Literature DB >> 20550591

Development of instruments to measure the quality of breast cancer treatment decisions.

Clara N Lee1, Rosalie Dominik, Carrie A Levin, Michael J Barry, Carol Cosenza, Annette M O'Connor, Albert G Mulley, Karen R Sepucha.   

Abstract

BACKGROUND: Women with early-stage breast cancer face a multitude of decisions. The quality of a decision can be measured by the extent to which the treatment reflects what is most important to an informed patient. Reliable and valid measures of patients' knowledge and their goals and concerns related to breast cancer treatments are needed to assess the decision quality.
OBJECTIVE: To identify a set of key facts and goals relevant to each of three breast cancer treatment decisions (surgery, reconstruction and adjuvant chemotherapy and hormone therapy) and to evaluate the validity of the methods used to identify them.
METHODS: Candidate facts and goals were chosen based on evidence review and qualitative studies with breast cancer patients and providers. Cross-sectional surveys of patients and providers were conducted for each decision. The accuracy, importance and completeness of the items were examined.
RESULTS: Thirty-eight facts (11-14 per decision) and 27 goals (8-10 per decision) were identified. An average of 17 patients and 21 providers responded to each survey. The sets of facts were accurate and complete for all three decisions. The sets of goals and concerns were important for surgery and reconstruction, but not chemotherapy/hormone therapy. Patients and providers disagreed about the relative importance of several key facts and goals.
CONCLUSIONS: Overall, breast cancer patients and providers found the sets of facts and goals accurate, important and complete for three treatment decisions. Because patients' and providers' perspectives are different, it is vital that instrument development should include items reflecting both views.

Entities:  

Mesh:

Year:  2010        PMID: 20550591      PMCID: PMC2919601          DOI: 10.1111/j.1369-7625.2010.00600.x

Source DB:  PubMed          Journal:  Health Expect        ISSN: 1369-6513            Impact factor:   3.377


  34 in total

1.  The influence of patients' concerns on surgeons' recommendations for early breast cancer.

Authors:  Z H Wu; J L Freeman; A L Greer; D H Freeman; J S Goodman
Journal:  Eur J Cancer Care (Engl)       Date:  2001-06       Impact factor: 2.520

2.  Randomized trial of a patient decision aid for choice of surgical treatment for breast cancer.

Authors:  V Goel; C A Sawka; E C Thiel; E H Gort; A M O'Connor
Journal:  Med Decis Making       Date:  2001 Jan-Feb       Impact factor: 2.583

3.  Correlates of surgical treatment type for women with noninvasive and invasive breast cancer.

Authors:  S J Katz; P M Lantz; J K Zemencuk
Journal:  J Womens Health Gend Based Med       Date:  2001-09

4.  Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer.

Authors:  P M Ravdin; L A Siminoff; G J Davis; M B Mercer; J Hewlett; N Gerson; H L Parker
Journal:  J Clin Oncol       Date:  2001-02-15       Impact factor: 44.544

5.  Patient preferences for adjuvant chemotherapy of early breast cancer: how much benefit is needed?

Authors:  R J Simes; A S Coates
Journal:  J Natl Cancer Inst Monogr       Date:  2001

6.  Determinants of patients' choice of reconstruction with mastectomy for primary breast cancer.

Authors:  P Ananian; G Houvenaeghel; C Protière; P Rouanet; S Arnaud; J P Moatti; A Tallet; A C Braud; C Julian-Reynier
Journal:  Ann Surg Oncol       Date:  2004-07-12       Impact factor: 5.344

7.  Effect of a decision aid on knowledge and treatment decision making for breast cancer surgery: a randomized trial.

Authors:  Timothy Whelan; Mark Levine; Andrew Willan; Amiram Gafni; Ken Sanders; Doug Mirsky; Shelley Chambers; Mary Ann O'Brien; Susan Reid; Sacha Dubois
Journal:  JAMA       Date:  2004-07-28       Impact factor: 56.272

8.  Helping patients make informed choices: a randomized trial of a decision aid for adjuvant chemotherapy in lymph node-negative breast cancer.

Authors:  Timothy Whelan; Carol Sawka; Mark Levine; Amiram Gafni; Leonard Reyno; Andrew Willan; Jim Julian; Susan Dent; Hakam Abu-Zahra; Edmond Chouinard; Richard Tozer; Kathleen Pritchard; Ilona Bodendorfer
Journal:  J Natl Cancer Inst       Date:  2003-04-16       Impact factor: 13.506

9.  Can women with early-stage breast cancer make an informed decision for mastectomy?

Authors:  E Dale Collins; Caroline P Moore; Kate F Clay; Stephen A Kearing; Annette M O'Connor; Hilary A Llewellyn-Thomas; Richard J Barth; Karen R Sepucha
Journal:  J Clin Oncol       Date:  2008-12-29       Impact factor: 44.544

10.  Predictors of patients' choices for breast-conserving therapy or mastectomy: a prospective study.

Authors:  S Molenaar; F Oort; M Sprangers; E Rutgers; E Luiten; J Mulder; H de Haes
Journal:  Br J Cancer       Date:  2004-06-01       Impact factor: 7.640

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  23 in total

1.  Improving Breast Cancer Surgical Treatment Decision Making: The iCanDecide Randomized Clinical Trial.

Authors:  Sarah T Hawley; Yun Li; Lawrence C An; Kenneth Resnicow; Nancy K Janz; Michael S Sabel; Kevin C Ward; Angela Fagerlin; Monica Morrow; Reshma Jagsi; Timothy P Hofer; Steven J Katz
Journal:  J Clin Oncol       Date:  2018-01-24       Impact factor: 44.544

2.  Decision making about surgery for early-stage breast cancer.

Authors:  Clara N Lee; Yuchiao Chang; Nesochi Adimorah; Jeff K Belkora; Beverly Moy; Ann H Partridge; David W Ollila; Karen R Sepucha
Journal:  J Am Coll Surg       Date:  2011-11-06       Impact factor: 6.113

3.  Understanding and Optimizing the Patient Experience in Breast Reconstruction.

Authors:  Wess A Cohen; Tiffany N S Ballard; Jennifer B Hamill; Hyungjin M Kim; Xiaoxue Chen; Anne Klassen; Edwin G Wilkins; Andrea L Pusic
Journal:  Ann Plast Surg       Date:  2016-08       Impact factor: 1.539

4.  How Informed Is the Decision About Breast Reconstruction After Mastectomy?: A Prospective, Cross-sectional Study.

Authors:  Clara Nan-Hi Lee; Peter Anthony Ubel; Allison M Deal; Lillian Burdick Blizard; Karen R Sepucha; David W Ollila; Michael Patrick Pignone
Journal:  Ann Surg       Date:  2016-12       Impact factor: 12.969

5.  Quality of online information to support patient decision-making in breast cancer surgery.

Authors:  Jordan G Bruce; Jennifer L Tucholka; Nicole M Steffens; Heather B Neuman
Journal:  J Surg Oncol       Date:  2015-09-29       Impact factor: 3.454

6.  Decision dissonance: evaluating an approach to measuring the quality of surgical decision making.

Authors:  Floyd J Fowler; Patricia M Gallagher; Keith M Drake; Karen R Sepucha
Journal:  Jt Comm J Qual Patient Saf       Date:  2013-03

7.  Are patients making high-quality decisions about breast reconstruction after mastectomy? [outcomes article].

Authors:  Clara N Lee; Jeff Belkora; Yuchiao Chang; Beverly Moy; Ann Partridge; Karen Sepucha
Journal:  Plast Reconstr Surg       Date:  2011-01       Impact factor: 4.730

8.  Quality of Patient Decisions About Breast Reconstruction After Mastectomy.

Authors:  Clara Nan-Hi Lee; Allison M Deal; Ruth Huh; Peter Anthony Ubel; Yuen-Jong Liu; Lillian Blizard; Caprice Hunt; Michael Patrick Pignone
Journal:  JAMA Surg       Date:  2017-08-01       Impact factor: 14.766

9.  Measuring decision quality: psychometric evaluation of a new instrument for breast cancer surgery.

Authors:  Karen R Sepucha; Jeffrey K Belkora; Yuchiao Chang; Carol Cosenza; Carrie A Levin; Beverly Moy; Ann Partridge; Clara N Lee
Journal:  BMC Med Inform Decis Mak       Date:  2012-06-08       Impact factor: 2.796

10.  Accuracy of Predictions of Patients With Breast Cancer of Future Well-being After Immediate Breast Reconstruction.

Authors:  Clara Nan-Hi Lee; Michael Patrick Pignone; Allison M Deal; Lillian Blizard; Caprice Hunt; Ruth Huh; Yuen-Jong Liu; Peter Anthony Ubel
Journal:  JAMA Surg       Date:  2018-04-18       Impact factor: 14.766

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