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Ascher SB, Kravitz RL, Scherzer R, Berry JD, de Lemos JA, Estrella MM, Tancredi DJ, Killeen AA, Ix JH, Shlipak MG. Incorporating Individual-Level Treatment Effects and Outcome Preferences Into Personalized Blood Pressure Target Recommendations. J Am Heart Assoc 2024; 13:e033995. [PMID: 39136305 DOI: 10.1161/jaha.124.033995] [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: 01/05/2024] [Accepted: 05/13/2024] [Indexed: 08/22/2024]
Abstract
BACKGROUND There are no shared decision-making frameworks for selecting blood pressure (BP) targets for individuals with hypertension. This study addressed whether results from the SPRINT (Systolic Blood Pressure Intervention Trial) could be tailored to individuals using predicted risks and simulated preferences. METHODS AND RESULTS Among 8202 SPRINT participants, Cox models were developed and internally validated to predict each individual's absolute difference in risk from intensive versus standard BP lowering for cardiovascular events, cognitive impairment, death, and serious adverse events (AEs). Individual treatment effects were combined using simulated preference weights into a net benefit, which represents a weighted sum of risk differences across outcomes. Net benefits were compared among those above versus below the median AE risk. In simulations for which cardiovascular, cognitive, and death events had much greater weight than the AEs of BP lowering, the median net benefit was 3.3 percentage points (interquartile range [IQR], 2.0-5.7), and 100% of participants had a net benefit favoring intensive BP lowering. When simulating benefits and harms to have similar weights, the median net benefit was 0.8 percentage points (IQR, 0.2-2.2), and 87% had a positive net benefit. Compared with participants at lower risk of AEs from BP lowering, those at higher risk had a greater net benefit from intensive BP lowering despite experiencing more AEs (P<0.001 in both simulations). CONCLUSIONS Most SPRINT participants had a predicted net benefit that favored intensive BP lowering, but the degree of net benefit varied considerably. Tailoring BP targets using each patient's risks and preferences may provide more refined BP target recommendations.
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Affiliation(s)
- Simon B Ascher
- Department of Internal Medicine, Kidney Health Research Collaborative San Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA
- Department of Internal Medicine University of California Davis Sacramento CA
| | - Richard L Kravitz
- Department of Internal Medicine University of California Davis Sacramento CA
| | - Rebecca Scherzer
- Department of Internal Medicine, Kidney Health Research Collaborative San Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA
| | - Jarett D Berry
- Department of Internal Medicine University of Texas at Tyler Health Science Center Tyler TX
| | - James A de Lemos
- Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX
| | - Michelle M Estrella
- Department of Internal Medicine, Kidney Health Research Collaborative San Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA
| | - Daniel J Tancredi
- Department of Pediatrics University of California Davis Sacramento CA
| | - Anthony A Killeen
- Department of Laboratory Medicine and Pathology University of Minnesota Minneapolis MN
| | - Joachim H Ix
- Division of Nephrology-Hypertension University of California San Diego La Jolla CA
- Nephrology Section, Veterans Affairs San Diego Healthcare System San Diego CA
| | - Michael G Shlipak
- Department of Internal Medicine, Kidney Health Research Collaborative San Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA
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Yebyo HG, van Wifferen F, Pluymen LPM, Leeflang MMG, Dekker E, Coupé VMH, Puhan MA, Greuter MJE, Stegeman I. Benefit-Harm Analysis for Informed Decision Making on Participating in Colorectal Cancer Screening: A Modeling Study. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2024; 27:397-404. [PMID: 38141815 DOI: 10.1016/j.jval.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 12/25/2023]
Abstract
OBJECTIVES To facilitate informed decision making on participating in colorectal cancer (CRC) screening, we assessed the benefit-harm balance of CRC screening for a wide range of subgroups over different time horizons. METHODS The study combined incidence proportions of benefits and harms of (not) participating in CRC screening estimated by the Adenoma and Serrated pathway to CAncer microsimulation model, a preference eliciting survey, and benefit-harm balance modeling combining all outcomes to determine the net health benefit of CRC screening over 10, 20, and 30 years. Probability of net health benefit was estimated for 210 different subgroups based on age, sex, previous participation in CRC screening, and lifestyle. RESULTS CRC screening was net beneficial in 183 of 210 subgroups over 30 years (median probability [MP] of 0.79, interquartile range [IQR] of 0.69-0.85) across subgroups. Net health benefit was greater for men (MP 0.82; IQR 0.69-0.89) than women (MP 0.76; IQR 0.67-0.83) and for those without history of participation in previous screenings (MP 0.84; IQR 0.80-0.89) compared with those with (MP 0.69; IQR 0.59-0.75). Net health benefit decreased with increasing age, from MP of 0.84 (IQR 0.80-0.86) at age 55 to 0.61 (IQR 0.56-0.71) at age 75. Shorter time horizons led to lower benefit, with MP of 0.70 (IQR 0.62-0.80) over 20 years and 0.54 (IQR 0.48-0.67) over 10 years. CONCLUSIONS Our benefit-harm analysis provides information about net health benefit of screening participation, based on important characteristics and preferences of individuals, which could assist screening invitees in making informed decisions on screening participation.
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Affiliation(s)
- Henock G Yebyo
- University of Zurich, Epidemiology, Biostatistics and Prevention Institute, Zürich, Zürich, Switzerland; Ldwig Maximilian University (LMU), Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Public Health and Health Services Research, Munich, Germany
| | - Francine van Wifferen
- Amsterdam UMC location Vrije Universiteit, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam Public Health, Methodology, Amsterdam, The Netherlands.
| | - Linda P M Pluymen
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands; Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Amsterdam, The Netherlands
| | - Mariska M G Leeflang
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands; Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Amsterdam, The Netherlands
| | - Evelien Dekker
- Amsterdam UMC location University of Amsterdam, Gastroenterology and Hepatology, Amsterdam, The Netherlands
| | - Veerle M H Coupé
- Amsterdam UMC location Vrije Universiteit, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - Milo A Puhan
- University of Zurich, Epidemiology, Biostatistics and Prevention Institute, Zürich, Zürich, Switzerland
| | - Marjolein J E Greuter
- Amsterdam UMC location Vrije Universiteit, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - Inge Stegeman
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands; Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Amsterdam, The Netherlands; University Medical Centre Utrecht, Department of Otorhinolaryngology and Head & Neck Surgery, Utrecht, The Netherlands; University Medical Centre Utrecht, Brain Centre, Utrecht, The Netherlands
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Terman SW, Aschmann HE, Hutton DW, Burke JF. Best-worst scaling preferences among patients with well-controlled epilepsy: Pilot results. PLoS One 2023; 18:e0282658. [PMID: 36867630 PMCID: PMC9983827 DOI: 10.1371/journal.pone.0282658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 02/20/2023] [Indexed: 03/04/2023] Open
Abstract
Epilepsy is a common, serious condition. Fortunately, seizure risk decreases with increasing seizure-free time on antiseizure medications (ASMs). Eventually, patients may consider whether to stop ASMs, which requires weighing treatment benefit versus burden. We developed a questionnaire to quantify patient preferences relevant to ASM decision-making. Respondents rated how concerning they would finding relevant items (e.g., seizure risks, side effects, cost) on a Visual Analogue Scale (VAS, 0-100) and then repeatedly chose the most and least concerning item from subsets (best-worst scaling, BWS). We pretested with neurologists, then recruited adults with epilepsy who were seizure-free at least one year. Primary outcomes were recruitment rate, and qualitative and Likert-based feedback. Secondary outcomes included VAS ratings and best-minus-worst scores. Thirty-one of 60 (52%) contacted patients completed the study. Most patients felt VAS questions were clear (28; 90%), easy to use (27; 87%), and assessed preferences well (25; 83%). Corresponding results for BWS questions were 27 (87%), 29 (97%), and 23 (77%). Physicians suggested adding a 'warmup' question showing a completed example and simplifying terminology. Patients suggested ways to clarify instructions. Cost, inconvenience of taking medication, and laboratory monitoring were the least concerning items. Cognitive side effects and a 50% seizure risk in the next year were the most concerning items. Twelve (39%) of patients made at least one 'inconsistent choice' for example ranking a higher seizure risk as lower concern compared with a lower seizure risk, though 'inconsistent choices' represented only 3% of all question blocks. Our recruitment rate was favorable, most patients agreed the survey was clear, and we describe areas for improvement. 'Inconsistent' responses may lead us to collapse seizure probability items into a single 'seizure' category. Evidence regarding how patients weigh benefits and harms may inform care and guideline development.
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Affiliation(s)
- Samuel W. Terman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, United States of America
- * E-mail:
| | - Hélène E. Aschmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
- Epidemiology Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - David W. Hutton
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - James F. Burke
- Department of Neurology, the Ohio State University, Columbus, Ohio, United States of America
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Aschmann HE, McNeil JJ, Puhan MA. Large-scale prevention trials could provide stronger evidence for decision-makers: Opportunities to design and report with a focus on the benefit–harm balance. Clin Trials 2022; 19:224-226. [PMID: 35152791 PMCID: PMC9036154 DOI: 10.1177/17407745211068549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Hélène E Aschmann
- Epidemiology, Biostatistics and Prevention Institute, Department of Epidemiology, University of Zurich, Zurich, Switzerland
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - John J McNeil
- School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Milo A Puhan
- Epidemiology, Biostatistics and Prevention Institute, Department of Epidemiology, University of Zurich, Zurich, Switzerland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Aschmann HE, Boyd CM, Robbins CW, Chan WV, Mularski RA, Bennett WL, Sheehan OC, Wilson RF, Bayliss EA, Leff B, Armacost K, Glover C, Maslow K, Mintz S, Puhan MA. Informing Patient-Centered Care Through Stakeholder Engagement and Highly Stratified Quantitative Benefit-Harm Assessments. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2020; 23:616-624. [PMID: 32389227 DOI: 10.1016/j.jval.2019.11.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 11/01/2019] [Accepted: 11/16/2019] [Indexed: 06/11/2023]
Abstract
OBJECTIVES In a previous project aimed at informing patient-centered care for people with multiple chronic conditions, we performed highly stratified quantitative benefit-harm assessments for 2 top priority questions. In this current work, our goal was to describe the process and approaches we developed and to qualitatively glean important elements from it that address patient-centered care. METHODS We engaged patients, caregivers, clinicians, and guideline developers as stakeholder representatives throughout the process of the quantitative benefit-harm assessment and investigated whether the benefit-harm balance differed based on patient preferences and characteristics (stratification). We refined strategies to select the most applicable, valid, and precise evidence. RESULTS Two processes were important when assessing the balance of benefits and harms of interventions: (1) engaging stakeholders and (2) stratification by patient preferences and characteristics. Engaging patients and caregivers through focus groups, preference surveys, and as co-investigators provided value in prioritizing research questions, identifying relevant clinical outcomes, and clarifying the relative importance of these outcomes. Our strategies to select evidence for stratified benefit-harm assessments considered consistency across outcomes and subgroups. By quantitatively estimating the range in the benefit-harm balance resulting from true variation in preferences, we clarified whether the benefit-harm balance is preference sensitive. CONCLUSIONS Our approaches for engaging patients and caregivers at all phases of the stratified quantitative benefit-harm assessments were feasible and revealed how sensitive the benefit-harm balance is to patient characteristics and individual preferences. Accordingly, this sensitivity can suggest to guideline developers when to tailor recommendations for specific patient subgroups or when to explicitly leave decision making to individual patients and their providers.
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Affiliation(s)
- Hélène E Aschmann
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Cynthia M Boyd
- Division of Geriatric Medicine and Gerontology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Craig W Robbins
- Center for Clinical Information Services, Kaiser Permanente Care Management Institute, Oakland, CA, USA; Kaiser Permanente National Guideline Program, Oakland, CA, USA; Colorado Permanente Medical Group, Denver, CO, USA; Guidelines International Network, Board of Trustees, Denver, CO, USA; Permanente Federation, Clinical Education MOC Portfolio, Oakland, CA, USA
| | - Wiley V Chan
- Kaiser Permanente Northwest National Guideline Program, Portland, OR, USA
| | - Richard A Mularski
- The Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA; Department of Pulmonary & Critical Care Medicine, Northwest Permanente, Portland, OR, USA; Oregon Health & Science University, Portland, OR, USA
| | - Wendy L Bennett
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Orla C Sheehan
- Division of Geriatric Medicine and Gerontology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Renée F Wilson
- Department of Health Policy and Management, The Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | - Elizabeth A Bayliss
- Institute for Research Health, Kaiser Permanente, Denver, CO, USA; University of Colorado School of Medicine, Aurora, CO, USA
| | - Bruce Leff
- Division of Geriatric Medicine and Gerontology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Karen Armacost
- Division of Geriatric Medicine and Gerontology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Carol Glover
- Division of Geriatric Medicine and Gerontology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Katie Maslow
- Division of Geriatric Medicine and Gerontology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Gerontological Society of America, Washington, DC, USA
| | - Suzanne Mintz
- Division of Geriatric Medicine and Gerontology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Family Caregiver Advocacy, Kensington, MD, USA
| | - Milo A Puhan
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
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Aschmann HE, Puhan MA, Robbins CW, Bayliss EA, Chan WV, Mularski RA, Wilson RF, Bennett WL, Sheehan OC, Yu T, Yebyo HG, Leff B, Tabano H, Armacost K, Glover C, Maslow K, Mintz S, Boyd CM. Outcome preferences of older people with multiple chronic conditions and hypertension: a cross-sectional survey using best-worst scaling. Health Qual Life Outcomes 2019; 17:186. [PMID: 31856842 PMCID: PMC6924040 DOI: 10.1186/s12955-019-1250-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 11/25/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Older people with hypertension and multiple chronic conditions (MCC) receive complex treatments and face challenging trade-offs. Patients' preferences for different health outcomes can impact multiple treatment decisions. Since evidence about outcome preferences is especially scarce among people with MCC our aim was to elicit preferences of people with MCC for outcomes related to hypertension, and to determine how these outcomes should be weighed when benefits and harms are assessed for patient-centered clinical practice guidelines and health economic assessments. METHODS We sent a best-worst scaling preference survey to a random sample identified from a primary care network of Kaiser Permanente (Colorado, USA). The sample included individuals age 60 or greater with hypertension and at least two other chronic conditions. We assessed average ranking of patient-important outcomes using conditional logit regression (stroke, heart attack, heart failure, dialysis, cognitive impairment, chronic kidney disease, acute kidney injury, fainting, injurious falls, low blood pressure with dizziness, treatment burden) and studied variation across individuals. RESULTS Of 450 invited participants, 217 (48%) completed the survey, and we excluded 10 respondents who had more than two missing choices, resulting in a final sample of 207 respondents. Participants ranked stroke as the most worrisome outcome and treatment burden as the least worrisome outcome (conditional logit parameters: 3.19 (standard error 0.09) for stroke, 0 for treatment burden). None of the outcomes were always chosen as the most or least worrisome by more than 25% of respondents, indicating that all outcomes were somewhat worrisome to respondents. Predefined subgroup analyses according to age, self-reported life-expectancy, degree of comorbidity, number of medications and antihypertensive treatment did not reveal meaningful differences. CONCLUSIONS Although some outcomes were more worrisome to patients than others, our results indicate that none of the outcomes should be disregarded for clinical practice guidelines and health economic assessments.
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Affiliation(s)
- Hélène E. Aschmann
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Milo A. Puhan
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Craig W. Robbins
- Center for Clinical Information Services, Kaiser Permanente Care Management Institute, Oakland, CA USA
- Kaiser Permanente National Guideline Program, Oakland, CA USA
- Guidelines International Network, Board of Trustees, Denver, CO USA
- Family Medicine, Colorado Permanente Medical Group, Denver, CO USA
- Clinical Education MOC Portfolio, The Permanente Federation, Oakland, CA USA
| | - Elizabeth A. Bayliss
- Institute for Health Research, Kaiser Permanente, Denver, CO USA
- Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO USA
| | - Wiley V. Chan
- Kaiser Permanente Northwest, National Guideline Program, Portland, OR USA
| | - Richard A. Mularski
- The Center for Health Research, Kaiser Permanente Northwest, Portland, OR USA
- Department of Pulmonary & Critical Care Medicine, Northwest Permanente, Portland, OR USA
- Oregon Health & Science University, Portland, OR USA
| | - Renée F. Wilson
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD USA
| | - Wendy L. Bennett
- Division of General Internal Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD USA
| | - Orla C. Sheehan
- Division of Geriatrics and Gerontology, Johns Hopkins University, School of Medicine, Baltimore, MD USA
| | - Tsung Yu
- Department of Public Health College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Henock G. Yebyo
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Bruce Leff
- Division of Geriatrics and Gerontology, Johns Hopkins University, School of Medicine, Baltimore, MD USA
| | - Heather Tabano
- Institute for Health Research, Kaiser Permanente, Denver, CO USA
| | - Karen Armacost
- Division of Geriatrics and Gerontology, Patient and Caregiver Partner Group, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Carol Glover
- Division of Geriatrics and Gerontology, Patient and Caregiver Partner Group, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Katie Maslow
- Division of Geriatrics and Gerontology, Patient and Caregiver Partner Group, Johns Hopkins University School of Medicine, Baltimore, MD USA
- Gerontological Society of America, Washington, District of Columbia, USA
| | - Suzanne Mintz
- Division of Geriatrics and Gerontology, Patient and Caregiver Partner Group, Johns Hopkins University School of Medicine, Baltimore, MD USA
- Family Caregiver Advocacy, Kensington, MD USA
| | - Cynthia M. Boyd
- Division of Geriatrics and Gerontology, Johns Hopkins University, School of Medicine, Baltimore, MD USA
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