Measuring selective admissions in nursing homes

Last registered on May 18, 2026

Pre-Trial

Trial Information

General Information

Title
Measuring selective admissions in nursing homes
RCT ID
AEARCTR-0018639
Initial registration date
May 13, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
May 18, 2026, 7:18 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
J-PAL NA

Other Primary Investigator(s)

PI Affiliation
MIT
PI Affiliation
MIT
PI Affiliation
Stanford
PI Affiliation
Stanford

Additional Trial Information

Status
On going
Start date
2025-03-13
End date
2029-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We conducted a nursing home audit study from March to August 2025, investigating the impact of race, payer, and medical condition on admissions inquiries in 3,000 US nursing homes.
In addition to understanding how nursing availability varies by payer, race, and medical condition, the project will (1) investigate heterogeneity in these availability gaps across contexts (such as by nursing home quality; local or facility demographics; the payment gap between Medicaid and private pay; and occupancy rates); (2) embed the results in a model of constrained choice to quantify the role of selective admissions in contributing to observed differences in nursing home attendance patterns; and . The results of the research will aid in our understanding of the role of nursing home admissions practices in contributing to the significant, observed differences in the quality of care received across different groups.

Note -- this trial was preregistered on the OSF registry and embargoed during implementation. The study is now also registered on the AEA registry. Details here reflect the current webform-based version of the study, not the email-based version anticipated in the preregistration. The complete preregistration on OSF can be found here: https://osf.io/esdnt/
External Link(s)

Registration Citation

Citation
Einav, Liran et al. 2026. "Measuring selective admissions in nursing homes." AEA RCT Registry. May 18. https://doi.org/10.1257/rct.18639-1.0
Experimental Details

Interventions

Intervention(s)
Using on-line contact forms on nursing home websites, we submitted fictitious inquiries asking about availability to approximately 3,000 nursing homes, experimentally varying the patient’s payer (Private, Medicaid, or unstated), medical condition (focusing on Alzheimer's vs other conditions) and perceived race (Black or white). Inquiries come from daughters inquiring about placement for their elderly mother. Names and email addresses signal race, while payer and medical condition are signaled in the message content.
Intervention Start Date
2025-03-13
Intervention End Date
2025-08-28

Primary Outcomes

Primary Outcomes (end points)
Availability, defined as a response that did not indicate a lack of availability (in other words, either a positive or neutral response, which we term non-negative availability).
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Any response; number of responses received within 30 days (a proxy for nursing home's eagerness to reach the patient); positive sentiment (tone).
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We conduct an audit study wherein we send fictitious inquiries to nursing homes and measure outcomes based on the responses we receive. We use a 2x3x4 factorial design that includes race (Black or white); payer status (Medicaid, private pay, or unspecified); and four different vignettes for different medical conditions (focusing on Alzheimer's vs other conditions).

Each inquiry to a nursing home involves a daughter seeking admission to a nursing home from the community on behalf of her elderly mother. The inquiry includes a vignette describing the mother’s (randomly varied) condition and payer status; it also includes mother and daughter’s (randomly varied), racially concordant names and ask if a bed is available. To preserve power and limit the treatment space, we included only inquiries from and on behalf of women, removing the possibility of gender effects in the study. We focus on women because the majority of nursing home residents are women, and because adult daughters tend to take on a greater proportion of elder care responsibilities (Grigoryeva 2017).

We attempted to send inquiries to nursing homes that accept patients from the community and that have online contact forms (our mode of sending inquiries). We formed this target sample using the Centers for Medicare & Medicaid Services June 2024 Provider Information nursing home dataset, a publicly available list of all active, certified nursing facilities in the United States.
Experimental Design Details
Not available
Randomization Method
We assigned each facility in our sample to receive two inquiries, to be delivered over two study implementation rounds (as well as a small pilot). Round one inquiries were constructed using independent, simple random assignment of race (Black or white assigned with equal probability), payer (Medicaid, private, unspecified assigned with equal probability), and medical vignette (one of 16 possibilities, with four each corresponding to the four core vignettes, again with equal probability). Within race, we randomly assigned one of eight possible name pairs with equal probability. Round two inquiries were constructed using random assignments conditional on not repeating the same payer, race, or vignette treatment used for that facility in round one.
Randomization Unit
Random assignment was done at the facility-inquiry level, conditional on prior assignments for that facility
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
3000 nursing home facilities
Sample size: planned number of observations
6000 observations at the inquiry level
Sample size (or number of clusters) by treatment arms
All treatments randomized using simple random assignment in equal proportions.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Committee on the use of human as experimental subjects
IRB Approval Date
2023-12-14
IRB Approval Number
2311001166
Analysis Plan

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