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Gepubliceerd in:

29-09-2020

A randomised online experimental study to compare responses to brief and extended surveys of health-related quality of life and psychosocial outcomes among women with breast cancer

Auteurs: Kerry Ettridge, Joanna Caruso, David Roder, Ivanka Prichard, Katrine Scharling-Gamba, Kathleen Wright, Caroline Miller

Gepubliceerd in: Quality of Life Research | Uitgave 2/2021

Abstract

Purpose

Collecting patient-reported outcomes is important in informing the well-being of women with breast cancer. Consumer perceptions are important for successful implementation of monitoring systems, but are rarely formally assessed. We compared reactions to two different surveys (assessing psychosocial outcomes and/or Health-related Quality of Life (HrQoL) outcomes) among Australian women with breast cancer.

Methods

Women (18 + years) within 5 years diagnosis of breast cancer were randomly allocated to complete one of two online surveys: (i) minimum HrQoL measures or (ii) minimum HrQoL measures plus psychosocial outcomes (body image, depression, anxiety stress, fear of cancer recurrence, decisional difficulties and unmet need). Participants completed questions regarding their perceptions of the survey, including qualitative feedback.

Results

Data were available for 171 participants (n_(i) = 89; n_(ii) = 82), with 92% (n = 158) providing 95–100% complete data. Perceptions were comparable between survey groups, and high (80–100%) regarding time burden, ease of completion, comprehensible, appropriateness and willingness to participate again and moderately high (67–74%) regarding willingness to answer more questions and relevance. Qualitative feedback indicated gaps across both surveys, including financial/work-related issues, satisfaction with information and care, need for nuanced questions, and impact of side effects/treatment, and from the minimum set only, emotional well-being and support. Impairment in some HrQoL and psychosocial outcomes were observed among participants.

Conclusions

Assessment of HrQoL and psychosocial outcomes was well received by consumers. Results alleviate concern regarding possible patient burden imposed by longer more in-depth surveys. The importance placed on assessment brevity should not outweigh the need to assess outcomes that consumers consider important.

vorige artikel A non-compensatory analysis of quality of life in breast cancer survivors using multivariate hidden Markov modeling

volgende artikel Randomized controlled trial of a group intervention combining self-hypnosis and self-care: secondary results on self-esteem, emotional distress and regulation, and mindfulness in post-treatment cancer patients

Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 68(6), 394–424. https://doi.org/10.3322/caac.21492.CrossRef

Australian Institute of Health and Welfare. (2017). Cancer in Australia. Cancer series no 101. Cat. no. 100. Canberra: AIHW.

Australian Institute of Health and Welfare. (2016). BreastScreen Australia monitoring report 2013–2014. Cancer series no. 100. Cat. no. CAN 99. Canberra: AIHW.

Ong, W. L., Schouwenburg, M. G., van Bommel, A. C. M., Stowell, C., Allison, K. H., Benn, K. E., et al. (2017). A standard set of value-based patient-centered outcomes for breast cancer: The international consortium for health outcomes measurement (ICHOM) initiative. JAMA Oncology, 3(5), 677–685. https://doi.org/10.1001/jamaoncol.2016.4851.PubMedCrossRef

Australian Institute of Health and Welfare. (2012). Breast cancer in Australia: an overview. Cat. no. 71. Canberra: Australian Institute of Health and Welfare.

Hu, K., Ding, P., Wu, Y., Tian, W., Pan, T., & Zhang, S. (2019). Global patterns and trends in the breast cancer incidence and mortality according to sociodemographic indices: An observational study based on the global burden of diseases. British Medical Journal Open, 9(10), e028461. https://doi.org/10.1136/bmjopen-2018-028461.CrossRef

Bloom, J. R., & Kessler, L. (1994). Emotional support following cancer: A test of the stigma and social activity hypotheses. Journal of Health and Social Behavior, 35(2), 118–133.PubMedCrossRef

Burgess, C., Cornelius, V., Love, S., Graham, J., Richards, M., & Ramirez, A. (2005). Depression and anxiety in women with early breast cancer: Five year observational cohort study. BMJ, 330(7493), 702. https://doi.org/10.1136/bmj.38343.670868.D3.PubMedPubMedCentralCrossRef

Przezdziecki, A., Sherman, K. A., Baillie, A., Taylor, A., Foley, E., & Stalgis-Bilinski, K. (2013). My changed body: Breast cancer, body image, distress and self-compassion. Psycho-Oncology, 22(8), 1872–1879. https://doi.org/10.1002/pon.3230.PubMedCrossRef

10.

Montazeri, A. (2008). Health-related quality of life in breast cancer patients: A bibliographic review of the literature from 1974 to 2007. Journal of Experimental and Clinical Cancer Research, 27(1), 32. https://doi.org/10.1186/1756-9966-27-32.PubMedCrossRef

11.

Sharma, N., & Purkayastha, A. (2017). Factors affecting quality of life in breast cancer patients: A descriptive and cross-sectional study with review of literature. Journal of Mid-life Health, 8(2), 75. https://doi.org/10.4103/jmh.JMH_15_17.PubMedPubMedCentralCrossRef

12.

Mayo, N. (2015). Dictionary of quality of life and health outcomes measurement. Milwaukee: International Society for Quality of Life Research.

13.

Bloom, J. R., Stewart, S. L., Chang, S., & Banks, P. J. (2004). Then and now: Quality of life of young breast cancer survivors. Psycho-Oncology, 13(3), 147–160. https://doi.org/10.1002/pon.794.PubMedCrossRef

14.

Fitzpatrick, T. R., Edgar, L., & Holcroft, C. (2012). Assessing the relationship between physical fitness activities, cognitive health, and quality of life among older cancer survivors. Journal of Psychosocial Oncology, 30(5), 556–572. https://doi.org/10.1080/07347332.2012.703768.PubMedCrossRef

15.

Mitchell, A. J., Chan, M., Bhatti, H., Halton, M., Grassi, L., Johansen, C., et al. (2011). Prevalence of depression, anxiety, and adjustment disorder in oncological, haematological, and palliative-care settings: A meta-analysis of 94 interview-based studies. Lancet Oncology, 12(2), 160–174. https://doi.org/10.1016/S1470-2045(11)70002-X.PubMedCrossRef

16.

Lagendijk, M., van Egdom, L. S. E., van Veen, F. E. E., Vos, E., Mureau, M., van Leeuwen, N., et al. (2018). Patient-reported outcome measures may add value in breast cancer surgery. Annals of Surgical Oncology, 25(12), 3563–3571. https://doi.org/10.1245/s10434-018-6729-6.PubMedCrossRef

17.

Lagendijk, M., van Egdom, L. S. E., Richel, C., van Leeuwen, N., Verhoef, C., Lingsma, H. F., et al. (2018). Patient reported outcome measures in breast cancer patients. European Journal of Surgical Oncology, 44(7), 963–968. https://doi.org/10.1016/j.ejso.2018.03.009.PubMedCrossRef

18.

Kool, M., van der Sijp, J. R. M., Kroep, J. R., Liefers, G.-J., Jannink, I., Guicherit, O. R., et al. (2016). Importance of patient reported outcome measures versus clinical outcomes for breast cancer patients evaluation on quality of care. The Breast, 27, 62–68. https://doi.org/10.1016/j.breast.2016.02.015.PubMedCrossRef

19.

Sugrue, R., Macgregor, G., Sugrue, M., Curran, S., & Murphy, L. (2013). An evaluation of patient reported outcomes following breast reconstruction utilizing Breast Q. The Breast, 22(2), 158–161. https://doi.org/10.1016/j.breast.2012.12.001.PubMedCrossRef

20.

Ghosh, R. K., Ghosh, S. M., & Ganguly, G. (2010). Health-related quality of life and its growing importance in clinical practice. New Zealand Medical Journal, 123(1313), 99–101.

21.

Wasson, J., Keller, A., Rubenstein, L., Hays, R., Nelson, E., Johnson, D., et al. (1992). Benefits and obstacles of health status assessment in ambulatory settings: The clinician's point of view. Medical Care, 30(5), 42–49.

22.

Wu, A. W., Snyder, C., Clancy, C. M., & Steinwachs, D. M. (2010). Adding the patient perspective to comparative effectiveness research. Journal of Health Affairs, 29(10), 1863–1871.PubMedCrossRef

23.

Van De Poll-Franse, L. V., Horevoorts, N., Eenbergen, M. V., Denollet, J., Roukema, J. A., Aaronson, N. K., et al. (2011). The patient reported outcomes following initial treatment and long term evaluation of survivorship registry: Scope, rationale and design of an infrastructure for the study of physical and psychosocial outcomes in cancer survivorship cohorts. European Journal of Cancer, 47(14), 2188–2194. https://doi.org/10.1016/j.ejca.2011.04.034.PubMedCrossRef

24.

Kelley, T. A. (2015). International consortium for health outcomes measurement (ICHOM). Trials, 16(3), O4.PubMedCentralCrossRef

25.

Black, N. (2013). Patient reported outcome measures could help transform healthcare. BMJ, 346, f167. https://doi.org/10.1136/bmj.f167.PubMedCrossRef

26.

Hu, E. S., Pusic, A. L., Waljee, J. F., Kuhn, L., Hawley, S. T., Wilkins, E., et al. (2009). Patient-reported aesthetic satisfaction with breast reconstruction during the long-term survivorship period. Plastic and Reconstructive Surgery, 124(1), 1. https://doi.org/10.1097/PRS.0b013e3181ab10b2.PubMedCrossRef

27.

Al-Ghazal, S. K., Fallowfield, L., & Blamey, R. W. (2000). Comparison of psychological aspects and patient satisfaction following breast conserving surgery, simple mastectomy and breast reconstruction. European Journal of Cancer, 36(15), 1938–1943. https://doi.org/10.1016/S0959-8049(00)00197-0.PubMedCrossRef

28.

Rabin, C., Leventhal, H., & Goodin, S. (2004). Conceptualization of disease timeline predicts posttreatment distress in breast cancer patients. Health Psychology, 23(4), 407–412. https://doi.org/10.1037/0278-6133.23.4.407.PubMedCrossRef

29.

Holt, S., Bertelli, G., Humphreys, I., Valentine, W., Durrani, S., Pudney, D., et al. (2013). A decision impact, decision conflict and economic assessment of routine Oncotype DX testing of 146 women with node-negative or pNImi, ER-positive breast cancer in the UK. British Journal of Cancer, 108, 2250–2258. https://doi.org/10.1038/bjc.2013.207.PubMedPubMedCentralCrossRef

30.

Martinez, K. A., Li, Y., Resnicow, K., Graff, J. J., Hamilton, A. S., & Hawley, S. T. (2015). Decision regret following treatment for localized breast cancer: Is regret stable over time? Medical Decision Making, 35(4), 446–457. https://doi.org/10.1177/0272989X14564432.PubMedCrossRef

31.

Bower, J. E. (2008). Behavioral symptoms in patients with breast cancer and survivors. Journal of Clinical Oncology, 26(5), 768–777. https://doi.org/10.1200/JCO.2007.14.3248.PubMedPubMedCentralCrossRef

32.

Singh, R., Singh, H., Singh, C., & Kaur, K. (2015). Screening of psychological distress in cancer patients during chemotherapy: A cross-sectional study. Indian Journal of Palliative Care, 21(3), 305–310. https://doi.org/10.4103/0973-1075.164887.PubMedPubMedCentralCrossRef

33.

Prepared by L&M Policy Research, & LLC under Contract No. 290–2014-00004-C. (2018). EBook addendum to registries for evaluating patient outcomes: A user’s guide. In R. E. Gliklich, N. A. Dreyer, M. B. Leavy, & J. B. Christian (Eds.), Registries for evaluating patient outcomes: A user’s guide (3rd ed.). Rockville, MD: Agency for Healthcare Research and Quality.

34.

Wiering, B., de Boer, D., & Delnoij, D. (2017). Patient involvement in the development of patient-reported outcome measures: A scoping review. Health Expectations, 20(1), 11–23. https://doi.org/10.1111/hex.12442.PubMedCrossRef

35.

Camuso, N., Bajaj, P., Dudgeon, D., & Mitera, G. (2016). Engaging patients as partners in developing patient-reported outcome measures in cancer—A review of the literature. Supportive Care in Cancer, 24(8), 3543–3549.PubMedCrossRef

36.

Mitchell, A. J., Vahabzadeh, A., & Magruder, K. (2011). Screening for distress and depression in cancer settings: 10 lessons from 40 years of primary-care research. Psycho-Oncology, 20(6), 572–584. https://doi.org/10.1002/pon.1943.PubMedCrossRef

37.

Pobiruchin, M., Bochum, S., Martens, U. M., & Schramm, W. (2016). Clinical cancer registries—Are they up for health services research? Studies in Health Technology and Informatics, 228, 242–246.PubMed

38.

Parkin, D. M. (2006). The evolution of the population-based cancer registry. Nature Reviews: Cancer, 6, 603. https://doi.org/10.1038/nrc1948.PubMedCrossRef

39.

Rajaram, N., Lim, Z. Y., Song, C. V., Kaur, R., Mohd Taib, N. A., Muhamad, M., et al. (2019). Patient-reported outcome measures among breast cancer survivors: A cross-sectional comparison between Malaysia and high-income countries. Psycho-Oncology, 28(1), 147–153. https://doi.org/10.1002/pon.4924.PubMedCrossRef

40.

Oh, D. D., Flitcroft, K., Brennan, M. E., Snook, K. L., & Spillane, A. J. (2018). Patient-reported outcomes of breast reconstruction in older women: Audit of a large metropolitan public/private practice in Sydney, Australia. Psycho-Oncology, 27(12), 2815–2822. https://doi.org/10.1002/pon.4895.PubMedCrossRef

41.

Qualtrics. (2018). Provo. Utah: Qualtrics.

42.

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.PubMedCrossRef

43.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.CrossRef

44.

Harrison Health Research. (2012). The health omnibus survey spring 2012. Adelaide: Harrison Health Research.

45.

Australian Bureau of Statistics (2018). Methods, Classifications, Concepts & Standards. Retrieved February, 2019 from https://www.abs.gov.au/websitedbs/D3310114.nsf/home/Basic+Survey+Design+-+Introduction.

46.

Aaronson, N. K., Ahmedzai, S., Bergman, B., Bullinger, M., Cull, A., Duez, N. J., et al. (1993). The European Organization for Research and Treatment of Cancer QLQ-C30: A quality-of-life instrument for use in international clinical trials in oncology. Journal of the National Cancer Institute, 85(5), 365–376. https://doi.org/10.1093/jnci/85.5.365.PubMedCrossRef

47.

McLachlan, S. A., Devins, G. M., & Goodwin, P. J. (1998). Validation of the European organization for research and treatment of cancer quality of life questionnaire (QLQ-C30) as a measure of psychosocial function in breast cancer patients. European Journal of Cancer, 34(4), 510–517.PubMedCrossRef

48.

Groenvold, M., Klee, M. C., Sprangers, M. A. G., & Aaronson, N. K. (1997). Validation of the EORTC QLQ-C30 quality of life questionnaire through combined qualitative and quantitative assessment of patient-observer agreement. Journal of Clinical Epidemiology, 50(4), 441–450. https://doi.org/10.1016/S0895-4356(96)00428-3.PubMedCrossRef

49.

Charalambous, A., Kaite, C. P., Charalambous, M., Tistsi, T., & Kouta, C. (2017). The effects on anxiety and quality of life of breast cancer patients following completion of the first cycle of chemotherapy. SAGE Open Medicine, 5, 1–10. https://doi.org/10.1177/2050312117717507.CrossRef

50.

Aranda, S., Schofield, P., Weih, L., Yates, P., Milne, D., Faulkner, R., et al. (2005). Mapping the quality of life and unmet needs of urban women with metastatic breast cancer. European Journal of Cancer Care, 14(3), 211–222. https://doi.org/10.1111/j.1365-2354.2005.00541.x.PubMedCrossRef

51.

Sprangers, M. A., Groenvold, M., Arraras, J. I., Franklin, J., te Velde, A., Muller, M., et al. (1996). The European organization for research and treatment of cancer breast cancer-specific quality-of-life questionnaire module: First results from a three-country field study. Journal of Clinical Oncology, 14(10), 2756–2768. https://doi.org/10.1200/JCO.1996.14.10.2756.PubMedCrossRef

52.

Tan, M. L., Idris, D. B., Teo, L. W., Loh, S. Y., Seow, G. C., Chia, Y. Y., et al. (2014). Validation of EORTC QLQ-C30 and QLQ-BR23 questionnaires in the measurement of quality of life of breast cancer patients in Singapore. Asia-Pacific Journal of Oncology Nursing, 1(1), 22–32. https://doi.org/10.4103/2347-5625.135817.PubMedPubMedCentralCrossRef

53.

Nguyen, J., Popovic, M., Chow, E., Cella, D., Beaumont, J. L., Chu, D., et al. (2015). EORTC QLQ-BR23 and FACT-B for the assessment of quality of life in patients with breast cancer: A literature review. Journal of Comparative Effectiveness Research, 4, 157–166.PubMedCrossRef

54.

Fallowfield, L. J., Leaity, S. K., Howell, A., Benson, S., & Cella, D. (1999). Assessment of quality of life in women undergoing hormonal therapy for breast cancer: Validation of an endocrine symptom subscale for the FACT-B. Breast Cancer Research and Treatment, 55(2), 189.PubMedCrossRef

55.

Hickey, M., Marino, J. L., Braat, S., & Wong, S. (2016). A randomized, double-blind, crossover trial comparing a silicone-versus water-based lubricant for sexual discomfort after breast cancer. Breast Cancer Research and Treatment, 158(1), 79–90. https://doi.org/10.1007/s10549-016-3865-1.PubMedCrossRef

56.

Marino, J. L., Saunders, C. M., Emery, L. I., Green, H., Doherty, D. A., & Hickey, M. (2013). Nature and severity of menopausal symptoms and their impact on quality of life and sexual function in cancer survivors compared with women without a cancer history. Menopause. https://doi.org/10.1097/GME.0b013e3182976f46.CrossRef

57.

Kavadas, V., Blazeby, J. M., Conroy, T., Sezer, O., Holzner, B., Koller, M., et al. (2003). Development of an EORTC disease-specific quality of life questionnaire for use in patients with liver metastases from colorectal cancer. European Journal of Cancer, 39(9), 1259–1263. https://doi.org/10.1016/S0959-8049(03)00236-3.PubMedCrossRef

58.

Pusic, A. L., Klassen, A. F., Scott, A. M., Klok, J. A., Cordeiro, P. G., & Cano, S. J. (2009). Development of a new patient-reported outcome measure for breast surgery: The BREAST-Q. Plastic and Reconstructive Surgery, 124(2), 345. https://doi.org/10.1097/PRS.0b013e3181aee807.PubMedCrossRef

59.

Liu, L. Q., Branford, O. A., & Mehigan, S. (2018). BREAST-Q measurement of the patient perspective in oncoplastic breast surgery: A systematic review. Plastic and Reconstructive Surgery Global Open, 6(8), e1904. https://doi.org/10.1097/gox.0000000000001904.PubMedPubMedCentralCrossRef

60.

Hopwood, P., Fletcher, I., Lee, A., & Al Ghazal, S. (2001). A body image scale for use with cancer patients. European Journal of Cancer, 37(2), 189–197.PubMedCrossRef

61.

Muzzatti, B., & Annunziata, M. (2017). Body image assessment in oncology: An update review. Supportive Care in Cancer, 25(3), 1019–1029. https://doi.org/10.1007/s00520-016-3538-y.PubMedCrossRef

62.

Tylka, T. L., & Wood-Barcalow, N. L. (2015). The body appreciation scale-2: Item refinement and psychometric evaluation. Body Image, 12(1), 53–67. https://doi.org/10.1016/j.bodyim.2014.09.006.PubMedCrossRef

63.

Alleva, J. M., Tylka, T. L., & Kroon Van Diest, A. M. (2017). The functionality appreciation scale (FAS): Development and psychometric evaluation in U.S. community women and men. Body Image, 23, 28–44. https://doi.org/10.1016/j.bodyim.2017.07.008.CrossRef

64.

Lerman, C., Daly, M., Masny, A., & Balshem, A. (1994). Attitudes about genetic testing for breast-ovarian cancer susceptibility. Journal of Clinical Oncology, 12(4), 843–850. https://doi.org/10.1200/JCO.1994.12.4.843.PubMedCrossRef

65.

O'Connor, A. M. (1995). Validation of a decisional conflict scale. Medical Decision Making, 15(1), 25–30. https://doi.org/10.1177/0272989X9501500105.PubMedCrossRef

66.

Kim, S., Lee, Y., Son, Y., Jun, S., Yun, S., Bae, H., et al. (2015). Assessment of breast cancer patients' knowledge and decisional conflict regarding Tamoxifen use. Journal of Korean Medical Science, 30(11), 1604–1610. https://doi.org/10.3346/jkms.2015.30.11.1604.PubMedPubMedCentralCrossRef

67.

Brehaut, J. C., O'Connor, A. M., Wood, T. J., Hack, T. F., Siminoff, L., Gordon, E., et al. (2003). Validation of a decision regret scale. Medical Decision Making, 23(4), 281–292. https://doi.org/10.1177/0272989x03256005.PubMedCrossRef

68.

Vickers, A. J. (2017). Decisional conflict, regret, and the burden of rational decision making. Medical Decision Making, 37(1), 3–5. https://doi.org/10.1177/0272989X16657544.PubMedPubMedCentralCrossRef

69.

Wang, A. W.-T., Chang, S.-M., Chang, C.-S., Chen, S.-T., Chen, D.-R., Fan, F., et al. (2018). Regret about surgical decisions among early-stage breast cancer patients: Effects of the congruence between patients' preferred and actual decision-making roles. Psycho-Oncology, 27(2), 508–514. https://doi.org/10.1002/pon.4522.PubMedCrossRef

70.

Lovibond, S. H. (1995). Manual for the depression anxiety stress scales. In P. F. Lovibond (Ed.), Manual for the DASS (2nd ed.). Sydney: Psychology Foundation of Australia.

71.

Bener, A., Alsulaiman, R., Lg, D., & Ayoubi Hr, E. (2016). Comparison of reliability and validity of the breast cancer depression anxiety stress scales (DASS-21) with the beck depression inventory-(BDI-II) and Hospital Anxiety and Depression Scale (HADS). International Journal of Behavioral Research & Psychology, 4(4), 197–203. https://doi.org/10.19070/2332-3000-1600035.CrossRef

72.

Bastien, C., Vallieres, A., & Morin, C. (2001). Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Medicine, 2001(2), 297–307.CrossRef

73.

Reinsel, R., Starr, T., O'Sullivan, B., Passik, S. D., & Kavey, N. (2015). Polysomnographic study of sleep in survivors of breast cancer. Journal of Clinical Sleep Medicine, 11(12), 1361–1370. https://doi.org/10.5664/jcsm.5264.PubMedPubMedCentralCrossRef

74.

Savard, J., Ivers, H., Savard, M.-H., & Morin, C. M. (2014). Is a video-based cognitive behavioral therapy for insomnia as efficacious as a professionally administered treatment in breast cancer? Results of a randomized controlled trial. Sleep, 37(8), 1305. https://doi.org/10.5665/sleep.3918.PubMedPubMedCentralCrossRef

75.

Desai, K., Mao, J., Su, I., DeMichele, A., Li, Q., Xie, S., et al. (2013). Prevalence and risk factors for insomnia among breast cancer patients on aromatase inhibitors. Supportive Care in Cancer, 21(1), 43–51. https://doi.org/10.1007/s00520-012-1490-z.PubMedCrossRef

76.

Girgis, A., Stojanovski, E., Boyes, A., King, M., & Lecathelinais, C. (2012). The next generation of the supportive care needs survey: A brief screening tool for administration in the clinical oncology setting. Psycho-Oncology, 21(8), 827–835. https://doi.org/10.1002/pon.1973.PubMedCrossRef

77.

Renovanz, M., Hickmann, A.-K., Coburger, J., Kohlmann, K., Janko, M., Reuter, A. K., et al. (2016). Assessing psychological and supportive care needs in glioma patients—Feasibility study on the use of the supportive care needs survey short form (SCNS-SF34-G) and the supportive care needs survey screening tool (SCNS-ST9) in clinical practice. European Journal of Cancer Care, 27(1), e12598. https://doi.org/10.1111/ecc.12598.CrossRef

78.

Girgis, A., Durcinoska, I., Levesque, J. V., Gerges, M., Sandell, T., Arnold, A., et al. (2017). eHealth system for collecting and utilizing patient reported outcome measures for personalized treatment and care (PROMPT-Care) among cancer patients: Mixed methods approach to evaluate feasibility and acceptability. Journal of Medical Internet Research, 19(10), e330. https://doi.org/10.2196/jmir.8360.PubMedPubMedCentralCrossRef

79.

Australian Institute of Health and Welfare. (2018). Analysis of breast cancer outcomes and screening behaviour for BreastScreen Australia. (Vol. Cancer series no. 113. Cat. no. CAN 118). Canberra: AIHW.

80.

Howes, B. H. L., Watson, D. I., Xu, C., Fosh, B., Canepa, M., & Dean, N. R. (2016). Quality of life following total mastectomy with and without reconstruction versus breast-conserving surgery for breast cancer: A case-controlled cohort study. Journal of Plastic, Reconstructive & Aesthetic Surgery, 69(9), 1184–1191. https://doi.org/10.1016/j.bjps.2016.06.004.CrossRef

81.

Bidstrup, P. E., Christensen, J., Mertz, B. G., Rottmann, N., Dalton, S. O., & Johansen, C. (2015). Trajectories of distress, anxiety, and depression among women with breast cancer: Looking beyond the mean. Acta Oncologica, 54(5), 789–796. https://doi.org/10.3109/0284186X.2014.1002571.PubMedCrossRef

82.

Corsini, N., Fish, J., Ramsey, I., Sharplin, G., Flight, I., Damarell, R., et al. (2017). Cancer survivorship monitoring systems for the collection of patient-reported outcomes: A systematic narrative review of international approaches. Journal of Cancer Survivorship, 11(4), 486–497. https://doi.org/10.1007/s11764-017-0607-2.PubMedCrossRef

83.

Chan, R. J., Gordon, L. G., Tan, C. J., Chan, A., Bradford, N. K., Yates, P., et al. (2019). Relationships between financial toxicity and symptom burden in cancer survivors: A systematic review. Journal of Pain and Symptom Management, 57(3), 646–660.e641. https://doi.org/10.1016/j.jpainsymman.2018.12.003.PubMedCrossRef

84.

Gordon, L. G., Merollini, K. M. D., Lowe, A., & Chan, R. J. (2017). A systematic review of financial toxicity among cancer survivors: We can’t pay the co-pay. The Patient Patient-Centred Outcomes Research, 10(3), 295–309. https://doi.org/10.1007/s40271-016-0204-x.CrossRef

85.

De Souza, J. A., Yap, B. J., Hlubocky, F. J., Wroblewski, K., Ratain, M. J., Cella, D., et al. (2014). The development of a financial toxicity patient-reported outcome in cancer: The COST measure. Cancer, 120(20), 3245–3253. https://doi.org/10.1002/cncr.28814.PubMedCrossRef

86.

Boyes, A., Girgis, A., & Lecathelinais, C. (2009). Brief assessment of adult cancer patients' perceived needs: Development and validation of the 34-item Supportive Care Needs Survey (SCNS-SF34). Journal of Evaluation in Clinical Practice, 15(4), 602–606. https://doi.org/10.1111/j.1365-2753.2008.01057.x.PubMedCrossRef

87.

Lee, T. S., Kilbreath, S. L., Refshauge, K. M., Pendlebury, S. C., Beith, J. M., & Lee, M. J. (2008). Quality of life of women treated with radiotherapy for breast cancer. Supportive Care in Cancer, 16(4), 399–405. https://doi.org/10.1007/s00520-007-0328-6.PubMedCrossRef

88.

Active internet users as a percentage of the total population in Australia 2015 to 2018. (2018). Retrieved April 14, 2020 from https://www.statista.com/statistics/680142/australia-internet-penetration/.

89.

Perry, S., Kowalski, T. L., & Chang, C. H. (2007). Quality of life assessment in women with breast cancer: Benefits, acceptability and utilization. Health and Quality of Life Outcomes, 5, 24. https://doi.org/10.1186/1477-7525-5-24.PubMedPubMedCentralCrossRef

Titel: A randomised online experimental study to compare responses to brief and extended surveys of health-related quality of life and psychosocial outcomes among women with breast cancer
Auteurs: Kerry Ettridge
Joanna Caruso
David Roder
Ivanka Prichard
Katrine Scharling-Gamba
Kathleen Wright
Caroline Miller
Publicatiedatum: 29-09-2020
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 2/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-020-02651-x

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusions

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