Dissemination of an evidence-based telephone-delivered lifestyle intervention: factors associated with successful implementation and evaluation

Applying a User Centred Design Approach to Optimise a Workplace Initiative for Wide-Scale Implementation

Translation of an effective research intervention into a program able to be implemented in practice typically requires adaptations to ensure the outcomes can be achieved within the applied setting. User centred design (UCD) methodologies can support these iterative adaptations, with this approach being particularly well suited to peer-led interventions, due to a focus on usability. We describe and reflect on the UCD approach that was applied to optimise an online, peer-led workplace health promotion initiative (BeUpstanding: ACTRN12617000682347) to be suitable for wide-scale implementation and evaluation. Optimisation was aligned against the indicators of the RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework, with UCD methodologies (discovery interviews, persona and scenario mapping, facilitated workshops, surveys and prototyping) employed to enhance the program according to all RE-AIM dimensions. The core team (content experts, implementation scientist, interaction designer, software developer, business developer) worked closely with policy and practice partners and end users (workplace champions, management and staff) to iteratively develop and test across the RE-AIM indicators. This description and reflection of the process of applying UCD and the RE-AIM framework to the optimisation of BeUpstanding is intended to provide guidance for other behaviour change research adaptations into practice.

The adaptation and translation of the PEACH™ RCT intervention: the process and outcomes of the PEACH™ in the community trial

OBJECTIVE

To describe the process and report selected outcomes of translating an effective child weight management initiative (PEACH™) from a randomised controlled trial intervention to a community health programme.

STUDY DESIGN AND METHODS

Pre-post study design utilising the reach, effectiveness, adoption, implementation and maintenance (RE-AIM) evaluation framework. Adaptation of PEACH™ required significant promotional activity and consideration of legal, ethical and financial issues. PEACH™ components were revised and an evaluation design based on the RE-AIM framework was developed. Facilitator training workshops were made available to South Australian health or education professionals initially, then opened up to new graduates, interstate dietitians and others interested in professional development. Facilitators completed pretraining and post-training questionnaires and a third questionnaire following programme delivery. Data were collected from families by facilitators and returned to university staff for assessment of change (baseline to programme end) in body mass index (BMI) and waist circumference (WC) z-scores.

RESULTS

Changes to organisational and political environments prevented maximum programme reach and adoption. Nonetheless, data indicated that PEACH™ was effective at improving facilitators' confidence (P < 0.05) and children's (n = 37) BMI z-score (-0.17, 95% confidence interval [CI]: 0.03:0.30, P = 0.016), WC z-score (-0.14, 95% CI: -0.02:0.30, P = 0.09) and lifestyle behaviours. Collection of maintenance data was prevented due to time and financial constraints.

CONCLUSIONS

Translational research needs to develop ways to effectively and efficiently bridge the gap between behavioural research and practice to improve the adoption of evidence-based approaches to child weight management. Nutrition educators and researchers can drive these nutrition-focussed translational research efforts forward. Funding bodies and health service organisations are encouraged to provide financial and structural support for such activity.

UWALK: the development of a multi-strategy, community-wide physical activity program

UWALK is a multi-strategy, multi-sector, theory-informed, community-wide approach using e and mHealth to promote physical activity in Alberta, Canada. The aim of UWALK is to promote physical activity, primarily via the accumulation of steps and flights of stairs, through a single over-arching brand. This paper describes the development of the UWALK program. A social ecological model and the social cognitive theory guided the development of key strategies, including the marketing and communication activities, establishing partnerships with key stakeholders, and e and mHealth programs. The program promotes the use of physical activity monitoring devices to self-monitor physical activity. This includes pedometers, electronic devices, and smartphone applications. In addition to entering physical activity data manually, the e and mHealth program provides the function for objective data to be automatically uploaded from select electronic devices (Fitbit®, Garmin and the smartphone application Moves) The RE-AIM framework is used to guide the evaluation of UWALK. Funding for the program commenced in February 2013. The UWALK brand was introduced on April 12, 2013 with the official launch, including the UWALK website on September 20, 2013. This paper describes the development and evaluation framework of a physical activity promotion program. This program has the potential for population level dissemination and uptake of an ecologically valid physical activity promotion program that is evidence-based and theoretically framed.

Implementation findings from a hybrid III implementation-effectiveness trial of the Diabetes Prevention Program (DPP) in the Veterans Health Administration (VHA)

Background

The Diabetes Prevention Program (DPP) is an effective lifestyle intervention to reduce incidence of type 2 diabetes. However, there are gaps in knowledge about how to implement DPP. The aim of this study was to evaluate implementation of DPP via assessment of a clinical demonstration in the Veterans Health Administration (VHA).

Methods

A 12-month pragmatic clinical trial compared weight outcomes between the Veterans Affairs Diabetes Prevention Program (VA-DPP) and the usual care MOVE!® weight management program (MOVE!). Eligible participants had a body mass index (BMI) ≥30 kg/m² (or BMI ≥ 25 kg/m² with one obesity-related condition), prediabetes (glycosylated hemoglobin (HbA1c) 5.7–6.5% or fasting plasma glucose (FPG) 100–125 mg/dL), lived within 60 min of their VA site, and had not participated in a weight management program within the last year. Established evaluation and implementation frameworks were used to guide the implementation evaluation. Implementation barriers and facilitators, delivery fidelity, participant satisfaction, and implementation costs were assessed. Using micro-costing methods, costs for assessment of eligibility and scheduling and maintaining adherence per participant, as well as cost of delivery per session, were also assessed.

Results

Several barriers and facilitators to Reach, Adoption, Implementation, Effectiveness and Maintenance were identified; barriers related to Reach were the largest challenge encountered by site teams. Fidelity was higher for VA-DPP delivery compared to MOVE! for five of seven domains assessed. Participant satisfaction was high in both programs, but higher in VA-DPP for most items. Based on micro-costing methods, cost of assessment for eligibility was $68/individual assessed, cost of scheduling and maintaining adherence was $328/participant, and cost of delivery was $101/session.

Conclusions

Multi-faceted strategies are needed to reach targeted participants and successfully implement DPP. Costs for assessing patients for eligibility need to be carefully considered while still maximizing reach to the targeted population.

Implementation evaluation of the Telephone Lifestyle Coaching (TLC) program: organizational factors associated with successful implementation

The Telephone Lifestyle Coaching (TLC) program provided telephone-based coaching for six lifestyle behaviors to 5321 Veterans at 24 Veterans Health Administration (VHA) medical facilities. The purpose of the study was to conduct an evaluation of the TLC program to identify factors associated with successful implementation. A mixed-methods study design was used. Quantitative measures of organizational readiness for implementation and facility complexity were used to purposively select a subset of facilities for in-depth evaluation. Context assessments were conducted using interview transcripts. The Consolidated Framework for Implementation Research (CFIR) was used to guide qualitative data collection and analysis. Factors most strongly correlated with referral rates included having a skilled implementation leader who used effective multi-component strategies to engage primary care clinicians as well as general clinic structures that supported implementation. Evaluation findings pointed to recommendations for local and national leaders to help anticipate and mitigate potential barriers to successful implementation.

The relationship between the implementation and effectiveness of a nationwide physical activity telephone counseling service for adults with spinal cord injury

PURPOSE

Get in Motion (GIM) is an evidence-based telephone counseling service that promotes leisure-time physical activity (LTPA) among Canadian adults with spinal cord injury (SCI). The first phase of GIM sustained intentions for, and increased participation in, LTPA; however, it is unclear how GIM led to these outcomes. The purpose of this study was to explore the implementation correlates of change in LTPA intentions and behavior in the second phase of GIM.

METHODS

The frequency, duration, and content of counseling sessions were tailored to meet clients' (N = 46; 50.0% male; 50.0% paraplegia; 51.46 (SD 12.36) years old) needs and preferences. Intervention dose and content were monitored using Counseling Session Checklists. Clients self-reported their intentions for and actual aerobic and strength-training LTPA participation at baseline, 2-, 4-, and 6-months, and their perceptions of service quality at 6-months.

RESULTS

The second phase of GIM effectively sustained LTPA intentions and increased time spent on moderate-to-vigorous strength-training and total LTPA. Increases in clients' moderate-to-vigorous aerobic LTPA were significantly positively related to intervention dose, intervention content (both informational and behavioral strategies), and clients' perceptions of service credibility.

CONCLUSIONS

This study identified intervention dose and content as key implementation variables for an LTPA telephone counseling service for adults with SCI. Implications for Rehabilitation An evidence- and theory-based telephone counseling service can effectively sustain LTPA intentions and increase LTPA behavior among adults with SCI. The first two months of the service are a critical period for enhancing LTPA participation and for minimizing dropouts. The provision of both informational and behavioral strategies is important for increasing aerobic LTPA levels among adults with SCI.

Uptake of evidence-based physical activity programs: comparing perceptions of adopters and nonadopters

Translating evidence-based physical activity interventions into practice have been problematic. Limited research exists on the adoption decision-making process. This study explored health educator perceptions of two evidence-based, physical activity programs-one was developed through an integrated research-practice partnership approach (FitEx) and the other was research-developed, Active Living Every Day (ALED). Semi-structured interviews were conducted with 12 health educators who were trained on either ALED (n = 6) or FitEx (n = 6) and had either delivered (n = 6) or did not deliver (n = 6) the intervention. Program adopters identified with program characteristics, materials, processes, implementation, fit within system, and collaborations as more positive factors in decision-making when compared to those that did not deliver. FitEx health educators were more likely to deliver the program and found it to be a better fit and easier to use. An integrated research-practice partnership may improve adoption of physical activity programs in typical practice settings.

Exploring the Range of Lifestyle Interventions Used in Dutch Health Care Practice

Background. The application of evidence-based lifestyle interventions is suboptimal, but little is known what interventions are actually used. This study aimed to explore the range of lifestyle interventions used in Dutch ambulatory health care settings. Method. We conducted interviews (n = 67) in purposefully selected hospitals, general practices, and community care organizations. Interviews focused on identifying activities to help patients stop smoking, reduce alcohol consumption, increase physical activity, eat a healthy diet, and lose weight. We also asked who developed the interventions. All reported activities were registered and analyzed. Results. Four categories of health promotion activities emerged: giving advice, making referrals, offering counseling, and providing lifestyle interventions organized separately from the care process. In total, 102 lifestyle interventions were reported. Forty-five interventions were developed by researchers, of which 30 were developed by the Dutch Expert Center on Tobacco Control. Providers did not know the source of 31 interventions. Eighteen interventions were developed by the providers themselves, and eight were based on evidence-based guidelines. Conclusions. Health promotion activities seemed to be widely present in Dutch health care, in particular smoking cessation interventions. Although health care providers use many different interventions, replacing nontested for evidence-based interventions is required.

Making the connection-factors influencing implementation of evidence supported and non-evaluated lifestyle interventions in healthcare: a multiple case study

Many implementation barriers relate to lifestyle interventions (LIs) being developed by scientists. Exploring whether implementation of non-evaluated LIs is less complicated, might offer insight how to improve the use of effective interventions. This study aimed to identify influencing factors for implementation and compare factors between evidence supported and non-evaluated LIs. Evidence-supported (n = 7) and non-evaluated LIs (n = 7) in hospitals, general practices and community care organizations were included as cases. Semi-structured interviews (n = 46) were conducted. Additionally, documents (n = 207) were collected describing intervention, implementation process, and policy. We used a stepwise approach to inductively identify factors, organize them by diffusion phase, and an existing framework. A total of 37 factors were identified. 'Dissemination' factors were mainly observed in evidence-supported LIs. 'Compatibility to existing structures' ('adoption'), 'funding' and 'connection to existing care processes' ('implementation') was factors identified in all cases. 'Quality control' and 'ongoing innovation' ('maintenance') were reported in evidence-supported interventions. In all domains of the framework factors were observed. Factors identified in this study are in line with the literature. The findings do not support the assumption that implementation of non-evaluated LIs is perceived as less complex.