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Wu CJ, Yeh TP, Chu G, Ho YF. Effectiveness of computerised decision aids for patients with chronic diseases in shared decision-making: A systematic review and meta-analysis. J Clin Nurs 2024; 33:2732-2754. [PMID: 38553843 DOI: 10.1111/jocn.17095] [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] [Received: 09/20/2023] [Revised: 11/24/2023] [Accepted: 02/28/2024] [Indexed: 06/14/2024]
Abstract
AIMS To synthesise the composition and effectiveness of computer-based patient decision aid (PDAs) in interventions for patients with chronic diseases. DESIGN A systematic review with meta-analysis. METHODS Five databases were searched, and only randomised controlled trials (RCTs)were included. This review was conducted with the PRISMA guidelines. The JBI Appraisal Tools for randomised trials were used to assess the risk of bias. We used the random-effects model to conduct meta-analyses. Evidence from RCTs was synthesised using standardised mean differences or mean differences. The GRADE system was employed to assess the certainty of evidence and recommendations. This study was registered on PROSPERO (number: CRD42022369340). DATA SOURCES PubMed, Embase, Web of Science, CINAHL and Cochrane Library were searched for studies published before October 2022. RESULTS The review included 22 studies, and most computer-based PDAs reported information on the disease, treatment options, pros and cons and risk comparison and value clarification. The use of computer-based PDAs showed a significant effect on decision conflict and knowledge, but not on decision regret, satisfaction, self-efficacy, anxiety and quality of life. The overall GRADE certainty of evidence was low. CONCLUSION Although the quality of evidence was low, however, using computer-based PDAs could reduce decision conflict and enhance knowledge when making medical decisions. More research is needed to support the contention above. RELEVANCE TO CLINICAL PRACTICE Computer-based PDAs could assist health-care providers and patients in the shared decision-making process and improving the quality of decision-making. REPORTING METHOD This study adhered to PRISMA guidelines. NO PATIENT OR PUBLIC CONTRIBUTION.
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Affiliation(s)
- Chih-Jung Wu
- School of Nursing, China Medical University, Taichung, Taiwan
- Department of Nursing, China Medical University Hospital, Taichung, Taiwan
| | - Tzu-Pei Yeh
- School of Nursing, China Medical University, Taichung, Taiwan
- Department of Nursing, China Medical University Hospital, Taichung, Taiwan
| | - Ginger Chu
- School of Nursing & Midwifery, University of Newcastle, Callaghan, Australia
| | - Ya-Fang Ho
- School of Nursing, China Medical University, Taichung, Taiwan
- Department of Nursing, China Medical University Hospital, Taichung, Taiwan
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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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Owens OL, Dressler EV, Mayfield A, Winkfield KM, Krane LS, Foust M, Sandberg JC. Considerations from employed African-American and white prostate cancer survivors on prostate cancer treatment and survivorship: a qualitative analysis. ETHNICITY & HEALTH 2024; 29:309-327. [PMID: 38317577 PMCID: PMC10987268 DOI: 10.1080/13557858.2024.2312422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 01/25/2024] [Indexed: 02/07/2024]
Abstract
OBJECTIVE To solicit information/suggestions from prostate cancer survivors to improve survivorship experiences specific to work/workability. DESIGN The study employed a qualitative/phenomenological approach. Black/African-American and white prostate cancer survivors who: (1) had prostatectomy or radiation therapy 6-36 months prior, (2) were working for pay within 30 days before having treatment, and (3) expected to be working for pay 6 months later (n = 45) were eligible for this study. Survivors were engaged in 60-to-90-minute structured interviews. Content analysis was used to ascertain prominent themes. RESULTS Participants had the following recommendations for survivors: ask about research on treatment options and side effects; speak with other survivors about cancer diagnosis; and inform family/friends and employers about needed accommodations. Considerations for family/friends emphasized the significance of instrumental (e.g. help finding information) and emotional support (e.g. encouragement). Employer/co-worker considerations most often related to work-related accommodations/support and avoiding stigmatization of the survivor. Considerations for healthcare providers commonly included the provision of unbiased, plain-language communication about treatment options and side effects. No major differences existed by race. CONCLUSIONS Needs of employed PrCA survivors, regardless of their race or treatment type, are commonly related to their desire for informational, instrumental, and/or emotional support from family/friends, employers/co-workers, and healthcare providers. The requested supports are most often related to the side effects of prostate cancer treatment.
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Affiliation(s)
- Otis L Owens
- College of Social Work, University of South Carolina, Columbia, SC, USA
| | - Emily V Dressler
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Andrew Mayfield
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Karen M Winkfield
- Meharry-Vanderbilt, Alliance, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Spencer Krane
- Department of Urologic Surgery, Southeastern Louisiana Veterans Health Care Center, New Orleans, LA, USA
| | - Melyssa Foust
- Spartanburg Gibbs Cancer Center and Research Institute, Spartanburg, SC, USA
| | - Joanne C Sandberg
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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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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Koelker M, Labban M, Frego N, Ye J, Lipsitz SR, Hubbell HT, Edelen M, Steele G, Salinas K, Meyer CP, Makanjuola J, Moore CM, Cole AP, Kibel AS, Trinh QD. Racial differences in patient-reported outcomes among men treated with radical prostatectomy for prostate cancer. Prostate 2024; 84:47-55. [PMID: 37710385 DOI: 10.1002/pros.24624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 08/08/2023] [Accepted: 09/01/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Real-world data on racial differences in the side effects of radical prostatectomy on quality of life (QoL) are lacking. We aimed to evaluate differences in patient-reported outcome measure (PROM) among non-Hispanic Black (NHB) and non-Hispanic White (NHW) men using the Expanded Prostate Cancer Index Composite for Clinical Practice (EPIC-CP) questionnaire to measure health-related QoL after radical prostatectomy. METHODS We retrospectively assessed prospectively collected PROMs using EPIC-CP scores at a tertiary care center between 2015 and 2021 for men with prostate cancer undergoing radical prostatectomy. The primary endpoint was the overall QoL score for NHB and NHW men, with a total score of 60 and higher scores indicating worse QoL. An imputed mixed linear regression model was used to examine the effect of covariates on the change in overall QoL score following surgery. A pairwise comparison was used to estimate the mean QoL scores before surgery as well as up to 24 months after surgery. RESULTS Our cohort consisted of 2229 men who answered at least one EPIC-CP questionnaire before or after surgery, of which 110 (4.94%) were NHB and 2119 (95.07%) were NHW men. The QoL scores differed for NHB and NHW at baseline (2.34, 95% confidence interval [CI] 0.36-4.31, p = 0.02), 3 months (4.36, 95% CI 2.29-6.42, p < 0.01), 6 months (3.26, 95% CI 1.10-5.43, p < 0.01), and 12 months after surgery (2.48, 95% CI 0.19-4.77, p = 0.03) with NHB having worse scores. There was no difference in QoL between NHB and NHW men 24 months after surgery. CONCLUSIONS A significant difference in QoL between NHB and NHW men was reported before surgery, 3, 6, and 12 months after surgery, with NHB having worse QoL scores. However, there was no long-term difference in reported QoL. Our findings inform strategies that can be implemented to mitigate racial differences in short-term outcomes.
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Affiliation(s)
- Mara Koelker
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Urology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Muhieddine Labban
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Nicola Frego
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Urology, Humanitas Research Hospital-IRCCS, Milan, Italy
| | - Jamie Ye
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Stuart R Lipsitz
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Maria Edelen
- Brigham and Women's Hospital, PROVE Center, Boston, Massachusetts, USA
| | - Grant Steele
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Kevin Salinas
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | | | - Caroline M Moore
- Division of Surgical and Interventional Science, University College London, London, UK
- Department of Urology, University College London Hospitals Trust, London, UK
| | - Alexander P Cole
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Adam S Kibel
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Quoc-Dien Trinh
- Division of Urological Surgery and Center of Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Sereda Y, Alarid-Escudero F, Bickell NA, Chang SH, Colditz GA, Hur C, Jalal H, Myers ER, Layne TM, Wang SY, Yeh JM, Trikalinos TA. Approaches to developing de novo cancer population models to examine questions about cancer and race in bladder, gastric, and endometrial cancer and multiple myeloma: the Cancer Intervention and Surveillance Modeling Network incubator program. J Natl Cancer Inst Monogr 2023; 2023:219-230. [PMID: 37947329 PMCID: PMC11009510 DOI: 10.1093/jncimonographs/lgad021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 07/10/2023] [Accepted: 07/19/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND We are developing 10 de novo population-level mathematical models in 4 malignancies (multiple myeloma and bladder, gastric, and uterine cancers). Each of these sites has documented disparities in outcome that are believed to be downstream effects of systemic racism. METHODS Ten models are being independently developed as part of the Cancer Intervention and Surveillance Modeling Network incubator program. These models simulate trends in cancer incidence, early diagnosis, treatment, and mortality for the general population and are stratified by racial subgroup. Model inputs are based on large population datasets, clinical trials, and observational studies. Some core parameters are shared, and other parameters are model specific. All models are microsimulation models that use self-reported race to stratify model inputs. They can simulate the distribution of relevant risk factors (eg, smoking, obesity) and insurance status (for multiple myeloma and uterine cancer) in US birth cohorts and population. DISCUSSION The models aim to refine approaches in prevention, detection, and management of 4 cancers given uncertainties and constraints. They will help explore whether the observed racial disparities are explainable by inequities, assess the effects of existing and potential cancer prevention and control policies on health equity and disparities, and identify policies that balance efficiency and fairness in decreasing cancer mortality.
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Affiliation(s)
- Yuliia Sereda
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, RI, USA
| | - Fernando Alarid-Escudero
- Department of Health Policy, School of Medicine, and Stanford Health Policy, Freeman-Spogli Institute for International Studies, Stanford University, Stanford, CA, USA
| | - Nina A Bickell
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Su-Hsin Chang
- Division of Public Health Sciences, Department of Surgery, WA University School of Medicine, St Louis, MO, USA
| | - Graham A Colditz
- Division of Public Health Sciences, Department of Surgery, WA University School of Medicine, St Louis, MO, USA
| | - Chin Hur
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Hawre Jalal
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Evan R Myers
- Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA
| | - Tracy M Layne
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Blavatnik Family Women’s Health Research Institute and Center for Scientific Diversity, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shi-Yi Wang
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT, USA
- Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale University School of Medicine, New Haven, CT, USA
| | - Jennifer M Yeh
- Department of Pediatrics, Boston Children’s Hospital, Boston, MA, USA
| | - Thomas A Trikalinos
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, RI, USA
- Departments of Health Services, Policy, & Practice and of Biostatistics, Brown University School of Public Health, Providence, RI, USA
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Fanshawe JB, Wai-Shun Chan V, Asif A, Ng A, Van Hemelrijck M, Cathcart P, Challacombe B, Brown C, Popert R, Elhage O, Ahmed K, Brunckhorst O, Dasgupta P. Decision Regret in Patients with Localised Prostate Cancer: A Systematic Review and Meta-analysis. Eur Urol Oncol 2023; 6:456-466. [PMID: 36870852 DOI: 10.1016/j.euo.2023.02.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/17/2023] [Accepted: 02/15/2023] [Indexed: 03/06/2023]
Abstract
CONTEXT Treatment choice for localised prostate cancer remains a significant challenge for patients and clinicians, with uncertainty over decisions potentially leading to conflict and regret. There is a need to further understand the prevalence and prognostic factors of decision regret to improve patient quality of life. OBJECTIVE To generate the best estimates for the prevalence of significant decision regret localised prostate cancer patients, and to investigate prognostic patient, oncological, and treatment factors associated with regret. EVIDENCE ACQUISITION We performed a systematic search of MEDLINE, Embase, and PsychINFO databases including studies evaluating the prevalence or patient, treatment, or oncological prognostic factors in localised prostate cancer patients. A pooled prevalence of significant regret was calculated with the formal prognostic factor evaluation conducted per factor identified. EVIDENCE SYNTHESIS Significant decision regret was present in a pooled 20% (95% confidence interval 16-23) of patients across 14 studies and 17883 patients. This was lower in active surveillance (13%), with little difference between those who underwent radiotherapy (19%) and those who underwent prostatectomy (18%). Evaluation of individual prognostic factors demonstrated higher regret in those with poorer post-treatment bowel, sexual, and urinary function; decreased involvement in the decision-making process; and Black ethnicity. However, evidence remains conflicting, with low or moderate certainty of findings. CONCLUSIONS A significant proportion of men experience decision regret after a localised prostate cancer diagnosis. Monitoring those with increased functional symptoms and improving patient involvement in the decision-making process through education and decision aids may reduce regret. PATIENT SUMMARY We looked at how common regret in treatment decisions is after treatment for early-stage prostate cancer and factors linked with this. We found that one in five regret their decision, with those who had experienced side effects or were less involved in the decision-making process more likely to have regret. By addressing these, clinicians could reduce regret and improve quality of life.
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Affiliation(s)
| | - Vinson Wai-Shun Chan
- Royal Derby Hospital, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK; Leeds Institute of Medical Research, School of Medicine, University of Leeds, Leeds, UK; Division of Surgery and Interventional Sciences, University College London, London, UK
| | - Aqua Asif
- Division of Surgery and Interventional Sciences, University College London, London, UK; Royal Surrey NHS Foundation Trust, Surrey, UK
| | - Alexander Ng
- Division of Surgery and Interventional Sciences, University College London, London, UK; Royal Free London NHS Foundation Trust, London, UK
| | - Mieke Van Hemelrijck
- Translational Oncology and Urology Research (TOUR), School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Paul Cathcart
- Department of Urology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Ben Challacombe
- Department of Urology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Christian Brown
- Department of Urology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Rick Popert
- Department of Urology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Oussama Elhage
- Department of Urology, Guy's and St. Thomas' NHS Foundation Trust, London, UK; School of Immunology and Microbial Sciences, King's College London, King's Health Partners, London, UK
| | - Kamran Ahmed
- MRC Centre for Transplantation, Guy's Hospital Campus, King's College London, King's Health Partners, London, UK; Department of Urology, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates; Khalifa University, Abu Dhabi, United Arab Emirates
| | - Oliver Brunckhorst
- MRC Centre for Transplantation, Guy's Hospital Campus, King's College London, King's Health Partners, London, UK
| | - Prokar Dasgupta
- Department of Urology, Guy's and St. Thomas' NHS Foundation Trust, London, UK; MRC Centre for Transplantation, Guy's Hospital Campus, King's College London, King's Health Partners, London, UK
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Chhatre S, Gallo JJ, Guzzo T, Morales KH, Newman DK, Vapiwala N, Van Arsdalen K, Wein AJ, Malkowicz SB, Jayadevappa R. Trajectory of Depression among Prostate Cancer Patients: A Secondary Analysis of a Randomized Controlled Trial. Cancers (Basel) 2023; 15:cancers15072124. [PMID: 37046786 PMCID: PMC10092991 DOI: 10.3390/cancers15072124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/28/2023] [Accepted: 03/31/2023] [Indexed: 04/05/2023] Open
Abstract
Background: While psychological difficulties, such as depression, among prostate cancer patients are known, their longitudinal burden remains understudied. We assessed the burden of depression across low-, intermediate- and high-risk prostate cancer groups, and the association between regret and long-term depression. Methods: Secondary analysis of data from a multi-centered randomized controlled study among localized prostate cancer patients was carried out. Assessments were performed at baseline, and at 3-, 6-, 12- and 24-month follow-up. Depression was assessed using the Center for Epidemiologic Studies Depression (CES-D) scale. A CES-D score ≥ 16 indicates high depression. Regret was measured using the regret scale of the Memorial Anxiety Scale for Prostate Cancer (MAX-PC). The proportion of patients with high depression was compared over time, for each risk category. Logistic regression was used to assess the association between regret, and long-term depression after adjusting for age, race, insurance, smoking status, marital status, income, education, employment, treatment, number of people in the household and study site. Results: The study had 743 localized prostate cancer patients. Median depression scores at 6, 12 and 24 months were significantly larger than the baseline median score, overall and for the three prostate cancer risk groups. The proportion of participants with high depression increased over time for all risk groups. Higher regret at 24-month follow-up was significantly associated with high depression at 24-month follow-up, after adjusting for covariates. Conclusions: A substantial proportion of localized prostate cancer patients continued to experience long-term depression. Patient-centered survivorship care strategies can help reduce depression and regret, and improve outcomes in prostate cancer care.
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Affiliation(s)
- Sumedha Chhatre
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Corporal Michael J. Crescenz VAMC, Philadelphia, PA 19104, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joseph J. Gallo
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Thomas Guzzo
- Urology Division, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Knashawn H. Morales
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Diane K. Newman
- Urology Division, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Neha Vapiwala
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Keith Van Arsdalen
- Corporal Michael J. Crescenz VAMC, Philadelphia, PA 19104, USA
- Urology Division, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alan J. Wein
- Urology Division, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Stanley Bruce Malkowicz
- Corporal Michael J. Crescenz VAMC, Philadelphia, PA 19104, USA
- Urology Division, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ravishankar Jayadevappa
- Corporal Michael J. Crescenz VAMC, Philadelphia, PA 19104, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Urology Division, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
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Ghoreifi A, Kaneko M, Peretsman S, Iwata A, Brooks J, Shakir A, Sugano D, Cai J, Cacciamani G, Park D, Lebastchi AH, Ukimura O, Bahn D, Gill I, Abreu AL. Patient-reported Satisfaction and Regret Following Focal Therapy for Prostate Cancer: A Prospective Multicenter Evaluation. EUR UROL SUPPL 2023; 50:10-16. [PMID: 37101771 PMCID: PMC10123415 DOI: 10.1016/j.euros.2023.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2023] [Indexed: 02/22/2023] Open
Abstract
Background Several reports are available regarding the treatment decision regret of patients receiving conventional treatments for localized prostate cancer (PCa); yet data on patients undergoing focal therapy (FT) are sparse. Objective To evaluate the treatment decision satisfaction and regret among patients who underwent FT for PCa with high-intensity focused ultrasound (HIFU) or cryoablation (CRYO). Design setting and participants We identified consecutive patients who underwent HIFU or CRYO FT as the primary treatment for localized PCa at three US institutions. A survey with validated questionnaires, including the five-question Decision Regret Scale (DRS), International Prostate Symptom Score (IPSS), and International Index of Erectile Function (IIEF-5), was mailed to the patients. The regret score was calculated based on the five items of the DRS, and regret was defined as a DRS score of >25. Outcome measurements and statistical analysis Multivariable logistic regression models were applied to assess the predictors of treatment decision regret. Results and limitations Of 236 patients, 143 (61%) responded to the survey. Baseline characteristics were similar between responders and nonresponders. During a median (interquartile range) follow-up of 43 (26-68) mo, the treatment decision regret rate was 19.6%. On a multivariable analysis, higher prostate-specific antigen (PSA) at nadir after FT (odds ratio [OR] 1.48, 95% confidence interval [CI] 1.1-2, p = 0.009), presence of PCa on follow-up biopsy (OR 3.98, 95% CI 1.5-10.6, p = 0.006), higher post-FT IPSS (OR 1.18, 95% CI 1.01-1.37, p = 0.03), and newly diagnosed impotence (OR 6.67, 95% CI 1.57-27, p = 0.03) were independent predictors of treatment regret. The type of energy treatment (HIFU/CRYO) was not a predictor of regret/satisfaction. Limitations include retrospective abstraction. Conclusions FT for localized PCa is well accepted by the patients, with a low regret rate. Higher PSA at nadir, presence of cancer on follow-up biopsy, bothersome postoperative urinary symptoms, and impotence after FT were independent predictors of treatment decision regret. Patient summary In this report, we looked at the factors affecting satisfaction and regret in patients with prostate cancer undergoing focal therapy. We found that focal therapy is well accepted by the patients, while presence of cancer on follow-up biopsy as well as bothersome urinary symptoms and sexual dysfunction can predict treatment decision regret.
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Todio E, Sharp J, Morrow A, Taylor N, Schofield P, Mazariego C. Examining the effectiveness and implementation of patient treatment decision-aid tools for men with localised prostate cancer: A systematic review. Psychooncology 2023; 32:469-491. [PMID: 36610001 DOI: 10.1002/pon.6094] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/19/2022] [Accepted: 01/02/2023] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Men diagnosed with localised prostate cancer (LPC) often face a difficult process deciding on a treatment choice that suits their personal preferences. This systematic review examines the impact of patient treatment decision-aids (DAs) on decisional outcomes and treatment choice for men diagnosed with LPC. Our secondary aim was to examine how DAs have been implemented into routine clinical practice. METHODS A systematic search was conducted up to June 2022 using the following databases: Medline, Embase, PsycINFO, CINAHL, Cochrane, Scopus, and Web of Science. Articles were included if they evaluated the effectiveness of treatment DAs for LPC patients on various decisional outcomes and treatment choice. The Mixed-Method Appraisal Tool was used to assess methodological quality and risk of bias. Data on implementation outcomes were also extracted if reported. RESULTS Twenty-four articles were included for the analysis (seven non-randomised studies, 16 randomised control trials, and one qualitative study). Results showed DAs have the potential to improve patient knowledge but revealed no effects on decisional regret or preparedness in decision-making. Due to the variability in methodology among studies, results varied widely for treatment choice, decision-making involvement, decisional conflict, and treatment decision satisfaction. At least one implementation outcome was reported in 11 of the included studies, with the most commonly assessed outcomes being acceptability and appropriateness. CONCLUSIONS While DAs appear to improve knowledge, further qualitative evaluations and standardised assessments are needed to better understand men's experiences using DAs and to determine advantages and optimal ways to implement DAs into the treatment decision-making pathway.
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Affiliation(s)
- Elizabeth Todio
- Department of Psychological Sciences, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Jessica Sharp
- Department of Psychological Sciences, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - April Morrow
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Randwick, New South Wales, Australia
| | - Natalie Taylor
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Randwick, New South Wales, Australia
| | - Penelope Schofield
- Department of Psychological Sciences, Swinburne University of Technology, Melbourne, Victoria, Australia.,Iverson Health Innovation Research Institute, Swinburne University, Melbourne, Victoria, Australia.,Behavioural Sciences Unit, Health Services Research and Implementation Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Carolyn Mazariego
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Randwick, New South Wales, Australia.,The Daffodil Centre, The University of Sydney, a Joint Venture with Cancer Council NSW, Camperdown, New South Wales, Australia
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11
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Briggs LG, Sentana-Lledo D, Lage DE, Trinh QD, Morgans AK. Optimal assessment of quality of life for patients with prostate cancer. Ther Adv Med Oncol 2022; 14:17588359221141306. [PMID: 36531831 PMCID: PMC9747880 DOI: 10.1177/17588359221141306] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 11/07/2022] [Indexed: 10/04/2023] Open
Abstract
The burden of cancer and oncologic treatment is reflected not only through morbidity and mortality, but also through impacts on patient quality of life (QoL). However, QoL has not been historically measured or addressed with the same rigorous methodology as traditional disease-related outcomes such as overall survival and progression, as these are driven by objective measurements and events. Prostate cancer (PCa) is one of the most prevalent non-cutaneous cancers in men around the world. Both the cancer and its treatment significantly impact patients' physical, emotional, sexual, social, and overall QoL. Ensuring assessment and integration of QoL in research and clinical care enables improvement in treatment outcomes that matter most to patients while also facilitating alignment of healthcare priorities with reimbursements. Great strides toward this end have been made over the last decade, but significant room for improvement remains. To ensure high quality, reliable data collection, QoL assessment tools must be psychometrically validated, standardized, widely implemented across trials, and regularly assessed to allow internal and external validity, longitudinal comparative effectiveness research, and quality control. Additional consideration should be taken for instruments used to measure the aspects of QoL specific to minority, caregiver, and elderly populations. Open clinical questions include how providers should weight changes in different QoL subscales and how clinically meaningful difference thresholds should be defined. Review of ongoing clinical trials encouragingly reveals an increased focus on measuring and improving QoL for men with PCa which will inform the way we utilize QoL assessments. However, additional efforts herein described are needed to fully optimize these processes. In summary, this review will explain the rationale for QoL assessments in PCa populations, discuss requirements for effective implementation, describe considerations for vulnerable and under-evaluated populations, and summarize ongoing clinical trials assessing patient QoL.
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Affiliation(s)
- Logan G Briggs
- Department of Urology, Mayo Clinic, Phoenix, AZ, USA
- Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel Sentana-Lledo
- Department of Hematology-Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Daniel E Lage
- Department of Hematology-Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Quoc-Dien Trinh
- Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Alicia K Morgans
- Faculty in Medicine, Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Ave, Dana 09-930, Boston, MA 02215, USA
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Abstract
BACKGROUND Patients undergoing colectomy may be at risk for postoperative regret, which is associated with worse quality of life, higher rates of depression, and poorer health outcomes. A better understanding of factors associated with decisional regret may allow surgeons to better tailor preoperative discussions to mitigate the risk of regret. OBJECTIVE This study aimed to identify factors associated with regret in patients undergoing elective and urgent/emergent colectomy. DESIGN A retrospective cohort study. SETTING The Michigan Surgical Quality Collaborative, a 73-hospital collaborative, which collects clinical data on general surgery operations. PATIENTS Patients aged >18 years who underwent elective or urgent/emergent colectomy between January 2017 and March 2020 and who completed a decision regret survey. MAIN OUTCOME MEASURES Any degree of postoperative regret. RESULTS Of 3638 patients, 2,530 (70%) underwent elective and 1108 (30%) underwent urgent/emergent colectomy. Overall, 381 (10.5%) patients reported regret, with higher rates among the urgent/emergent setting compared with the elective cohort (13.0% vs 9.4%; p < 0.001). In the elective cohort, regret was associated with length of stay >7 days (OR, 2.32; 95% CI, 1.06-5.07), postoperative complication (OR, 1.95; 95% CI, 1.36-2.79), and readmission (OR, 1.90; 95% CI, 1.22-2.95). Elective colectomies for cancer/adenoma/polyp were associated with lower odds of regret (OR, 0.68; 95% CI, 0.50-0.91). In the urgent/emergent cohort, regret was associated with female sex (OR, 1.69; 95% CI, 1.15-2.50) and nonhome discharge destination (OR, 1.61; 95% CI, 0.04-1.03). LIMITATIONS Hospitals used different sampling strategies, limiting our ability to calculate a true response rate and characterize nonresponders. CONCLUSIONS One in 10 patients reported regret after colectomy with higher rates in those undergoing urgent/emergent colectomy. Factors associated with regret were different between surgical settings. Efforts are needed to mitigate patients' risk of regret with individualized discussions contingent on surgical settings to better align expectations and outcomes. See Video Abstract at http://links.lww.com/DCR/C3 . ARREPENTIMIENTO DEL PACIENTE EN LA DECISIN DE SOMETIMIENTO A COLECTOMA ANTECEDENTES:Los pacientes que se someten a una colectomía pueden estar en riesgo de arrepentimiento post operatorio, la cual está asociada con una peor calidad de vida, mayores tasas de depresión y peores resultados de salud. Una mejor comprensión de los factores asociados con el arrepentimiento de dicha decisión, puede permitir a los cirujanos adaptar de una mejor manera las discusiones preoperatorias y así mitigar el riesgo de arrepentimiento.OBJETIVO:Identificar factores asociados al arrepentimiento en pacientes sometidos a colectomía electiva y urgente/emergente.DISEÑO:Estudio de cohorte retrospectivo.ESCENARIO:The Michigan Surgical Quality Collaborative, una colaboración de 73 hospitales.PACIENTES:Pacientes ≥18 años sometidos a colectomía electiva o urgente/emergente entre enero de 2017 y marzo de 2020, y que hayan completado una encuesta de arrepentimiento en cuanto a la decisión.PRINCIPALES MEDIDAS DE RESULTADO:Reporte de cualquier grado de arrepentimiento postoperatorio.RESULTADOS:De 3.638 pacientes, 2.530 (70%) fueron sometidos a colectomía electiva y 1.108 (30%) a colectomía urgente/emergente. En general, 381 (10,5%) pacientes informaron arrepentimiento, con tasas más altas en el grupo relacionado con el escenario urgente/emergente en comparación con la cohorte electiva (13,0% frente a 9,4%, p < 0,001). En la cohorte electiva, el arrepentimiento se asoció con una estancia hospitalaria >7 días (OR 2,32, IC 95% 1,06-5,07), complicación posoperatoria (OR 1,95, IC 95% 1,36-2,79) y reingreso (OR 1,90, IC 95% 1,22-2,95). Las colectomías electivas por cáncer/adenoma/pólipo se asociaron con una menor probabilidad de arrepentimiento (OR 0,68, IC 95%: 0,50-0,91). En la cohorte urgente/emergente, el arrepentimiento se asoció con el sexo femenino (OR 1,69, IC 95% 1,15-2,50) y el destino del alta no domiciliario (OR 1,61, IC 95% 0,04-1,03).LIMITACIONES:Los hospitales utilizaron diferentes estrategias de muestreo, lo que limita nuestra capacidad para calcular una tasa de respuesta real y caracterizar a los que no respondieron.CONCLUSIONES:Uno de cada diez pacientes reportó arrepentimiento después de la colectomía con tasas más altas en aquellos sometidos a colectomía urgente/emergente. Los factores asociados con el arrepentimiento fueron diferentes entre los entornos quirúrgicos. Se necesitan esfuerzos para mitigar el riesgo de arrepentimiento de los pacientes con discusiones individualizadas supeditadas al entorno quirúrgico para caracterizar de una mejor las expectativas y los resultados. Consulte Video Resumen en http://links.lww.com/DCR/C3 . (Traducción-Dr. Osvaldo Gauto).
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Wolff I, Burchardt M, Gilfrich C, Peter J, Baunacke M, Thomas C, Huber J, Gillitzer R, Sikic D, Fiebig C, Steinestel J, Schifano P, Löbig N, Bolenz C, Distler FA, Huettenbrink C, Janssen M, Schilling D, Barakat B, Harke NN, Fuhrmann C, Manseck A, Wagenhoffer R, Geist E, Blair L, Pfitzenmaier J, Reinhardt B, Hoschke B, Burger M, Bründl J, Schnabel MJ, May M. Patients Regret Their Choice of Therapy Significantly Less Frequently after Robot-Assisted Radical Prostatectomy as Opposed to Open Radical Prostatectomy: Patient-Reported Results of the Multicenter Cross-Sectional IMPROVE Study. Cancers (Basel) 2022; 14:cancers14215356. [PMID: 36358775 PMCID: PMC9654391 DOI: 10.3390/cancers14215356] [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: 09/20/2022] [Revised: 10/22/2022] [Accepted: 10/24/2022] [Indexed: 11/16/2022] Open
Abstract
Patient’s regret (PatR) concerning the choice of therapy represents a crucial endpoint for treatment evaluation after radical prostatectomy (RP) for prostate cancer (PCA). This study aims to compare PatR following robot-assisted (RARP) and open surgical approach (ORP). A survey comprising perioperative-functional criteria was sent to 1000 patients in 20 German centers at a median of 15 months after RP. Surgery-related items were collected from participating centers. To calculate PatR differences between approaches, a multivariate regressive base model (MVBM) was established incorporating surgical approach and demographic, center-specific, and tumor-specific criteria not primarily affected by surgical approach. An extended model (MVEM) was further adjusted by variables potentially affected by surgical approach. PatR was based on five validated questions ranging 0−100 (cutoff >15 defined as critical PatR). The response rate was 75.0%. After exclusion of patients with laparoscopic RP or stage M1b/c, the study cohort comprised 277/365 ORP/RARP patients. ORP/RARP patients had a median PatR of 15/10 (p < 0.001) and 46.2%/28.1% had a PatR >15, respectively (p < 0.001). Based on the MVBM, RARP patients showed PatR >15 relative 46.8% less frequently (p < 0.001). Consensual decision making regarding surgical approach independently reduced PatR. With the MVEM, the independent impact of both surgical approach and of consensual decision making was confirmed. This study involving centers of different care levels showed significantly lower PatR following RARP.
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Affiliation(s)
- Ingmar Wolff
- Department of Urology, University Medicine Greifswald, 17475 Greifswald, Germany
- Correspondence:
| | - Martin Burchardt
- Department of Urology, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Christian Gilfrich
- Department of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany
| | - Julia Peter
- Department of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany
| | - Martin Baunacke
- Department of Urology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Christian Thomas
- Department of Urology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Johannes Huber
- Department of Urology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
- Department of Urology, Philipps-University Marburg, 35043 Marburg, Germany
| | - Rolf Gillitzer
- Department of Urology, Klinikum Darmstadt, 64283 Darmstadt, Germany
| | - Danijel Sikic
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, 91054 Erlangen, Germany
| | - Christian Fiebig
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, 91054 Erlangen, Germany
| | - Julie Steinestel
- Department of Urology, University Hospital Augsburg, 86156 Augsburg, Germany
| | - Paola Schifano
- Department of Urology, University Hospital Augsburg, 86156 Augsburg, Germany
| | - Niklas Löbig
- Department of Urology, University Hospital Ulm, 89081 Ulm, Germany
| | - Christian Bolenz
- Department of Urology, University Hospital Ulm, 89081 Ulm, Germany
| | - Florian A. Distler
- Department of Urology, Paracelsus Medical University, 90419 Nuremberg, Germany
| | | | - Maximilian Janssen
- Department of Urology, Isarklinikum Hospital Munich, 80331 Munich, Germany
| | - David Schilling
- Department of Urology, Isarklinikum Hospital Munich, 80331 Munich, Germany
| | - Bara Barakat
- Department of Urology and Pediatric Urology, Hospital Viersen, 41747 Viersen, Germany
| | - Nina N. Harke
- Department of Urology and Urologic Oncology, Hanover Medical School, 30625 Hanover, Germany
| | - Christian Fuhrmann
- Department of Urology and Urologic Oncology, Hanover Medical School, 30625 Hanover, Germany
| | - Andreas Manseck
- Department of Urology, Klinikum Ingolstadt, 85049 Ingolstadt, Germany
| | | | - Ekkehard Geist
- Department of Urology, Klinikum Neumarkt, 92318 Neumarkt Oberpfalz, Germany
| | - Lisa Blair
- Department of Urology, Klinikum Neumarkt, 92318 Neumarkt Oberpfalz, Germany
| | - Jesco Pfitzenmaier
- Department of Urology, Evangelical Hospital Bethel, University Hospital Ostwestfalen-Lippe of the University Bielefeld, 33611 Bielefeld, Germany
| | - Bettina Reinhardt
- Department of Urology, Evangelical Hospital Bethel, University Hospital Ostwestfalen-Lippe of the University Bielefeld, 33611 Bielefeld, Germany
| | - Bernd Hoschke
- Department of Urology and Pediatric Urology, Carl-Thiem-Klinikum Cottbus, 03048 Cottbus, Germany
| | - Maximilian Burger
- Department of Urology, Caritas - St. Josef Medical Center, University of Regensburg, 93053 Regensburg, Germany
| | - Johannes Bründl
- Department of Urology, Caritas - St. Josef Medical Center, University of Regensburg, 93053 Regensburg, Germany
| | - Marco J. Schnabel
- Department of Urology, Caritas - St. Josef Medical Center, University of Regensburg, 93053 Regensburg, Germany
| | - Matthias May
- Department of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany
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