- Browse by Subject
Browsing by Subject "Patient-reported outcomes"
Now showing 1 - 10 of 13
Results Per Page
Sort Options
Item Associating Persistent Self-Reported Cognitive Decline with Neurocognitive Decline in Older Breast Cancer Survivors Using Machine Learning: The Thinking and Living with Cancer Study(Elsevier, 2022) Van Dyk, Kathleen; Ahn, Jaeil; Zhou, Xingtao; Zhai, Wanting; Ahles, Tim A.; Bethea, Traci N.; Carroll, Judith E.; Cohen, Harvey Jay; Dilawari, Asma A.; Graham, Deena; Jacobsen, Paul B.; Jim, Heather; McDonald, Brenna C.; Nakamura, Zev M.; Patel, Sunita K.; Rentscher, Kelly E.; Saykin, Andrew J.; Small, Brent J.; Mandelblatt, Jeanne S.; Root, James C.; Radiology and Imaging Sciences, School of MedicineIntroduction: Many cancer survivors report cognitive problems following diagnosis and treatment. However, the clinical significance of patient-reported cognitive symptoms early in survivorship can be unclear. We used a machine learning approach to determine the association of persistent self-reported cognitive symptoms two years after diagnosis and neurocognitive test performance in a prospective cohort of older breast cancer survivors. Materials and methods: We enrolled breast cancer survivors with non-metastatic disease (n = 435) and age- and education-matched non-cancer controls (n = 441) between August 2010 and December 2017 and followed until January 2020; we excluded women with neurological disease and all women passed a cognitive screen at enrollment. Women completed the FACT-Cog Perceived Cognitive Impairment (PCI) scale and neurocognitive tests of attention, processing speed, executive function, learning, memory and visuospatial ability, and timed activities of daily living assessments at enrollment (pre-systemic treatment) and annually to 24 months, for a total of 59 individual neurocognitive measures. We defined persistent self-reported cognitive decline as clinically meaningful decline (3.7+ points) on the PCI scale from enrollment to twelve months with persistence to 24 months. Analysis used four machine learning models based on data for change scores (baseline to twelve months) on the 59 neurocognitive measures and measures of depression, anxiety, and fatigue to determine a set of variables that distinguished the 24-month persistent cognitive decline group from non-cancer controls or from survivors without decline. Results: The sample of survivors and controls ranged in age from were ages 60-89. Thirty-three percent of survivors had self-reported cognitive decline at twelve months and two-thirds continued to have persistent decline to 24 months (n = 60). Least Absolute Shrinkage and Selection Operator (LASSO) models distinguished survivors with persistent self-reported declines from controls (AUC = 0.736) and survivors without decline (n = 147; AUC = 0.744). The variables that separated groups were predominantly neurocognitive test performance change scores, including declines in list learning, verbal fluency, and attention measures. Discussion: Machine learning may be useful to further our understanding of cancer-related cognitive decline. Our results suggest that persistent self-reported cognitive problems among older women with breast cancer are associated with a constellation of mild neurocognitive changes warranting clinical attention.Item Development of a Family-Centered Communication Tool for Kidney Health in Premature Infants: Qualitative Focus Group Study Using Human-Centered Design Methodology(JMIR, 2023-07-10) Starr, Michelle C.; Wallace, Samantha; Moore, Courtney; Cockrum, Brandon; Hawryluk, Bridget; Carroll, Aaron; Bennett, William, Jr.; Pediatrics, School of MedicineBackground: Premature infants are at increased risk of kidney-related complications, including acute kidney injury (AKI) and chronic kidney disease (CKD). The risk of CKD in prematurely born infants is underrecognized by health care teams and caregivers. Understanding how to communicate the risk of CKD to caregivers is essential for longitudinal clinical follow-up and adherence. Objective: This study aimed to determine family caregiver attitudes toward kidney health and risk communication during a neonatal intensive care admission. We also sought to understand caregiver preferences for the communication of information surrounding the risk of CKD in premature infants. Methods: We augmented standard qualitative group sessions with human-centered design methods to assess parent preferences and clinician perspectives. Caregivers recruited had a prematurely born child who spent time in the neonatal intensive care unit at Riley Hospital for Children in Indianapolis, Indiana, and experienced AKI or another kidney complication, which put them at risk for future CKD. We used a variety of specific design methods in these sessions, including card sorting, projective methods, experience mapping, and constructive methods. Results: A total of 7 clinicians and 8 caregivers participated in 3 group sessions. Caregivers and clinicians readily acknowledged barriers to and drivers of long-term kidney monitoring as well as opportunities for communication of the risk of long-term kidney disease. Caregivers' primary concerns were for both the type and depth of information conveyed as well as the time at which it was communicated. Participants emphasized the importance of collaboration between the hospital care team and the primary care provider. Participant input was synthesized into several prototype concepts and, ultimately, into a rough prototype of a website and an informational flyer. Conclusions: Caregivers of premature infants are open to communication about kidney health during their neonatal admission. The next phase of this work will translate caregivers' preferences into family-centered communication tools and test their efficacy in the neonatal intensive care unit.Item Differential clinical characteristics across traditional Chinese medicine (TCM) Syndromes in patients with sickle cell disease(Frontiers Media, 2024-01-05) Wang, Ying; Wang, David D.; Pucka, Andrew Q.; O’Brien, Andrew R. W.; Harte, Steven E.; Harris, Richard E.; Anesthesia, School of MedicineBackground: Pain is a common, debilitating, and poorly understood complication of sickle cell disease (SCD). The need for clinical pain management of SCD is largely unmet and relies on opioids as the main therapeutic option, which leads to a decreased quality of life (QoL). According to the literature, acupuncture has shown certain therapeutic effects for pain management in SCD. However, these clinical studies lack the guidance of Traditional Chinese Medicine (TCM) Syndrome Differentiation principles for treatment. Aim: To characterize differences in clinical presentation amongst TCM diagnosed Syndromes in SCD patients. Method: Fifty-two patients with SCD and 28 age- and sex-matched healthy controls (HCs) were enrolled in an ongoing trial of acupuncture. Each participant completed a series of questionnaires on pain, physical function, fatigue, sleep, anxiety, depression and QoL and underwent cold- and pressure-based quantitative sensory testing at baseline. Data on prescription opioid use over the 12 months prior to study enrollment was used to calculate mean daily morphine milligram equivalents (MME). Differences among the three TCM Syndromes were analyzed by one-way ANOVA followed by Tukey post hoc testing. Two-sample t-tests were used to compare SCD and HC groups. Results: TCM diagnosis criteria classified SCD patients into one of three TCM Syndromes: (a) Equal; (b) Deficiency; and (c) Stagnation. The Stagnation group exhibited higher pain interference, physical dysfunction, nociplastic pain, fatigue, anxiety, depression, MME consumption and lower sleep quality and QoL compared to the Equal group. Few differences were observed between HCs and the Equal SCD group across outcomes. Deficiency and Stagnation groups were differentiated with observed- and patient-reported clinical manifestations. Conclusion: These findings suggest that TCM diagnosed Syndromes in SCD can be differentially characterized using validated objective and patient-reported outcomes. Because characteristics of pain and co-morbidities in each SCD patient are unique, targeting specific TCM "Syndromes" may facilitate treatment effectiveness with a Syndrome-based personalized treatment plan that conforms to TCM principles. These findings lay the foundation for the development of tailored acupuncture interventions based on TCM Syndromes for managing pain in SCD. Larger samples are required to further refine and validate TCM diagnostic criteria for SCD.Item An Evaluation of the Spread and Scale of PatientToc™ from Primary Care to Community Pharmacy Practice for the Collection of Patient-Reported Outcomes: A Study Protocol(Elsevier, 2021) Snyder, Margie E.; Chewning, Betty; Kreling, David; Perkins, Susan M.; Knox, Lyndee M.; Adeoye-Olatunde, Omolola A.; Jaynes, Heather A.; Schommer, Jon C.; Murawski, Matthew M.; Sangasubana, Nisaratana; Hillman, Lisa A.; Curran, Geoffrey M.; Biostatistics and Health Data Science, School of MedicineBackground: Medication non-adherence is a problem of critical importance, affecting approximately 50% of all persons taking at least one regularly scheduled prescription medication and costing the United States more than $100 billion annually. Traditional data sources for identifying and resolving medication non-adherence in community pharmacies include prescription fill histories. However, medication possession does not necessarily mean patients are taking their medications as prescribed. Patient-reported outcomes (PROs), measuring adherence challenges pertaining to both remembering and intention to take medication, offer a rich data source for pharmacists and prescribers to use to resolve medication non-adherence. PatientToc™ is a PROs collection software developed to facilitate collection of PROs data from low-literacy and non-English speaking patients in Los Angeles. Objectives: This study will evaluate the spread and scale of PatientToc™ from primary care to community pharmacies for the collection and use of PROs data pertaining to medication adherence. Methods: The following implementation and evaluation steps will be conducted: 1) a pre-implementation developmental formative evaluation to determine community pharmacy workflow and current practices for identifying and resolving medication non-adherence, potential barriers and facilitators to PatientToc™ implementation, and to create a draft implementation toolkit, 2) two plan-do-study-act cycles to refine an implementation toolkit for spreading and scaling implementation of PatientToc™ in community pharmacies, and 3) a comprehensive, theory-driven evaluation of the quality of care, implementation, and patient health outcomes of spreading and scaling PatientToc™ to community pharmacies. Expected impact: This research will inform long-term collection and use of PROs data pertaining to medication adherence in community pharmacies.Item Health-related quality of life in parents and partners of people with type 1 diabetes: Development and validation of type 1 diabetes and life (T1DAL) measures(American Psychological Association, 2021) Hilliard, Marisa E.; Minard, Charles G.; Marrero, David G.; de Wit, Maartje; DuBose, Stephanie N.; Verdejo, Alandra; Jaser, Sarah S.; Kruger, Davida; Monzavi, Roshanak; Shah, Viral N.; Wadwa, R. Paul; Weinstock, Ruth S.; Thompson, Debbe; Cao, Viena T.; Anderson, Barbara J.; Medicine, School of MedicineIntroduction: Despite the significant impact of type 1 diabetes (T1D) on family, few instruments are available to assess health-related quality of life (HRQOL) among family members of people with T1D. This study aimed to develop and evaluate the psychometric properties of new measures of diabetes-specific HRQOL for parents and partners of people with T1D. We report on the multistep development and validation process for the self-report Type 1 Diabetes and Life (T1DAL) measures, with versions for parents of youth age <8, 8-11, 12-17, and 18-25 years, and for partners of people age ≥18 years with T1D. Method: First, we conducted qualitative interviews (total parents/partners n = 38) to develop draft measures and piloted them (total n = 20). Next, we tested the measures' psychometric properties. Participants (total across versions n = 813) at six T1D Exchange Clinic Network sites completed the appropriate T1DAL measure and validated measures of related constructs. We then reduced each T1DAL measure to 20-30 items in length based on psychometric data and participant feedback. Eleven participants reviewed the final measures via cognitive debriefing. Results: The T1DAL measures for parents and partners demonstrated good internal consistency (α = .80-.88) and test-retest reliability (r = .73-.86). Correlations with measures of general quality of life, generic and diabetes-specific HRQOL, and diabetes burden demonstrated construct validity. Factor analyses identified 3-4 subscales/measure. Participants reported being satisfied with the shortened measures, which took 5-10 minutes to complete. Discussion: The new T1DAL measures for parents and partners of people with T1D are reliable, valid, and ready for use in research and clinical settings.Item Incorporating PROMIS Symptom Measures into Primary Care Practice-a Randomized Clinical Trial(Springer Nature, 2018-08) Kroenke, Kurt; Talib, Tasneem L.; Stump, Timothy E.; Kean, Jacob; Haggstrom, David A.; DeChant, Paige; Lake, Kittie R.; Stout, Madison; Monahan, Patrick O.; Biostatistics, School of Public HealthBACKGROUND: Symptoms account for more than 400 million clinic visits annually in the USA. The SPADE symptoms (sleep, pain, anxiety, depression, and low energy/fatigue) are particularly prevalent and undertreated. OBJECTIVE: To assess the effectiveness of providing PROMIS (Patient-Reported Outcome Measure Information System) symptom scores to clinicians on symptom outcomes. DESIGN: Randomized clinical trial conducted from March 2015 through May 2016 in general internal medicine and family practice clinics in an academic healthcare system. PARTICIPANTS: Primary care patients who screened positive for at least one SPADE symptom. INTERVENTIONS: After completing the PROMIS symptom measures electronically immediately prior to their visit, the 300 study participants were randomized to a feedback group in which their clinician received a visual display of symptom scores or a control group in which scores were not provided to clinicians. MAIN MEASURES: The primary outcome was the 3-month change in composite SPADE score. Secondary outcomes were individual symptom scores, symptom documentation in the clinic note, symptom-specific clinician actions, and patient satisfaction. KEY RESULTS: Most patients (84%) had multiple clinically significant (T-score ≥ 55) SPADE symptoms. Both groups demonstrated moderate symptom improvement with a non-significant trend favoring the feedback compared to control group (between-group difference in composite T-score improvement, 1.1; P = 0.17). Symptoms present at baseline resolved at 3-month follow-up only one third of the time, and patients frequently still desired treatment. Except for pain, clinically significant symptoms were documented less than half the time. Neither symptom documentation, symptom-specific clinician actions, nor patient satisfaction differed between treatment arms. Predictors of greater symptom improvement included female sex, black race, fewer medical conditions, and receiving care in a family medicine clinic. CONCLUSIONS: Simple feedback of symptom scores to primary care clinicians in the absence of additional systems support or incentives is not superior to usual care in improving symptom outcomes.Item Patient-Reported Outcomes and Early Discontinuation in Aromatase Inhibitor-Treated Postmenopausal Women With Early Stage Breast Cancer(Alphamed Press, 2016-05) Kadakia, Kunal C.; Snyder, Claire F.; Kidwell, Kelley M.; Seewald, Nicholas J.; Flockhart, David A.; Skaar, Todd C.; Desta, Zereunesay; Rae, James M.; Otte, Julie L.; Carpenter, Janet S.; Storniolo, Anna M.; Hayes, Daniel F.; Stearns, Vered; Henry, N. Lynn; Department of Medicine, School of MedicineBACKGROUND: Early discontinuation of aromatase inhibitors (AIs) is common and leads to poor outcomes but is challenging to predict. In the Exemestane and Letrozole Pharmacogenetics trial, a high rate of early discontinuation due to intolerance was observed. We hypothesized that early changes in patient-reported outcomes (PROs) predict AI discontinuation and that biochemical factors are associated with changes in PROs. PATIENTS AND METHODS: Postmenopausal women with early-stage breast cancer enrolled in a prospective randomized trial of exemestane versus letrozole completed questionnaires at baseline and serially over 24 months to assess overall quality of life (EuroQOL Visual Analog Scale [VAS]); mood; and multiple symptoms, including a musculoskeletal symptom cluster. A joint mixed-effects/survival model was used to estimate the effect of the change in PROs on AI discontinuation. Associations between biochemical factors and change in PROs were examined. RESULTS: A total of 490 patients were analyzed. Worsening of EuroQOL VAS and the musculoskeletal cluster were associated with the highest risk for early discontinuation (hazard ratio [HR], 2.77 [95% confidence interval (CI), 2.72-2.81; p = .015]; HR, 4.39 [95% CI, 2.40-8.02; p < .0001], respectively). Pharmacokinetics and estrogen metabolism were not consistently associated with change in PRO measures. No clinically significant differences in any PRO between AIs were observed. CONCLUSION: Changes in PROs early during AI therapy were associated with treatment discontinuation. Identification of these changes could be used to target interventions in patients at high risk for early discontinuation. IMPLICATIONS FOR PRACTICE: Early changes in patient-reported outcomes (PROs) can predict nonpersistence to aromatase inhibitor therapy. If used in clinical practice, PROs might identify women at highest risk for early discontinuation and allow for interventions to improve tolerance before significant toxicities develop. Further research is needed to improve capturing PROs in routine clinical practice.Item Patient-Reported Outcomes from a Randomized, Active-Controlled, Open-Label, Phase 3 Trial of Burosumab Versus Conventional Therapy in Children with X-Linked Hypophosphatemia(Springer, 2021-05) Padidela, Raja; Whyte, Michael P.; Glorieux, Francis H.; Munns, Craig F.; Ward, Leanne M.; Nilsson, Ola; Portale, Anthony A.; Simmons, Jill H.; Namba, Noriyuki; Cheong, Hae Il; Pitukcheewanont, Pisit; Sochett, Etienne; Högler, Wolfgang; Muroya, Koji; Tanaka, Hiroyuki; Gottesman, Gary S.; Biggin, Andrew; Perwad, Farzana; Williams, Angela; Nixon, Annabel; Sun, Wei; Chen, Angel; Skrinar, Alison; Imel, Erik A.; Medicine, School of MedicineChanging to burosumab, a monoclonal antibody targeting fibroblast growth factor 23, significantly improved phosphorus homeostasis, rickets, lower-extremity deformities, mobility, and growth versus continuing oral phosphate and active vitamin D (conventional therapy) in a randomized, open-label, phase 3 trial involving children aged 1-12 years with X-linked hypophosphatemia. Patients were randomized (1:1) to subcutaneous burosumab or to continue conventional therapy. We present patient-reported outcomes (PROs) from this trial for children aged ≥ 5 years at screening (n = 35), using a Patient-Reported Outcomes Measurement Information System (PROMIS) questionnaire and SF-10 Health Survey for Children. PROMIS pain interference, physical function mobility, and fatigue scores improved from baseline with burosumab at weeks 40 and 64, but changed little with continued conventional therapy. Pain interference scores differed significantly between groups at week 40 (- 5.02, 95% CI - 9.29 to - 0.75; p = 0.0212) but not at week 64. Between-group differences were not significant at either week for physical function mobility or fatigue. Reductions in PROMIS pain interference and fatigue scores from baseline were clinically meaningful with burosumab at weeks 40 and 64 but not with conventional therapy. SF-10 physical health scores (PHS-10) improved significantly with burosumab at week 40 (least-squares mean [standard error] + 5.98 [1.79]; p = 0.0008) and week 64 (+ 5.93 [1.88]; p = 0.0016) but not with conventional therapy (between-treatment differences were nonsignificant). In conclusion, changing to burosumab improved PRO measures, with statistically significant differences in PROMIS pain interference at week 40 versus continuing with conventional therapy and in PHS-10 at weeks 40 and 64 versus baseline.Item Patient-Reported Outcomes in the Translational Breast Cancer Research Consortium(Wiley, 2020-03) Bowen, Deborah J.; Shinn, Eileen H.; Gregrowski, Sophie; Kimmick, Gretchen; Dominici, Laura S.; Frank, Elizabeth S.; Smith, Karen Lisa; Rocque, Gabrielle; Ruddy, Kathryn J.; Pollastro, Teri; Melisko, Michelle; Ballinger, Tarah J.; Fayanju, Oluwadamilola M.; Wolff, Antonio C.; Medicine, School of MedicineMembers of the Translational Breast Cancer Research Consortium conducted an expert-driven literature review to identify a list of domains and to evaluate potential measures of these domains for inclusion in a list of preferred measures. Measures were included if they were easily available, free of charge, and had acceptable psychometrics based on published peer-reviewed analyses. A total of 22 domains and 52 measures were identified during the selection process. Taken together, these measures form a reliable and validated list of measurement tools that are easily available and used in multiple cancer trials to assess patient-reported outcomes in relevant patients.Item Patient-reported symptoms and discontinuation of adjuvant aromatase inhibitor therapy(Wiley, 2014-08-15) Kidwell, Kelley M.; Harte, Steven E.; Hayes, Daniel F.; Storniolo, Anna Maria; Carpenter, Janet; Flockhart, David A.; Stearns, Vered; Clauw, Daniel J.; Williams, David A.; Henry, N. Lynn; Department of Medicine, IU School of MedicineBACKGROUND: Aromatase inhibitor (AI) therapy results in substantial survival benefits for patients with hormone receptor-positive breast cancer. The rates of poor adherence and discontinuation of AI therapy are high, primarily because of treatment-related toxicities like musculoskeletal pain. Although pain-related symptoms may worsen during AI therapy, the authors hypothesized that nonpersistence with AI therapy was associated with symptoms that were present before treatment initiation. METHODS: Postmenopausal women initiating AI therapy who were enrolled in a prospective clinical trial completed questionnaires at baseline to assess sleep, fatigue, mood, and pain. Reasons for treatment discontinuation during the first year of treatment were recorded. Associations between baseline patient-reported symptoms and treatment discontinuation because of toxicity were identified using logistic regression. RESULTS: Four hundred forty-nine patients were evaluable. The odds of treatment discontinuation were higher in patients who reported a greater number of symptoms before AI initiation. Baseline poor sleep quality was associated with early treatment discontinuation, with an odds ratio (OR) of 1.91 (95% confidence interval [CI], 1.26-2.89; P = .002). Baseline presence of tired feeling and forgetfulness had similar ORs for discontinuation (tired feeling: OR, 1.76; 95% CI, 1.15-2.67; P = .009; forgetfulness: OR, 1.66; 95% CI, 1.11-2.48; P = .015). An increasing total number of baseline symptoms was associated with an increased likelihood of treatment discontinuation, with an OR of 1.89 (95% CI, 1.20-2.96; P = .006) for 3 to 5 symptoms versus 0 to 2 symptoms. CONCLUSIONS: Symptom clusters in breast cancer survivors that are present before the initiation of adjuvant AI therapy may have a negative impact on a patient's persistence with therapy. Interventions to manage these symptoms may improve breast cancer outcomes and quality of life.