Does knowledge matter? The role of m-Health literacy to the acceptance of m-Health applications

Huong, Tran Dinh Long Doan Doan Thi Lien

doi:10.31130/jst-ud2021-444

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Firstly, CHWs with a higher level of education were significantly more likely to perform better because they were trainable, especially in health-related matters. Various studies allude to the positive association between the CHWs' education level and performance [23,24], and mHealth adoptability [60]. Furthermore, the highly educated CHWs quickly bonded with the professional health workers and were more frequently selected for training, including on mHealth use, than their counterparts.…”

Section: Discussionmentioning

confidence: 99%

Does mHealth influence community health worker performance in vulnerable populations? A mixed methods study in a multinational refugee settlement in Uganda

Wagaba,

Musoke,

Bagonza

et al. 2023

PLOS Glob Public Health

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Community Health Workers (CHWs) provide healthcare in under-served communities, including refugee settlements, despite various challenges hindering their performance. Implementers have adopted mobile wireless technologies (m-Health) to improve the performance of CHWs in refugee settlements. We assessed the CHWs’ performance and associated factors in a multi-national refugee settlement, operating mHealth and paper-based methods. This cross-sectional study employed quantitative and qualitative data collection methods. Data for 300 CHWs was collected from implementing partners’ (IPs) databases. Nine focus group discussions (FGDs) with the CHWs and community members, two in-depth interviews (IDIs) with CHW leaders, and eight key informant interviews (KIIs) with six IPs and two local leaders were conducted. The qualitative data were analysed thematically using AtlasTi version 9 while the quantitative data were analysed at the univariate, bivariate and multivariable levels using Stata version14. The study found that only 17% of the CHWs performed optimally. The factors that significantly influenced CHW performance included education level: secondary and above (APR: 1.83, 95% CI: 1.02–3.30), having a side occupation (APR: 2.02, 95% CI: 1.16–3.52) and mHealth use (APR: 0.06, 95% CI: 0.02-.0.30). The qualitative data suggested that performance was influenced by the number of households assigned to CHWs, monetary incentives, adequacy of materials and facilitation. Particularly, mHealth was preferred to paper-based methods. Overall, the CHWs’ performance was sub-optimal; only 2 in 10 performed satisfactorily. The main factors that influenced performance included the level of education, use of mHealth, having another occupation, workload and incentivisation. CHWs and IPs preferred mHealth to paper-based methods. IPs should work to improve refugee settlement working conditions for the CHWs and adopt mHealth to improve CHW performance.

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Section: Discussionmentioning

confidence: 99%

Does mHealth influence community health worker performance in vulnerable populations? A mixed methods study in a multinational refugee settlement in Uganda

Wagaba,

Musoke,

Bagonza

et al. 2023

PLOS Glob Public Health

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Supporting Management of Noncommunicable Diseases With Mobile Health (mHealth) Apps: Experimental Study

Kela¹,

Eytam²,

Katz³

2022

JMIR Hum Factors

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Background Noncommunicable diseases (NCDs) are the leading global health problem in this century and are the principal causes of death and health care spending worldwide. Mobile health (mHealth) apps can help manage and prevent NCDs if people are willing to use them as supportive tools. Still, many people are reluctant to adopt these technologies. Implementing new apps could result in earlier intervention for many health conditions, preventing more serious complications. Objective This research project aimed to test the factors that facilitate the adoption of mHealth apps by users with NCDs. We focused on determining, first, what user interface (UI) qualities and complexity levels appeal to users in evaluating mHealth apps. We also wanted to determine whether people prefer that the data collected by an mHealth app be analyzed using a physician or an artificial intelligence (AI) algorithm. The contribution of this work is both theoretical and practical. We examined users’ considerations when adopting mHealth apps that promote healthy lifestyles and helped them manage their NCDs. Our results can also help direct mHealth app UI designers to focus on the most appealing aspects of our findings. Methods A total of 347 respondents volunteered to rate 3 models of mHealth apps based on 16 items that measured instrumentality, aesthetics, and symbolism. Respondents rated each model after reading 1 of 2 different scenarios. In one scenario, a physician analyzed the data, whereas, in the other, the data were analyzed by an AI algorithm. These scenarios tested the degree of trust people placed in AI algorithms versus the “human touch” of a human physician regarding analyzing data collected by an mHealth app. Results As shown by the responses, the involvement of a human physician in the application had a significant effect (P<.001) on the perceived instrumentality of the simple model. The complex model with more controls was rated significantly more aesthetic when associated with a physician performing data analysis rather than an AI algorithm (P=.03). Conclusions Generally, when participants found a human touch in the mHealth app (connection to a human physician who they assumed would analyze their data), they judged the app more favorably. Simple models were evaluated more positively than complex ones, and aesthetics and symbolism were salient predictors of preference. These trends suggest that designers and developers of mHealth apps should keep the designs simple and pay special attention to aesthetics and symbolic value.

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Everybody hurts sometimes: perceptions of benefits and barriers in telemedical consultations

Rohowsky,

Offermann,

Ziefle

2023

Front. Public Health

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IntroductionShifts in the age structure, rising needs of care and support, and a lack of (in)formal caregivers require innovative solutions to relieve the whole healthcare system. Applying digital approaches, such as telemedicine, has the potential to support people in need of care, to relieve caregivers in families and professional environments, and to assist medical professionals in their working everyday life: e.g., using telemedicine for acute consultations could contribute to avoid hospitalizations of older people, whereas consultations with the general practitioner could reduce efforts and relive medical personnel. Beyond technical opportunities and potential, the acceptance of future users represents a prerequisite for a sustainable adoption of such innovative approaches, especially in sensitive contexts such as life in older age in nursing homes.MethodsThis study aimed at collecting users' perceptions and evaluations of telemedicine in nursing homes. Two scenarios of telemedical consultations were applied which were either carried out by an emergency physician in acute situations or by the attending general practitioner. In a first approach, advantages and disadvantages of telemedicine were collected with the help of a qualitative interview study (N = 12) with laypersons and medical staff. The identified acceptance-relevant factors were then quantified in a second study using an online questionnaire (N = 204).ResultsOutcomes revealed that both types of telemedicial consultations would be gladly used. However, for telemedical consultations in acute situations, the perceived disadvantages outweighed the advantages; for telemedical consultations with the general practitioner, the advantages outweighed the disadvantages. A prominent barrier in both scenarios was perceived impersonality, which limited the willingness to use. Nevertheless, participants indicated that telemedical consultations can be a support for nursing staff.DiscussionOutcomes may help to derive specific implications and recommendations to develop and realize digital technologies tailored to the requirements, needs, and wishes of diverse stakeholders (i.e., patients, medical professionals) as potential future users.

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Does knowledge matter? The role of m-Health literacy to the acceptance of m-Health applications

Cited by 3 publications

References 28 publications

Does mHealth influence community health worker performance in vulnerable populations? A mixed methods study in a multinational refugee settlement in Uganda

Does mHealth influence community health worker performance in vulnerable populations? A mixed methods study in a multinational refugee settlement in Uganda

Supporting Management of Noncommunicable Diseases With Mobile Health (mHealth) Apps: Experimental Study

Everybody hurts sometimes: perceptions of benefits and barriers in telemedical consultations

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