Evidence map›Paper›PMID 25714906›Full record

ArticlePopulation health management2015

Cost-Effectiveness of Global Endometrial Ablation vs. Hysterectomy for Treatment of Abnormal Uterine Bleeding: US Commercial and Medicaid Payer Perspectives.

Jeffrey D Miller, Gregory M Lenhart, Machaon M Bonafede, Andrea S Lukes, Shannon K Laughlin-Tommaso

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Population health management, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 1 country.

Jeffrey D Miller1 Truven Health Analytics , Cambridge, Massachusetts.
Gregory M Lenhart1 Truven Health Analytics , Cambridge, Massachusetts.
Machaon M Bonafede1 Truven Health Analytics , Cambridge, Massachusetts.
Andrea S Lukes2 Carolina Women's Research and Wellness Center , Durham, North Carolina.
Shannon K Laughlin-Tommaso3 Department of Obstetrics & Gynecology, Mayo Clinic , Rochester, Minnesota.
Truven Health Analytics (United States) · USCarolina Women's Research and Wellness Center · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cost-effectiveness modeling studies of global endometrial ablation (GEA) for treatment of abnormal uterine bleeding (AUB) from a US perspective are lacking. The objective of this study was to model the cost-effectiveness of GEA vs. hysterectomy for treatment of AUB in the United States from both commercial and Medicaid payer perspectives. The study team developed a 1-, 3-, and 5-year semi-Markov decision-analytic model to simulate 2 hypothetical patient cohorts of women with AUB-1 treated with GEA and the other with hysterectomy. Clinical and economic data (including treatment patterns, health care resource utilization, direct costs, and productivity costs) came from analyses of commercial and Medicaid claims databases. Analysis results show that cost savings with simultaneous reduction in treatment complications and fewer days lost from work are achieved with GEA versus hysterectomy over almost all time horizons and under both the commercial payer and Medicaid perspectives. Cost-effectiveness metrics also favor GEA over hysterectomy from both the commercial payer and Medicaid payer perspectives-evidence strongly supporting the clinical-economic value about GEA versus hysterectomy. Results will interest clinicians, health care payers, and self-insured employers striving for cost-effective AUB treatments.

Indexed as

Direct Service CostsInsurance, HealthMedicaidCost-Benefit AnalysisDecision TreesEndometrial Ablation TechniquesFemaleHumansHysterectomyUnited StatesUterine Hemorrhage

Identifiers

PMID25714906
PMCPMC4675184
OpenAlexW2314313179

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.