z68.30-768.45), metabolic syndrome, type 2 diabetes, chronic kidney disease, cardiovascular disease, osteoarthritis of the knee, depression, anxiety, metabolic dysfunction-associated steatohepatitis, nonalcoholic fatty liver disease & steatohepatitis, obstructive sleep apnea, hyperlipidemia, hypertension, cerebrovascular disease, asthma, gastroesophageal reflux disease (GERD), or chronic obstructive pulmonary disease (COPD).

Excludes: phone visits.
6 months periods from 2018 to 2029
Change in total medical spending.
Tidsramme: 6 months periods from 2018 to 2029
All medical costs paid (inpatient, outpatient, emergency department, and rehabilitation costs).
6 months periods from 2018 to 2029
Change in total pharmacy spending.
Tidsramme: 6 months periods from 2018 to 2029
All pharmacy costs paid.
6 months periods from 2018 to 2029
Change in total pharmacy spending excluding incretin-based medications.
Tidsramme: 6 months periods from 2018 to 2029
All pharmacy costs excluding the cost of incretin obesity medications
6 months periods from 2018 to 2029
Change in total spending on obesity-related complications
Tidsramme: 6 months periods from 2018 to 2029

All medical costs paid where the claim is associated with any of the following: obesity-related diagnosis code (E66.1-E66.3, Z68.30-768.45), metabolic syndrome, type 2 diabetes, chronic kidney disease, cardiovascular disease, osteoarthritis of the knee, depression, anxiety, metabolic dysfunction-associated steatohepatitis, nonalcoholic fatty liver disease & steatohepatitis, obstructive sleep apnea, hyperlipidemia, hypertension, cerebrovascular disease, asthma, gastroesophageal reflux disease (GERD), or chronic obstructive pulmonary disease (COPD).

Excludes: telehealth / phone visits.
6 months periods from 2018 to 2029

Andre resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Change in absenteeism.
Tidsramme: 6 months periods from 2018 to 2029
Total number of sick leave days (costs estimated from published estimates or salary information if available).
6 months periods from 2018 to 2029
Change in retention / turnover.
Tidsramme: 6 months periods from 2018 to 2029
Percent of employees that end employment for any reason.
6 months periods from 2018 to 2029
Change in disability claims.
Tidsramme: 6 months periods from 2018 to 2029
Total worker's compensation claims regardless of disability period.
6 months periods from 2018 to 2029
Change in clinical A1C laboratory values.
Tidsramme: 6 months periods from 2018 to 2029
hemoglobin A1C or HbA1c values
6 months periods from 2018 to 2029
Change in blood pressure laboratory values.
Tidsramme: 6 months periods from 2018 to 2029
Systolic and diastolic
6 months periods from 2018 to 2029
Change in cholesterol laboratory values.
Tidsramme: 6 months periods from 2018 to 2029
cholesterol blood test (a lipid panel or lipid profile
6 months periods from 2018 to 2029

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Sponsor

Indiana University

Samarbeidspartnere

Eli Lilly and Company

Etterforskere

  • Hovedetterforsker: Joshua R Vest, PhD, MPH, Indiana University

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

1. januar 2026

Primær fullføring (Antatt)

31. desember 2029

Studiet fullført (Antatt)

31. desember 2029

Datoer for studieregistrering

Først innsendt

3. juni 2026

Først innsendt som oppfylte QC-kriteriene

8. juni 2026

Først lagt ut (Faktiske)

10. juni 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

10. juni 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

8. juni 2026

Sist bekreftet

1. juni 2026

Mer informasjon

Begreper knyttet til denne studien

Nøkkelord

Ytterligere relevante MeSH-vilkår

Andre studie-ID-numre

  • 00855196
  • 26469 (Annen identifikator: Indiana University)

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

NEI

IPD-planbeskrivelse

Raw and derived data at the patient level will not be publicly posted due to our use of secondary data from privately held claims, electronic health records, and health information exchange systems. Because of data use restrictions among the participating employer organizations contributing claims to the analysis and because of the data use restrictions established by consortium agreements among the health system partners contributing EHR data to the project, patient-level data cannot be shared or disseminated beyond this project. Nevertheless, de-identified derived health information exchange data (only) at the patient-level used in this study may be shared with investigators whose formal requests are approved by the data owners. Requests can be sent to askRDS@regenstrief.org. Access to this data requires investigator support and a signed data access agreement between the Regenstrief Institute and the investigator's institution.

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Ja

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

produkt produsert i og eksportert fra USA

Ja

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

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