Skip to main content

Patient-Centredness and Patient-Reported Measures (PRMs) in Palliation of Lung Disease

  • Chapter
  • First Online:
Palliative Care in Lung Disease

Part of the book series: Respiratory Medicine ((RM))

Abstract

Florence Nightingale, nurse and public health practitioner, was a forerunner in outcome assessment (Appleby J, Devlin N. Measuring success in the NHS. In: Using patient-assessed health outcomes to manage the performance of health care providers. London: King’s Fund/Dr Foster; 2004). Clinical outcome assessment (COA), an overarching term for patient-related outcomes, is subcategorised by changes observed/reported by either the patient, clinician or non-clinician or measurable physiological changes. A phenomenal evolution in medical technology has fuelled disease prevention, diagnosis and treatment and patient survival. The utlisation of patient-centred healthcare outputs has progressed more slowly.

Patient-centred concepts motivate and empower patients’ voice and sense of control despite life-limiting health conditions. They promote the biopsychosocial perspective and shared decision-making through a therapeutic alliance (Michie et al., Patient Educ Couns 51:197–206, 2003; Mead and Bower, Soc Sci Med 51:1087–110, 2000; Saha et al., J Natl Med Assoc 100:1275–85, 2008) essentially driven by respect for the patient. Patient-centred concepts are integrated into clinical care, policy-making, research design and methodology and inform instrument development. ‘Nothing about us, without us’ strengthens the patient voice and participation (Chu et al., BMJ 354:i3883, 2016).

Palliative care epitomises patient-centred care values and principles: palliating symptom distress and optimising health-related quality of life (HRQoL). Palliation requires responsiveness to the patient’s changing experience of their fluctuating health condition and life circumstances.

‘Patient-centredness’, a contemporary buzzword for healthcare excellence, belies patients being consistently at the centre of healthcare. The survival of patient-centred approaches struggles against a revenue-centred healthcare industry, wherein myopic financial-centred analytics may diminish the value and resources of patients and care team members. Patient-centred outcomes research (PCOR) strives to meet these challenges in optimising healthcare, through integrating patient perspectives, priorities, preferences, beliefs and values with patient-valued outcomes and long-term fiscal health.

This chapter outlines patient-centred strategies associated with COAs including patient-reported measures (PRMs) of outcomes, experience and motivation, the lived experience and treatment preferences that optimise clinical and research environments in palliative care in lung disease, therapeutic relationships and data collection to support policy and patient-centred infrastructure. This chapter is designed to support the content of the subsequent chapters of this textbook.

“Dr Russell is a National Institute for Health Research (NIHR) 70@70 Senior Research Fellow. The views expressed in this article are those of the author(s) and not necessarily those of the NIHR, or the Department of Health and Social Care.”

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The PROQOLID™ database is supplied with new instruments through recommended sources such as FDA, the EMA and the research community. PROQOLID™ is accessible at https://eprovide.mapi-trust.org/.

References

  1. Appleby J, Devlin N. Measuring success in the NHS. In: Using patient-assessed health outcomes to manage the performance of health care providers. London: King’s Fund/Dr Foster; 2004.

    Google Scholar 

  2. Michie S, Miles J, Weinman J. Patient-centredness in chronic illness: what is it and does it matter? Patient Educ Couns. 2003;51(3):197–206.

    Article  PubMed  Google Scholar 

  3. Mead N, Bower P. Patient-centredness: a conceptual framework and review of the empirical literature. Soc Sci Med. 2000;51(7):1087–110.

    Article  CAS  PubMed  Google Scholar 

  4. Saha S, Beach MC, Cooper LA. Patient centeredness, cultural competence and healthcare quality. J Natl Med Assoc. 2008;100(11):1275–85.

    PubMed  Google Scholar 

  5. Chu LF, Utengen A, Kadry B, et al. ‘Nothing about us without us’ – patient partnership in medical conferences. BMJ. 2016;354:i3883.

    Article  PubMed  Google Scholar 

  6. Collins SP, Levy PD, Holl JL, Butler J, Khan Y, Israel TL, Fonarow GC, Alikhaani J, Sarno E, Cook A, Yancy CW. Incorporating patient and caregiver experiences into cardiovascular clinical trial design. JAMA Cardiol. 2017;2(11):1263–9. https://doi.org/10.1001/jamacardio.2017.3606.

    Article  PubMed  Google Scholar 

  7. Gierisch JM, Hughes JM, Williams JW Jr, Gordon AM, Goldstein KM. Qualitative exploration of engaging patients as advisors in a program of evidence synthesis: cobuilding the science to enhance impact. Med Care. 2019;57 Suppl 10 Suppl 3(10 Suppl 3):S246–52. https://doi.org/10.1097/MLR.0000000000001174. PMID: 31517795; PMCID: PMC6750153.

    Article  PubMed  Google Scholar 

  8. Balint E. The possibilities of patient-centred medicine. J R Coll Gen Pract. 1969;17:269–76.

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Engel GI. The need for a new medical model: a challenge for biomedicine. Science. 1977;196:129–36.

    Article  CAS  PubMed  Google Scholar 

  10. Kitson A, Marshall A, Bassett K, Zeitz K. What are the core elements of patient-centred care? A narrative review and synthesis of the literature from health policy, medicine and nursing. J Adv Nurs. 2013;69(1):4–15.

    Article  PubMed  Google Scholar 

  11. Epstein RM, Stree RL Jr. Patient-centered communication in cancer care: promoting healing and reducing suffering. Bethesda: National Cancer Institute, NIH; 2007. Contract No.: 07-6225.

    Google Scholar 

  12. Wuyts WA, Peccatori FA, Russell AM. Patient-centred management in idiopathic pulmonary fibrosis: similar themes in three communication models. Eur Respir Rev. 2014;23(132):231–8. https://doi.org/10.1183/09059180.00001614.

    Article  PubMed  Google Scholar 

  13. Health Foundation. Health foundation person-centred care made simple. London: Health Foundation; 2015.

    Google Scholar 

  14. U.S. Department of Health and Human Services Food and Drug Administration (FDA). https://www.fda.gov/industry/prescription-drug-user-fee-amendments/voice-patient-series-reports-fdas-patient-focused-drug-development-initiative. Last accessed 26 Mar 2021.

  15. The Picker Institute Principles of Person Centered Care. https://www.picker.org/about-us/picker-principles-of-person-centred-care/. Last accessed 28 Mar 2021.

  16. Russell AM, Adamali H, Molyneaux PL, Lukey PT, Marshall RP, Renzoni EA, Wells AU, Maher TM. Daily home spirometry: an effective tool for detecting progression in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. 2016;194(8):989–97.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Johannson KA, Vittinghoff E, Morisset J, Lee JS, Balmes JR, Collard HR. Home monitoring improves endpoint efficiency in idiopathic pulmonary fibrosis. Eur Respir J. 2017;50:1602406.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Alexanderson H, Munters LA, Dastmalchi M, Loell I, Heimbürger M, Opava CH, Lundberg IE. Resistive home exercise in patients with recent-onset polymyositis and dermatomyositis -- a randomized controlled single-blinded study with a 2-year followup. J Rheumatol. 2014;41(6):1124–32.

    Article  PubMed  Google Scholar 

  19. Bernardi E, Pomidori L, Cassutti F, Cogo A. Home-based, moderate-intensity exercise training using a metronome improves the breathing pattern and oxygen saturation during exercise in patients with COPD. J Cardiopulm Rehabil Prev. 2018;38(6):E16–8.

    Article  PubMed  Google Scholar 

  20. Tuckson RV, Edmunds M, Hodgkins ML. Telehealth. N Engl J Med. 2017;377(16):1585–92.

    Article  PubMed  Google Scholar 

  21. Coats HL. African American elders’ psychological-social-spiritual cultural experiences across serious illness: an integrative literature review through a palliative care lens. Ann Palliat Med. 2017;6(3):253–69. https://doi.org/10.21037/apm.2017.03.09. Epub 2017 Apr 17. PMID: 28595425; PMCID: PMC6280962.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Vujcic M, Tomicevic-Dubljevic J, Grbic M, Lecic-Tosevski D, Vukovic O, Toskovic O. Nature based solution for improving mental health and well-being in urban areas. Environ Res. 2017;158:385–92. https://doi.org/10.1016/j.envres.2017.06.030. Epub 2017 Jul 5.

    Article  CAS  PubMed  Google Scholar 

  23. Han AR, Park SA, Ahn BE. Reduced stress and improved physical functional ability in elderly with mental health problems following a horticultural therapy program. Complement Ther Med. 2018;38:19–23. https://doi.org/10.1016/j.ctim.2018.03.011. Epub 2018 Mar 28.

    Article  PubMed  Google Scholar 

  24. Nicholas SO, Giang AT, Yap PLK. The effectiveness of horticultural therapy on older adults: a systematic review. J Am Med Dir Assoc. 2019;20(10):1351.e1–1351.e11. https://doi.org/10.1016/j.jamda.2019.06.021. Epub 2019 Aug 8.

    Article  Google Scholar 

  25. Freeman M, Ayers C, Peterson C, Kansagara D. Aromatherapy and essential oils: a map of the evidence. Washington, DC: Department of Veterans Affairs (US); 2019.

    Google Scholar 

  26. Sánchez-Vidaña DI, Ngai SP, He W, Chow JK, Lau BW, Tsang HW. The effectiveness of aromatherapy for depressive symptoms: a systematic review. Evid Based Complement Alternat Med. 2017:5869315. https://doi.org/10.1155/2017/5869315. Epub 2017 Jan 4. PMID: 28133489; PMCID: PMC5241490.

  27. Ulrich RS. Effects of interior design on wellness: theory and recent scientific research. J Health Care Inter Des. 1991;3:97–109.

    CAS  PubMed  Google Scholar 

  28. Ulrich RS. View through a window may influence recovery from surgery. Science. 1984;224(4647):420–1. https://doi.org/10.1126/science.6143402.

    Article  CAS  PubMed  Google Scholar 

  29. Schweitzer M, Gilpin L, Frampton S. Healing spaces: elements of environmental design that make an impact on health. J Altern Complement Med. 2004;10(Suppl 1):S71–83. https://doi.org/10.1089/1075553042245953.

    Article  PubMed  Google Scholar 

  30. Reiling J, Hughes RG, Murphy MR. The impact of facility design on patient safety. In: Hughes RG, editor. Patient safety and quality: an evidence-based handbook for nurses. Rockville: Agency for Healthcare Research and Quality (US); 2008. Chapter 28.

    Google Scholar 

  31. Designing for quality: hospitals look to the built environment to provide better patient care and outcomes. Qual Lett Healthc Lead. 2003;15(4):2–13, 1.

    Google Scholar 

  32. Healing environments: progress toward “evidence-based design”. Russ Coiles Health Trends. 2001;13(11):8–12.

    Google Scholar 

  33. Brambilla A, Rebecchi A, Capolongo S. Evidence based hospital design. A literature review of the recent publications about the EBD impact of built environment on hospital occupants’ and organizational outcomes. Ann Ig. 2019;31(2):165–80. https://doi.org/10.7416/ai.2019.2269.

    Article  CAS  PubMed  Google Scholar 

  34. Engineer A, Ida A, Sternberg EM. Healing spaces: designing physical environments to optimize health, wellbeing, and performance. Int J Environ Res Public Health. 2020;17(4):1155. https://doi.org/10.3390/ijerph17041155. PMID: 32059563; PMCID: PMC7068320.

    Article  PubMed Central  Google Scholar 

  35. Geimer-Flanders J. Creating a healing environment: rationale and research overview. Cleve Clin J Med. 2009;76 Suppl 2:S66–9. https://doi.org/10.3949/ccjm.76.s2.13.

    Article  PubMed  Google Scholar 

  36. Benedetti F, Colombo C, Barbini B, Campori E, Smeraldi E. Morning sunlight reduces length of hospitalization in bipolar depression. J Affect Disord. 2001;62(3):221–3. https://doi.org/10.1016/s0165-0327(00)00149-x.

    Article  CAS  PubMed  Google Scholar 

  37. Beauchemin KM, Hays P. Dying in the dark: sunshine, gender and outcomes in myocardial infarction. J R Soc Med. 1998;91(7):352–4. https://doi.org/10.1177/014107689809100703. PMID: 9771492; PMCID: PMC1296806.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Beauchemin KM, Hays P. Sunny hospital rooms expedite recovery from severe and refractory depressions. J Affect Disord. 1996;40(1–2):49–51. https://doi.org/10.1016/0165-0327(96)00040-7.

    Article  CAS  PubMed  Google Scholar 

  39. Eagle A. Interiors: distinctive design. Creating the [patient centered] room. Health Facil Manage. 2007;20(6):40–4.

    PubMed  Google Scholar 

  40. Berry LL, Parker D, Coile RC Jr, Hamilton DK, O’Neill DD, Sadler BL. The business case for better buildings. Front Health Serv Manage. 2004;21(1):3–24.

    Article  PubMed  Google Scholar 

  41. Thayer JF, Loerbroks A, Sternberg EM. Inflammation and cardiorespiratory control: the role of the vagus nerve. Respir Physiol Neurobiol. 2011;178(3):387–94. https://doi.org/10.1016/j.resp.2011.05.016. Epub 2011 May 27.

    Article  CAS  PubMed  Google Scholar 

  42. Knowles LM, Skeath P, Jia M, Najafi B, Thayer J, Sternberg EM. New and future directions in integrative medicine research methods with a focus on aging populations: a review. Gerontology. 2016;62(4):467–76. https://doi.org/10.1159/000441494. Epub 2015 Nov 7.

    Article  PubMed  Google Scholar 

  43. Sternberg EM. Neural regulation of innate immunity: a coordinated nonspecific host response to pathogens. Nat Rev Immunol. 2006;6(4):318–28. https://doi.org/10.1038/nri1810. PMID: 16557263; PMCID: PMC1783839.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Duckworth A, Gibbons MA, Allen RJ, Almond H, Beaumont RN, Wood AR, Lunnon K, Lindsay MA, Wain LV, Tyrrell J, Scotton CJ. Telomere length and risk of idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease: a mendelian randomisation study. Lancet Respir Med. 2021;9(3):285–94. https://doi.org/10.1016/S2213-2600(20)30364-7.Epub 2020 Nov 13.

    Article  CAS  PubMed  Google Scholar 

  45. Arsenis NC, You T, Ogawa EF, Tinsley GM, Zuo L. Physical activity and telomere length: impact of aging and potential mechanisms of action. Oncotarget. 2017;8(27):45008–19. https://doi.org/10.18632/oncotarget.16726. PMID: 28410238; PMCID: PMC5546536.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Ornish D, Lin J, Chan JM, Epel E, Kemp C, Weidner G, Marlin R, Frenda SJ, Magbanua MJM, Daubenmier J, Estay I, Hills NK, Chainani-Wu N, Carroll PR, Blackburn EH. Effect of comprehensive lifestyle changes on telomerase activity and telomere length in men with biopsy-proven low-risk prostate cancer: 5-year follow-up of a descriptive pilot study. Lancet Oncol. 2013;14(11):1112–20. https://doi.org/10.1016/S1470-2045(13)70366-8. Epub 2013 Sep 17.

    Article  CAS  PubMed  Google Scholar 

  47. Ornish D, Lin J, Daubenmier J, Weidner G, Epel E, Kemp C, Magbanua MJ, Marlin R, Yglecias L, Carroll PR, Blackburn EH. Increased telomerase activity and comprehensive lifestyle changes: a pilot study. Lancet Oncol. 2008;9(11):1048–57. https://doi.org/10.1016/S1470-2045(08)70234-1. Epub 2008 Sep 15. Erratum in: Lancet Oncol. 2008;9(12):1124.

    Article  CAS  PubMed  Google Scholar 

  48. Gasperino J. The Leapfrog initiative for intensive care unit physician staffing and its impact on intensive care unit performance: a narrative review. Health Policy. 2011;102(2–3):223–8. https://doi.org/10.1016/j.healthpol.2011.02.005. Epub 2011 Mar 24.

    Article  PubMed  Google Scholar 

  49. Tritou I, Vakaki M, Sfakiotaki R, Kalaitzaki K, Raissaki M. Pediatric thyroid ultrasound: a radiologist’s checklist. Pediatr Radiol. 2020;50(4):563–74. https://doi.org/10.1007/s00247-019-04602-2. Epub 2020 Mar 12.

    Article  PubMed  Google Scholar 

  50. Williams PD, Williams AR, Kelly KP, Dobos C, Gieseking A, Connor R, Ridder L, Potter N, Del Favero D. A symptom checklist for children with cancer: the Therapy-Related Symptom Checklist-Children. Cancer Nurs. 2012;35(2):89–98. https://doi.org/10.1097/NCC.0b013e31821a51f6.

    Article  PubMed  Google Scholar 

  51. Gao MC, Martin PB, Motal J, Gingras LF, Chai C, Maikoff ME, Sarkisian AM, Rosenthal N, Eiss BM. A multidisciplinary discharge timeout checklist improves patient education and captures discharge process errors. Qual Manag Health Care. 2018;27(2):63–8. https://doi.org/10.1097/QMH.0000000000000168.

    Article  PubMed  Google Scholar 

  52. Health Foundation. The making good decisions in collaboration programme (MAGIC): evaluation. 2013. https://www.health.org.uk/publications/the-magic-programme-evaluation. Accessed 6 Apr 2021 at 10:00.

  53. National Institute of Clinical Excellence. https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/nice-guidelines/shared-decision-making. Accessed 6 Apr 2021 at 10:00.

  54. U.S. Department of Health and Human Services Food and Drug Administration. https://www.fda.gov/drugs/development-approval-process-drugs/fda-patient-focused-drug-development-guidance-series-enhancing-incorporation-patients-voice-medical. Accessed 6 Apr 2021 at 10:00.

  55. Personalised Care Institute. https://www.personalisedcareinstitute.org.uk/. Accessed 6 Apr 2021 at 10:00.

  56. Ho AHY, Car J, Ho MR, Tan-Ho G, Choo PY, Patinadan PV, Chong PH, Ong WY, Fan G, Tan YP, Neimeyer RA, Chochinov HM. A novel Family Dignity Intervention (FDI) for enhancing and informing holistic palliative care in Asia: study protocol for a randomized controlled trial. Trials. 2017;18(1):587. https://doi.org/10.1186/s13063-017-2325-5. PMID: 29202863; PMCID: PMC5715529.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Kornblith AB, Herr HW, Ofman US, Scher HI, Holland JC. Quality of life of patients with prostate cancer and their spouses. The value of a data base in clinical care. Cancer. 1994;73(11):2791–802. https://doi.org/10.1002/1097-0142(19940601)73:11<2791::aid-cncr2820731123>3.0.co;2-9.

    Article  CAS  PubMed  Google Scholar 

  58. Weitzenkamp DA, Gerhart KA, Charlifue SW, Whiteneck GG, Savic G. Spouses of spinal cord injury survivors: the added impact of caregiving. Arch Phys Med Rehabil. 1997;78(8):822–7. https://doi.org/10.1016/s0003-9993(97)90194-5.

    Article  CAS  PubMed  Google Scholar 

  59. Youngblood NM, Hines J. The influence of the family’s perception of disability on rehabilitation outcomes. Rehabil Nurs. 1992;17(6):323–6. https://doi.org/10.1002/j.2048-7940.1992.tb01268.x.

    Article  CAS  PubMed  Google Scholar 

  60. Moor CC, van Manen MJG, van Hagen PM, Miedema JR, van den Toorn LM, Gür-Demirel Y, Berendse APC, van Laar JAM, Wijsenbeek MS. Needs, perceptions and education in sarcoidosis: a live interactive survey of patients and partners. Lung. 2018;196(5):569–75. https://doi.org/10.1007/s00408-018-0144-4. Epub 2018 Aug 7. PMID: 30088094; PMCID: PMC6153596.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Sandford D, Reynolds P. The psychological distress that idiopathic pulmonary fibrosis patients and caregivers experience. The invisible injury that adds complexity to management and treatment. Respirology. 2019;24:89. https://doi.org/10.1111/resp.13699_254.

    Article  Google Scholar 

  62. Tan JY, Molassiotis A, et al. Emotional distress and quality of life among informal caregivers of lung cancer patients: an exploratory study. Eur J Cancer Care. 2018;27:e12691.

    Article  Google Scholar 

  63. Strang S, et al. Family caregivers’ heavy and overloaded burden in advanced chronic obstructive pulmonary disease. J Palliat Med. 2018;21:1768–72.

    Article  PubMed  Google Scholar 

  64. Verma S, et al. Caregiver’s burden in pulmonary arterial hypertension: a clinical review. J Exerc Rehabil. 2016;12:386.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Russell AM, Ripamonti E, Vancheri C. Qualitative European survey of patients with idiopathic pulmonary fibrosis: patients’ perspectives of the disease and treatment. BMC Pulm Med. 2016;16:1–7.

    Article  CAS  Google Scholar 

  66. Adelman RD, et al. Caregiver burden: a clinical review. JAMA. 2014;311:1052–60.

    Article  CAS  PubMed  Google Scholar 

  67. Golics CJ, et al. Int J Gen Med. 2013;6:787–98. Published 2013 Sep 18. https://doi.org/10.2147/IJGM.S45156.

  68. Schulz R, Beach SR, Friedman EM. Caregiving factors as predictors of care recipient mortality. Am J Geriatr Psychiatry. 2021;29(3):295–303. https://doi.org/10.1016/j.jagp.2020.06.025. Epub 2020 Jul 5. PMID: 32718853; PMCID: PMC7782207.

    Article  PubMed  Google Scholar 

  69. Vitaliano PP, Scanlan JM, Zhang J, Savage MV, Hirsch IB, Siegler IC. A path model of chronic stress, the metabolic syndrome, and coronary heart disease. Psychosom Med. 2002;64(3):418–35. https://doi.org/10.1097/00006842-200205000-00006.

    Article  CAS  PubMed  Google Scholar 

  70. Moon HE, Haley WE, Rote SM, Sears JS. Caregiver well-being and burden: variations by race/ethnicity and care recipient nativity status. Innov Aging. 2020;4(6):igaa045. https://doi.org/10.1093/geroni/igaa045. PMID: 33241124; PMCID: PMC7679974.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Perkins M, Howard VJ, Wadley VG, Crowe M, Safford MM, Haley WE, Howard G, Roth DL. Caregiving strain and all-cause mortality: evidence from the REGARDS study. J Gerontol B Psychol Sci Soc Sci. 2013;68:504–12.

    Article  PubMed  Google Scholar 

  72. Mausbach BT, Roepke SK, Ziegler MG, Milic M, von Känel R, Dimsdale JE, Mills PJ, Patterson TL, Allison MA, Ancoli-Israel S, Grant I. Association between chronic caregiving stress and impaired endothelial function in the elderly. J Am Coll Cardiol. 2010;55(23):2599–606. https://doi.org/10.1016/j.jacc.2009.11.093. PMID: 20513601; PMCID: PMC2892624.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Lee S, Colditz GA, Berkman LF, Kawachi I. Caregiving and risk of coronary heart disease in U.S. women: a prospective study. Am J Prev Med. 2003;24(2):113–9. https://doi.org/10.1016/s0749-3797(02)00582-2.

    Article  PubMed  Google Scholar 

  74. Lee S, Colditz G, Berkman L, Kawachi I. Caregiving to children and grandchildren and risk of coronary heart disease in women. Am J Public Health. 2003;93(11):1939–44. https://doi.org/10.2105/ajph.93.11.1939. PMID: 14600070; PMCID: PMC1448080.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Kitko L, McIlvennan CK, Bidwell JT, Dionne-Odom JN, Dunlay SM, Lewis LM, Meadows G, Sattler ELP, Schulz R, Strömberg A, American Heart Association Council on Cardiovascular and Stroke Nursing, Council on Quality of Care and Outcomes Research, Council on Clinical Cardiology; and Council on Lifestyle and Cardiometabolic Health. Family caregiving for individuals with heart failure: a scientific statement from the American Heart Association. Circulation. 2020;141(22):e864–78. https://doi.org/10.1161/CIR.0000000000000768. Epub 2020 Apr 30.

    Article  PubMed  Google Scholar 

  76. Schulz R, Beach SR, Czaja SJ, Martire LM, Monin JK. Family caregiving for older adults. Annu Rev Psychol. 2020;71:635–59. https://doi.org/10.1146/annurev-psych-010419-050754. PMID: 31905111; PMCID: PMC7291827.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Haley WE, Roth DL, Howard G, Safford MM. Caregiving strain and estimated risk for stroke and coronary heart disease among spouse caregivers: differential effects by race and sex. Stroke. 2010;41:331–6.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Schulz R, Beach SR. Caregiving as a risk factor for mortality: the Caregiver Health Effects Study. JAMA. 1999;282(23):2215–9. https://doi.org/10.1001/jama.282.23.2215.

    Article  CAS  PubMed  Google Scholar 

  79. Tsai CF, Hwang WS, Lee JJ, Wang WF, Huang LC, Huang LK, Lee WJ, Sung PS, Liu YC, Hsu CC, Fuh JL. Predictors of caregiver burden in aged caregivers of demented older patients. BMC Geriatr. 2021;21(1):59. https://doi.org/10.1186/s12877-021-02007-1. PMID: 33446114; PMCID: PMC7809883.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Epstein-Lubow G, Gaudiano BA, Hinckley M, Salloway S, Miller IW. Evidence for the validity of the American Medical Association’s Caregiver Self-Assessment Questionnaire as a screening measure for depression. J Am Geriatr Soc. 2010;58(2):387–8.

    Article  PubMed  Google Scholar 

  82. Zarit SH, Todd PA, Zarit JM. Subjective burden of husbands and wives as caregivers: a longitudinal study. Gerontologist. 1986;26:260–6.

    Article  CAS  PubMed  Google Scholar 

  83. Robinson BC. Validation of a caregiver strain index. J Gerontol. 1983;38:344–8.

    Article  CAS  PubMed  Google Scholar 

  84. Ptomey LT, Vidoni ED, Montenegro-Montenegro E, Thompson MA, Sherman JR, Gorczyca AM, Greene JL, Washburn RA, Donnelly JE. The feasibility of remotely delivered exercise session in adults with Alzheimer’s disease and their caregivers. J Aging Phys Act. 2019;27(5):670–7. https://doi.org/10.1123/japa.2018-0298. PMID: 30747564; PMCID: PMC6891121.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Mausbach BT, Harmell AL, Moore RC, Chattillion EA. Influence of caregiver burden on the association between daily fluctuations in pleasant activities and mood: a daily diary analysis. Behav Res Ther. 2011;49(1):74–9. https://doi.org/10.1016/j.brat.2010.11.004. Epub 2010 Nov 22. PMID: 21130981; PMCID: PMC3025044.

    Article  PubMed  Google Scholar 

  86. Lindell KO, Nouraie M, Klesen MJ, Klein S, Gibson KF, Kass DJ, Rosenzweig MQ. Randomised clinical trial of an early palliative care intervention (SUPPORT) for patients with idiopathic pulmonary fibrosis (IPF) and their caregivers: protocol and key design considerations. BMJ Open Respir Res. 2018;5(1):e000272. https://doi.org/10.1136/bmjresp-2017-000272.

    Article  PubMed  PubMed Central  Google Scholar 

  87. https://medium.com/@JoeBiden/the-biden-plan-for-mobilizing-american-talent-and-heart-to-create-a-21st-century-caregiving-and-af5ba2a2dfeb. Last accessed 29 Mar 2021.

  88. Lee J, Cagle JG. Measures of financial burden for families dealing with serious illness: a systematic review and analysis. Palliat Med. 2021;35(2):280–94. https://doi.org/10.1177/0269216320973161. Epub 2020 Dec 4.

    Article  PubMed  Google Scholar 

  89. British Lung Foundation. https://www.blf.org.uk/taskforce. Accessed 06 04 21 10:00h.

  90. Fayers PM, Machin D. Quality of life: the assessment, analysis and interpretation of patient-reported outcomes. 2nd ed. Chichester/Hoboken: John Wiley & Sons Ltd; 2007.

    Book  Google Scholar 

  91. Saketkoo LA, Escorpizo R, Keen KJ, Fligelstone K, Distler O. International Classification of Functioning, Disability and Health core Set construction in systemic sclerosis and other rheumatic diseases: a EUSTAR initiative. Rheumatology. 2012;51:2170–6.

    Article  PubMed  Google Scholar 

  92. Liang JW, Cheung YK, Willey JZ, et al. Quality of life independently predicts long-term mortality but not vascular events: the Northern Manhattan Study. Qual Life Res. 2017;26:2219–28. https://doi.org/10.1007/s11136-017-1567-8.

    Article  PubMed  PubMed Central  Google Scholar 

  93. Kanwal F, Gralnek IM, Hays RD, et al. Health-related quality of life predicts mortality in patients with advanced chronic liver disease. Clin Gastroenterol Hepatol. 2009;7:793–9. https://doi.org/10.1016/j.cgh.2009.03.013.

    Article  PubMed  Google Scholar 

  94. Irwin KE, Greer JA, Khatib J, Temel JS, Pirl WF. Early palliative care and metastatic non-small cell lung cancer: potential mechanisms of prolonged survival. Chron Respir Dis. 2013;10:35–47. https://doi.org/10.1177/1479972312471549.

    Article  PubMed  Google Scholar 

  95. Giese-Davis J, Collie K, Rancourt KMS, et al. Decrease in depression symptoms is associated with longer survival in patients with metastatic breast cancer: a secondary analysis. J Clin Oncol. 2011;29:413–20. https://doi.org/10.1200/JCO.2010.28.4455.

    Article  PubMed  Google Scholar 

  96. Bakitas M, Lyons KD, Hegel MT, et al. Effects of a palliative care intervention on clinical outcomes in patients with advanced cancer: the project ENABLE II randomized controlled trial. JAMA. 2009;302:741–9. https://doi.org/10.1001/jama.2009.1198.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  97. Molassiotis AW, Uyterlinde PJ, Hollen L, Sarna P, Palmer M. Krishnasamy supportive care in lung cancer: milestones over the past 40 years. J Thorac Oncol. 2015;10(1):10–8.

    Article  PubMed  Google Scholar 

  98. Stącel T, Jaworska I, Zawadzki F, Wajda-Pokrontka M, Tatoj Z, Urlik M, et al. Assessment of quality of life among patients after lung transplantation: a single-center study. transplantation proceedings. Transplant Proc. 2020;52(7):2165–72. https://doi.org/10.1016/j.transproceed.2020.03.048.

    Article  PubMed  Google Scholar 

  99. Kolaitis NA, Singer JP. Defining success in lung transplantation: from survival to quality of life. Semin Respir Crit Care Med. 2018;39(2):255–68.

    Article  PubMed  Google Scholar 

  100. Alvarelhão J, Silva A, Martins A, Queirós A, Amaro A, Rocha N, Lains J. Comparing the content of instruments assessing environmental factors using the International Classification of Functioning, Disability and Health. J Rehabil Med. 2012;44(1):1–6. https://doi.org/10.2340/16501977-0905.

    Article  PubMed  Google Scholar 

  101. United States Food and Drug Administration. Clinical Outcome Assessments (COA) qualification program resources. www.fda.gov . Last Accessed 29 Mar 2021.

  102. Powers JH, Patrick DL, Walton MK, Marquis P, Cano S, Hobart J, et al. Clinician-reported outcome assessments of treatment benefit: report of the ISPOR clinical outcome assessment emerging good practices task force. Value Health J Int Soc Pharmacoecon Outcomes Res. 2017;20(1):2–14.

    Article  Google Scholar 

  103. Saketkoo LA, Mittoo S, Huscher D, Khanna D, Dellaripa PF, Distler O, Flaherty KR, Frankel S, Oddis CV, Denton CP, Fischer A, Kowal-Bielecka OM, LeSage D, Merkel PA, Phillips K, Pittrow D, Swigris J, Antoniou K, Baughman RP, Castelino FV, Christmann RB, Christopher-Stine L, Collard HR, Cottin V, Danoff S, Highland KB, Hummers L, Shah AA, Kim DS, Lynch DA, Miller FW, Proudman SM, Richeldi L, Ryu JH, Sandorfi N, Sarver C, Wells AU, Strand V, Matteson EL, Brown KK, Seibold JR, CTD-ILD Special Interest Group. Connective tissue disease related interstitial lung diseases and idiopathic pulmonary fibrosis: provisional core sets of domains and instruments for use in clinical trials. Thorax. 2014;69(5):428–36. https://doi.org/10.1136/thoraxjnl-2013-204202. Epub 2013 Dec 24. Erratum in: Thorax. 2014;69(9):834. CTD-ILD Special Interest Group [added]; multiple investigator names added. PMID: 24368713; PMCID: PMC3995282.

    Article  PubMed  Google Scholar 

  104. U.S. Department of Health and Human Services Food and Drug Administration (FDA). Guidance for industry patient-reported outcome measures: use in medical product development to support labeling claims. Maryland FDA 2009 http://www.fda.gov/downloads/Drugs/Guidances/UCM193282.pdf.

  105. Saketkoo LA, Mittoo S, Frankel S, et al. Reconciling healthcare professional and patient perspectives in the development of disease activity and response criteria in connective tissue disease-related interstitial lung diseases. J Rheumatol. 2014;41(4):792–8.

    Article  PubMed  PubMed Central  Google Scholar 

  106. Saketkoo LA, Mittoo S, Huscher D, et al. Connective tissue disease related interstitial lung diseases and idiopathic pulmonary fibrosis: provisional core sets of domains and instruments for use in clinical trials. Thorax. 2014;69(5):428–36.

    Article  PubMed  Google Scholar 

  107. Coulter A, Roberts S, Dixon A. Delivering better services for people with long term conditions: building the house of care. London: The King’s Fund; 2013.

    Google Scholar 

  108. Moor CC, Mostard M, Grutters J, et al. Home monitoring in patients with IPF: a RCT. Am J Respir Crit Care Med. 2020;202(3):393–401.

    Article  PubMed  Google Scholar 

  109. Pletta KH, Kerr BR, Eickhoff JC, Allen GS, Jain SR, Moreno MA. Pediatric asthma action plans: national cross-sectional online survey of parents’ perceptions. JMIR Pediatr Parent. 2020;3(2):e21863. https://doi.org/10.2196/21863. PMID: 33164900; PMCID: PMC7683255.

    Article  PubMed  PubMed Central  Google Scholar 

  110. Kelly C, Grundy S, Lynes D, Evans DJ, Gudur S, Milan SJ, Spencer S. Self-management for bronchiectasis. Cochrane Database Syst Rev. 2018;2(2):CD012528. https://doi.org/10.1002/14651858.CD012528.pub2. PMID: 29411860; PMCID: PMC6491127.

    Article  PubMed  Google Scholar 

  111. National Academies of Sciences, Engineering, and Medicine. 2019. Taking action against clinician burnout: a systems approach to professional well-being. Washington, DC: The National Academies Press. https://doi.org/10.17226/25521.

  112. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International J Qual Health Care. 2007;19(6):349–57.

    Article  Google Scholar 

  113. Russell AM Development and testing of an Idiopathic Pulmonary Fibrosis (IPF) Patient Reported Outcome Measure (PROM) Doctoral Thesis; 2018. Imperial College London.

    Google Scholar 

  114. Stratford P, Gill C, Westaway M, Binkley J. Assessing disability and change on individual patients: a report of a patient specific measure. Physiother Can. 1995;47:258–63.

    Article  Google Scholar 

  115. Tugwell P, Bombardier C, Buchanan WW, et al. The MACTAR patients preference disability questionnaire: an individualized functional priority approach for assessing improvement in physical disability in clinical trials in rheumatoid arthritis. J Rheumatol. 1987;14:446–51.

    CAS  PubMed  Google Scholar 

  116. Calvert M, Blazeby J, Altman DG, Revicki DA, Moher D, Brundage MD. Reporting of patient-reported outcomes in randomized trials: the CONSORT PRO extension. JAMA. 2013;309(8):814–22.

    Article  CAS  PubMed  Google Scholar 

  117. Russell A-M, Sprangers MA, Wibberley S, Snell N, Rose DM, Swigris JJ. The need for patient-centred clinical research in idiopathic pulmonary fibrosis. BMC Med. 2015;13(1):240.

    Article  PubMed  PubMed Central  Google Scholar 

  118. Emery MP, Perrier LL, Acquadro C. Patient-reported outcome and quality of life instruments database (PROQOLID): frequently asked questions. Health Qual Life Outcomes. 2005;3:12.

    Article  PubMed  PubMed Central  Google Scholar 

  119. Devlin N, Appleby J. Getting the most out of PROMs: putting health outcomes at the heart of NHS decision-making (The King’s Fund). 2010. https://www.kingsfund.org.uk/sites/files/kf/Getting-the-most-out-of-PROMs-Nancy-Devlin-John-Appleby-Kings-Fund-March-2010.pdf.

  120. Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, et al. The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. J Clin Epidemiol. 2010;63(7):737–45.

    Article  PubMed  Google Scholar 

  121. McKenna SP. Measuring patient-reported outcomes: moving beyond misplaced common sense to hard science. BMC Med. 2011;9:86.

    Article  PubMed  PubMed Central  Google Scholar 

  122. Prinsen CAC, Vohra S, Rose MR, King-Jones S, Ishaque S, Bhaloo Z, et al. Core Outcome Measures in Effectiveness Trials (COMET) initiative: protocol for an international Delphi study to achieve consensus on how to select outcome measurement instruments for outcomes included in a ‘core outcome set’. Trials. 2014;15(1):247.

    Article  PubMed  PubMed Central  Google Scholar 

  123. Greenhalgh J, Abhyankar P, McCluskey S, Takeuchi E, Velikova G. How do doctors refer to patient-reported outcome measures (PROMS) in oncology consultations? Qual Life Res. 2013;22(5):939–50.

    Article  PubMed  Google Scholar 

  124. National Health Service England. National Patient Reported Outcome Measures (PROMs) programme consultation report. Leeds Insight and Feedback Team NHSE; 2017.

    Google Scholar 

  125. Boyce MB, Browne JP, Greenhalgh J. The experiences of professionals with using information from patient-reported outcome measures to improve the quality of healthcare: a systematic review of qualitative research. BMJ Qual Saf. 2014;23(6):508–18.

    Article  PubMed  Google Scholar 

  126. Nelson EC, Eftimovska E, Lind C, Hager A, Wasson JH, Lindblad S. Patient reported outcome measures in practice. BMJ (Online). 2015;350:g7818.

    Google Scholar 

  127. Krawczyk M, Sawatzky R. Relational use of an electronic quality of life and practice support system in hospital palliative consult care: a pilot study. Palliat Support Care. 2018;17:208–13.

    Google Scholar 

  128. Gamlen E, Arber A. First assessments by specialist cancer nurses in the community: an ethnography. Eur J Oncol Nurs. 2013;17(6):797–801.

    Article  PubMed  Google Scholar 

  129. Santana MJ, Haverman L, Absolom K, Takeuchi E, Feeny D, Grootenhuis M, et al. Training clinicians in how to use patient-reported outcome measures in routine clinical practice. Qual Life Res. 2015;24(7):1707–18.

    Article  PubMed  Google Scholar 

  130. Health and Social Care Information Centre (HSCIC). Patient Reported Outcome Measures (PROMs) in England: a guide to PROMs methodology. London: NHS digital [Health and Social Care Information Centre]; 2017.

    Google Scholar 

  131. International Society for Quality of Life Research. User’s guide to implementing patient-reported outcomes assessment in clinical practice. 2011. http://www.isoqol.org/UserFiles/file/UsersGuide.pdf.

  132. Annells M, Koch T. The real stuff': implications for nursing of assessing and measuring a terminally ill person’s quality of life. J Clin Nurs. 2001;10(6):806–12.

    Article  CAS  PubMed  Google Scholar 

  133. Santana MJ, Feeny D. Framework to assess the effects of using patient-reported outcome measures in chronic care management. Qual Life Res. 2014;23(5):1505–13.

    Article  PubMed  Google Scholar 

  134. Feldman-Stewart D, Brundage M. A conceptual framework for patient-provider communication: a tool in the PRO research tool box. Qual Life Res. 2009;18:109–14.

    Article  CAS  PubMed  Google Scholar 

  135. Neale J, Strang J. Philosophical ruminations on measurement: methodological orientations of patient reported outcome measures (PROMS). J Ment Health. 2015;24(3):123–5.

    Article  PubMed  Google Scholar 

  136. Department of Health. Digital strategy: leading the culture change in health and care; 2012.

    Google Scholar 

  137. NHSE Independent evaluation of the feasibility of using the Patient Activation Measure in the NHS in England: NHSE 03964: 20/11/2015.

    Google Scholar 

  138. NHSE PAM implementation quick guide NHSE 07888: 04/04/2018.

    Google Scholar 

  139. Hibbard JH, Greene J, Shi Y, Mittler J, Scanlon D. Taking the long view: how well do patient activation scores predict outcomes four years later? Med Care Res Rev. 2015;72(3):324–37. https://doi.org/10.1177/1077558715573871.

    Article  PubMed  Google Scholar 

  140. Graffigna G, Barello S, Bonanomi A, Lozza E. Measuring patient engagement: development and psychometric properties of the Patient Health Engagement (PHE) Scale. Front Psychol. 2015;6:274. https://doi.org/10.3389/fpsyg.2015.00274.

    Article  PubMed  PubMed Central  Google Scholar 

  141. Barello S, Castiglioni C, Bonanomi A, Graffigna G. The Caregiving Health Engagement Scale (CHE-s): development and initial validation of a new questionnaire for measuring family caregiver engagement in healthcare. BMC Public Health. 2019;19(1):1562. https://doi.org/10.1186/s12889-019-7743-8. PMID: 31771546; PMCID: PMC6880352.

    Article  PubMed  PubMed Central  Google Scholar 

  142. Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care. 1986;24:67–74. https://doi.org/10.1097/00005650-198601000-00007.

    Article  CAS  PubMed  Google Scholar 

  143. Raleigh V, Graham C, Thompson J, Sizmur S, Jabbal J, Coulter A. Patients’ experience of using hospital services: an analysis of trends in inpatient surveys in NHS acute trusts in England, 2005–13 The King’s fund London 2015.

    Google Scholar 

  144. De Rosis S, Cerasuolo D, Nuti S. Using patient-reported measures to drive change in healthcare: the experience of the digital, continuous and systematic PREMs observatory in Italy. BMC Health Serv Res. 2020;20:315. https://doi.org/10.1186/s12913-020-05099-4.

    Article  PubMed  PubMed Central  Google Scholar 

  145. Bosworth A, Cox M, O’Brien A, Jones P, Sargeant I, Elliott A, Bukhari M. Development and Validation of a Patient Reported Experience Measure (PREM) for patients with Rheumatoid Arthritis (RA) and other rheumatic conditions. Curr Rheumatol Rev. 2015;11:1–7.

    Article  PubMed  Google Scholar 

  146. Hodson M, Roberts CM, Andrew S, et al. Development and first validation of a patient-reported experience measure in chronic obstructive pulmonary disease (PREM-C9). Thorax. 2019;74:600–3.

    Article  PubMed  Google Scholar 

  147. Mercer SW, McConnachie A, Maxwell M, Heaney DH, Watt GCM. Relevance and performance of the Consultation and Relational Empathy (CARE) measure in general practice. Fam Pract. 2005;22(3):328–34.

    Article  PubMed  Google Scholar 

  148. IPF World. European IPF Patient Charter. www.ipfcharter.org/the-charter/ Date last updated: 2015. Date last accessed: 06 04 21.

  149. Bonella F, Wijsenbeek M, MolinaMolina M, Duck A, Mele R, Geissler K, Wuyts W. European IPF Patient Charter: unmet needs and a call to action for healthcare policymakers. Eur Respir J. 2016;47(2):597–606. https://doi.org/10.1183/13993003.01204-2015.

    Article  PubMed  Google Scholar 

  150. Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions: the Cochrane collaboration; 2011.

    Google Scholar 

  151. Pompili C, Novoa N, Balduyck B. Clinical evaluation of quality of life: a survey among members of European Society of Thoracic Surgeons (ESTS). Interact Cardiovasc Thorac Surg. 2015;21(4):415–9.

    Article  PubMed  Google Scholar 

  152. Ratnayake I, Ahern S, Ruseckaite R. A systematic review of patient-reported outcome measures (PROMs) in cystic fibrosis. BMJ Open. 2020;10:e033867. https://doi.org/10.1136/bmjopen-2019-033867.

    Article  PubMed  PubMed Central  Google Scholar 

  153. Hughes R, Aspinal F, Addington-Hall JM, Dunckley M, Faull C, Higginson I. It just didn't work: the realities of quality assessment in the English health care context. Int J Nurs Stud. 2004;41(7):705–12.

    Article  PubMed  Google Scholar 

  154. NHS England National PROMs Programme Guidance. 2017. https://www.england.nhs.uk/ourwork/insight/proms/. Accessed 06 04 21.

  155. Ahmed S, Berzon RA, Revicki DA, Lenderking WR, Moinpour CM, Basch E, et al. The use of patient-reported outcomes (PRO) within comparative effectiveness research: implications for clinical practice and health care policy. Med Care. 2012;50(12):1060–70.

    Article  PubMed  Google Scholar 

  156. Detmar SB, Muller MJ, Schornagel JH, Wever LD, Aaronson NK. Health-related quality-of-life assessments and patient-physician communication: a randomized controlled trial. JAMA. 2002;288(23):3027–34.

    Article  PubMed  Google Scholar 

  157. Valderas JM, Kotzeva A, Espallargues M, Guyatt G, Ferrans CE, Halyard MY, et al. The impact of measuring patient-reported outcomes in clinical practice: a systematic review of the literature. Qual Life Res. 2008;17(2):179–93.

    Article  CAS  PubMed  Google Scholar 

  158. Bergner M, Bobbitt RA, Carter WB, Gilson BS. The Sickness Impact Profile: development and final revision of a health status measure. Med Care. 1981;19(8):787–805.

    Article  CAS  PubMed  Google Scholar 

  159. Ware J Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33.

    Article  PubMed  Google Scholar 

  160. Martinez TY, Pereira CAC, dos Santos ML, Ciconelli RM, Guimarães SM, Martinez JAB. Evaluation of the short-form 36-item questionnaire to measure health-related quality of life in patients with idiopathic pulmonary fibrosis. Chest. 2000;117(6):1627–32.

    Article  CAS  PubMed  Google Scholar 

  161. Ware JES, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): I. Conceptual framework and item selection. Med Care. 1992;30:473–83.

    Article  PubMed  Google Scholar 

  162. van Reenen M, Janssen B. EQ-5D-5L User Guide: basic information on how to use the EQ-5D-5L instrument. The Netherlands: EuroQol Research Foundation; 2015.

    Google Scholar 

  163. National Institute of Clinical Excellence. Guide to the methods of technology appraisal. Process and methods London: 2013 Contract No.: PMG9.

    Google Scholar 

  164. Herdman M, Gudex C, Lloyd A, Janssen MF, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20(10):1727–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  165. Stiggelbout AM, de Vogel-Voogt E. Health state utilities: a framework for studying the gap between the imagined and the real. Value Health. 2008;11(1):76–87.

    Article  PubMed  Google Scholar 

  166. Excellence NIfHaC. Indicators for the NICE menu for the QOF: COPD NM104. London: NICE; 2015.

    Google Scholar 

  167. Manali ED, Stathopoulos GT, Kollintza A, Kalomenidis I, Emili JM, Sotiropoulou C, et al. The Medical Research Council chronic dyspnea score predicts the survival of patients with idiopathic pulmonary fibrosis. Respir Med. 2008;102(4):586–92.

    Article  PubMed  Google Scholar 

  168. Mura M, Porretta MA, Bargagli E, Sergiacomi G, Zompatori M, Sverzellati N, et al. Predicting survival in newly diagnosed idiopathic pulmonary fibrosis: a 3-year prospective study. Eur Respir J. 2012;40(1):101–9.

    Article  PubMed  Google Scholar 

  169. Jones PW, Adamek L, Nadeau G, Banik N. Comparisons of health status scores with MRC grades in COPD: implications for the GOLD 2011 classification. Eur Respir J. 2013;42(3):647–54.

    Article  PubMed  Google Scholar 

  170. Rajala K, Lehto JT, Sutinen E, Kautiainen H, Myllärniemi M, Saarto T. mMRC dyspnoea scale indicates impaired quality of life and increased pain in patients with idiopathic pulmonary fibrosis. ERJ Open Research. 2017;3(4):00084-2017.

    Article  PubMed  PubMed Central  Google Scholar 

  171. Cella D, Lai JS, Chang CH, Peterman A, Slavin M. Fatigue in cancer patients compared with fatigue in the general United States population. Cancer. 2002;15:528–38. https://doi.org/10.1002/cncr.10245.

    Article  Google Scholar 

  172. Acaster S, Dickerhoof R, DeBusk K, Bernard K, Strauss W, Allen LF. Qualitative and quantitative validation of the FACIT-fatigue scale in iron deficiency anemia. Health Qual Life Outcomes. 2015;13:60. https://doi.org/10.1186/s12955-015-0257-x.

    Article  PubMed  PubMed Central  Google Scholar 

  173. Cella D, Wilson H, Shalhoub H, et al. Content validity and psychometric evaluation of functional assessment of chronic illness therapy-fatigue in patients with psoriatic arthritis. J Patient Rep Outcomes. 2019;3:30. https://doi.org/10.1186/s41687-019-0115-4.

    Article  PubMed  PubMed Central  Google Scholar 

  174. Eek D, Ivanescu C, Corredoira L, Meyers O, Cella D. Content validity and psychometric evaluation of the functional assessment of chronic illness therapy-fatigue scale in patients with chronic lymphocytic leukemia. J Patient Rep Outcomes. 2021;5(1):27. https://doi.org/10.1186/s41687-021-00294-1.

    Article  PubMed  PubMed Central  Google Scholar 

  175. Jones PW, Quirk FH, Baveystock CM. The St George’s respiratory questionnaire. Respir Med. 85;(Suppl B):25–31.

    Google Scholar 

  176. Swigris JJ, Esser D, Conoscenti CS, Brown KK. The psychometric properties of the St George’s Respiratory Questionnaire (SGRQ) in patients with idiopathic pulmonary fibrosis: a literature review. Health Qual Life Outcomes. 2014;12(1):124.

    Article  PubMed  PubMed Central  Google Scholar 

  177. Richeldi L, du Bois RM, Raghu G, Azuma A, Brown KK, Costabel U, et al. Efficacy and safety of nintedanib in idiopathic pulmonary fibrosis. N Engl J Med. 2014;370(22):2071–82.

    Article  PubMed  CAS  Google Scholar 

  178. Furukawa T, Taniguchi H, Ando M, Kondoh Y, Kataoka K, Nishiyama O, et al. The St. George’s Respiratory Questionnaire as a prognostic factor in IPF. Respir Res. 2017;18(1):18.

    Article  PubMed  PubMed Central  Google Scholar 

  179. Yorke J, Jones PW, Swigris JJ. Development and validity testing of an IPF-specific version of the St George’s Respiratory Questionnaire. Thorax. 2010;65(10):921–6.

    Article  PubMed  Google Scholar 

  180. Andrich D. Rasch models for measurement: SAGE Publications. Thousand Oaks: SAGE Publications, Inc; 1988.

    Book  Google Scholar 

  181. Patel AS, Siegert RJ, Brignall K, Gordon P, Steer S, Desai SR, et al. The development and validation of the King’s Brief Interstitial Lung Disease (K-BILD) health status questionnaire. Thorax. 2012;67(9):804–10.

    Article  PubMed  Google Scholar 

  182. Patel AS, Siegert RJ, Bajwah S, Brignall K, Gosker HR, Moxham J, et al. Rasch analysis and impact factor methods both yield valid and comparable measures of health status in interstitial lung disease. J Clin Epidemiol. 2015;68(9):1019–27.

    Article  PubMed  Google Scholar 

  183. Yorke J, Spencer LG, Duck A, Ratcliffe S, Kwong GN, Longshaw MS, et al. Cross-Atlantic modification and validation of the A Tool to Assess Quality of Life in Idiopathic Pulmonary Fibrosis (ATAQ-IPF-cA). BMJ Open Respir Res. 2014;1(1):e000024.

    Article  PubMed  PubMed Central  Google Scholar 

  184. Swigris JJ, Andrae DA, Churney T, Johnson N, Scholand MB, White ES, Matsui A, Raimundo K, Evans CJ. Development and initial validation analyses of the living with idiopathic pulmonary fibrosis questionnaire. Am J Respir Crit Care Med. 2020;202(12):1689–97. https://doi.org/10.1164/rccm.202002-0415OC.

    Article  PubMed  PubMed Central  Google Scholar 

  185. Mitchell AJ, Kaar S, Coggan C, Herdman J. Acceptability of common screening methods used to detect distress and related mood disorders-preferences of cancer specialists and non-specialists. Psychooncology. 2008;17:226–36.

    Article  PubMed  Google Scholar 

  186. Finkelstein DM, Schoenfeld DA. Combining mortality and longitudinal measures in clinical trials. Stat Med. 1999;18(11):1341–54.

    Article  CAS  PubMed  Google Scholar 

  187. Overgaard D, Kaldan G, Marsaa K, Nielsen TL, Shaker SB, Egerod I. The lived experience with idiopathic pulmonary fibrosis: a qualitative study. Eur Respir J. 2016;47(5):1472–80.

    Article  PubMed  Google Scholar 

  188. Belkin A, Albright K, Swigris JJ. A qualitative study of informal caregivers’ perspectives on the effects of idiopathic pulmonary fibrosis. BMJ Open Respir Res. 2014;1:e000007.

    Article  PubMed  PubMed Central  Google Scholar 

  189. Schoenheit G, Becattelli I, Cohen AH. Living with idiopathic pulmonary fibrosis: an in-depth qualitative survey of European patients. Chron Respir Dis. 2011;8(4):225–31.

    Article  PubMed  Google Scholar 

  190. Giot C, Maronati M, Becattelli I, Schoenheit G. Idiopathic pulmonary fibrosis: an EU patient perspective survey; 2013.

    Google Scholar 

  191. Duck A, Spencer LG, Bailey S, Leonard C, Ormes J, Caress AL. Perceptions, experiences and needs of patients with idiopathic pulmonary fibrosis. J Adv Nurs. 2015;71:1055–65.

    Article  PubMed  Google Scholar 

  192. Bajwah S, Koffman J, Higginson IJ, Ross JR, Wells AU, Birring SS, et al. ‘I wish I knew more ...’ the end-of-life planning and information needs for end-stage fibrotic interstitial lung disease: views of patients, carers and health professionals. BMJ Support Palliat Care. 2013;3(1):84–90.

    Article  PubMed  Google Scholar 

  193. Sampson C, Gill BH, Harrison NK, Nelson AM, Byrne A. The care needs of patients with idiopathic pulmonary fibrosis and their carers (CaNoPy): results of a qualitative study. BMC Pulm Med. 2015;15:155.

    Article  PubMed  PubMed Central  Google Scholar 

  194. Greenhalgh J, Gooding K, Gibbons E, et al. How do patient reported outcome measures (PROMs) support clinician-patient communication and patient care? A realist synthesis. J Patient Rep Outcomes. 2018;2:42. https://doi.org/10.1186/s41687-018-0061-6.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anne Marie Russell .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Russell, A.M., Saketkoo, L.A. (2021). Patient-Centredness and Patient-Reported Measures (PRMs) in Palliation of Lung Disease. In: Lindell, K.O., Danoff, S.K. (eds) Palliative Care in Lung Disease. Respiratory Medicine. Humana, Cham. https://doi.org/10.1007/978-3-030-81788-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-81788-6_4

  • Published:

  • Publisher Name: Humana, Cham

  • Print ISBN: 978-3-030-81787-9

  • Online ISBN: 978-3-030-81788-6

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics