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Accepted for/Published in: JMIR Mental Health

Date Submitted: Jul 26, 2018
Open Peer Review Period: Jul 29, 2018 - Sep 23, 2018
Date Accepted: Mar 30, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Addressing Depression Comorbid With Diabetes or Hypertension in Resource-Poor Settings: A Qualitative Study About User Perception of a Nurse-Supported Smartphone App in Peru

Brandt LR, Hidalgo L, Diez-Canseco F, Araya R, Mohr DC, Menezes P, Miranda JJ

Addressing Depression Comorbid With Diabetes or Hypertension in Resource-Poor Settings: A Qualitative Study About User Perception of a Nurse-Supported Smartphone App in Peru

JMIR Ment Health 2019;6(6):e11701

DOI: 10.2196/11701

PMID: 31215511

PMCID: 6604501

Addressing depression comorbid with diabetes and/or hypertension in resource-poor settings: A qualitative study about user perception of a nurse-supported smartphone application in Peru

  • Lena R. Brandt; 
  • Liliana Hidalgo; 
  • Francisco Diez-Canseco; 
  • Ricardo Araya; 
  • David C. Mohr; 
  • Paulo Menezes; 
  • J. Jaime Miranda

ABSTRACT

Background:

Mobile phone apps could constitute a cost-effective strategy to overcome healthcare system access barriers to mental health services for people in low and middle income countries.

Objective:

The aim of this paper is to explore the patients’ perspectives of CONEMO (Emotional Control, in Spanish: Control Emocional), a technology-driven, psycho-educational and nurse-supported intervention delivered via a smartphone application aimed at reducing depressive symptoms in people with diabetes and/or hypertension, who attend to public health care centers, as well as the nurses’ feedback about their role and its feasibility to be scaled up.

Methods:

This manuscript combines data from two pilot studies performed in Lima, Peru, between 2015 and 2016, to test the feasibility of CONEMO. Interviews were conducted with 29 patients with diabetes and / or hypertension with comorbid depressive symptoms, who used CONEMO, and six staff nurses who accompanied the intervention. Using a content analysis approach, interview notes from patient interviews were transferred to a digital format, coded and categorized to six main domains: the perceived health benefit, usability, adherence, user satisfaction with the app, the nurse’s support, and suggestions to improve the intervention. Interviews with nurses were analyzed by the same approach and categorized into four domains: general feedback, evaluation of training, evaluation of study activities and feasibility of implementing this intervention within existing structures of health system.

Results:

Patients perceived improvement of their emotional health due to CONEMO, while some also reported better physical health. Many encountered some difficulties with using CONEMO, but resolved them with time and practice. However, the interactive elements of the app, such as SMS, Android notifications and pop-up messages were mostly perceived as challenging. Satisfaction with CONEMO was high, as was the self-reported adherence. Overall, patients evaluated the nurse accompaniment positively, but suggested improvements in the technological training and an increase in the amount of contact. Nurses reported some difficulties completing their tasks and explained that CONEMO intervention activities competed with their everyday work-routine.

Conclusions:

Using a nurse-supported smartphone application to reduce depressive symptoms among people with chronic diseases is possible and mostly perceived beneficial by the patients, but requires context-specific adaptations regarding the implementation of a task-shifting approach within the public healthcare system. These results provide valuable information about user feedback for those building mHealth interventions for depression.


 Citation

Please cite as:

Brandt LR, Hidalgo L, Diez-Canseco F, Araya R, Mohr DC, Menezes P, Miranda JJ

Addressing Depression Comorbid With Diabetes or Hypertension in Resource-Poor Settings: A Qualitative Study About User Perception of a Nurse-Supported Smartphone App in Peru

JMIR Ment Health 2019;6(6):e11701

DOI: 10.2196/11701

PMID: 31215511

PMCID: 6604501

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.