scholarly journals Mobile Health Features Supporting Self-Management Behavior in Patients With Chronic Arthritis: Mixed-Methods Approach on Patient Preferences

10.2196/12535 ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. e12535 ◽  
Author(s):  
Jonas Geuens ◽  
Luc Geurts ◽  
Thijs W Swinnen ◽  
Rene Westhovens ◽  
Vero Vanden Abeele

2018 ◽  
Author(s):  
Jonas Geuens ◽  
Luc Geurts ◽  
Thijs W Swinnen ◽  
Rene Westhovens ◽  
Vero Vanden Abeele

BACKGROUND Patients with chronic arthritis (CA) ideally apply self-management behaviors between consultations. This enduring, tedious task of keeping track of disease-related parameters, adhering to medication schemes, and engaging in physical therapy may be supported by using a mobile health (mHealth) app. However, further research is needed to determine which self-management features are valued most by adult patients with CA patients. OBJECTIVE The aim of this study was to determine the preference of features for an mHealth app to support self-management behavior in patients with CA. In addition, we aimed to explore the motives behind these ratings. METHODS A mixed-methods approach was used to gather information from 31 adult patients (14 females), aged 23 to 71 years (mean 51 [SD 12.16]), with CA. Structured interviews were conducted to gather data pertaining to preferences of app features. Interviews were analyzed qualitatively, whereas ratings for each of the 28 features studied were analyzed quantitatively. RESULTS In general, patients with CA favored the use of features pertaining to supporting active and direct disease management, (eg, medication intake and detecting and alarming of bad posture), helping them to keep a close watch on their disease status and inform their health care professional (eg, providing a means to log and report disease-related data) and receiving personalized information (eg, offering tailored information based on the patient’s health data). Patients strongly disliked features that provide a means of social interaction or provide incentivization for disease-related actions (eg, being able to compare yourself with other patients, cooperating toward a common goal, and receiving encouragement from friends and/or family). Driving these evaluations is the finding that every patient with CA hurts in his/her own way, the way the disease unfolds over time and manifests itself in the patient and social environment is different for every patient, and patients with CA are well aware of this. CONCLUSIONS We have offered an insight into how patients with CA favor mHealth features for self-management apps. The results of this research can inform the design and development of prospective self-management apps for patients with CA.



10.2196/17776 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e17776 ◽  
Author(s):  
Ran Li ◽  
Ning Liang ◽  
Fanlong Bu ◽  
Therese Hesketh

Background Effective treatment of hypertension requires careful self-management. With the ongoing development of mobile technologies and the scarcity of health care resources, mobile health (mHealth)–based self-management has become a useful treatment for hypertension, and its effectiveness has been assessed in many trials. However, there is a paucity of comprehensive summaries of the studies using both qualitative and quantitative methods. Objective This systematic review aimed to measure the effectiveness of mHealth in improving the self-management of hypertension for adults. The outcome measures were blood pressure (BP), BP control, medication adherence, self-management behavior, and costs. Methods A systematic search was conducted using 5 electronic databases. The snowballing method was used to scan the reference lists of relevant studies. Only peer-reviewed randomized controlled trials (RCTs) published between January 2010 and September 2019 were included. Data extraction and quality assessment were performed by 3 researchers independently, adhering to the validation guideline and checklist. Both a meta-analysis and a narrative synthesis were carried out. Results A total of 24 studies with 8933 participants were included. Of these, 23 studies reported the clinical outcome of BP, 12 of these provided systolic blood pressure (SBP) and diastolic blood pressure (DBP) data, and 16 articles focused on change in self-management behavior and medication adherence. All 24 studies were included in the narrative synthesis. According to the meta-analysis, a greater reduction in both SBP and DBP was observed in the mHealth intervention groups compared with control groups, −3.78 mm Hg (P<.001; 95% CI −4.67 to −2.89) and −1.57 mm Hg (P<.001; 95% CI −2.28 to −0.86), respectively. Subgroup analyses showed consistent reductions in SBP and DBP across different frequencies of reminders, interactive patterns, intervention functions, and study duration subgroups. A total of 16 studies reported better medication adherence and behavioral change in the intervention groups, while 8 showed no significant change. Six studies included an economic evaluation, which drew inconsistent conclusions. However, potentially long-term financial benefits were mentioned in all economic evaluations. All studies were assessed to be at high risk of bias. Conclusions This review found that mHealth self-management interventions were effective in BP control. The outcomes of this review showed improvements in self-management behavior and medication adherence. The most successful mHealth intervention combined the feature of tailored messages, interactive communication, and multifaceted functions. Further research with longer duration and cultural adaptation is necessary. With increasing disease burden from hypertension globally, mHealth offers a potentially effective method for self-management and control of BP. mHealth can be easily integrated into existing health care systems. Trial Registration PROSPERO CRD42019152062; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=152062



2018 ◽  
Author(s):  
Amy Danh Nguyen ◽  
Lauren J Frensham ◽  
Michael XC Wong ◽  
Sylvain MM Meslin ◽  
Paige Martin ◽  
...  

BACKGROUND Gout is a form of chronic arthritis caused by elevated serum uric acid (SUA) and culminates in painful gout attacks. Effective uric acid-lowering therapies exist, however adherence is low. This is partly due to the lack of support for patients to self-manage their disease. Mobile health applications (apps) have been used in self-management of chronic conditions. However, not all are developed with patients, limiting their effectiveness. OBJECTIVE This study aimed to design an effective gout self-management app by collecting feedback from gout patients. METHODS Two mixed-methods studies were conducted. In Study 1, researchers developed a short educational video and written materials about gout management, designed to be embedded into an app. Six interviews and one focus group were held with gout patients to gather feedback on these materials. Usability testing in Study 2 involved additional gout patients using a pilot version of Healthy.me Gout, a gout self-management app, for two weeks. Following the trial, patients participated in an interview about their experiences using the app. RESULTS Patients viewed the gout educational material positively, appreciating the combined use of video, text and images. Patients were receptive to using a mobile app to self-manage their gout. Feedback about Healthy.me Gout was generally positive, with patients reporting that the tracking and diary features were most useful. Patients also provided suggestions for improving the app and educational materials. CONCLUSIONS These studies involved patients in the development of a gout self-management app. Patients provided insight to improve the app’s presentation and usability, and general lessons on useful features for chronic disease apps. Gout patients enjoyed tracking their SUA concentrations and gout attack triggers. These capabilities can be translated to self-management apps for chronic diseases that require monitoring of pathological values, medication adherence and/or symptoms. Future health app design should integrate patient input and be developed iteratively to address concerns identified by patients.



10.2196/11442 ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. e11442 ◽  
Author(s):  
Monique van Beukering ◽  
Adeline Velu ◽  
Liesbeth van den Berg ◽  
Marjolein Kok ◽  
Ben Willem Mol ◽  
...  


Author(s):  
Aurelie Najm ◽  
Heidi Lempp ◽  
Laure Gossec ◽  
Francis Berenbaum ◽  
Elena Nikiphorou

BACKGROUND Despite the growing interest and exponential popularity of mobile health (mHealth) apps for long-term conditions such as rheumatic and musculoskeletal diseases (RMDs) and their self-management, patients are rarely directly consulted and involved in the app development process. OBJECTIVE This study aims to explore the needs, experiences, and views of people diagnosed with RMDs on mHealth apps. METHODS The study used a mixed methods approach: (1) an initial qualitative phase via a patient focus group in the UK and (2) a survey disseminated through national organizations for patients with RMDs across European countries, the United States, Canada, and Australia. RESULTS The focus group included six patients with life-long musculoskeletal conditions. Half had used a self-management app at least once. The use of existing apps was reported as time-consuming due to a lack of functionality. The need for bespoke apps was voiced by all participants. Among 424 patients across European countries, the United States, Canada, and Australia, the main age group was 45 to 54 years (122/424, 28.7%), and 86.8% (368/424) were women. Half of the respondents were aware of the existence of apps to support self-management of their RMDs (188/355, 53%), with 42% (79/188) of them currently using such devices. Patients were mostly interested in an app to self-monitor their health parameters (259/346, 74.9%) and disease activity (221/346, 63.9%) or communicate directly with their health care provider (200/346, 57.8%). CONCLUSIONS Patients considered that using an app could help them to self-manage their RMD condition if it was tailored to their needs and co-developed with health professionals. The development of such apps will require standardization and regular quality control.









BMC Nursing ◽  
2019 ◽  
Vol 18 (1) ◽  
Author(s):  
AnneLoes van Staa ◽  
Janet Been-Dahmen ◽  
Heleen van der Stege ◽  
Denise Beck ◽  
Mirjam Tielen ◽  
...  


10.2196/11656 ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. e11656 ◽  
Author(s):  
Meshari F Alwashmi ◽  
John Hawboldt ◽  
Erin Davis ◽  
Michael D Fetters


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