Evidence map›Paper›PMID 29346472›Full record

ArticleJAMA ophthalmology2018

A Revised Estimate of Costs Associated With Routine Preoperative Testing in Medicare Cataract Patients With a Procedure-Specific Indicator.

Catherine L Chen, Theodore H Clay, Stephen McLeod, Han-Ying Peggy Chang, Adrian W Gelb, R Adams Dudley

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in JAMA ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06506669 (Comparing Two Normal Approaches to Procedural Sedation for Cataract Surgery), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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.

NCT06506669 nacompletednot on this mapstarted 2024, after this paper: background citation

Comparing Two Normal Approaches to Procedural Sedation for Cataract Surgery: A Prospective, Feasibility Pilot Study

TypeinterventionalSponsorUniversity of California, San FranciscoRan2024 to 2025Enrolled23ConditionsCataract, Bilateral Senile Cataract, Anesthesia, Patient SatisfactionArmsOral sedation, Placebo
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Catherine L ChenPhilip R. Lee Institute for Health Policy Studies, School of Medicine, University of California, San Francisco.
Theodore H ClayClay Software and Statistics, Ashland, Oregon.
Stephen McLeodDepartment of Ophthalmology, University of California, San Francisco.
Han-Ying Peggy ChangMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston.
Adrian W GelbDepartment of Anesthesiology and Perioperative Care, University of California, San Francisco.
R Adams DudleyPhilip R. Lee Institute for Health Policy Studies, School of Medicine, University of California, San Francisco.
University of California, San Francisco · USAshland (United States) · USLee University · USMassachusetts Eye and Ear Infirmary · US

Funding

Comprehensive Anesthesia Research TrainingT32GM008440 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Judith Hellman · 1996 to 2026
$5.5M
NIGMS NIH HHS T32 GM008440
6 · The paper itself

Abstract

Importance: Routine preoperative medical testing is not recommended for patients undergoing low-risk surgery, but testing is common before surgery. A 30-day preoperative testing window is conventionally used for study purposes; however, the extent of routine testing that occurs prior to that point is unknown. Objective: To improve on existing cost estimates by identifying all routine preoperative testing that takes place after the decision is made to perform cataract surgery. Design, Setting, and Participants: This cross-sectional study assessed preoperative care in a 50% sample of Medicare beneficiaries older than 66 years who underwent ambulatory cataract surgery in 2011. Data analysis was completed from March 2016 to October 2017. Main Outcomes and Measures: Using ocular biometry as a procedure-specific indicator to mark the start of the routine preoperative testing window, we measured testing rates in the interval between ocular biometry and cataract surgery and compared this with testing rates in the 6 months preceding biometry. We estimated the total cost of testing that occurred between biometry and cataract surgery. Results: A total of 440 857 patients underwent cataract surgery. A total of 423 710 (96.1%) had an ocular biometry claim before index surgery, of whom 264 514 (60.0%) were female; the mean (SD) age of the cohort was 76.1 (6.2) years. A total of 111 998 (25.4%) underwent surgery more than 30 days after biometry. Among patients with a biometry claim, the mean number of tests/patient/month increased from 1.1 in the baseline period to 1.7 in the interval between biometry and cataract surgery. Although preoperative testing peaked in all patients in the 30 days preceding surgery (1.8 tests/patient/month), the subset of patients with no overlap between postbiometry and presurgery periods experienced increased testing rates to 1.8 tests per patient per month in the 30 days after biometry, regardless of the elapsed time between biometry and surgery. The total estimated cost of routine preoperative testing in the full cohort was $22.7 million; we estimate that routine preoperative testing costs Medicare up to $45.4 million annually. Conclusions and Relevance: In this study of Medicare beneficiaries, routine preoperative medical testing occurs more often and is costlier than has been reported previously. Extra costs are attributable to testing that occurs prior to the 30-day window preceding surgery. As a cost-cutting measure, routine preoperative medical testing should be avoided in patients with cataracts throughout the interval between ocular biometry and cataract surgery.

Indexed as

Health Care CostsAgedAged, 80 and overAmbulatory CareBiometryCataract ExtractionCost SavingsCross-Sectional StudiesDatabases, FactualDiagnostic Tests, RoutineFemaleHumansMaleMedicarePractice Patterns, Physicians'Preoperative Care

Identifiers

PMID29346472
PMCPMC5885904
OpenAlexW2787491408

What OpenQuestion holds

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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.