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. Author manuscript; available in PMC: 2018 Jan 12.
Published in final edited form as: Nurs Res. 2011 May-Jun;60(3 Suppl):S79–S82. doi: 10.1097/NNR.0b013e31821cc240

Health Trajectory Research: A Call to Action for Nursing Science

Susan J Henly 1, Jean F Wyman 2, Joseph E Gaugler 3
PMCID: PMC5766261  NIHMSID: NIHMS300955  PMID: 21543965

Abstract

The focus of health trajectory research is study of health over time for individual persons, families, or communities. The person-focused, time-based perspective reflects health as it is experienced over the life course and maps directly onto processes of care, contributing to ease in translation of results to practice. The agenda focuses on theoretical and empirical components needed to (a) build health trajectory science; (b) develop the scientific workforce to conduct health trajectory research; (c) integrate health trajectory research with other critical, emerging areas of nursing science (genomics and genetics, informatics, dynamic systems and communication); and (d) apply health trajectory research across the life span and continuum of care. Agenda items point the way toward a reorientation of nursing research that incorporates and emphasizes understanding of individual health trajectories.

Keywords: health trajectory, applied longitudinal data analysis, nursing research agenda


Health trajectory research arises from the scholarly discipline of nursing, where the central focus is the study of health. Health trajectory research extends the accepted nursing metaparadigm to incorporate time as a fundamental concept and aligns nursing research models for longitudinal data with methodological standards in related disciplines. The basic approaches illustrated in this Supplement refocus nursing science on the person because intra-individual change over time in the personal health experience is the core concern (Henly, 2007). Scientific questions about change in health, the design of time-based health trajectory research projects, and statistical models for health trajectories map onto the processes of professional nursing (from assessment, goal setting, and interventions to outcome evaluation), thus leveraging the potential impact of nursing research findings to improve patient care. The time-based health trajectory perspective informs nursing science across the life span and across the continuum of care, including health promotion and disease prevention, acute care, and palliative and end-of-life care. In chronic disease, health trajectories provide the groundwork for understanding clinical course and the impact of interventions on disease progression.

The adoption of the health trajectory research perspective will require an increasingly well-prepared scientific workforce in nursing (Henly, 2011). Similar to recent educational changes in biological sciences (National Research Council, 2003), training for a life in nursing science may well need to begin deliberately in the undergraduate years and include mathematics through calculus. Continued discussion of the content of PhD programs in nursing science is required to determine the most efficient ways to develop student knowledge, advance theory (Wohlwill, van Geert, & Mos, 1991; Ram & Gerstorf, 2009) and use the advanced longitudinal approaches needed to capture temporal dynamics in health and illness-related phenomena. Quantitative course selection and sequencing, integration of the health trajectory content of nursing science with statistical models for longitudinal data, and specialized workshops for developing current nurse scientists’ skills may all have their place.

A health trajectory research agenda for person-centered nursing science appears in the Table. The agenda items identify four areas for action: (a) theoretical and empirical components needed to build health trajectory science, (b) paths to development of the community of scientists in nursing, (c) intersections with innovative and emerging areas of nursing research, and (d) translation of health trajectory findings across the life span and continuum of care. Action items associated with each area are identified and explained in Table 1.

Table 1.

Health Trajectory Research Agenda for Person-centered Nursing Science

1. Build Health Trajectory Science for Nursing Research
Measurement
Select measurement approaches with known sensitivity to change and responsivity to effective treatments (Stewart & Archibald, 1992, 1993). The Patient Reported Outcomes Measurement Information System (PROMIS, n.d.) should be considered.
Human Health Development
Incorporate basic science findings about physical and functional development (personality and social actions; behavior in nonhuman animals; perception, movement and language in infants and young children; psychopathology and emotional disorders; cognitive processes; Cairns, Costello, & Elder, 1996, p. 223) into knowledge about human health development (Halfon & Hochstein, 2002).
Natural History, Clinical Course, Disease and Disability Progression
Create descriptive knowledge about the nature of health trajectories as the essential foundation for knowing how, when, and where to intervene (e.g., National Institute of Mental Health, 2010) and to better understand the impact of health trajectories on function and quality of life.
Transitions (in health status including life transitions; across care settings)
Model trajectories across health and illness and care settings and life transitions to identify patterns of transition outcomes and factors associated with successful transitions at the individual, family, and systems levels (Meleis, Sawyer, Im, Hilfinger Messias,& Schumacher, 2000; National Institute of Nursing Research, 2006; Naylor, Kutzman, & Pauly, 2009).
Trajectories as Outcomes
Incorporate trajectories as outcomes in randomized trials of nursing interventions.
Trajectories as Mediators in Interventions and Outcomes Research
Explore use of joint models (Tsiatis & Davidian, 2004) to simultaneously study the effects of nursing interventions on health trajectories and the impact of health trajectories on time to critical life and health events.
Individualized/Tailored (Personalized) Interventions and Dynamic Treatment Regimens
Extend basic health trajectory research to incorporate patterns of health over time in the determination of tailored nursing intervention components related to timing, duration, and frequency (Beck et al., 2010) and to design and assess the effects of dynamic, within-individual treatment regimens (Shortreed et al., 2010).
Health Disparities and the Context for Change
Model contextual effects in longitudinal studies (Little, Bovaird, & Card, 2007) to understand the relationships between gender, race, ethnicity, geography, and socio-economic status on health outcomes over time (National Institute of Nursing Research, 2006).
Influence Agendas of Specialty Areas in Nursing Science
Incorporate health trajectories into the research agendas of nursing specialties across the life span.
2. Develop the Community of Scientists in Nursing
Undergraduate Nursing Science Curriculum
Upgrade the undergraduate curriculum for future nurse scientists by (a) incorporating mathematics through calculus and a solid grounding in statistics to ensure quantitative literacy (Steen, 2004) and (b) requiring completion of biology courses designed for future biological scientists (National Research Council, 2003) to ensure incorporation of life sciences research into nursing research.
PhD Curriculum in Nursing Science
Strengthen PhD curriculum in advanced research design and statistical methods (AACN Taskforce on Research-Focused Doctorate, 2010); incorporate coursework that provides experiences with longitudinal and intra-individual analyses.
Post-doctoral Fellowships in Nursing Science
Incorporate health trajectory research training in post-doctoral fellowship programs across the areas of nursing science.
Composition of Nursing Faculties and Research Teams
Include PhD-prepared measurement specialists and statisticians with expertise in modeling change and working with longitudinal data as members of regular nursing faculty and as principal/co-investigators to ensure ready collaboration and synergy in the development of scientific content and method.
Advanced Training for Nurse Scientists
Conduct specialized workshops and webinars in longitudinal methods and research design to afford nurse scientists the opportunity to gain expertise in health trajectory research methods.
3. Leverage Innovation and Emerging Areas of Nursing Research
Genetics and Genomics
Use time and the trajectory perspective to understanding the impact of genetic and genomic variation on outcomes of nursing care and design of gene-based treatments (Lea, Skirton, Read, & Williams, 2011; National Institute for Nursing Research, 2006; Jenkins, Grady, & Collins, 2005).
Informatics
Use knowledge discovery processes with clinical databases to support complex data visualization, analysis, and predictive modeling (Bakken, Stone, & Larson, 2008) to understand health trajectories in real world settings, to determine treatment outcomes with health trajectories as an outcome, and for comparative effectiveness studies.
Dynamic Systems and Communication
Use dynamic systems modeling with intensive longitudinal data obtained by emerging technology-based data collection methods (Walls & Schafer, 2006) to advance research related to communication in real time, especially between nurses and patients and their families, among nurses, and between nurses and other health professionals.
4. Translate Health Trajectory Research Findings across the Life Span and Continuum of Care
Health Promotion and Disease Prevention (Healthy People 2020)
Model type and patterns of behaviors and symptoms over time, examining the impact of environmental factors (e.g., McLeod & Shanahan, 1996), health system components, and nursing interventions (National Institute of Nursing Research, 2006).
Chronicity, including Transition from Acute to Chronic Illness
Model types and patterns of symptoms and symptom clusters over time, including the transition from acute to chronic illness; examine the impact of self-management and other interventions on chronic illness trajectories; model type and patterns of health trajectories in caregivers including the impact of interventions (National Institute of Nursing Research, 2006).
Palliative and End of Life Care
Model types and patterns of trajectories of symptoms and well-being among individuals in need of palliative and end of life care as well as the psychological and physical burden of their caregivers, including impact of interventions.
Comparative Effectiveness
Incorporate health trajectories as outcomes when designing clinical trials comparing two or more interventions (Patient Protection and Affordable Care Act, 2010).

Conclusion/Call to Action

Health trajectory research is person-centered and reconciles nursing science with the patient-focused perspectives and values in theory and practice. The person-centered health trajectory research agenda paves pathways to this future science. Health trajectory research is an exciting and welcome challenge at the frontiers of nursing science, with promise for improving health across the life span when findings are translated to practice.

Acknowledgments

Funded in part by the National Institute of Nursing Research (Grant #P20 NR008992; Center for Health Trajectory Research). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Nursing Research or the National Institutes of Health.

Footnotes

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Contributor Information

Susan J. Henly, University of Minnesota School of Nursing.

Jean F. Wyman, Professor and Cora Meidl Siehl Endowed Chair in Nursing Research, University of Minnesota School of Nursing.

Joseph E. Gaugler, Associate Professor, McKnight Presidential Fellow, University of Minnesota School of Nursing.

References

  1. AACN Task Force on the Research-Focused Doctorate in Nursing. The research-focused doctorate in nursing. Pathways to excellence. 2010 Retrieved on March 17, 2011 from http://www.aacn.nche.edu/Education/pdf/PhDPosition.pdf.
  2. Bakken S, Stone PW, Larson EL. A nursing informatics research agenda for 2008–18: Contextual influences and key components. Nursing Outlook. 2008;56:206–215. doi: 10.1016/j.outlook.2008.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Beck C, McSweeney JC, Richards KC, Roberson PK, Tsai PF, Souder E. Challenges in tailored intervention research. Nursing Outlook. 2010;58:104–110. doi: 10.1016/j.outlook.2009.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Cairns RB, Costello EJ, Elder GH., Jr . The making of developmental science. In: Cairns RB, Elder GH Jr, Costello EJ, editors. Developmental Science. Cambridge, UK: Cambridge University Press; 1996. pp. 223–234. [Google Scholar]
  5. Halfon N, Hochstein M. Life course health development: An integrated framework for developing health, policy and research. Milbank Quarterly. 2002;80:447–497. doi: 10.1111/1468-0009.00019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Healthy People. :2020. n.d. Retrieved from http://www.healthypeople.gov/2020/topicsobjectives2020/default.aspx.
  7. Henly SJ. The future history of nursing science: 2026. #x0005B;Editorial] Nursing Research. 2011;60:81. doi: 10.1097/NNR.0b013e3182123307. [DOI] [PubMed] [Google Scholar]
  8. Henly SJ. Lost in time: The person in nursing research [Editorial] Nursing Research. 2007;56:147. doi: 10.1097/01.NNR.0000270022.67489.e3. [DOI] [PubMed] [Google Scholar]
  9. Jenkins J, Grady PA, Collins FS. Nurses and the genomic revolution. Journal of Nursing Scholarship. 2005;37:98–101. doi: 10.1111/j.1547-5069.2005.00020.x. [DOI] [PubMed] [Google Scholar]
  10. Lea DH, Skirton H, Read CY, Williams JK. Implications for educating the next generation of nurses on genetics and genomics in the 21st century. Journal of Nursing Scholarship. 2011;43:3–12. doi: 10.1111/j.1547-5069.2010.01373.x. [DOI] [PubMed] [Google Scholar]
  11. Little TD, Bovaird JA, Card NA. Modeling contextual effects in longitudinal studies. Mahwah, NJ: Erlbaum; 2007. [Google Scholar]
  12. McLeod JD, Shanahan MJ. Trajectories of poverty and children’s mental health. Journal of Health and Social Behavior. 1996;37:207–220. [PubMed] [Google Scholar]
  13. Meleis AI, Sawyer LM, Im EO, Hilfinger Messias DK, Schumacher K. Experiencing transition: An emerging middle-range theory. Advances in Nursing Science. 2000;23:12–28. doi: 10.1097/00012272-200009000-00006. [DOI] [PubMed] [Google Scholar]
  14. National Institute of Mental Health. The National Institute of Mental Health strategic plan. Objective 2. Chart mental illness trajectories to determine when, where, and how to intervene. 2010 Retrieved on February 16, 2010 from: http://www.nimh.nih.gov/about/strategic-planning-reports/index.shtml.
  15. National Institute of Nursing Research. The NINR strategic plan. 2006 Retrieved on on March 15, 2011 from: http://www.ninr.nih.gov/AboutNINR/NINRMissionandStrategicPlan/
  16. National Research Council, Committee on Undergraduate Biology Education to Prepare Research Scientists for the 21st Century. BIO2010: Transforming undergraduate education for future research biologists. Washington, DC: National Academies Press; 2003. [Google Scholar]
  17. Naylor MD, Kutzman ET, Pauly MV. Transitions of elders between long-term care and hospitals. Policy, Politics, & Nursing Practice. 2009;10:187–194. doi: 10.1177/1527154409355710. [DOI] [PubMed] [Google Scholar]
  18. Patient Protection and Affordable Care Act of 2010. Subtitle D Patient-Centred Outcomes Research; 2011. (Pub L No 111-148, Part III Staff Training). [Google Scholar]
  19. Patient Reported Outcome Measurement Information System (PROMIS) Validity studies (previously Wave II) Testing. n.d. Retrieved on March 13, 2011 from http://www.nihpromis.org/Web%20Pages/Clinicians.aspx.
  20. Ram N, Gerstorf D. Methods for the study of development – Developing methods. Research in Human Development. 2009;6:61–73. doi: 10.1080/15427600902911114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Shortreed SM, Laber E, Lizotte DJ, Strioup TS, Pineau J, Murphy SA. Informing sequential clinical decision-making through reinforcement learning: An empirical study. Machine Learning. 2010 doi: 10.1007/s10994-010-5229-0. Retrieved from http://www.springerlink.com/content/61364524708h76g7/ [DOI] [PMC free article] [PubMed]
  22. Steen L. An urgent challenge for higher education. Washington, DC: The Mathematical Association of America; 2004. Achieving quantitative literacy. [Google Scholar]
  23. Stewart BJ, Archbold PG. Nursing intervention studies require outcome measures that are sensitive to change: Part one. Research in Nursing and Health. 1992;15:477–481. doi: 10.1002/nur.4770150610. [DOI] [PubMed] [Google Scholar]
  24. Stewart BJ, Archbold PG. Nursing intervention studies require outcome measures that are sensitive to change: Part two. Research in Nursing and Health. 1993;16:77–81. doi: 10.1002/nur.4770160110. [DOI] [PubMed] [Google Scholar]
  25. Tsiatis AA, Davidian M. Joint modeling of longitudinal and time-to-event data: An overview. Statistica Sinica. 2004;14:809–834. [Google Scholar]
  26. Walls TA, Schafer JL, editors. Models for intensive longitudinal data. Oxford, UK: Oxford University Press; 2006. [Google Scholar]
  27. Wohlwill JF, van Geert P, Mos LP. Relations between method and theory in developmental research: A partial-isomorphism view. Annals of Theoretical Psychology. 1991;7:91–138. [Google Scholar]

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