Monday, May 28, 2012

Mobile technology, remote coaching, financial incentives may help improve diet, activity level

Mobile technology, remote coaching, financial incentives may help improve diet, activity level [ Back to EurekAlert! ] Public release date: 28-May-2012
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Contact: Marla Paul
marla-paul@northwestern.edu
312-503-8928
JAMA and Archives Journals

CHICAGO The diet and activity levels of patients may be improved through use of mobile technology, remote coaching and financial incentives, according to a report of a randomized controlled trial published in the May 28 issue of Archives of Internal Medicine, a JAMA Network publication.

Not following a physician's lifestyle change advice is a major barrier to patients achieving effective preventive care. Many physicians are skeptical that patients will change their unhealthy behaviors, and physicians also report a lack of time and training to effectively counsel their patients, researchers write in the study background.

"This study's interventions leveraged handheld technology to create efficient interventions that make self-monitoring more convenient, extend decision support into life contexts where lifestyle choices are made, and convey time-stamped behavioral data to paraprofessionals who provide coaching remotely," the researchers note.

Bonnie Spring, Ph.D., of Northwestern University Feinberg School of Medicine, Chicago, and colleagues randomly assigned 204 adult patients (48 men) with elevated intake of saturated fat and low intake of fruits and vegetables, and high sedentary leisure time and low physical activity into 1 of 4 treatments. The treatments were: increase fruit/vegetable intake and physical activity, decrease fat and sedentary leisure, decrease fat and increase physical activity, and increase fruit/vegetable intake and decrease sedentary leisure. Patients used personal digital assistant devices to record and self-regulate their behaviors.

During three weeks of treatment, patients uploaded their data daily and communicated as needed with their coaches by telephone or by email. The participants could earn $175 for meeting goals during the treatment phase. In addition, there was a 20-week follow-up during which patients could earn from $30 to $80 for continuing to record and transmit their data.

"The increase fruits/vegetables and decrease sedentary leisure treatment maximized healthy lifestyle change compared with the other interventions," the authors comment. They note that lifestyle gains diminished once treatment ended, as expected, but improvements persisted throughout the follow-up period.

From baseline to the end of treatment to the end of the follow-up, respectively, mean (average) servings per day of fruits/vegetables changed from 1.2 to 5.5 to 2.9, mean minutes per day of sedentary leisure from 219.2 to 89.3 to 125.7, and daily calories from saturated fat from 12 percent to 9.4 percent to 9.9 percent, according to the study results.

"This study demonstrates the feasibility of changing multiple unhealthy diet and activity behaviors simultaneously, efficiently and with minimal face-to-face contact by using mobile technology, remote coaching, and incentives," the authors comment.

(Arch Intern Med. 2012;172[10]:789-796. Available pre-embargo to the media at http://media.jamanetwork.com.)

Editor's Note: The Make Better Choices trial was supported by grants from the National Institutes of Health and the Robert H. Lurie Comprehensive Cancer Center. Please see the article for additional information, including other authors, author contributions and affiliations, financial disclosures, funding and support, etc.

Invited Commentary: Using Technology for Interventions on Health Risk Factors

In an invited commentary, William T. Riley, Ph.D., of the National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Md., writes: "Via technology, we will soon be able to deliver fully automated and configurable multiple risk factor interventions that monitor progress continuously and can be delivered throughout the day every day."

"It remains an empirical question, however, whether these technological advances improve outcomes, reduce costs or both," Riley continues.

"Spring et al have contributed to the empirical evidence of the value of these technologies, but many more research contributions such as this are needed to establish that technologically delivered multiple risk factor interventions improve outcomes," Riley concludes.

(Arch Intern Med. 2012:172[10]:796-798. Available pre-embargo to the media at http://media.jamanetwork.com.)

Editor's Note: Please see the article for additional information, including other authors, author contributions and affiliations, financial disclosures, funding and support, etc.

###

To contact Bonnie Spring, Ph.D., call Marla Paul at 312-503-8928 or email marla-paul@northwestern.edu. To contact commentary author William T. Riley, Ph.D., call the NHLBI Office of Communications at 301-496-4236 or email nhlbinews@nhlbi.nih.gov.



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Mobile technology, remote coaching, financial incentives may help improve diet, activity level [ Back to EurekAlert! ] Public release date: 28-May-2012
[ | E-mail | Share Share ]

Contact: Marla Paul
marla-paul@northwestern.edu
312-503-8928
JAMA and Archives Journals

CHICAGO The diet and activity levels of patients may be improved through use of mobile technology, remote coaching and financial incentives, according to a report of a randomized controlled trial published in the May 28 issue of Archives of Internal Medicine, a JAMA Network publication.

Not following a physician's lifestyle change advice is a major barrier to patients achieving effective preventive care. Many physicians are skeptical that patients will change their unhealthy behaviors, and physicians also report a lack of time and training to effectively counsel their patients, researchers write in the study background.

"This study's interventions leveraged handheld technology to create efficient interventions that make self-monitoring more convenient, extend decision support into life contexts where lifestyle choices are made, and convey time-stamped behavioral data to paraprofessionals who provide coaching remotely," the researchers note.

Bonnie Spring, Ph.D., of Northwestern University Feinberg School of Medicine, Chicago, and colleagues randomly assigned 204 adult patients (48 men) with elevated intake of saturated fat and low intake of fruits and vegetables, and high sedentary leisure time and low physical activity into 1 of 4 treatments. The treatments were: increase fruit/vegetable intake and physical activity, decrease fat and sedentary leisure, decrease fat and increase physical activity, and increase fruit/vegetable intake and decrease sedentary leisure. Patients used personal digital assistant devices to record and self-regulate their behaviors.

During three weeks of treatment, patients uploaded their data daily and communicated as needed with their coaches by telephone or by email. The participants could earn $175 for meeting goals during the treatment phase. In addition, there was a 20-week follow-up during which patients could earn from $30 to $80 for continuing to record and transmit their data.

"The increase fruits/vegetables and decrease sedentary leisure treatment maximized healthy lifestyle change compared with the other interventions," the authors comment. They note that lifestyle gains diminished once treatment ended, as expected, but improvements persisted throughout the follow-up period.

From baseline to the end of treatment to the end of the follow-up, respectively, mean (average) servings per day of fruits/vegetables changed from 1.2 to 5.5 to 2.9, mean minutes per day of sedentary leisure from 219.2 to 89.3 to 125.7, and daily calories from saturated fat from 12 percent to 9.4 percent to 9.9 percent, according to the study results.

"This study demonstrates the feasibility of changing multiple unhealthy diet and activity behaviors simultaneously, efficiently and with minimal face-to-face contact by using mobile technology, remote coaching, and incentives," the authors comment.

(Arch Intern Med. 2012;172[10]:789-796. Available pre-embargo to the media at http://media.jamanetwork.com.)

Editor's Note: The Make Better Choices trial was supported by grants from the National Institutes of Health and the Robert H. Lurie Comprehensive Cancer Center. Please see the article for additional information, including other authors, author contributions and affiliations, financial disclosures, funding and support, etc.

Invited Commentary: Using Technology for Interventions on Health Risk Factors

In an invited commentary, William T. Riley, Ph.D., of the National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Md., writes: "Via technology, we will soon be able to deliver fully automated and configurable multiple risk factor interventions that monitor progress continuously and can be delivered throughout the day every day."

"It remains an empirical question, however, whether these technological advances improve outcomes, reduce costs or both," Riley continues.

"Spring et al have contributed to the empirical evidence of the value of these technologies, but many more research contributions such as this are needed to establish that technologically delivered multiple risk factor interventions improve outcomes," Riley concludes.

(Arch Intern Med. 2012:172[10]:796-798. Available pre-embargo to the media at http://media.jamanetwork.com.)

Editor's Note: Please see the article for additional information, including other authors, author contributions and affiliations, financial disclosures, funding and support, etc.

###

To contact Bonnie Spring, Ph.D., call Marla Paul at 312-503-8928 or email marla-paul@northwestern.edu. To contact commentary author William T. Riley, Ph.D., call the NHLBI Office of Communications at 301-496-4236 or email nhlbinews@nhlbi.nih.gov.



[ Back to EurekAlert! ] [ | E-mail | Share Share ]

?


AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.


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