Requiring smartphone ownership for mHealth interventions: who could be left out?

Bommakanti, Krishna; Smith, Laramie L; Liu, Lin; Do, Diana; Cuevas-Mota, Jazmine; Collins, Kelly; Muñoz, Fátima; Rodwell, Timothy C.; Garfein, Richard S.

doi:10.1186/s12889-019-7892-9

Cited by 42 publications

(45 citation statements)

References 19 publications

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“…Similarly, we observed an increasing trend in disinterest with decreasing levels of education. Prior research demonstrates that adults with lower incomes and lower levels of education display a significantly reduced odds of using digital health services and owning mobile devices [ 22 , 23 ], and as such, may be less comfortable with using devices for mobile health (mHealth) purposes. Indeed, our findings demonstrate that non-owners of mobile devices report a significantly higher lack of interest or willingness to digitally share medical images with HCPs.…”

Section: Discussionmentioning

confidence: 99%

Preferences Towards Electronically Exchanging Digital Images With Healthcare Providers Among US Adults

Wei¹,

Turner²,

Hennessy³

et al. 2021

Cureus

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Background: The rapid expansion of telemedicine, including teledermatology, during the COVID-19 pandemic has required both providers and patients alike to adapt to this digital transition. However, patient attitudes towards electronically shared images with their providers are poorly understood. To address this gap, we assessed digital image sharing preferences and associated determinants in a nationally representative sample.Methods: We analyzed pooled data from the Health Information National Trends Survey 4, Cycle 3 and 4. Digital image sharing preferences were compared by patient characteristics and beliefs via chi-square at a significance level of p<0.05, using sampling and jackknife replicate weights to develop nationally representative sample estimates and account for the complex survey design. P-values were adjusted for multiple comparisons when appropriate.Results: Among 6437 adults, 53.5% reported reluctance in electronically shared images and videos with providers. Greater aversion was observed among adults aged 75 or above (70.9%), retired (67.3%), and those with lower education (65.1%), lower annual income (60.9%), limited English proficiency (63.3%), distrust in health information from doctors (75.4%), and fair or poor health (60.4%).Conclusion: Patient hesitancy towards digital image sharing may present challenges for teledermatology adoption. Greater efforts may be needed to address the age and socioeconomic digital divide, multilingual telemedicine tools, and patient-physician dynamics to ensure vulnerable groups receive needed teledermatologic care.

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Section: Discussionmentioning

confidence: 99%

Preferences Towards Electronically Exchanging Digital Images With Healthcare Providers Among US Adults

Wei¹,

Turner²,

Hennessy³

et al. 2021

Cureus

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“…A US nonnephrology study exploring mobile health readiness in older individuals receiving health care reported high levels of access to mobile health devices and the internet, with 60% of respondents using mobile devices and the internet for health information (21). In those with chronic health conditions, device ownership is high (22,23) and attitudes are positive (24), with a willingness to replace face-to-face physician visits with mobile health (25).…”

Section: Introductionmentioning

confidence: 99%

The Mobile Health Readiness of People Receiving In-Center Hemodialysis and Home Dialysis

Hussein

Bennett

Pace

et al. 2020

CJASN

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Background and objectivesMobile health is the health care use of mobile devices, such as smartphones. Mobile health readiness is a prerequisite to successful implementation of mobile health programs. The aim of this study was to examine the status and correlates of mobile health readiness among individuals on dialysis.Design, setting, participants, & measurementsA cross-sectional 30-item questionnaire guided by the Khatun mobile health readiness conceptual model was distributed to individuals on dialysis from 21 in-center hemodialysis facilities and 14 home dialysis centers. The survey assessed the availability of devices and the internet, proficiency, and interest in using mobile health.ResultsIn total, 949 patients (632 hemodialysis and 317 home dialysis) completed the survey. Of those, 81% owned smartphones or other internet-capable devices, and 72% reported using the internet. The majority (70%) reported intermediate or advanced mobile health proficiency. The main reasons for using mobile health were appointments (56%), communication with health care personnel (56%), and laboratory results (55%). The main reported concerns with mobile health were privacy and security (18%). Mobile health proficiency was lower in older patients: compared with the 45- to 60-years group, respondents in age groups <45, 61–70, and >70 years had adjusted odds ratios of 5.04 (95% confidence interval, 2.23 to 11.38), 0.39 (95% confidence interval, 0.24 to 0.62), and 0.22 (95% confidence interval, 0.14 to 0.35), respectively. Proficiency was lower in participants with Hispanic/Latinx ethnicity (adjusted odds ratio, 0.49; 95% confidence interval, 0.31 to 0.75) and with less than college education (adjusted odds ratio for “below high school,” 0.09; 95% confidence interval, 0.05 to 0.16 and adjusted odds ratio for “high school only,” 0.26; 95% confidence interval, 0.18 to 0.39). Employment was associated with higher proficiency (adjusted odds ratio, 2.26; 95% confidence interval, 1.18 to 4.32). Although home dialysis was associated with higher proficiency in the unadjusted analyses, we did not observe this association after adjustment for other factors.ConclusionsThe majority of patients on dialysis surveyed were ready for, and proficient in, mobile health.Clinical Trial registry name and registration number: Dialysis mHealth Survey,NCT04177277

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“…Importantly, then, our study demonstrates that equitable access to mHealth app-based interventions among older adults in rural KwaZulu-Natal may require provision of smartphones and internet access to avoid perpetuating health disparities. 22 Distinct from national South African statistics, women in our rural setting were more likely than men to own cell phones and smartphones. This was surprising and perhaps hints at changing societal and cultural norms for the surveyed female population.…”

Section: Discussionmentioning

confidence: 78%

Mobile Device Usage by Gender Among High-Risk HIV Individuals in a Rural, Resource-Limited Setting

Campbell

Choi

Neils

et al. 2021

Telemedicine and e-Health

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Background: Mobile health (mHealth) is a promising tool to deliver healthcare interventions to underserved populations. We characterized the use of mobile devices in rural KwaZulu-Natal, South Africa to tailor mHealth interventions for people living with HIV and at risk for acquiring HIV in the middle-income country. Methods: We surveyed participants in community settings and offered free HIV counseling and testing. Participants selfreported their gender, age, relationship, and employment status, receipt of monthly grant, condomless sex frequency, and circumcision status (if male). Outcomes included cell phone and smartphone ownership, private data access, health information seeking, and willingness to receive healthcare messages. We performed multivariable logistic regression to assess the relationship between demographic factors and outcomes. Results: Although only 10% of the 788 individuals surveyed used the phone to seek health information, 93% of cell phone owners were willing to receive healthcare messages. Being young, female, employed, and in a relationship were associated with cell phone ownership. Smartphone owners were more likely to be young, female, and employed. Participants reporting condomless sex or lack of circumcision were significantly less likely to have private data access or to purchase data. Conclusions: mHealth interventions should be feasible in rural KwaZulu-Natal, though differ by gender. As women are more likely to own smartphones, smartphone-based mHealth interventions specifically geared to prevent the acquisition of or to support the care of HIV in young women in KwaZulu-Natal may be feasible. mHealth interventions encouraging condom use and medical male circumcision should consider the use of nonsmartphone short message service and be attuned to mobile data limitations-especially when targeting men.

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Requiring smartphone ownership for mHealth interventions: who could be left out?

Cited by 42 publications

References 19 publications

Preferences Towards Electronically Exchanging Digital Images With Healthcare Providers Among US Adults

Preferences Towards Electronically Exchanging Digital Images With Healthcare Providers Among US Adults

The Mobile Health Readiness of People Receiving In-Center Hemodialysis and Home Dialysis

Mobile Device Usage by Gender Among High-Risk HIV Individuals in a Rural, Resource-Limited Setting

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