Integrated collaborative care intervention for depression and obesity in primary care: translation from research to practice.
Corina R RonnebergNan LvOlusola A AjiloreBen S GerberElizabeth M VendittiMark B SnowdenLesley E SteinmanNancy E WittelsAmruta BarveSushanth DosalaLisa G RosasEmily A KringleJun MaPublished in: Health education research (2022)
The objective of this study was to present lessons learned about engagement, delivery modality and pandemic impact while delivering a collaborative care intervention with a socioeconomically, racially and ethnically diverse sample. Participants completed a post-intervention survey (n = 41) on experiences and preferred intervention delivery modality, coronavirus 2019 (COVID-19) Impact Survey (n = 50) and provided open-ended feedback about the intervention (n = 27). Intervention process data included attendance, modality, and withdrawals. Data were analyzed using descriptive statistics and inductive content analyses. Of 71 intervention participants, 6 (8%) withdrew before session 1. Completers adhered to intervention timeline better than withdrawals. Participants liked the in-person interaction, efficient coach support, accountability of in-person and Zoom vs. phone sessions and the flexibility and convenience of phone and Zoom vs. in-person sessions. A majority of participants reported experiencing pandemic impacts such as heightened emotional distress, decreased activity engagement, poorer eating behaviors and being unable to meet basic needs. Participants deviating from intervention timelines may be re-engaged by targeted outreach attempts. Videoconference has the potential for providing as-needed coaching. Future interventions may be optimized to account for and address areas impacted by the pandemic. Findings revealed specific strategies that can be implemented in future interventions to improve emotional and physical health among diverse populations.
Keyphrases
- randomized controlled trial
- sars cov
- primary care
- coronavirus disease
- healthcare
- mental health
- physical activity
- quality improvement
- metabolic syndrome
- type diabetes
- public health
- pain management
- depressive symptoms
- machine learning
- body mass index
- electronic health record
- skeletal muscle
- risk assessment
- single cell
- health insurance
- respiratory syndrome coronavirus