Abstract
Background
It is estimated that one-third of women will experience abnormal menstrual bleeding. The majority of these cases are not due to cancer or pregnancy complications and, as a result, women are faced with a variety of treatment alternatives, the selection of which is largely dependent on personal preferences for care rather than clinical outcomes.
Objective
This randomized trial was designed to evaluate a preference elicitation tool to promote physician–patient collaborative decision making for treatment of abnormal uterine bleeding (AUB).
Methods
Adaptive conjoint analysis (ACA) was used to create a preference elicitation tool in English and in Spanish. Women with AUB were enrolled to the study and randomly assigned to ACA or usual counseling at the initial clinic visit at four clinics (three in Indianapolis, IN, USA, and one in Southern Pines, NC, USA). The ACA tool elicited preferences across eight attributes: treatment efficacy; sexual function; medical care; cost; fertility; frequency of medication use; permanence; and recovery time. t tests were used to compare differences in the primary outcomes of decision regret and treatment satisfaction at the follow-up visit. The study was designed to have 80 % power to detect significant differences between groups for the primary outcomes of regret and satisfaction.
Results
Women were enrolled in the study between September 2009 and March 2012. 183 participants were randomized to ACA and 191 to usual counseling. Overall, mean (standard deviation) treatment satisfaction was high at 35.71 (9.72) (scale of 0–44), and decision regret was low at 25.9 (21.0) (scale of 0–100), creating ceiling effects for the selected outcome variables; there were no significant differences between the ACA and control groups at the follow-up assessment. There was a strong inverse relationship between age and decision regret (p = 0.007). Exploratory subgroup analysis in the youngest quartile comprising 64 women aged 19–35 years showed a statistically non-significant difference in mean regret scores for the ACA group versus usual counseling (24.6 vs. 34.6, respectively; p = 0.08).
Conclusions
A preference elicitation tool at the initial consultation visit did not reduce decision regret or improve treatment satisfaction among patients with AUB; however, there is a need for additional research to further understand this tool’s potential role in promoting collaborative decision making, which may be particularly important among younger women.
Similar content being viewed by others
References
Matteson KA, Boardman LA, Munro MG, Clark MA. Abnormal uterine bleeding: a review of patient-based outcome measures. Fertil Steril. 2009;92(1):205–16.
Munro MG, Critchley HO, Fraser IS. The FIGO systems for nomenclature and classification of causes of abnormal uterine bleeding in the reproductive years: who needs them? Am J Obstet Gynecol. 2012;207(4):259–65.
ACOG. Diagnosis of abnormal uterine bleeding in reproductive-aged women. Obstet Gynecol. 2012;120(1):197–206.
Fraser IS, Langham S, Uhl-Hochgraeber K. Health-related quality of life and economic burden of abnormal uterine bleeding. Expert Rev Obstet Gynecol. 2009;4(2):179–89
Liu Z, Doan QV, Blumenthal P, Dubois RW. A systematic review evaluating health-related quality of life, work impairment, and health-care costs and utilization in abnormal uterine bleeding. Value Health. 2007;10(3):183–94.
Munro MG, Critchley HO, Broder MS, Fraser IS. FIGO classification system (PALM-COEIN) for causes of abnormal uterine bleeding in nongravid women of reproductive age. Int J Gynaecol Obstet. 2011;113(1):3–13.
Green PE, Krieger AM, Agarwal MK. Adaptive conjoint analysis: some caveats and suggestions. J Marketing Res. 1991;28(2):215–22.
Fraenkel L, Gulanski B, Wittink D. Patient treatment preferences for osteoporosis. Arthr Rheum. 2006;55(5):729–35.
Fraenkel L, Rabidou N, Wittink D, Fried T. Improving informed decision-making for patients with knee pain. J Rheumatol. 2007;34(9):1894–8.
Langenhoff BS, Krabbe PF, Ruers TJ. Computer-based decision making in medicine: a model for surgery of colorectal liver metastases. Eur J Surg Oncol. 2007;33(Suppl 2):S111–7.
Pieterse AH, Stiggelbout AM, Baas-Thijssen MC, van de Velde CJ, Marijnen CA. Benefit from preoperative radiotherapy in rectal cancer treatment: disease-free patients’ and oncologists’ preferences. Br J Cancer. 2007;97(6):717–24.
Longacre AV, Imaeda A, Garcia-Tsao G, Fraenkel L. A pilot project examining the predicted preferences of patients and physicians in the primary prophylaxis of variceal hemorrhage. Hepatology. 2008;47(1):169–76.
Hess LM, Litwiller A, Kasper K, Stutsman J, Byron J, Learman L. Adaptive conjoint analysis as a decision aid for dysfunctional uterine bleeding [poster]. Society of Medical Decision Making Annual Meeting; 30 May–2 Jun 2010; Tyrol.
Spies JB, Coyne K, Guaou Guaou N, Boyle D, Skyrnarz-Murphy K, Gonzalves SM. The UFS-QOL, a new disease-specific symptom and health-related quality of life questionnaire for leiomyomata. Obstet Gynecol. 2002;99(2):290–300.
Cella D, Hahn E, Webster K, Eremenco S, Lent L, Hudges S, Beaumont J, Shonk C. The FACIT treatment satisfaction measurement system. JSTOR Qual Life Res. 2003;12(7):747.
Brehaut JC, O’Connor AM, Wood TJ, Hack TF, Siminoff L, Gordon E, et al. Validation of a decision regret scale. Med Decis Mak. 2003;23(4):281–92.
Westin SN, Sun CC, Lu KH, Schmeler KM, Soliman PT, Lacour RA, et al. Satisfaction with ovarian carcinoma risk-reduction strategies among women at high risk for breast and ovarian carcinoma. Cancer. 2011;117(12):2659–67.
Acknowledgment
The authors would like to thank Indiana University and Southern Pines Women’s Health Center employees Ashley Bozell, MPH, Jane Cole, CMA, Bindu Dukka, MPH, Lynn Nall, RN, Andrea Priest, MPH, and Carol Wuestfeld, RN, for their dedication to the recruitment and follow-up of study participants.
Conflict of interest
The authors report no conflicts of interest.
Financial support
This study was funded by a grant to the investigators from the Ralph W. and Grace M. Showalter Research Trust Fund, which had no involvement in the study design, conduct, interpretation, or dissemination.
Author contributions
The authors each contributed to and approved the final manuscript for publication. The principal and co-investigators, Drs. Hess, Litwiller, Byron, Stutsman, Kasper, and Learman, were responsible for all aspects of the study, including obtaining funding, study design, and procedures patient enrollment, and writing the manuscript. Dr. Hess was the primary investigator responsible for grant writing to obtain support for the study, data analysis, Institutional Review Board (IRB), and regulatory responsibilities and led the work on the manuscript. All investigators were responsible for patient recruitment, enrollment, data collection, conduct of study visits, interpretation of data, and revisions and substantial contributions to the manuscript. Dr. Hess is guarantor of the study and accepts full responsibility for the content of this work.
Author information
Authors and Affiliations
Corresponding author
Additional information
Clinicaltrials.gov identifier: NCT01721304; http://www.clinicaltrials.gov/ct2/show/NCT01721304.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Hess, L.M., Litwiller, A., Byron, J. et al. Preference Elicitation Tool for Abnormal Uterine Bleeding Treatment: A Randomized Controlled Trial. Patient 8, 217–227 (2015). https://doi.org/10.1007/s40271-014-0078-8
Published:
Issue date:
DOI: https://doi.org/10.1007/s40271-014-0078-8