TY - JOUR AU - Neubeck L. AU - Panaretto K. AU - Harris M. AU - Zwar N. AU - Usherwood T. AU - Lau A. AU - Redfern J AU - Chow Clara AU - Coorey G. AU - Parker S. AU - Peiris David AB -

INTRODUCTION: Technology-mediated strategies have potential to engage patients in modifying unhealthy behaviour and improving medication adherence to reduce morbidity and mortality from cardiovascular disease (CVD). Furthermore, electronic tools offer a medium by which consumers can more actively navigate personal healthcare information. Understanding how, why and among whom such strategies have an effect can help determine the requirements for implementing them at a scale. This paper aims to detail a process evaluation that will (1) assess implementation fidelity of a multicomponent eHealth intervention; (2) determine its effective features; (3) explore contextual factors influencing and maintaining user engagement; and (4) describe barriers, facilitators, preferences and acceptability of such interventions. METHODS AND ANALYSIS: Mixed-methods sequential design to derive, examine, triangulate and report data from multiple sources. Quantitative data from 3 sources will help to inform both sampling and content framework for the qualitative data collection: (1) surveys of patients and general practitioners (GPs); (2) software analytics; (3) programme delivery records. Qualitative data from interviews with patients and GPs, focus groups with patients and field notes taken by intervention delivery staff will be thematically analysed. Concurrent interview data collection and analysis will enable a thematic framework to evolve inductively and inform theory building, consistent with a realistic evaluation perspective. Eligible patients are those at moderate-to-high CVD risk who were randomised to the intervention arm of a randomised controlled trial of an eHealth intervention and are contactable at completion of the follow-up period; eligible GPs are the primary healthcare providers of these patients. ETHICS AND DISSEMINATION: Ethics approval has been received from the University of Sydney Human Research Ethics Committee and the Aboriginal Health and Medical Research Council (AH&MRC) of New South Wales. Results will be disseminated via scientific forums including peer-reviewed publications and national and international conferences. TRIAL REGISTRATION NUMBER: ANZCTR 12613000715774.

AD - The George Institute for Global Health, Sydney, New South Wales, Australia.
Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK.
Sydney Nursing School, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Faculty of Medicine, Nursing and Health Sciences, School of Nursing & Midwifery, Flinders University, Adelaide, Australia.
Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia.
Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Cardiovascular Division, The George Institute for Global Health, Sydney, New South Wales, Australia.
Centre for Chronic Disease, School of Medicine, University of Queensland, Brisbane, Queensland, Australia.
School of Public Health and Community Medicine, University of New South Wales, Sydney, New South Wales, Australia. AN - 28077414 BT - BMJ Open DP - NLM ET - 2017/01/13 J2 - BMJ open LA - eng LB - AUS
CDV
FY17 M1 - 1 N1 - Coorey, Genevieve M
Neubeck, Lis
Usherwood, Timothy
Peiris, David
Parker, Sharon
Lau, Annie Y S
Chow, Clara
Panaretto, Kathryn
Harris, Mark
Zwar, Nicholas
Redfern, Julie
England
BMJ Open. 2017 Jan 11;7(1):e014353. doi: 10.1136/bmjopen-2016-014353. N2 -

INTRODUCTION: Technology-mediated strategies have potential to engage patients in modifying unhealthy behaviour and improving medication adherence to reduce morbidity and mortality from cardiovascular disease (CVD). Furthermore, electronic tools offer a medium by which consumers can more actively navigate personal healthcare information. Understanding how, why and among whom such strategies have an effect can help determine the requirements for implementing them at a scale. This paper aims to detail a process evaluation that will (1) assess implementation fidelity of a multicomponent eHealth intervention; (2) determine its effective features; (3) explore contextual factors influencing and maintaining user engagement; and (4) describe barriers, facilitators, preferences and acceptability of such interventions. METHODS AND ANALYSIS: Mixed-methods sequential design to derive, examine, triangulate and report data from multiple sources. Quantitative data from 3 sources will help to inform both sampling and content framework for the qualitative data collection: (1) surveys of patients and general practitioners (GPs); (2) software analytics; (3) programme delivery records. Qualitative data from interviews with patients and GPs, focus groups with patients and field notes taken by intervention delivery staff will be thematically analysed. Concurrent interview data collection and analysis will enable a thematic framework to evolve inductively and inform theory building, consistent with a realistic evaluation perspective. Eligible patients are those at moderate-to-high CVD risk who were randomised to the intervention arm of a randomised controlled trial of an eHealth intervention and are contactable at completion of the follow-up period; eligible GPs are the primary healthcare providers of these patients. ETHICS AND DISSEMINATION: Ethics approval has been received from the University of Sydney Human Research Ethics Committee and the Aboriginal Health and Medical Research Council (AH&MRC) of New South Wales. Results will be disseminated via scientific forums including peer-reviewed publications and national and international conferences. TRIAL REGISTRATION NUMBER: ANZCTR 12613000715774.

PY - 2017 SN - 2044-6055 (Electronic)
2044-6055 (Linking) EP - e014353 T2 - BMJ Open TI - Implementation of a consumer-focused eHealth intervention for people with moderate-to-high cardiovascular disease risk: protocol for a mixed-methods process evaluation VL - 7 Y2 - FY17 ER -