Are mobile health applications useful for supporting shared decision making in diagnostic and treatment decisions?

Rahimi, Samira Abbasgholizadeh; Menear, Matthew; Robitaille, Hubert

doi:10.1080/16549716.2017.1332259

Cited by 58 publications

(32 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Examining the use of technology in physician-patient relationships further, other studies generally discussed the usefulness of health apps for physician-patient interaction, for example, in shared decisionmaking (36). Abbasgholizadeh et al (36) reported mixed results for technology-supported physicianpatient interactions; for example, better accessibility to data, improved e ciency for the physician, realtime connectivity, or remote decision-making on the one hand, but diminished quality of care through overuse of mHealth, increased health disparities due to lacking mHealth access, or lack of mHealth regulation, on the other hand.…”

Section: Discussionmentioning

confidence: 99%

“…However, according to these authors, the higher workload for physicians can also affect the relationship negatively. Abbasgholizadeh, Menear, Robitaille, and Legare (36) reported that health apps have potential for improved patient participation in shared health decision-making, but bear risks like security concerns or increased patient anxiety.…”

Section: Social Support and Technology-supported Diabetes Self-managementioning

confidence: 99%

See 1 more Smart Citation

Differential Influences of Social Support on App Use for Diabetes Self-Management – a Mixed Methods Approach

Brew‐Sam

Chib²,

Rossmann

2020

Preprint

View full text Add to dashboard Cite

Background Recent studies increasingly examine social support for diabetes self-management delivered via mHealth. In contrast to previous studies examining social support as an outcome of technology use, or technology as a means for delivering social support, this paper argues that social support has an impact on the use of diabetes mHealth apps. Specifically, we postulate differences between the impact of healthcare professional versus non-professional (family/friends) support on mobile app use for diabetes self-management.Methods This research employed a triangulation of methods including exploratory semi-structured face-to-face interviews (N= 21, Study 1) and an online survey (N= 65, Study 2) with adult type 1 and type 2 diabetes patients. Thematic analysis (Study 1) was used to explore the relevance of social support (by professionals versus non-professionals) for diabetes app use. Binary logistic regression (Study 2) was applied to compare healthcare decision-making, healthcare-patient communication, and the support by the personal patient network as predictors of diabetes app use, complemented by other predictors from self-management and technology adoption theory.Results The interviews (Study 1) demonstrated that (technology-supported) shared decision-making and supportive communication by healthcare professionals depended on their medical specialty. The personal patient network was perceived as either facilitating or hindering the use of mHealth for self-management. Binary logistic regression (Study 2) showed that the physician specialty significantly predicted the use of diabetes apps, with supervision by diabetes specialists increasing the likelihood of app use (as opposed to general practitioners). Additionally, specialist care positively related to a higher chance of shared decision-making and better physician-patient communication. The support by the personal patient network predicted diabetes app use in the opposite direction, with less family/friend support increasing the likelihood of app use.Conclusion The results emphasize the relevance of support by healthcare professionals and by the patient network for diabetes app use and disclose differences from the existing literatureThe use of diabetes apps may increase in the absence of social support by family or friends (e.g., compensation for lack of support), and that use of diabetes apps may decrease when such support is high (e.g., no perceived need to use technology).

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Social Support and Technology-supported Diabetes Self-managementioning

confidence: 99%

Differential Influences of Social Support on App Use for Diabetes Self-Management – a Mixed Methods Approach

Brew‐Sam

Chib²,

Rossmann

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Examining the use of technology in physician-patient relationships, other studies generally discussed the usefulness of health apps for physician-patient interaction, for example, the usefulness of health apps for shared decision-making (46). Abbasgholizadeh et al (46) reported both positive and negative reasons for technology-supported physician-patient interactions, for example better accessibility to data, improved efficiency for the physician, real-time connectivity, or remote decision-making on the one hand, but diminished quality of care through overuse of mHealth, increased health disparities due to lacking mHealth access, or lack of mHealth regulation, on the other hand.…”

Section: Discussionmentioning

confidence: 99%

“…However, according to them the higher workload for physicians can also affect the relationship negatively. Abbasgholizadeh, Menear, Robitaille, and Legare (46) reported that health apps have potential for improved patient participation in shared health decision-making, but also bear risks like security concerns or increased patient anxiety.…”

Section: Relevance Of Social Support For (Technology-supported) Diabementioning

confidence: 99%

Differential Influences of Social Support on App Use for Diabetes Self-Management – a Mixed Methods Approach

Brew‐Sam

Chib

Rossmann

2020

Preprint

View full text Add to dashboard Cite

Background The impact of social support on diabetes management and health outcomes has been investigated comprehensively, with recent studies examining social support delivered via digital technologies. This paper argues that social support has an impact on the use of diabetes technologies. Specifically, we postulate differences between the impact of healthcare professional versus non-professional (family/friends) support on mobile app use for diabetes self-management.Methods This research employed a triangulation of methods including exploratory semi-structured face-to-face interviews (N= 21, Study 1) and an online survey (N= 65, Study 2) with adult type 1 and type 2 diabetes patients. Thematic analysis (Study 1) was used to explore the relevance of social support (by professionals versus non-professionals) for diabetes app use. Binary logistic regression (Study 2) was applied to compare healthcare decision-making, healthcare-patient communication, and the support by the personal patient network as predictors of diabetes app use, complemented by other predictors from self-management and technology adoption theory.Results The interviews (Study 1) demonstrated that (technology-supported) shared decision-making and supportive communication by healthcare professionals depended on the medical specialty of attending physicians. The personal patient network was perceived as either facilitating or hindering the use of mHealth for self-management. Binary logistic regression (Study 2) showed that the specialty of the physician significantly predicted the use of diabetes apps, with supervision by diabetes specialists increasing the likelihood of app use (as opposed to general practitioners). In addition, specialist care positively related to a higher chance of shared decision-making and better physician-patient communication. The support by the personal patient network predicted diabetes app use in the opposite direction, with lower family/friend support increasing the likelihood of app use.Conclusion The results emphasize the relevance of support by healthcare professionals and by the patient network for diabetes app use and disclose differences from existing literature. In particular, we found that the use of diabetes apps may increase in the absence of social support by family or friends (e.g., compensation for lack of support), and that use of diabetes apps may decrease when support is high (e.g., no perceived need to use technology). Implications for practice are discussed.

show abstract

“…Furthermore, acceptance of health technology may also be related to a participants' understanding of their condition and their overall interest in their own health or health literacy; in a recent systematic review of the effect of telehealth tools on vulnerable populations, health literacy was only assessed in one of the included 18 studies [33]. Finally, there is a need for further research in remote consultations to consider the impact on other outcomes beyond healthcare use, and patient satisfaction to patient behaviours (such as drug adherence) and shared decision-making [34].…”

mentioning

confidence: 99%

Identifying and managing osteoporosis before and after COVID-19: rise of the remote consultation?

et al. 2020

View full text Add to dashboard Cite

The COVID-19 pandemic is influencing methods of healthcare delivery. In this short review, we discuss the evidence for remote healthcare delivery in the context of osteoporosis. Introduction The COVID-19 pandemic has undoubtedly had, and will continue to have, a significant impact on the lives of people living with, and at risk of, osteoporosis and those caring for them. With osteoporosis outpatient and Fracture Liaison Services on pause, healthcare organisations have already moved to delivering new and follow-up consultations remotely, where staffing permits, by telephone or video. Methods In this review, we consider different models of remote care delivery, the evidence for their use, and the possible implications of COVID-19 on osteoporosis services. Results Telemedicine is a global term used to describe any use of telecommunication systems to deliver healthcare from a distance and encompasses a range of different scenarios from remote clinical data transfer to remote clinician-patient interactions. Across a range of conditions and contexts, there remains unclear evidence on the acceptability of telemedicine and the effect on healthcare costs. Within the context of osteoporosis management, there is some limited evidence to suggest telemedicine approaches are acceptable to patients but unclear evidence on whether telemedicine approaches support informed drug adherence. Gaps in the evidence pertain to the acceptability and benefits of using telemedicine in populations with hearing, cognitive, or visual impairments and in those with limited health literacy. Conclusion There is an urgent need for further health service evaluation and research to address the impact of remote healthcare delivery during COVID-19 outbreak on patient care, and in the longer term, to identify acceptability and cost-and clinicaleffectiveness of remote care delivery on outcomes of relevance to people living with osteoporosis.

show abstract

Are mobile health applications useful for supporting shared decision making in diagnostic and treatment decisions?

Cited by 58 publications

References 30 publications

Differential Influences of Social Support on App Use for Diabetes Self-Management – a Mixed Methods Approach

Differential Influences of Social Support on App Use for Diabetes Self-Management – a Mixed Methods Approach

Differential Influences of Social Support on App Use for Diabetes Self-Management – a Mixed Methods Approach

Identifying and managing osteoporosis before and after COVID-19: rise of the remote consultation?

Contact Info

Product

Resources

About