The Pathway Project Mapping Tool-Assisting New Researchers in Writing Research Proposals

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Alicia K. Matthews
Miho Suzuki
Junko Tashiro
Chien-Ching Li
Karriem S. Watson
Sage J. Kim

Abstract

The purpose of this article is to describe the Pathway Project Mapping Tool (PPMT). The PPMT was developed to assist all levels of students/trainees in planning for and obtaining consultation on their research proposals. In addition, it intended for use by faculty charged with advising student research projects. The PPMT is divided into 25 sections, which together provides a comprehensive checklist and road map for proposal planning. The PPMT was developed by actively reviewing the content of established nursing research textbooks. In this paper, we describe each section of the PPMT in detail with examples and suggested additional resources, where applicable.

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How to Cite
Matthews, A. K., Suzuki, M. ., Tashiro, J. ., Li, C.-C. ., Watson, K. S. ., & Kim, S. J. . (2020). The Pathway Project Mapping Tool-Assisting New Researchers in Writing Research Proposals. Nursing Science Journal of Thailand, 38(2), 4–18. Retrieved from https://he02.tci-thaijo.org/index.php/ns/article/view/243404
Section
Systematic Review

References

Gray JR, Grove SK, Sutherland S. Burns and Grove's the practice of nursing research: appraisal, synthesis, and generation of evidence. 7th ed. Philadelphia, PA: Saunders; 2016. 752 p.

LoBiondo-Wood G, Haber J. Nursing research: methods and critical appraisal for evidence-based practice. 9th ed. Maryland Heights, MO: Elsevier (Mosby); 2017. 552 p.

Polit DF, Beck CT. Nursing research: generating and assessing evidence for nursing practice. 10th ed. Philadelphia, PA: Wolters Kluwer; 2016. 814 p.

National Institutes of Health. Definitions of criteria and considerations for research project grant (RPG/R01/R03/R15/R21/R34) critiques [Internet]. Bethesda, MD: National Institutes of Health; 2016 [cited 2020 Mar 20]. Available from: https://grants.nih.gov/grants/peer/critiques/rpg.htm.

US Department of Health Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office of Smoking and Health. The health consequences of smoking—50 years of progress: a report of the surgeon general [Internet]. Atlanta, GA: Centers for Disease Control and Prevention; 2014 [cited 2020 Mar 20]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK179276/

Swanson KM. Empirical development of a middle range theory of caring. Nurs Res. 1991;40(3):161-6. doi: 10.1097/00006199-199105000-00008.

Meleis AI. Transitions theory. In: Smith MC, Parker Me, editors. Nursing theories and nursing practice. 4th ed. Philadelphia, PA: F.A.Davis; 2015. p.361-80.

Lenz ER, Pugh LC, Milligan RA, Gift A, Suppe F. The middle-range theory of unpleasant symptoms: an update. ANS Adv Nurs Sci. 1997;19(3):14-27. doi: 10.1097/00012272-199703000-00003.

Strecher VJ, Rosenstock IM. The health belief model. In: Baum A, Newman S, Weinman J, West R, McManus C, editors. Cambridge handbook of psychology, health and medicine. Cambridge: Cambridge University Press; 1997. p.113-6.

Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179-211. doi: 10.1016/0749-5978(91)90020-T.

Golden SD, Earp JAL. Social ecological approaches to individuals and their contexts: twenty years of health education & behavior health promotion interventions. Health Educ Behav. 2012;39(3):364-72. doi: 10.1177/1090198111418634.

Ryan P. Integrated theory of health behavior change: background and intervention development. Clin Nurse Spec. 2009;23(3):161-70. doi: 10.1097/NUR.0b013e3181a42373.

Grant C, Osanloo A. Understanding, selecting, and integrating a theoretical framework in dissertation research: creating the blueprint for your “house”. Administrative Issues Journal: Connecting Education, Practice, and Research. 2014;4(2):12-26. doi: 10.5929/2014.4.2.9.

Meyer IH. Minority stress and mental health in gay men. J Health Soc Behav. 1995;36(1):38-56. doi: 10.2307/2137286.

Crenshaw K. Mapping the margins: intersectionality, identity politics, and violence against women of color. Stanford Law Rev. 1991;43(6):1241-99. doi: 10.2307/1229039.

Glanz K, Bishop DB. The role of behavioral science theory in development and implementation of public health interventions. Annu Rev Public Health. 2010;31:399-418. doi: 10.1146/annurev.publhealth.012809.103604.

Fishbein M, Yzer MC. Using theory to design effective health behavior interventions. Communication Theory. 2003;13(2):164-83. doi: 10.1111/j.1468-2885.2003.tb00287.x.

Robinson KA, Saldanha IJ, Mckoy NA. Methods Future Research Needs Report No. 2: frameworks for determining research gaps during systematic reviews [Internet]. Rockville, MD: Agency for Healthcare Research and Quality; 2011 [cited 2020 Mar 20]. Available from: https://effectivehealthcare.ahrq.gov/sites/default/files/pdf/methods-future-research-steps-framework_research.pdf.

Schardt C, Adams MB, Owens T, Keitz S, Fontelo P. Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med Inform Decis Mak. 2007;7:16. doi: 10.1186/1472-6947-7-16.

Patten ML, Newhart M. Understanding research methods: an overview of the essentials. England, UK: Routledge; 2017. 352 p.

Marczyk G, DeMatteo D, Festinger D. Essentials of research design and methodology. : John Wiley & Sons; 2005. 290 p.

Matthews AK, McConnell EA, Li CC, Vargas MC, King A. Design of a comparative effectiveness evaluation of a culturally tailored versus standard community-based smoking cessation treatment program for LGBT smokers. BMC Psychol. 2014;2(1):12. doi: 10.1186/2050-7283-2-12.

Johnson B. Toward a new classification of nonexperimental quantitative research. Educ Res. 2001;30(2):3-13. doi: 10.3102/0013189X030002003.

Quinn G, Ellison BB, Meade C, Roach CN, Lopez E, Albrecht T, et al. Adapting smoking relapse–prevention materials for pregnant and postpartum women: formative research. Matern Child Health J. 2006;10(3):235-45. doi: 10.1007/s10995-005-0046-y.

Tickle-Degnen L. Nuts and bolts of conducting feasibility studies. Am J Occup Ther. 2013;67(2):171-6. doi: 10.5014/ajot.2013.006270.

Eldridge SM, Lancaster GA, Campbell MJ, Thabane L, Hopewell S, Coleman CL, Bond CM. Defining feasibility and pilot studies in preparation for randomised controlled trials: development of a conceptual framework. PLoS One. 2016;11(3):e0150205. doi: 10.1371/journal.pone.0150205.

Spieth PM, Kubasch AS, Penzlin AI, Illigens BMW, Barlinn K, Siepmann T. Randomized controlled trials–a matter of design. Neuropsychiatr Dis Treat. 2016;12:1341-9. doi: 10.2147/NDT.S101938.

Fiore MC, Jaén CR, Baker TB, Bailey WC, Benowitz NL, Curry SJ, et al. Treating tobacco use and dependence: 2008 update. Clinical Practice Guideline. Rockville, MD: US Department of Health and Human Services; 2008. 276 p.

Kreuter MW, Lukwago SN, Bucholtz DC, Clark EM, Sanders-Thompson V. Achieving cultural appropriateness in health promotion programs: targeted and tailored approaches. Health Educ Behav. 2003;30(2):133-46. doi: 10.1177/1090198102251021.

Jager J, Putnick DL, Bornstein MH. More than just convenient: the scientific merits of homogeneous convenience samples. Monogr Soc Res Child Dev. 2017;82(2):13–30. doi: 10.1111/mono.12296.

Kadam P, Bhalerao S. Sample size calculation. Int J Ayurveda Res. 2010;1(1):55-7. doi: 10.4103/0974-7788.59946.

Sink CA, Mvududu NH. Statistical power, sampling, and effect sizes: three keys to research relevancy. Counseling Outcome Research and Evaluation. 2010;1(2):1-18. doi: 10.1177/2150137810373613.

Rak K, Matthews AK, Peña G, Choure W, Ruiz RA, Morales S, et al. Priority populations toolkits: enhancing researcher readiness to work with priority populations. J Clin Transl Sci. 2020;4(1):28-35. doi: 10.1017/cts.2019.436.

Gelinas L, Pierce R, Winkler S, Cohen IG, Lynch HF, Bierer BE. Using social media as a research recruitment tool: ethical issues and recommendations. Am J Bioeth. 2017;17(3):3-14. doi: 10.1080/15265161.2016.1276644.

Kubicek K, Robles M. Resource for integrating community voices into a research study: community advisory board toolkit. Los Angeles, CA: Southern California Clinical and Translational Science Institute; 2016. 32 p.

Peterson RA, Merunka DR. Convenience samples of college students and research reproducibility. J Bus Res. 2014;67(5):1035-41. doi: 10.1016/j.jbusres.2013.08.010.

Wallerstein N, Duran B. Community-based participatory research contributions to intervention research: the intersection of science and practice to improve health equity. Am J Public Health. 2010;100 Suppl 1:S40-6. doi: 10.2105/AJPH.2009.184036.

Matthews AK, Newman S, Anderson EE, Castillo A, Willis M, Choure W. Development, implementation, and evaluation of a Community Engagement Advisory Board: strategies for maximizing success. J Clin Transl Sci. 2018;2(1):8-13. doi: 10.1017/cts.2018.13.

Wong SL, Shields M, Leatherdale S, Malaison E, Hammond D. Assessment of validity of self-reported smoking status. Health Rep. 2012;23(1):47-53.

Scheuermann TS, Richter KP, Rigotti NA, Cummins SE, Harrington KF, Sherman SE, et al. Accuracy of self‐reported smoking abstinence in clinical trials of hospital‐initiated smoking interventions. Addiction. 2017;112(12):2227-36. doi: 10.1111/add.13913.

Newell SA, Girgis A, Sanson-Fisher RW, Savolainen NJ. The accuracy of self-reported health behaviors and risk factors relating to cancer and cardiovascular disease in the general population: a critical review. Am J Prev Med. 1999;17(3):211-29. doi: 10.1016/s0749-3797(99)00069-0.

Llewellyn-Bennett R, Bowman L, Bulbulia R. Post-trial follow-up methodology in large randomized controlled trials: a systematic review protocol. Systemic Review. 2016;5(1):214. doi: 10.1186/s13643-016-0393-3.

Fitzpatrick T, Perrier L, Shakik S, Cairncross Z, Tricco AC, Lix L, et al. Assessment of long-term follow-up of randomized trial participants by linkage to routinely collected data: a scoping review and analysis. JAMA Netw Open. 2018;1(8):e186019. doi: 10.1001/jamanetworkopen.2018.6019.

Morse JM. Determining sample size. Qual Health Res. 2000;10(1):3-5. doi: 10.1177/104973200129118183.

Krueger RA, Casey MA. Focus groups: a practical guide for applied research. 3rd ed. Thousand Oaks, CA: Sage Publications; 2000. 215 p.

Suresh KP, Chandrashekara S. Sample size estimation and power analysis for clinical research studies. J Hum Reprod Sci. 2012;5(1):7-13. doi: 10.4103/0974-1208.97779.

Dong Y, Peng C-YJ. Principled missing data methods for researchers. Springerplus. 2013;2(1):222. doi: 10.1186/2193-1801-2-222.

Schulz KF, Grimes DA. Sample size slippages in randomized trials: exclusions and the lost and wayward. Lancet. 2002;359(9308):781-5. doi: 10.1016/S0140-6736(02)07882-0.

Bennett DA. How can I deal with missing data in my study? Aust N Z J Public Health. 2001;25(5):464-9. doi: 10.1111/j.1467-842X.2001.tb00294.x.

Yeatts SD, Martin RH. What is missing from my missing data plan? Stroke. 2015;46(6):e130-2. doi: 10.1161/STROKEAHA.115.007984.

Little RJ, D'Agostino R, Cohen ML, Dickersin K, Emerson SS, Farrar JT, et al. The prevention and treatment of missing data in clinical trials. N Engl J Med. 2012;367(14):1355–60. doi: 10.1056/NEJMsr1203730.

Jenkins CR, Dillman DA. Towards a theory of self-administered questionnaire design. In: Lyberg LE, Biemer P, Collins M, DeLeeuw E, Dippo C, Schwarz N, et al., editors. Survey measurement and process quality. New York: Wiley; 1997. p.165-96.

De Leeuw ED. Reducing missing data in surveys: an overview of methods. Qual Quant. 2001;35(2):147-60. doi: 10.1023/A:1010395805406.

Little TD, Jorgensen TD, Lang KM, Moore EW. On the joys of missing data. J Pediatr Psychol. 2014;39(2):151-62. doi: 10.1093/jpepsy/jst048.

Wilkinson L, Task Force on Statistical Inference. Statistical methods in psychology journals: guidelines and explanations. Am Psychol. 1999;54(8):594-604. doi: 10.1037/0003-066X.54.8.594.

Jakobsen JC, Gluud C, Wetterslev J, Winkei P. When and how should multiple imputation be used for handling missing data in randomised clinical trials – A practical guide with flowcharts. BMC Med Res Methodol. 2017;17(1):162. doi: 10.1186/s12874-017-0442-1.