MDM Policy and PracticePub Date : 2022-12-03eCollection Date: 2022-07-01DOI: 10.1177/23814683221140866
Yiwei Zhang, Maria E Mayorga, Julie Ivy, Kristen Hassmiller Lich, Julie L Swann
{"title":"Modeling the Impact of Nonpharmaceutical Interventions on COVID-19 Transmission in K-12 Schools.","authors":"Yiwei Zhang, Maria E Mayorga, Julie Ivy, Kristen Hassmiller Lich, Julie L Swann","doi":"10.1177/23814683221140866","DOIUrl":"10.1177/23814683221140866","url":null,"abstract":"<p><p><b>Background.</b> The novel coronavirus SARS-CoV-2 spread across the world causing many waves of COVID-19. Children were at high risk of being exposed to the disease because they were not eligible for vaccination during the first 20 mo of the pandemic in the United States. While children 5 y and older are now eligible to receive a COVID-19 vaccine in the United States, vaccination rates remain low despite most schools returning to in-person instruction. Nonpharmaceutical interventions (NPIs) are important for controlling the spread of COVID-19 in K-12 schools. US school districts used varied and layered mitigation strategies during the pandemic. The goal of this article is to analyze the impact of different NPIs on COVID-19 transmission within K-12 schools. <b>Methods.</b> We developed a deterministic stratified SEIR model that captures the role of social contacts between cohorts in disease transmission to estimate COVID-19 incidence under different NPIs including masks, random screening, contact reduction, school closures, and test-to-stay. We designed contact matrices to simulate the contact patterns between students and teachers within schools. We estimated the proportion of susceptible infected associated with each intervention over 1 semester under the Omicron variant. <b>Results.</b> We find that masks and reducing contacts can greatly reduce new infections among students. Weekly screening tests also have a positive impact on disease mitigation. While self-quarantining symptomatic infections and school closures are effective measures for decreasing semester-end infections, they increase absenteeism. <b>Conclusion.</b> The model provides a useful tool for evaluating the impact of a variety of NPIs on disease transmission in K-12 schools. While the model is tested under Omicron variant parameters in US K-12 schools, it can be adapted to study other populations under different disease settings.</p><p><strong>Highlights: </strong>A stratified SEIR model was developed that captures the role of social contacts in K-12 schools to estimate COVID-19 transmission under different nonpharmaceutical interventions.While masks, random screening, contact reduction, school closures, and test-to-stay are all beneficial interventions, masks and contact reduction resulted in the greatest reduction in new infections among students from the tested scenarios.Layered interventions provide more benefits than implementing interventions independently.</p>","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":"7 2","pages":"23814683221140866"},"PeriodicalIF":1.9,"publicationDate":"2022-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/10/14/10.1177_23814683221140866.PMC9720473.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9936804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MDM Policy and PracticePub Date : 2022-07-29eCollection Date: 2022-07-01DOI: 10.1177/23814683221116362
Karl Johnson, Caitlin B Biddell, Kristen Hassmiller Lich, Julie Swann, Paul Delamater, Maria Mayorga, Julie Ivy, Raymond L Smith, Mehul D Patel
{"title":"Use of Modeling to Inform Decision Making in North Carolina during the COVID-19 Pandemic: A Qualitative Study.","authors":"Karl Johnson, Caitlin B Biddell, Kristen Hassmiller Lich, Julie Swann, Paul Delamater, Maria Mayorga, Julie Ivy, Raymond L Smith, Mehul D Patel","doi":"10.1177/23814683221116362","DOIUrl":"10.1177/23814683221116362","url":null,"abstract":"<p><p><b>Background.</b> The COVID-19 pandemic has popularized computer-based decision-support models, which are commonly used to inform decision making amidst complexity. Understanding what organizational decision makers prefer from these models is needed to inform model development during this and future crises. <b>Methods.</b> We recruited and interviewed decision makers from North Carolina across 9 sectors to understand organizational decision-making processes during the first year of the COVID-19 pandemic (<i>N</i> = 44). For this study, we identified and analyzed a subset of responses from interviewees (<i>n</i> = 19) who reported using modeling to inform decision making. We used conventional content analysis to analyze themes from this convenience sample with respect to the source of models and their applications, the value of modeling and recommended applications, and hesitancies toward the use of models. <b>Results.</b> Models were used to compare trends in disease spread across localities, estimate the effects of social distancing policies, and allocate scarce resources, with some interviewees depending on multiple models. Decision makers desired more granular models, capable of projecting disease spread within subpopulations and estimating where local outbreaks could occur, and incorporating a broad set of outcomes, such as social well-being. Hesitancies to the use of modeling included doubts that models could reflect nuances of human behavior, concerns about the quality of data used in models, and the limited amount of modeling specific to the local context. <b>Conclusions.</b> Decision makers perceived modeling as valuable for informing organizational decisions yet described varied ability and willingness to use models for this purpose. These data present an opportunity to educate organizational decision makers on the merits of decision-support modeling and to inform modeling teams on how to build more responsive models that address the needs of organizational decision makers.</p><p><strong>Highlights: </strong>Organizations from a diversity of sectors across North Carolina (including public health, education, business, government, religion, and public safety) have used decision-support modeling to inform decision making during COVID-19.Decision makers wish for models to project the spread of disease, especially at the local level (e.g., individual cities and counties), and to help estimate the outcomes of policies.Some organizational decision makers are hesitant to use modeling to inform their decisions, stemming from doubts that models could reflect nuances of human behavior, concerns about the accuracy and precision of data used in models, and the limited amount of modeling available at the local level.</p>","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":"7 2","pages":"23814683221116362"},"PeriodicalIF":1.9,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10311764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diana Poehler, Joseph Czerniecki, Daniel Norvell, Alison Henderson, James Dolan, Beth Devine
{"title":"The Development and Pilot Study of a Multiple Criteria Decision Analysis (MCDA) to Compare Patient and Provider Priorities around Amputation-Level Outcomes.","authors":"Diana Poehler, Joseph Czerniecki, Daniel Norvell, Alison Henderson, James Dolan, Beth Devine","doi":"10.1177/23814683221143765","DOIUrl":"https://doi.org/10.1177/23814683221143765","url":null,"abstract":"<p><p><b>Background.</b> Patients with chronic limb-threatening ischemia who are facing a lower-limb amputation often require a transmetatarsal amputation (TMA) or a transtibial amputation (TTA). A TMA preserves more of the patient's limb and may provide better mobility but has a lower probability of primary wound healing relative to a TTA and may result in additional amputation surgeries. Understanding the differences in how patients and providers prioritize key outcomes may enhance the amputation decisional process. <b>Purpose.</b> To develop and pilot test a multiple criteria decision analysis (MCDA) tool to elicit patient values around amputation-level selection and compare those with provider perceptions of patient values. <b>Methods.</b> We conducted literature reviews to identify and measure the performance of criteria important to patients. Because the quantitative literature was sparse, we developed a Sheffield elicitation framework exercise to elicit criteria performance from subject matter experts. We piloted our MCDA among patients and providers to understand tool acceptability and preliminarily assess differences in patient and provider priorities. <b>Results.</b> Five criteria of importance were identified: ability to walk, healing after amputation surgery, rehabilitation intensity, limb length, and prosthetic/orthotic device ease. Patients and providers successfully completed the MCDA and identified challenges in doing so. We propose potential solutions to these challenges. The results of the pilot test suggest differences in patient and provider outcome priorities. <b>Limitations.</b> The pilot test study enrolled a small sample of providers and patients. <b>Conclusions.</b> We successfully implemented the pilot study to patients and providers, received helpful feedback, and identified solutions to improve the tool. <b>Implications.</b> Once modified, our MCDA tool will be suitable for wider rollout.</p><p><strong>Highlights: </strong>Patients and providers have successfully completed our MCDA, and patients feel the MCDA may be useful in clinical practice.We encountered several methodologic challenges and identified approaches to ease participant burden.When data are sparse, using the Sheffield elicitation framework is helpful in creating a performance matrix, although patients relied largely on their amputation experiences to complete the exercise. Blinding the alternatives may help patients better understand the process.</p>","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":"7 2","pages":"23814683221143765"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/da/c4/10.1177_23814683221143765.PMC9761219.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10735674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brian De, Lisa M Lowenstein, Kelsey L Corrigan, Lauren M Andring, Deborah A Kuban, Scott B Cantor, Robert J Volk, Karen E Hoffman
{"title":"Patients' Preferences for Androgen Deprivation Therapy in the Treatment of Intermediate-Risk Prostate Cancer.","authors":"Brian De, Lisa M Lowenstein, Kelsey L Corrigan, Lauren M Andring, Deborah A Kuban, Scott B Cantor, Robert J Volk, Karen E Hoffman","doi":"10.1177/23814683221137752","DOIUrl":"https://doi.org/10.1177/23814683221137752","url":null,"abstract":"<p><p><b>Background.</b> For men with intermediate-risk prostate cancer (IRPC), adding short-term androgen deprivation therapy (ADT) to external beam radiation therapy (EBRT) has shown efficacy, but men are often reluctant to accept it because of its impact on quality of life. <b>Methods.</b> We conducted time tradeoffs (score of 1 = perfect health and 0 = death) and probability tradeoffs with patients aged 51 to 78 y who had received EBRT for IRPC within the past 2 y. Of 40 patients, 20 had received 6 mo of ADT and 20 had declined. Utility assessments explored 4 ADT-related side effects: hot flashes, fatigue, loss of libido/erectile dysfunction, and weight gain. <b>Results.</b> The most commonly reported \"worst\" treatment-related complication of ADT was fatigue (50% in both cohorts) followed by reduced libido/erectile dysfunction (40% in both cohorts). The utilities for fatigue were mean = 0.71 and median = 0.92 and for reduced libido/erectile dysfunction were mean = 0.81 and median = 0.92. Utilities did not differ significantly between cohorts. Assuming a 6-mo course of ADT, men reported being willing to trade 3 mo of life expectancy to avoid fatigue due to ADT and 1.8 mo to avoid sexual side effects. Patients in the ADT cohort were willing to accept the side effects of ADT in exchange for a mean 8% absolute increase in survival, whereas patients in the no ADT cohort required a 16% increase (<i>P</i> < 0.001). <b>Conclusions.</b> When considering treatment with ADT, men with IRPC identified fatigue and sexual dysfunction as the most bothersome side effects. Patients who declined ADT expected a larger survival benefit than those who opted for treatment. Both groups expected a survival benefit exceeding that shown by recent trials, suggesting some men may be selecting treatments inconsistent with their preferences.</p><p><strong>Highlights: </strong>This study demonstrates that prostate cancer patients receiving radiation therapy are reluctant to receive androgen deprivation therapy (ADT) most commonly due to anticipated fatigue and loss of libido/erectile dysfunction.Men who had received ADT reported they would require an average 8% absolute increase in survival to tolerate its side effects, whereas those who declined ADT would require an average 16% increase.Required thresholds are well above the estimated absolute survival benefit for ADT demonstrated in recent clinical trials, suggesting an unmet need for improved patient education regarding the risks and benefits of ADT.</p>","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":"7 2","pages":"23814683221137752"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/82/0d/10.1177_23814683221137752.PMC9669695.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9329191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Health Utility of Drinkers' Family Members: A Secondary Analysis of a US Population Data Set.","authors":"Benjamin Thornburg, Jeremy W Bray, Eve Wittenberg","doi":"10.1177/23814683221128507","DOIUrl":"https://doi.org/10.1177/23814683221128507","url":null,"abstract":"<p><p><b>Background.</b> Problematic alcohol use is known to harm individuals surrounding the drinker. This study described the health utility of people who reported having a family member(s) whom they perceived as a \"problem drinker.\"<b>Methods.</b> We conducted a secondary analysis of the US National Epidemiologic Survey of Alcohol and Related Conditions Wave 3 (NESARC-III, 2012-13) data to estimate the independent associations of a family member's problem drinking on the respondent's health utility, also known as health-related quality of life, assessed via the SF-6D. Participants included 29,159 noninstitutionalized adults, of whom 21,808 reported perceiving a family member or members as having a drinking problem at any point in that person's life. Respondent drinking was assessed via self-report and diagnostic interview. We used population-weighted multivariate regression to estimate disutility. <b>Results.</b> After adjusting for the respondent's own alcohol consumption, alcohol use disorder (AUD), family structure, and sociodemographic characteristics, the mean decrement in SF-6D score associated with perceiving a family member as a problem drinker ranged from 0.033 (<i>P</i> < 0.001) for a spouse/partner to 0.023 (<i>P</i> < 0.001) for a grandparent, sibling, aunt, or uncle. The mean decrement in SF-6D score from having AUD oneself was 0.039 (<i>P</i> < 0.001). <b>Conclusions.</b> Perceived problem drinking within one's family is associated with statistically significant losses in health utility, the magnitude of which is dependent on relationship type. The adverse consequences associated with problem drinking in the family may rival having AUD oneself. <b>Implications.</b> Family-oriented approaches to AUD interventions may confer outsize benefits, especially if focused on the spouse or partner. Economic evaluation of alcohol misuse could be made more accurate through the inclusion of family spillover effects.</p><p><strong>Highlights: </strong>Spillover effects from problem drinking in the family vary by relationship type.One's perception of their spouse or child as having a drinking problem is associated with a utility decrement of equal magnitude to having alcohol use disorder oneself.Medical decision makers should consider the outsize effects of family spillovers in treatment decisions in the context of alcohol consumption, particularly among spouses and children of problem drinkers.Economic evaluation should consider how to incorporate family spillover effects from problem drinking in alcohol-related models.</p>","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":"7 2","pages":"23814683221128507"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f5/c8/10.1177_23814683221128507.PMC9520150.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9376416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marta Wilson-Barthes, Paula Braitstein, Allison DeLong, David Ayuku, Lukoye Atwoli, Edwin Sang, Omar Galárraga
{"title":"Cost Utility of Supporting Family-Based Care to Prevent HIV and Deaths among Orphaned and Separated Children in East Africa: A Markov Model-Based Simulation.","authors":"Marta Wilson-Barthes, Paula Braitstein, Allison DeLong, David Ayuku, Lukoye Atwoli, Edwin Sang, Omar Galárraga","doi":"10.1177/23814683221143782","DOIUrl":"https://doi.org/10.1177/23814683221143782","url":null,"abstract":"<p><p><b>Purpose.</b> Strengthening family-based care is a key policy response to the more than 15 million orphaned and separated children who have lost 1 or both parents in sub-Saharan Africa. This analysis estimated the cost-effectiveness of family-based care environments for preventing HIV and death in this population. <b>Design.</b> We developed a time-homogeneous Markov model to simulate the incremental cost per disability-adjusted life year (DALY) averted by supporting family-based environments caring for orphaned and separated children in western Kenya. Model parameters were based on data from the longitudinal OSCAR's Health and Well-Being Project and published literature. We used a societal perspective, annual cycle length, and 3% discount rate. Incremental cost-effectiveness ratios were simulated over 5- to 15-y horizons, comparing family-based settings to street-based \"self-care.\" Parameter uncertainty was addressed via deterministic and probabilistic sensitivity analyses. <b>Results.</b> Under base-case assumptions, family-based environments prevented 422 HIV infections and 298 deaths in a simulated cohort of 1,000 individuals over 10 y. Compared with street-based self-care, family-based care had an incremental cost of $2,528 per DALY averted (95% confidence interval [CI]: 1,798, 2,599) and $2,355 per quality-adjusted life year gained (95% CI: 1,667, 2,413). The probability of family-based care being highly cost-effective was >80% at a willingness-to-pay (WTP) threshold of $2,250/DALY averted. Households receiving government cash transfers had minimally higher cost-effectiveness ratios than households without cash transfers but were still cost-effective at a WTP threshold of twice Kenya's GDP per capita. <b>Conclusions.</b> Compared with the status quo of street-based self-care, family-based environments offer a cost-effective approach for preventing HIV and death among orphaned children in lower-middle income countries. Decision makers should consider increasing resources to these environments in tandem with social protection programs.</p><p><strong>Highlights: </strong>UNICEF and more than 200 other international organizations endorsed efforts to redirect services toward family-based care as part of the 2019 UN Resolution on the Rights of the Child; yet this study is one of the first to quantify the cost-effectiveness of family-based care environments serving some of the world's most vulnerable children.This health economic modeling analysis found that family-based environments would prevent 422 HIV infections and 298 deaths in a cohort of 1,000 orphaned and separated children over a 10-y time horizon.Compared with street-based \"self-care,\" family-based care resulted in an incremental cost of $2,528 per DALY averted (95% CI: 1,798, 2,599) and $2,355 per quality-adjusted life year gained (95% CI: 1,667, 2,413) after 10 y.Annual per-child expenditures for children living in family-based care environments in sub-Saharan Africa could pot","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":"7 2","pages":"23814683221143782"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/04/8a/10.1177_23814683221143782.PMC9806382.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10481462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K D Valentine, Lauren Leavitt, Steven J Atlas, Emily Chen, Jasmine Ha, Sanja Percac-Lima, Kathleen M Fairfield, Neil Korsen, Paul K J Han, James M Richter, Leigh Simmons, Karen R Sepucha
{"title":"Cross-sectional Survey Examining Patient Attitudes and Preferences for Rescheduling Screening Colonoscopies Canceled due to the COVID-19 Pandemic.","authors":"K D Valentine, Lauren Leavitt, Steven J Atlas, Emily Chen, Jasmine Ha, Sanja Percac-Lima, Kathleen M Fairfield, Neil Korsen, Paul K J Han, James M Richter, Leigh Simmons, Karen R Sepucha","doi":"10.1177/23814683221141377","DOIUrl":"https://doi.org/10.1177/23814683221141377","url":null,"abstract":"<p><p><b>Background.</b> Early in the COVID-19 pandemic colonoscopies for colorectal cancer (CRC) screening were canceled. Patient perceptions of the benefits and risks of routine screening relative to health concerns associated with the COVID-19 pandemic were unknown. <b>Purpose.</b> Assess patient anxiety, worry, and interest in CRC screening during the COVID-19 pandemic. <b>Methods.</b> A random sample of 200 patients aged 45 to 75 y with colonoscopy cancellation due to COVID-19 in March to May 2020 were surveyed. Anxiety, COVID-19 and CRC risk perceptions, COVID-19 and CRC worry, likelihood of following through with colonoscopy in the next month, and interest in alternatives to colonoscopy were assessed. Subsequent screening was tracked for 12 mo. <b>Results.</b> Respondents (<i>N</i> = 127/200, 63.5%) were on average 60 y old, female (59%), college educated (62% college degree or more), and White (91%). A substantial portion of patients (46%) stated they may not follow through with a colonoscopy in the next month. There was greater interest in stool-based testing than in delaying screening (48% v. 26%). Women, older patients, and patients indicating tolerance of uncertainty due to complexity reported they were less likely to follow through with colonoscopy in the next month. Greater interest in stool-based testing was related to lower perceptions of CRC risk. Greater interest in delaying screening was related to less worry about CRC and less tolerance of risk. Over 12 mo, 60% of participants completed screening. Patients who stated they were more likely to screen in the next month were more likely to complete CRC screening (<i>P</i> = 0.01). <b>Conclusions.</b> Respondents who had a colonoscopy canceled during the COVID-19 pandemic varied in interest in rescheduling the procedure. A shared decision-making approach may help patients address varying concerns and select the best approach to screening for them.</p><p><strong>Highlights: </strong>In the wake of the first wave of the COVID-19 pandemic, almost half of patients stated they were not likely to follow through with a colonoscopy in the short term, about half were interested in screening with a stool-based test, and only one-quarter were interested in delaying screening until next year.Patients who perceived themselves at higher risk of colorectal cancer were less interested in stool-based testing, and patients who were more worried about colorectal cancer were less interested in delaying screening.A shared decision-making approach may be necessary to tailor screening discussions for patients during subsequent waves of the pandemic, other occasions where resources are limited and patient preferences vary, or where patients hold conflicting views of screening.</p>","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":"7 2","pages":"23814683221141377"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/30/10/10.1177_23814683221141377.PMC9749064.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10750255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victoria Federico Paly, M. Kurt, Lirong Zhang, M. Butler, O. Michielin, A. Amadi, E. Hernlund, H. Johnson, S. Kotapati, A. Moshyk, J. Borrill
{"title":"Heterogeneity in Survival with Immune Checkpoint Inhibitors and Its Implications for Survival Extrapolations: A Case Study in Advanced Melanoma","authors":"Victoria Federico Paly, M. Kurt, Lirong Zhang, M. Butler, O. Michielin, A. Amadi, E. Hernlund, H. Johnson, S. Kotapati, A. Moshyk, J. Borrill","doi":"10.1177/23814683221089659","DOIUrl":"https://doi.org/10.1177/23814683221089659","url":null,"abstract":"Background Survival heterogeneity and limited trial follow-up present challenges for estimating lifetime benefits of oncology therapies. This study used CheckMate 067 (NCT01844505) extended follow-up data to assess the predictive accuracy of standard parametric and flexible models in estimating the long-term overall survival benefit of nivolumab plus ipilimumab (an immune checkpoint inhibitor combination) in advanced melanoma. Methods Six sets of survival models (standard parametric, piecewise, cubic spline, mixture cure, parametric mixture, and landmark response models) were independently fitted to overall survival data for treatments in CheckMate 067 (nivolumab plus ipilimumab, nivolumab, and ipilimumab) using successive data cuts (28, 40, 52, and 60 mo). Standard parametric models allow survival extrapolation in the absence of a complex hazard. Piecewise and cubic spline models allow additional flexibility in fitting the hazard function. Mixture cure, parametric mixture, and landmark response models provide flexibility by explicitly incorporating survival heterogeneity. Sixty-month follow-up data, external ipilimumab data, and clinical expert opinion were used to evaluate model estimation accuracy. Lifetime survival projections were compared using a 5% discount rate. Results Standard parametric, piecewise, and cubic spline models underestimated overall survival at 60 mo for the 28-mo data cut. Compared with other models, mixture cure, parametric mixture, and landmark response models provided more accurate long-term overall survival estimates versus external data, higher mean survival benefit over 20 y for the 28-mo data cut, and more consistent 20-y mean overall survival estimates across data cuts. Conclusion This case study demonstrates that survival models explicitly incorporating survival heterogeneity showed greater accuracy for early data cuts than standard parametric models did, consistent with similar immune checkpoint inhibitor survival validation studies in advanced melanoma. Research is required to assess generalizability to other tumors and disease stages. Highlights Given that short clinical trial follow-up periods and survival heterogeneity introduce uncertainty in the health technology assessment of oncology therapies, this study evaluated the suitability of conventional parametric survival modeling approaches as compared with more flexible models in the context of immune checkpoint inhibitors that have the potential to provide lasting survival benefits. This study used extended follow-up data from the phase III CheckMate 067 trial (NCT01844505) to assess the predictive accuracy of standard parametric models in comparison with more flexible methods for estimating the long-term survival benefit of the immune checkpoint inhibitor combination of nivolumab plus ipilimumab in advanced melanoma. Mixture cure, parametric mixture, and landmark response models provided more accurate estimates of long-term overall survival versus external d","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48977462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christina Guerrier, Cara McDonnell, Tanja Magoc, Jennifer N Fishe, Christopher A Harle
{"title":"Understanding Health Care Administrators' Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System.","authors":"Christina Guerrier, Cara McDonnell, Tanja Magoc, Jennifer N Fishe, Christopher A Harle","doi":"10.1177/23814683221089844","DOIUrl":"https://doi.org/10.1177/23814683221089844","url":null,"abstract":"<p><p><b>Objective.</b> The COVID-19 pandemic created an unprecedented strain on the health care system, and administrators had to make many critical decisions to respond appropriately. This study sought to understand how health care administrators used data and information for decision making during the first 6 mo of the COVID-19 pandemic. <b>Materials and Methods.</b> We conducted semistructured interviews with administrators across University of Florida (UF) Health. We performed an inductive thematic analysis of the transcripts. <b>Results.</b> Four themes emerged from the interviews: 1) common types of health systems or hospital operations data; 2) public health and other external data sources; 3) data interaction, integration, and exchange; and 4) novelty and evolution in data, information, or tools used over time. Participants illustrated the organizational, public health, and regional information they considered essential (e.g., hospital census, community positivity rate, etc.). Participants named specific challenges they faced due to data quality and timeliness. Participants elaborated on the necessity of data integration, validation, and coordination across different boundaries (e.g., different hospital systems in the same metro areas, public health agencies at the local, state, and federal level, etc.). Participants indicated that even within the first 6 mo of the COVID-19 pandemic, the data and tools used for making critical decisions changed. <b>Discussion.</b> While existing medical informatics infrastructure can facilitate decision making in pandemic response, data may not always be readily available in a usable format. Interoperable infrastructure and data standardization across multiple health systems would help provide more reliable and timely information for decision making. <b>Conclusion.</b> Our findings contribute to future discussions of improving data infrastructure and developing harmonized data standards needed to facilitate critical decisions at multiple health care system levels.</p><p><strong>Highlights: </strong>The study revealed common health systems or hospital operations data and information used in decision making during the first 6 mo of the COVID-19 pandemic.Participants described commonly used internal data sources, such as resource and financial reports and dashboards, and external data sources, such as federal, state, and local public health data.Participants described challenges including poor timeliness and limited local relevance of external data as well as poor integration of data sources within and across organizational boundaries.Results suggest the need for continued integration and standardization of health data to support health care administrative decision making during pandemics or other emergencies.</p>","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":"7 1","pages":"23814683221089844"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b1/f3/10.1177_23814683221089844.PMC8972941.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9338735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Choice Architecture on Sepsis Fluid Resuscitation Decisions: An Exploratory Survey-Based Study","authors":"J. Mansoori, B. Clark, E. Havranek, I. Douglas","doi":"10.1177/23814683221099454","DOIUrl":"https://doi.org/10.1177/23814683221099454","url":null,"abstract":"Background Discordance with well-known sepsis resuscitation guidelines is often attributed to rational assessments of patients at the point of care. Conversely, we sought to explore the impact of choice architecture (i.e., the environment, manner, and behavioral psychology within which options are presented and decisions are made) on decisions to prescribe guideline-discordant fluid volumes. Design We conducted an electronic, survey-based study using a septic shock clinical vignette. Physicians from multiple specialties and training levels at an academic tertiary-care hospital and academic safety-net hospital were randomized to distinct answer sets: control (6 fluid options), time constraint (6 fluid options with a 10-s limit to answer), or choice overload (25 fluid options). The primary outcome was discordance with Surviving Sepsis Campaign fluid resuscitation guidelines. We also measured response times and examined the relationship between each choice architecture intervention group, response time, and guideline discordance. Results A total of 189 of 624 (30.3%) physicians completed the survey. Time spent answering the vignette was reduced in time constraint (9.5 s, interquartile range [IQR] 7.3 s to 10.0 s, P < 0.001) and increased in choice overload (56.8 s, IQR 35.9 s to 86.7 s, P < 0.001) groups compared with control (28.3 s, IQR 20.0 s to 44.6 s). In contrast, the relative risk of guideline discordance was higher in time constraint (2.07, 1.33 to 3.23, P = 0.001) and lower in choice overload (0.75, 0.60, to 0.95, P =0.02) groups. After controlling for time spent reading the vignette, the overall odds of choosing guideline-discordant fluid volumes were reduced for every additional second spent answering the vignette (OR 0.98, 0.97, to 0.99, P < 0.001). Conclusions Choice architecture may affect fluid resuscitation decisions in sepsis regardless of patient conditions, warranting further investigation in real-world contexts. These effects should be considered when implementing practice guidelines. Highlights Time constrained clinical decision making was associated with increased proportion of guideline-discordant responses and relative risk of failure to prescribe guideline-recommended intravenous fluids using a sepsis clinical vignette. Choice overload increased response times and was associated with decreased proportion of guideline-discordant responses and relative risk of guideline discordance. Physician odds of choosing to prescribe guideline-discordant fluid volumes were reduced with increased deliberation as measured by response times. Clinicians, researchers, policy makers, and administrators should consider the effect of choice architecture on clinical decision making and guideline discordance when implementing guidelines for sepsis and other acute care conditions.","PeriodicalId":36567,"journal":{"name":"MDM Policy and Practice","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46807833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}