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Monitoring and Management for Metabolic Side Effects of Antipsychotics

Monitoring and Management for Metabolic Effects of Antipsychotics

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01875861
Acronym
AMMP
Enrollment
12
Registered
2013-06-12
Start date
2011-01-31
Completion date
2017-04-30
Last updated
2019-02-12

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

Conditions

Mental Health, Psychotic Disorders

Keywords

Antipsychotic Agents, Metabolic Syndrome, Quality Improvement

Brief summary

The purpose of this study is to test an approach for implementing guideline recommendations for assessing and managing metabolic side effects (including weight gain, diabetes, elevated lipids) in patients prescribed antipsychotic medications.

Detailed description

Treatment of psychotic disorders consists primarily of antipsychotic medications, which are associated with metabolic side effects such as overweight/obesity, diabetes, and dyslipidemia. Expert consensus and evidence-based recommendations have been developed for assessment and management of these conditions; however, research studies show deficits and delays in metabolic monitoring for patients prescribed antipsychotics. This purpose of this study is to test a quality improvement intervention to enhance implementation of recommendations for assessing and managing metabolic side effects in patients prescribed antipsychotic medications. Study Objectives are: * Objective 1: To test the effect of an Evidence-Based Quality Improvement/Facilitation (EBQI/F) intervention as an augmentation to a national implementation initiative on rates of monitoring for metabolic side effects of antipsychotics in sites likely to encounter greater challenges to implementation. * Objective 2: To test the effect of the EBQI/F intervention as an augmentation to the national implementation initiative on management of metabolic side effects of antipsychotics in sites likely to encounter greater challenges to implementation. * Objective 3: To assess the direct costs of the EBQI/F intervention, and explore potential variations in costs of the EBQI/F intervention in sites with lower versus higher organizational challenges. Methods This study employs a cluster randomized design with eligible study sites including VA Medical Centers with 300 patients receiving a new antipsychotic prescription in the first six months of Fiscal Year 2008. Twelve sites have been recruited and matched according to level of organizational readiness-to-change. Randomization to intervention or control group was conducted within each of the six site-pairs. Study participants include VA employees involved in the monitoring and management of patients treated with antipsychotics at participating sites. The intervention involves researchers partnering with clinical stakeholders, offering tailoring in local implementation strategies to address barriers to metabolic side-effect monitoring and management. External facilitation to support, problem-solve and refine implementation will be provided for a six-month implementation phase. The effectiveness of the EBQI/F intervention combined with the ongoing national quality improvement initiative at six sites (intervention sites) will be compared to six matched comparison sites exposed to the national quality improvement initiative alone (control sites).

Interventions

OTHEREvidence-Based Quality Improvement Plus Facilitation

The intervention involves researchers partnering with clinical stakeholders, offering tailoring in local implementation strategies to address barriers to metabolic side-effect monitoring and management. External facilitation to support, problem-solve and refine implementation will be provided for a six-month implementation phase.

Sponsors

VA Office of Research and Development
Lead SponsorFED

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

\- Providers involved in antipsychotic management or management of metabolic side effects and related conditions

Exclusion criteria

\- None

Design outcomes

Primary

MeasureTime frameDescription
Change in Site-level Rates of Weight Monitoring at Baseline (Within 30 Days of a New Antipsychotic Prescription)Change in monitoring rates will be measured monthly through 6-month pre-implementation, implementation, and sustainability phasesFor each monthly observation: The proportion of patients at each site due for weight monitoring at baseline who have weight recorded in the electronic health record.

Secondary

MeasureTime frameDescription
Change in Site-level Rates of Weight Monitoring at Follow-up (From 31-120 Days After a New Antipsychotic Prescription)Change in monitoring rates will be measured monthly through 6-month pre-implementation, implementation, and sustainability phasesFor each monthly observation: The proportion of patients at each site due for weight monitoring at follow-up who have weight recorded in the electronic health record.
Change in Site-level Rates of Management for Obesity or Weight Gain Within 30 Days After a Recording of 5% Gain in Body WeightChange in weight management rates will be measured monthly through 6-month pre-implementation, implementation, and sustainability phasesFor each monthly observation: The proportion of patients at each site with weight gain that have guideline-recommended weight management (e.g., counseling about diet or exercise, referral to weight management program) initiated within 30 days.

Countries

United States

Participant flow

Recruitment details

Twelve sites were recruited, matched according to level of organizational readiness-to-change, and randomized to intervention/control group within each of the 6 site-pairs. Patients with a new antipsychotic medication start were identified using VA data in 6-month pre-implementation, implementation, and sustainability periods.

Pre-assignment details

Participants were continuously entered into the study when starting a new antipsychotic treatment and were assessed up to 120 days later, thus the number of participants within each period is independent of one another and for some participants where the 120 days spanned two periods they are counted in more than one period.

Participants by arm

ArmCount
Intervention
Evidence-Based Quality Improvement plus external facilitation to promote uptake of QI tools and improvement strategies available as part of a national initiative (the MIAMI Project) to disseminate recommendations, QI tools, and improvement strategies relevant to metabolic monitoring and management. Evidence-Based Quality Improvement Plus Facilitation: The intervention involves researchers partnering with clinical stakeholders, offering tailoring in local implementation strategies to address barriers to metabolic side-effect monitoring and management. External facilitation to support, problem-solve and refine implementation will be provided for a six-month implementation phase.
11,335
Intervention
Evidence-Based Quality Improvement plus external facilitation to promote uptake of QI tools and improvement strategies available as part of a national initiative (the MIAMI Project) to disseminate recommendations, QI tools, and improvement strategies relevant to metabolic monitoring and management. Evidence-Based Quality Improvement Plus Facilitation: The intervention involves researchers partnering with clinical stakeholders, offering tailoring in local implementation strategies to address barriers to metabolic side-effect monitoring and management. External facilitation to support, problem-solve and refine implementation will be provided for a six-month implementation phase.
6
Comparison
Usual care with access to information about QI tools and improvement strategies, but no Evidence-Based Quality Improvement or Facilitation components.
8,766
Comparison
Usual care with access to information about QI tools and improvement strategies, but no Evidence-Based Quality Improvement or Facilitation components.
6
Total20,113

Baseline characteristics

CharacteristicTotalComparisonIntervention
Age, Continuous
Implementation
53.35 years
STANDARD_DEVIATION 16.29
52.82 years
STANDARD_DEVIATION 16.64
53.75 years
STANDARD_DEVIATION 16.02
Age, Continuous
Overall Sample
53.93 years
STANDARD_DEVIATION 16.28
53.67 years
STANDARD_DEVIATION 16.62
54.19 years
STANDARD_DEVIATION 15.99
Age, Continuous
Pre-Implementation
54.31 years
STANDARD_DEVIATION 15.9
54.06 years
STANDARD_DEVIATION 16.18
54.51 years
STANDARD_DEVIATION 15.67
Age, Continuous
Sustainability
53.28 years
STANDARD_DEVIATION 16.28
53.06 years
STANDARD_DEVIATION 16.54
53.45 years
STANDARD_DEVIATION 16.08
Ethnicity (NIH/OMB)
Implementation
Hispanic or Latino
372 Participants157 Participants215 Participants
Ethnicity (NIH/OMB)
Implementation
Not Hispanic or Latino
7298 Participants3101 Participants4197 Participants
Ethnicity (NIH/OMB)
Implementation
Unknown or Not Reported
320 Participants186 Participants134 Participants
Ethnicity (NIH/OMB)
Overall Sample
Hispanic or Latino
920 Participants423 Participants497 Participants
Ethnicity (NIH/OMB)
Overall Sample
Not Hispanic or Latino
18324 Participants7865 Participants10459 Participants
Ethnicity (NIH/OMB)
Overall Sample
Unknown or Not Reported
857 Participants478 Participants379 Participants
Ethnicity (NIH/OMB)
Pre-Implementation
Hispanic or Latino
384 Participants184 Participants200 Participants
Ethnicity (NIH/OMB)
Pre-Implementation
Not Hispanic or Latino
7735 Participants3341 Participants4394 Participants
Ethnicity (NIH/OMB)
Pre-Implementation
Unknown or Not Reported
374 Participants189 Participants185 Participants
Ethnicity (NIH/OMB)
Sustainability
Hispanic or Latino
341 Participants158 Participants183 Participants
Ethnicity (NIH/OMB)
Sustainability
Not Hispanic or Latino
7093 Participants3107 Participants3986 Participants
Ethnicity (NIH/OMB)
Sustainability
Unknown or Not Reported
316 Participants179 Participants137 Participants
Race/Ethnicity, Customized
Black
5030 Participants2239 Participants2791 Participants
Race/Ethnicity, Customized
Other
604 Participants206 Participants398 Participants
Race/Ethnicity, Customized
Unknown
1189 Participants493 Participants696 Participants
Race/Ethnicity, Customized
White
13278 Participants5828 Participants7450 Participants
Region of Enrollment
United States
20101 Participants8766 Participants11335 Participants
Sex: Female, Male
Implementation
Female
995 Participants433 Participants562 Participants
Sex: Female, Male
Implementation
Male
6995 Participants3011 Participants3984 Participants
Sex: Female, Male
Overall Sample
Female
2364 Participants1027 Participants1337 Participants
Sex: Female, Male
Overall Sample
Male
17737 Participants7739 Participants9998 Participants
Sex: Female, Male
Pre-Implementation
Female
965 Participants421 Participants544 Participants
Sex: Female, Male
Pre-Implementation
Male
7528 Participants3293 Participants4235 Participants
Sex: Female, Male
Sustainability
Female
965 Participants441 Participants524 Participants
Sex: Female, Male
Sustainability
Male
6785 Participants3003 Participants3782 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
0 / 11,3350 / 8,766
serious
Total, serious adverse events
0 / 11,3350 / 8,766

Outcome results

Primary

Change in Site-level Rates of Weight Monitoring at Baseline (Within 30 Days of a New Antipsychotic Prescription)

For each monthly observation: The proportion of patients at each site due for weight monitoring at baseline who have weight recorded in the electronic health record.

Time frame: Change in monitoring rates will be measured monthly through 6-month pre-implementation, implementation, and sustainability phases

Population: All patients who met inclusion criteria for this measure. Note that total for Outcome 1 is less than overall total N because patients were included for each measure independently if they met criteria any time in the 6-month implementation phases. Slightly more patients met criteria for the follow-up monitoring measures than baseline monitoring.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
InterventionChange in Site-level Rates of Weight Monitoring at Baseline (Within 30 Days of a New Antipsychotic Prescription)Pre-Implementation1811 Participants
InterventionChange in Site-level Rates of Weight Monitoring at Baseline (Within 30 Days of a New Antipsychotic Prescription)Implementation1598 Participants
InterventionChange in Site-level Rates of Weight Monitoring at Baseline (Within 30 Days of a New Antipsychotic Prescription)Sustainability1384 Participants
ComparisonChange in Site-level Rates of Weight Monitoring at Baseline (Within 30 Days of a New Antipsychotic Prescription)Pre-Implementation1410 Participants
ComparisonChange in Site-level Rates of Weight Monitoring at Baseline (Within 30 Days of a New Antipsychotic Prescription)Implementation1109 Participants
ComparisonChange in Site-level Rates of Weight Monitoring at Baseline (Within 30 Days of a New Antipsychotic Prescription)Sustainability1043 Participants
Comparison: Because of data discontinuity, assumptions for time series analysis did not hold. Repeated measures regression models were developed to compare overall weight monitoring rates at baseline across the implementation phases.95% CI: [1.02, 1.38]
Secondary

Change in Site-level Rates of Management for Obesity or Weight Gain Within 30 Days After a Recording of 5% Gain in Body Weight

For each monthly observation: The proportion of patients at each site with weight gain that have guideline-recommended weight management (e.g., counseling about diet or exercise, referral to weight management program) initiated within 30 days.

Time frame: Change in weight management rates will be measured monthly through 6-month pre-implementation, implementation, and sustainability phases

Population: All patients meeting inclusion/exclusion criteria

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
InterventionChange in Site-level Rates of Management for Obesity or Weight Gain Within 30 Days After a Recording of 5% Gain in Body WeightSustainability50 Participants
InterventionChange in Site-level Rates of Management for Obesity or Weight Gain Within 30 Days After a Recording of 5% Gain in Body WeightPre-Implementation25 Participants
InterventionChange in Site-level Rates of Management for Obesity or Weight Gain Within 30 Days After a Recording of 5% Gain in Body WeightImplementation46 Participants
ComparisonChange in Site-level Rates of Management for Obesity or Weight Gain Within 30 Days After a Recording of 5% Gain in Body WeightImplementation28 Participants
ComparisonChange in Site-level Rates of Management for Obesity or Weight Gain Within 30 Days After a Recording of 5% Gain in Body WeightSustainability65 Participants
ComparisonChange in Site-level Rates of Management for Obesity or Weight Gain Within 30 Days After a Recording of 5% Gain in Body WeightPre-Implementation23 Participants
Secondary

Change in Site-level Rates of Weight Monitoring at Follow-up (From 31-120 Days After a New Antipsychotic Prescription)

For each monthly observation: The proportion of patients at each site due for weight monitoring at follow-up who have weight recorded in the electronic health record.

Time frame: Change in monitoring rates will be measured monthly through 6-month pre-implementation, implementation, and sustainability phases

Population: All patients meeting inclusion/exclusion criteria

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
InterventionChange in Site-level Rates of Weight Monitoring at Follow-up (From 31-120 Days After a New Antipsychotic Prescription)Pre-Implementation1696 Participants
InterventionChange in Site-level Rates of Weight Monitoring at Follow-up (From 31-120 Days After a New Antipsychotic Prescription)Implementation1477 Participants
InterventionChange in Site-level Rates of Weight Monitoring at Follow-up (From 31-120 Days After a New Antipsychotic Prescription)Sustainability1265 Participants
ComparisonChange in Site-level Rates of Weight Monitoring at Follow-up (From 31-120 Days After a New Antipsychotic Prescription)Pre-Implementation1337 Participants
ComparisonChange in Site-level Rates of Weight Monitoring at Follow-up (From 31-120 Days After a New Antipsychotic Prescription)Implementation1005 Participants
ComparisonChange in Site-level Rates of Weight Monitoring at Follow-up (From 31-120 Days After a New Antipsychotic Prescription)Sustainability992 Participants
Comparison: See comments about time series analysis for primary outcome measure. Repeated measures regression analysis of the likelihood of monitoring for each time period was conducted.95% CI: [1.03, 1.39]

Source: ClinicalTrials.gov · Data processed: Mar 10, 2026