Feasibility and acceptability of electronic EQ-5D-5L for routine measurement of HRQOL in patients with chronic musculoskeletal problems in Hong Kong primary care

Bullinger M, Anderson R, Cella D, Aaronson N. Developing and evaluating cross-cultural instruments from minimum requirements to optimal models. Qual Life Res. 1993;2(6):451–9.

CAS  PubMed  Article  Google Scholar 

Porter I, Gonçalves-Bradley D, Ricci-Cabello I, Gibbons C, Gangannagaripalli J, Fitzpatrick R, Black N, Greenhalgh J, Valderas JM. Framework and guidance for implementing patient-reported outcomes in clinical practice: evidence, challenges and opportunities. J Comp Effect Res. 2016;5(5):507–19.

Article  Google Scholar 

Crane HM, Lober W, Webster E, Harrington RD, Crane PK, Davis TE, Kitahata MM. Routine collection of patient-reported outcomes in an HIV clinic setting: the first 100 patients. Curr HIV Res. 2007;5(1):109–18.

CAS  PubMed  Article  Google Scholar 

Rolfson O, Kärrholm J, Dahlberg L, Garellick G. Patient-reported outcomes in the Swedish hip arthroplasty register: results of a nationwide prospective observational study. J Bone Jt Surg Br. 2011;93(7):867–75.

CAS  Article  Google Scholar 

Forsberg HH, Nelson EC, Reid R, Grossman D, Mastanduno MP, Weiss LT, et al. Using patient-reported outcomes in routine practice: three novel use cases and implications. J Ambul Care Manage. 2015;38(2):188–95.

PubMed  Article  Google Scholar 

Lindgren J, Wretenberg P, Kärrholm J, Garellick G, Rolfson O. Patient-reported outcome is influenced by surgical approach in total hip replacement: a study of the Swedish hip arthroplasty register including 42 233 patients. Bone Jt J. 2014;96(5):590–6.

Article  Google Scholar 

Donaldson MS. Taking stock of health-related quality-of-life measurement in oncology practice in the United States. JNCI Monogr. 2004;2004(33):155–67.

Article  Google Scholar 

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.

PubMed  Article  Google Scholar 

Lavallee DC, Chenok KE, Love RM, Petersen C, Holve E, Segal CD, Franklin PD. Incorporating patient-reported outcomes into health care to engage patients and enhance care. Health Aff. 2016;35(4):575–82.

Article  Google Scholar 

Van Der Wees PJ, Van Der Nijhuis SMW, Ayanian JZ, Black N, Westert GP, Schneider EC. Integrating the use of patient-reported outcomes for both clinical practice and performance measurement: views of experts from 3 countries. Milbank Q. 2014;92(4):754–75.

Article  Google Scholar 

Turner GM, Litchfield I, Finnikin S, Aiyegbusi OL, Calvert M. General practitioners’ views on use of patient reported outcome measures in primary care: a cross-sectional survey and qualitative study. BMC Fam Pract. 2020;21(1):14.

PubMed  PubMed Central  Article  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):115–23.

PubMed  Article  Google Scholar 

Rabin R, de Charro F. EQ-SD: a measure of health status from the EuroQol Group. Ann Med. 2001;33(5):337–43.

CAS  PubMed  Article  Google Scholar 

Yang Z, Busschbach J, Liu G, Luo N. EQ-5D-5L norms for the urban Chinese population in China. Health Qual Life Outcomes. 2018;16(1):210.

PubMed  PubMed Central  Article  Google Scholar 

Wong EL-Y, Cheung AW-L, Wong AY-K, Xu RH, Ramos-Goñi JM, Rivero-Arias O. Normative profile of health-related quality of life for Hong Kong general population using preference-based instrument EQ-5D-5L. Value Health. 2019;2(8):916–24.

Article  Google Scholar 

Ping W, Zheng J, Niu X, Guo C, Zhang J, Yang H, Shi Y. Evaluation of health-related quality of life using EQ-5D in China during the COVID-19 pandemic. PLoS ONE. 2020;15(6):e0234850.

CAS  PubMed  PubMed Central  Article  Google Scholar 

Luo N, Liu G, Li M, Guan H, Jin X, Rand-Hendriksen K. Estimating an EQ-5D-5L value set for China. Value Health. 2017;20(4):662–9.

PubMed  Article  Google Scholar 

Bagattini ÂM, Camey SA, Miguel SR, Andrade MV, de Souza Noronha KVM, Teixeira MADC, Lima AF, Santos M, Polanczyk CA, Cruz LN. Electronic version of the EQ-5D quality-of-life questionnaire: adaptation to a Brazilian population sample. Value Health Reg Issues. 2018;17:88–93.

PubMed  Article  Google Scholar 

Azzolina D, Minto C, Boschetto S, Martinato M, Bauce B, Iliceto S, Gregori D. Anchoring vignettes in EQ-5D-5L questionnaire: validation of a new instrument. Open Nurs J. 2017;11(1):144–56.

PubMed  PubMed Central  Article  Google Scholar 

Lam CLK, Tse ETY, Wong CKH, Lam JSM, Chen SS, Bedford LE, Cheung JPY, Or CK, Kind P. A pilot study on the validity and psychometric properties of the electronic EQ-5D-5L in routine clinical practice. Health Qual Life Outcomes [Internet]. 2021. https://doi.org/10.1186/s12955-021-01898-3.

Article  Google Scholar 

Taenzer P, Bultz BD, Carlson LE, Speca M, DeGagne T, Olson K, Doll R, Rosberger Z. Impact of computerized quality of life screening on physician behaviour and patient satisfaction in lung cancer outpatients. Psychooncology. 2000;9(3):203–13.

CAS  PubMed  Article  Google Scholar 

Or C, Dohan M, Tan J. Understanding critical barriers to implementing a clinical information system in a nursing home through the lens of a socio-technical perspective. J Med Syst. 2014;38(9):1–10.

PubMed  Article  Google Scholar 

Marten O, Brand L, Greiner W. Feasibility of the EQ-5D in the elderly population: a systematic review of the literature. Qual Life Res. 2021;1–17.

Schrag A, Selai C, Jahanshahi M, Quinn NP. The EQ-5D: a generic quality of life measure—is a useful instrument to measure quality of life in patients with Parkinson’s disease. J Neurol Neurosurg Psychiatry. 2000;69(1):67–73.

CAS  PubMed  PubMed Central  Article  Google Scholar 

Hernar I. Using patient-reported outcome measures (PROMs) in clinical diabetes consultations: feasibility testing and piloting the DiaPROM trial among adults with type 1 diabetes. Bergen Open Res Arch. 2021;1:1–190.

Google Scholar 

Meirte J, Hellemans N, Anthonissen M, Denteneer L, Maertens K, Moortgat P, Van Daele U. Benefits and disadvantages of electronic patient-reported outcome measures: systematic review. JMIR Perioper Med. 2020;3(1):e15588.

PubMed  PubMed Central  Article  Google Scholar 

Rolfson O. Patient-reported outcome measures and health-economic aspects of total hip arthroplasty. Department Of Orthopaedics, Institute of Clinical Sciences Gothenburg: Sahlgrenska Academy, University of Gothenburg. 2010:60.

Mulhern B, O’Gorman H, Rotherham N, Brazier J. Comparing the measurement equivalence of EQ-5D-5L across different modes of administration. Health Qual Life Outcomes. 2015;13(1):1–9.

Article  Google Scholar 

Sekhon M, Cartwright M, Francis JJ. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res. 2017;17(1):1–13.

Article  Google Scholar 

Mullen KH, Barry DL, Zierler BK. Online exclusive-computerized symptom and quality-of-life assessment for patients with cancer part II: acceptability and usability. Oncol Nurs Forum-Oncol Nurs Soc. 2004;31(5):896.

Google Scholar 

Abernethy AP, Herndon JE II, Wheeler JL, Day JM, Hood L, Patwardhan M, Shaw H, Lyerly HK. Feasibility and acceptability to patients of a longitudinal system for evaluating cancer-related symptoms and quality of life: pilot study of an e/Tablet data-collection system in academic oncology. J Pain Symptom Manage. 2009;37(6):1027–38.

PubMed  Article  Google Scholar 

Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;319–40.

Venkatesh V, Bala H. Technology acceptance model 3 and a research agenda on interventions. Decis Sci. 2008;39(2):273–315.

Article  Google Scholar 

Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci. 2000;46(2):186–204.

Article  Google Scholar 

Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. Manage Sci. 1989;35(8):982–1003.

Article  Google Scholar 

Yan M, Or C. A 12-week pilot study of acceptance of a computer-based chronic disease self-monitoring system among patients with type 2 diabetes mellitus and/or hypertension. Health Inf J. 2019;25(3):828–43.

Article  Google Scholar 

Or CK, Karsh B-T. A systematic review of patient acceptance of consumer health information technology. J Am Med Inform Assoc. 2009;16(4):550–60.

PubMed  PubMed Central  Article  Google Scholar 

Buxton J, White M, Osoba D. Patients’ experiences using a computerized program with a touch-sensitive video monitor for the assessment of health-related quality of life. Qual Life Res. 1998;7(6):513–9.

CAS  PubMed  Article  Google Scholar 

Taenzer PA, Speca M, Atkinson MJ, Bultz BD, Page S, Harasym P, Davis JL. Computerized quality-of-life screening in an oncology clinic. Cancer Pract. 1997;5(3):168–75.

CAS  PubMed  Google Scholar 

Census and Statistics Department HKSARG. 2016 Population By-census: thematic report: older persons [Internet]. Hong Kong: Census and Statistics Department HKSARG; 2016 [cited 2022 Aug 25]. https://www.statistics.gov.hk/pub/B11201052016XXXXB0100.pdf.

Census and Statistics Department HKSARG. Usage of information technology and the internet by Hong Kong residents, 2000–2019 [Internet]. Hong Kong: Census and Statistics Department HKSARG; 2020. https://www.statistics.gov.hk/pub/B72010FA2020XXXXB0100.pdf. Accessed 25 Aug 2022.

Wong E, Yeoh E, Slaap B, Tam W, Cheung A, Wong A, Chan D. Validation and valuation of the preference-based healthindex using Eq-5d-5l in the Hong Kong population. Value Health. 2015;18(3):A27.

Article  Google Scholar 

Holland R, Smith RD, Harvey I, Swift L, Lenaghan E. Assessing quality of life in the elderly: a direct comparison of the EQ-5D and AQoL. Health Econ. 2004;13(8):793–805.

PubMed  Article  Google Scholar 

Chen K, Chan AHS. Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM). Ergonomics. 2014;57(5):635–52.

PubMed  Article  Google Scholar 

Santana M-J, Feeny DH. Using the health utilities index in routine clinical care: process, feasibility, and acceptability. Patient: Patient-Cent Outcomes Res. 2009;2(3):159–67.

Article  Google Scholar 

The Government of the Hong Kong Special Administrative Region. LCQ7: consultation time of out-patient services of hospital authority [Internet]. Hong Kong: The Government of the Hong Kong Special Administrative Region; 2017. https://www.info.gov.hk/gia/general/201711/01/P2017110100484.htm. Accessed 25 Aug 2022.

Food and Health Bureau, The Government of the Hong Kong Special Administrative Region. Report of the steering comittee on review of Hospital authority [Internet]. Hong Kong: Food and Health Bureau, The Government of the Hong Kong Special Administrative Region; 2015. https://www.healthbureau.gov.hk/download/committees/harsc/report/en_full_report.pdf. Accessed 25 Aug 2022.

Wright E, Selby P, Crawford M, Gillibrand A, Johnston C, Perren T, Rush R, Smith A, Velikova G, Watson K. Feasibility and compliance of automated measurement of quality of life in oncology practice. J Clin Oncol. 2003;21(2):374–82.

CAS  PubMed 

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