mHealth最新文献

Background: Applying a digital health intervention to measure health and wellbeing status offers opportunities to guide and augment healthcare and promotion. In our scenario, we consider mainly digital-native patients and present an evaluation of a new Healthcare Magenta Scorecard towards this end.

Methods: Grounded in the six domains of health and promotion (physical activity; sleep quality; nutrition; habits/lifestyle; mental health; quality of life) we developed a health Magenta Scorecard (Magenta Score), a mobile based Electronic Patient Reported Outcomes (e-PRO) that measures patients health and wellbeing every 3-5 months. The Magenta Scorecard was derived from previously published evidence-based instruments. We collected data as patients were onboarded into our healthcare system (T0 and T1, time span between measurements, 141 days) and provided correlations among our domains of care.

Results: A total of 1,622 participants responded to T0 and T1 our Magenta Scorecard. Participants mean age was 31.3 [95% confidence interval (CI): 31.2-31.5] years and female (63.4%). Fifty-five percent (n=892) of our sample were categorized as relating to Health and Wellbeing promotion, 8.5% (n=138) disease management, 35.7% (n=579) self-care care support and only 0.8% (n=13) pertained to case management. From our care coordination guided approach, our Magenta Scorecards reported mean improvement across the study cohort of 26 ± standard deviation (SD) points, from T0 (649, 95% CI: 643-656) to T1 (675, 95% CI: 668-682). Our Magenta Scorecard domains had significant, albeit weak spearman correlations.

Conclusions: We demonstrated our Magenta Scorecard rationale and its guided approach. The Magenta Scorecard displayed adequate responsiveness and was significantly correlated across all of the domains investigated. Further prospective research is needed to validate our results in the long term.

Background: Excessive gestational weight gain is associated with negative maternal and infant health outcomes. Digital health approaches may help overcome barriers to participating in lifestyle interventions requiring in-person visits. The purpose of this study was to develop and examine the feasibility of a web-based gestational weight gain intervention.

Methods: Intervention development included feedback and input from pregnant women. We conducted a 12-week one-arm pilot study during which participants engaged in an online discussion board with coaches and other pregnant women, tracked their weight gain with an interactive graph, and accessed a list of online resources for pregnancy health. Feasibility outcomes were recruitment, retention, engagement and sustained participation, intervention acceptability, and website usability. Gestational weight gain was an exploratory outcome.

Results: Participants (n=12) were on average 16.8 [standard deviation (SD): 2.0] weeks gestation with average pre-pregnancy body mass index of 30.5 (SD: 4.8) kg/m². Participant retention was 92% (n=11). Participants logged into the website a median of 21 times [interquartile range (IQR), 8-37; range, 2-98] over 12 weeks, and 58% (n=7) logged into the website during the last week of the intervention. All participants said they would be very likely or likely to participate again, and 100% said they would be very likely or likely to recommend the intervention to a pregnant friend. In post-intervention interviews, 64% (n=7) explicitly said that the website was easy to use, but 100% (n=11) mentioned usability issues. When asked their preferred intervention platform, 18% (n=2) somewhat or strongly preferred a private website, 18% (n=2) had no preference, and 64% (n=7) somewhat or strongly preferred Facebook. Seventy percent (n=7) had excessive gestational weight gain, 10% (n=1) inadequate gestational weight gain, and 20% (n=2) gained within recommended ranges.

Conclusions: Additional development work is needed before moving to efficacy testing. Most notably, usability issues with the investigator-developed website and participant preference suggest a switch to a commercial social media platform.

Background: Black young adults suffer from psychological distress at either similar or greater rates than that of White Americans, yet they are seven times less likely to have access to or receive effective treatments. Fortunately, mobile-health (mHealth) technology may transform mental health services and address disparities in mental healthcare. The current study utilized focus groups of Black young adults to inform the development of culturally-adapted mHealth using quantitative and qualitative approaches.

Methods: The study utilized a mixed-methods approach, in that qualitative (i.e., mini focus groups, n=11) and quantitative methods (i.e., self-report surveys) were used to explore the research questions. Participants included African American young adults (n=38, M_age =21). Participants completed self-report questionnaires prior to focus group facilitation. Correlational analyses were used to answer the quantitative research questions, and thematic analysis was used to answer the qualitative research questions.

Results: The qualitative findings highlighted that sociocultural experiences impact mental health and treatment seeking attitudes. Despite these findings, participants highlighted a variety of desired features and content that should be incorporated into future culturally-adapted mHealth interventions. Participants also highlighted both positive and negative aspects of current mHealth technologies for mental health. Finally, the study found that on average, participants had positive attitudes towards mental health, mental health treatments, and utilizing mHealth for mental health. Participants also had strong desires for culturally-adapted mHealth interventions. Bivariate correlations also revealed significant associations between vicarious online racial discrimination and mHealth attitudes, as well as racial identity and mHealth attitudes.

Conclusions: In summary, the current study highlights that there is an urgent need for mHealth technology for mental health symptoms for African American young adults and presents a variety of features, content, and design/development considerations for future researchers.

Background: The Roadmap mobile health (mHealth) app was developed to provide health-related quality of life (HRQOL) support for family caregivers of patients with cancer.

Methods: Eligibility included: family caregivers (age ≥18 years) who self-reported as the primary caregiver of their pediatric patient with cancer; patients (age ≥5 years) who were receiving cancer care at the University of Michigan. Feasibility was calculated as the percentage of caregivers who logged into ONC Roadmap and engaged with it at least twice weekly for at least 50% of the 120-day study duration. Feasibility and acceptability was also assessed through a Feasibility and Acceptability questionnaire and the Mobile App Rating Scale to specifically assess app-quality. Exploratory analyses were also conducted to assess HRQOL self- or parent proxy assessments and physiological data capture.

Results: Between September 2020-September 2021, 100 participants (or 50 caregiver-patient dyads) consented and enrolled in the ONC Roadmap study for 120-days. Feasibility of the study was met, wherein the majority of caregivers (N=32; 65%) logged into ONC Roadmap and engaged with it at least twice weekly for at least 50% of the study duration (defined a priori in the Protocol). The Feasibility and Acceptability questionnaire responses indicated that the study was feasible and acceptable with the majority (>50%) reporting Agree or Strongly Agree with positive Net Favorability [(Agree + Strongly Agree) - (Disagree + Totally Disagree)] in each of the domains (e.g., Fitbit use, ONC Roadmap use, completing longitudinal assessments, engaging in similar future study, study expectations). Improvements were seen across the majority of the mental HRQOL domains across all groups; even though underpowered, there were significant improvements in caregiver-specific aspects of HRQOL and anxiety and in depression and fatigue for children (ages 8-17 years), and a trend toward improvement in depression for children ages 8-17 years and in fatigue for adult patients.

Conclusions: This study supports that mHealth technology may be a promising platform to provide HRQOL support for caregivers of pediatric patients with cancer. Importantly, the findings suggest that the study protocol was feasible, and participants were favorable to participate in future studies of this intervention alongside routine cancer care delivery.

Background: Rapid weight gain and overweight in infancy are associated with childhood obesity. Thus, effective, accessible interventions to promote healthy infant feeding practices to prevent early obesity are essential.

Methods: This mixed-methods study involved diverse parents of infants in an urban, low-income pediatric clinic. Qualitative interviews explored parental attitudes towards feeding, early obesity, and communication with the pediatrician. A pilot, randomized controlled trial (RCT) informed by feedback provided by clinic parents compared text messages delivered for 12 months promoting healthy feeding practices to usual care to prevent early pediatric obesity. A computer-generated randomization schedule with balanced distribution for sex was used to place infants into groups. Weight-for-length percentiles and z-scores and feeding practices were measured at 0-2 weeks (baseline), 2-4 months, 6-9 months, and 12 months. Interviews were recorded, transcribed, and coded using thematic analysis. Weight for length percentile, Weight for length z scores, and feeding practices were compared between groups using repeated measures mixed analysis of variance (ANOVA).

Results: Participants in the interviews were 15 parents of infants less than 1 month old. RCT participants were 38 parents of newborns (17 control; 21 intervention). Most parents in the qualitative evaluation viewed breastfeeding positively but also discussed barriers. Most also wanted practical information regarding infant feeding. There were no differences in weight-for-length percentile (F=0.52; P=0.60) or z-scores (F=0.7922; P=0.79), breastfeeding persistence χ²[1] =1.45, P=0.23, or age of introduction of solids in the intervention (statistical analysis not possible due to low counts) compared to the control group; however, low response to surveys limited the study's power.

Conclusions: Text messaging has potential to extend the healthcare provider's communication beyond clinic. However, texting interventions should be flexible to mitigate barriers such as loss of phone service and challenges customizing messages to parent needs.

Background: Women around the globe are increasingly engaging with pregnancy and parenting apps, almost becoming a routine part of the maternity experience. However, little is known about what perinatal women and health care professionals feel about those apps in Latin American countries, where the digital transformation has been slower but where digital technologies could also bridge gaps in access to quality health care.

Methods: This study aimed to assess views towards pregnancy and parenting apps in perinatal women and perinatal health care professionals in Chile through an online survey. In perinatal women, we explored app use, what they value in the apps they use, and what an "ideal app" would be for them. In health professionals, we explored opinions about women using perinatal apps and what they think a perfect app for their clients would be.

Results: The survey was completed by 451 perinatal women and 54 perinatal health care professionals. Results show that perinatal women in Chile frequently use perinatal apps, and they and health care professionals show a positive attitude towards them. The most valued attributes are information and monitoring of body changes during pregnancy, information and monitoring of the baby's development (in the uterus and after birth), information and tips on how to stay healthy, and having the possibility to interact with other women.

Conclusions: Perinatal apps are accepted by perinatal women and health care professionals in Chile. Some needs for an "ideal app" emerged. Participants mentioned the need to address mental health, including the mental health of their partner, and the need for support during the transition to parenthood.

Background: Gay, bisexual, and other men who have sex with men (GBMSM) continue to be overrepresented in human immunodeficiency virus (HIV) infection in the United States. HIV prevention and care interventions that are tailored to an individual's serostatus have the potential to lower the rate of new infections among GBMSM. Mobile technology is a critical tool for disseminating targeted messaging and increasing uptake of basic prevention services including HIV testing, sexually transmitted infection (STI) testing, and pre-exposure prophylaxis (PrEP). Mobile Messaging for Men (M-Cubed) is a mobile health HIV prevention intervention designed to deliver video- and text-based prevention messages, provide STI and HIV information, and link GBMSM to prevention and healthcare resources. The current report describes an iterative process of identifying and selecting publicly available videos to be used as part of the M-Cubed intervention. We also conducted interviews with GBMSM to assess the acceptability, comprehension, and potential audience reach of the selected video messages.

Methods: The selection of videos included balancing of specific criteria [e.g., accuracy of scientific information, video length, prevention domains: HIV/STI testing, antiretroviral therapy (ART), PrEP, engagement in care, and condom use] to ensure that they were intended for our GBMSM audiences: HIV-negative men who engage in condomless anal sex, HIV-negative men who do not engage in condomless anal sex, and men living with HIV. This formative study included in-person interviews with 26 GBMSM from three U.S. cities heavily impacted by the HIV epidemic-New York City, Detroit, and Atlanta.

Results: Following a qualitative content analysis, the study team identified five themes across the interviews: participant reactions to the video messages, message comprehension, PrEP concerns, targeting of video messaging, and prompted action.

Conclusions: Study results informed a final selection of 12 video messages for inclusion in a randomized controlled trial of M-Cubed. Findings may serve as a guide for researchers who plan to develop HIV prevention interventions that utilize publicly available videos to promote behavioral change. Further, the findings presented here suggest the importance of developing videos with broad age and gender diversity for use in interventions such as M-Cubed, and in other health promotion settings.

Background: Due to decreased access to sexual and reproductive health (SRH) services and an increase in depressive symptoms, the coronavirus disease 2019 (COVID-19) pandemic has exacerbated the risk of unsafe sexual behaviors among already vulnerable young adults assigned female at birth (AFAB). Despite its potential for improving SRH outcomes, little is known about how young adults view virtual SRH counseling. We designed a survey to examine these perspectives and further characterize pandemic-associated changes in mood and healthcare access in young adults AFAB.

Methods: Patients of a Midwest family planning organization who were AFAB and aged 21-24 years were recruited via convenience sampling between May and September 2021. Participants answered survey questions about how they perceived that the pandemic had affected their mood and healthcare access. The Patient Health Questionnaire (PHQ)-8 assessed depressive symptoms. Additional questions probed SRH risk behaviors and experience with and opinions on virtual healthcare and research. Non-responses to questions were not included in analyses. Associations among these variables were analyzed using non-parametric bivariate tests (chi-square and Mann-Whitney U).

Results: One hundred twenty people participated in the survey. Participants had a median age of 22 years and self-identified predominantly as female and White. Three-quarters of respondents reported their mood worsened as a result of the pandemic and more than 3 in 10 had depression. Those reporting pandemic-worsened mood had more severe depressive symptoms than those who did not (U=722.500, P=0.005). Most reported sexual intercourse in the past 3 months, nearly all of whom reported at least one SRH risk. Pandemic mood impacts were not associated with SRH risk. One in four participants reported pandemic-associated difficulty accessing healthcare, which was not associated with depression or SRH risk. Most reported comfort with videoconference healthcare, including technology, speaking with a provider, and having enough privacy.

Conclusions: The COVID-19 pandemic has increased depression and SRH risk among young adults AFAB and, at the same, impeded their access to healthcare. The study findings suggest that no matter the degree of depression or presence of SRH risk, videoconferencing may be an acceptable option for advancing research and addressing unmet SRH needs in this population.

Background: mHealth technology can be used as a potential intervention for alcohol-related consequences. Applications designed to monitor alcohol use and relay information to the user may help to reduce risky behavior. Acceptability of such applications needs to be assessed.

Methods: Survey data from 139 participants (29.8 years on average, 58% female) completing a single-session study for developing an application to detect blood alcohol concentration (BAC) from gait was analyzed to examine user preferences. Participants reported on their interest in an application for monitoring BAC from gait. Participants also reported on their preference for controlling features of the application. Acceptability and feasibility data were collected. Data were examined for the entire sample as well as differences in preference by age and gender were examined.

Results: The majority of the sample indicated that they were interested in using an mHealth application to infer BAC from their gait. Users were interested in being able to control features of the application, such as monitoring BAC and reporting information to other individuals. Adults, as compared to emerging adults, preferred the ability to turn off the BAC-monitoring feature of the app. Females reported a preference for an app that does not allow the user to turn off notifications for BAC as well as safety features of the app.

Conclusions: Results of the survey data indicate general interest in mHealth technology that monitors BAC from passive input. These results suggest that such an app may be accepted and used as an intervention for monitoring alcohol levels, which could mediate drinking and alcohol-related consequences.