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Nudging Teams toward Cost-Effective Health Care: Evidence from a Field Experiment in Surgery

Last registered on March 28, 2022

Pre-Trial

Trial Information

General Information

Title
Nudging Teams toward Cost-Effective Health Care: Evidence from a Field Experiment in Surgery
RCT ID
AEARCTR-0009153
Initial registration date
March 28, 2022

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
March 28, 2022, 7:17 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
Hebrew University of Jerusalem

Other Primary Investigator(s)

PI Affiliation
Bar Ilan University
PI Affiliation
University of Pennsylvania
PI Affiliation
Bar Ilan University

Additional Trial Information

Status
In development
Start date
2022-01-16
End date
2023-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Can non-financial incentives promote cost-effective health care in contexts where worker incentives cannot be fully aligned with those of their employers? If so, given that healthcare is provided in teams of specialized workers, to whom should such incentives be directed? We implement a field experiment in the leading public hospital in Israel to investigate whether nudges can motivate surgical teams to reduce wasteful spending without sacrificing quality of care. Our intervention consists of text messages containing encouragement as well as procedure-specific information on the median usage of disposable items. We randomly vary whether the surgeon, the circulating nurse, or both receive the message. We outline the mechanisms that might cause effects to differ depending on which combination of team members are treated. We exploit rich data on input use and patient outcomes to estimate treatment effects on both the cost and quality of care.
External Link(s)

Registration Citation

Citation
Ale-Chilet, Jorge et al. 2022. "Nudging Teams toward Cost-Effective Health Care: Evidence from a Field Experiment in Surgery." AEA RCT Registry. March 28. https://doi.org/10.1257/rct.9153-1.0
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Experimental Details

Interventions

Intervention(s)
The treatment for both surgeons and nurses will consist of three components. First, at the beginning of each OR shift (morning and afternoon), treated individuals who are scheduled to work the shift will receive a personally customized text message to their mobile phone. The message comprises a general nudge and procedure specific information. The nudge reads “Dear Dr./Nurse X, For the surgeries this morning we remind you to avoid unnecessarily opening disposable equipment”. The procedure-specific information is a list of the planned procedures for the shift and for each procedure a recommended threshold (quantity) of input use for three candidate inputs. The threshold is the median quantity of that input used in the procedure in the 24 months preceding the experiment and approved by the medical professionals on the research team. Second, treated individuals have access to a website that includes a table of thresholds for all candidate inputs. Staff can use this website to check thresholds for inputs that are not included in the message, or when changes in scheduled surgeries occur and no messages are sent. The access to the threshold website is regulated by e-mail and password with access granted only to treated staff. The final component of the treatment is a bi-weekly feedback email, sent to treated surgeons and nurses, containing information on the candidate inputs actually used during the surgeries they conducted over the last 14 days, compared to the recommended amounts.

For details on how we chose candidate inputs, please see the pre-analysis plan.
Intervention Start Date
2022-04-10
Intervention End Date
2022-10-28

Primary Outcomes

Primary Outcomes (end points)
input use (deviations from the recommendation), quality of care
Primary Outcomes (explanation)
Our main indicator of input use is deviations from the recommendation. Specifically, in addition to computing the median use of each input at the procedure level using baseline data, we also compute the standard deviation. Then, for each operation and input during the experiment, we compute how many standard deviations above (or below) the median input use was.

We use four indicators of quality of care: an indicator for surgery complication, re-surgery in the same department within 7 days, readmission to the same department of the hospital within 7 days, and death within 7 days. The indicator for surgery complication turns on if any of the following seven variables turns on: actual surgery time, transfer to cardiology department or ICU within 24 hours, imaging order after surgery, excess time in recovery ward, blood loss (hemoglobin levels after versus before surgery), kidney failure (creatinine levels after versus before surgery), and surgical site specific infection

Secondary Outcomes

Secondary Outcomes (end points)
See pre-analysis plan
Secondary Outcomes (explanation)
See pre-analysis plan

Experimental Design

Experimental Design
All nurses and all surgeons in the Operating Rooms department will be invited to participate in the study via individual “introductory meetings” with the Study Coordinators in the month prior to the start of the study. During the meeting, the Study Coordinator will administer a short baseline survey to all participating nurses and doctors, discussed in more detail below. After the baseline surveys are complete, we will conduct the randomization. Half of surgeons and half of nurses will be randomly assigned to the treatment group. This generates four types of teams: those with an untreated surgeon and an untreated nurse, those with just a treated surgeon, those with just a treated nurse, and those where both the surgeon and nurse are treated. The treatment period will last for ~9000 scheduled operations, which we estimate will take 6 months. At the end of the treatment period, we conduct an endline survey with nurses and surgeons.
Experimental Design Details
Randomization Method
The randomization will be done in the office by a computer. Details are specified in the pre-analysis plan.
Randomization Unit
Doctor and nurse level
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
110 nurses and 175 surgeons. This may change if some doctors and nurses do not consent to participate, which we will confirm when we complete the baseline survey.
Sample size: planned number of observations
9,000 scheduled operations plus any unscheduled operations that occurred during the time frame. (In case of additional waves of Covid-19, we might need to increase the the volume of surgeries to achieve balance across surgery types.)
Sample size (or number of clusters) by treatment arms
We will randomize such that 50% of nurses and 50% of doctors are treated. (This should amount to ~55 treated/untreated nurses, and ~87 treated/untreated surgeons, but the final numbers will depend on how many nurses/surgeons consent in the end.)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Chaim Sheba Medical Center, Helsinki Committee
IRB Approval Date
2022-02-02
IRB Approval Number
534677
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials