Skip to main content

Abstract

Aim: Breast cancer is a leading cause of cancer among women. Because guidelines on screening for breast cancer for certain ages are controversial, many experts advocate the use of shared decision making (SDM) using validated decision aids (DAs). Recent studies have concluded that DAs are beneficial; however, the results have great heterogeneity. Therefore, further studies are needed to improve understanding of these tools. Objective: This systematic review and meta-analysis aimed to investigate the impact of using web-based DAs in women aged 50 years and below facing the decision to be screened for breast cancer in comparison with usual care. Methods: PubMed, Web of Science, Embase and the Cochrane CENTRAL databases were searched up to February 2020 for studies assessing web-based DAs for women making a breast cancer screening decision and reported quality of decision-making outcomes. Using a random-effects model or a fixed-effects model, meta-analyses were conducted pooling results using mean differences (MD), standardized mean differences (SMD) and relative risks (RR). Results: Of 1097 unique citations, three randomized controlled trials and two before–after studies met the study eligibility criteria. Compared with usual care, web-based DAs increased knowledge (SMD = 0.69; 95% CI: 0.57–0.80; p < 0.00001), reduced decision conflict and increased the proportion of women who made an informed choice (RR = 1.86; 95% CI: 1.38 to 2.50; p < 0.0001), but did not change the intention of women deciding to be screened or affect decision regret. Conclusion: This analysis showed the positive effect of web-based DAs on patient-centered outcomes in breast cancer screening. In the future, more internet devices and free or larger discount WI-FI should be established to ensure more women can benefit from this effective tool.

Supplementary Material

File (suppl_file.docx)

References

Papers of special note have been highlighted as: • of interest; •• of considerable interest
1.
Lauby-Secretan B, Scoccianti C, Loomis D et al. Breast cancer screening – viewpoint of the IARC Working Group. N. Engl. J. Med. 372(24), 2353–2358 (2015).
•• The pros and cons of breast cancer screening
2.
Lannin DR. Effect of screening mammography on breast cancer incidence. N. Engl. J. Med. 368(7), 677–678 (2013).
•• The pros and cons of breast cancer screening
3.
Myers ER, Moorman P, Gierisch JM et al. Benefits and harms of breast cancer screening: a systematic review. JAMA 314(15), 1615–1634 (2015).
•• The pros and cons of breast cancer screening.
4.
Mandelblatt JS. Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms. Ann. Intern. Med. 151(10), 738 (2009).
•• The pros and cons of breast cancer screening
5.
Bond M, Garside R, Hyde C. A crisis of visibility: the psychological consequences of false-positive screening mammograms, an interview study. Br. J. Health Psychol. 20(4), 792–806 (2015).
•• The pros and cons of breast cancer screening
6.
Brodersen J, Schwartz LM, Heneghan C et al. Overdiagnosis: what it is and what it isn't. BMJ Evid. Based Med. 23(1), 1–3 (2018).
•• The pros and cons of breast cancer screening
7.
Qaseem A, Lin JS, Mustafa RA et al. Screening for breast cancer in average-risk women: a guidance statement from the American College of Physicians. Ann. Intern. Med. 170(8), 547–560 (2019).
•• The pros and cons of breast cancer screening
8.
Kerlikowske K, Zhu W, Hubbard RA et al. Breast Cancer Surveillance Consortium. Outcomes of screening mammography by frequency, breast density, and postmenopausal hormone therapy. JAMA Intern. Med. 173(9), 807–816 (2013).
•• The pros and cons of breast cancer screening
9.
Hubbard RA, Kerlikowske K, Flowers CI et al. Cumulative probability of false-positive recall or biopsy recommendation after 10 years of screening mammography: a cohort study. Ann. Intern. Med. 155(8), 481–492 (2011).
•• The pros and cons of breast cancer screening
10.
Waller J, Osborne K, Wardle J. Enthusiasm for cancer screening in Great Britain: a general population survey. Br. J. Cancer 112(3), 562–566 (2015).
•• The pros and cons of breast cancer screening
11.
Sutkowi-Hemstreet A, Vu M, Harris R et al. Adult patients' perspectives on the benefits and harms of overused screening tests: a qualitative study. J. Gen. Intern. Med. 30(11), 1618–1626 (2015).
•• The pros and cons of breast cancer screening
12.
Allen SV, Nes LS, Marnach ML et al. Patient understanding of the revised USPSTF screening mammogram guidelines: need for development of patient decision aids. BMC Womens Health 12, 36 (2012).
•• The pros and cons of breast cancer screening
13.
Nelson HD, Pappas M, Cantor A et al. Harms of breast cancer screening: systematic review to update the 2009 U.S. Preventive Services Task Force recommendation. Ann. Intern. Med. 164(4), 256 (2016).
•• The current status of screening guidelines
14.
Qaseem A, Lin JS, Mustafa RA et al. Screening for breast cancer in average-risk women: a guidance statement from the American College of Physicians. Ann. Intern. Med. 170(8), 547–560 (2019).
•• The current status of screening guidelines
15.
Oeffinger KC, Fontham ETH, Etzioni R et al. Breast cancer screening for women at average risk: 2015 guideline update from the American Cancer Society. JAMA 314(15), 1599–1614 (2015).
•• The current status of screening guidelines
16.
Mango V, Bryce Y, Morris EA et al. ACOG practice bulletin July 2017: breast cancer risk assessment and screening in average-risk women. Br. J. Radiol. 91(1090), 20170907 (2018).
•• The current status of screening guidelines
17.
Klarenbach S, Sims-Jones N, Lewin G et al. Recommendations on screening for breast cancer in women aged 40–74 years who are not at increased risk for breast cancer. Can. Med. Assoc. J. 190(49), E1441–E1451 (2018).
•• the current status of screening guidelines
18.
Elwyn G, O'Connor A, Stacey D et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ 333(7565), 417 (2006).
•• A quality criteria framework for patient decision aids
19.
Stacey D, Légaré F, Lewis K et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst. Rev. 4(4), CD001431 (2017).
•• Application effect of decision aids
20.
Hoffman AS, Volk RJ, Saarimaki A et al. Delivering patient decision aids on the internet: definitions, theories, current evidence, and emerging research areas. BMC Med. Inform. Decis. Mak. 13(Suppl. 2), S13 (2013).
• Overview of web-based decision aids
21.
Rose AS, Tosteson ANA. Shared Decision Making. Encyclopedia of Medical Decision Making. Kattan MW (Ed.). 1036–1041 Sage Publications, CA, USA (2009).
• Overview of web-based decision aids
22.
Syrowatka A, Krömker D, Meguerditchian AN, Tamblyn R. Features of computer-based decision aids: systematic review, thematic synthesis, and meta-analyses. J. Med. Internet Res. 18(1), e20 (2016).
• Overview of web-based decision aids
23.
Liberati A, Altman DG, Tetzlaff J et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ 339, b2700 (2009).
• Methodology of meta analysis
24.
Elwyn G, O'Connor AM, Bennett C et al. Assessing the quality of decision support technologies using the International Patient Decision Aid Standards instrument (IPDASi). PLoS ONE 4(3), e4705 (2009).
• Methodology of meta analysis
25.
Baptista S, Sampaio ET, Heleno B et al. Web-based versus usual care and other formats of decision aids to support prostate cancer screening decisions: systematic review and meta-analysis. J. Med. Internet Res. 20(6), e228 (2018).
• Methodology of meta analysis
26.
Higgins J, Green S. Cochrane Collaboration. Cochrane Handbook for Systematic Reviews for Interventions. Cochrane Database Syst. Rev. 2011(2), S38 (2011).
• Methodology of meta analysis
27.
Sterne JA, Hernan MA, Reeves BC et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ 355, i4919 (2016).
• Methodology of meta analysis
28.
Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics 50(4), 1088–1101 (1995).
• Methodology of meta analysis
29.
Mathieu E, Barratt AL, McGeechan K, Davey HM, Howard K, Houssami N. Helping women make choices about mammography screening: an online randomized trial of a decision aid for 40-year-old women. Patient Educ Couns. 81(1), 63–72 (2010).
• Detailed content of web-based decision aids
30.
Maren R, Petra K. Does a decision aid improve informed choice in mammography screening? Results from a randomised controlled trial. PLoS ONE 12(12), e0189148 (2017).
• Detailed content of web-based decision aids
31.
Schapira MM, Hubbard RA, Seitz HH et al. The impact of a risk-based breast cancer screening decision aid on initiation of mammography among younger women: report of a randomized trial. MDM Policy Pract. 4(1), 2381468318812889 (2019).
• Detailed content of web-based decision aids
32.
Eden KB, Scariati P, Klein K et al. Mammography decision aid reduces decisional conflict for women in their forties considering screening. J. Womens Health (Larchmt). 24(12), 1013–1020 (2015).
• Detailed content of web-based decision aids
33.
Scariati P, Nelson L, Watson L, Bedrick S, Eden KB. Impact of a decision aid on reducing uncertainty: pilot study of women in their 40s and screening mammography. BMC Med. Inform. Decis. Mak. 15, 89 (2015).
• Detailed content of web-based decision aids
34.
Zillmann D. Exemplification effects in the promotion of safety and health. J. Commun. 56(S1), S221–S237 (2006).
• Detailed content of web-based decision aids
35.
Mundorf N, Zillmann D. Effects of story sequencing on affective reactions to broadcast news. J. Broadcast. Electron. Media 35(2), 197–211 (1991).
• Detailed content of web-based decision aids
36.
Tversky A, Kahneman D. Judgment under uncertainty: heuristics and biases. Science 185(4157), 17–34 (1974).
• Detailed content of web-based decision aids
37.
Tversky A, Kahneman D. The framing of decisions and the psychology of choice. Science 211(4481), 453–458 (1981).
• Detailed content of web-based decision aids
38.
Durand MA, Stiel M, Boivin J et al. Where is the theory? Evaluating the theoretical frameworks described in decision support technologies. Patient Educ. Couns. 71(1), 125–135 (2008).
• Detailed content of web-based decision aids
39.
Frosch DL, Legare F, Fishbein M, Elwyn G. Adjuncts or adversaries to shared decision-making? Applying the integrative model of behavior to the role and design of decision support interventions in healthcare interactions. Implement Sci. 4, 73 (2009).
• Detailed content of web-based decision aids
40.
Marteau TM, Dormandy E, Michie S. A measure of informed choice. Health Expect. 4(2), 99–108 (2001).
• Detailed content of web-based decision aids
41.
Linder SK, Swank PR, Vernon SW, Mullen PD, Morgan RO, Volk RJ. Validity of a low literacy version of the Decisional Conflict Scale. Patient Educ. Couns. 85(3), 521–524 (2011).
• Detailed content of web-based decision aids
42.
O'Connor AM. Validation of a decisional conflict scale. Med. Decis. Making 15(1), 25–30 (1995).
• Detailed content of web-based decision aids
43.
Ferron Parayre A, Labrecque M, Rousseau M et al. Validation of SURE, a four-item clinical checklist for detecting decisional conflict in patients. Med. Decis. Making 34(1), 54–62 (2014).
• Detailed content of web-based decision aids
44.
Zeelenberg CM. Regret in decision making. Curr. Direct. Psychol. Sci. 11(6), 212–216 (2002).
• Detailed content of web-based decision aids
45.
Brehaut JC, O'Connor AM, Wood TJ et al. Validation of a decision regret scale. Med. Decis. Making 23(4), 281–292 (2013).
• Detailed content of web-based decision aids
46.
Martínez-Alonso M, Carles-Lavila M, Pérez-Lacasta MJ et al. Assessment of the effects of decision aids about breast cancer screening: a systematic review and meta-analysis. BMJ Open 7(10), e016894c (2017).
• Application effect of decision aids in breast cancer screening
47.
Ivlev I, Hickman EN, McDonagh MS, Eden KB. Use of patient decision aids increased younger women's reluctance to begin screening mammography: a systematic review and meta-analysis. J. Gen. Intern. Med. 32(7), 803–812 (2017).
• Application effect of decision aids in breast cancer screening
48.
Collier R. National Physician Survey: EMR use at 75%. CMAJ 187(1), E17–E18 (2015).
• The future development of web-based decision aids
49.
Davis S, Roudsari A, Raworth R et al. Shared decision-making using personal health record technology: a scoping review at the crossroads. J. Am. Med. Inform. Assoc. 24(4), 857–866 (2017).
• The future development of web-based decision aids
50.
Durand MA, Stiel M, Boivin J et al. Where is the theory? Evaluating the theoretical frameworks described in decision support technologies. Patient Educ. Couns. 71(1), 125–135 (2008).
• The future development of web-based decision aids
51.
Bush N, Vanderpool R, Cofta-Woerpel L, Wallace P. Profiles of 800,000 users of the National Cancer Institute's Cancer Information Service since the debut of online assistance, 2003–2008. Prev. Chronic Dis. 7(2), A31 (2010).
• The future development of web-based decision aids
52.
McCaffery KJ, Holmes-Rovner M, Smith SK et al. Addressing health literacy in patient decision aids. BMC Med. Inform. Decis. Mak. 13(Suppl. 2), S10 (2013).
• The future development of web-based decision aids
53.
Von Wagner C, Steptoe A, Wolf MS et al. Health literacy and health actions: a review and a framework from health psychology. Health Educ. Behav. 36(5), 860–877 (2009).
• The future development of web-based decision aids
54.
Davis TC, Arnold C, Berkel H et al. Knowledge and attitude on screening mammography among low-literate, low-income women. Cancer 78(9), 1912–1920 (1996).
• The future development of web-based decision aids
55.
Graham ID, Logan J, Bennett CL et al. Physicians' intentions and use of three patient decision aids. BMC Med. Inform. Decis. Mak. 7(1), 20 (2007).
• The future development of web-based decision aids
56.
Friesen-Storms JH, Bours GJ, van der Weijden T, Beurskens AJ. Shared decision making in chronic care in the context of evidence based practice in nursing. Int. J. Nurs. Stud. 52(1), 393–402 (2015).
• The future development of web-based decision aids
57.
Wyatt KD, Branda ME, Anderson RT et al. Peering into the black box: a meta-analysis of how clinicians use decision aids during clinical encounters. Implement. Sci. 9(1), 1–10 (2014).
• The future development of web-based decision aids
58.
Kristina T, Nathan DS, Anna MJ et al. ‘They leave at least believing they had a part in the discussion’: understanding decision aid use and patient-clinician decision-making through qualitative research. Patient Educ. Couns. 93(1), 86–94 (2013).
• The future development of web-based decision aids
59.
Borrelli B, Ritterband LM. Special issue on eHealth and mHealth: challenges and future directions for assessment, treatment, and dissemination. Health Psychol. 34S, 1205–1208 (2015).
• The future development of web-based decision aids
60.
Alicia HY, Jinmyoung C. Has the digital health divide widened? Trends of health-related internet use among older adults from 2003 to 2011. J. Gerontol. B Psychol. Sci. Soc. Sci. 72(5), 856–863 (2017).
• The future development of web-based decision aids
61.
Karin M, Shadiya L. How feasible is multiple time point web-based data collection with individuals experiencing street homelessness? J. Urban Health 94(1), 64–74 (2017).
• The future development of web-based decision aids
62.
Hong YA, Zhou Z. A profile of eHealth behaviors in China: results from a national survey show a low of usage and significant digital divide. Front. Public Health 6, 274 (2018).
• The future development of web-based decision aids
63.
Alvarez-Galvez J, Salinas-Perez JA, Montagni I et al. The persistence of digital divides in the use of health information: a comparative study in 28 European countries. Int. J. Public Health 65(3), 64 (2020).
• The future development of web-based decision aids