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Association of collaborative care intervention features with depression and metabolic outcomes in the INDEPENDENT study: A mixed methods study.
Hassan, Saria; Liu, Star; Johnson, Leslie C M; Patel, Shivani A; Emmert-Fees, Karl M F; Suvada, Kara; Tandon, Nikhil; Sridhar, Gumpeny Ramachandra; Aravind, Sosale; Poongothai, Subramani; Anjana, Ranjit Mohan; Mohan, Viswanathan; Chwastiak, Lydia; Ali, Mohammed K.
Afiliação
  • Hassan S; Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA; Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA. Electronic address: Saria.hassan@emory
  • Liu S; Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Department of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Johnson LCM; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA.
  • Patel SA; Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA.
  • Emmert-Fees KMF; Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Public Health and Prevention, Technical University of Munich, Munich, Germany.
  • Suvada K; Department of Epidemiology, Emory University, Atlanta, GA, USA.
  • Tandon N; Department of Endocrinology and Metabolism, All India Institute of Medical Sciences New Delhi, India.
  • Sridhar GR; Endocrine and Diabetes Centre, Visakhapatnam, India.
  • Aravind S; Diabetes Care and Research Center, Diacon Hospital, Bengaluru, India.
  • Poongothai S; Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India.
  • Anjana RM; Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India.
  • Mohan V; Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India.
  • Chwastiak L; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
  • Ali MK; Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA.
Prim Care Diabetes ; 18(3): 319-326, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38360505
ABSTRACT

AIMS:

The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) trial tested a collaborative care model including electronic clinical decision support (CDS) for treating diabetes and depression in India. We aimed to assess which features of this clinically and cost-effective intervention were associated with improvements in diabetes and depression measures.

METHODS:

Post-hoc analysis of the INDEPENDENT trial data (189 intervention participants) was conducted to determine each intervention feature's effect 1. Collaborative case reviews between expert psychiatrists and the care team; 2. Patient care-coordinator contacts; and 3. Clinicians' CDS prompt modifications. Primary outcome was baseline-to-12-months improvements in diabetes control, blood pressure, cholesterol, and depression. Implementer interviews revealed barriers and facilitators of intervention success. Joint displays integrated mixed methods' results.

RESULTS:

High baseline HbA1c≥ 74.9 mmol/mol (9%) was associated with 5.72 fewer care-coordinator contacts than those with better baseline HbA1c (76.8 mmol/mol, 9.18%, p < 0.001). Prompt modification proportions varied from 38.3% (diabetes) to 1.3% (LDL). Interviews found that providers' and participants' visit frequencies were preference dependent. Qualitative data elucidated patient-level factors that influenced number of clinical contacts and prompt modifications explaining their lack of association with clinical outcomes.

CONCLUSION:

Our mixed methods approach underlines the importance of the complementarity of different intervention features. Qualitative findings further illuminate reasons for variations in fidelity from the core model.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Equipe de Assistência ao Paciente / Hemoglobinas Glicadas / Biomarcadores / Prestação Integrada de Cuidados de Saúde / Comportamento Cooperativo / Sistemas de Apoio a Decisões Clínicas / Depressão Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Equipe de Assistência ao Paciente / Hemoglobinas Glicadas / Biomarcadores / Prestação Integrada de Cuidados de Saúde / Comportamento Cooperativo / Sistemas de Apoio a Decisões Clínicas / Depressão Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article