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Illustrating idiographic methods for translation research: moderation effects, natural clinical experiments, and complex treatment-by-subgroup interactions

  • Original Research
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Translational Behavioral Medicine

Abstract

A critical juncture in translation research involves the preliminary studies of intervention tools, provider training programs, policies, and other mechanisms used to leverage knowledge garnered at one translation stage into another stage. Potentially useful for such studies are rigorous techniques for conducting within-subject clinical trials, which have advanced incrementally over the last decade. However, these methods have largely not been utilized within prevention or translation contexts. The purpose of this manuscript is to demonstrate the flexibility, wide applicability, and rigor of idiographic clinical trials for preliminary testing of intervention mechanisms. Specifically demonstrated are novel uses of state-space modeling for testing intervention mechanisms of short-term outcomes, identifying heterogeneity in and moderation of within-person treatment mechanisms, a horizontal line plot to refine sampling design during the course of a clinic-based experimental study, and the need to test a treatment’s efficacy as treatment is administered along with (e.g., traditional 12-month outcomes).

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References

  1. Fishbein DH, Sussman S, Ridenour TA, Herman-Stahl M. Expanding the translational spectrum of prevention science: emerging research to support scaling up proven practices that prevent behavioral health problems. Transl Behav Med. This issue.

  2. Dishion TJ, Spracklen KM, Andrews DW, Patterson GR. Deviancy training in male adolescent friendships. Behav Ther. 1996; 27: 373-390.

    Article  Google Scholar 

  3. MacKinnon DP. Introduction to statistical mediation analysis. NY: Lawrence Erlbaum; 2008.

    Google Scholar 

  4. Edwards JR, Lambert LS. Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis. Psychol Meth. 2007; 12: 1.

    Article  Google Scholar 

  5. National Institutes of Health. NIH funds research consortia to study more than 200 rare diseases: $29 million awarded to expand NCATS’ collaborative Rare Diseases Clinical Research Network. Accessed on Jan 6, 2015 at: www.nih.gov/news/health/oct2014/ncats-08.htm. 2014.

  6. Ridenour TA, Pineo TZ, Maldonado-Molina MM, Hassmiller-Lich K. Toward idiographic research in prevention science: demonstration of three techniques for rigorous small sample research. Prev Sci. 2013; 14: 267-278.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Franklin RD, Gorman BS, Beasley TM, Allison DB. Graphical display and visual analysis. In: Franklin RD, Allison DB, Gorman RS, eds. Design and analysis of single-case research. Mahwah, NJ: Lawrence Erlbaum; 1997: 119-158.

    Google Scholar 

  8. Smith JD. Single-case experimental designs: a systematic review of published research and current standards. Psychol Method. 2012; 17: 510-550.

    Article  Google Scholar 

  9. Hedeker D, Gibbons RD. Longitudinal data analysis. Hoboken, NJ: Wiley; 2006.

    Google Scholar 

  10. Singer JD, Willett JB. Applied Longitudinal Data Analysis. New York: Oxford: 2003.

  11. Chow SM, Ho MHR, Hamaker EL, Dolan CV. Equivalence and differences between structural equation modeling and state-space modeling techniques. Struct Equat Model. 2010; 17: 303-332.

    Article  Google Scholar 

  12. Molenaar PC, Huizenga HM, Nesselroade JR. The relationship between the structure of interindividual and intraindividual variability: a theoretical and empirical vindication of developmental systems theory. In: Understanding human development. US: Springer; 2003: 339-360.

    Chapter  Google Scholar 

  13. Zheng Y, Wiebe RP, Cleveland HH, Molenaar PC, Harris KS. An idiographic examination of day-to-day patterns of substance use craving, negative affect, and tobacco use among young adults in recovery. Multivariate Behav Res. 2013; 48: 241-266.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Gu F, Preacher KJ, Ferrer E. A state space modeling approach to mediation analysis. J Educ Behav Stat. 2014; 39: 117-143.

    Article  Google Scholar 

  15. Liao P, Klasnja P, Tewari A, Murphy SA. Micro-Randomized Trials in mHealth. arXiv preprint arXiv:1504.00238.

  16. Bobashev GV, Liao D, Hampton J, Helzer JE. Individual patterns of alcohol use. Addict Behav. 2014; 39: 934-940.

    Article  PubMed  Google Scholar 

  17. Kessler RC, Berglund P, Demler O, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003; 289: 3095-3105.

    Article  PubMed  Google Scholar 

  18. Centers for Disease Control and Prevention. Web-based injury statistics query and reporting system (WISQARS). Retrieved from: www.cdc.gov/injury/wisqars/index.html 2011.

  19. Simpson HB, Nee JC, Endicott J. First-episode major depression: few sex differences in course. Arch General Psychiatr. 1997; 54: 633-639.

    Article  CAS  Google Scholar 

  20. Wittenborn AK, Culpepper B, Liu T. Treating depression in men: the role of emotionally focused couple therapy. Contemp Fam Ther. 2012; 34: 89-103.

    Article  Google Scholar 

  21. Barbato A, D’Avanzo B. Efficacy of couple therapy as a treatment for depression: a meta-analysis. Psychiatr Quart. 2008; 79: 121-132.

    Article  Google Scholar 

  22. Granger CWJ. Investigating causal relations by econometric models and cross-spectral methods. Econometrica. 1969; 37: 424-428.

    Article  Google Scholar 

  23. Shiffman S. Ecological momentary assessment (EMA) in studies of substance use. Psychol Assess. 2009; 21: 486-497.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Wittenborn AK, Liu T, Ridenour TA, Seedall RB. Emotionally focused therapy for depression: a rigorous pilot randomized controlled trial. Under review.

  25. Beck AT, Steer RA, Brown GK. Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation; 1996.

    Google Scholar 

  26. Spanier GB. Measuring dyadic adjustment: new scales for assessing the quality of marriage and similar dyads. J Marriage Fam Ther. 1976; 38: 15-28.

    Article  Google Scholar 

  27. Jacobi J, Fraser GL, Coursin DB, et al. Clinical practice guidelines for the sustained use of sedatives and analgesics in the critically ill adult. Crit Care Med. 2002; 30: 119-141.

    Article  PubMed  Google Scholar 

  28. Jackson DL, Proudfood CW, Cann KF, et al. The incidence of sub-optimal sedation in the ICU: a systematic review. Crit Care. 2009; 13: R204.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Benedict N, Felbinger M, Ridenour TA, Anthes A, Altawalbeh S, Kane-Gill S. Correlation of patient reported outcomes of sedation and sedation assessment scores in critically ill patients. J Crit Care. 2014; 29: 1132.e5-1132.e9.

    Article  Google Scholar 

  30. Corbett SM, Rebuck JA, Greene CM, et al. Dexmedetomidine does not improve patient satisfaction when compared with propofol during mechanical ventilation. Crit Care Med. 2005; 33: 940-945.

    Article  CAS  PubMed  Google Scholar 

  31. Riker RR, Picard JT, Fraser GL. Prospective evaluation of the sedation-agitation scale for adult critically ill patients. Crit Care Med. 1999; 27: 1325-1329.

    Article  CAS  PubMed  Google Scholar 

  32. Tueller S. longCatEDA: Package for Plotting Categorical Longitudinal and Time-Series Data. R package version 0.17. 2014.

  33. Centers for Disease Control and Prevention. FastStats—leading causes of death. (n.d.). Accessed September 16, 2014, from www.cdc.gov/nchs/fastats/leading-causes-of-death.htm.

  34. Centers for Disease Control and Prevention. National Diabetes Fact Sheet—Publications—Diabetes DDT. (n.d.). Accessed Feb 6, 2012, from www.cdc.gov/diabetes/pubs/factsheet11.htm.

  35. Crowley R, Wolfe I, Lock K, McKee M. Improving the transition between paediatric and adult healthcare: a systematic review. Arch Dis Child. 2011 archdischild202473.

  36. Berg CA, Wiebe DJ, Suchy Y, et al. Individual differences and day-to-day fluctuations in perceived self-regulation associated with daily adherence in late adolescents with type 1 diabetes. J Pediatr Psychol. 2014; 39: 1038-1048.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Haller MJ, Stalvey MS, Silverstein JH. Predictors of control of diabetes: monitoring may be the key. J Pediatr. 2004; 144: 660-661.

    Article  PubMed  Google Scholar 

  38. Stratton IM, Adler AI, Neil HAW, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000; 321: 405-412.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Raiff BR, Barry VB, Jitnarin N, Ridenour TA. Internet-based incentives increase blood glucose testing with a non-adherent, diverse sample of teens with type 1diabetes: a randomized, controlled trial. Under Rev.

  40. Raiff B, Dallery J. Internet-based contingency management to improve adherence with blood glucose testing recommendations for teens with type 1 diabetes. J Appl Behav Anal. 2010; 43: 487-491.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Institute of Medicine. Committee on Quality of Health Care in America. Crossing the quality chasm: a new health system for the 21st century. Washington, DC: National Academy Press; 2001.

    Google Scholar 

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Acknowledgments

This was an investigator-initiated study funded by grants from the National Institute on Drug Abuse (P50 05605), National Institute of Child Health and Human Development (R21 061683), an investigator-initiated grant from Hospira, Inc., and Fahs-Beck Fund for Research and Experimentation and the Virginia Tech College of Liberal Arts and Human Sciences Dean’s Faculty Fellowship. The funders played no role in the design, conduct, or analysis of the study nor in the interpretation and reporting of the study findings.

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Correspondence to Ty A Ridenour PhD.

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Conflict of interest

Ty Ridenour, Andrea Wittenborn, Bethany Raiff, Neal Benedict, and Sandra Kane-Gill have no conflict of interests to declare regarding the research reported herein.

Adherence to ethical principles

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee, overseen by the institutional review boards of the institutions where the study was conducted, and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Implications

Practice: Idiographic clinical trials need to be employed in pilot studies, research that requires high external validity and clinic-based studies, and to round out knowledge garnered from randomized clinical trials.

Policy: Idiographic clinical trials provide an assortment of rigorous techniques for translational research, especially pertinent to early stages of testing knowledge gained in one type of translation for use in another type.

Research: Idiographic clinical trials need to be used for small populations, rare diseases, when funds are sparse, and for treatment experiments conducted within “real-world” clinical settings.

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Ridenour, T.A., Wittenborn, A.K., Raiff, B.R. et al. Illustrating idiographic methods for translation research: moderation effects, natural clinical experiments, and complex treatment-by-subgroup interactions. Behav. Med. Pract. Policy Res. 6, 125–134 (2016). https://doi.org/10.1007/s13142-015-0357-5

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  • DOI: https://doi.org/10.1007/s13142-015-0357-5

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