1.14 End-User–Informed Mobile Health (mHealth) Intervention Development For Adolescent Cannabis Use Disorder: A Qualitative Study

2018 ◽  
Vol 57 (10) ◽  
pp. S139-S140
Author(s):  
Elizabeth A. Hodgdon ◽  
Eraka Bath ◽  
Susan F. Tapert ◽  
Kara Simone Bagot
2020 ◽  
Vol 14 ◽  
pp. 175346662095104
Author(s):  
Meshari F. Alwashmi ◽  
Beverly Fitzpatrick ◽  
Erin Davis ◽  
Jamie Farrell ◽  
John-Michael Gamble ◽  
...  

Background: The use of mobile health (mHealth) interventions has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes. Further research is needed to determine which mHealth features are required to potentially enhance COPD self-management. Aim: The aim of this study was to explore the potential features of an mHealth intervention for COPD management with healthcare providers (HCPs) and patients with COPD. It could inform the development and successful implementation of mHealth interventions for COPD management. Methods: This was a qualitative study. We conducted semi-structured individual interviews with HCPs, including nurses, pharmacists and physicians who work directly with patients with COPD. Interviews were also conducted with a diverse sample of patients with COPD. Interview topics included demographics, mHealth usage, the potential use of medical devices and recommendations for features that would enhance an mHealth intervention for COPD management. Results: A total of 40 people, including nurses, physicians and pharmacists, participated. The main recommendations for the proposed mHealth intervention were categorised into two categories: patient interface and HCP interface. The prevalent features suggested for the patient interface include educating patients, collecting baseline data, collecting subjective data, collecting objective data via compatible medical devices, providing a digital action plan, allowing patients to track their progress, enabling family members to access the mHealth intervention, tailoring the features based on the patient’s unique needs, reminding patients about critical management tasks and rewarding patients for their positive behaviours. The most common features of the HCP interface include allowing HCPs to track their patients’ progress, allowing HCPs to communicate with their patients, educating HCPs and rewarding HCPs. Conclusion: This study identifies important potential features so that the most effective, efficient and feasible mHealth intervention can be developed to improve the management of COPD. The reviews of this paper are available via the supplemental material section.


2019 ◽  
Author(s):  
Meshari F Alwashmi ◽  
Beverly Fitzpatrick ◽  
Erin Davis ◽  
John-Michael Gamble ◽  
Jamie Farrell ◽  
...  

BACKGROUND Using a mobile health (mHealth) intervention, consisting of a smartphone and compatible medical device, has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes while mitigating health care costs. OBJECTIVE The aim of this study was to explore the potential facilitators and barriers among health care providers (HCPs) regarding the use of mHealth interventions for COPD management. METHODS This was a qualitative study. Semistructured individual interviews were conducted with HCPs, including nurses, pharmacists, and physicians who work directly with patients with COPD. A flexible prompts guide was used to facilitate discussions. Interview topics included the following: demographics, mHealth usage, perceptions toward challenges of mHealth adoption, factors facilitating mHealth adoption, and preferences regarding features of the mHealth intervention for COPD management. Interviews were conversational in nature, and items were not asked verbatim or in the order presented. The interviews were transcribed verbatim and compared against the digital recordings to ensure the accuracy of the content. After creating a codebook for analysis, 2 researchers independently coded the remaining interview data using pattern coding. They discussed commonalities and differences in coding until a consensus was reached. RESULTS A total of 30 nurses, physicians, and pharmacists participated. The main facilitators to mHealth adoption are possible health benefits for patients, ease of use, educating patients and their HCPs, credibility, and reducing cost to the health care system. Alternatively, the barriers to adoption are technical issues, privacy and confidentiality issues, lack of awareness, potential limited uptake from the elderly, potential limited connection between patients and HCPs, and finances. CONCLUSIONS It is important to understand the perceptions of HCPs regarding the adoption of innovative mHealth interventions for COPD management. This study identifies some potential facilitators and barriers that may inform the successful development and implementation of mHealth interventions for COPD management.


2017 ◽  
Vol 22 (42) ◽  
pp. 6392-6396 ◽  
Author(s):  
Amine Benyamina ◽  
Laurent Karila ◽  
Geneviève Lafaye ◽  
Lisa Blecha

2020 ◽  
Author(s):  
Leticia R. Moczygemba ◽  
Whitney Thurman ◽  
Kyler Tormey ◽  
Anthony Hudzik ◽  
Lauren Welton-Arndt ◽  
...  

BACKGROUND People experiencing homelessness are at risk for gaps in care after an emergency department (ED) or hospital visit, which leads to increased utilization, poor health outcomes, and high health care costs. The majority of homeless individuals have a cell phone of some type, which makes mobile health interventions a feasible way to connect a person experiencing homelessness with providers. OBJECTIVE To investigate the accuracy, acceptability, and preliminary outcomes of a global positioning system-enabled mobile health (GPS-mHealth) intervention designed to alert community health paramedics when people experiencing homelessness were in the ED or hospital. METHODS This was a pre-post design with baseline and 4-month post-enrollment assessments. A person experiencing homelessness taking at least two medications for chronic conditions who scored at least 10 on the Patient Health Questionnaire-9 (PHQ-9) and had at least two ED or hospital visits in the prior 6 months was eligible. Participants were issued a study smartphone with a GPS app programmed to alert a community health paramedic when a participant entered an ED or hospital. For each alert, community health paramedics followed up via telephone to assess care coordination needs. Participants also received a daily e-mail to assess medication adherence. GPS alerts were compared to ED and hospital data from the local health information exchange (HIE) to assess accuracy. Paired t-tests compared scores on the PHQ-9, Medical Outcomes Study Social Support Survey, and ASK-12 adherence survey at baseline and exit. Semi-structured exit interviews examined perceptions and benefits of the intervention. RESULTS Thirty participants enrolled; the mean age was 44.1 years (SD 9.7). Most were male (67%; n = 20), White (57%; n = 17), and not working (63%; n = 19). The GPS app showed limited accuracy in ED or hospital visit alerts. Only 18.8% of the alerts aligned with HIE data (3/16), mainly due to patients not having the phone with them during the visit, phone being off, and gaps in GPS technology. There was a significant difference in depressive symptoms between baseline (M=16.9, SD=5.8) and exit (M=12.7, SD=8.2); t(19)=2.9, p=.009 and a significant difference in adherence barriers between baseline (M=2.4, SD=1.4) and exit (M=1.5, SD =1.5); t(17)=2.47, p = .025). Participants agreed that the app was easy to use (M=4.4/5 with 5 = strongly agree (SA)) and indicated the e-mail helped them remember to take their medications (M=4.6/5). Qualitative data indicated that unlimited phone access allowed participants to meet social needs and maintain reliable contact with case managers, healthcare providers, family, and friends. CONCLUSIONS mHealth interventions are feasible for and acceptable to people experiencing homelessness. Objective data from the HIE provided more accurate ED and hospital visit information, but unlimited access to reliable communication provided benefits to participants beyond the study purpose of improving care coordination. CLINICALTRIAL Not applicable


Author(s):  
Alexander S. Hatoum ◽  
Claire L. Morrison ◽  
Sarah M.C. Colbert ◽  
Evan A. Winiger ◽  
Emma C. Johnson ◽  
...  

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