The impact of basic vs. enhanced Go NAPSACC on child care centers' healthy eating and physical activity practices: protocol for a type 3 hybrid effectiveness-implementation cluster-randomized trial

Amber E Vaughn, Christina R Studts, Byron J Powell, Alice S Ammerman, Justin G Trogdon, Geoffrey M Curran, Derek Hales, Erik Willis, Dianne S Ward, Amber E Vaughn, Christina R Studts, Byron J Powell, Alice S Ammerman, Justin G Trogdon, Geoffrey M Curran, Derek Hales, Erik Willis, Dianne S Ward

Abstract

Background: To prevent childhood obesity and promote healthy development, health authorities recommend that child care programs use the evidence-based practices that foster healthy eating and physical habits in children. Go NAPSACC is an intervention shown to improve use of these recommended practices, but it is known to encounter barriers that limit its impact and widespread use.

Methods: This study will use a type 3 hybrid effectiveness-implementation cluster-randomized trial to compare effectiveness and implementation outcomes achieved from Go NAPSACC delivered with a basic or enhanced implementation approach. Participants will include approximately 25 coaches from Child Care Aware of Kentucky (serving four geographic regions), 97 child care centers with a director and teacher from each and two cross-sectional samples of 485 3-4-year-old children (one recruitment at baseline, another at follow-up). Coaches will be randomly assigned to deliver Go NAPSACC using either the basic or enhanced implementation approach. "Basic Go NAPSACC" represents the traditional way of delivering Go NAPSACC. "Enhanced Go NAPSACC" incorporates preparatory and support activities before and during their Go NAPSACC work, which are guided by the Quality Implementation Framework and the Consolidated Framework for Implementation Research. Data will be collected primarily at baseline and post-intervention, with select measures continuing through 6, 12, and 24 months post-intervention. Guided largely by RE-AIM, outcomes will assess change in centers' use of evidence-based nutrition and physical activity practices (primary, measured via observation); centers' adoption, implementation, and maintenance of the Go NAPSACC program (assessed via website use); center directors', teachers', and coaches' perceptions of contextual factors (assessed via self-report surveys); children's eating and physical activity behaviors at child care (measured via observation and accelerometers); and cost-effectiveness (assessed via logs and expense tracking). The hypotheses anticipate that "Enhanced Go NAPSACC" will have greater effects than "Basic Go NAPSACC."

Discussion: This study incorporates many lessons gleaned from the growing implementation science field, but also offers opportunities to address the field's research priorities, including applying a systematic method to tailor implementation strategies, examining the processes and mechanisms through which implementation strategies produce their effects, and conducting an economic evaluation of implementation strategies.

Trial registration: ClinicalTrials.gov, NCT03938103, Registered April 8, 2019.

Keywords: Children; Implementation approach; Obesity prevention.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Study timeline
Fig. 2
Fig. 2
The integration and impact of Go NAPSACC into the multi-level child care system

References

    1. National Center for Education Statistics. Percentage of 3-, 4-, and 5-year-old children enrolled in preprimary programs, by level of program, attendance status, and selected child and family characteristics: 2016. 2017 . Accessed 8 May 2019.
    1. Bos JM, Phillips-Fain G, Rein E, Weinberg E, Chavez S. Connecting all children to high-quality early care and education: promising strategies from the international community. Washington, DC: American Institutes for Research; 2016.
    1. Summerbell CD, Moore HJ, Vogele C, Kreichauf S, Wildgruber A, Manios Y, et al. Evidence-based recommendations for the development of obesity prevention programs targeted at preschool children. Obes Rev. 2012;13(Suppl 1):129–132. doi: 10.1111/j.1467-789X.2011.00940.x.
    1. World Health Organization. Report of the commission on ending childhood obesity. Geneva, Switzerland 2016.
    1. Institute of Medicine . Early childhood obesity prevention policies. Washington, DC: The National Academies Press; 2011.
    1. American Academy of Pediatrics, American Public Health Association, National Resource Center for Health, Safety in Child Care and Early Education. Caring for our children: national health and safty performance standards; Guidelines for early care and education programs. 3rd ed: Elk Grove Village, IL: American Academy of Pediatrics; Washington, DC: American Public Health Association; 2011.
    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. Benjamin SE, Taveras EM, Cradock AL, Walker EM, Slining MM, Gillman MW. State and regional variation in regulations related to feeding infants in child care. Pediatrics. 2009;124(1):e104–e111. doi: 10.1542/peds.2008-3668.
    1. Liu ST, Graffagino CL, Leser KA, Trombetta AL, Pirie PL. Obesity prevention practices and policies in child care settings enrolled and not enrolled in the Child and Adult Care Food Program. Maternal and child health journal. 2016;20(9):1933–1939. doi: 10.1007/s10995-016-2007-z.
    1. Nanney MS, LaRowe TL, Davey C, Frost N, Arcan C, O’Meara J. Obesity prevention in early child care settings: a bistate (Minnesota and Wisconsin) assessment of best practices, implementation difficulty, and barriers. Health Educ Behav. 2016. 10.1177/1090198116643912.
    1. Tandon PS, Walters KM, Igoe BM, Payne EC, Johnson DB. Physical activity practices, policies and environments in Washington State child care settings: results of a statewide survey. Maternal and child health journal. 2017;21(3):571–582. doi: 10.1007/s10995-016-2141-7.
    1. Nanney MS, LaRowe TL, Davey C, Frost N, Arcan C, O'Meara J. Obesity prevention in early child care settings: a bistate (Minnesota and Wisconsin) assessment of best practices, implementation difficulty, and barriers. Health Educ Behav. 2017;44(1). 10.1177/1090198116643912.
    1. Alberdi G, McNamara AE, Lindsay KL, Scully HA, Horan MH, Gibney ER, et al. The association between childcare and risk of childhood overweight and obesity in children aged 5 years and under: a systematic review. Eur J Pediatr. 2016;175(10):1277–1294. doi: 10.1007/s00431-016-2768-9.
    1. Wolfenden L, Jones J, Williams CM, Finch M, Wyse RJ, Kingsland M, et al. Strategies to improve the implementation of healthy eating, physical activity and obesity prevention policies, practices or programmes within childcare services. Cochrane Database Syst Rev. 2016;10:CD011779. doi: 10.1002/14651858.CD011779.pub2.
    1. Martinez-Beck I. Where is the new frontier of implementation science in early care and education research and practice? In: Halle T, Metz A, Martinez-Beck I, editors. Applying Implementation Science in Early Childhood Programs and Systems. Baltimore, MD: Paul H. Brooks Publishing Co.; 2013. p. xix-xxx.
    1. NAPSACC. Our History. Chapel Hill, NC. . Accessed 9 Aug 2019.
    1. Ammerman AS, Ward DS, Benjamin SE, Ball SC, Sommers JK, Molloy M, et al. An intervention to promote healthy weight: Nutrition and Physical Activity Self-Assessment for Child Care (NAP SACC) theory and design. Prev Chronic Dis. 2007;4(3):A67.
    1. Ward DS, Benjamin SE, Ammerman AS, Ball SC, Neelon BH, Bangdiwala SI. Nutrition and physical activity in child care: results from an environmental intervention. Am J Prev Med. 2008;35(4):352–356. doi: 10.1016/j.amepre.2008.06.030.
    1. Benjamin SE, Ammerman A, Sommers J, Dodds J, Neelon B, Ward DS. Nutrition and physical activity self-assessment for child care (NAP SACC): results from a pilot intervention. J Nutr Educ Behav. 2007;39(3):142–149. doi: 10.1016/j.jneb.2006.08.027.
    1. Drummond RL, Staten LK, Sanford MR, Davidson CL, Magda Ciocazan M, Khor KN, et al. A pebble in the pond: the ripple effect of an obesity prevention intervention targeting the child care environment. Health Promot Pract. 2009;10(2 Suppl):156S–167S. doi: 10.1177/1524839908331267.
    1. Alkon A, Crowley AA, Neelon SE, Hill S, Pan Y, Nguyen V, et al. Nutrition and physical activity randomized control trial in child care centers improves knowledge, policies, and children's body mass index. BMC Public Health. 2014;14:215. doi: 10.1186/1471-2458-14-215.
    1. Battista RA, Oakley H, Weddell MS, Mudd LM, Greene JB, West ST. Improving the physical activity and nutrition environment through self-assessment (NAP SACC) in rural area child care centers in North Carolina. Prev Med. 2014;67(Suppl 1):S10–S16. doi: 10.1016/j.ypmed.2014.01.022.
    1. Martin SL, Martin MW, Cook B, Knaus R, O'Rourke K. Notes from the field: the evaluation of Maine Nutrition and Physical Activity Self-Assessment for Child Care (NAPSACC) experience. Eval Health Prof. 2015;38(1):140–145. doi: 10.1177/0163278714536032.
    1. Ward DS, Vaughn AE, Mazzucca S, Burney R. Translating a child care based intervention for online delivery: development and randomized pilot study of Go NAPSACC. BMC Public Health. 2017;17(1):891. doi: 10.1186/s12889-017-4898-z.
    1. Dinkel D, Dev D, Guo Y, Hulse E, Rida Z, Sedani A, et al. Improving the physical activity and outdoor play environment of family child care homes in Nebraska through go nutrition and physical activity self-assessment for child care. J Phys Activity Health. 2018;15(10):730–736. doi: 10.1123/jpah.2017-0411.
    1. Tabak RG, Khoong EC, Chambers DA, Brownson RC. Bridging research and practice: models for dissemination and implementation research. Am J Prev Med. 2012;43(3):337–350. doi: 10.1016/j.amepre.2012.05.024.
    1. Powell BJ, Waltz TJ, Chinman MJ, Damschroder LJ, Smith JL, Matthieu MM, 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. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217–226. doi: 10.1097/MLR.0b013e3182408812.
    1. Nilsen P. Making sense of implementation theories, models and frameworks. Implement Sci. 2015;10:53. doi: 10.1186/s13012-015-0242-0.
    1. Meyers DC, Durlak JA, Wandersman A. The quality implementation framework: a synthesis of critical steps in the implementation process. Am J Community Psychol. 2012;50(3-4):462–480. doi: 10.1007/s10464-012-9522-x.
    1. Implementation Science Team, National Cancer Institute, Division of Cancer Control and Population Sciences. Measuring the Use of the RE-AIM Model Dimension Items Checklist. 2012 . Accessed 2 Aug 2017.
    1. Glasgow RE, Harden SM, Gaglio B, Rabin B, Smith ML, Porter GC, et al. RE-AIM planning and evaluation framework: adapting to new science and practice with a 20-year review. Front Public Health. 2019;7:64. doi: 10.3389/fpubh.2019.00064.
    1. Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4:50. doi: 10.1186/1748-5908-4-50.
    1. Ward DS, Ball S, Vaughn A, McWilliams C. Promoting healthy weight by linking child care to home: report of a randomized control pilot study. 2008;16(supplement):240.
    1. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;348:g1687. doi: 10.1136/bmj.g1687.
    1. Ward D, Hales D, Haverly K, Marks J, Benjamin S, Ball S, et al. An instrument to assess the obesogenic environment of child care centers. Am J Health Behav. 2008;32(4):380–386. doi: 10.5555/ajhb.2008.32.4.380.
    1. Lyn R, Maalouf J, Evers S, Davis J, Griffin M. Nutrition and physical activity in child care centers: the impact of a wellness policy initiative on environment and policy assessment and observation outcomes. Prev Chronic Dis. 2013;10:E83. doi: 10.5888/pcd10.120232.
    1. Benjamin Neelon SE, Taveras EM, Ostbye T, Gillman MW. Preventing obesity in infants and toddlers in child care: results from a pilot randomized controlled trial. Maternal and child health journal. 2014;18(5):1246–1257. doi: 10.1007/s10995-013-1359-x.
    1. Wiltsey Stirman S, Kimberly J, Cook N, Calloway A, Castro F, Charns M. The sustainability of new programs and innovations: a review of the empirical literature and recommendations for future research. Implement Sci. 2012;7:17. doi: 10.1186/1748-5908-7-17.
    1. Fernandez ME, Walker TJ, Weiner BJ, Calo WA, Liang S, Risendal B, et al. Developing measures to assess constructs from the Inner Setting domain of the Consolidated Framework for Implementation Research. Implement Sci. 2018;13(1):52. doi: 10.1186/s13012-018-0736-7.
    1. Lehman WE, Greener JM, Simpson DD. Assessing organizational readiness for change. J Subst Abuse Treat. 2002;22(4):197–209. doi: 10.1016/S0740-5472(02)00233-7.
    1. Lehman WE, Simpson DD, Knight DK, Flynn PM. Integration of treatment innovation planning and implementation: strategic process models and organizational challenges. Psychol Addict Behav. 2011;25(2):252–261. doi: 10.1037/a0022682.
    1. Seward K, Wolfenden L, Wiggers J, Finch M, Wyse R, Oldmeadow C, et al. Measuring implementation behaviour of menu guidelines in the childcare setting: confirmatory factor analysis of a theoretical domains framework questionnaire (TDFQ) Int J Behav Nutr Phys Act. 2017;14(1):45. doi: 10.1186/s12966-017-0499-6.
    1. Huijg JM, Gebhardt WA, Dusseldorp E, Verheijden MW, van der Zouwe N, Middelkoop BJ, et al. Measuring determinants of implementation behavior: psychometric properties of a questionnaire based on the theoretical domains framework. Implement Sci. 2014;9:33. doi: 10.1186/1748-5908-9-33.
    1. Huijg JM, Presseau J. Health Psychology and Implementation science in tandem: developing questionnaires to assess theoretical domains and multiple goal pursuit. Eur Health Psychol. 2013;15(1):17–21.
    1. Ball SC, Benjamin SE, Ward DS. Development and reliability of an observation method to assess food intake of young children in child care. J Am Diet Assoc. 2007;107(4):656–661. doi: 10.1016/j.jada.2007.01.003.
    1. Krebs-Smith SM, Pannucci TE, Subar AF, Kirkpatrick SI, Lerman JL, Tooze JA, et al. Update of the healthy eating index: HEI-2015. J Acad Nutr Diet. 2018;118(9):1591–1602. doi: 10.1016/j.jand.2018.05.021.
    1. Pate RR, Almeida MJ, McIver KL, Pfeiffer KA, Dowda M. Validation and calibration of an accelerometer in preschool children. Obesity (Silver Spring, Md) 2006;14(11):2000–2006. doi: 10.1038/oby.2006.234.
    1. Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26(14):1557–1565. doi: 10.1080/02640410802334196.
    1. Reilly JJ, Coyle J, Kelly L, Burke G, Grant S, Paton JY. An objective method for measurement of sedentary behavior in 3- to 4-year olds. Obes Res. 2003;11(10):1155–1158. doi: 10.1038/oby.2003.158.
    1. Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, et al. 2000 CDC Growth Charts for the United States: methods and development. 2002(246):1-190.
    1. Little R, Rubin D. Statistical analysis with missing data. 2nd ed. Hoboken, NJ: Wiley; 2002.
    1. Molenberghs G, Kenward M. Missing data in clinical studies. West Sussex: Wiley; 2007.
    1. Preacher KJ, Zyphur MJ, Zhang Z. A general multilevel SEM framework for assessing multilevel mediation. Psychol Methods. 2010;15(3):209–233. doi: 10.1037/a0020141.
    1. Heck RH, Thomas SL. An introduction to multilevel modeling techniques. New York, NY: Routledge; 2009.
    1. Mehta PD, Neale MC. People are variables too: multilevel structural equations modeling. Psychol Methods. 2005;10(3):259–284. doi: 10.1037/1082-989X.10.3.259.
    1. Curran PJ. Have multilevel models been structural equation models all along? Multivariate Behav Res. 2003;38(4):529–569. doi: 10.1207/s15327906mbr3804_5.
    1. Rovine MJ, Molenaar PC. A structural modeling approach to a multilevel random coefficients model. Multivariate Behav Res. 2000;35(1):51–88. doi: 10.1207/S15327906MBR3501_3.
    1. Fitzmaurice GM, Laird NM, Ware JH. Applied longitudinal analysis. 2nd ed. Hoboken, New Jersey: Wiley; 2011.
    1. Murray DM, Hannan PJ, Wolfinger RD, Baker WL, Dwyer JH. Analysis of data from group-randomized trials with repeat observations on the same groups. Stat Med. 1998;17(14):1581–1600. doi: 10.1002/(SICI)1097-0258(19980730)17:14<1581::AID-SIM864>;2-N.
    1. Hesketh KD, Campbell KJ. Interventions to prevent obesity in 0-5 year olds: an updated systematic review of the literature. Obesity (Silver Spring). 2010;18(Suppl 1):S27–S35. doi: 10.1038/oby.2009.429.
    1. Bell AC, Davies L, Finch M, Wolfenden L, Francis JL, 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(9):1610–1619. doi: 10.1017/S1368980013003364.
    1. Finch M, Wolfenden L, Morgan PJ, Freund M, Jones J, Wiggers J. A cluster randomized trial of a multi-level intervention, delivered by service staff, to increase physical activity of children attending center-based childcare. Prev Med. 2014;58:9–16. doi: 10.1016/j.ypmed.2013.10.004.
    1. Finch M, Wolfenden L, Falkiner M, Edenden D, Pond N, Hardy LL, et al. Impact of a population based intervention to increase the adoption of multiple physical activity practices in centre based childcare services: a quasi experimental, effectiveness study. Int J Behav Nutr Phys Act. 2012;9:101. doi: 10.1186/1479-5868-9-101.
    1. Powell BJ, Fernandez ME, Williams NJ, Aarons GA, Beidas RS, Lewis CC, et al. Enhancing the impact of implementation strategies in healthcare: a research agenda. Front Public Health. 2019;7:3. doi: 10.3389/fpubh.2019.00003.
    1. Lewis CC, Klasnja P, Powell BJ, Lyon AR, Tuzzio L, Jones S, et al. From classification to causality: advancing understanding of mechanisms of change in implementation science. 2018;6:136. doi: 10.3389/fpubh.2018.00136
    1. Williams NJ. Multilevel Mechanisms of implementation strategies in mental health: integrating theory, research, and practice. Adm Policy Ment Health. 2016;43(5):783–798. doi: 10.1007/s10488-015-0693-2.
    1. Cradock A, Gortmaker S, Pipito A, Kenney E, Giles C. NAP SACC Researching and Intervention to create the healthiest next generation [Issue Brief]: Washington State Department of Health, Olympia, WA and the CHOICES Learning Collaborative Partnership at the Harvard T. H. Chan School of Public Health, Boston, MA;2017.
    1. Kenney E, Giles C, Flax C, Gortmaker S, Craddock A, Ward Z, et al. New Hampshire: Nutrition and Physical Activity Self-Assessment for Child Care (NAP SACC) Intervention [Issue Brief]: New Hampshire Department of Health and Human Services, Concord, NH, and the CHOICES Learning Collaborative Partnership at the Harvard T. H. Chan School of Public Health, Boston, MA;2017.
    1. Macedo C, Case S, Simpson K, Khan F, U'ren S, Giles C, et al. Oklahoma Nutrition and Physical Activity Self-Assessment for Child Care (NAP SACC) Intervention [Issue Brief]: Oklahoma State Department of Health and Oklahoma State Department of Human Services, Oklahoma City, OK, and the CHOICES Learning Collaborative Partnership at the Havard T. H. Chan School of Public Health, Boston, MA;2017.
    1. Jeffrey J, Giles C, Flax C, Cradock A, Gortmaker S, Ward Z, et al. West Virginia Key 2 a Healthy Start Intervention [Issue Brief]: West Virginia Department of Health and Human Resources, Charleston, WV, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA;2018.
    1. Kenney E, Cradock A, Resch S, Giles C, Gortmaker S. The cost-effectiveness of interventions for reducing obesity among young children through healthy eating, physical activity, and screen time. Durham, NC: Healthy Eating Research. 2019.
    1. Roberts SLE, Healey A, Sevdalis N. Use of health economic evaluation in the implementation and improvement science fields-a systematic literature review. Implement Sci. 2019;14(1):72. doi: 10.1186/s13012-019-0901-7.
    1. Reeves P, Edmunds K, Searles A, Wiggers J. Economic evaluations of public health implementation-interventions: a systematic review and guideline for practice. Public Health. 2019;169:101–113. doi: 10.1016/j.puhe.2019.01.012.
    1. Vale L, Thomas R, MacLennan G, Grimshaw J. Systematic review of economic evaluations and cost analyses of guideline implementation strategies. Eur J Health Econ. 2007;8(2):111–121. doi: 10.1007/s10198-007-0043-8.

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