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

2020 ◽  
Author(s):  
Nicola Brew-Sam ◽  
Arul Chib ◽  
Constanze Rossmann
Keyword(s):  
Social Support ◽  
Decision Making ◽  
Logistic Regression ◽  
Shared Decision Making ◽  
Healthcare Professionals ◽  
Binary Logistic Regression ◽  
Patient Communication ◽  
Self Management ◽  
Shared Decision ◽  
The Impact

Abstract 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 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 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 such support is high (e.g., no perceived need to use technology). Implications for practice are discussed.

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

2020 ◽  
Author(s):  
Nicola Brew-Sam ◽  
Arul Chib ◽  
Constanze Rossmann
Keyword(s):  
Social Support ◽  
Decision Making ◽  
Logistic Regression ◽  
Shared Decision Making ◽  
Healthcare Professionals ◽  
Binary Logistic Regression ◽  
Patient Communication ◽  
Self Management ◽  
Shared Decision ◽  
The Impact

Abstract 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.

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

2020 ◽  
Author(s):  
Nicola Brew-Sam ◽  
Arul Chib ◽  
Constanze Rossmann
Keyword(s):  
Social Support ◽  
Decision Making ◽  
Logistic Regression ◽  
Shared Decision Making ◽  
Technology Use ◽  
Healthcare Professionals ◽  
Binary Logistic Regression ◽  
Patient Communication ◽  
Self Management ◽  
Shared Decision

Abstract 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).

scholarly journals Beyond Reading and Understanding: Health Literacy as the Capacity to Act

2018 ◽  
Vol 15 (8) ◽  
pp. 1676 ◽  
Author(s):  
Jany Rademakers ◽  
Monique Heijmans
Keyword(s):  
Decision Making ◽  
Health Literacy ◽  
Shared Decision Making ◽  
Patient Centered Care ◽  
Self Management ◽  
Shared Decision ◽  
Patient Centered ◽  
Capacity To Act ◽  
Centered Care ◽  
The Impact

Many health literacy interventions have a limited focus on functional/cognitive skills. In psychosocial models, the capacity to act however is seen as a major driver of behavioural change. This aspect is often lacking in health literacy concepts. In this study, we examine the impact of both aspects of health literacy (functional/cognitive and capacity to act) on specific healthcare outcomes (healthcare use, experiences with patient-centered care, shared-decision making, and self-management). In a sample of a national panel of people with a chronic disease (NPCD), questions about health literacy, patient activation, and outcomes were asked. The results indicated that 39.9% had limited HL levels and 36.9% had a low activation score. Combined, 22.7% of the sample scored low on both aspects, whereas 45.8% had adequate levels on both. Patients who score low on both use more healthcare and have less positive experiences with patient-centered care, shared decision making, and self-management. Patients who have adequate competency levels in both respects have the best outcomes. Both cognitive and non-cognitive aspects of health literacy are important, and they enhance each other. The capacity to act is especially important for the extent to which people feel able to self-manage.

scholarly journals Continuing professional education of Iranian healthcare professionals in shared decision-making: lessons learned

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Samira Abbasgholizadeh Rahimi ◽  
Charo Rodriguez ◽  
Jordie Croteau ◽  
Alireza Sadeghpour ◽  
Amir-Mohammad Navali ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Shared Decision Making ◽  
Professional Education ◽  
Healthcare Professionals ◽  
Prenatal Screening ◽  
Shared Decision ◽  
Patient Decision ◽  
Facilitators And Barriers ◽  
The Impact

Abstract Background In this study, we sought to assess healthcare professionals’ acceptance of and satisfaction with a shared decision making (SDM) educational workshop, its impact on their intention to use SDM, and their perceived facilitators and barriers to the implementation of SDM in clinical settings in Iran. Methods We conducted an observational quantitative study that involved measurements before, during, and immediately after the educational intervention at stake. We invited healthcare professionals affiliated with Tabriz University of Medical Sciences, East Azerbaijan, Iran, to attend a half-day workshop on SDM in December 2016. Decisions about prenatal screening and knee replacement surgery was used as clinical vignettes. We provided a patient decision aid on prenatal screening that complied with the International Patient Decision Aids Standards and used illustrate videos. Participants completed a sociodemographic questionnaire and a questionnaire to assess their familiarity with SDM, a questionnaire based on theoretical domains framework to assess their intention to implement SDM, a questionnaire about their perceived facilitators and barriers of implementing SDM in their clinical practice, continuous professional development reaction questionnaire, and workshop evaluation. Quantitative data was analyzed descriptively and with multiple linear regression. Results Among the 60 healthcare professionals invited, 41 participated (68%). Twenty-three were female (57%), 18 were specialized in family and emergency medicine, or community and preventive medicine (43%), nine were surgeons (22%), and 14 (35%) were other types of specialists. Participants’ mean age was 37.51 ± 8.64 years with 8.09 ± 7.8 years of clinical experience. Prior to the workshop, their familiarity with SDM was 3.10 ± 2.82 out of 9. After the workshop, their belief that practicing SDM would be beneficial and useful (beliefs about consequences) (beta = 0.67, 95% CI 0.27, 1.06) and beliefs about capability of using SDM (beta = 0.32, 95% CI -0.08, 0.72) had the strongest influence on their intention of practicing SDM. Participants perceived the main facilitator and barrier to perform SDM were training and high patient load, respectively. Conclusions Participants thought the workshop was a good way to learn SDM and that they would be able to use what they had learned in their clinical practice. Future studies need to study the level of intention of participants in longer term and evaluate the impact of cultural differences on practicing SDM and its implementation in both western and non-western countries.

The impact of patient narratives on medical students’ perceptions of shared decision making: A randomized controlled trial

2020 ◽  
Author(s):  
Martina Bientzle ◽  
Marie Eggeling ◽  
Simone Korger ◽  
Joachim Kimmerle
Keyword(s):  
Decision Making ◽  
Medical Students ◽  
Shared Decision Making ◽  
Medical Training ◽  
Controlled Trial ◽  
Future Research ◽  
Shared Decision ◽  
Randomized Controlled ◽  
Information Text ◽  
The Impact

BACKGROUND: Successful shared decision making (SDM) in clinical practice requires that future clinicians learn to appreciate the value of patient participation as early as in their medical training. Narratives, such as patient testimonials, have been successfully used to support patients’ decision-making process. Previous research suggests that narratives may also be used for increasing clinicians’ empathy and responsiveness in medical consultations. However, so far, no studies have investigated the benefits of narratives for conveying the relevance of SDM to medical students.METHODS: In this randomized controlled experiment, N = 167 medical students were put into a scenario where they prepared for medical consultation with a patient having Parkinson disease. After receiving general information, participants read either a narrative patient testimonial or a fact-based information text. We measured their perceptions of SDM, their control preferences (i.e., their priorities as to who should make the decision), and the time they intended to spend for the consultation.RESULTS: Participants in the narrative patient testimonial condition referred more strongly to the patient as the one who should make decisions than participants who read the information text. Participants who read the patient narrative also considered SDM in situations with more than one treatment option to be more important than participants in the information text condition. There were no group differences regarding their control preferences. Participants who read the patient testimonial indicated that they would schedule more time for the consultation.CONCLUSIONS: These findings show that narratives can potentially be useful for imparting the relevance of SDM and patient-centered values to medical students. We discuss possible causes of this effect and implications for training and future research.

scholarly journals Healthcare professionals’ behaviour regarding the implementation of shared decision-making in screening programmes: A systematic review

2021 ◽  
Author(s):  
María José Hernández-Leal ◽  
María José Pérez-Lacasta ◽  
María Feijoo-Cid ◽  
Vanesa Ramos-García ◽  
Misericòrdia Carles-Lavila
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Shared Decision Making ◽  
Healthcare Professionals ◽  
Shared Decision

scholarly journals Development of an electronic conversation aid to support shared decision making for children with acute otitis media

JAMIA Open ◽  
2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Jana L Anderson ◽  
e Silva Lucas Oliveira J ◽  
Juan P Brito ◽  
Ian G Hargraves ◽  
Erik P Hess
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Otitis Media ◽  
Acute Otitis Media ◽  
Medical Knowledge ◽  
Complication Rates ◽  
Shared Decision ◽  
Web Based ◽  
Quality Issue ◽  
The Impact

Abstract Objective The overuse of antibiotics for acute otitis media (AOM) in children is a healthcare quality issue in part arising from conflicting parent and physician understanding of the risks and benefits of antibiotics for AOM. Our objective was to develop a conversation aid that supports shared decision making (SDM) with parents of children who are diagnosed with non-severe AOM in the acute care setting. Materials and Methods We developed a web-based encounter tool following a human-centered design approach that includes active collaboration with parents, clinicians, and designers using literature review, observations of clinical encounters, parental and clinician surveys, and interviews. Insights from these processes informed the iterative creation of prototypes that were reviewed and field-tested in patient encounters. Results The ear pain conversation aid includes five sections: (1) A home page that opens the discussion on the etiologies of AOM; (2) the various options available for AOM management; (3) a pictograph of the impact of antibiotic therapy on pain control; (4) a pictograph of complication rates with and without antibiotics; and (5) a summary page on management choices. This open-access, web-based tool is located at www.earpaindecisionaid.org. Conclusions We collaboratively developed an evidence-based conversation aid to facilitate SDM for AOM. This decision aid has the potential to improve parental medical knowledge of AOM, physician/parent communication, and possibly decrease the overuse of antibiotics for this condition.

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