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PURPOSE: Treatment decision-making for older adults with acute myeloid leukemia (AML) is complex and preference-sensitive. We sought to understand the patient experience of treatment decision-making to identify specific challenges in shared decision-making to improve clinical care and to inform the development of directed interventions. METHODS: We conducted in-depth interviews with newly diagnosed older (≥ 60 years) adults with AML and their caregivers following a semi-structured interview guide at a public safety net academic hospital. Interviews were digitally recorded, and qualitative thematic analysis was employed to synthesize findings. RESULTS: Eighteen in-depth interviews were conducted. Age ranged from 62 to 78 years. Patients received intermediate- (50%) or high-intensity (44%) chemotherapy or best supportive care only (6%). Six themes of patient experiences emerged from the analysis: patients (1) felt overwhelmed and in shock at diagnosis, (2) felt powerless to make decisions, (3) felt rushed and unprepared to make a treatment decision, (4) desired to follow oncologist recommendations for treatment, (5) balanced multiple competing factors during treatment decision-making, and (6) desired for ongoing engagement into their care planning. Patients reported many treatment outcomes that were important in treatment decision-making. CONCLUSIONS: Older adults with newly diagnosed AML feel devastated and in shock at their diagnosis which appears to contribute to a feeling of being overwhelmed, unprepared, and rushed into treatment decisions. Because no one factor dominated treatment decision-making for all patients, the use of strategies to elicit individual patient preferences is critical to inform treatment decisions. Interventions are needed to reduce distress and increase a sense of participation in treatment decision-making.
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Leucemia Mieloide Aguda , Oncologistas , Humanos , Idoso , Pessoa de Meia-Idade , Leucemia Mieloide Aguda/terapia , Tomada de Decisão Compartilhada , Emoções , Preferência do PacienteRESUMO
BACKGROUND: Primary care providers (PCPs) are essential to increasing access to office-based buprenorphine medication treatment for opioid use disorder (B-MOUD). Barriers to B-MOUD prescribing are well-documented, but there is little information regarding incentives to overcome these barriers. OBJECTIVE: To identify optimal incentives for PCPs to promote B-MOUD prescribing and compare incentive preferences across provider and practice characteristics. DESIGN: We surveyed PCPs using best-worst scaling (BWS) to prioritize seven potential incentives for B-MOUD prescribing (monetary compensation, paid vacation, protected time, professional development, reduced workload, service recognition, clinical resources). We then used a direct elicitation approach to determine preferred incentive levels (e.g., monetary thresholds) and types (e.g., specific clinical resources). PARTICIPANTS: Primary care physicians and advanced practice providers (APPs) at a large Department of Veterans Affairs healthcare system. MAIN MEASURES: B-MOUD prescribing incentive preferences and relative preference levels using descriptive statistics and conditional logistic regression with relative importance scale transformation (coefficients sum to 100, higher coefficient=greater importance). KEY RESULTS: Fifty-three PCPs responded (73% response), including 47% APPs and 36% from community-based clinics. Reduced workload (relative importance score=26.8), protected time (18.7), and clinical resources (16.8) were significantly more preferred (Ps < 0.001) than professional development (10.5), paid vacation (10.3), or service recognition (1.5). Relative importance of monetary compensation varied between physicians (12.6) and APPs (17.5) and between PCPs located at a medical center (11.4) versus community clinic (22.3). APPs were more responsive than physicians to compensation increases of $5000 and $12,000 but less responsive to $25,000; trends were similar for medical center versus community clinic PCPs. The most frequently requested clinical resource was on-demand consult access to an addiction specialist. CONCLUSIONS: Interventions promoting workload reductions, protected time, and clinical resources could increase access to B-MOUD in primary care. Monetary incentives may be additionally needed to improve B-MOUD prescribing among APPs and within community clinics.
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Buprenorfina , Transtornos Relacionados ao Uso de Opioides , Humanos , Buprenorfina/uso terapêutico , Motivação , Tratamento de Substituição de Opiáceos , Transtornos Relacionados ao Uso de Opioides/tratamento farmacológico , Atenção Primária à Saúde , Analgésicos Opioides/uso terapêuticoRESUMO
Duchenne muscular dystrophy (DMD) is a progressive, fatal neuromuscular disorder typically diagnosed between 4 and 5 years of age. DMD currently has five FDA approved therapies, which has led to increased interest in newborn screening (NBS) for DMD. Our objective was to explore the perspectives and predicted practices of physicians (primarily neurologists) who will likely be responsible for the follow-up of infants identified with DMD through NBS. A short survey was developed and distributed to physicians who are responsible for providing care for patients with Duchenne at Certified Duchenne Care Centers across the USA. Twenty-seven physicians responded to statements about benefit and readiness for dystrophinopathy NBS, which care recommendations they would make at initial infant visits, and when they would recommend initiating approved therapies. Most DMD physicians indicated they see benefit in NBS (82%) and believe the DMD care community is ready for NBS in dystrophinopathies (74%). The majority of physicians would recommend multiple interventions, including genetic counseling, maternal carrier testing, referral to early intervention services, screening siblings, discussion of clinical trials, exon skipping therapies, and assessment of social and language development at initial visits. The majority of physicians also indicated they would recommend initiating approved therapies much earlier than the typical age of diagnosis.
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Distrofia Muscular de Duchenne , Médicos , Lactente , Recém-Nascido , Humanos , Triagem Neonatal , Distrofia Muscular de Duchenne/diagnóstico , Distrofia Muscular de Duchenne/genética , Distrofia Muscular de Duchenne/terapia , Aconselhamento Genético , Inquéritos e QuestionáriosRESUMO
Duchenne muscular dystrophy is the most common form of muscular dystrophy diagnosed in childhood but is not routinely screened for prenatally or at birth in the United States. We sought to characterize the diagnostic experiences of families and describe their preferences for newborn screening (NBS). We conducted a registry-based survey of families with Duchenne and Becker muscular dystrophy that included open- and closed-ended questions regarding the journey to a diagnosis, preferences for when to learn of a diagnosis, and how knowledge of a diagnosis would impact life decisions. Open-ended responses were analyzed thematically, and closed-ended responses were analyzed descriptively. Sixty-five families completed the survey. The average ages of first concern and diagnosis were 2 and 4 years, respectively. One-third of families (30%) indicated that they would prefer to receive a diagnosis in the newborn period irrespective of treatment options available, and nearly all of the remaining families (93%) indicated that they would want to learn about a diagnosis if there were treatments that worked well during the newborn period. All families (100%) indicated that a diagnosis in the newborn period would impact life decisions. We identified three overarching themes, which described the stages of the diagnostic journey, including having concerns about the child, seeking answers, and receiving the diagnosis. NBS can facilitate improved health outcomes through early access to care, and inform families on major health and nonhealth decisions. The preferences and experiences of families and other stakeholders should be considered when determining the potential value and benefit of expanding NBS programs.
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Distrofia Muscular de Duchenne , Triagem Neonatal , Recém-Nascido , Criança , Humanos , Estados Unidos , Pré-Escolar , Triagem Neonatal/métodos , Distrofia Muscular de Duchenne/diagnóstico , Inquéritos e QuestionáriosRESUMO
BACKGROUND: The assessment of patient-reported outcomes in clinical trials has enormous potential to promote patient-centred care, but for this potential to be realized, the patient-reported outcomes must be captured effectively and communicated clearly. Over the past decade, methodologic tools have been developed to inform the design, analysis, reporting, and interpretation of patient-reported outcome data from clinical trials. We formed the PROTEUS-Trials Consortium (Patient-Reported Outcomes Tools: Engaging Users and Stakeholders) to disseminate and implement these methodologic tools. METHODS: PROTEUS-Trials are engaging with patient, clinician, research, and regulatory stakeholders from 27 organizations in the United States, Canada, Australia, the United Kingdom, and Europe to develop both organization-specific and cross-cutting strategies for implementing and disseminating the methodologic tools. Guided by the Knowledge-to-Action framework, we conducted consortium-wide webinars and meetings, as well as individual calls with participating organizations, to develop a workplan, which we are currently executing. RESULTS: Six methodologic tools serve as the foundation for PROTEUS-Trials dissemination and implementation efforts: the Standard Protocol Items: Recommendations for Interventional Trials-patient-reported outcome extension for writing protocols with patient-reported outcomes, the International Society for Quality of Life Research Minimum Standards for selecting a patient-reported outcome measure, Setting International Standards in Analysing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium recommendations for patient-reported outcome data analysis, the Consolidated Standards for Reporting of Trials-patient-reported outcome extension for reporting clinical trials with patient-reported outcomes, recommendations for the graphic display of patient-reported outcome data, and a Clinician's Checklist for reading and using an article about patient-reported outcomes. The PROTEUS-Trials website (www.TheProteusConsortium.org) serves as a central repository for the methodologic tools and associated resources. To date, we have developed (1) a roadmap to visually display where each of the six methodologic tools applies along the clinical trial trajectory, (2) web tutorials that provide guidance on the methodologic tools at different levels of detail, (3) checklists to provide brief summaries of each tool's recommendations, (4) a handbook to provide a self-guided approach to learning about the tools and recommendations, and (5) publications that address key topics related to patient-reported outcomes in clinical trials. We are also conducting organization-specific activities, including meetings, presentations, workshops, and webinars to publicize the existence of the methodologic tools and the PROTEUS-Trials resources. Work to develop communications strategies to ensure that PROTEUS-Trials reach key audiences with relevant information about patient-reported outcomes in clinical trials and PROTEUS-Trials is ongoing. DISCUSSION: The PROTEUS-Trials Consortium aims to help researchers generate patient-reported outcome data from clinical trials to (1) enable investigators, regulators, and policy-makers to take the patient perspective into account when conducting research and making decisions; (2) help patients understand treatment options and make treatment decisions; and (3) inform clinicians' discussions with patients regarding treatment options. In these ways, the PROTEUS Consortium promotes patient-centred research and care.
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Medidas de Resultados Relatados pelo Paciente , Qualidade de Vida , Ensaios Clínicos como Assunto , Tomada de Decisões , Humanos , Proteus , Projetos de Pesquisa , Estados UnidosRESUMO
BACKGROUND: Artificial intelligence (AI) is rapidly expanding in medicine despite a lack of consensus on its application and evaluation. OBJECTIVE: We sought to identify current frameworks guiding the application and evaluation of AI for predictive analytics in medicine and to describe the content of these frameworks. We also assessed what stages along the AI translational spectrum (ie, AI development, reporting, evaluation, implementation, and surveillance) the content of each framework has been discussed. METHODS: We performed a literature review of frameworks regarding the oversight of AI in medicine. The search included key topics such as "artificial intelligence," "machine learning," "guidance as topic," and "translational science," and spanned the time period 2014-2022. Documents were included if they provided generalizable guidance regarding the use or evaluation of AI in medicine. Included frameworks are summarized descriptively and were subjected to content analysis. A novel evaluation matrix was developed and applied to appraise the frameworks' coverage of content areas across translational stages. RESULTS: Fourteen frameworks are featured in the review, including six frameworks that provide descriptive guidance and eight that provide reporting checklists for medical applications of AI. Content analysis revealed five considerations related to the oversight of AI in medicine across frameworks: transparency, reproducibility, ethics, effectiveness, and engagement. All frameworks include discussions regarding transparency, reproducibility, ethics, and effectiveness, while only half of the frameworks discuss engagement. The evaluation matrix revealed that frameworks were most likely to report AI considerations for the translational stage of development and were least likely to report considerations for the translational stage of surveillance. CONCLUSIONS: Existing frameworks for the application and evaluation of AI in medicine notably offer less input on the role of engagement in oversight and regarding the translational stage of surveillance. Identifying and optimizing strategies for engagement are essential to ensure that AI can meaningfully benefit patients and other end users.
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Inteligência Artificial , Medicina , Lista de Checagem , Humanos , Aprendizado de Máquina , Reprodutibilidade dos TestesRESUMO
CONTEXT: Although patients with acute myeloid leukemia (AML) experience significant toxicities and poor outcomes, few studies have quantified patients' experience. METHODS: A community-centered approach was used to develop an AML-specific best-worst scaling (BWS) instrument involving 13 items in four domains (psychological, physical, decision-making, and treatment delivery) to quantify patient worry. A survey of patients and caregivers was conducted using the instrument. Data were analyzed using conditional logistic regression. RESULTS: The survey was completed by 832 patients and 237 caregivers. Patients were predominantly white (88%), married/partnered (72%), and in remission (95%). The median age was 55 years (range: 19-87). Median time since diagnosis was 8 years (range: 1-40). Patients worried most about "the possibility of dying from AML" (BWS score = 15.5, confidence interval [CI] [14.2-16.7]) and "long-term side effects of treatments" (14.0, CI [12.9-15.2]). Patients found these items more than twice as worrisome as all items within the domains of care delivery and decision-making. Patients were least worried about "communicating openly with doctors" (2.50, CI [1.97-3.04]) and "having access to the best medical care" (3.90, CI [3.28-4.61]). Caregiver reports were highly correlated to patients' (Spearman's ρ = 0.89) though noted significantly more worry about the possibility of dying and spending time in the hospital. CONCLUSION: This large convenience sample demonstrates that AML patients have two principal worries: dying from their disease and suffering long-term side effects from treatment. To better foster patient-centered care, therapeutic decision-making and drug development should reflect the importance of both potential outcomes. Further work should explore interventions to address these worries.
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Cuidadores , Leucemia Mieloide Aguda , Ansiedade , Humanos , Leucemia Mieloide Aguda/terapia , Pessoa de Meia-Idade , Avaliação de Resultados da Assistência ao Paciente , Inquéritos e QuestionáriosRESUMO
PURPOSE: Patient-reported outcomes (PROs) are increasingly used in clinical trials to provide patients' perspectives regarding symptoms, health-related quality of life, and satisfaction with treatments. A range of guidance documents exist for the selection of patient-reported outcome measures (PROMs) in clinical trials, and it is unclear to what extent these documents present consistent recommendations. METHODS: We conducted a targeted review of publications and regulatory guidance documents that advise on the selection of PROMs for use in clinical trials. A total of seven guidance documents from the US Food and Drug Administration, European Medicines Agency, and scientific consortia from professional societies were included in the final review. Guidance documents were analyzed using a content analysis approach comparing them with minimum standards recommended by the International Society for Quality of Life Research. RESULTS: Overall there was substantial agreement between guidance regarding the appropriate considerations for PROM selection within a clinical trial. Variations among the guidance primarily related to differences in their format and differences in the perspectives and mandates of their respective organizations. Whereas scientific consortia tended to produce checklist or rating-type guidance, regulatory groups tended to use more narrative-based approaches sometimes supplemented with lists of criteria. CONCLUSION: The consistency in recommendations suggests an emerging consensus in the field and supports use of any of the major guidance documents available to guide PROM selection for clinical trials without concern of conflicting recommendations. This work represents an important first step in the international PROTEUS Consortium's ongoing efforts to optimize the use of PROs in clinical trials.
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Medidas de Resultados Relatados pelo Paciente , Qualidade de Vida/psicologia , Ensaios Clínicos como Assunto , HumanosRESUMO
Background: Declines in smoking prevalence among low-income adults lag behind national samples. Understanding the influence of social context factors such as gender, and normative influence on smoking attitudes and behaviors, can inform smoking cessation interventions. Objective: This study explored how gender, smoking dependence, and cessation norms influenced the likelihood of current quit attempts among urban-dwelling, predominately African American adults. Methods: Participants answered questions about their current quit attempts, smoking dependence (heaviness of smoking index [HSI]), and cessation norms (descriptive: having friends who quit smoking; injunctive: friends disapproving of smoking) as a part of a parent study exploring social and environmental factors in tobacco use. Logistic regression stratifying by gender and adjusting for demographics examined main and interaction effects of norms and HSI on odds of having a current quit attempt. Results: Among men, having a higher smoking dependence was associated with a reduced likelihood of trying to quit (AOR = 0.30 [0.15-0.59]), but this effect was moderated by having friends who had quit smoking (AOR = 2.40 [1.20-4.78]). When accounting for the effect of friends quitting smoking, men were not influenced by friends disapproving of smoking. Among women, currently attempting to quit was predicted by neither smoking dependence nor norms. Conclusions/Importance: Cessation norms and smoking dependence influenced the likelihood of quit attempts for men, but not women, in this study. This highlights the importance of conducting gender stratification in smoking cessation research so as to better understand how social and environmental factors differently impact cessation outcomes for men and women.
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Fumantes/estatística & dados numéricos , Abandono do Hábito de Fumar , Tabagismo , Adulto , Negro ou Afro-Americano , Baltimore/epidemiologia , Feminino , Humanos , Renda , Masculino , Pobreza , Fumar/epidemiologia , Tabagismo/epidemiologia , População UrbanaRESUMO
PURPOSE OF REVIEW: The current review highlights the growing number of available methods used to measure patient preferences and discusses how this impacts preference research in rheumatology. Spurred by the growing role of preferences in regulatory decisions and drug development, researchers have begun applying preference methods to study questions beyond the clinical context. We explore these trends, provide case studies highlighting changes in measuring patient preferences, compare strengths and weaknesses of common stated-preference methods, and discuss considerations for the future use of these methods. RECENT FINDINGS: Early literature on patient preferences often mimicked clinical practice, asking whether treatment A is better or worse than treatment B for a patient. Early applications of patient preference methods in rheumatology aimed to value different attributes of treatments, but remained focused on informing clinical questions. Spurred by interest in preferences by regulatory agencies and patient-centeredness throughout the product lifecycle, there are now a wide array of methods available to measure preference. SUMMARY: Although these different preference methods have strengths and weaknesses, they serve to highlight the broad number of questions that could help rheumatology beyond the clinical context. Researchers in rheumatology now have the opportunity to better serve diverse stakeholders by considering how these methods could aid in clinical trial design, regulatory policy, and other elements of the medical product life cycle.
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Antirreumáticos/uso terapêutico , Pesquisa Biomédica , Tomada de Decisões , Preferência do Paciente , Doenças Reumáticas/tratamento farmacológico , Reumatologia/métodos , HumanosRESUMO
BACKGROUND/OBJECTIVES: Many older adults receive unnecessary screening colonoscopies. We previously conducted a survey using a national online panel to assess older adults' preferences for how clinicians can discuss stopping screening colonoscopies. We sought to assess the generalizability of those results by comparing them to a sample of older adults with low health literacy. DESIGN: Cross-sectional survey. SETTING: Baltimore metropolitan area (low health literacy sample) and a national, probability-based online panel-KnowledgePanel (national sample). PARTICIPANTS: Adults 65+ with low health literacy measured using a single-question screen (low health literacy sample, n = 113) and KnowledgePanel members 65+ who completed survey about colorectal cancer screening (national sample, n = 441). MEASUREMENTS: The same survey was administered to both groups. Using the best-worst scaling method, we assessed relative preferences for 13 different ways to explain stopping screening colonoscopies. We used conditional logistic regression to quantify the relative preference for each explanation, where a higher preference weight indicates stronger preference. We analyzed each sample separately, then compared the two samples using Spearman's correlation coefficient, the likelihood ratio test to assess for overall differences between the two sets of preference weights, and the Wald test to assess differences in preference weights for each individual phrases. RESULTS: The responses from the two samples were highly correlated (Spearman's coefficient 0.92, p < 0.0001). The most preferred phrase to explain stopping screening colonoscopy was "Your other health issues should take priority" in both groups. The three least preferred options were also the same for both groups, with the least preferred being "The doctor does not give an explanation." The explanation that referred to "quality of life" was more preferred by the low health literacy group whereas explanations that mentioned "unlikely to benefit" and "high risk for harms" were more preferred by the national survey group (all p < 0.001). CONCLUSION: Among two different populations of older adults with different health literacy levels, the preferred strategies for clinicians to discuss stopping screening colonoscopies were highly correlated. Our results can inform effective communication about stopping screening colonoscopies in older adults across different health literacy levels.
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Colonoscopia/psicologia , Letramento em Saúde/classificação , Preferência do Paciente/psicologia , Relações Médico-Paciente , Idoso , Idoso de 80 Anos ou mais , Estudos de Casos e Controles , Neoplasias Colorretais/diagnóstico , Estudos Transversais , Feminino , Humanos , Masculino , Qualidade de Vida , Inquéritos e QuestionáriosRESUMO
BACKGROUND: Advance care planning (ACP) aids can help prepare patients, family members, and physicians for in-the-moment medical decision-making. We wished to describe the content and approach of paper-based ACP aids in order to characterize existing aids and inform the development of a new ACP aid. METHODS: Paper-based ACP aids were identified through an environmental scan and screened for eligibility. ACP conceptual frameworks and data were gathered via stakeholder engagement and used to inform the coding framework that two investigators used to independently code each aid. A directed content analysis was conducted on these eligible aids. Aids were categorized through a deliberative process with an investigator abstracting general information for each aid. RESULTS: Fifteen aids met the eligibility criteria. They ranged in length from 6 to 78 pages with the average aid written at an eighth-grade reading level. The content analysis revealed that many aids encouraged choosing a surrogate decision maker and informed users about legal medical documents. Fewer than half of the aids facilitated patient clarification of values regarding quality of life issues. The authors identified and termed the following three categories of aids: informative; semi-action oriented; and action-oriented. It was often unclear whether patients contributed to the development or testing of the ACP aids reviewed. CONCLUSIONS: Most existing paper-based ACP aids address legal matters such as completing an advance directive. Only a minority elicited patient values and it was unclear whether any were developed in partnership with patients. Future development of ACP aids should account for patient preferences with a goal of supporting in-the-moment medical decision-making.
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Planejamento Antecipado de Cuidados/normas , Tomada de Decisões , Folhetos , Assistência Centrada no Paciente/normas , Diretivas Antecipadas/tendências , Humanos , Preferência do Paciente/psicologia , Assistência Centrada no Paciente/métodos , Assistência Terminal/métodos , Assistência Terminal/normasRESUMO
Depression and substance use are highly comorbid, and stigmatized, mental health conditions influenced by social network factors. The objective of this study was to explore the role of perceived depression and perceived mental health stigma among friends on self-reported depression over time. Between 2009 and 2012, 527 participants who used drugs completed baseline and 6-month follow-up surveys in Baltimore, Maryland. Logistic regression was used to assess whether perceived depression and stigma among friends were associated with personal depressive status before and after accounting for depressive status at baseline. A total of 309 participants (58.6%) had depressive symptoms at baseline, while 207 participants (39.3%) had depressive symptoms at follow-up. Not accounting for baseline depression, perceiving friends as being depressed (adjusted odds ratio [AOR] = 1.32, 95% confidence interval [CI] [1.12, 1.56]) and as having stigmatizing attitudes toward mental health conditions (AOR = 1.92, 95% CI [1.31, 2.79]) were associated with increased odds of personal depression. After accounting for baseline depression, the relationship between personal depression and perceived stigma was marginally significant, while the relationship between personal depression and perceived depression among friends was attenuated. These results suggest that baseline depression is the largest predictor of follow-up depression. Future research should explore whether specific aspects of perceived stigma independently account for personal depression.
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Depressão/psicologia , Usuários de Drogas/psicologia , Amigos/psicologia , Estigma Social , Adulto , Baltimore , Estudos Transversais , Transtorno Depressivo/psicologia , Feminino , Humanos , Masculino , Saúde Mental , Pessoa de Meia-Idade , Percepção , AutorrelatoRESUMO
Patient-reported outcomes (PROs) are being increasingly integrated into routine clinical practice to enhance individual patient care. This has been driven by recognition of the benefits of PROs in enhancing symptom management, patient satisfaction, quality of life, and overall survival, and reductions in acute health care utilization. These benefits are reflected in the emergence of value-based health care initiatives incorporating PRO symptom monitoring such as the Enhancing Oncology Model in the United States. However, implementing PROs can be challenging and it can be difficult to know where to begin to select appropriate PROs, and effectively display and appropriately interpret PRO data. This manuscript summarizes an educational session at the 2024 ASCO Annual Meeting, which provided practical guidance to clinicians seeking to incorporate PROs into the care of people with advanced cancer. We focus on why it is important to collect PROs in routine care from a patient's perspective, how to select PROs for symptom monitoring (including using static patient-reported outcome measures and newer item libraries), and highlight key pearls and pitfalls in the display and interpretation of PROs. We highlight the breadth of existing resources available to guide clinicians in PRO implementation.
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Neoplasias , Medidas de Resultados Relatados pelo Paciente , Humanos , Neoplasias/terapia , Qualidade de Vida , Oncologia/métodosRESUMO
BACKGROUND: There is a paucity of evidence on the association between satisfaction with quality of care and adherence to antidepressants. OBJECTIVES: To examine the association between patient satisfaction with healthcare and adherence to antidepressants. METHODS: A cohort study design was used to identify antidepressant users from the 2010-2016Medical Expenditure Panel Survey data, a national longitudinal complex survey study design on the cost and healthcare utilization of the noninstitutionalized population in the United States. The Consumer Assessment of Healthcare Providers and Systems were used to measure participants' satisfaction with access and quality of care, patient-provider communication and shared decision-making (SDM). Patients were considered satisfied if they ranked the quality of care at ≥9 (range: 0[worst]- 10[best]). Antidepressant adherence was measured based on medication refill and complete discontinuation. MEPS sampling survey-weighted multivariable-adjusted logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between satisfaction and adherence to antidepressants. We tested for the potential presence of reverse associations by restricting the analysis to new users of antidepressants. The roles of patient-provider communication and SDM on the satisfaction-adherence association were examined through structural equation models (SEM). RESULTS: Among 4,990 (weighted counts = 8,661,953) antidepressant users, 36% were adherent while 39% discontinued antidepressants therapy. Half of antidepressant users were satisfied with the healthcare received. Satisfied patients were 26% (OR = 1.26, 95%CI: 1.08, 1.47) more likely to adhere and 17% (OR = 0.83, 95%CI: 0.71, 0.96) less likely to discontinue, compared to unsatisfied antidepressant users. Patient satisfaction was also associated with higher odds (OR = 1.41, 95%CI: 1.06, 1.88) of adherence among a subgroup of new users of antidepressants. The SEM analysis revealed that satisfaction was a manifestation of patient-provider communication (ß = 2.03, P-value<0.001) and SDM (ß = 1.14, P-value<0.001). CONCLUSIONS: Patient satisfaction is a potential predictor of antidepressant adherence. If our findings are confirmed through intervention studies, improving patient-provider communication and SDM could likely drive both patient satisfaction and adherence to antidepressants.
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Antidepressivos , Satisfação do Paciente , Humanos , Estudos de Coortes , Antidepressivos/uso terapêutico , Comunicação , Tomada de Decisão CompartilhadaRESUMO
Discrete-choice experiments (DCEs) are a frequently used method to explore the preferences of patients and other decision-makers in health. Pretesting is an essential stage in the design of a high-quality choice experiment and involves engaging with representatives of the target population to improve the readability, presentation, and structure of the preference instrument. The goal of pretesting in DCEs is to improve the validity, reliability, and relevance of the survey, while decreasing sources of bias, burden, and error associated with preference elicitation, data collection, and interpretation of the data. Despite its value to inform DCE design, pretesting lacks documented good practices or clearly reported applied examples. The purpose of this paper is: (1) to define pretesting and describe the pretesting process specifically in the context of a DCE, (2) to present a practical guide and pretesting interview discussion template for researchers looking to conduct a rigorous pretest of a DCE, and (3) to provide an illustrative example of how these resources were operationalized to inform the design of a complex DCE aimed at eliciting tradeoffs between personal privacy and societal benefit in the context of a police method known as investigative genetic genealogy (IGG).
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Comportamento de Escolha , Preferência do Paciente , Humanos , Reprodutibilidade dos Testes , Inquéritos e QuestionáriosRESUMO
Duchenne muscular dystrophy (DMD) is a rare neuromuscular disorder diagnosed in childhood. Limited newborn screening in the US often delays diagnosis. With multiple FDA-approved therapies, early diagnosis is crucial for timely treatment but may entail other benefits and harms. Using a community-based survey, we explored how parents of siblings with DMD perceived early diagnosis of one child due to a prior child's diagnosis. We assessed parents' viewpoints across domains including diagnostic journey, treatment initiatives, service access, preparedness, parenting, emotional impact, and caregiving experience. We analyzed closed-ended responses on a -1.0 to +1.0 scale to measure the degree of harm or benefit parents perceived and analyzed open-ended responses thematically. A total of 45 parents completed the survey, with an average age of 43.5 years and 20.0% identifying as non-white. Younger siblings were diagnosed 2 years earlier on average (p < 0.001). Overall, parents viewed early diagnosis positively (mean: 0.39), particularly regarding school preparedness (+0.79), support services (+0.78), treatment evaluation (+0.68), and avoiding diagnostic odyssey (+0.67). Increased worry was a common downside (-0.40). Open-ended responses highlighted improved outlook and health management alongside heightened emotional distress and treatment burdens. These findings address gaps in the evidence by documenting the effectiveness of early screening and diagnosis of DMD using sibling data.
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BACKGROUND: Despite the increasing availability of clinical trials in Duchenne muscular dystrophy, racial/ethnic minorities and other populations facing health disparities remain underrepresented in clinical trials evaluating products for Duchenne. We sought to understand the barriers faced by Hispanic/Latino families specifically and underrepresented groups more generally to clinical trial participation in Duchenne. METHODS: We engaged two participant groups: Hispanic/Latino caregivers of children with Duchenne in the US, including Puerto Rico, and health professionals within the broader US Duchenne community. Caregiver interviews explored attitudes towards and experiences with clinical trials, while professional interviews explored barriers to clinical trial participation among socio-demographically underrepresented families (e.g., low income, rural, racial/ethnic minority, etc.). Interviews were analyzed aggregately and using a thematic analysis approach. An advisory group was engaged throughout the course of the study to inform design, conduct, and interpretation of findings generated from interviews. RESULTS: Thirty interviews were conducted, including with 12 Hispanic/Latina caregivers and 18 professionals. We identified barriers to clinical trial participation at various stages of the enrollment process. In the initial identification of patients, barriers included lack of awareness about trials and clinical trial locations at clinics that were less likely to serve diverse patients. In the prescreening process, barriers included ineligibility, anticipated non-compliance in clinical trial protocols, and language discrimination. In screening, barriers included concerns about characteristics of the trial, as well as mistrust/lack of trust. In consent and recruitment, barriers included lack of timely decision support, logistical factors (distance, time, money), and lack of translated study materials. CONCLUSIONS: Numerous barriers hinder participation in Duchenne clinical trials for Hispanic/Latino families and other populations experiencing health disparities. Addressing these barriers necessitates interventions across multiple stages of the clinical trial enrollment process. Recommendations to enhance participation opportunities include developing clinical trial decision support tools, translating prominent clinical trials educational resources such as ClinicalTrials.gov, fostering trusting family-provider relationships, engaging families in clinical trial design, and establishing ethical guidelines for pre-screening potentially non-compliant patients.
Assuntos
Cuidadores , Hispânico ou Latino , Distrofia Muscular de Duchenne , Humanos , Distrofia Muscular de Duchenne/terapia , Cuidadores/psicologia , Feminino , Pessoal de Saúde , Masculino , Ensaios Clínicos como Assunto , AdultoRESUMO
Background: A national priority in the United States is to promote patient engagement in cancer genomics research, especially among diverse and understudied populations. Several cancer genomics research programs have emerged to accomplish this priority, yet questions remain about the meaning and methods of patient engagement. This study explored how cancer genomics research programs define engagement and what strategies they use to engage patients across stages in the conduct of research. Methods: An environmental scan was conducted of cancer genomics research programs focused on patient engagement. Research programs were identified and characterized using materials identified from publicly available sources (e.g., websites), a targeted literature review, and interviews with key informants. Descriptive information about the programs and their definitions of engagement, were synthesized using thematic analysis. The engagement strategies were synthesized and mapped to different stages in the conduct of research, including recruitment, consent, data collection, sharing results, and retention. Results: Ten research programs were identified, examples of which include the Cancer Moonshot Biobank, the MyPART Network, NCI-CONNECT, and the Participant Engagement and Cancer Genome Sequencing (PE-CGS) Network. All programs aimed to include understudied or underrepresented populations. Based on publicly available information, four programs explicitly defined engagement. These definitions similarly characterized engagement as being interpersonal, reciprocal, and continuous. Five general strategies of engagement were identified across the programs: 1) digital (such as websites) and 2) non-digital communications (such as radio broadcasts, or printed brochures); 3) partnering with community organizations; 4) providing incentives; and 5) affiliating with non-academic medical centers. Digital communications were the only strategy used across all stages of the conduct of research. Programs tailored these strategies to their study goals, including overcoming barriers to research participation among diverse populations. Conclusion: Programs studying cancer genomics are deeply committed to increasing research participation among diverse populations through patient engagement. Yet, the field needs to reach a consensus on the meaning of patient engagement, develop a taxonomy of patient engagement measures in cancer genomics research, and identify optimal strategies to engage patients in cancer genomics. Addressing these needs could enable patient engagement to fulfill its potential and accelerate the pace of cancer genomic discoveries.
RESUMO
The Multimodal Maternal Infant Perinatal Outpatient Delivery System (MOMI PODS) was developed to facilitate the pregnancy to postpartum primary care transition, particularly for individuals at risk for severe maternal morbidity, via a unique multidisciplinary model of mother/infant dyadic primary care. Specialized clinical informatics platforms are critical to ensuring the feasibility and scalability of MOMI PODS and a smooth perinatal transition into longitudinal postpartum primary care. In this manuscript, we describe the MOMI PODS transition and management clinical informatics platforms developed to facilitate MOMI PODS referrals, scheduling, evidence-based multidisciplinary care, and program evaluation. We discuss opportunities and lessons learned associated with our applied methods, as advances in clinical informatics have considerable potential to enhance the quality and evaluation of innovative maternal health programs like MOMI PODS.