Evidence map›Paper›PMID 37656472›Full record

ArticleJAMA health forum2023

Weighted Lottery to Equitably Allocate Scarce Supply of COVID-19 Monoclonal Antibody.

Erin K McCreary, Utibe R Essien, Chung-Chou H Chang, Rachel A Butler, Parag Pathak, Tayfun Sönmez, M Utku Ünver, Ashley Steiner, Maddie Chrisman, Derek C Angus and 1 more

Abstract read
In one paragraph

Article in JAMA health forum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Lottery or Triage? Controlled Experimental Evidence from the COVID-19 Pandemic on Public Preferences for Allocation of Scarce Medical Resources.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Erin K McCrearyDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Utibe R EssienDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles.
Chung-Chou H ChangDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Rachel A ButlerProgram on Ethics and Decision Making in Critical Illness, CRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Parag PathakDepartment of Economics, Massachusetts Institute of Technology, Cambridge.
Tayfun SönmezDepartment of Economics, Boston College, Chestnut Hill, Massachusetts.
M Utku ÜnverDepartment of Economics, Boston College, Chestnut Hill, Massachusetts.
Ashley SteinerDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Maddie ChrismanWolff Center for Quality and Safety, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Derek C AngusDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Douglas B WhiteDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Funding

Mentored Patient Oriented Research in Improving Surrogate Decision Making for Patients with Advanced Respiratory FailureK24HL148314 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Douglas B White · 2019 to 2026
$944k
NHLBI NIH HHS K24 HL148314
6 · The paper itself

Abstract

Importance: Equitable allocation of scarce medications is an important health policy goal. There are few data about attempts to achieve equitable allocation in the community setting. Objective: To describe the development and use of a weighted lottery to allocate a scarce supply of tixagevimab with cilgavimab as preexposure prophylaxis to COVID-19 for immunocompromised individuals and examine whether this promoted equitable allocation to disadvantaged populations. Design, Setting, and Participants: This quality improvement study analyzed a weighted lottery process from December 8, 2021, to February 23, 2022, that assigned twice the odds of drug allocation of 450 tixagevimab with cilgavimab doses to individuals residing in highly disadvantaged neighborhoods according to the US Area Deprivation Index (ADI) in a 35-hospital system in Pennsylvania, New York, and Maryland. In all, 10 834 individuals were eligible for the lottery. Weighted lottery results were compared with 10 000 simulated unweighted lotteries in the same cohort performed after drug allocation occurred. Main Outcomes: Proportion of individuals from disadvantaged neighborhoods and Black individuals who were allocated and received tixagevimab with cilgavimab. Results: Of the 10 834 eligible individuals, 1800 (16.6%) were from disadvantaged neighborhoods and 767 (7.1%) were Black. Mean (SD) age was 62.9 (18.8) years, and 5471 (50.5%) were women. A higher proportion of individuals from disadvantaged neighborhoods was allocated the drug in the ADI-weighted lottery compared with the unweighted lottery (29.1% vs 16.6%; P < .001). The proportion of Black individuals allocated the drug was greater in the weighted lottery (9.1% vs 7.1%; P < .001). Among the 450 individuals allocated tixagevimab with cilgavimab in the ADI-weighted lottery, similar proportions of individuals from disadvantaged neighborhoods accepted the allocation and received the drug compared with those from other neighborhoods (27.5% vs 27.9%; P = .93). However, Black individuals allocated the drug were less likely to receive it compared with White individuals (3 of 41 [7.3%] vs 118 of 402 [29.4%]; P = .003). Conclusions and Relevance: The findings of this quality improvement study suggest an ADI-weighted lottery process to allocate scarce resources is feasible in a large health system and resulted in more drug allocation to and receipt of drug by individuals who reside in disadvantaged neighborhoods. Although the ADI-weighted lottery also resulted in more drug allocation to Black individuals compared with an unweighted process, they were less likely to accept allocation and receive it compared with White individuals. Further strategies are needed to ensure that Black individuals receive scarce medications allocated.

Indexed as

Antibodies, MonoclonalCOVID-19Healthcare DisparitiesBlack or African AmericanFemaleHealth PolicyHealth ResourcesHospitalsHumansMaleMiddle AgedAntibodies, Monoclonal

Identifiers

PMID37656472
PMCPMC10474557

What OpenQuestion holds

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Registered trials

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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.