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Brammall BR, Garad RM, Teede HJ, Harrison CL. Evaluating Preconception Health and Behaviour Change in Australian Women Planning a Pregnancy: The OptimalMe Program, a Digital Healthy Lifestyle Intervention with Remotely Delivered Coaching. Nutrients 2024; 16:155. [PMID: 38201984 PMCID: PMC10780803 DOI: 10.3390/nu16010155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 12/22/2023] [Accepted: 12/25/2023] [Indexed: 01/12/2024] Open
Abstract
OptimalMe is a digital healthy lifestyle intervention for women planning a pregnancy, with remotely delivered coaching. This follow-up study of Australian women, stratified by coaching delivery mode (phone vs. videoconferencing), assessed alignment to preconception care guidelines and self-reported behaviour change. Overall, 298 women enrolled with a mean (SD) age of 31.8 (4.3) years and mean BMI of 25.7 (6.1) kg/m2. Suboptimal preconception behaviours were reported at baseline, including alcohol consumption (57.2%), infrequent weighing (37.2%) and incomplete cervical cancer screening (15.8%) and prenatal supplementation (38.5). At follow-up (4.5 months) (n = 217), a statistically significant shift towards desired behaviours was reported for alcohol consumption (z = -2.6045, p = 0.00932), preconception supplementation (z = -2.7288, p = 0.00634) and frequent weight monitoring (z = -5.2911, p < 0.00001). An insignificant shift towards adherence to cervical cancer screening (z = -1.8679, p = 0.06148) was observed, with a positive trend towards adherence. Results indicate that women who are actively planning a pregnancy require support to optimise health and lifestyle in preparation for pregnancy and general health and lifestyle improvement. Women demonstrated improvement in lifestyle behaviours and self-monitoring, indicating the uptake of low-intensity, non-prescriptive information provision. Supporting the provision of knowledge-enhancing tools and general healthy lifestyle information combines with skilled health coaching as an effective method for behaviour change and self-management. OptimalMe also shows significant improvements in rates of healthcare engagement, which suggests coaching-based digital health interventions may decrease women's barriers for preconception care and improve engagement in clinical settings.
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Affiliation(s)
| | | | | | - Cheryce L. Harrison
- Monash Centre for Health Research and Implementation, Monash University and Monash Health, Melbourne, VIC 3168, Australia; (B.R.B.); (R.M.G.); (H.J.T.)
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Dariotis JK, Mabisi K, Jackson-Gordon R, Yang N, Rose EJ, Mendelson T, Fishbein DH. Implementing Adolescent Wellbeing and Health Programs in Schools: Insights from a Mixed Methods and Multiple Informant Study. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2023; 24:663-675. [PMID: 36630022 PMCID: PMC10473520 DOI: 10.1007/s11121-022-01481-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2022] [Indexed: 01/12/2023]
Abstract
Determining the factors that influence implementation of school-based wellbeing and health programs is essential for achieving desired program effects. Using a convergent mixed-methods, multiple informant design, this study considered factors that influence implementation of health programs for ninth grade students and in what ways implementation is differentially perceived by multiple informants (i.e., participants, instructors, and independent observers). Two types of programs-mindfulness and health education-were implemented with ninth graders (N = 70) in three schools situated in low-resourced urban neighborhoods. Study outcomes were derived from four data sources: (1) focus group participants (N = 45); (2) program instructor fidelity ratings; (3) independent observer fidelity ratings and notes; and (4) instructor open-ended session responses. Using thematic and mixed methods integration analyses, we identified themes related to implementation promoting or challenging factors. Theme names differed when data sources were separately analyzed by informant. Mixed methods integration analysis indicated that four themes were common across all informant groups: (1) competent, attentive, and engaging instructors are essential; (2) programs should involve interactive components (e.g., physical activities, applied learning opportunities); (3) adequate time for program delivery is key for student exposure and engagement; and (4) students' availability and preferences should guide program scheduling. A fifth theme, unique to instructor and observer perspectives, was that program implementation was negatively impacted by distractions from multiple sources, including instructors, students, and settings. Recommendations from students, instructors, and observers for implementation optimization are discussed.
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Affiliation(s)
- Jacinda K Dariotis
- Department of Human Development and Family Studies and Family Resiliency Center, College of Agricultural, Consumer and Environmental Sciences; Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, The University of Illinois at Urbana-Champaign, Urbana, IL, USA.
| | - Keren Mabisi
- Evaluation Services Center, College of Education, Criminal Justice, & Human Services, University of Cincinnati, Cincinnati, OH, USA
| | | | - Nan Yang
- Evaluation Services Center, College of Education, Criminal Justice, & Human Services, University of Cincinnati, Cincinnati, OH, USA
| | - Emma Jane Rose
- The Child Study Center, Department of Psychology, College of Liberal Arts, The Pennsylvania State University, PA, University Park, USA
| | - Tamar Mendelson
- Department of Mental Health, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Diana H Fishbein
- Frank Porter Graham Child Development Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
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Weber P, Birkholz L, Kohler S, Helsper N, Dippon L, Ruetten A, Pfeifer K, Semrau J. Development of a Framework for Scaling Up Community-Based Health Promotion: A Best Fit Framework Synthesis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084773. [PMID: 35457644 PMCID: PMC9032469 DOI: 10.3390/ijerph19084773] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/28/2022] [Accepted: 04/11/2022] [Indexed: 11/20/2022]
Abstract
Community-based health promotion with a focus on people with social disadvantages is essential to address persistently existing health inequities. However, achieving an impact on public health requires scaling up such approaches beyond manifold funded pilot projects. The aim of this qualitative review is to provide an overview of scaling-up frameworks in health promotion and to identify key components for scaling up community-based health promotion. First, we conducted a systematic search for scaling-up frameworks for health promotion in PubMed, CINAHL, Scopus, Web of Science, PsycInfo, and SportDiscus. Based on the included frameworks, we created an a priori framework. Second, we searched for primary research studies in the same databases that reported scaling-up processes of community-based health promotion. We coded the data using the a priori framework. From 80 articles, a total of 12 frameworks were eligible, and 5 were included for data extraction. The analysis yielded 10 a priori defined key components: “innovation characteristics”; “clarify and coordinate roles and responsibilities”; “build up skills, knowledge, and capacity”; “mobilize and sustain resources”; “initiate and maintain regular communication”; “plan, conduct, and apply assessment, monitoring, and evaluation”; “develop political commitment and advocacy”; “build and foster collaboration”; “encourage participation and ownership”; and “plan and follow strategic approaches”. We further identified 113 primary research studies; 10 were eligible. No new key components were found, but all a priori defined key components were supported by the studies. Ten key components for scaling up community-based health promotion represent the final framework. We further identified “encourage participation and ownership” as a crucial component regarding health equity.
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McLean S, Coventon L, Finch CF, Dallat C, Carden T, Salmon PM. Evaluation of a systems ergonomics-based incident reporting system. APPLIED ERGONOMICS 2022; 100:103651. [PMID: 34837751 DOI: 10.1016/j.apergo.2021.103651] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 08/10/2021] [Accepted: 11/15/2021] [Indexed: 06/13/2023]
Abstract
INTRODUCTION Incident reporting and learning systems are a fundamental component of safety management. The purpose of this study was to evaluate a novel incident reporting system specific to the Australian Led Outdoor Activity (LOA) sector. The Understanding and Preventing Led Outdoor Accidents Data System (UPLOADS), is a recently introduced systems thinking-based incident reporting and learning system that utilises contemporary safety theory and methods. METHOD The implementation of UPLOADS was evaluated using the RE-AIM framework based on the following dimensions: Reach, Efficacy, Adoption, Implementation, and Maintenance. A pragmatic evaluation approach was used in which evaluation data were collected through the triangulation of multiple sources including different LOA stakeholders from both the individual organisational level (LOA providers) and LOA sector governance level (LOA industry representatives), incident data collected through the UPLOADS National Incident Dataset, and the online and physical presence of UPLOADS. RESULTS The findings show that a key strength of UPLOADS is its effectiveness as incident reporting tool for improving safety in the LOA sector. However, a weakness of UPLOADS is that it is not being implemented appropriately by the LOA providers. CONCLUSION Overall, the current findings suggest that UPLOADS incident reporting tool is perceived by SMEs as an effective tool for improving safety in LOA. However, further work is required for UPLOADS to have a greater impact on the LOA sector. Specifically, Implementation of the UPLOADS system requires improvement, as well as additional training and education may be required to upskill and empower LOA providers to improve reporting and enhance the value placed on safety by LOA stakeholders. The RE-AIM framework was an appropriate evaluation framework for understanding the effectiveness of UPLOADS as a LOA sector specific incident reporting and learning system. PRACTICAL APPLICATIONS The current findings have practical implications for ergonomics researchers applying evaluation frameworks in the real world, and LOA providers for implementing safety interventions. Lastly, contemporary systems-based incident reporting and learning systems have the capability to enhance the safety practices of the LOA sector.
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Affiliation(s)
- Scott McLean
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Australia.
| | - Lauren Coventon
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Australia
| | - Caroline F Finch
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Clare Dallat
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Australia
| | - Tony Carden
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Australia
| | - Paul M Salmon
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Australia
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Shanthosh J, Kapoor D, Josyula LK, Patel A, Gupta Y, Tandon N, Jan S, Teede HJ, Desai A, Joshi R, Praveen D. Lifestyle InterVention IN Gestational diabetes (LIVING) in India, Bangladesh and Sri Lanka: protocol for process evaluation of a randomised controlled trial. BMJ Open 2020; 10:e037774. [PMID: 33318108 PMCID: PMC7737084 DOI: 10.1136/bmjopen-2020-037774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 07/31/2020] [Accepted: 09/23/2020] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION The development of type 2 diabetes mellitus disproportionately affects South Asian women with prior gestational diabetes mellitus (GDM). The Lifestyle InterVention IN Gestational diabetes (LIVING) Study is a randomised controlled trial of a low-intensity lifestyle modification programme tailored to women with previous GDM, in India, Bangladesh and Sri Lanka, aimed at preventing diabetes/pre-diabetes. The aim of this process evaluation is to understand what worked, and why, during the LIVING intervention implementation, and to provide additional data that will assist in the interpretation of the LIVING Study results. The findings will also inform future scale-up efforts if the intervention is found to be effective. METHODS AND ANALYSIS The Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) methodological approach informed the evaluation framework. Michie's Behaviour Change Theory and Normalisation Process Theory were used to guide the design of our qualitative evaluation tools within the overall RE-AIM evaluation framework. Mixed methods including qualitative interviews, focus groups and quantitative analyses will be used to evaluate the intervention from the perspectives of the women receiving the intervention, facilitators, site investigators and project management staff. The evaluation will use evaluation datasets, administratively collected process data accessed during monitoring visits, check lists and logs, quantitative participant evaluation surveys, semistructured interviews and focus group discussions. Interview participants will be recruited using maximum variation purposive sampling. We will undertake thematic analysis of all qualitative data, conducted contemporaneously with data collection until thematic saturation has been achieved. To triangulate data, the analysis team will engage in constant iterative comparison among data from various stakeholders. ETHICS AND DISSEMINATION Ethics approval has been obtained from the respective human research ethics committees of the All India Institute of Medical Sciences, New Delhi, India; University of Sydney, New South Wales, Australia; and site-specific approval at each local site in the three countries: India, Bangladesh and Sri Lanka. This includes approvals from the Institutional Ethics Committee at King Edwards Memorial Hospital, Maharaja Agrasen Hospital, Centre for Disease Control New Delhi, Goa Medical College, Jawaharlal Institute of Postgraduate Medical Education and Research, Madras Diabetes Research Foundation, Christian Medical College Vellore, Fernandez Hospital Foundation, Castle Street Hospital for Women, University of Kelaniya, Topiwala National Medical College and BYL Nair Charitable Hospital, Birdem General Hospital and the International Centre for Diarrhoeal Disease Research. Findings will be documented in academic publications, presentations at scientific meetings and stakeholder workshops. TRIAL REGISTRATION NUMBERS Clinical Trials Registry of India (CTRI/2017/06/008744); Sri Lanka Clinical Trials Registry (SLCTR/2017/001) and ClinicalTrials.gov Registry (NCT03305939); Pre-results.
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Affiliation(s)
- Janani Shanthosh
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Deksha Kapoor
- Department of Endocrinology, All India Institute of Medical Sciences, New Delhi, India
| | - Lakshmi K Josyula
- Division of Epidemiology, The George Institute for Global Health, Hyderabad, India
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Prasanna School of Public Health, MAHE, Manipal, India
| | - Anushka Patel
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Yashdeep Gupta
- Department of Endocrinology, All India Institute of Medical Sciences, New Delhi, India
| | - Nikhil Tandon
- Department of Endocrinology, All India Institute of Medical Sciences, New Delhi, India
| | - Stephen Jan
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Helena J Teede
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, Victoria, Australia
| | - Ankush Desai
- Endocrine Unit, Department of Medicine, Goa Medical College, Goa, India
| | - Rohina Joshi
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Devarsetty Praveen
- Division of Epidemiology, The George Institute for Global Health, Hyderabad, India
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Prasanna School of Public Health, MAHE, Manipal, India
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Ranjit N, Nielsen A, Akhavan N, Denis L, Janda K, Jovanovic C, Basu S, Hussaini A, van den Berg A. Outcomes of a Community-Wide Health Intervention in a Low-Income, Primarily Hispanic Community: The Go! Austin/Vamos! Austin (GAVA) Initiative. Health Promot Pract 2020; 23:185-194. [PMID: 33034208 DOI: 10.1177/1524839920961365] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES To describe outcomes of a 4-year physical activity (PA) and nutrition intervention (2013-2017) in Dove Springs, a low-income urban community in Texas. METHOD Go! Austin/Vamos! Austin is a place-based intervention targeting the built and social environments of PA and nutrition. Baseline and follow-up measures related to PA and nutrition were obtained from 357 parent-child dyads (final n = 236) in the intervention community and a control community. A three-level dose of exposure measure was created to indicate the amount of exposure to intervention activities across the 4 years. Pre-post changes in key outcomes by level of exposure and contrasts across "high exposure" and "no exposure" categories were obtained using repeated-measures regression, adjusting for important confounders. RESULTS "High exposure" adult participants showed consistently more favorable changes than "no exposure" participants across a variety of indicators, including positive perceptions and utilization of community PA resources, amount of moderate PA, utilization of retail outlets offering fresh produce, and measures of healthy eating. Few improvements were seen in child-level outcomes. CONCLUSIONS Community interventions can successfully improve health-promoting behaviors provided they ensure sufficient dose of exposure.
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Affiliation(s)
- Nalini Ranjit
- University of Texas School of Public Health in Austin, Austin, TX, USA
| | - Aida Nielsen
- University of Texas School of Public Health in Austin, Austin, TX, USA
| | - Nika Akhavan
- University of Texas School of Public Health in Austin, Austin, TX, USA
| | - Laurence Denis
- University of Texas School of Public Health in Austin, Austin, TX, USA
| | - Kathryn Janda
- University of Texas School of Public Health in Austin, Austin, TX, USA
| | | | - Semonti Basu
- Michael & Susan Dell Foundation, Austin, TX, USA
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Frey AJ, Kuklinski MR, Bills K, Small JW, Forness SR, Walker HM, Feil EG, Seeley JR. Comprehensive Cost Analysis of First Step Next for Preschoolers with Disruptive Behavior Disorder: Using Real-World Intervention Data to Estimate Costs at Scale. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2019; 20:1219-1232. [PMID: 31313053 DOI: 10.1007/s11121-019-01035-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
While the long-term societal costs for youth with disruptive behavior disorders are well documented, there is a dearth of information about the comprehensive costs of implementing even the most well-regarded early intervention programs, and the costs of scaling effective interventions are even less well understood. This study estimated the costs of delivering and disseminating First Step Next (FSN), an established tier two school-based early intervention, in preschool and kindergarten settings, including the training and ongoing technical assistance that support sustained, high-quality implementation. Using the Ingredients Method, we estimated (a) the per student costs of implementation, (b) the incremental cost of offering FSN to an additional student, and (c) the cost to disseminate FSN to 40 preschool and kindergarten students, including a sensitivity analysis to examine potential areas of cost savings. The per child cost to implement the FSN intervention with 29 triads in two cohorts was $4330. The incremental cost per additional student was only $2970, highlighting efficiencies gained once intervention infrastructure had been established. The cost of disseminating the intervention to a single cohort of 40 students was $170,106, or $4253 per student. The range in sensitivity analysis was $3141-$7829 per student, with variability in personnel wages having the greatest impact on cost estimates. This research expands on existing literature by providing a more comprehensive understanding of the cost of effective disruptive behavior interventions based on real-world implementation data, using these data to estimate dissemination costs, and showing how dissemination costs are particularly sensitive to personnel wages.
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Affiliation(s)
- Andy J Frey
- Kent School of Social Work, University of Louisville, Patterson Hall, Louisville, KY, 40292, USA.
| | - Margaret R Kuklinski
- Social Development Research Group, School of Social Work, University of Washington, Box #358734, 9725 Third Ave. NE, Suite 401, Seattle, WA, 981115, USA
| | - Kiersten Bills
- Kent School of Social Work, University of Louisville, Patterson Hall, Louisville, KY, 40292, USA
| | - Jason W Small
- Oregon Research Institute, 1715 Franklin Blvd, Eugene, OR, 97403-1983, USA
| | - Steven R Forness
- University of California, 11901 Sunset Blvd., Apt. #216, Los Angeles, CA, 90049, USA
| | - Hill M Walker
- Oregon Research Institute, 1715 Franklin Blvd, Eugene, OR, 97403-1983, USA.,College of Education, University of Oregon, Eugene, OR, 97403, USA
| | - Edward G Feil
- Oregon Research Institute, 1715 Franklin Blvd, Eugene, OR, 97403-1983, USA
| | - John R Seeley
- Oregon Research Institute, 1715 Franklin Blvd, Eugene, OR, 97403-1983, USA.,College of Education, University of Oregon, Eugene, OR, 97403, USA
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Abstract
Mixed methods research-i.e., research that draws on both qualitative and quantitative methods in varying configurations-is well suited to address the increasing complexity of public health problems and their solutions. This review focuses specifically on innovations in mixed methods evaluations of intervention, program or policy (i.e., practice) effectiveness, and implementation. The article begins with an overview of the structure, function, and process of different mixed methods designs and then provides illustrations of their use in effectiveness studies, implementation studies, and combined effectiveness-implementation hybrid studies. The article then examines four specific innovations: procedures for transforming (or "quantitizing") qualitative data, application of rapid assessment and analysis procedures in the context of mixed methods studies, development of measures to assess implementation outcomes, and strategies for conducting both random and purposive sampling, particularly in implementation-focused evaluation research. The article concludes with an assessment of challenges to integrating qualitative and quantitative data in evaluation research.
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Affiliation(s)
- Lawrence A Palinkas
- Department of Children, Youth and Families, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California 90089, USA; ,
| | - Sapna J Mendon
- Department of Children, Youth and Families, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California 90089, USA; ,
| | - Alison B Hamilton
- UCLA Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 90024-1759, USA; .,VA Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California 90073, USA
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Community readiness assessment for obesity research: pilot implementation of the Healthier Families programme. Health Res Policy Syst 2018; 16:2. [PMID: 29334972 PMCID: PMC5769556 DOI: 10.1186/s12961-017-0262-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 10/26/2017] [Indexed: 02/01/2023] Open
Abstract
Background This article reports on the development of a systematic approach to assess for community readiness prior to implementation of a behavioural intervention for childhood obesity. Using the Consolidated Framework for Implementation Research (CFIR), we developed research tools to evaluate local community centres’ organisational readiness and their capacity to implement the intervention. Methods Four community Parks and Recreation centres from different states expressed interest in piloting an approach for dissemination and implementation of an evidence-based obesity prevention program for families with young children (Healthier Families). We conducted a mixed methods pre-implementation evaluation using the CFIR to evaluate the alignment of organisational priorities with the Healthier Families programme. Written surveys assessed organisational readiness for change amongst organisational leaders, recreation programmers, and staff (N = 25). Key informant interviews were conducted among staff to assess organisational readiness and with community members to assess community readiness (N = 64). Surveys were analysed with univariate statistics. Interviews were transcribed, coded and analysed using inductive and deductive methods of analysis. Results Mixed-methods analysis led to the identification of three key domains on which to assess the organisational readiness to adopt a childhood obesity intervention, namely the physical infrastructure, the knowledge infrastructure, and the social infrastructure. The most critical measure of compatibility was the social infrastructure, since obstacles in the knowledge and physical infrastructures could be overcome by the strength of social resources, including the staff’s ingenuity and commitment to a healthier community. This approach guided an assessment of organisational readiness prior to community organisations adopting and preparing to disseminate an obesity prevention community-based program in a wide-range of social and environmental contexts. Conclusions Using a comprehensive pre-implementation assessment of the knowledge, physical and social infrastructures in a community is an essential step in effective dissemination for community-based behavioural interventions. Our research found that, when evaluating readiness and alignment, a responsive social infrastructure could provide the capacity to overcome potential barriers to implementation in either the knowledge or physical infrastructures. Electronic supplementary material The online version of this article (doi:10.1186/s12961-017-0262-0) contains supplementary material, which is available to authorized users.
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