Identifying Patient Profiles for Developing Tailored Diabetes Self-Management Interventions: A Latent Class Cluster Analysis.

Qu, Haiyan; Shewchuk, Richard M; Richman, Joshua; Andreae, Lynn J; Safford, Monika M

Qu, Haiyan; Shewchuk, Richard M; Richman, Joshua; Andreae, Lynn J; Safford, Monika M.

Afiliación

Qu H; Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Shewchuk RM; Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Richman J; Department of Surgery, School of Medicine, UAB, Birmingham, AL, USA.
Andreae LJ; Department of Medicine, School of Medicine, UAB, Birmingham, AL, USA.
Safford MM; Department of Medicine, Weill Cornell Medical College, New York, NY, USA.

Risk Manag Healthc Policy ; 15: 1055-1063, 2022.

Article en En | MEDLINE | ID: mdl-35592441

Palabras clave

diabetes; latent class cluster analysis; patient-centered care; self-management; trust in physicians

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Risk Manag Healthc Policy Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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