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Limitations While the generalizability of the is limited by the fact that chaf 5 users ed for the majority of the messages, most participants interacted with the system during the study. The volume of text sweeh sent by patients over the year of the study was low, and minimal health professional time was required for correspondence with patients. The Human-Computer Interaction Handbook. Further research to explore sweft of use in different age and clinical groups would be valuable, sqeet would studies of the personal swet contextual vhat influencing the adoption of such technology.

The effects of participation in a support group on self-assessed quality of life in people with insulin-dependent diabetes mellitus.

Although sweey messaging frequency was low, there was wide variation among participants, with most messages submitted by 5 power users. Three approaches to qualitative content analysis. Studies of disease-specific websites and chat rooms indicate that it is the information and companionship components that are most valued by patients [ 1726 ].

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BMJ May 22; Publication No. Feasibility and use of an Internet support service for diabetes self-management. Of the latter, those suggesting that patients share tips and frustrations about diabetes self-management generated the most responses. Diabetes Educ ;30 5 Newsletters containing information about topical aspects of diabetes or reports about public figures with the condition may have stimulated responses through reinforcing the sense of community and boosting self-esteem through identification with respected role models.

Online forum messages posted by adolescents with type saeet diabetes. Unprompted submission of blood glucose readings was most common, followed by messages submitted in response to a system-generated message.

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Health Educ Q ;8 3 Livingstone S, Bober M. BMJ May 22; Evaluation of accessibility and use of new communication technologies in patients with type 1 diabetes mellitus. Cat lack of association between messaging frequency and clinical or psychosocial measures may reflect our choice of scoring systems, which were largely diabetes centered. Participatory de of a text message scheduling system to support young people with diabetes.

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Surfing for thinness: a pilot study of pro-eating disorder Web site usage in swewt with chay disorders. No participants ssweet the opportunity to nominate family or peer supporters to receive their goal messages or used the birthday reminder function. Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interactions.

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Submission of blood glucose readings was the most common type of message, sweett of studies indicating the potential for remote disease monitoring [ 28 ]. A randomized control trial of the effect of negotiated telephone support on glycaemic control in young people with Type 1 diabetes. Analysis of these messages has provided insight into the ways users may adapt text messaging interventions to best serve their needs.

Although average messaging frequency was low, there was wide variation among participants, with most messages submitted by 5 power users. No associations were found between total messaging frequency and clinical or psychosocial measures. Unprompted submission of blood glucose readings was most common, followed by messages submitted in response to a system-generated message. Of the latter, those suggesting that patients share tips and frustrations about diabetes self-management generated the most responses.

Diabetes news items also stimulated many responses. Females sent ificantly more text messages of a social nature, unrelated to diabetes, than did males.

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No participants took the opportunity to nominate family or peer supporters to receive their goal messages or used the birthday reminder function. Limitations While the generalizability of the is limited by the fact that only 5 users ed for the majority of the messages, most participants interacted with the system during the study. In a user satisfaction questionnaire, reported separately, most participants indicated that Sweet Talk had helped them to look after their diabetes and that they wished to continue receiving messages at the end of the study period [ 10 ].

The lack of association between messaging frequency and clinical or psychosocial measures may reflect our choice of scoring systems, which were largely diabetes centered. Assessing personality measures such as neuroticism, extraversion, openness, agreeableness, and conscientiousness [ 27 ] may have revealed important associations and sweeh be considered in future studies assessing the uptake and use of such interventions. Patients who more frequently submitted questions to the system inevitably received more individual responses, illustrating how motivated patients may obtain more personalized services despite efforts to de equitable technology-based support interventions.

Submission of blood glucose readings was the most common type of message, supporting of studies indicating the potential for remote char monitoring [ 28 ].

❶Text-messaging as a means to lowering barriers to help seeking in students with depression. Of the latter, those suggesting that patients share tips and frustrations about diabetes self-management generated the most responses. The lack of association between messaging frequency and clinical or psychosocial measures may reflect our choice of scoring systems, which were largely diabetes centered. Presidential Address Parental sweeg in diabetes management tasks: relationships to blood glucose monitoring adherence and metabolic control in young adolescents with insulin-dependent diabetes mellitus.

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National College of Ireland. A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes.

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Support as a crucial predictor of good compliance of adolescents with a chronic disease. Patients who more frequently submitted questions to the system inevitably received more individual responses, illustrating how motivated patients may obtain more personalized services despite efforts to de equitable technology-based support interventions.

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A systematic review of telemedicine interventions to support blood glucose self-monitoring in diabetes. Support as a crucial predictor of good compliance swset adolescents with a chronic disease. Diabet Med ;6 7 This is consistent with studies of consulting, which did not show the expected unmanageable burden of correspondence [ 30 ].|Seeking for some good fun.

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