2011
DOI: 10.1016/j.pec.2010.05.024
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A new computer-based counselling system for the promotion of physical activity in patients with chronic diseases—Results from a pilot study

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Cited by 22 publications
(18 citation statements)
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“…Four studies investigated physical activity in patients with [DM + another disease]. 35,48,56,60 In particular, a collaborative-care strategy Note: CI = confidence interval, CKD = chronic kidney disease, CM = case management, COPD = chronic obstructive pulmonary disease, CP = care pathways, CVD = cardiovascular disease, DEP = depression, DM = diabetes, DMC = difference in mean change, ED = education, HbA1c = glycosylated hemoglobin, HF = heart failure, IHT = information health technology, MD = mean difference, RCT = randomized controlled trial, RR = relative risk, SM = self-management, SMD = standardized mean difference. *Statistical heterogeneity as defined by the I 2 statistic.…”
Section: Physical Activitymentioning
confidence: 99%
“…Four studies investigated physical activity in patients with [DM + another disease]. 35,48,56,60 In particular, a collaborative-care strategy Note: CI = confidence interval, CKD = chronic kidney disease, CM = case management, COPD = chronic obstructive pulmonary disease, CP = care pathways, CVD = cardiovascular disease, DEP = depression, DM = diabetes, DMC = difference in mean change, ED = education, HbA1c = glycosylated hemoglobin, HF = heart failure, IHT = information health technology, MD = mean difference, RCT = randomized controlled trial, RR = relative risk, SM = self-management, SMD = standardized mean difference. *Statistical heterogeneity as defined by the I 2 statistic.…”
Section: Physical Activitymentioning
confidence: 99%
“…Research is needed to explore delivering effective behavioral interventions for pain using nonbehavioral specialists, including lay providers, 87,88 nurses, and physical therapists. 10,15,20,66 Novel methods of delivering preventive pain care should also be explored, including computerized games to promote exercises, 8,39,59,96,112,121 internet-based interventions to promote behavioral change, 91,105,107 smartphone applications, and social media to enhance and monitor care, 82,84,85,110 and machine learning to customize interventions. 14,23,38,44,107,118 Additional research is also necessary to determine how to generate, analyze, and interpret findings from large data sets (ie, "big data") in real-time to monitor responses to care.…”
Section: Improving Efficiency Of Delivering Interventionsmentioning
confidence: 99%
“…Current evidence suggests that theoretically informed PA interventions delivered over the internet are effective in adult populations [16-20], in patients with chronic diseases and disabilities [21,22] and in children with juvenile idiopathic arthritis [23]. To our knowledge, there is only one previous study on internet-supported PA for people with RA, which also included face-to-face meetings and did not explicitly incorporate health behavior change strategies to guide the adoption and maintenance of PA [24].…”
Section: Introductionmentioning
confidence: 99%