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Internet interventions
providing personalized
feedback for weight loss in
overweight and obese adults:
What's the evidence?
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What’s the evidence?
Sherrington, A., Newham, J., Bell, R., Adamson, A.,
McColl, E., & Araujo-Soares, V. (2016). Systematic
review and meta-analysis of internet-delivered
interventions providing personalized feedback for
weight loss in overweight and obese adults. Obesity
Reviews, 17(6), 541-551.
http://www.healthevidence.org/view-
article.aspx?a=systematic-review-meta-analysis-
internet-delivered-interventions-providing-29586
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National Collaborating Centre for Methods and Tools. (revised 2012). A
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Poll Question #2
Have you heard of PICO(S) before?
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Searchable Questions Think “PICOS”
1.Population (situation)
2.Intervention (exposure)
3.Comparison (other group)
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Poll Question #3
Internet interventions providing personalized
feedback are effective for weight loss in
overweight and obese adults
A. Strongly agree
B. Agree
C. Neutral
D. Disagree
E. Strongly disagree
Poll Question #4
Anna Haste,
Research Associate,
Newcastle University
Systematic Review
Internet interventions
providing personalized
feedback for weight loss in
overweight and obese adults.
Why is being obese a problem?
• Link between obesity and a number of serious
diseases and mental health problems:
• Cancer, hypertension, type 2 diabetes, high blood
pressure, depression, social stigmatisation,
premature death (World Health Organisation, 2014; Public Health England, 2014)
Higher BMI = Higher risk of disease
What is an internet-based
intervention?
• Software system, usually a website
• Participants required to log in to access
intervention
• Enables lifestyle information, modules or
assessments to be easily accessible
• Self-monitoring tools
• Systems may be interactive
• Personalised feedback – Automatic/Human
• Engagement with other users
Rationale for using an internet
intervention for weight loss
• Traditional primary care treatments (GP appointments, group
sessions) can be costly, have mixed effectiveness and experience
high attrition rates (Jolly et al., 2011)
• Acknowledged the need for intervention components to be
investigated (Neve et al., 2010)
• Personalised interventions have been shown to be more effective
(Kroeze et al., 2006; Neville et al., 2009)
• Internet weight loss studies have identified mixed findings (Morgan et al.,
2011; McConnon et al., 2007) but have the potential to reduce health
professional input and time per patient (Ramadas et al., 2011)
Research question
How effective is individualised internet
based feedback compared to those
receiving no feedback within weight
loss interventions for
overweight/obese adults?
Inclusion criteria
( P ): Adults aged > 18 years old with BMI > 25kg/ m2
( I ): Interventions targeting diet, physical activity or
both for weight loss. At least in part delivered
individually via internet.
( C ): Standard care or alternative interventions that do
not include individualised feedback via the internet
( O ): Weight loss, waist circumference, BMI change, 5%
weight loss
( S ): Randomised controlled trials
Prospero protocol:
http://www.crd.york.ac.uk/prospero/display_record.asp?ID=CRD42012002115
Feedback definition
Michie et al., 2011, pg. 9:
Provide feedback on performance –
“This involves providing the participant with data about
their own recorded behaviour or commenting on a
person’s behavioural performance (e.g. identifying a
discrepancy between behavioural performance and a set
goal or a discrepancy between one’s own performance in
relation to others).”
Feedback examples
‘Weekly feedback was given from a pre-programmed
computer that instantaneously returned tailored
feedback on a Web page when the weight loss diary was
submitted.’ (Tate et al., 2006)
‘Each participant who provided diary entries received up to 7
individualized feedback documents via email over the 3
months from the research team. Each sheet gave feedback on
a week of diary entries and suggested personalized strategies
to address weight loss, reduce energy intake and increase
energy expenditure.’ (Morgan et al., 2011)
Search strategy
Databases:
Scopus, Web of Science, EMBASE, MEDLINE, PsycINFO,
ASSIA, IBSS and the Sociological Abstracts
Clinical Trial Registers
Hand searching relevant journals, conference publications
and theses databases.
Screening process
5861
Total articles identified
2251
Duplicates excluded
3610
Articles remaining
3472
Title and abstract exclusions
138
Articles remaining
23 additional found from
reference list search
124 Exclusions as did not
meet inclusion criteria:
•Participants (n=17)
•Design (n=77)
•Outcome (n=52)
•Intervention (n=52)
14 included articles = 12 separate studies
23 excluded as did not
meet inclusion criteria:
•Participants (n=6)
•Design (n=11)
•Outcome (n=12)
•Intervention (n=8)
Results
Feedback
versus
No Feedback
Outcomes and timeframes
• Intention-to-treat (ITT) for all analyses
• Ordered by effect size
• Mean difference compared with continuous
outcome measures
• Risk ratio used for dichotomous variables
Control group Total 3 months 6 months 12 months
Minimal
intervention
(TAU or leaflet)
9 5 5 3
Website w/o
feedback
3 2 2 1
Weight Loss (kg) – End point
Weight loss(kg) – 3, 6 and 12 months
BMI change – End point
BMI change – 3, 6 and 12 months
Waist circumference – End
point
Waist change – 3, 6 and 12 months
5% weight loss – End point
5% WL– 3, 6 and 12 months
Summary of significant
results
Outcome End 3 months 6 months 12 months
Weight loss    ~
Waist
circumference
   
BMI    
5% weight loss    ~
BCTs most commonly identified
• Provide feedback on performance
• Provide information on consequences
• Self-monitoring of behaviour/behaviour
outcome
• Social support/social change
• Goal setting (behaviour/outcome)
Wait list or minimal
intervention
Control interventions without
feedback
Future work
• Behaviour change techniques in relation
to effectiveness, engagement and
retention rates
• Variety of feedback types
(provided by a human or automatically)
• Internet feedback versus other modality
feedback
Conclusion
Incorporating individualised
feedback may be a key behaviour
change technique for effective
interventions delivered via the
internet
References
Jolly K., Lewis A, Beach J, et al. (2011). Comparison of range of commercial or primary care led weight reduction programmes with minimal intervention control for
weight loss in obesity: Lighten Up randomised controlled trial. BMJ 343.
Kroeze, W., Werkman, A., Brug, J. (2006) A systematic review of randomised trials on the effectivenss of computer-tailored education on physical activity and dietary
behaviors. Annals of Behavioural Medicine, 31 (3), 205-223.
McConnon, Á., Kirk, S. F. L., Cockroft, J. E., Harvey, E. L., Greenwood, D. C., Thomas, J. D., . . . Bojke, L. (2007). The Internet for weight control in an obese sample:
Results of a randomised controlled trial. BMC Health Services Research, 7.
Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., & French, D. P. (2011). A refined taxonomy of behaviour change techniques to help people
change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychology and Health, 26(11), 1479-1498.
Morgan, P. J., Collins, C. E., Plotnikoff, R. C., Cook, A. T., Berthon, B., Mitchell, S., & Callister, R. (2011). Efficacy of a workplace-based weight loss program for
overweight male shift workers: The workplace POWER (preventing obesity without eating like a rabbit) randomized controlled trial. Preventive Medicine, 52(5), 317-
325.
Neve M, Morgan PJ, Jones PR, et al. (2010). Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese
adults: a systematic review with meta-analysis. Obes Rev, 11 (4), 306-321.
Neville, L. M., Milat, A. J., & O'Hara, B. (2009). Computer-tailored weight reduction interventions targeting adults: A narrative systematic review. Health Promotion
Journal of Australia, 20(1), 48-57.
Public Health England. (2014). Obesity and Health. from www.noo.org.uk/NOO_about_obesity/obesity_and_health
Ramadas, A., Quek, K. F., Chan, C. K. Y., & Oldenburg, B. (2011). Web-based interventions for the management of type 2 diabetes mellitus: A systematic review of
recent evidence. International Journal of Medical Informatics, 80(6), 389-405
Tate DF, Jackvony EH, Wing RR. A Randomized Trial Comparing Human e-Mail Counseling, Computer-Automated Tailored Counseling, and No Counseling in an
Internet Weight Loss Program. Arch Intern Med. 2006;166(15):1620-1625.
World Health Organisation. (2014). Obesity and Overweight Fact Sheet. From http://www.who.int/mediacentre/factsheets/fs311/en/.
Acknowledgements
Co-authors:
James Newham
Ruth Bell
Ashley Adamson
Elaine McColl
Vera Araujo-Soares
Funders:
Internet interventions providing personalized
feedback are effective for weight loss in
overweight and obese adults
A. Strongly agree
B. Agree
C. Neutral
D. Disagree
E. Strongly disagree
Poll Question #5
Poll Question #6
The information presented today was
helpful
A.Strongly agree
B.Agree
C.Neutral
D.Disagree
E.Strongly disagree
What can I do now?
Visit the website; a repository of over 5,000+ quality-rated systematic reviews
related to the effectiveness of public health interventions. Health Evidence™ is
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Poll Question #7
What are your next steps? [Check all
that apply]
A. Access the full text systematic review
B. Access the quality assessment for the
review on www.healthevidence.org
C. Consider using the evidence
D. Tell a colleague about the evidence
Thank you!
Contact us:
info@healthevidence.org
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http://www.healthevidence.org/webinars.aspx

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Internet interventions providing personalized feedback for weight loss in overweight and obese adults: What's the evidence?

  • 1. Welcome! Internet interventions providing personalized feedback for weight loss in overweight and obese adults: What's the evidence? You will be placed on hold until the webinar begins. The webinar will begin shortly, please remain on the line.
  • 2. Poll Questions: Consent • Participation in the webinar poll questions is voluntary • Names are not recorded and persons will not be identified in any way • Participation in the anonymous polling questions is accepted as an indication of your consent to participate Benefits: • Results inform improvement of the current and future webinars • Enable engagement; stimulate discussion. This session is intended for professional development. Some data may be used for program evaluation and research purposes (e.g., exploring opinion change) • Results may also be used to inform the production of systematic reviews and overviews Risks: None beyond day-to-day living
  • 3. After Today • The PowerPoint presentation and audio recording will be made available • These resources are available at: – PowerPoint: http://www.slideshare.net/HealthEvidence – Audio Recording: https://www.youtube.com/user/healthevidence/videos 3
  • 4. What’s the evidence? Sherrington, A., Newham, J., Bell, R., Adamson, A., McColl, E., & Araujo-Soares, V. (2016). Systematic review and meta-analysis of internet-delivered interventions providing personalized feedback for weight loss in overweight and obese adults. Obesity Reviews, 17(6), 541-551. http://www.healthevidence.org/view- article.aspx?a=systematic-review-meta-analysis- internet-delivered-interventions-providing-29586
  • 5. • Use CHAT to post comments / questions during the webinar – ‘Send’ questions to All (not privately to ‘Host’) • Connection issues – Recommend using a wired Internet connection (vs. wireless) • WebEx 24/7 help line – 1-866-229-3239 Participant Side Panel in WebEx Housekeeping
  • 6. Housekeeping (cont’d) • Audio – Listen through your speakers – Go to ‘Communicate > Audio Broadcast’ • WebEx 24/7 help line – 1-866-229-3239
  • 7. Poll Question #1 How many people are watching today’s session with you? A. Just me B. 2-3 C. 4-5 D. 6-10 E. >10
  • 8. The Health Evidence™ Team Maureen Dobbins Scientific Director Heather Husson Manager Susannah Watson Project Coordinator Students: Emily Belita (PhD candidate) Jennifer Yost Assistant Professor Olivia Marquez Research Coordinator Emily Sully Research Assistant Liz Kamler Research Assistant Zhi (Vivian) Chen Research Assistant Research Assistants: Claire Howarth Rawan Farran Kristin Read Research Coordinator
  • 10. Why use www.healthevidence.org? 1. Saves you time 2. Relevant & current evidence 3. Transparent process 4. Supports for EIDM available 5. Easy to use
  • 11. A Model for Evidence- Informed Decision Making National Collaborating Centre for Methods and Tools. (revised 2012). A Model for Evidence-Informed Decision-Making in Public Health (Fact Sheet). [http://www.nccmt.ca/pubs/FactSheet_EIDM_EN_WEB.pdf]
  • 12. Stages in the process of Evidence-Informed Public Health National Collaborating Centre for Methods and Tools. Evidence-Informed Public Health. [http://www.nccmt.ca/eiph/index-eng.html]
  • 13. Poll Question #2 Have you heard of PICO(S) before? A. Yes B. No
  • 14. Searchable Questions Think “PICOS” 1.Population (situation) 2.Intervention (exposure) 3.Comparison (other group) 4.Outcomes 5.Setting
  • 15. How often do you use Systematic Reviews to inform a program/services? A. Always B. Often C. Sometimes D. Never E. I don’t know what a systematic review is Poll Question #3
  • 16. Internet interventions providing personalized feedback are effective for weight loss in overweight and obese adults A. Strongly agree B. Agree C. Neutral D. Disagree E. Strongly disagree Poll Question #4
  • 18. Systematic Review Internet interventions providing personalized feedback for weight loss in overweight and obese adults.
  • 19.
  • 20. Why is being obese a problem? • Link between obesity and a number of serious diseases and mental health problems: • Cancer, hypertension, type 2 diabetes, high blood pressure, depression, social stigmatisation, premature death (World Health Organisation, 2014; Public Health England, 2014) Higher BMI = Higher risk of disease
  • 21. What is an internet-based intervention? • Software system, usually a website • Participants required to log in to access intervention • Enables lifestyle information, modules or assessments to be easily accessible • Self-monitoring tools • Systems may be interactive • Personalised feedback – Automatic/Human • Engagement with other users
  • 22. Rationale for using an internet intervention for weight loss • Traditional primary care treatments (GP appointments, group sessions) can be costly, have mixed effectiveness and experience high attrition rates (Jolly et al., 2011) • Acknowledged the need for intervention components to be investigated (Neve et al., 2010) • Personalised interventions have been shown to be more effective (Kroeze et al., 2006; Neville et al., 2009) • Internet weight loss studies have identified mixed findings (Morgan et al., 2011; McConnon et al., 2007) but have the potential to reduce health professional input and time per patient (Ramadas et al., 2011)
  • 23. Research question How effective is individualised internet based feedback compared to those receiving no feedback within weight loss interventions for overweight/obese adults?
  • 24. Inclusion criteria ( P ): Adults aged > 18 years old with BMI > 25kg/ m2 ( I ): Interventions targeting diet, physical activity or both for weight loss. At least in part delivered individually via internet. ( C ): Standard care or alternative interventions that do not include individualised feedback via the internet ( O ): Weight loss, waist circumference, BMI change, 5% weight loss ( S ): Randomised controlled trials Prospero protocol: http://www.crd.york.ac.uk/prospero/display_record.asp?ID=CRD42012002115
  • 25. Feedback definition Michie et al., 2011, pg. 9: Provide feedback on performance – “This involves providing the participant with data about their own recorded behaviour or commenting on a person’s behavioural performance (e.g. identifying a discrepancy between behavioural performance and a set goal or a discrepancy between one’s own performance in relation to others).”
  • 26. Feedback examples ‘Weekly feedback was given from a pre-programmed computer that instantaneously returned tailored feedback on a Web page when the weight loss diary was submitted.’ (Tate et al., 2006) ‘Each participant who provided diary entries received up to 7 individualized feedback documents via email over the 3 months from the research team. Each sheet gave feedback on a week of diary entries and suggested personalized strategies to address weight loss, reduce energy intake and increase energy expenditure.’ (Morgan et al., 2011)
  • 27. Search strategy Databases: Scopus, Web of Science, EMBASE, MEDLINE, PsycINFO, ASSIA, IBSS and the Sociological Abstracts Clinical Trial Registers Hand searching relevant journals, conference publications and theses databases.
  • 28. Screening process 5861 Total articles identified 2251 Duplicates excluded 3610 Articles remaining 3472 Title and abstract exclusions 138 Articles remaining 23 additional found from reference list search 124 Exclusions as did not meet inclusion criteria: •Participants (n=17) •Design (n=77) •Outcome (n=52) •Intervention (n=52) 14 included articles = 12 separate studies 23 excluded as did not meet inclusion criteria: •Participants (n=6) •Design (n=11) •Outcome (n=12) •Intervention (n=8)
  • 30. Outcomes and timeframes • Intention-to-treat (ITT) for all analyses • Ordered by effect size • Mean difference compared with continuous outcome measures • Risk ratio used for dichotomous variables Control group Total 3 months 6 months 12 months Minimal intervention (TAU or leaflet) 9 5 5 3 Website w/o feedback 3 2 2 1
  • 31. Weight Loss (kg) – End point
  • 32. Weight loss(kg) – 3, 6 and 12 months
  • 33. BMI change – End point
  • 34. BMI change – 3, 6 and 12 months
  • 36. Waist change – 3, 6 and 12 months
  • 37. 5% weight loss – End point
  • 38. 5% WL– 3, 6 and 12 months
  • 39. Summary of significant results Outcome End 3 months 6 months 12 months Weight loss    ~ Waist circumference     BMI     5% weight loss    ~
  • 40. BCTs most commonly identified • Provide feedback on performance • Provide information on consequences • Self-monitoring of behaviour/behaviour outcome • Social support/social change • Goal setting (behaviour/outcome)
  • 41. Wait list or minimal intervention
  • 43. Future work • Behaviour change techniques in relation to effectiveness, engagement and retention rates • Variety of feedback types (provided by a human or automatically) • Internet feedback versus other modality feedback
  • 44. Conclusion Incorporating individualised feedback may be a key behaviour change technique for effective interventions delivered via the internet
  • 45. References Jolly K., Lewis A, Beach J, et al. (2011). Comparison of range of commercial or primary care led weight reduction programmes with minimal intervention control for weight loss in obesity: Lighten Up randomised controlled trial. BMJ 343. Kroeze, W., Werkman, A., Brug, J. (2006) A systematic review of randomised trials on the effectivenss of computer-tailored education on physical activity and dietary behaviors. Annals of Behavioural Medicine, 31 (3), 205-223. McConnon, Á., Kirk, S. F. L., Cockroft, J. E., Harvey, E. L., Greenwood, D. C., Thomas, J. D., . . . Bojke, L. (2007). The Internet for weight control in an obese sample: Results of a randomised controlled trial. BMC Health Services Research, 7. Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., & French, D. P. (2011). A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychology and Health, 26(11), 1479-1498. Morgan, P. J., Collins, C. E., Plotnikoff, R. C., Cook, A. T., Berthon, B., Mitchell, S., & Callister, R. (2011). Efficacy of a workplace-based weight loss program for overweight male shift workers: The workplace POWER (preventing obesity without eating like a rabbit) randomized controlled trial. Preventive Medicine, 52(5), 317- 325. Neve M, Morgan PJ, Jones PR, et al. (2010). Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev, 11 (4), 306-321. Neville, L. M., Milat, A. J., & O'Hara, B. (2009). Computer-tailored weight reduction interventions targeting adults: A narrative systematic review. Health Promotion Journal of Australia, 20(1), 48-57. Public Health England. (2014). Obesity and Health. from www.noo.org.uk/NOO_about_obesity/obesity_and_health Ramadas, A., Quek, K. F., Chan, C. K. Y., & Oldenburg, B. (2011). Web-based interventions for the management of type 2 diabetes mellitus: A systematic review of recent evidence. International Journal of Medical Informatics, 80(6), 389-405 Tate DF, Jackvony EH, Wing RR. A Randomized Trial Comparing Human e-Mail Counseling, Computer-Automated Tailored Counseling, and No Counseling in an Internet Weight Loss Program. Arch Intern Med. 2006;166(15):1620-1625. World Health Organisation. (2014). Obesity and Overweight Fact Sheet. From http://www.who.int/mediacentre/factsheets/fs311/en/.
  • 46. Acknowledgements Co-authors: James Newham Ruth Bell Ashley Adamson Elaine McColl Vera Araujo-Soares Funders:
  • 47. Internet interventions providing personalized feedback are effective for weight loss in overweight and obese adults A. Strongly agree B. Agree C. Neutral D. Disagree E. Strongly disagree Poll Question #5
  • 48. Poll Question #6 The information presented today was helpful A.Strongly agree B.Agree C.Neutral D.Disagree E.Strongly disagree
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  • 51. Thank you! Contact us: info@healthevidence.org For a copy of the presentation please visit: http://www.healthevidence.org/webinars.aspx