Decision Aids for Decision Making about Locally Advance Breast Cancer: A Systematic Review

被引:2
作者
Maes-Carballo, Marta [1 ,2 ,3 ,9 ]
Martin-Diaz, Manuel [4 ]
Garcia-Garcia, Manuel [1 ,5 ]
Reinoso-Hermida, Ayla [1 ]
Mignini, Luciano [5 ]
Teixeira-Arcaya, Rebeca Patricia [6 ]
Khan, Khalid Saeed [3 ,7 ]
Bueno-Cavanillas, Aurora [3 ,7 ,8 ]
机构
[1] Complexo Hosp Ourense, Dept Gen Surg, Breast Canc Unit, Orense, Spain
[2] Hosp Publ Verin, Dept Gen Surg, Orense, Spain
[3] Univ Granada, Dept Prevent Med & Publ Hlth, Granada, Spain
[4] Hosp Santa Ana Motril, Dept Gen Surg, Granada, Spain
[5] Unidad Mastol Grp Orono, Dept Cirugia Gen, Rosario, Argentina
[6] Univ Santiago Compostela, Dept Gen Surg, Santiago, Spain
[7] CIBER Epidemiol & Publ Hlth CIBERESP, Madrid, Spain
[8] Inst Invest Biosanit IBS, Granada, Spain
[9] Dept Gen Surg, Calle Ramon Puga Noguerol, 54, Orense 32005, Spain
关键词
Shared decision making; decision aid; decision support tools; breast cancer; breast cancer treatment; locally advanced cancer; RANDOMIZED CONTROLLED-TRIAL; ADJUVANT THERAPY; MANAGEMENT; MODEL;
D O I
10.1080/07357907.2023.2164895
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Locally advanced breast cancer (LABC) is a subset of breast cancer with locoregional progression without distant metastasis. The multimodality treatment (surgery, chemotherapy, radiotherapy, hormonal and targeted therapy if required) could significantly improve results in this specific group of patients. The complex and multiple options of treatment with similar mortality rates but different outcomes depending on the patient's desires, preferences and social environment require aid to facilitate the individual patient's decisions (e.g. Decision Aids (DAs) targeting patients considering primary or adjuvant treatment in LABC). In this context, DAs have been proven fundamental to help patients and clinicians share and agree on the best value option. The current systematic review aimed to evaluate the existing DAs related to these patients with LABC and identify current status and possible improvement areas (possible scarcity and heterogeneity of instruments, the status of their development, explanation of their purpose, horizontal ellipsis ). No previous systematic reviews have been published on this topic. Following Prospero registration no: CRD42021286173, studies about LABC DAs were identified, without data or language restrictions, through a systematic search of bibliographic databases in December 2021. Quality was assessed using Qualsyst criteria (range 0.0-1.0). The quality of the 17 selected studies ranged from 0.46 to 0.95. Of them, 14/17 (82%) were DAs about treatment, only one (6%) about diagnosis, and 2/17 (12%) about the employment of DAs. No screening or follow-up DAs were retrieved. Twelve (70.6%) DAs were online tools. They varied broadly regarding their characteristics and purposes. Most of the studies focused on developing and testing different DAs (5/17; 29.4%) and their impact (7/17; 41.2%). Only 4/17 (23.5%) analysed their implementation and cost. These instruments have proven to improve patient's knowledge and decision-making, decrease patient anxiety, and patients tend to undergo treatment. However, nowadays, there is still a need for further research and consensus on methodology to develop practical DAs.
引用
收藏
页码:292 / 304
页数:13
相关论文
共 52 条
  • [1] Acebal Blanco M, 2011, Cancer de mama: proceso asistencial integrado
  • [2] SPOTLIGHT: PATIENT CENTRED CARE Decision aids that really promote shared decision making: the pace quickens
    Agoritsas, Thomas
    Heen, Anja Fog
    Brandt, Linn
    Alonso-Coello, Pablo
    Kristiansen, Annette
    Akl, Elie A.
    Neumann, Ignacio
    Tikkinen, Kari A. O.
    van der Weijden, Trudy
    Elwyn, Glyn
    Montori, Victor M.
    Guyatt, Gordon H.
    Vandvik, Per Olav
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2015, 350
  • [3] [Anonymous], 2019, Global Health Observatory
  • [4] Impact of decision aids in a sustained implementation at a breast care center
    Belkora, Jeffrey K.
    Volz, Shelley
    Teng, Alexandra E.
    Moore, Dan H.
    Loth, Meredith K.
    Sepucha, Karen R.
    [J]. PATIENT EDUCATION AND COUNSELING, 2012, 86 (02) : 195 - 204
  • [5] Does Use of the Adjuvant! Model Influence Use of Adjuvant Therapy Through Better Risk Communication?
    Belkora, Jeffrey K.
    Hutton, David W.
    Moore, Dan H.
    Siminoff, Laura A.
    [J]. JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK, 2011, 9 (07): : 707 - 712
  • [6] [Anonymous], 2020, CA Cancer J Clin, V70, P313, DOI [10.3322/caac.21492, 10.3322/caac.21609]
  • [7] 5th ESO-ESMO international consensus guidelines for advanced breast cancer (ABC 5)
    Cardoso, F.
    Paluch-Shimon, S.
    Senkus, E.
    Curigliano, G.
    Aapro, M. S.
    Andre, F.
    Barrios, C. H.
    Bergh, J.
    Bhattacharyya, G. S.
    Biganzoli, L.
    Boyle, F.
    Cardoso, M-J
    Carey, L. A.
    Cortes, J.
    El Saghir, N. S.
    Elzayat, M.
    Eniu, A.
    Fallowfield, L.
    Francis, P. A.
    Gelmon, K.
    Gligorov, J.
    Haidinger, R.
    Harbeck, N.
    Hu, X.
    Kaufman, B.
    Kaur, R.
    Kiely, B. E.
    Kim, S-B
    Lin, N. U.
    Mertz, S. A.
    Neciosup, S.
    Offersen, B., V
    Ohno, S.
    Pagani, O.
    Prat, A.
    Penault-Llorca, F.
    Rugo, H. S.
    Sledge, G. W.
    Thomssen, C.
    Vorobiof, D. A.
    Wiseman, T.
    Xu, B.
    Norton, L.
    Costa, A.
    Winer, E. P.
    [J]. ANNALS OF ONCOLOGY, 2020, 31 (12) : 1623 - 1649
  • [8] Empowering Latina breast cancer patients to make informed decisions about clinical trials: a pilot study
    Chalela, Patricia
    Munoz, Edgar
    Gallion, Kipling J.
    Kaklamani, Virginia
    Ramirez, Amelie G.
    [J]. TRANSLATIONAL BEHAVIORAL MEDICINE, 2018, 8 (03) : 439 - 449
  • [9] Novel Strategies on Personalized Medicine for Breast Cancer Treatment: An Update
    Chan, Carmen W. H.
    Law, Bernard M. H.
    So, Winnie K. W.
    Chow, Ka Ming
    Waye, Mary M. Y.
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 18 (11):
  • [10] Implementing shared decision-making: consider all the consequences
    Elwyn, Glyn
    Frosch, Dominick L.
    Kobrin, Sarah
    [J]. IMPLEMENTATION SCIENCE, 2016, 11