Designing Mobile Health Technologies for Self-Monitoring: The Bite Counter as a Case Study

Mobile Health ◽  
2017 ◽  
pp. 101-120 ◽  
Author(s):  
Eric R. Muth ◽  
Adam Hoover
2020 ◽  
Vol 27 (5) ◽  
pp. 667-676 ◽  
Author(s):  
Ryan J Shaw ◽  
Q Yang ◽  
A Barnes ◽  
D Hatch ◽  
M J Crowley ◽  
...  

Abstract Objective The purpose of this study was to examine the use of multiple mobile health technologies to generate and transmit data from diverse patients with type 2 diabetes mellitus (T2DM) in between clinic visits. We examined the data to identify patterns that describe characteristics of patients for clinical insights. Methods We enrolled 60 adults with T2DM from a US healthcare system to participate in a 6-month longitudinal feasibility trial. Patient weight, physical activity, and blood glucose were self-monitored via devices provided at baseline. Patients also responded to biweekly medication adherence text message surveys. Data were aggregated in near real-time. Measures of feasibility assessing total engagement in device submissions and survey completion over the 6 months of observation were calculated. Results It was feasible for participants from different socioeconomic, educational, and racial backgrounds to use and track relevant diabetes-related data from multiple mobile health devices for at least 6 months. Both the transmission and engagement of the data revealed notable patterns and varied by patient characteristics. Discussion Using multiple mobile health tools allowed us to derive clinical insights from diverse patients with diabetes. The ubiquitous adoption of smartphones across racial, educational, and socioeconomic populations and the integration of data from mobile health devices into electronic health records present an opportunity to develop new models of care delivery for patients with T2DM that may promote equity as well.


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.


2020 ◽  
Author(s):  
Ryan Shaw ◽  
Marissa Stroo ◽  
Christopher Fiander ◽  
Katlyn McMillan

UNSTRUCTURED Mobile health (mHealth) technologies, such as wearable devices and sensors that can be placed in the home, allow for the capture of physiologic, behavioral, and environmental data from patients between clinic visits. The inclusion of these data in the medical record may benefit patients and providers. Most health systems now have electronic health records (EHRs), and the ability to pull and send data to and from mobile devices via smartphones and other methods is increasing; however, many challenges exist in the evaluation and selection of devices to integrate to meet the needs of diverse patients with a range of clinical needs. We present a case report that describes a method that our health system uses, guided by a telehealth model to evaluate the selection of devices for EHR integration.


10.2196/23314 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e23314
Author(s):  
Ryan Shaw ◽  
Marissa Stroo ◽  
Christopher Fiander ◽  
Katlyn McMillan

Mobile health (mHealth) technologies, such as wearable devices and sensors that can be placed in the home, allow for the capture of physiologic, behavioral, and environmental data from patients between clinic visits. The inclusion of these data in the medical record may benefit patients and providers. Most health systems now have electronic health records (EHRs), and the ability to pull and send data to and from mobile devices via smartphones and other methods is increasing; however, many challenges exist in the evaluation and selection of devices to integrate to meet the needs of diverse patients with a range of clinical needs. We present a case report that describes a method that our health system uses, guided by a telehealth model to evaluate the selection of devices for EHR integration.


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

2021 ◽  
Vol 2021 (8) ◽  
Author(s):  
Marah Elfghi ◽  
Denise Dunne ◽  
Jennifer Jones ◽  
Irene Gibson ◽  
Gerard Flaherty ◽  
...  

Author(s):  
Przemysław Banasik ◽  
Katarzyna Metelska-Szaniawska ◽  
Małgorzata Godlewska ◽  
Sylwia Morawska

AbstractThe goal of this paper is to identify factors which affect judges’ productivity and career choice motives with the view of increasing judicial efficiency. Specifically, the investigation focuses on such aspects as judges’ remuneration, promotion, threat of judgment revocation, service/mission, periodic assessment, the threat of a complaint about protracted proceedings or of disciplinary proceedings, the threat of destabilization of the employment relationship, status/prestige of the profession, power/authority, social recognition, leisure, as well as administrative supervision and self-monitoring. To this end, a survey was conducted among judges of three of the largest Polish regional courts and subordinate district courts. The descriptive and statistical analyses show that judges’ care for the number of cases resolved, proxying for their productivity, is significantly correlated with self-monitoring of their adjudication activity. The stability of employment, the status/prestige of the profession and a relatively high remuneration are the most important factors in terms of judges’ career choices. In their care for the number of cases resolved remuneration is, albeit, no longer a relevant factor. Judges monitor their productivity due to reasons other than remuneration, possibly the sense of service/mission and the threat of various adverse consequences, the evidence for which is, however, also rather weak.


2017 ◽  
Vol 41 (S1) ◽  
pp. S39-S39
Author(s):  
S. Galderisi ◽  
F. Caputo

IntroductionMobile health (m-health) technology has been growing rapidly in the last decades. The use of this technology represents an advantage, especially for reaching patients who otherwise would have no access to healthcare. However, many ethical issues arise from the use of m-health. Health equity, privacy policies, adequate informed consent and a competent, safe and high quality healthcare need to be guaranteed; professional standards and quality of doctor-patient relationship in the digital setting should not be lower than those set for in-person practice.AimsTo assess advantages and threats that may arise from the wide use of m-health technologies, in order to guarantee the application of the best medical practices, resulting in the highest quality healthcare.MethodsA literature search has been conducted to highlight the most pressing ethical issues emerging from the spreading of m-health technologies.ResultsFew ethical guidelines on the appropriate use of m-health have been developed to help clinicians adopt a professional conduct within digital settings. They focus on the need for professional associations to define ethical guidelines and for physicians to take care of their education and online behavior when using m-health technologies.ConclusionsThe rapid spreading of m-health technologies urges us to evaluate all ethical issues related to its use. It would be advisable to produce an ethical code for the use of these new technologies, to guarantee health equity, privacy protection, high quality doctor-patient relationships and to ensure that m-health is not chosen over traditional care for merely economic purposes.Disclosure of interestSG received honoraria or Advisory board/consulting fees from the following companies: Lundbeck, Janssen Pharmaceuticals, Hoffman-La Roche, Angelini-Acraf, Otsuka, Pierre Fabre and Gedeon-Richter. All other authors have declared.


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