Evidence map›Paper›PMID 31705416›Full record

ArticleObesity surgery2020

A Longitudinal Analysis of Wait Times for Bariatric Surgery in a Publicly Funded, Regionalized Bariatric Care System.

Aristithes G Doumouras, Samantha Albacete, Aneetinder Mann, Scott Gmora, Mehran Anvari, Dennis Hong

Abstract read
PubMed Publisher
In one paragraph

Article in Obesity surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Resource utilization and disaggregated cost analysis of bariatric surgery in the Australian public healthcare system.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
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

6 authors.

Aristithes G DoumourasDepartment of Surgery, McMaster University, Hamilton, Ontario, Canada.
Samantha AlbaceteMichael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada.
Aneetinder MannDepartment of Surgery, McMaster University, Hamilton, Ontario, Canada.
Scott GmoraDepartment of Surgery, McMaster University, Hamilton, Ontario, Canada.
Mehran AnvariDepartment of Surgery, McMaster University, Hamilton, Ontario, Canada.
Dennis HongDepartment of Surgery, McMaster University, Hamilton, Ontario, Canada. dennishong70@gmail.com.ORCID 0000-0003-1792-1255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBariatric surgery is proven to be the most effective strategy for management of obesity and its related comorbidities. However, in Canada, patients awaiting bariatric surgery can be subjected to prolonged wait times, thereby subjecting them to increased morbidity and mortality, as well as decreased psychosocial well-being.

objectiveTo assess the factors associated with prolonged wait times for bariatric surgery within a publicly funded, provincial bariatric network.

methodsThis was a retrospective population-based study of all patients aged > 18 years who were referred for bariatric surgery from April 2009 to May 2015 using linked administrative databases to capture patient demographic data, socioeconomic variables, healthcare utilization, and institutional factors. The main outcome of interest was a wait time greater than 18 months. Multivariate logistic regression modeling was used to estimate odds ratios (OR) and 95% confidence intervals (CI).

resultsA total of 18,854 patients underwent bariatric surgery from April 2009 to December 2016, of which 2407 patients experienced wait times of > 18 months. On average, yearly wait times have increased for patients receiving surgery with wait times of 10.98 months (SD 5.48) in 2010 and 13.09 (SD 6.69) in 2016 (p < 0.001). Increasing age (OR 1.12, 95% CI 1.05-1.19, p = 0.0004), BMI (OR 1.08, 95% CI 1.04-1.11, p < 0.001), and male gender (OR 1.47, 95% CI 1.28-1.70, p < 0.001) were significantly associated with increased bariatric surgery wait times. Additionally, smoking status (OR 1.46, 95% CI 1.09-1.97, p = 0.0118) and obesity-related comorbidities particularly diabetes (OR 1.29, 95% CI 1.14-1.44, p < 0.001) and heart failure (OR 1.72, 95% CI 1.43-2.07, p < 0.001) were correlated with prolonged wait times for surgery. Socioeconomic variables including disability (OR 1.64, 95% CI 1.38-1.92, p < 0.001) and immigration status (OR 1.35, 95% 1.11-1.64, p = 0.003) were correlated with increased odds of longer wait times, as were regions with regionalized assessment and treatment centres (RATC) when referenced against centers of excellence (COEs) in number of days added with 20.45 (95% CI 13.20-27.70, p < 0.001).

conclusionWait times for bariatric surgery in a publicly funded, regionalized bariatric program are influenced by certain patient characteristics, socioeconomic variables, and institutional factors. This warrants further intervention and study to help improve these inequities when encountering potentially vulnerable populations awaiting bariatric surgery.

Indexed as

Bariatric SurgeryHealth Services AccessibilityWaiting ListsAdolescentAdultAgedCanadaComorbidityFemaleHumansLongitudinal StudiesMaleMiddle AgedObesity, MorbidPatient Acceptance of Health CarePublic Health AdministrationBariatric surgeryHealth care accessPopulation healthWait times

Identifiers

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.