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Abstract

It is a challenge in pursuing an integrative approach to healthcare outcomes research. This paper articulates the need for conducting longitudinal data analysis to gain theoretical support for causal inquiries, using parallel latent growth curve modeling with multilevel predictors.

Furthermore, the availability of time constant and time-varying predictors in multi-wave study design and analysis is imperative in the healthcare investigation of trajectories in disease progression and prevention. The two-fold purpose of this paper is to address how the measurement of healthcare outcomes is quantified and used in longitudinal studies, and how the variability of outcomes can be analyzed by growth curve modeling with parallel change parameters. Future longitudinal studies should be based on evidence-based design and thorough deductive reasoning coupled with a sound and parsimonious theoretical framework.

Keywords

healthcare outcomes research parallel latent growth curve modeling trajectory patterns multi- wave study design and analysis causal inquiries transdisciplinary team research

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References

Andersen

Newman

(1973). Societal and individual determinants of medical care utilization in the United States. The Milbank Memorial Fund Quarterly, 51(1), 95–124. https://doi.org/10.2307/3349613

Cesario

S. K.

(2009). Designing health care environments: Part I. Basic concepts, principles, and issues related to evidence-based design. The Journal of Continuing Education in Nursing, 40(6), 280–288. https://doi.org/10.3928/00220124-20090522-09

Coulter

Ellins

(2006). Patient-focused interventions: A review of the evidence. Quality and Safety in Health Care, 15(1), 14–20.

Downward

Rasciute

Kumar

(2020). Health, subjective financial situation, and well-being: A longitudinal observational study. Health and Quality of Life Outcomes, 18 (1), 203. https://doi.org/10.1186/s12955-020-01456-3

Fisher

R. A.

(1925). Statistical methods for research workers. Oliver and Boyd: Edinburgh.

Friedman

L. M.

Furberg

C. D.

DeMets

D. L.

(2010). Fundamentals of clinical trials. Springer.

Gurupur

V. P.

Wan

T. T. H.

Raju

Kulkarni

S. A.

(2023). The need for innovations in healthcare systems using patient experience and advancing information technology. Journal of Integrated Design and Process Science, 27(1), 1–5. https://doi.org/10.3233/JID-230041

Hibbard

J. H.

Stockard

Mahoney

E. R.

Tusler

(2004). Development of patient activation measure (PAM): Conceptualizing and measuring activation in patients and consumers. Health Services Research, 39(4 Pt I), 1005–1026. https://doi.org/10.1111/j.1475-6773.2004.00269.x

Huckins

J. F.

DaSilva

A. W.

Hedlund

E. L.

Murphy

E. I.

Rogers

Wang

Obuchi

Holtzheimer

P. E.

Wagner

D. D.

Campbell

A. T.

(2020). Causal factors of anxiety and depression in college students: Longitudinal ecological momentary assessment and causal analysis using Peter and Clark momentary conditional independence. JMIR Mental Health, 7(6), e16684. https://doi.org/10.2196/16684

10.

Hudon

Fortin

Haggerty

J. L.

Lambert

Poitras

M. E.

(2011). Measuring patients’ perceptions of patient-centered care: A systematic review of tools for family medicine. Annals of Family Medicine, 9(2), 155–164. https://doi.org/10.1370/afm.1226

11.

Institute of Medicine. (2001). Crossing the quality chasm: A new health system for the 21^st Century. National Academies Press.

12.

Ioannidis

J. P.

(2005). Why most published research findings are false. PLoS Medicine, 2(8), e124. https://doi.org/10.1371/journal.pmed.0020124

13.

Katsiki

Papanas

Fonseca

V. A.

Maltezos

Mikhailidis

D. P.

(2013). Uric acid and diabetes: Is there a link? Current Pharmaceutic Design, 19(27), 4930–4937. https://doi.org/10.2174/1381612811319270016

14.

Kline

R. B.

(2023). Principles and practice of structural equation modeling. Guilford publications.

15.

Luh

Lin

M. Y.

P. H.

(2023). A single framework of precision surveillance of diabetes disease prognosis for better care with collaboration. Journal of Integrated Design and Process Science, 27(1), 27–39. https://doi.org/10.3233/JID-220012

16.

Mead

Bower

(2008). Patient-centredness: A conceptual framework and review of the empirical literature. Social Science and Medicine, 51(7), 1087–1110. https://doi.org/10.1016/S0277-9536(00)00098-8

17.

Mizuochi

(2024). The health consequences of returning to work after retirement: Evidence from a Japanese longitudinal survey. Economics & Human Biology, 52, 101330. https://doi.org/10.1016/j.ehb.2023.101330

18.

Norman

(2013). The design of everyday things: Revised and expanded edition. Basic Books.

19.

O'Sullivan

van Berkel

Kostakos

Schmaal

D'Alfonso

Valentine

D'Alfonso

Valentine

Bendall

Nelson

Gleeson

J. F.

Alvarez-Jimenez

(2023). Understanding what drives long-term engagement in digital mental health interventions: Secondary causal analysis of the relationship between social networking and therapy engagement. JMIR Mental Health, 10(1), e44812. https://doi.org/10.2196/44812

20.

Sevcikova

Maslej

M. M.

Stipl

Andrews

P. W.

Pastrnak

Vechetova

Bartoskova

Preiss

(2020). Testing the analytical rumination hypothesis: Exploring the longitudinal effects of problem-solving analysis on depression. Frontiers in Psychology, 11, 1344. https://doi.org/10.3389/fpsyg.2020.01344

21.

Singer

J. D.

Willett

J. B.

(2003). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford University Press.

22.

Stewart

Brown

J. B.

Donner

McWhinney

I. R.

Oates

Weston

W. W.

Jordan

(2000). The impact of patient-centered care on outcomes. Journal of Family Practice, 49(9), 796–804.

23.

Tian

Chen

Wang

Zhang

Luo

Wang

(2023a). Cumulative serum uric acid exposure and its time course with the risk of incident stroke. Stroke, 54, 2077–2086. https://doi.org/10.1161/STROKEAHA.123.042708

24.

Tian

Chen

Zhang

Qin

Xia

Wang

Luo

Meng

Wang

(2023b). Serum uric acid variation and the risk of cardiovascular disease: A prospective cohort study. European Journal of Internal Medicine, 112, 37–44. https://doi.org/10.1016/j.ejim.2023.02.001

25.

Twisk

J. W. R.

(2003). Applied longitudinal data analysis for epidemiology: A practical guide. Cambridge University Press.

26.

Wan

T. T. H.

(2002). Evidence-based health care management: Multivariate modeling approaches. the Kluwer Academic Publishers.

27.

Wan

T. T. H.

(2018). Population health management for poly chronic conditions. Springer.

28.

Wan

T. T.

(2023). Convergence of artificial intelligence research in healthcare: Trends and approaches. Journal of Integrated Design and Process Science, 26(3–4), 291–305. https://doi.org/10.3233/JID-200002

29.

Wan

T. T. H.

Breen

J. M.

Zhang

N. J.

Unruh

(2010). Improving the quality of care in nursing homes: An evidence-based approach. Johns Hopkins University Press.

30.

Wan

T. T. H.

Soifer

(1974). Determinants of physician utilization: A causal analysis. Journal of Health and Social Behavior, 15, 100–108. https://doi.org/10.2307/2137189

31.

Wan

T. T. H.

Wan

H. S.

(2023). Predictive analytics with a transdisciplinary framework in promoting patient-centric care of polychronic conditions: Trends, challenges, and solutions. Artificial Intelligence, 4(3), 482–490. https://doi.org/10.3390/ai4030026

32.

Wan

T. T. H.

Wang

B. L.

(2021). An integrated social and behavioral system approach to evaluation of healthcare information technology for polychronic conditions. Journal of Integrated Design and Process Science, 25(3/4), 151–163. https://doi.org/DOI. 10.3233/JID-200011

33.

Wang

Zhou

X. H.

(2022). Population-level effectiveness of COVID-19 vaccination program in the United States: Causal analysis based on structural nested mean model. Vaccines, 10(5), 726. https://doi.org/10.3390/vaccines10050726

34.

Wei

Chen

Wang

Jiang

Chen

(2021). U-shaped association between serum uric acid and short-term mortality in patients with infective endocarditis. Frontiers in Endocrinology, 12, 750818. https://doi.org/10.3389/fendo.2021.750818

35.

Węziak-Białowolska

Białowolski

(2016). Cultural events–does attendance improve health? Evidence from a Polish longitudinal study. BMC Public Health, 16, 730. https://doi.org/10.1186/s12889-016-3433-y

36.

White

K. L.

William

T. F.

Greenberg

B. G.

(1961). The ecology of medical care. New England Journal of Medicine, 265, 885–892. https://doi.org/10.1056/NEJM196111022651805

37.

World Health Organization. (2020). WHO. Basic documents (49^th ed). World Health Organization.

38.

Yang

Shewchuk

Shang

Lee

J. A.

Gehlert

(2023). Transdisciplinary team science in health research, where are we? Journal of Integrated Design and Process Science, 26(3-4), 307–316. https://doi.org/10.3233/JID-220011

39.

Zeng

(2011). Environment-based design (EBD). International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 237–250. https://doi.org/10.1115/DETC2011-48263

40.

Zhang

Liu

Song

Zhang

Shao

(2022). Impact of serum uric acid levels on the clinical prognosis and severity of coronary artery disease in patients with acute coronary syndrome and hypertension after percutaneous coronary intervention: A prospective cohort study. BMJ Open, 12, e052031. https://doi.org/10.1136/bmjopen-2021-052031

Theoretical and Methodological Imperatives in Longitudinal Healthcare Design and Research

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