The Family Check-Up 4 Health (FCU4Health): Applying Implementation Science Frameworks to the Process of Adapting an Evidence-Based Parenting Program for Prevention of Pediatric Obesity and Excess Weight Gain in Primary Care

Smith, Justin D.; Berkel, Cady; Rudo-Stern, Jenna; Montaño, Zorash; George, Sara M. St.; Prado, Guillermo; Mauricio, Anne M.; Chiapa, Amanda; Bruening, Meg; Dishion, Thomas J.

doi:10.3389/fpubh.2018.00293

Cited by 43 publications

(41 citation statements)

References 74 publications

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“…Participants were 240 children and their primary caregivers enrolled in the Raising Healthy Children project, 33 a randomized trial of the Family Check‐Up 4 Health programme 34 for the prevention of excess weight gain. The programme was delivered in coordination with five paediatric primary care practises in Maricopa County, Arizona.…”

Section: Methodsmentioning

confidence: 99%

Parenting andsocial‐ecologicalcorrelates with children's health behaviours: A latent profile analysis

Grimm

Berkel

et al. 2020

Pediatric Obesity

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Summary Background Paediatric obesity poses dangers to children's short and long‐term health. Multi‐level ecological models posit how children's health behaviours are influenced by interpersonal relationships. Objectives To identify profiles of individual and interpersonal health behaviours and parenting skills among caregivers and their children with elevated BMI. Methods Participants were 240 children (63.7% Latino) ages 5 to 12 years with body mass index ≥85th percentile and their caregivers in a paediatric weight management intervention trial. A latent profile analysis was used to identify profiles among caregiver report of parenting skills; child physical activity, eating behaviours, and food and beverage choices; family mealtime, media and sleep routines; and parent health behaviours, and associations with food and housing insecurity. Results A three‐class model was chosen based on conceptual interpretation and model fit. Profiles were differentiated by parenting skills, child food choices, child physical activity habits, family mealtime, media, and sleep routines, and parent health behaviours. Food and housing insecurity were associated with class membership while child and caregiver anthropometrics were not. Conclusions Distinct profiles existed among this low‐income, racially/ethnically diverse sample of children with elevated BMI. Such findings emphasize the importance of assessing individual and interpersonal influences and contextual factors on childhood obesity.

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Section: Methodsmentioning

confidence: 99%

Parenting andsocial‐ecologicalcorrelates with children's health behaviours: A latent profile analysis

Grimm

Berkel

et al. 2020

Pediatric Obesity

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“…It therefore needed adapting to Australian standards and services, whilst still being applicable, practical and cost-effective for both service users and clinicians in mental health services (Bauer, Damschroder, Hagedorn, Smith, & Kilbourne, 2015;Smith et al, 2018). Adaptations of evidence-based practices are a commonly used implementation strategy, to ensure that the tool is suitable to the targeted service and population (Smith et al, 2018). There was a need to ensure that multiple disciplines (doctors, nurses, occupational therapists, psychologists and social workers) were able to grasp and utilize the tool effectively, as many case managers in the community mental health settings in Australia are not nurses.…”

Section: Developing the Australian Hipmentioning

confidence: 99%

“…There was a need to ensure that multiple disciplines (doctors, nurses, occupational therapists, psychologists and social workers) were able to grasp and utilize the tool effectively, as many case managers in the community mental health settings in Australia are not nurses. Smith et al (2018)found little evidence that adapting evidence-based practice is detrimental to the effectiveness of the tool, as long as the core components of the tool are maintained.…”

Section: Developing the Australian Hipmentioning

confidence: 99%

The adaptation and implementation of the Health Improvement Profile to Australian standards in public mental health settings

Brown

May

Beverley-Stone

2020

Psychiatric Ment Health Nurs

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Accessible Summary What is known on the subject? The Health Improvement Profile (HIP) is a one‐page form developed in the United Kingdom as a tool for mental health nurses to assess service user's physical health needs. The HIP screens service users’ physical health and provides recommendations that clinicians can provide service users with in order to improve their physical health. There was evidence supporting the effectiveness of the HIP; however, the majority of HIP studies to date involve the screening tool being completed by nurses. In Australia, a large proportion of mental health clinicians providing case management to service users in community settings are not nurses. What the paper adds to existing knowledge? This paper shows that the HIP can be adjusted to suit the needs of Australian service users and can be utilized by clinicians from a variety of disciplines. It also shows that both clinicians and Australian service users find the HIP helpful and argues for it being made available for all service users. It has clearly shown a need to target flu vaccine programmes at service users. What are the implications for practice? The HIP has been shown to be a suitable and acceptable screening tool for different clinicians to assess multiple lifestyle risk factors at once, which can be used across different diagnoses and settings. This study, for example, demonstrated a need to focus on promoting the flu vaccine and smoking cessation, as well as encouraging service users to visit eye and dental health services. Abstract IntroductionHealth Improvement Profile (HIP) studies to date primarily focused on the screening tool being completed by nurses. This paper explores the HIP in two different settings, with an emphasis on expanding physical health roles for all mental health clinicians. AimThe aim of the present study was to adapt the HIP to Australian standards and implement it at a large mental health service. MethodThis is an evaluation of the implementation of the HIP over a two‐month pilot period. Clinicians and service users were surveyed on their experience of the HIP. ResultsThe community team completed the HIP with 34 (15%) service users. The inpatient unit completed the HIP with 137 (54%) service users. Results from the HIP clearly show priority areas for health interventions. Feedback from clinicians and service users was predominately positive. DiscussionWe found the HIP to be an acceptable screening tool that encompasses multiple lifestyle risk factors. Implications for practiceThis study clearly demonstrates the utility of the HIP as a workable and acceptable screening tool with real world applicability. In our pilot, for example, we identified the need for the promotion of influenza vaccinations amongst service users, as well as the ongoing need to target smoking cessation and substance use.

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“…After 6 months of implementation, we measured general acceptability using the 15-item Evidence-Based Practice Attitudes Scale, which has good internal consistency (α > .75) and validity (Aarons, 2004), and conducted a brief interview (Smith, Montaño, Mauricio, Berkel, & Dishion, 2016). Scores on the Evidence-Based Practice Attitudes Scale (mean = 2.93; out of 4) indicated acceptability (Montaño et al, 2014).…”

Section: Assessing Implementation Processes and Outcomesmentioning

confidence: 99%

Using implementation science to guide the integration of evidence-based family interventions into primary care.

Smith¹,

Polaha

2017

Families, Systems, & Health

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In this article, we demonstrate how an implementation science (IS) framework is coupled with the measurement of implementation outcomes to effectively integrate evidence-based family interventions in primary care. The primary care environment presents a number of challenges for successfully integrating such interventions. However, IS methods can improve the prospect of successfully implementing a new intervention while simultaneously and rigorously evaluating the impact on salient outcomes. We use our experiences across two pilot trials where the Family Check-Up, an evidence-based family intervention, was integrated into primary care. In these pilot trials, the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework and the Proctor et al. taxonomy of implementation outcomes were used to guide the implementation and evaluate its success. Grounding our presentation in our pilot work offers an illustration of applying the EPIS framework and outcomes measurement to real-world problems and contexts. When embarking on new efforts to integrate behavioral interventions into healthcare settings, the application of IS frameworks and measurement strategies can create generalizable knowledge that substantively contributes to a sparse literature. Today, those “in the trenches” who are translating evidence-based interventions to their setting can contribute to the corpus of research in integrated care by using IS methods to plan a new program and evaluate its feasibility, adoption, and reach.

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The Family Check-Up 4 Health (FCU4Health): Applying Implementation Science Frameworks to the Process of Adapting an Evidence-Based Parenting Program for Prevention of Pediatric Obesity and Excess Weight Gain in Primary Care

Cited by 43 publications

References 74 publications

Parenting andsocial‐ecologicalcorrelates with children's health behaviours: A latent profile analysis

Parenting andsocial‐ecologicalcorrelates with children's health behaviours: A latent profile analysis

The adaptation and implementation of the Health Improvement Profile to Australian standards in public mental health settings

Using implementation science to guide the integration of evidence-based family interventions into primary care.

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