A randomised controlled trial of a consumer-focused e-health strategy for cardiovascular risk management in primary care: The Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) study protocol

BMJ Open

Volumn 4, Issue 2, 2014, Pages

  Redfern, Julie ^a   Usherwood, T ^a   Harris, M F ^b   Rodgers, A ^a   Hayman, N ^c   Panaretto, K ^c   Chow, C ^a   Lau, A Y S ^b   Neubeck, L ^d   Coorey, G ^e   Hersch, F ^f   Heeley, E ^a   Patel, A ^a   Jan, S ^a   Zwar, N ^b   Peiris, D ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d UNIVERSITY OF SYDNEY   (Australia)

^e GEORGE INSTITUTE FOR GLOBAL HEALTH   (Australia)

^f UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHOLESTEROL;

ARTICLE; BLOOD PRESSURE; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; CLINICAL PROTOCOL; COMPUTER PROGRAM; CONSUMER HEALTH INFORMATION; CONSUMER NAVIGATION OF ELECTRONIC CARDIOVASCULAR TOOLS; CONTROLLED STUDY; COST EFFECTIVENESS ANALYSIS; ECONOMIC ASPECT; ETHICS; FOLLOW UP; HEALTH CARE SYSTEM; HEALTH LITERACY; HEALTH PROGRAM; HUMAN; INTERNET; INTERVENTION STUDY; MEDICATION COMPLIANCE; PATIENT CARE; PHYSICAL ACTIVITY; PRACTICE GUIDELINE; PREVALENCE; PRIMARY MEDICAL CARE; RANDOMIZED CONTROLLED TRIAL; SELF CONCEPT; SELF REPORT; SMOKING CESSATION; TELEHEALTH; WAIST CIRCUMFERENCE; AUSTRALIA; BLOOD; BODY MASS; CARDIOVASCULAR DISEASES; COST BENEFIT ANALYSIS; ELECTRONIC HEALTH RECORD; EPIDEMIOLOGY; HEALTH EDUCATION; HEALTH PROMOTION; METHODOLOGY; MOTOR ACTIVITY; PRIMARY HEALTH CARE; PROCEDURES; RISK FACTOR; SINGLE BLIND PROCEDURE; SMARTPHONE; SMOKING; SYSTEM ANALYSIS;

AUSTRALIA; BLOOD PRESSURE; BODY MASS INDEX; CARDIOVASCULAR DISEASES; CHOLESTEROL; CONSUMER HEALTH INFORMATION; COST-BENEFIT ANALYSIS; ELECTRONIC HEALTH RECORDS; HEALTH EDUCATION; HEALTH LITERACY; HEALTH PROMOTION; HUMANS; INTERNET; MEDICATION ADHERENCE; MOTOR ACTIVITY; PRIMARY HEALTH CARE; RESEARCH DESIGN; RISK FACTORS; SELF EFFICACY; SINGLE-BLIND METHOD; SMARTPHONE; SMOKING; SYSTEMS INTEGRATION; WAIST CIRCUMFERENCE;

EID: 84896846707     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2013-004523     Document Type: Article

References (60)

1. World Health Organisation: The top 10 causes of death. 2004 October 2008; Fact sheet No 310.http://www.who.int/mediacentre/factsheets/fs310/en/index.html
2. Vos T, Barker B, Stanley L, et al. The burden of disease and injury in Aboriginal and Torres Strait Islander peoples 2003. Brisbane: University of Queensland, 2007.
3. Heeley E, Peiris D, Patel A, et al. Cardiovascular risk perception and the evidence practice gap in Australian General Practice (the AusHEART study). Med J Aust 2010;192:254-9.
4. Peiris D, Patel A, Cass A, et al. Cardiovascular disease risk management for Aboriginal and Torres Strait Islander peoples in primary health care settings - findings from the Kanyini Audit. Med J Aust 2009;191:304-9.
5. Webster R, Heeley E, Peiris D, et al. Identifying the gaps in cardiovascular risk management. Med J Aust 2009;191:324-9.
6. Reid C, Nelson MR, Shiel L, et al. Australians at risk: management of cardiovascular risk factors in the REACH Registry. Heart Lung Circ 2008;17:114-18. (Pubitemid 351377555)
7. Wan Q, Harris MF, Jayasinghe UW, et al. Quality of diabetes care and coronary heart disease absolute risk in patients with type 2 diabetes mellitus in Australian general practice. Qual Saf Health Care 2006;15:131-5.
8. Steven I, Wing L. Control and cardiovascular risk factors of hypertension. An assessment of a sample of patients. Aust Fam Physician 1999;28:45-8.
9. Vale MJ, Jelinek MV, Best JD. How many patients with coronary heart disease are not achieving their risk-factor targets? Experience in Victoria 1996-1998 versus 1999-2000. Med J Aust 2002;176:211-15. (Pubitemid 34201929)
10. Chow CK, Jolly S, Rao-Melacini P, et al. Association of diet, exercise, and smoking modification with risk of early cardiovascular events after acute coronary syndromes. Circulation 2010;121:750-8.
11. Benner JS, Glynn RJ, Mogun H, et al. Long-term persistence in use of statin therapy in elderly patients. JAMA 2002;288:455-61. (Pubitemid 34787476)
12. Chan DS, Callahan CW, Hatch-Pigott VB, et al. Internet-based home monitoring and education of children with asthma is comparable to ideal office-based care: results of a 1-year asthma in-home monitoring trial. Pediatrics 2007;119:569-78. (Pubitemid 46407554)
13. Jan RL, Wang JY, Huang MC, et al. An internet-based interactive telemonitoring system for improving childhood asthma outcomes in Taiwan. Telemed J E Health 2007;13:257-68.
14. van der Meer V, van Stel HF, Detmar SB, et al. Internet-based self-management offers an opportunity to achieve better asthma control in adolescents. Chest 2007;132:112-19. (Pubitemid 47071766)
15. Grant RW, Wald JS, Schnipper JL, et al. Practice-linked online personal health records for type 2 diabetes mellitus: a randomized controlled trial. Arch Intern Med 2008;168:1776-82.
16. Stinson JN, Mcgrath PJ, Hodnett ED, et al. An internet-based self-management program with telephone support for adolescents with arthritis: a pilot randomized controlled trial. J Rheumatol 2010;37:1944-52.
17. Green BB, Cook AJ, Ralston JD, et al. Effectiveness of home blood pressure monitoring, Web communication, and pharmacist care on hypertension control: a randomized controlled trial. JAMA 2008;299:2857-67. (Pubitemid 351930885)
18. Andrews G, Cuijpers P, Craske MG, et al. Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical health care: a meta-analysis. PLoS ONE 2010;5:e13196.
19. Titov N, Andrews G, Schwencke G, et al. Randomized controlled trial of Internet cognitive behavioural treatment for social phobia with and without motivational enhancement strategies. Aust N Z J Psychiatry 2010;44:938 -45.
20. Webb LT, Joseph J, Yardley L, et al. Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res 2010;12:e4.
21. Wantland DJ, Portillo CJ, Holzemer WL, et al. The effectiveness of web-based vs. non-web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res 2004;6:e40.
22. van den Berg MH, Schoones JW, Vliet Vlieland TP. Internet-based physical activity interventions: a systematic review of the literature. J Med Internet Res 2007;9:e26.
23. Balmford J, Borland R, Benda P. Patterns of use of an automated interactive personalized coaching program for smoking cessation. J Med Internet Res 2008;10:e54.
24. Stevens JV, Funk LK, Brantley JP, et al. Design and implementation of an interactive website to support long-term maintenance of weight loss. J Med Internet Res 2008;10:e1.
25. Murray E, Burns J, See TS, et al. Interactive health communication applications for people with chronic disease. Cochrane Database Syst Rev 2005;(4):CD004274.
26. Free C, Knight R, Robertson S, et al. Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial. Lancet 2011;378:49-55.
27. Whittaker R, Borland R, Bullen C, et al. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev 2009;(4):CD006611.
28. Patrick K, Raab F, Adams MA, et al. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res 2009;11:e1.
29. Hurling R, Catt M, Boni MD, et al. Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. J Med Internet Res 2007;9:e7. (Pubitemid 47450388)
30. Petrie KJ, Perry K, Broadbent E, et al. A text message programme designed to modify patients' illness and treatment beliefs improves self-reported adherence to asthma preventer medication. Br J Health Psychol 2012;17:74-84.
31. Franklin VL, Waller A, Pagliari C, et al. A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabet Med 2006;23:1332-8. (Pubitemid 44787797)
32. Marquez CE, de la Figuera von Wichmann M, Gil Guillen V, et al. Effectiveness of an intervention to provide information to patients with hypertension as short text messages and reminders sent to their mobile phone (HTA-Alert). Aten Primaria 2004;34:399-405.
33. Miloh T, Annunziato R, Arnon R, et al. Improved adherence and outcomes for pediatric liver transplant recipients by using text messaging. Pediatrics 2009;124:e844-50.
34. Lester RT, Ritvo P, Mills EJ, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet 2010;376:1838-45.
35. Chow CK, Redfern J, Thiagalingam A, et al. Design and rationale of the tobacco, exercise and diet messages (TEXT ME) trial of a text message-based intervention for ongoing prevention of cardiovascular disease in people with coronary disease: a randomised controlled trial protocol. BMJ Open 2012;2:e000606.
36. Redfern J, Thiagalingam A, Jan S, et al. Development of a set of mobile phone text messages designed for prevention of recurrent cardiovascular events. Eur J Prev Cardiol 2012 [epub ahead of print]. doi: 10.1177/2047487312449416.
37. Tang PC, Ash JS, Bates DW, et al. Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. J Am Med Inform Assoc 2006;13:121-6. (Pubitemid 43332901)
38. Lau AY, Sintchenko V, Crimmins J, et al. Protocol for a randomised controlled trial examining the impact of a web-based personal health management system on the uptake of influenza vaccination rates. BMC Health Serv Res 2012;12:86.
39. IOM (Institute of Medicine). Health IT and patient safety: building safer systems for better care. Washington, DC: The National Academies Press, 2012.
40. Australian Bureau of Statistics. Household use of information technology, Australia, 2010 -11. Catalogue number 8146.0. Canberra: Commonwealth of Australia, 2011. http://www.abs.gov.au/ausstats/absat.nsf/mf/8146.0
41. Australian Bureau of Statistics. National Aboriginal and Torres Strait Islander Social Survey, 2008. Cat. no.4714.0 . Canberra: Commonwealth of Australia, 2010.
42. Australian Media Communications Authority. ACMA Communications report 2010-11. Canberra: Commonwealth of Australia, 2011.
43. Peiris D, Usherwood T, Panaretto K, et al. The Treatment Of cardiovascular Risk in Primary care using Electronic Decision supOrt (TORPEDO) study - protocol for a cluster randomised, controlled trial of an electronic decision support and quality improvement intervention in Australian primary health care. BMJ Open 2012;2:e002177.
44. Peiris DP, Joshi R, Webster RJ, et al. An electronic clinical decision support tool to assist primary care providers in cardiovascular disease risk management: development and mixed methods evaluation. J Med Internet Res 2009;11:e51.
45. Peiris D, Usherwood T, Weeramanthri T, et al. New tools for an old trade: a socio-technical appraisal of how electronic decision support is used by primary care practitioners. Sociol Health Illn 2011;33:1002-18.
46. National Vascular Disease Prevention Alliance. Guidelines for the assessment of absolute cardiovascular risk: National Vascular Disease Prevention Alliance, 2009.
47. PEN Computer Systems. Clinical Audit Tool. http://www.clinicalaudit.com. au/ (accessed 30 Aug 2013).
48. Neubeck L, Ascanio R, Bauman A, et al. Planning locally relevant internet programs for secondary prevention of cardiovascular disease. Eur J Cardiovasc Nurs 2011;10:213-20.
49. Fogg BJ. Persuasive technology: using computers to change what we think and do. USA: Morgan Kaufmann Publishers, 2003.
50. National Heart Foundation of Australia and the Cardiac Society of Australia and New Zealand. Reducing risk in heart disease: an expert guide to clinical practice for secondary prevention of coronary heart disease. Melbourne: National Heart Foundation of Australia, 2012. http://www.heartfoundation.org. au/SiteCollectionDocuments/Reducing-risk-in-heart-disease.pdf
51. Osborne RH, Batterham RW, Elsworth GR, et al. The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ). BMC Public Health 2013;13:658.
52. Norman CD, Skinner HA. eHEALS: The eHealth Literacy Scale. J Med Internet Res 2006;8:e27. (Pubitemid 47450198)
53. World Health Organisation. Global Physical Activity Questionnaire (GPAQ) Analysis Guide. 2011. http://www.who.int/chp/steps/GPAQ/en/index.html (accessed 14 Jun 2013).
54. West R, Hajek P, Stead L, et al. Outcome criteria in smoking cessation trials: proposal for a common standard. Addiction 2005;100:299-303. (Pubitemid 40363436)
55. Viney R, Norman R, King MT, et al. Time trade-off derived EQ-5D weights for Australia. Value Health 2011;14:928-36.
56. Pill Collaborative Group. An international randomised placebo-controlled trial of a four-component combination pill ("Polypill") in people with raised cardiovascular risk. PLoS ONE 2011;6:e19857.
57. Oakley A, Strange V, Bonell C, et al. Process evaluation in randomised controlled trials of complex interventions. BMJ 2006;332:413-16. (Pubitemid 43797387)
58. Jan S, Usherwood T, Brien JA, et al. What determines adherence to treatment in cardiovascular disease prevention? Protocol for a mixed methods preference study. BMJ Open 2011;1: e000372.
59. Pawson R, Tilley N. Realistic evaluation. London; Thousand Oaks: Sage, 1997.
60. Patton M. Qualitative research and evaluation methods. USA: SAGE Publications, 2002.