scholarly journals Smartphone Ownership and Interest in Mobile Health Technologies for Self-care Among Patients With Chronic Heart Failure: Cross-sectional Survey Study (Preprint)

2021 ◽  
Author(s):  
Jonathan W Leigh ◽  
Ben S Gerber ◽  
Christopher P Gans ◽  
Mayank M Kansal ◽  
Spyros Kitsiou

BACKGROUND Heart failure (HF) is a highly prevalent chronic condition that places a substantial burden on patients, families, and health care systems worldwide. Recent advances in mobile health (mHealth) technologies offer great opportunities for supporting many aspects of HF self-care. There is a need to better understand patients’ adoption of and interest in using mHealth for self-monitoring and management of HF symptoms. OBJECTIVE The purpose of this study is to assess smartphone ownership and patient attitudes toward using mHealth technologies for HF self-care in a predominantly minority population in an urban clinical setting. METHODS We conducted a cross-sectional survey of adult outpatients (aged ≥18 years) at an academic outpatient HF clinic in the Midwest. The survey comprised 34 questions assessing patient demographics, ownership of smartphones and other mHealth devices, frequently used smartphone features, use of mHealth apps, and interest in using mHealth technologies for vital sign and HF symptom self-monitoring and management. RESULTS A total of 144 patients were approached, of which 100 (69.4%) participated in the study (63/100, 63% women). The participants had a mean age of 61.3 (SD 12.25) years and were predominantly Black or African American (61/100, 61%) and Hispanic or Latino (18/100, 18%). Almost all participants (93/100, 93%) owned a cell phone. The share of patients who owned a smartphone was 68% (68/100). Racial and ethnic minorities that identified as Black or African American or Hispanic or Latino reported higher smartphone ownership rates compared with White patients with HF (45/61, 74% Black or African American and 11/18, 61% Hispanic or Latino vs 9/17, 53% White). There was a moderate and statistically significant association between smartphone ownership and age (Cramér <i>V</i> [Φ<sub>C</sub>]=0.35; <i>P</i>&lt;.001), education (Φ<sub>C</sub>=0.29; <i>P</i>=.001), and employment status (Φ<sub>C</sub>=0.3; <i>P</i>=.01). The most common smartphone features used by the participants were SMS text messaging (51/68, 75%), internet browsing (43/68, 63%), and mobile apps (41/68, 60%). The use of mHealth apps and wearable activity trackers (eg, Fitbits) for self-monitoring of HF-related parameters was low (15/68, 22% and 15/100, 15%, respectively). The most popular HF-related self-care measures participants would like to monitor using mHealth technologies were physical activity (46/68, 68%), blood pressure (44/68, 65%), and medication use (40/68, 59%). CONCLUSIONS Most patients with HF have smartphones and are interested in using commercial mHealth apps and connected health devices to self-monitor their condition. Thus, there is a great opportunity to capitalize on the high smartphone ownership among racial and ethnic minority patients to increase reach and enhance HF self-management through mHealth interventions.

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 41-41
Author(s):  
H. Chen ◽  
S. Heiney ◽  
E. Shi ◽  
S. Levkoff

2020 ◽  
Vol 6 ◽  
Author(s):  
Andrea Mortara ◽  
Lucia Vaira ◽  
Vittorio Palmieri ◽  
Massimo Iacoviello ◽  
Ilaria Battistoni ◽  
...  

Treatment of chronic diseases, such as heart failure, requires complex protocols based on early diagnosis; self-monitoring of symptoms, vital signs and physical activity; regular medication intake; and education of patients and caregivers about relevant aspects of the disease. Smartphones and mobile health applications could be very helpful in improving the efficacy of such protocols, but several barriers make it difficult to fully exploit their technological potential and produce clear clinical evidence of their effectiveness. App suppliers do not help users distinguish between useless/dangerous apps and valid solutions. The latter are few and often characterised by rapid obsolescence, lack of interactivity and lack of authoritative information. Systematic reviews can help physicians and researchers find and assess the ‘best candidate solutions’ in a repeatable manner and pave the way for well-grounded and fruitful discussion on their clinical effectiveness. To this purpose, the authors assess 10 apps for heart failure self-care using the Intercontinental Marketing Statistics score and other criteria, discuss the clinical effectiveness of existing solutions and identify barriers to their use in practice and drivers for change.


2018 ◽  
Author(s):  
Ponrathi Athilingam ◽  
Bradlee Jenkins

BACKGROUND With an explosive growth in mobile health, an estimated 500 million patients are potentially using mHealth apps for supporting health and self-care of chronic diseases. Therefore, this review focused on mHealth apps for use among patients with heart failure. OBJECTIVE The aim of this integrative review was to identify and assess the functionalities of mHealth apps that provided usability and efficacy data and apps that are commercially available without supporting data, all of which are to support heart failure self-care management and thus impact heart failure outcomes. METHODS A search of published, peer-reviewed literature was conducted for studies of technology-based interventions that used mHealth apps specific for heart failure. The initial database search yielded 8597 citations. After filters for English language and heart failure, the final 487 abstracts was reviewed. After removing duplicates, a total of 18 articles that tested usability and efficacy of mobile apps for heart failure self-management were included for review. Google Play and Apple App Store were searched with specified criteria to identify mHealth apps for heart failure. A total of 26 commercially available apps specific for heart failure were identified and rated using the validated Mobile Application Rating Scale. RESULTS The review included studies with low-quality design and sample sizes ranging from 7 to 165 with a total sample size of 847 participants from all 18 studies. Nine studies assessed usability of the newly developed mobile health system. Six of the studies included are randomized controlled trials, and 4 studies are pilot randomized controlled trials with sample sizes of fewer than 40. There were inconsistencies in the self-care components tested, increasing bias. Thus, risk of bias was assessed using the Cochrane Collaboration’s tool for risk of selection, performance, detection, attrition, and reporting biases. Most studies included in this review are underpowered and had high risk of bias across all categories. Three studies failed to provide enough information to allow for a complete assessment of bias, and thus had unknown or unclear risk of bias. This review on the commercially available apps demonstrated many incomplete apps, many apps with bugs, and several apps with low quality. CONCLUSIONS The heterogeneity of study design, sample size, intervention components, and outcomes measured precluded the performance of a systematic review or meta-analysis, thus introducing bias of this review. Although the heart failure–related outcomes reported in this review vary, they demonstrated trends toward making an impact and offer a potentially cost-effective solution with 24/7 access to symptom monitoring as a point of care solution, promoting patient engagement in their own home care.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 740-740
Author(s):  
Tung-Sung Tseng ◽  
Yu Hsiang Kao ◽  
Mirandy Li

Abstract Smoking has been observed to associate with an elevated severity of disease and risk of mortality among people with COVID-19. Additionally, African American smokers have higher rates of mortality from lung cancer than other racial/ethnic groups. Low dose computed tomography (LDCT) screening can detect lung cancer early to decrease lung cancer-specific mortality for current smokers but remains under-utilized among these population. However, we know little about the effect of COVID-19 pandemic on smoking behavior changes among African American smokers who qualify for LDCT screening. This study recruited 60 African American daily smokers seen in primary care clinics, who qualified to receive LDCT screening in a New Orleans, LA hospital. A total of 22 participants (36.7%) completed anonymous cross-sectional survey that collected demographic, disease history, tobacco use, and smoking cessation behaviors during the period of COVID-19 pandemic via phone interview. The majority were older (61.2 [SD=4.7]), female (77.3%), earned annual income less than $20,000 (100.0%), had Medicaid (63.6%), overweight/obesity (72.7%), planned to quit smoking within 6 months (52.4%), and would consider taking LDCT screening after COIVD-19 pandemic (95.2%). Half of smokers reported they have been diagnosed hypertension (47.6%), diabetes (52.4%), and arthritis (57.1%). Regarding health behavior changes, 42.9% smokers reported they smoked more, felt more stress (42.9%) and anxiety (33.4%) after COVID-19 outbreak. Smoking cessation programs may focus on this high-risk minority population in the post COVID-19 pandemic to help them decrease cigarette smoking and enhance their motivation to quit smoking.


2010 ◽  
Vol 6 (1) ◽  
pp. 22-33 ◽  
Author(s):  
Ann-Marie Rosland ◽  
Michele Heisler ◽  
Hwa-Jung Choi ◽  
Maria J. Silveira ◽  
John D. Piette

Objectives: Among functionally independent patients with diabetes or heart failure, we examined family member support and family-related barriers to self-care. We then identified patient characteristics associated with family support and family barriers and how each was associated with self-management adherence. Methods: Cross-sectional survey of 439 patients with diabetes or heart failure (74% response rate). Results: 75% of respondents reported supportive family involvement in self-care; however, 25% reported frequent family-related barriers to self-care. Women reported family support less often (64% v. 77%) and family barriers to self-care more often (30% v. 21%) than men. 78% of respondents reported involved family members nagged or criticized them about illness care. In multivariate models, low health literacy, partnered status and higher family function were associated with higher family support levels, while female gender, older age, higher education, and more depression symptoms were associated with family barriers to self-care. Family barriers were associated with lower disease care self-efficacy (p<0.01), and both barriers and family support were associated with patients’ self-management adherence (both p<0.05). Discussion: Family members are highly involved in the self-care of these higher functioning patients. Interventions should help patients with chronic illness overcome family barriers to self-care and help families use positive and effective support techniques.


JMIR Cardio ◽  
10.2196/31982 ◽  
2021 ◽  
Author(s):  
Jonathan Leigh ◽  
Ben S Gerber ◽  
Christopher P Gans ◽  
Mayank M Kansal ◽  
Spyros Kitsiou

2020 ◽  
Author(s):  
Michael P. Dorsch ◽  
Karen B. Farris ◽  
Brigid E. Rowell ◽  
Scott L. Hummel ◽  
Todd M. Koelling

BACKGROUND Successful management of heart failure (HF) involves guideline based medical therapy as well as self-care behavior. As a result, the management of HF is moving toward a proactive real-time technological model of assisting patients with monitoring and self-management. OBJECTIVE Evaluate the effectiveness of a mobile application intervention that enhances self-monitoring on health-related quality of life, self-management, and reduces HF readmissions. METHODS A single-center randomized controlled trial was performed. Patients greater than 45 years of age and admitted for acute decompensated HF or recently discharged in the past 4 weeks were included. The intervention group used a mobile application (App). The intervention prompted daily self-monitoring and promoted self-management. The control group (No App) received usual care. The primary outcome was the change in Minnesota Living with Heart Failure Questionnaire (MLHFQ) from baseline to 6 and 12 weeks. Secondary outcomes were the Self-Care Heart Failure Index (SCHFI) questionnaire and recurrent HF admissions. RESULTS Eighty-three patients were enrolled and completed all baseline assessments. Baseline characteristics were similar between groups with the exception of HF etiology. The App group had a reduced MLHFQ at 6 weeks (37.5 ± 3.5 vs. 48.2 ± 3.7, P=0.039) but not at 12 weeks (44.2 ± 4 vs. 45.9 ± 4, P=0.778) compared to No App. There was no effect of the App on the SCHFI at 6 or 12 weeks. The time to first HF admission was not statistically different between the App versus No App groups (HR 0.89, 95% CI 0.39-2.02, P=0.781) over 12 weeks. CONCLUSIONS The mobile application intervention improved MLHFQ at 6 weeks, but did not sustain its effects at 12 weeks. No effect was seen on HF self-care. Further research is needed to enhance engagement in the application for a longer period of time and to determine if the application can reduce HF admissions in a larger study. CLINICALTRIAL NCT03149510


2020 ◽  
pp. 201010582096214
Author(s):  
Tsegu Hailu Gebru ◽  
Haftea Hagos Mekonen ◽  
Kbrom Gemechu Kiros

Background: Good knowledge of self-care related to heart failure (HF) is key to improve patient outcomes. However, information regarding how much patients know about self-care is lacking in developing countries, particularly in the study setting. Objective: The objectives of this study were to assess HF patients’ knowledge about self-care and to explore predictors among HF patients in Ayder comprehensive specialised referral hospital, Tigray, Ethiopia. Methods: This hospital-based cross-sectional study design was undertaken in Ayder comprehensive specialised referral hospital, Tigray, Ethiopia. A total of 408 HF patients participated, and the study was done between February and April 2018. An interviewer-assisted structured questionnaire was used to collect data. Bivariate logistic regression and multivariable logistic regression were conducted to identify the predictors associated with knowledge about self-care. Results: The mean age of the participants was 45.4 years (standard deviation=19 years). Around 255 (62.5%) of the participants had poor self-care knowledge. Age, New York Heart Association classes, duration of the disease and previous hospitalisation were the factors associated with knowledge about self-care. Conclusion: More than half of all participants had poor knowledge about self-care. Improving existing prevention strategies and strengthening patients’ knowledge are recommended to address this knowledge deficit.


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