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The impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: Results of a stepped‐wedge cluster randomised trial
BACKGROUND: Decision aids help patients consider the benefits and drawbacks of care options but rarely include cost information. We assessed the impact of a conversation‐based decision aid containing information about low‐risk prostate cancer management options and their relative costs. METHODS: We...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485319/ https://www.ncbi.nlm.nih.gov/pubmed/37394739 http://dx.doi.org/10.1111/hex.13810 |
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author | Politi, Mary C. Forcino, Rachel C. Parrish, Katelyn Durand, Marie‐Anne O'Malley, A. James Moses, Rachel Cooksey, Krista Elwyn, Glyn |
author_facet | Politi, Mary C. Forcino, Rachel C. Parrish, Katelyn Durand, Marie‐Anne O'Malley, A. James Moses, Rachel Cooksey, Krista Elwyn, Glyn |
author_sort | Politi, Mary C. |
collection | PubMed |
description | BACKGROUND: Decision aids help patients consider the benefits and drawbacks of care options but rarely include cost information. We assessed the impact of a conversation‐based decision aid containing information about low‐risk prostate cancer management options and their relative costs. METHODS: We conducted a stepped‐wedge cluster randomised trial in outpatient urology practices within a US‐based academic medical center. We randomised five clinicians to four intervention sequences and enroled patients newly diagnosed with low‐risk prostate cancer. Primary patient‐reported outcomes collected postvisit included the frequency of cost conversations and referrals to address costs. Other patient‐reported outcomes included: decisional conflict postvisit and at 3 months, decision regret at 3 months, shared decision‐making postvisit, financial toxicity postvisit and at 3 months. Clinicians reported their attitudes about shared decision‐making pre‐ and poststudy, and the intervention's feasibility and acceptability. We used hierarchical regression analysis to assess patient outcomes. The clinician was included as a random effect; fixed effects included education, employment, telehealth versus in‐person visit, visit date, and enrolment period. RESULTS: Between April 2020 and March 2022, we screened 513 patients, contacted 217 eligible patients, and enroled 117/217 (54%) (51 in usual care, 66 in the intervention group). In adjusted analyses, the intervention was not associated with cost conversations (β = .82, p = .27), referrals to cost‐related resources (β = −0.36, p = .81), shared decision‐making (β = −0.79, p = .32), decisional conflict postvisit (β = −0.34, p= .70), or at follow‐up (β = −2.19, p = .16), decision regret at follow‐up (β = −9.76, p = .11), or financial toxicity postvisit (β = −1.32, p = .63) or at follow‐up (β = −2.41, p = .23). Most clinicians and patients had positive attitudes about the intervention and shared decision‐making. In exploratory unadjusted analyses, patients in the intervention group experienced more transient indecision (p < .02) suggesting increased deliberation between visit and follow‐up. DISCUSSION: Despite enthusiasm from clinicians, the intervention was not significantly associated with hypothesised outcomes, though we were unable to robustly test outcomes due to recruitment challenges. Recruitment at the start of the COVID‐19 pandemic impacted eligibility, sample size/power, study procedures, and increased telehealth visits and financial worry, independent of the intervention. Future work should explore ways to support shared decision‐making, cost conversations, and choice deliberation with a larger sample. Such work could involve additional members of the care team, and consider the detail, quality, and timing of addressing these issues. PATIENT OR PUBLIC CONTRIBUTION: Patients and clinicians were engaged as stakeholder advisors meeting monthly throughout the duration of the project to advise on the study design, measures selected, data interpretation, and dissemination of study findings. |
format | Online Article Text |
id | pubmed-10485319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104853192023-09-09 The impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: Results of a stepped‐wedge cluster randomised trial Politi, Mary C. Forcino, Rachel C. Parrish, Katelyn Durand, Marie‐Anne O'Malley, A. James Moses, Rachel Cooksey, Krista Elwyn, Glyn Health Expect Original Articles BACKGROUND: Decision aids help patients consider the benefits and drawbacks of care options but rarely include cost information. We assessed the impact of a conversation‐based decision aid containing information about low‐risk prostate cancer management options and their relative costs. METHODS: We conducted a stepped‐wedge cluster randomised trial in outpatient urology practices within a US‐based academic medical center. We randomised five clinicians to four intervention sequences and enroled patients newly diagnosed with low‐risk prostate cancer. Primary patient‐reported outcomes collected postvisit included the frequency of cost conversations and referrals to address costs. Other patient‐reported outcomes included: decisional conflict postvisit and at 3 months, decision regret at 3 months, shared decision‐making postvisit, financial toxicity postvisit and at 3 months. Clinicians reported their attitudes about shared decision‐making pre‐ and poststudy, and the intervention's feasibility and acceptability. We used hierarchical regression analysis to assess patient outcomes. The clinician was included as a random effect; fixed effects included education, employment, telehealth versus in‐person visit, visit date, and enrolment period. RESULTS: Between April 2020 and March 2022, we screened 513 patients, contacted 217 eligible patients, and enroled 117/217 (54%) (51 in usual care, 66 in the intervention group). In adjusted analyses, the intervention was not associated with cost conversations (β = .82, p = .27), referrals to cost‐related resources (β = −0.36, p = .81), shared decision‐making (β = −0.79, p = .32), decisional conflict postvisit (β = −0.34, p= .70), or at follow‐up (β = −2.19, p = .16), decision regret at follow‐up (β = −9.76, p = .11), or financial toxicity postvisit (β = −1.32, p = .63) or at follow‐up (β = −2.41, p = .23). Most clinicians and patients had positive attitudes about the intervention and shared decision‐making. In exploratory unadjusted analyses, patients in the intervention group experienced more transient indecision (p < .02) suggesting increased deliberation between visit and follow‐up. DISCUSSION: Despite enthusiasm from clinicians, the intervention was not significantly associated with hypothesised outcomes, though we were unable to robustly test outcomes due to recruitment challenges. Recruitment at the start of the COVID‐19 pandemic impacted eligibility, sample size/power, study procedures, and increased telehealth visits and financial worry, independent of the intervention. Future work should explore ways to support shared decision‐making, cost conversations, and choice deliberation with a larger sample. Such work could involve additional members of the care team, and consider the detail, quality, and timing of addressing these issues. PATIENT OR PUBLIC CONTRIBUTION: Patients and clinicians were engaged as stakeholder advisors meeting monthly throughout the duration of the project to advise on the study design, measures selected, data interpretation, and dissemination of study findings. John Wiley and Sons Inc. 2023-07-02 /pmc/articles/PMC10485319/ /pubmed/37394739 http://dx.doi.org/10.1111/hex.13810 Text en © 2023 The Authors. Health Expectations published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Politi, Mary C. Forcino, Rachel C. Parrish, Katelyn Durand, Marie‐Anne O'Malley, A. James Moses, Rachel Cooksey, Krista Elwyn, Glyn The impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: Results of a stepped‐wedge cluster randomised trial |
title | The impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: Results of a stepped‐wedge cluster randomised trial |
title_full | The impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: Results of a stepped‐wedge cluster randomised trial |
title_fullStr | The impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: Results of a stepped‐wedge cluster randomised trial |
title_full_unstemmed | The impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: Results of a stepped‐wedge cluster randomised trial |
title_short | The impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: Results of a stepped‐wedge cluster randomised trial |
title_sort | impact of adding cost information to a conversation aid to support shared decision making about low‐risk prostate cancer treatment: results of a stepped‐wedge cluster randomised trial |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485319/ https://www.ncbi.nlm.nih.gov/pubmed/37394739 http://dx.doi.org/10.1111/hex.13810 |
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