Evaluation of the Aloft Collaborative Behavioral Model

<h3>Context:</h3> Collaborative behavioral care models (CBCM) in primary care often struggle to integrate care processes and sustain themselves financially. The Aloft model focuses on brief, short term, evidence-based psychotherapy interventions at varying levels of intensity, making it possible to tailor the intervention based on clinic needs. Following a pilot study, the model appears to be feasible with potential for high impact. <h3>Objective:</h3> To evaluate the expansion and adoption of the Aloft model. <h3>Study Design and Analysis:</h3> We developed an interdisciplinary implementation evaluation team, informed by the updated Consolidated Framework for Implementation Research (CFIR), to determine parameters for data collection and the clinical and experiential outcomes needed to establish feasibility, efficacy, and effectiveness across degrees of intervention. <h3>Dataset:</h3> First, we conducted a literature review to confirm the distinctive and innovative nature of the Aloft model compared to existing CBCM. Second, we identified ways to include recipients of care as both beneficiaries and contributors to the evaluation. A similar step was taken to incorporate and account for the deliverers or providers of care. Third, we embedded our team in the workflow to capture conversations among leadership. These steps enabled assessment of progress, adoption, and roadblocks across sites at various levels of intervention. <h3>Population Studied:</h3> Adult and pediatric primary care clinics. <h3>Intervention/Instrument:</h3> Aloft Collaborative Care Model (CoCM). <h3>Outcome Measures:</h3> Site level measures include number of practices along with a sample of practices within each intervention category. Clinical measures include rate of diagnoses, medication changes, PHQ9. Experience with care is measured in terms of interpersonal communication and satisfaction with care, the feasibility and acceptability of the model in terms of provider experience and costs of care, and fidelity of the intervention across sites. <h3>Results:</h3> This poster maps out our evaluation assembly process including best practices and lessons learned. <h3>Conclusions:</h3> We evaluate the implementation of a CoCM that accounts for site level differences, thereby accelerating the scaling of the Aloft model to multiple sites over time, empowering primary care practices to identify, refer, and co-manage behavioral health care.

Authors

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1370/afm.22.s1.6371
Primary Topic
Health Policy Implementation Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the Aloft Collaborative Behavioral Model

Marie C. Haverfield, Ashley P. Duggan, Asher Cohen, Jessica Lyons
Health Policy Implementation Science
article

Evaluation of the Aloft Collaborative Behavioral Model

Marie C. Haverfield, Ashley P. Duggan, Asher Cohen, Jessica Lyons
article en

Abstract

<h3>Context:</h3> Collaborative behavioral care models (CBCM) in primary care often struggle to integrate care processes and sustain themselves financially. The Aloft model focuses on brief, short term, evidence-based psychotherapy interventions at varying levels of intensity, making it possible to tailor the intervention based on clinic needs. Following a pilot study, the model appears to be feasible with potential for high impact. <h3>Objective:</h3> To evaluate the expansion and adoption of the Aloft model. <h3>Study Design and Analysis:</h3> We developed an interdisciplinary implementation evaluation team, informed by the updated Consolidated Framework for Implementation Research (CFIR), to determine parameters for data collection and the clinical and experiential outcomes needed to establish feasibility, efficacy, and effectiveness across degrees of intervention. <h3>Dataset:</h3> First, we conducted a literature review to confirm the distinctive and innovative nature of the Aloft model compared to existing CBCM. Second, we identified ways to include recipients of care as both beneficiaries and contributors to the evaluation. A similar step was taken to incorporate and account for the deliverers or providers of care. Third, we embedded our team in the workflow to capture conversations among leadership. These steps enabled assessment of progress, adoption, and roadblocks across sites at various levels of intervention. <h3>Population Studied:</h3> Adult and pediatric primary care clinics. <h3>Intervention/Instrument:</h3> Aloft Collaborative Care Model (CoCM). <h3>Outcome Measures:</h3> Site level measures include number of practices along with a sample of practices within each intervention category. Clinical measures include rate of diagnoses, medication changes, PHQ9. Experience with care is measured in terms of interpersonal communication and satisfaction with care, the feasibility and acceptability of the model in terms of provider experience and costs of care, and fidelity of the intervention across sites. <h3>Results:</h3> This poster maps out our evaluation assembly process including best practices and lessons learned. <h3>Conclusions:</h3> We evaluate the implementation of a CoCM that accounts for site level differences, thereby accelerating the scaling of the Aloft model to multiple sites over time, empowering primary care practices to identify, refer, and co-manage behavioral health care.

Openalex Percentile: Top 62%
Health Policy Implementation Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.