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Chapter 2 - Screening and Assessment Methods for Wellness

from Part I - Approach to Wellness

Published online by Cambridge University Press:  18 September 2020

Waguih William IsHak
Affiliation:
Cedars-Sinai Medical Center and David Geffen School of Medicine, University of California Los Angeles (UCLA)
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Summary

There are multiple movements within medicine, public health, and health policy that have expanded the measurement of well-being and wellness and made such practices imperative. Medicine continues to grow more highly specialized and focused on biomedical treatments. Physicians’ roles have become more siloed, and our knowledge of the effects of illness and medical treatments on patients’ lives is limited. Simultaneously, public health research has elucidated the importance of contexts, connectedness, and functioning to health. Biomedical treatments and the absence of illness do not define health. Well-being, social connectedness, and one’s ability to function in essential domains of life are essential components of health. In response, health policy has begun to prioritize patient-reported outcomes, including well-being and health-related quality of life (QOL).

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Publisher: Cambridge University Press
Print publication year: 2020

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References

Nelson, EC, Eftimovska, E, Lind, C, et al. Patient reported outcome measures in practice. BMJ 2015; 350: g7818.Google Scholar
Snyder, CF, Aaronson, NK, Choucair, AK, et al. Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations. Qual Life Res 2012; 21(8): 13051314.Google Scholar
Diener, E, Chan, MY. Happy people live longer: subjective well-being contributes to health and longevity. Appl Psychol Health Well Being 2011; 3(1): 143.Google Scholar
Greenhalgh, J. The applications of PROs in clinical practice: what are they, do they work, and why? Qual Life Res 2009; 18(1): 115123.CrossRefGoogle ScholarPubMed
Lohr, KN, Zebrack, BJ. Using patient-reported outcomes in clinical practice: challenges and opportunities. Qual Life Res 2009; 18(1): 99107.Google Scholar
Ackerley, SJ, Gordon, HJ, Elston, AF, Crawford, LM, McPherson, KM. Assessment of quality of life and participation within an outpatient rehabilitation setting. Disabil Rehabil 2009; 31(11): 906913.CrossRefGoogle ScholarPubMed
Veenstra, M, Moum, T, Garratt, AM. Patient experiences with information in a hospital setting: associations with coping and self-rated health in chronic illness. Qual Life Res 2006; 15(6): 967978.Google Scholar
Topp, CW, Ostergaard, SD, Sondergaard, S, Bech, P. The WHO-5 Well-Being Index: a systematic review of the literature. Psychother Psychosom 2015; 84(3): 167176.Google Scholar
Psychiatric Research Unit. WHO (Five) Well-Being Index (1998 version). Hillerød, Denmark: WHO Collaborating Center for Mental Health; 1998.Google Scholar
Frendl, DM, Ware, JE, Jr. Patient-reported functional health and well-being outcomes with drug therapy: a systematic review of randomized trials using the SF-36 health survey. Med Care 2014; 52(5): 439445.Google Scholar
Stewart, AL, Ware, JE, Jr. Measuring Functioning and Well-Being: The Medical Outcomes Study Approach. Durham, NC: Duke University Press; 1992.Google Scholar
Ware, JE, Jr., Kosinski, M, Keller, SD. SF-12: How to Score the SF-12 Physical and Mental Health Summary Scales. Boston, MA: The Health Institute, New England Medical Center; 1995.Google Scholar
Diener, E, Emmons, RA, Larsen, RJ, Griffin, S. The Satisfaction with Life Scale. J Pers Assess 1985; 49(1): 7175.CrossRefGoogle ScholarPubMed
Pavot, W, Diener, E, Colvin, CR, Sandvik, E. Further validation of the Satisfaction with Life Scale: evidence for the cross-method convergence of well-being measures. J Pers Assess 1991; 57(1): 149161.Google Scholar
Seligman, MEP Flourish: A Visionary New Understanding of Happiness and Well-Being. New York: Free Press; 2011.Google Scholar
Butler, J, Kern, ML. The PERMA-Profiler: a brief multidimensional measure of flourishing. Int J Wellbeing 2016; 6(3): 148.Google Scholar
Kern, ML, Benson, L, Steinberg, EA, Steinberg, L. The EPOCH Measure of Adolescent Well-Being. Psychol Assess 2016; 28(5): 586597.Google Scholar
Cella, D, Riley, W, Stone, A, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. J Clin Epidemiol 2010; 63(11): 11791194.CrossRefGoogle ScholarPubMed
Wasson, JH. Regular exercise is strongly associated with anticipated success for reducing health risks. J Ambul Care Manage 2014; 37(3): 273276.Google Scholar
Smith, BJ, Marshall, AL, Huang, N. Screening for physical activity in family practice: evaluation of two brief assessment tools. Am J Prev Med 2005; 29(4): 256264.CrossRefGoogle ScholarPubMed
Webb, MJ, Wadley, G, Sanci, LA. Improving patient-centered care for young people in general practice with a codesigned screening app: mixed methods study. JMIR Mhealth Uhealth 2017; 5(8): e118.CrossRefGoogle ScholarPubMed
Webb, MJ, Wadley, G, Sanci, LA. Experiences of general practitioners and practice support staff using a health and lifestyle screening app in primary health care: implementation case study. JMIR Mhealth Uhealth 2018; 6(4): e105.Google Scholar
Rose, GL, Ferraro, TA, Skelly, JM, et al. Feasibility of automated pre-screening for lifestyle and behavioral health risk factors in primary care. BMC Fam Pract 2015; 16: 150.Google Scholar
Wasson, JH, Soloway, L, Moore, LG, Labrec, P, Ho, L. Development of a care guidance index based on what matters to patients. Qual Life Res 2018; 27(1): 5158.Google Scholar
Wasson, JH, Ho, L, Soloway, L, Moore, LG. Validation of the What Matters Index: a brief, patient-reported index that guides care for chronic conditions and can substitute for computer-generated risk models. PLoS One 2018; 13(2): e0192475.Google Scholar
Wasson, JH, Stukel, TA, Weiss, JE, et al. A randomized trial of the use of patient self-assessment data to improve community practices. Eff Clin Pract 1999; 2(1): 110.Google Scholar

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