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Gartrell BA, Phalguni A, Bajko P, Mundle SD, McCarthy SA, Brookman-May SD, De Solda F, Jain R, Yu Ko W, Ploussard G, Hadaschik B. Influential Factors Impacting Treatment Decision-making and Decision Regret in Patients with Localized or Locally Advanced Prostate Cancer: A Systematic Literature Review. Eur Urol Oncol 2024:S2588-9311(24)00106-8. [PMID: 38744587 DOI: 10.1016/j.euo.2024.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/06/2024] [Accepted: 04/29/2024] [Indexed: 05/16/2024]
Abstract
CONTEXT Treatment decision-making (TDM) for patients with localized (LPC) or locally advanced (LAPC) prostate cancer is complex, and post-treatment decision regret (DR) is common. The factors driving TDM or predicting DR remain understudied. OBJECTIVE Two systematic literature reviews were conducted to explore the factors associated with TDM and DR. EVIDENCE ACQUISITION Three online databases, select congress proceedings, and gray literature were searched (September 2022). Publications on TDM and DR in LPC/LAPC were prioritized based on the following: 2012 onward, ≥100 patients, journal article, and quantitative data. The Preferred Reporting Items Reviews and Meta-analyses guidelines were followed. Influential factors were those with p < 0.05; for TDM, factors described as "a decision driver", "associated", "influential", or "significant" were also included. The key factors were determined by number of studies, consistency of evidence, and study quality. EVIDENCE SYNTHESIS Seventy-five publications (68 studies) reported TDM. Patient participation in TDM was reported in 34 publications; overall, patients preferred an active/shared role. Of 39 influential TDM factors, age, ethnicity, external factors (physician recommendation most common), and treatment characteristics/toxicity were key. Forty-nine publications reported DR. The proportion of patients experiencing DR varied by treatment type: 7-43% (active surveillance), 12-57% (radical prostatectomy), 1-49% (radiotherapy), 28-49% (androgen-deprivation therapy), and 21-47% (combination therapy). Of 42 significant DR factors, treatment toxicity (sexual/urinary/bowel dysfunction), patient role in TDM, and treatment type were key. CONCLUSIONS The key factors impacting TDM were physician recommendation, age, ethnicity, and treatment characteristics. Treatment toxicity and TDM approach were the key factors influencing DR. To help patients navigate factors influencing TDM and to limit DR, a shared, consensual TDM approach between patients, caregivers, and physicians is needed. PATIENT SUMMARY We looked at factors influencing treatment decision-making (TDM) and decision regret (DR) in patients with localized or locally advanced prostate cancer. The key factors influencing TDM were doctor's recommendation, patient age/ethnicity, and treatment side effects. A shared, consensual TDM approach between patients and doctors was found to limit DR.
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Affiliation(s)
- Benjamin A Gartrell
- Departments of Oncology and Urology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY, USA.
| | - Angaja Phalguni
- Evidence Synthesis, Genesis Research Group, Newcastle upon Tyne, UK
| | - Paulina Bajko
- Evidence Synthesis, Genesis Research Group, Newcastle upon Tyne, UK
| | - Suneel D Mundle
- Global Medical Affairs, Janssen Research & Development, Raritan, NJ, USA
| | - Sharon A McCarthy
- Clinical Research Oncology, Janssen Research & Development, Raritan, NJ, USA
| | - Sabine D Brookman-May
- Clinical Research Oncology, Janssen Research & Development, Spring House, PA, USA; Ludwig-Maximilians-University, München, Germany
| | - Francesco De Solda
- Global Commercial Strategy Organization, Janssen Global Services, Raritan, NJ, USA
| | - Ruhee Jain
- Global Commercial Strategy Organization, Janssen Global Services, Raritan, NJ, USA
| | - Wellam Yu Ko
- University of British Columbia Men's Health Research Program, Vancouver, BC, Canada
| | | | - Boris Hadaschik
- Department of Urology, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany
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Stacey D, Lewis KB, Smith M, Carley M, Volk R, Douglas EE, Pacheco-Brousseau L, Finderup J, Gunderson J, Barry MJ, Bennett CL, Bravo P, Steffensen K, Gogovor A, Graham ID, Kelly SE, Légaré F, Sondergaard H, Thomson R, Trenaman L, Trevena L. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev 2024; 1:CD001431. [PMID: 38284415 PMCID: PMC10823577 DOI: 10.1002/14651858.cd001431.pub6] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
BACKGROUND Patient decision aids are interventions designed to support people making health decisions. At a minimum, patient decision aids make the decision explicit, provide evidence-based information about the options and associated benefits/harms, and help clarify personal values for features of options. This is an update of a Cochrane review that was first published in 2003 and last updated in 2017. OBJECTIVES To assess the effects of patient decision aids in adults considering treatment or screening decisions using an integrated knowledge translation approach. SEARCH METHODS We conducted the updated search for the period of 2015 (last search date) to March 2022 in CENTRAL, MEDLINE, Embase, PsycINFO, EBSCO, and grey literature. The cumulative search covers database origins to March 2022. SELECTION CRITERIA We included published randomized controlled trials comparing patient decision aids to usual care. Usual care was defined as general information, risk assessment, clinical practice guideline summaries for health consumers, placebo intervention (e.g. information on another topic), or no intervention. DATA COLLECTION AND ANALYSIS Two authors independently screened citations for inclusion, extracted intervention and outcome data, and assessed risk of bias using the Cochrane risk of bias tool. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made (informed values-based choice congruence) and the decision-making process, such as knowledge, accurate risk perceptions, feeling informed, clear values, participation in decision-making, and adverse events. Secondary outcomes were choice, confidence in decision-making, adherence to the chosen option, preference-linked health outcomes, and impact on the healthcare system (e.g. consultation length). We pooled results using mean differences (MDs) and risk ratios (RRs) with 95% confidence intervals (CIs), applying a random-effects model. We conducted a subgroup analysis of 105 studies that were included in the previous review version compared to those published since that update (n = 104 studies). We used Grading of Recommendations Assessment, Development, and Evaluation (GRADE) to assess the certainty of the evidence. MAIN RESULTS This update added 104 new studies for a total of 209 studies involving 107,698 participants. The patient decision aids focused on 71 different decisions. The most common decisions were about cardiovascular treatments (n = 22 studies), cancer screening (n = 17 studies colorectal, 15 prostate, 12 breast), cancer treatments (e.g. 15 breast, 11 prostate), mental health treatments (n = 10 studies), and joint replacement surgery (n = 9 studies). When assessing risk of bias in the included studies, we rated two items as mostly unclear (selective reporting: 100 studies; blinding of participants/personnel: 161 studies), due to inadequate reporting. Of the 209 included studies, 34 had at least one item rated as high risk of bias. There was moderate-certainty evidence that patient decision aids probably increase the congruence between informed values and care choices compared to usual care (RR 1.75, 95% CI 1.44 to 2.13; 21 studies, 9377 participants). Regarding attributes related to the decision-making process and compared to usual care, there was high-certainty evidence that patient decision aids result in improved participants' knowledge (MD 11.90/100, 95% CI 10.60 to 13.19; 107 studies, 25,492 participants), accuracy of risk perceptions (RR 1.94, 95% CI 1.61 to 2.34; 25 studies, 7796 participants), and decreased decisional conflict related to feeling uninformed (MD -10.02, 95% CI -12.31 to -7.74; 58 studies, 12,104 participants), indecision about personal values (MD -7.86, 95% CI -9.69 to -6.02; 55 studies, 11,880 participants), and proportion of people who were passive in decision-making (clinician-controlled) (RR 0.72, 95% CI 0.59 to 0.88; 21 studies, 4348 participants). For adverse outcomes, there was high-certainty evidence that there was no difference in decision regret between the patient decision aid and usual care groups (MD -1.23, 95% CI -3.05 to 0.59; 22 studies, 3707 participants). Of note, there was no difference in the length of consultation when patient decision aids were used in preparation for the consultation (MD -2.97 minutes, 95% CI -7.84 to 1.90; 5 studies, 420 participants). When patient decision aids were used during the consultation with the clinician, the length of consultation was 1.5 minutes longer (MD 1.50 minutes, 95% CI 0.79 to 2.20; 8 studies, 2702 participants). We found the same direction of effect when we compared results for patient decision aid studies reported in the previous update compared to studies conducted since 2015. AUTHORS' CONCLUSIONS Compared to usual care, across a wide variety of decisions, patient decision aids probably helped more adults reach informed values-congruent choices. They led to large increases in knowledge, accurate risk perceptions, and an active role in decision-making. Our updated review also found that patient decision aids increased patients' feeling informed and clear about their personal values. There was no difference in decision regret between people using decision aids versus those receiving usual care. Further studies are needed to assess the impact of patient decision aids on adherence and downstream effects on cost and resource use.
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Affiliation(s)
- Dawn Stacey
- School of Nursing, University of Ottawa, Ottawa, Canada
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | | | | | - Meg Carley
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Robert Volk
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elisa E Douglas
- Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Jeanette Finderup
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | | | - Michael J Barry
- Informed Medical Decisions Program, Massachusetts General Hospital, Boston, MA, USA
| | - Carol L Bennett
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Paulina Bravo
- Education and Cancer Prevention, Fundación Arturo López Pérez, Santiago, Chile
| | - Karina Steffensen
- Center for Shared Decision Making, IRS - Lillebælt Hospital, Vejle, Denmark
| | - Amédé Gogovor
- VITAM - Centre de recherche en santé durable, Université Laval, Quebec, Canada
| | - Ian D Graham
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa, Ottawa, Canada
| | - Shannon E Kelly
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - France Légaré
- Centre de recherche sur les soins et les services de première ligne de l'Université Laval (CERSSPL-UL), Université Laval, Quebec, Canada
| | | | - Richard Thomson
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Logan Trenaman
- Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, USA
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Conti J, Fix GM, Javier SJ, Cheng H, Perez T, Dunlap S, McInnes DK, Midboe AM. Patient and provider perspectives of personal health record use: a multisite qualitative study in HIV care settings. Transl Behav Med 2023; 13:475-485. [PMID: 37084300 DOI: 10.1093/tbm/ibac118] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2023] Open
Abstract
Use of tethered personal health records (PHRs) can streamline care, reduce unnecessary care utilization, and improve health outcomes for people living with human immunodeficiency virus (HIV). Providers play a role in influencing patients' decision to adopt and use PHRs. To explore patient and provider acceptance and use of PHRs in an HIV care setting. We used a qualitative study design guided by the Unified Theory of Acceptance and Use of Technology. Participants included providers of HIV care, patients living with HIV, and PHR coordinating and support staff in the Veterans Health Administration (VA). Interviews were analyzed using directed content analysis. We interviewed providers (n = 41), patients living with HIV (n = 60), and PHR coordinating and support staff (n = 16) at six VA Medical Centers between June and December 2019. Providers perceived PHR use could enhance care continuity, appointment efficiency, and patient engagement. Yet, some expressed concerns that patient PHR use would increase provider workload and detract from clinical care. Concerns about poor PHR interoperability with existing clinical tools further eroded acceptance and use of PHRs. PHR use can enhance care for patients with HIV and other complex, chronic conditions. Negative provider attitudes toward PHRs may impact providers' encouragement of use among patients, consequently limiting patient uptake. Multipronged interventions at the individual, institutional, and system level are needed to enhance PHR engagement among both providers and patients.
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Affiliation(s)
- Jennifer Conti
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA
| | - Gemmae M Fix
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA
- Section of General Internal Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sarah J Javier
- Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, Menlo Park, CA, USA
- Stanford University School of Medicine, Stanford, CA, USA
| | - Hannah Cheng
- Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, Menlo Park, CA, USA
- Stanford University School of Medicine, Stanford, CA, USA
| | - Taryn Perez
- Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, Menlo Park, CA, USA
- Stanford University School of Medicine, Stanford, CA, USA
| | - Shawn Dunlap
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA
| | - Donald Keith McInnes
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA
| | - Amanda M Midboe
- Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, Menlo Park, CA, USA
- Stanford University School of Medicine, Stanford, CA, USA
- Division of Health Policy and Management, University of California Davis-School of Medicine, Davis, CA, USA
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Joyce DD, Tilburt JC, Pacyna JE, Cina K, Petereit DG, Koller KR, Flanagan CA, Stillwater B, Miller M, Kaur JS, Peil E, Zahrieh D, Dueck AC, Montori VM, Frosch DL, Volk RJ, Kim SP. The Impact of Within-Consultation and Preconsultation Decision Aids for Localized Prostate Cancer on Patient Knowledge: Results of a Patient-Level Randomized Trial. Urology 2023; 175:90-95. [PMID: 36898587 PMCID: PMC10239323 DOI: 10.1016/j.urology.2023.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 02/09/2023] [Accepted: 02/19/2023] [Indexed: 03/11/2023]
Abstract
OBJECTIVE To evaluate the role of timing (either before or during initial consultation) on the effectiveness of decision aids (DAs) to support shared-decision-making in a minority-enriched sample of patients with localized prostate cancer using a patient-level randomized controlled trial design. METHODS We conducted a 3-arm, patient-level-randomized trial in urology and radiation oncology practices in Ohio, South Dakota, and Alaska, testing the effect of preconsultation and within-consultation DAs on patient knowledge elements deemed essential to make treatment decisions about localized prostate cancer, all measured immediately following the initial urology consultation using a 12-item Prostate Cancer Treatment Questionnaire (score range 0 [no questions correct] to 1 [all questions correct]), compared to usual care (no DAs). RESULTS Between 2017 and 2018, 103 patients-including 16 Black/African American and 17 American Indian or Alaska Native men-were enrolled and randomly assigned to receive usual care (n = 33) or usual care and a DA before (n = 37) or during (n = 33) the consultation. After adjusting for baseline characteristics, there were no statistically significant proportional score differences in patient knowledge between the preconsultation DA arm (0.06 knowledge change, 95% CI -0.02 to 0.12, P = .1) or the within-consultation DA arm (0.04 knowledge change, 95% CI -0.03 to 0.11, P = .3) and usual care. CONCLUSION In this trial oversampling minority men with localized prostate cancer, DAs presented at different times relative to the specialist consultation showed no improvement in patient knowledge above usual care.
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Affiliation(s)
| | - Jon C Tilburt
- Division of General Internal Medicine, Mayo Clinic, Scottsdale, AZ; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN; Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN.
| | - Joel E Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Kristin Cina
- Walking Forward Avera Health, Division of Research, Rapid City, SD
| | - Daniel G Petereit
- Cancer Care Institute at Monument Health, Rapid City, SD; Walking Forward Avera Health, Division of Research, Rapid City, SD
| | - Kathryn R Koller
- Alaska Native Tribal Health Consortium Research Services, Anchorage, AK
| | - Christie A Flanagan
- Alaska Native Tribal Health Consortium Research Services, Anchorage, AK; Alaska Native Epidemiology Center, Alaska Native Tribal Health Consortium, Anchorage, AK
| | | | - Mariam Miller
- Department of Urology, Alaska Native Medical Center, Anchorage, AK
| | - Judith S Kaur
- Department of Hematology and Oncology, Mayo Clinic, Jacksonville, FL
| | - Elizabeth Peil
- Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | - David Zahrieh
- Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | - Amylou C Dueck
- Clinical Trials and Biostatistics, Mayo Clinic, Scottsdale, AZ
| | - Victor M Montori
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN
| | | | - Robert J Volk
- Division of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Simon P Kim
- Division of Urology, University of Colorado Anschutz Medical Center, University of Colorado, Aurora, CO
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Variation in Provider Practice Patterns and the Perceived Need for a Shared Decision-making Tool for Neurogenic Lower Urinary Tract Dysfunction. Urology 2023; 174:185-190. [PMID: 36709856 DOI: 10.1016/j.urology.2023.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/14/2023] [Accepted: 01/16/2023] [Indexed: 01/27/2023]
Abstract
OBJECTIVE To evaluate neurogenic lower urinary tract dysfunction (NLUTD) care providers' current practice patterns, their perceived need for a shared decision-making tool for NLUTD management. METHODS We developed an electronic survey to assess multiple factors surrounding NLUTD management including practice patterns, perceived need for a decision aid and willingness to use it. Prior to survey dissemination, a panel of expert NLUTD care providers reviewed and provided a critique of the survey. It was delivered via email to the members of the Genitourinary Reconstructive Surgeons, and the Society of Urodynamics, female pelvic medicine and urogenital reconstruction between March and May 2022. RESULTS A total of 117 NLUTD care providers from 11 countries participated in this survey. Most participants were urologists (n: 109, 93%) working at academic teaching hospitals (n: 82, 70%). The most common treatments the providers had provided for stress urinary incontinence and detrusor overactivity were sling procedures (n: 76, 65%) and anticholinergics (n: 111, 95%). Participants believed that NLUTD management can be highly patient-specific and extensively vary from one individual to another. Most participants believed that patients performing clean intermittent catheterization have better QoL compared to those utilizing indwelling urinary catheters (n: 81, 69%). Participants believed there is a need for a NLUTD decision aid, and they expressed their willingness to use one if available. CONCLUSION We found discordances between guideline recommendations, provider practice patterns, and patient-reported outcome measures and essential attributes that indicated the need for a decision aid to improve patient-provider communication and shared decision-making in NLUTD management.
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