ArticleSurgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery2021
The role of health insurance characteristics in utilization of bariatric surgery.
Article in Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Body mass index impact on health care utilization among people with diabetes in Jeddah, Saudi Arabia.Frontiers in public health · 2026Article
- International expert consensus on surgery for type 2 diabetes mellitus.BMC endocrine disorders · 2025Review
- Long term cost outcomes among commercially insured patients undergoing bariatric surgical procedures.Obesity science & practice · 2024Article
- A qualitative analysis describing attrition from bariatric surgery to identify strategies for improving retention in patients who desire treatment.Surgical endoscopy · 2023Article
- Addressing insurance-related barriers to novel antiobesity medications: Lessons to be learned from bariatric surgery.Obesity (Silver Spring, Md.) · 2022Article
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
4 authors.
Funding
Abstract
backgroundBariatric surgery is underutilized in the United States.
objectiveTo examine temporal changes in patient characteristics and insurer type mix among adult bariatric surgery patients in southeastern Pennsylvania and to investigate the associations between payor type, insurance plan type, cost-sharing arrangements (among traditional Medicare beneficiaries), and bariatric surgery utilization.
settingPennsylvania Health Care Cost Containment Council's databases in southeastern Pennsylvania during 2014-2018.
methodsAll adult patients who underwent the most common types of bariatric surgery and a 1:1 matched sample of surgery patients and those who were eligible for surgery but did not undergo surgery were identified. Contingency tables, Pearson χ
resultsOver the 5 years, there was an increase in the proportion of Black individuals (37.1% in 2014 versus 43.0% in 2018), Hispanics (5.4% versus 8.0%), and Medicaid beneficiaries (19.2% in 2014 versus 28.5% in 2018) who underwent surgery. The odds of undergoing bariatric surgery based on payor type only between Medicare beneficiaries were statistically different (22% smaller odds) compared with privately insured individuals. There were significantly different odds of undergoing surgery based on insurance plan type within Medicare and private insurance payor categories. Individuals with traditional Medicare plans with no supplementary insurance and those with dual eligibility had smaller odds of undergoing surgery (42% and 32%, respectively) compared with those with private secondary insurance.
conclusionsInsurance plan design may be as important in determining the utilization of bariatric surgery as the general payor type after controlling for confounding socio-demographic factors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.