Alzheimer DiseaseNCT04851691
An Electronic Clinical Decision Support Tool to Reduce Low-value Antipsychotic Prescriptions
A study testing EHR CDS in people with Alzheimer Disease and Dementia Alzheimers, run by University of California, Los Angeles at 1 site in United States.
Trial summary
The goal of this study will be to design, implement and test the impact of a quality improvement (QI) intervention that uses an EHR CDS tool among physicians newly ordering an antipsychotic medication for older adults with ADRD. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Alzheimer Disease, Dementia Alzheimers, Dementia of Alzheimer Type
- What is being tested?
- EHR CDS
- Type of treatment
- Pill or oral medicine, Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 158 participants
- Where
- 1 siteUnited States
- Study dates
- 3 Aug 2021to 14 Aug 2023
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Physicians who will be eligible to receive the EHR CDS tool intervention include those who provide ambulatory care in the UCLA health system and have newly prescribed antipsychotics (e.g., Quetiepine, Olanzapine, Risperidone, Aripiprazole, Haloperidol, Clozapine) for eligible patients (described below) at the medical center in the last 24 months.
- Eligible patients will be enrolled in the study during their first encounter with one of the randomized physicians (see above) during which a new antipsychotic medication order will be initiated. Inclusion criteria for patients will include: 1) having an assigned primary care physician (PCP) and/or assignment to an Accountable Care Organization (ACO) at UCLA Health, and: 2) being part of the health system's EHR-based dementia registry.
Who cannot join
- Patients who have diagnosis codes for schizophrenic disorders, delusion disorders, bipolar disorders, or other non-organic psychoses on their problem list.
- Patients with Parkinson's disease on their problem list
- Patients who have been prescribed antipsychotics in the prior 12 months
Trial locations and contacts
1 site in 1 country.
About this study
Official title: A Pragmatic Randomized-controlled Trial of a Multi-pronged Electronic Health Record-based Clinical Decision Support Tool to Reduce Low-value Antipsychotic Prescriptions Among Older Adults With Alzheimer's and Related Dementias
The goal of this study will be to design, implement and test the impact of a quality improvement (QI) intervention that uses an EHR CDS tool among physicians newly ordering an antipsychotic medication for older adults with ADRD. The study team hypothesizes that the intervention will reduce each participating clinician's pill days per patient prescribed.
Read the detailed description
Importance: Among patients with Alzheimer's disease and its related dementias (ADRD) with behavioral disturbances, antipsychotic prescriptions have limited efficacy and substantially increase risk of death. Despite an FDA 2005 "black box" warning and multiple professional physician society guidelines discouraging their use, physicians continue to frequently prescribe antipsychotic medications as first-line therapy for behavioral disturbances among patients with ADRD.
Objective: This study will measure the impact of a multi-pronged electronic health record (EHR) clinical decision support (CDS) tool intervention to reduce physician prescriptions of new antipsychotic medications among older adults with ADRD.
Design, Setting, and Participants: Utilizing a pragmatic parallel cluster-randomized trial design, the study will randomize eligible physicians from a large urban academic medical center to either receive an EHR CDS tool (intervention) or not (control) when they prescribe a new antipsychotic medication during a visit with a patient with ADRD. The intervention will include three components: (1) alerts the prescriber that antipsychotic prescriptions increase mortality; (2) offers non-pharmacological behavioral resources for caregivers; and if the prescriber does not cancel the order (3) auto-defaults the prescription to contain the lowest dose and number of pills (n=30) without refills. In addition, the PI will email all providers randomized to the intervention arm in order to make them aware of the components of this intervention and its motivation. Acknowledging the clinical complexity of this vulnerable patient population, the multidisciplinary study team attempted to design the intervention to maximize impact while minimizing clinician burden. Over a one-year timeframe, the study team will compare the cumulative total of new antipsychotic pill-days prescribed (primary outcome) by physicians in the intervention group versus in the control group.
Hypothesis: This pragmatic trial will advance understanding of how a multi-pronged EHR CDS tool can potentially reduce harmful, low-value care among older adults with ADRD.
- Being tested
- EHR CDS, Usual Care
- Keywords
- Low Value Care, Antipsychotic medication
- Medical subject headings
- Alzheimer Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
EHR CDSBehavioural
When a clinician initiates a new antipsychotic prescription for a patient with dementia, a three-pronged electronic health record clinical decision support tool "pops up": (1) Alerting clinicians that antipsychotic prescriptions increase patient mortality; (2) Offering non-pharmacological behavioral resources for caregivers via a link to the IDEA! strategy resources on how caregivers can best manage a patient's behavioral disturbance non-pharmacologically, which will be available in the EHR to include in the patient's after visit summary; and (3) Defaulting prescriptions to a low supply of pills in to order to minimize harm. In addition, the PI will email all providers randomized to the intervention arm in order to make them aware of the components of this intervention and its motivation.
Usual CareOther
Patients will receive usual care from their physicians.
| Study group | Role | What they receive |
|---|---|---|
| EHR CDS tool | Experimental | Patients with an encounter in which the physician attempts to place an order for a new antipsychotic prescription. Physician has been assigned to the EHR CDS tool.
Multi-pronged electronic health record (EHR) clinical decision support (CDS) tool intervention to reduce physician prescriptions of new antipsychotic medications among older adults with ADRD Receives: Behavioral: EHR CDS |
| Control | Experimental | Patients with an encounter in which the physician attempts to place an order for a new antipsychotic prescription. Physician has been assigned to the control.
Physicians will not receive intervention and perform duties as usual. Receives: Other: Usual Care |
What is being measured
The primary outcome is the main question the study is designed to answer.
Cumulative Total of New Antipsychotic Pill-days Prescribed
Cumulative total of new antipsychotic prescription days supplied by clinicians per eligible patient in the 12 months after the intervention rollout date compared to the prior 12-months
Measured: 12 month time point
Secondary outcomes (5)
Number of Patients Who Receive Handout
Number of patients who receive the non-Pharmacologic IDEA Strategy handout at 12 month time point comparing the intervention vs. control
Measured: 12 month time point
Number of Patients With ER Visit
Number of patients with at least one emergency department visit within 90 days of being exposed to the intervention
Measured: 90 days
Number of Patients With Hospitalization
Number of patients with at least one hospitalization within 90 days of being exposed to the intervention
Measured: 90 days
Hospitalizations (Including Psychiatric Hospitalizations)
Hospitalizations (including psychiatric hospitalizations) within 90 days of being exposed to the intervention
Measured: 90 days
Death Within 90 Days After Enrollment
Death within 90 days after enrollment
Measured: 90 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Apr 2021
- Study start3 Aug 2021
- Primary completion11 Apr 2023
- Study completion14 Aug 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (19)Papers the sponsor has linked to this study.
- Other trials for Alzheimer DiseaseStudies of the same condition, open and under way.
- More trials run by University of California, Los AngelesThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 158 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of California, Los Angeles
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute on Aging (NIA)
- Responsible party
- Principal investigator, Catherine A. Sarkisian, University of California, Los Angeles
- Investigators
- Catherine A Sarkisian, MD, MSPH, Principal investigator, University of California, Los Angeles
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04851691
- Sponsor's protocol ID
- R01AG059815-01S1
- Other IDs
- 1R01AG059815-01, R01AG059815-01S1
- Status last verified
- Aug 2024
- First submitted
- 2 Apr 2021
- Last updated
- 19 Sep 2024
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Schneider LS, Tariot PN, Dagerman KS, Davis SM, Hsiao JK, Ismail MS, Lebowitz BD, Lyketsos CG, Ryan JM, Stroup TS, Sultzer DL, Weintraub D, Lieberman JA; CATIE-AD Study Group. Effectiveness of atypical antipsychotic drugs in patients with Alzheimer's disease. N Engl J Med. 2006 Oct 12;355(15):1525-38. doi: 10.1056/NEJMoa061240.
PubMed 17035647Hwang YJ, Dixon SN, Reiss JP, Wald R, Parikh CR, Gandhi S, Shariff SZ, Pannu N, Nash DM, Rehman F, Garg AX. Atypical antipsychotic drugs and the risk for acute kidney injury and other adverse outcomes in older adults: a population-based cohort study. Ann Intern Med. 2014 Aug 19;161(4):242-8. doi: 10.7326/M13-2796.
PubMed 25133360Maher AR, Maglione M, Bagley S, Suttorp M, Hu JH, Ewing B, Wang Z, Timmer M, Sultzer D, Shekelle PG. Efficacy and comparative effectiveness of atypical antipsychotic medications for off-label uses in adults: a systematic review and meta-analysis. JAMA. 2011 Sep 28;306(12):1359-69. doi: 10.1001/jama.2011.1360.
PubMed 21954480American Geriatrics Society. Ten things clinicians and patients should question. Choosing wisely: an initiative of the ABIM foundation. http://www.choosingwisely.org/societies/american-geriatrics-society/. Accessed Revised April 23, 2015.
Reus VI, Fochtmann LJ, Eyler AE, Hilty DM, Horvitz-Lennon M, Jibson MD, Lopez OL, Mahoney J, Pasic J, Tan ZS, Wills CD, Rhoads R, Yager J. The American Psychiatric Association Practice Guideline on the Use of Antipsychotics to Treat Agitation or Psychosis in Patients With Dementia. Am J Psychiatry. 2016 May 1;173(5):543-6. doi: 10.1176/appi.ajp.2015.173501. No abstract available.
PubMed 27133416Kuehn BM. FDA warns antipsychotic drugs may be risky for elderly. JAMA. 2005 May 25;293(20):2462. doi: 10.1001/jama.293.20.2462. No abstract available.
PubMed 15914734Maust DT, Strominger J, Bynum JPW, Langa KM, Gerlach LB, Zivin K, Marcus SC. Prevalence of Psychotropic and Opioid Prescription Fills Among Community-Dwelling Older Adults With Dementia in the US. JAMA. 2020 Aug 18;324(7):706-708. doi: 10.1001/jama.2020.8519.
PubMed 32808997Morgan DJ, Leppin AL, Smith CD, Korenstein D. A Practical Framework for Understanding and Reducing Medical Overuse: Conceptualizing Overuse Through the Patient-Clinician Interaction. J Hosp Med. 2017 May;12(5):346-351. doi: 10.12788/jhm.2738.
PubMed 28459906Colla CH. Swimming against the current--what might work to reduce low-value care? N Engl J Med. 2014 Oct 2;371(14):1280-3. doi: 10.1056/NEJMp1404503. No abstract available.
PubMed 25271601Mafi JN, Parchman M. Low-value care: an intractable global problem with no quick fix. BMJ Qual Saf. 2018 May;27(5):333-336. doi: 10.1136/bmjqs-2017-007477. Epub 2018 Jan 13. No abstract available.
PubMed 29331955Bourdeaux CP, Davies KJ, Thomas MJ, Bewley JS, Gould TH. Using 'nudge' principles for order set design: a before and after evaluation of an electronic prescribing template in critical care. BMJ Qual Saf. 2014 May;23(5):382-8. doi: 10.1136/bmjqs-2013-002395. Epub 2013 Nov 26.
PubMed 24282310Davidai S, Gilovich T, Ross LD. The meaning of default options for potential organ donors. Proc Natl Acad Sci U S A. 2012 Sep 18;109(38):15201-5. doi: 10.1073/pnas.1211695109. Epub 2012 Sep 4.
PubMed 22949639Patel MS, Day SC, Halpern SD, Hanson CW, Martinez JR, Honeywell S Jr, Volpp KG. Generic Medication Prescription Rates After Health System-Wide Redesign of Default Options Within the Electronic Health Record. JAMA Intern Med. 2016 Jun 1;176(6):847-8. doi: 10.1001/jamainternmed.2016.1691. No abstract available.
PubMed 27159011Sacarny A, Barnett ML, Le J, Tetkoski F, Yokum D, Agrawal S. Effect of Peer Comparison Letters for High-Volume Primary Care Prescribers of Quetiapine in Older and Disabled Adults: A Randomized Clinical Trial. JAMA Psychiatry. 2018 Oct 1;75(10):1003-1011. doi: 10.1001/jamapsychiatry.2018.1867.
PubMed 30073273Roddy E, Jones E. On Hippocrates. Hippocratic ideals are alive and well in 21st century. BMJ. 2002 Aug 31;325(7362):496. doi: 10.1136/bmj.325.7362.496/a. No abstract available.
PubMed 12202343
Study at a glance
From the registry record, last updated by the sponsor on 19 Sep 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- A Pragmatic Randomized-controlled Trial of a Multi-pronged Electronic Health Record-based Clinical Decision Support Tool to Reduce Low-value Antipsychotic Prescriptions Among Older Adults With Alzheimer's and Related Dementias
- ClinicalTrials.gov ID
- NCT04851691
- Acronym / sponsor ID
- R01AG059815-01S1
- Keywords
- Low Value Care, Antipsychotic medication
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 158 participants (actual)
- Lead sponsor
- University of California, Los AngelesUniversity, hospital or other
- Collaborators
- National Institute on Aging (NIA)
- Study start
- 3 Aug 2021 (actual)
- Primary completion
- 11 Apr 2023 (actual)
- Study completion
- 14 Aug 2023 (actual)
- First posted
- 20 Apr 2021 (actual)
- Results
- Posted 19 Sep 2024
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The goal of this study will be to design, implement and test the impact of a quality improvement (QI) intervention that uses an EHR CDS tool among physicians newly ordering an antipsychotic medication for older adults with ADRD. The study team hypothesizes that the intervention will reduce each participating clinician's pill days per patient prescribed.
Detailed description
Importance: Among patients with Alzheimer's disease and its related dementias (ADRD) with behavioral disturbances, antipsychotic prescriptions have limited efficacy and substantially increase risk of death. Despite an FDA 2005 "black box" warning and multiple professional physician society guidelines discouraging their use, physicians continue to frequently prescribe antipsychotic medications as first-line therapy for behavioral disturbances among patients with ADRD.
Objective: This study will measure the impact of a multi-pronged electronic health record (EHR) clinical decision support (CDS) tool intervention to reduce physician prescriptions of new antipsychotic medications among older adults with ADRD.
Design, Setting, and Participants: Utilizing a pragmatic parallel cluster-randomized trial design, the study will randomize eligible physicians from a large urban academic medical center to either receive an EHR CDS tool (intervention) or not (control) when they prescribe a new antipsychotic medication during a visit with a patient with ADRD. The intervention will include three components: (1) alerts the prescriber that antipsychotic prescriptions increase mortality; (2) offers non-pharmacological behavioral resources for caregivers; and if the prescriber does not cancel the order (3) auto-defaults the prescription to contain the lowest dose and number of pills (n=30) without refills. In addition, the PI will email all providers randomized to the intervention arm in order to make them aware of the components of this intervention and its motivation. Acknowledging the clinical complexity of this vulnerable patient population, the multidisciplinary study team attempted to design the intervention to maximize impact while minimizing clinician burden. Over a one-year timeframe, the study team will compare the cumulative total of new antipsychotic pill-days prescribed (primary outcome) by physicians in the intervention group versus in the control group.
Hypothesis: This pragmatic trial will advance understanding of how a multi-pronged EHR CDS tool can potentially reduce harmful, low-value care among older adults with ADRD.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| EHR CDS tool | Experimental | Behavioral: EHR CDSPatients with an encounter in which the physician attempts to place an order for a new antipsychotic prescription. Physician has been assigned to the EHR CDS tool. Multi-pronged electronic health record (EHR) clinical decision support (CDS) tool intervention to reduce physician prescriptions of new antipsychotic medications among older adults with ADRD |
| Control | Experimental | Other: Usual CarePatients with an encounter in which the physician attempts to place an order for a new antipsychotic prescription. Physician has been assigned to the control. Physicians will not receive intervention and perform duties as usual. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- Physicians who will be eligible to receive the EHR CDS tool intervention include those who provide ambulatory care in the UCLA health system and have newly prescribed antipsychotics (e.g., Quetiepine, Olanzapine, Risperidone, Aripiprazole, Haloperidol, Clozapine) for eligible patients (described below) at the medical center in the last 24 months.
- Eligible patients will be enrolled in the study during their first encounter with one of the randomized physicians (see above) during which a new antipsychotic medication order will be initiated. Inclusion criteria for patients will include: 1) having an assigned primary care physician (PCP) and/or assignment to an Accountable Care Organization (ACO) at UCLA Health, and: 2) being part of the health system's EHR-based dementia registry.
Key exclusion criteria (3 listed)
- Patients who have diagnosis codes for schizophrenic disorders, delusion disorders, bipolar disorders, or other non-organic psychoses on their problem list.
- Patients with Parkinson's disease on their problem list
- Patients who have been prescribed antipsychotics in the prior 12 months
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| EHR CDSWhen a clinician initiates a new antipsychotic prescription for a patient with dementia, a three-pronged electronic health record clinical decision support tool "pops up": (1) Alerting clinicians that antipsychotic prescriptions increase patient mortality; (2) Offering non-pharmacological behavioral resources for caregivers via a link to the IDEA! strategy resources on how caregivers can best manage a patient's behavioral disturbance non-pharmacologically, which will be available in the EHR to include in the patient's after visit summary; and (3) Defaulting prescriptions to a low supply of pills in to order to minimize harm. In addition, the PI will email all providers randomized to the intervention arm in order to make them aware of the components of this intervention and its motivation. | Behavioural | EHR CDS tool |
| Usual CarePatients will receive usual care from their physicians. | Other | Control |
Primary outcome
Cumulative Total of New Antipsychotic Pill-days Prescribed
Time frame: 12 month time point
Cumulative total of new antipsychotic prescription days supplied by clinicians per eligible patient in the 12 months after the intervention rollout date compared to the prior 12-months
5 secondary outcomes
Number of Patients Who Receive Handout
Time frame: 12 month time point
Number of Patients With ER Visit
Time frame: 90 days
Number of Patients With Hospitalization
Time frame: 90 days
Hospitalizations (Including Psychiatric Hospitalizations)
Time frame: 90 days
Death Within 90 Days After Enrollment
Time frame: 90 days
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Sep 2024.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 17035647Schneider LS, Tariot PN, Dagerman KS, Davis SM, Hsiao JK, Ismail MS, Lebowitz BD, Lyketsos CG, Ryan JM, Stroup TS, Sultzer DL, Weintraub D, Lieberman JA; CATIE-AD Study Group. Effectiveness of atypical antipsychotic drugs in patients with Alzheimer's disease. N Engl J Med. 2006 Oct 12;355(15):1525-38. doi: 10.1056/NEJMoa061240.
- Background: PubMed 25133360Hwang YJ, Dixon SN, Reiss JP, Wald R, Parikh CR, Gandhi S, Shariff SZ, Pannu N, Nash DM, Rehman F, Garg AX. Atypical antipsychotic drugs and the risk for acute kidney injury and other adverse outcomes in older adults: a population-based cohort study. Ann Intern Med. 2014 Aug 19;161(4):242-8. doi: 10.7326/M13-2796.
- Background: PubMed 21954480Maher AR, Maglione M, Bagley S, Suttorp M, Hu JH, Ewing B, Wang Z, Timmer M, Sultzer D, Shekelle PG. Efficacy and comparative effectiveness of atypical antipsychotic medications for off-label uses in adults: a systematic review and meta-analysis. JAMA. 2011 Sep 28;306(12):1359-69. doi: 10.1001/jama.2011.1360.
- BackgroundAmerican Geriatrics Society. Ten things clinicians and patients should question. Choosing wisely: an initiative of the ABIM foundation. http://www.choosingwisely.org/societies/american-geriatrics-society/. Accessed Revised April 23, 2015.
- Background: PubMed 27133416Reus VI, Fochtmann LJ, Eyler AE, Hilty DM, Horvitz-Lennon M, Jibson MD, Lopez OL, Mahoney J, Pasic J, Tan ZS, Wills CD, Rhoads R, Yager J. The American Psychiatric Association Practice Guideline on the Use of Antipsychotics to Treat Agitation or Psychosis in Patients With Dementia. Am J Psychiatry. 2016 May 1;173(5):543-6. doi: 10.1176/appi.ajp.2015.173501. No abstract available.
- Background: PubMed 15914734Kuehn BM. FDA warns antipsychotic drugs may be risky for elderly. JAMA. 2005 May 25;293(20):2462. doi: 10.1001/jama.293.20.2462. No abstract available.
- Background: PubMed 32808997Maust DT, Strominger J, Bynum JPW, Langa KM, Gerlach LB, Zivin K, Marcus SC. Prevalence of Psychotropic and Opioid Prescription Fills Among Community-Dwelling Older Adults With Dementia in the US. JAMA. 2020 Aug 18;324(7):706-708. doi: 10.1001/jama.2020.8519.
- Background: PubMed 28459906Morgan DJ, Leppin AL, Smith CD, Korenstein D. A Practical Framework for Understanding and Reducing Medical Overuse: Conceptualizing Overuse Through the Patient-Clinician Interaction. J Hosp Med. 2017 May;12(5):346-351. doi: 10.12788/jhm.2738.
- Background: PubMed 25271601Colla CH. Swimming against the current--what might work to reduce low-value care? N Engl J Med. 2014 Oct 2;371(14):1280-3. doi: 10.1056/NEJMp1404503. No abstract available.
- Background: PubMed 29331955Mafi JN, Parchman M. Low-value care: an intractable global problem with no quick fix. BMJ Qual Saf. 2018 May;27(5):333-336. doi: 10.1136/bmjqs-2017-007477. Epub 2018 Jan 13. No abstract available.
- Background: PubMed 24282310Bourdeaux CP, Davies KJ, Thomas MJ, Bewley JS, Gould TH. Using 'nudge' principles for order set design: a before and after evaluation of an electronic prescribing template in critical care. BMJ Qual Saf. 2014 May;23(5):382-8. doi: 10.1136/bmjqs-2013-002395. Epub 2013 Nov 26.
- Background: PubMed 22949639Davidai S, Gilovich T, Ross LD. The meaning of default options for potential organ donors. Proc Natl Acad Sci U S A. 2012 Sep 18;109(38):15201-5. doi: 10.1073/pnas.1211695109. Epub 2012 Sep 4.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Catherine A Sarkisian, MD, MSPH principal investigator
University of California, Los Angeles
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing EHR CDS in people with Alzheimer Disease and Dementia Alzheimers, run by University of California, Los Angeles at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 19 Sep 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 19 Sep 2024). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Cumulative Total of New Antipsychotic Pill-days Prescribed (time frame: 12 month time point). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04851691, which also lists 19 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 Sep 2024; AzTrials last refreshed its copy on 30 Oct 2026.