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NUDGE-EHR Replication Trial at Mass General Brigham

Optimizing Electronic Health Record Prompts With Behavioral Economics to Improve Prescribing for Older Adults

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05538065
Acronym
NUDGE-EHR
Enrollment
201
Registered
2022-09-13
Start date
2022-11-10
Completion date
2024-06-15
Last updated
2025-05-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adverse Drug Event, Aging, Anticholinergic Adverse Reaction, Benzodiazepine Sedative Adverse Reaction

Keywords

Benzodiazepine, Sedative hypnotic, Overprescribing, Anticholinergic

Brief summary

Prescribing of potentially unsafe medications for older adults is extremely common; benzodiazepines and sedative hypnotics are, for example, key drug classes frequently implicated in adverse health consequences for vulnerable older adults, such as confusion or sedation, leading to hospitalizations, falls, and fractures. Fortunately, most of these consequences are preventable. Physicians' lack of awareness of alternatives, ambiguous practice guidelines, and perceived pressure from patients or caregivers are among the reasons why these drugs are used more than might be optimal. Reducing inappropriate use of these drugs may be achieved through decision support tools for providers that are embedded in electronic health record (EHR) systems. While EHR strategies are widely used to support the informational needs of providers, these tools have demonstrated only modest effectiveness at improving prescribing. The effectiveness of these tools could be enhanced by leveraging principles of behavioral economics and related sciences.

Detailed description

This is a cluster randomized control trial (RCT) to evaluate whether newly designed EHR-based tools designed using behavioral principles reduce inappropriate prescribing and adverse outcomes among older adults. This study will be conducted in outpatient primary care practices at Mass General Brigham (MGB), specifically Massachusetts General Hospital. MGB has a fully functional EHR, EpicCare, that supports computerized ordering of medications. MGB is comprised of 150 outpatient practices with over 1,800 physicians. In this trial, approximately 190 primary care providers at MGH will be randomized to receive usual care or an active intervention. Providers randomized to one of the 2 selected treatment arms will receive an EHR tool to guide their care of eligible patients. They will be followed for 12 months. Providers randomized to usual care will receive no newly-designed EHR tool. Providers will receive these EHR tools for their patients who meet the following criteria: 1) older adults (aged 65 years or more), and 2) who have been prescribed at least 90 pills of benzodiazepine or sedative hypnotic or have been prescribed at least one active orders of at least 90 pills of two different anticholinergics in the last 180 days.

Interventions

Once the order entry or open encounter alert displays, the provider will have the option to schedule a follow-up message that will be sent 4 weeks after the alert is triggered

A two-staged pre-commitment electronic health record alert will be used. In the 1st alert, the providers will be prompted to discuss risks of these high-risk medications and share a handout about the risks with their patients, at their own discretion. The second alert will be either an order entry or open encounter alert, depending on the arm the provider is assigned to.

An enhanced alert (known as a Best Practice Advisory \[BPA\]) will appear on the provider's electronic health record screen and will contain several standard components such as information about why the medication is dangerous for their patient and an order set that will allow providers to order a gradual dose taper for their patient, order alternative medications, place a referral to a behavioral health specialist, provide instructions on how to make lifestyle modifications to improve patient symptoms, and add patient instructions for how to gradually taper off benzodiazepines and sedative hypnotics, as applicable.

Sponsors

Massachusetts General Hospital
CollaboratorOTHER
National Institutes of Health (NIH)
CollaboratorNIH
National Institute on Aging (NIA)
CollaboratorNIH
Brigham and Women's Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Primary care provider at Mass General Brigham Providers will receive these EHR tools for their patients who meet the following criteria: 1. older adults (aged 65 years or more) 2. who have been prescribed at least 90 pills of benzodiazepine or sedative hypnotic in the last 180 days. Outcomes will be measured on the patient level.

Exclusion criteria

* N/A

Design outcomes

Primary

MeasureTime frameDescription
Change in Inappropriate PrescribingEach patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participantThis outcome is measured as a composite of 1) discontinuation of study high-risk medications (i.e., active discontinuation or lack of an order during follow-up) or 2) ordering a dose taper (for benzodiazepine or sedative hypnotics) using EHR data by the primary care provider included in the study arm. If any of these actions occurred by the primary care provider, then the patient was considered to have had a change in prescribing (i.e., a reduction in inappropriate prescribing). This outcome was measured as a binary outcome.

Secondary

MeasureTime frameDescription
Quantity of High-risk Medication PrescribedEach patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participantThis outcome is measured on the patient level as the number of pills of high-risk medications prescribed to patients by providers over the follow-up, measured within the EHR system. This outcome was measured as a continuous outcome.
Cumulative Lorazepam Milligram Equivalents PrescribedEach patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participantThis outcome is measured on the patient level as the number of lorazepam milligram equivalents of benzodiazepine and sedative hypnotic (Z-drug) prescribed to patients by providers over the follow-up, measured within the EHR system. This outcome was measured as a continuous outcome.

Countries

United States

Participant flow

Recruitment details

Primary care providers were cluster-randomized to these arms based on data available from the electronic health record and were not recruited directly for the trial or evaluated for effectiveness outcomes. Patients were also not intervened upon nor directly enrolled into the study. As such, we received a waiver of informed consent for participation.

Pre-assignment details

Primary care providers were identified from electronic health record data and cluster randomized to a study arm. Patients who sought care from these primary care providers were identified based on electronic health record data for analyses and are classified as the participants. Providers were not assessed for effectiveness outcomes.

Participants by arm

ArmCount
No Alert (Usual Care)
Providers randomized to usual care will receive no intervention.
396
Open Encounter + Pre-commitment
There will be an enhanced EHR alert, known as a Best Practice Advisory \[BPA\], which will appear on each provider's EHR screen. We will also test a two-staged pre-commitment BPA in which the providers are prompted to discuss risks of the high-risk medications and share a handout about risks with their patients. Pre-commitment: A two-staged pre-commitment electronic health record alert will be used. In the 1st alert, the providers will be prompted to discuss risks of these high-risk medications and share a handout about the risks with their patients, at their own discretion. The second alert will be either an order entry or open encounter alert, depending on the arm the provider is assigned to. Enhanced Alert: An enhanced alert (known as a Best Practice Advisory \[BPA\]) will appear on the provider's electronic health record screen and will contain several standard components such as information about why the medication is dangerous for their patient and an order set that will allow providers to order a gradual dose taper for their patient, order alternative medications, place a referral to a behavioral health specialist, provide instructions on how to make lifestyle modifications to improve patient symptoms, and add patient instructions for how to gradually taper off benzodiazepines and sedative hypnotics, as applicable.
394
Open Encounter + Follow-up Booster
There will be an enhanced EHR alert, known as a Best Practice Advisory \[BPA\], which will appear on each provider's EHR screen. We will add a boostering option in the enhanced BPA, which is a provider-directed option for a follow-up in-basket message sent 4 weeks after the BPA is triggered. Follow-up booster Alert: Once the order entry or open encounter alert displays, the provider will have the option to schedule a follow-up message that will be sent 4 weeks after the alert is triggered Enhanced Alert: An enhanced alert (known as a Best Practice Advisory \[BPA\]) will appear on the provider's electronic health record screen and will contain several standard components such as information about why the medication is dangerous for their patient and an order set that will allow providers to order a gradual dose taper for their patient, order alternative medications, place a referral to a behavioral health specialist, provide instructions on how to make lifestyle modifications to improve patient symptoms, and add patient instructions for how to gradually taper off benzodiazepines and sedative hypnotics, as applicable.
356
Total1,146

Baseline characteristics

CharacteristicNo Alert (Usual Care)Open Encounter + Pre-commitmentOpen Encounter + Follow-up BoosterTotal
Age, Continuous73.5 years
STANDARD_DEVIATION 6.4
73.7 years
STANDARD_DEVIATION 6.5
73.6 years
STANDARD_DEVIATION 6.5
73.6 years
STANDARD_DEVIATION 6.4
Ethnicity (NIH/OMB)
Hispanic or Latino
21 Participants26 Participants33 Participants80 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
364 Participants348 Participants306 Participants1018 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
11 Participants20 Participants17 Participants48 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants1 Participants1 Participants2 Participants
Race (NIH/OMB)
Asian
12 Participants11 Participants13 Participants36 Participants
Race (NIH/OMB)
Black or African American
12 Participants14 Participants10 Participants36 Participants
Race (NIH/OMB)
More than one race
12 Participants15 Participants25 Participants52 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants1 Participants1 Participants
Race (NIH/OMB)
Unknown or Not Reported
10 Participants6 Participants8 Participants24 Participants
Race (NIH/OMB)
White
350 Participants347 Participants298 Participants995 Participants
Sex: Female, Male
Female
275 Participants276 Participants248 Participants799 Participants
Sex: Female, Male
Male
121 Participants118 Participants108 Participants347 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
14 / 3967 / 3946 / 356
other
Total, other adverse events
0 / 3960 / 3940 / 356
serious
Total, serious adverse events
0 / 3960 / 3940 / 356

Outcome results

Primary

Change in Inappropriate Prescribing

This outcome is measured as a composite of 1) discontinuation of study high-risk medications (i.e., active discontinuation or lack of an order during follow-up) or 2) ordering a dose taper (for benzodiazepine or sedative hypnotics) using EHR data by the primary care provider included in the study arm. If any of these actions occurred by the primary care provider, then the patient was considered to have had a change in prescribing (i.e., a reduction in inappropriate prescribing). This outcome was measured as a binary outcome.

Time frame: Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant

Population: Patients who met eligibility criteria for inclusion in the analysis (adults ≥65 years, who were prescribed ≥90 pills of benzodiazepine, strongly anticholinergic medication, or sedative hypnotic in the last 180 days and had an office or telemedicine visit with a primary care provider who was assigned to a study arm), as measured from EHR system data.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
No Alert (Usual Care)Change in Inappropriate Prescribing106 Participants
Open Encounter + Pre-commitmentChange in Inappropriate Prescribing145 Participants
Open Encounter + Follow-up BoosterChange in Inappropriate Prescribing122 Participants
Comparison: Outcomes were evaluated using generalized estimating equations with a log link and binary errors, adjusting for provider-level clustering and Holm-Bonferroni multiple comparisons.p-value: 0.00295% CI: [1.1, 1.78]Regression, Logistic
Comparison: Outcomes were evaluated using generalized estimating equations with a log link and binary errors, adjusting for provider-level clustering and Holm-Bonferroni multiple comparisons.p-value: 0.03995% CI: [1.01, 1.57]Regression, Logistic
Secondary

Cumulative Lorazepam Milligram Equivalents Prescribed

This outcome is measured on the patient level as the number of lorazepam milligram equivalents of benzodiazepine and sedative hypnotic (Z-drug) prescribed to patients by providers over the follow-up, measured within the EHR system. This outcome was measured as a continuous outcome.

Time frame: Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant

Population: Patients who met eligibility criteria for inclusion in the analysis (adults ≥65 years, who were prescribed ≥90 pills of benzodiazepine, strongly anticholinergic medication, or sedative hypnotic in the last 180 days and had an office or telemedicine visit with a primary care provider who was assigned to a study arm), as measured from EHR system data.

ArmMeasureValue (MEAN)Dispersion
No Alert (Usual Care)Cumulative Lorazepam Milligram Equivalents Prescribed238.7 lorazepam milligram equivalentsStandard Deviation 461.6
Open Encounter + Pre-commitmentCumulative Lorazepam Milligram Equivalents Prescribed220.1 lorazepam milligram equivalentsStandard Deviation 413.9
Open Encounter + Follow-up BoosterCumulative Lorazepam Milligram Equivalents Prescribed259.7 lorazepam milligram equivalentsStandard Deviation 601.3
Comparison: Outcomes were evaluated using generalized estimating equations with an identity link and normally-distributed errors, adjusting for provider-level clustering and Holm-Bonferroni multiple comparisons.p-value: 0.65795% CI: [-74.5, 47]Regression, Linear
Comparison: Outcomes were evaluated using generalized estimating equations with an identity link and normally-distributed errors, adjusting for provider-level clustering and Holm-Bonferroni multiple comparisons.p-value: 0.69695% CI: [-60.7, 91]Regression, Linear
Secondary

Quantity of High-risk Medication Prescribed

This outcome is measured on the patient level as the number of pills of high-risk medications prescribed to patients by providers over the follow-up, measured within the EHR system. This outcome was measured as a continuous outcome.

Time frame: Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant

Population: Patients who met eligibility criteria for inclusion in the analysis (adults ≥65 years, who were prescribed ≥90 pills of benzodiazepine, strongly anticholinergic medication, or sedative hypnotic in the last 180 days and had an office or telemedicine visit with a primary care provider who was assigned to a study arm), as measured from EHR system data.

ArmMeasureValue (MEAN)Dispersion
No Alert (Usual Care)Quantity of High-risk Medication Prescribed398.6 Number of pillsStandard Deviation 439.4
Open Encounter + Pre-commitmentQuantity of High-risk Medication Prescribed422.5 Number of pillsStandard Deviation 470.9
Open Encounter + Follow-up BoosterQuantity of High-risk Medication Prescribed437.9 Number of pillsStandard Deviation 481.6
Comparison: Outcomes were evaluated using generalized estimating equations with an identity link and normally-distributed errors, adjusting for provider-level clustering and Holm-Bonferroni multiple comparisons.p-value: 0.38695% CI: [-36.6, 94.6]Regression, Linear
Comparison: Outcomes were evaluated using generalized estimating equations with an identity link and normally-distributed errors, adjusting for provider-level clustering and Holm-Bonferroni multiple comparisons.p-value: 27295% CI: [-29.9, 106.1]Regression, Linear

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026