Impact of a mobile health pilot study on asthma rescue inhaler use, control and self-management

BACKGROUND Mobile health (mHealth) systems have been shown to be useful in supporting self-management by promoting adherence to schedules and longitudinal health interventions, especially in people with disabilities (PwD). The Interactive Mobile Health and Rehabilitation (iMHere) System was developed to empower PwD and those with chronic conditions with supports needed for self-management and independent living. Since the first iteration of the iMHere 1.0 app, several studies have evaluated accessibility and usability of the system. Potential opportunities to improve and simplify the user interface (UI) were identified, and the iMHere modules were redesigned accordingly. OBJECTIVE The aim of this study was to evaluate the usability of the redesigned modules within iMHere 1.0. METHODS This study evaluated the original and redesigned MyMeds and SkinCare modules. To assess the participants’ dexterity levels, the Purdue Pegboard Test (PPBT) was administered. Participants were then asked to perform a set of tasks using both the original and redesigned MyMeds and SkinCare modules to assess efficiency and effectiveness. Usability was measured using the Telehealth Usability Questionnaire (TUQ) to evaluate 10 new accessibility features that were added to the redesigned app. Participants were also asked which version they preferred. RESULTS Twenty-four participants with disabilities and varied degrees of dexterity impairments completed the entire study protocol. Participants displayed improved efficiency and effectiveness of use when using the redesigned modules, as compared to the original modules. Participants also reported improved usability and preferred the redesigned modules. CONCLUSIONS This study demonstrated that the iMHere System became more efficient, effective, and usable for individuals with dexterity impairments after redesigning it according to user-centered principles.

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Identifying Mobile Health Technology Experiences and Preferences of Low-Income Pregnant Women with Diabetes

Journal of Diabetes Science and Technology ◽

10.1177/1932296821993175 ◽

2021 ◽

pp. 193229682199317

Author(s):

Karolina Leziak ◽

Eleanor Birch ◽

Jenise Jackson ◽

Angelina Strohbach ◽

Charlotte Niznik ◽

...

Keyword(s):

Pregnant Women ◽

Mobile Health ◽

Low Income ◽

Self Regulation ◽

Health Inequities ◽

Comparison Method ◽

Rapid Expansion ◽

Self Management ◽

Postpartum Women ◽

Design Elements

Background: Rapid expansion of mobile technology has resulted in the development of many mobile health (“mHealth”) platforms for health monitoring and support. However, applicability, desirability, and extent of tailoring of these platforms for pregnant women, particularly in populations who experience the greatest health inequities—such as women with diabetes mellitus (DM) and/or those with greater socioeconomic barriers—remains unknown. The objective is to understand low-income pregnant women’s experiences and preferences for mHealth tools to support DM health and improve DM self-management during pregnancy. Methods: Low-income pregnant and postpartum women were included in individual interviews or focus groups; women with type 2 DM, gestational DM, or no DM were included. Analysis was performed with the constant comparison method. Results: In this population of 45 ( N=37 with DM) low-income, largely minority, pregnant and postpartum women, 100% reported access to smartphones and prior experience with apps. Interest in mHealth to support health and engagement during pregnancy was high. Preferences for general mHealth features included education that reduces uncertainty, support communities, visualizing progress, convenient access to information, and support for better management of pregnancy-related tasks. Preferred design elements included personalization, interactive features, and integrated graphics. Women with DM expressed multiple additional DM-specific needs, including support tools for DM self-management and self-regulation tasks. Conclusion: Pregnant and postpartum women, especially those with DM, desire mHealth technology to support engagement and to adapt lifestyle guidelines and treatment requirements for a healthy pregnancy. Further work to develop mHealth interventions tailored for target populations remains a key step in reducing health inequities and promoting access to evidence-based perinatal health interventions.

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Perceptions of Using Multiple Mobile Health Devices to Support Self‐Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study

Journal of Nursing Scholarship ◽

10.1111/jnu.12667 ◽

2021 ◽

Author(s):

Allison A. Lewinski ◽

Jacqueline Vaughn ◽

Anna Diane ◽

Angel Barnes ◽

Matthew J. Crowley ◽

...

Keyword(s):

Type 2 Diabetes ◽

Mobile Health ◽

Descriptive Study ◽

Self Management ◽

Qualitative Descriptive

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83 A Medication Self-Management Intervention to Improve Medication Adherence For Older People with Multimorbidity: A Pilot Study

Age and Ageing ◽

10.1093/ageing/afab030.44 ◽

2021 ◽

Vol 50 (Supplement_1) ◽

pp. i12-i42

Author(s):

C Yang ◽

Z Hui ◽

S Zhu ◽

X Wang ◽

G Tang ◽

...

Keyword(s):

Medication Adherence ◽

Pilot Study ◽

Older People ◽

Intervention Group ◽

Self Management ◽

Control Group ◽

Medication Knowledge ◽

Management Intervention ◽

Patient Reported

Abstract Introduction Medication self-management support has been recognised as an essential element in primary health care to promote medication adherence and health outcomes for older people with chronic conditions. A patient-centred intervention empowering patients and supporting medication self-management activities could benefit older people. This pilot study tested a newly developed medication self-management intervention for improving medication adherence among older people with multimorbidity. Method This was a two-arm randomised controlled trial. Older people with multimorbidity were recruited from a community healthcare centre in Changsha, China. Participants were randomly allocated to either a control group receiving usual care (n = 14), or to an intervention group receiving three face-to-face medication self-management sessions and two follow-up phone calls over six weeks, targeting behavioural determinants of adherence from the Information-Motivation-Behavioural skills model (n = 14). Feasibility was assessed through recruitment and retention rates, outcome measures collection, and intervention implementation. Follow-up data were measured at six weeks after baseline using patient-reported outcomes including medication adherence, medication self-management capabilities, treatment experiences, and quality of life. Preliminary effectiveness of the intervention was explored using generalised estimating equations. Results Of the 72 approached participants, 28 (38.89%) were eligible for study participation. In the intervention group, 13 participants (92.86%) completed follow-up and 10 (71.42%) completed all intervention sessions. Ten participants (71.42%) in the control group completed follow-up. The intervention was found to be acceptable by participants and the intervention nurse. Comparing with the control group, participants in the intervention group showed significant improvements in medication adherence (β = 0.26, 95%CI 0.12, 0.40, P < 0.001), medication knowledge (β = 4.43, 95%CI 1.11, 7.75, P = 0.009), and perceived necessity of medications (β = −2.84, 95%CI -5.67, −0.01, P = 0.049) at follow-up. Conclusions The nurse-led medication self-management intervention is feasible and acceptable among older people with multimorbidity. Preliminary results showed that the intervention may improve patients’ medication knowledge and beliefs and thus lead to improved adherence.

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Leveraging mobile health technology and research methodology to optimize patient education and self-management support for advanced cancer pain

Supportive Care in Cancer ◽

10.1007/s00520-021-06146-4 ◽

2021 ◽

Author(s):

Desiree R. Azizoddin ◽

Rosalind Adam ◽

Daniela Kessler ◽

Alexi A. Wright ◽

Benjamin Kematick ◽

...

Keyword(s):

Patient Education ◽

Cancer Pain ◽

Advanced Cancer ◽

Mobile Health ◽

Research Methodology ◽

Health Technology ◽

Self Management ◽

Management Support ◽

Mobile Health Technology

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Diabetes self-management among low-income spanish-speaking patients: A pilot study

Annals of Behavioral Medicine ◽

10.1207/s15324796abm2903_9 ◽

2005 ◽

Vol 29 (3) ◽

pp. 225-235 ◽

Cited By ~ 95

Author(s):

Milagros C. Rosal ◽

Barbara Olendzki ◽

George W. Reed ◽

Olga Gumieniak ◽

Jeffrey Scavron ◽

...

Keyword(s):

Pilot Study ◽

Low Income ◽

Self Management ◽

Spanish Speaking

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Motivational Interviewing Training: A Pilot Study of the Effects on Practitioner and Patient Behaviour

Behavioural and Cognitive Psychotherapy ◽

10.1017/s1352465809990531 ◽

2009 ◽

Vol 38 (2) ◽

pp. 239-244 ◽

Cited By ~ 11

Author(s):

Eileen Britt ◽

Neville M. Blampied

Keyword(s):

Pilot Study ◽

Motivational Interviewing ◽

Nurse Educators ◽

Self Management ◽

Motivational Enhancement Therapy ◽

Motivational Enhancement ◽

Patient Behaviour ◽

Problem Behaviours ◽

Health Practitioners ◽

Health Related

Background: While Motivational Interviewing (MI) is effective in reducing client problem behaviours, including health-related behaviours, there is little evidence about how MI training enhances practitioner skills. Aims: The current pilot study addressed this lack by training two health practitioners (Diabetes Nurse Educators) in MI, and evaluated the effect of MI training on both practitioner and patient behaviour when MI was delivered in a clinical settting, with patients experiencing difficulties with diabetes self-management. Methods: Comparisons were made between the practitioners’ skills in a baseline condition (Patient Education; PE) and after training in Motivational Enhancement Therapy (MET), a four-session form of MI. At the same time, the effects of the two interventions on patient in-session behaviour were compared. Practitioner and patient data were obtained from transcripts of all PE and MET sessions, which were independently coded using Motivational Interviewing Skills Code therapist and client behaviour counts. Results: Compared with their baseline performance, practitioners, when trained to practice MET, behaved in ways consistent with MI, and this appears to have evoked beneficial in-session behaviour from the patients. Conclusions: These results suggest that the MI training was effective.

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Mobile Health Applications to Support COVID-19 Self-management: Review and Evaluation

Applied Health Information Technology ◽

10.18502/ahit.v2i2.7992 ◽

2021 ◽

Author(s):

Sahar Khenarinezhad ◽

Ehsan Ghazanfari Savadkoohi ◽

Leila Shahmoradi

Keyword(s):

Mobile Health ◽

Mobile Apps ◽

Healthcare Providers ◽

Vital Signs ◽

Complete Information ◽

Self Management ◽

Management Measures ◽

Management Procedures ◽

Mobile Health Applications ◽

Health Applications

Aim: During the epidemic and with an increase in coronavirus (COVID-19) disease prevalence, emergency care is essential to help people stay informed and undertake self-management measures to protect their health. One of these self-management procedures is the use of mobile apps in health. Mobile health (mHealth) applications include mobile devices in collecting clinical health data, sharing healthcare information for practitioners and patients, real-time monitoring of patient vital signs, and the direct provision of care (via mobile telemedicine). Mobile apps are increasing to improve health, but before healthcare providers can recommend these applications to patients, they need to be sure the apps will help change patients' lifestyles. Method: A search was conducted systematically using the keywords "Covid-19," "Coronavirus," "Covid-19, and Self-management" at the "Apple App Store". Then we evaluated the apps according to MARS criteria in May 2020. Results: A total of 145 apps for COVID-19 self-management were identified, but only 32 apps met our inclusion criteria after being assessed. The overall mean MARS score was 2.9 out of 5, and more than half of the apps had a minimum acceptability score (range 2.5-3.9). The "who academy" app received the highest functionality score. Who Academy, Corona-Care and First Responder COVID-19 Guide had the highest scores for behavior change. Conclusion: Our findings showed that few apps meet the quality, content, and functionality criteria for Covid-19 self-management. Therefore, developers should use evidence-based medical guidelines in creating mobile health applications so that, they can provide comprehensive and complete information to both patients and healthcare provider.

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