A mixed methods protocol for developing and testing implementation strategies for evidence-based obesity prevention in childcare: a cluster randomized hybrid type III trial

Taren Swindle, Susan L Johnson, Leanne Whiteside-Mansell, Geoffrey M Curran, Taren Swindle, Susan L Johnson, Leanne Whiteside-Mansell, Geoffrey M Curran

Abstract

Background: Despite the potential to reach at-risk children in childcare, there is a significant gap between current practices and evidence-based obesity prevention in this setting. There are few investigations of the impact of implementation strategies on the uptake of evidence-based practices (EBPs) for obesity prevention and nutrition promotion. This study protocol describes a three-phase approach to developing and testing implementation strategies to support uptake of EBPs for obesity prevention practices in childcare (i.e., key components of the WISE intervention).

Methods: Informed by the i-PARIHS framework, we will use a stakeholder-driven evidence-based quality improvement (EBQI) process to apply information gathered in qualitative interviews on barriers and facilitators to practice to inform the design of implementation strategies. Then, a Hybrid Type III cluster randomized trial will compare a basic implementation strategy (i.e., intervention as usual) with an enhanced implementation strategy informed by stakeholders. All Head Start centers (N = 12) within one agency in an urban area in a southern state in the USA will be randomized to receive the basic or enhanced implementation with approximately 20 classrooms per group (40 educators, 400 children per group). The educators involved in the study, the data collectors, and the biostastician will be blinded to the study condition. The basic and enhanced implementation strategies will be compared on outcomes specified by the RE-AIM model (e.g., Reach to families, Effectiveness of impact on child diet and health indicators, Adoption commitment of agency, Implementation fidelity and acceptability, and Maintenance after 6 months). Principles of formative evaluation will be used throughout the hybrid trial.

Discussion: This study will test a stakeholder-driven approach to improve implementation, fidelity, and maintenance of EBPs for obesity prevention in childcare. Further, this study provides an example of a systematic process to develop and test a tailored, enhanced implementation strategy.

Trial registration: ClinicalTrials.gov, NCT03075085.

Keywords: Childcare; Implementation science; Implementation strategies; Obesity prevention.

Conflict of interest statement

Ethics approval and consent to participate

This protocol was approved by the UAMS Institutional Review Board (IRB 205335). This study will be conducted in accordance with all applicable government regulations and University of Arkansas for Medical Sciences research policies and procedures. Consent was waived by the IRB for EBQI stakeholders but will be collected for teachers and parents participating in the Hybrid III Trial using IRB-approved forms.

Waivers of informed consent and Health Insurance Portability and Accountability Act of 1996 authorization were approved for this project as this research involves no more than minimal risk to the subjects; waivers will not adversely affect the rights and welfare of the subjects; and the research could not practicably be carried out with the waiver.

Consent for publication

Not applicable.

Competing interests

Dr. Leanne Whiteside-Mansell, Dr. Taren Swindle, and UAMS have a financial interest in the technology (WISE) discussed in this presentation/publication. These financial interests have been reviewed and approved in accordance with the UAMS conflict of interest policies. The other authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

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Fig. 1
Research aims and design

References

    1. Juonala M, Magnussen CG, Berenson GS, Venn A, Burns TL, Sabin MA, et al. Childhood adiposity, adult adiposity, and cardiovascular risk factors. N Engl J Med. 2011;365:1876–1885. doi: 10.1056/NEJMoa1010112.
    1. Pulgarón ER. Childhood obesity: a review of increased risk for physical and psychological comorbidities. Clin Ther. 2013;35:A18–A32. doi: 10.1016/j.clinthera.2012.12.014.
    1. Kalarchian MA, Marcus MD. Psychiatric comorbidity of childhood obesity. Int Rev Psychiatry. 2012;24:241–246. doi: 10.3109/09540261.2012.678818.
    1. Gross R, Mendelsohn A, Fierman A, Hauser N, Messito M. Maternal infant feeding behaviors and disparities in early child obesity. Child Obes. 2014;10:145–152. doi: 10.1089/chi.2013.0140.
    1. Laughlin L. Who’s minding the kids? Child care arrangements. 2013.
    1. Frisvold D, Lumeng J. Expanding exposure: can increasing the daily duration of head start reduce childhood obesity? J Hum Resour. 2011;46:373–402.
    1. Sisson SB, Krampe M, Anundson K, Castle S. Obesity prevention and obesogenic behavior interventions in child care: a systematic review. Prev Med (Baltim) 2016;87:57–69. doi: 10.1016/j.ypmed.2016.02.016.
    1. Ward S, Bélanger M, Donovan D, Carrier N. Systematic review of the relationship between childcare educators’ practices and preschoolers’ physical activity and eating behaviours. Obes Rev. 2015;16:1055–1070. doi: 10.1111/obr.12315.
    1. Faith M, Pietrobelli A, Heo M, Johnson S, Keller K, Heymsfield S, et al. A twin study of self-regulatory eating in early childhood: estimates of genetic and environmental influence, and measurement considerations. Int J Obes. 2012;36:931–937. doi: 10.1038/ijo.2011.258.
    1. Mennella JA. Ontogeny of taste preferences: basic biology and implications for health. Am J Clin Nutr. 2014;99:704S–711S. doi: 10.3945/ajcn.113.067694.
    1. Larson N, Ward DS, Neelon SB, Story M. What role can child-care settings play in obesity prevention? A review of the evidence and call for research efforts. J Am Diet Assoc. 2011;111:1343–1362. doi: 10.1016/j.jada.2011.06.007.
    1. Sigman-Grant M, Christiansen E, Fernandez G, Fletcher J, Johnson S, Branen L, et al. Child care provider training and a supportive feeding environment in child care settings in 4 states, 2003. Prev Chronic Dis. 2011;8:A113.
    1. Benjamin SE, Cradock A, Walker EM, Slining M, Gillman MW. Obesity prevention in child care: A review of U.S. state regulations. BMC Public Health 2008;8:188. doi:10.1186/1471-2458-8-188.
    1. Dev DA, Speirs KE, McBride BA, Donovan SM, Chapman-Novakofski K. Head start and child care providers’ motivators, barriers and facilitators to practicing family-style meal service. Early Child Res Q. 2014;29:649–659. doi: 10.1016/j.ecresq.2014.07.004.
    1. Freedman MR, Alvarez KP. Early childhood feeding: assessing knowledge, attitude, and practices of multi-ethnic child-care providers. J Am Diet Assoc. 2010;110:447–451. doi: 10.1016/j.jada.2009.11.018.
    1. Rabin B, Glasgow R, Kerner J, Klump M, Brownson R. Dissemination and implementation research on community-based cancer prevention: a systematic review. Am J Prev Med. 2010;38:443–456. doi: 10.1016/j.amepre.2009.12.035.
    1. Bell A, Davies L, Finch M, Wolfenden L, Francis J, Sutherland R, et al. An implementation intervention to encourage healthy eating in centre-based child-care services: impact of the Good for Kids Good for Life programme. Public Health Nutr. 2015;18:1610–1619. doi: 10.1017/S1368980013003364.
    1. Jones J, Wolfenden L, Wyse R, Finch M, Yoong S, Dodds P, et al. A randomised controlled trial of an intervention to facilitate the implementation of healthy eating and physical activity policies and practices in childcare services. BMJ Open. 2014;4:e005312. doi: 10.1136/bmjopen-2014-005312.
    1. Jones J, Wyse R, Finch M, Lecathelinais C, Wiggers J, Marshall J, et al. Effectiveness of an intervention to facilitate the implementation of healthy eating and physical activity policies and practices in childcare services: a randomised controlled trial. Implement Sci. 2015;10:147. doi: 10.1186/s13012-015-0340-z.
    1. Yoong SL, Jones J, Marshall J, Wiggers J, Seward K, Finch M, et al. A theory-based evaluation of a dissemination intervention to improve childcare cooks’ intentions to implement nutritional guidelines on their menus. Implement Sci. 2016;11:105. doi: 10.1186/s13012-016-0474-7.
    1. Swindle T, Whiteside-Mansell L. Structured Food Experiences: A Preliminary Evaluation of the WISE Curriculum. J Nutr Educ … 2014.
    1. Block G, Subar A. Estimates of nutrient intake from a food frequency questionnaire: the 1987 National Health Interview Survey. J Am Diet Assoc. 1992;92:969–977.
    1. Curran G, Mukherjee S, Allee E, Owen R. A process for developing an implementation intervention: QUERI series. Implement Sci. 2008;3:17. doi: 10.1186/1748-5908-3-17.
    1. Curran G, Bauer M, Mittman B, Pyne J, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50:217–226. doi: 10.1097/MLR.0b013e3182408812.
    1. Harvey G, Kitson A. Implementing evidence-based practice in healthcare: a facilitation guide. Abingdon, Oxon: Routledge; 2015.
    1. Creswell JW, Klassen AC, VLP C, Smith KC. Best practices for mixed methods research in the health sciences. 2011.
    1. Marra A, Guastelli L, Araújo C de. Positive deviance: a program for sustained improvement in hand hygiene compliance. Am J. 2011;39(1):1-5.
    1. Gabbay R, Friedberg M. Miller-Day M. Ann Fam: A positive deviance approach to understanding key features to improving diabetes care in the medical home; 2013.
    1. Rose A, Petrakis B. Callahan P. Heal Serv: Organizational Characteristics of High-and Low-Performing Anticoagulation Clinics in the Veterans Health Administration; 2012.
    1. Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15:1277–1288. doi: 10.1177/1049732305276687.
    1. Curry L, Nembhared I, Bradley E. Qualitative and mixed methods provide unique contributions to outcomes research. Circulation. 2009;119(10):1442-52.
    1. Powell B, Waltz T, Chinman M, Damschroder L, Smith J, Matthieu M, et al. A refined compilation of implementation strategies: results from the expert recommendations for implementing change (ERIC) project. Implement Sci. 2015;10:21. doi: 10.1186/s13012-015-0209-1.
    1. Waltz T, Powell B, Matthieu M, Damschroder L, Chinman M, Smith J, et al. Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: results from the expert recommendations for implementing change (ERIC) study. Implement Sci. 2015;10:109. doi: 10.1186/s13012-015-0295-0.
    1. Sobo E, Simmes D, Landsverk J, Kurtin P. Rapid assessment with qualitative telephone interviews: lessons from an evaluation of California’s healthy families program & Medi-cal for children. Am J Eval. 2003;24:399–408.
    1. Stetler CB, Legro MW, Wallace CM, Bowman C, Guihan M, Hagedorn H, et al. The role of formative evaluation in implementation research and the QUERI experience. J Gen Intern Med. 2006;21(Suppl 2):S1–S8. doi: 10.1007/s11606-006-0267-9.
    1. Stetler CB, Damschroder LJ, Helfrich CD, Hagedorn HJ. A guide for applying a revised version of the PARIHS framework for implementation. Implement Sci. 2011;6:99. doi: 10.1186/1748-5908-6-99.
    1. Gaglio B, Shoup J. The RE-AIM framework: a systematic review of use over time. Am J. 2013;
    1. Helfrich C, Li Y, Sharp N, Sales A. Organizational readiness to change assessment (ORCA): development of an instrument based on the promoting action on research in health services (PARIHS) framework. Implement Sci. 2009;4:38. doi: 10.1186/1748-5908-4-38.
    1. Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Heal Ment Heal Serv Res. 2011;38:65–76. doi: 10.1007/s10488-010-0319-7.
    1. Whiteside-Mansell L, Bradley R, Conners N, Bokony P. The family map: structured family interview to identify risks and strengths in head start families. NHSA Dialog. 2007;10:189–209. doi: 10.1080/15240750701742239.
    1. Freedman LS, Commins JM, Moler JE, Willett W, Tinker LF, Subar AF, et al. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake. Am J Epidemiol. 2015;181:473–487. doi: 10.1093/aje/kwu325.
    1. Byers T, Treiber F, Gunter E, Coates R, Sowell A, Leonard S, Strong W. The accuracy of parental reports of their children's intake of fruits and vegetables: validation of a food frequency questionnaire with serum levels of carotenoids and vitamins C, A, and E. Epidemiology. 1993; 350-355.
    1. Ermakov IV, Gellermann W. Dermal carotenoid measurements via pressure mediated reflection spectroscopy. J Biophotonics. 2012;5:559–570. doi: 10.1002/jbio.201100122.
    1. Scarmo S, Henebery K, Peracchio H, Cartmel B, Lin H, Ermakov I, et al. Skin carotenoid status measured by resonance Raman spectroscopy as a biomarker of fruit and vegetable intake in preschool children. Eur J Clin Nutr. 2012;66:555–560. doi: 10.1038/ejcn.2012.31.
    1. Khoo H, Prasad K, Kong K, Jiang Y, Ismail A. Carotenoids and their isomers: color pigments in fruits and vegetables. Molecules. 2011;16:1710–1738. doi: 10.3390/molecules16021710.
    1. Darvin M, Sterry W, Lademann J, Vergou T. The role of carotenoids in human skin. Molecules. 2011;16:1710–1738. doi: 10.3390/molecules161210491.
    1. Darvin M, Fluhr J, Caspers P, Pool A, Richter H, Patzelt A, et al. In vivo distribution of carotenoids in different anatomical locations of human skin: comparative assessment with two different Raman spectroscopy methods. Exp Dermatol. 2009;18:1060–1063. doi: 10.1111/j.1600-0625.2009.00946.x.
    1. Darvin ME, Gersonde I, Meinke M, Sterry W, Lademann J. Non-invasive in vivo determination of the carotenoids beta-carotene and lycopene concentrations in the human skin using the Raman spectroscopic method. J Phys D Appl Phys. 2005;38:2696–2700. doi: 10.1088/0022-3727/38/15/023.
    1. Blume-Peytavi U, Rolland A, Darvin ME, Constable A, Pineau I, Voit C, et al. Cutaneous lycopene and β-carotene levels measured by resonance Raman spectroscopy: high reliability and sensitivity to oral lactolycopene deprivation and supplementation. Eur J Pharm Biopharm. 2009;73:187–194. doi: 10.1016/j.ejpb.2009.04.017.
    1. Meinke M, Darvin M, Vollert H, Lademann. Bioavailability of natural carotenoids in human skin compared to blood. Eur J Pharm Biopharm 2010;76:269–274.
    1. Proctor E, Powell B, Baumann A, Hamilton A, Santens R. Writing implementation research grant proposals: ten key ingredients. Implement Sci. 2012;7:96. doi: 10.1186/1748-5908-7-96.
    1. Curran GM, Pyne J, Fortney JC, Gifford A, Asch SM, Rimland D, et al. Development and implementation of collaborative care for depression in HIV clinics. AIDS Care. 2011;23:1626–1636. doi: 10.1080/09540121.2011.579943.
    1. Aware CC. Child care in America: 2012 State Fact Sheets 2012. .
    1. Johnson SL, Bellows L, Beckstrom L, Anderson J. Evaluation of a social marketing campaign targeting preschool children. Am J Health Behav. 2007;31(1):44–55. doi: 10.5993/AJHB.31.1.5.
    1. Galloway AT, Fiorito LM, Francis LA, Birch LL. ‘Finish your soup’: counterproductive effects of pressuring children to eat on intake and affect. Appetite. 2006;46(3):318–323. doi: 10.1016/j.appet.2006.01.019.
    1. Johnson SL, Birch LL. Parents’ and children’s adiposity and eating style. Pediatrics. 1994;94(5):653–61.
    1. Mustonen S, Rantanen R, Tuorila H. Effect of sensory education on school children’s food perception: a 2-year follow-up study. Food Qual Prefer. 2009;20(3):230–240. doi: 10.1016/j.foodqual.2008.10.003.
    1. Reverdy C, Chesnel F, Schlich P, Köster EP, Lange C. Effect of sensory education on willingness to taste novel food in children. Appetite. 2008;51(1):156–165. doi: 10.1016/j.appet.2008.01.010.
    1. Birch LL, McPheee L, Shoba BC, Steinberg L, Krehbiel R. “Clean up your plate”: effects of child feeding practices on the conditioning of meal size. Learn Motiv. 1987;18(3):301–317. doi: 10.1016/0023-9690(87)90017-8.
    1. Neelon SEB, Briley ME. Position of the American dietetic association: benchmarks for nutrition in child care. J Am Diet Assoc. 2011;111(4):607–615. doi: 10.1016/j.jada.2011.02.016.
    1. Office of Head Start. Head start performance standards 45 CFR 1301–1311. . Accessed June 15, 2015.
    1. Gibson EL, Kreichauf S, Wildgruber A, et al. A narrative review of psychological and educational strategies applied to young children's eating behaviours aimed at reducing obesity risk. Obes Rev. 2012;13(s1):85–95. doi: 10.1111/j.1467-789X.2011.00939.x.
    1. Greenhalgh J, Dowey AJ, Horne PJ, Lowe CF, Griffiths JH, Whitaker CJ. Positive-and negative peer modelling effects on young children's consumption of novel blue foods. Appetite. 2009;52(3):646–653. doi: 10.1016/j.appet.2009.02.016.
    1. Hendy HM, Raudenbush B. Effectiveness of teacher modeling to encourage food acceptance in preschool children. Appetite. 2000;34(1):61–76. doi: 10.1006/appe.1999.0286.
    1. Anzman-Frasca S, Savage JS, Marini ME, Fisher JO, Birch LL. Repeated exposure and associative conditioning promote preschool children’s liking of vegetables. Appetite. 2012;58(2):543–553. doi: 10.1016/j.appet.2011.11.012.
    1. Dazeley P, Houston-Price C. Exposure to foods’ non-taste sensory properties. A nursery intervention to increase children's willingness to try fruit and vegetables. Appetite. 2015;84:1–6. doi: 10.1016/j.appet.2014.08.040.
    1. Knai C, Pomerleau J, Lock K, McKee M. Getting children to eat more fruit and vegetables: a systematic review. Prev Med. 2006;42(2):85–95. doi: 10.1016/j.ypmed.2005.11.012.
    1. Wardle J, Cooke LJ, Gibson EL, Sapochnik M, Sheiham A, Lawson M. Increasing children's acceptance of vegetables; a randomized trial of parent-led exposure. Appetite. 2003;40(2):155–162. doi: 10.1016/S0195-6663(02)00135-6.
    1. Wardle J, Herrera ML, Cooke L, Gibson EL. Modifying children's food preferences: the effects of exposure and reward on acceptance of an unfamiliar vegetable. Eur J Clin Nutr. 2003;57(2):341–348. doi: 10.1038/sj.ejcn.1601541.
    1. Schindler JM, Corbett D, Forestell CA. Assessing the effect of food exposure on children's identification and acceptance of fruit and vegetables. Eating Behav. 2013;14(1):53–56. doi: 10.1016/j.eatbeh.2012.10.013.
    1. Borzekowski DL, Robinson TN. The 30-second effect: an experiment revealing the impact of television commercials on food preferences of preschoolers. J Am Diet Assoc. 2001;101(1):42–46. doi: 10.1016/S0002-8223(01)00012-8.
    1. Boyland EJ, Harrold JA, Kirkham TC, Halford JC. Persuasive techniques used in television advertisements to market foods to UK children. Appetite. 2012;58(2):658–664. doi: 10.1016/j.appet.2011.11.017.
    1. Kraak VI, Story M. Influence of food companies’ brand mascots and entertainment companies’ cartoon media characters on children’s diet and health: a systematic review and research needs. Obes Rev. 2015;16(2):107–126. doi: 10.1111/obr.12237.
    1. Keller KL, Kuilema LG, Lee N, et al. The impact of food branding on children's eating behavior and obesity. Physiol Behav. 2012;106(3):379–386. doi: 10.1016/j.physbeh.2012.03.011.
    1. Roberto CA, Baik J, Harris JL, Brownell KD. Influence of licensed characters on children’s taste and snack preferences. Pediatrics. 2010;126(1):88–93. doi: 10.1542/peds.2009-3433.
    1. Weber K, Story M, Harnack L. Internet food marketing strategies aimed at children and adolescents: a content analysis of food and beverage brand web sites. J Am Diet Assoc. 2006;106(9):1463–1466. doi: 10.1016/j.jada.2006.06.014.

Source: PubMed

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