Evidence map›Paper›PMID 30907922›Full record

ArticleJAMA internal medicine2019

Evaluation of an Intervention to Reduce Low-Value Preoperative Care for Patients Undergoing Cataract Surgery at a Safety-Net Health System.

John N Mafi, Patricia Godoy-Travieso, Eric Wei, Malvin Anders, Rodolfo Amaya, Carmen A Carrillo, Jesse L Berry, Laura Sarff, Lauren Daskivich, Sitaram Vangala and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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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

14 authors at 4 institutions in 1 country.

John N MafiDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA (University of California, Los Angeles), Los Angeles.
Patricia Godoy-TraviesoDepartment of Quality, Patient Safety and Risk Management, Los Angeles County and University of Southern California Medical Center, Los Angeles.
Eric WeiDepartment of Quality, Patient Safety and Risk Management, Los Angeles County and University of Southern California Medical Center, Los Angeles.
Malvin AndersDepartment of Ophthalmology, Los Angeles County and University of Southern California Medical Center, Los Angeles.
Rodolfo AmayaDepartment of Anesthesiology, Los Angeles County and University of Southern California Medical Center, Los Angeles.
Carmen A CarrilloDivision of Geriatrics, David Geffen School of Medicine at UCLA, Los Angeles.
Jesse L BerryDepartment of Ophthalmology, Los Angeles County and University of Southern California Medical Center, Los Angeles.
Laura SarffDepartment of Quality, Patient Safety and Risk Management, Los Angeles County and University of Southern California Medical Center, Los Angeles.
Lauren DaskivichOphthalmology and Eye Health Programs, Los Angeles County Department of Health Services, Los Angeles, California.
Sitaram VangalaDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA (University of California, Los Angeles), Los Angeles.
Joseph LadapoDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA (University of California, Los Angeles), Los Angeles.
Emmett KeelerRAND Health, RAND Corporation.
Cheryl L DambergRAND Health, RAND Corporation.
Catherine SarkisianDivision of Geriatrics, David Geffen School of Medicine at UCLA, Los Angeles.
University of Southern California · USUniversity of California, Los Angeles · USRAND Corporation · USLos Angeles County Department of Health Services · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
The Effect of Nanoparticle Encapsulated Resveratrol on Treatment of PeriodontitisKL2TR001882 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2016 to 2026
$13.1M
NCATS NIH HHS KL2 TR001882NCATS NIH HHS UL1 TR001881
6 · The paper itself

Abstract

Importance: Preoperative testing for cataract surgery epitomizes low-value care and still occurs frequently, even at one of the nation's largest safety-net health systems. Objective: To evaluate a multipronged intervention to reduce low-value preoperative care for patients undergoing cataract surgery and analyze costs from various fiscal perspectives. Design, Setting, and Participants: This study took place at 2 academic safety-net medical centers, Los Angeles County and University of Southern California (LAC-USC) (intervention, n = 469) and Harbor-UCLA (University of California, Los Angeles) (control, n = 585), from April 13, 2015, through April 12, 2016, with 12 additional months (April 13, 2016, through April 13, 2017) to assess sustainability (intervention, n = 1002; control, n = 511). To compare pre- and postintervention vs control group utilization and cost changes, logistic regression assessing time-by-group interactions was used. Interventions: Using plan-do-study-act cycles, a quality improvement nurse reviewed medical records and engaged the anesthesiology and ophthalmology chiefs with data on overuse; all 3 educated staff and trainees on reducing routine preoperative care. Main Outcomes and Measures: Percentage of patients undergoing cataract surgery with preoperative medical visits, chest x-rays, laboratory tests, and electrocardiograms. Costs were estimated from LAC-USC's financially capitated perspective, and costs were simulated from fee-for-service (FFS) health system and societal perspectives. Results: Of 1054 patients, 546 (51.8%) were female (mean [SD] age, 60.6 [11.1] years). Preoperative visits decreased from 93% to 24% in the intervention group and increased from 89% to 91% in the control group (between-group difference, -71%; 95% CI, -80% to -62%). Chest x-rays decreased from 90% to 24% in the intervention group and increased from 75% to 83% in the control group (between-group difference, -75%; 95% CI, -86% to -65%). Laboratory tests decreased from 92% to 37% in the intervention group and decreased from 98% to 97% in the control group (between-group difference, -56%; 95% CI, -64% to -48%). Electrocardiograms decreased from 95% to 29% in the intervention group and increased from 86% to 94% in the control group (between-group difference, -74%; 95% CI, -83% to -65%). During 12-month follow-up, visits increased in the intervention group to 67%, but chest x-rays (12%), laboratory tests (28%), and electrocardiograms (11%) remained low (P < .001 for all time-group interactions in both periods). At LAC-USC, losses of $42 241 in year 1 were attributable to intervention costs, and 3-year projections estimated $67 241 in savings. In a simulation of a FFS health system at 3 years, $88 151 in losses were estimated, and for societal 3-year perspectives, $217 322 in savings were estimated. Conclusions and Relevance: This intervention was associated with sustained reductions in low-value preoperative testing among patients undergoing cataract surgery and modest cost savings for the health system. The findings suggest that reducing low-value care may be associated with cost savings for financially capitated health systems and society but also with losses for FFS health systems, highlighting a potential barrier to eliminating low-value care.

Indexed as

CataractHealth Care CostsQuality ImprovementAgedCaliforniaCapitation FeeCataract ExtractionCost SavingsDiagnostic Tests, RoutineElectrocardiographyFee-for-Service PlansFemaleHumansLogistic ModelsMaleMiddle Aged

Identifiers

PMID30907922
PMCPMC6503569
OpenAlexW2922835122

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.