Technology-assisted collaborative care program for people with diabetes and/or high blood pressure attending primary health care: A feasibility study

Pablo Martínez, Viviana Guajardo, Víctor E. Gómez, Sebastián Brandt, Wilsa Szabo, Gonzalo Soto-Brandt, Maryam Farhang, Paulina Baeza, Solange Campos, Pablo Herrera, Graciela Rojas

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The comorbidity of depression with physical chronic diseases is usually not considered in clinical guidelines. This study evaluated the feasibility of a technology-assisted collaborative care (TCC) program for depression in people with diabetes and/or high blood pressure (DM/HBP) attending a primary health care (PHC) facility in Santiago, Chile. Twenty people diagnosed with DM/HBP having a Patient Health Questionnaire-9 score ≥ 15 points were recruited. The TCC program consisted of a face-to-face, computer-assisted psychosocial intervention (CPI, five biweekly sessions), telephone monitoring (TM), and a mobile phone application for behavioral activation (CONEMO). Assessments of depressive symptoms and other health-related outcomes were made. Thirteen patients completed the CAPI, 12 received TM, and none tried CONEMO. The TCC program was potentially efficacious in treating depression, with two-thirds of participants achieving response to depression treatment 12 weeks after baseline. Decreases were observed in depressive symptoms and healthcare visits and increases in mental health-related quality of life and adherence to treatment. Patients perceived the CPI as acceptable. The TCC program was partially feasible and potentially efficacious for managing depression in people with DM/HBP. These data are valuable inputs for a future randomized clinical trial.

Original languageEnglish
Article number12000
JournalInternational Journal of Environmental Research and Public Health
Volume18
Issue number22
DOIs
StatePublished - 1 Nov 2021
Externally publishedYes

Keywords

  • Chronic disease
  • Depression
  • Disease management
  • Feasibility studies
  • Information technology
  • Primary health care

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