scholarly journals Family Reported Outcome Measures and Patient Reported Outcome Measures in Multiple Myeloma Patients

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3056-3056
Author(s):  
Kareem Midlig ◽  
Regina Draliuk ◽  
Meir Preis ◽  
Barbara Silverman ◽  
Mouna Ballan

Abstract Background : Multiple myeloma (MM) is one of the most common hematological malignancies. The disease is characterized by multiple symptoms resulting from the disease itself, from complications related to therapy, and as a result of the involvement of other organ systems. MM influences various aspects of patient's and family's lives. Therefore, there is a need to better understand the balance between disease control and symptoms management. Objectives : The main goal of this study is to emphasize the power and importance of Patient Reported Outcome Measures (PROMs) and Family Reported Outcome Measures (FROMs) as additional tools for patient assessment. This study evaluated the correlation between Patient Reported Outcome Measures (PROMs) and Family Reported Outcome Measures (FROMs) and disease evaluation according to the International Myeloma Working Group (IMW) response criteria in active myeloma patients. A comparison between patient and family reporting (PROMs & FROMs) and the staging of the disease according to the revised international staging system (R-ISS) was done. In addition, this study examined the confounders that may explain the relationship between PROMs and FROMs and disease evaluation. Methods : This is a quantitative, prospective, observational and longitudinal study of active patients with MM. After receiving Carmel Institutional Review Board approval to conduct the study, we enrolled fifty seven MM patients, the participants completed questionnaires of PROMs and FROMs at intervals of 3 months for one year. In addition, we monitored multiple clinical measures of patient response to treatment. A descriptive analysis of the research variables has been performed; differences between the PROMs/FROM and clinical variables analyzed by Pearson correlation, comparing PROMs/FROMs mean at the beginning of the study with the results at 3, 6, 9 and 12 months . A mixed regression model was used to examine the predictive ability of the study. In other words, the ability of Patient/Family Reported Outcome to predict the disease evaluation. Sample size was calculated using Win-Pepi software, using 5% significance and 80% power. For a coefficient of 0.4 between Patient and Family Reported Outcome and MM clinical evaluations, the minimum sample size required is 47 patients, for a coefficient of 0.35, the minimum sample size required is 62 patients. for a coefficient of 0.50, the minimum sample size required is 37 patients. This study recruited a sample size of 57 patients. Results - Fifty-seven patients participated in this study. After 3 months of treatment, a better disease evaluation was associated with improvement in disease symptoms or side effects reported by the patient. Furthermore, a better disease response was associated with a better body image scale and better future perspective. We observed a similar association after 6 and 9 months. In addition, the more the patient reported side effects or disease symptoms, the more it affects the family member (PROMs were positively correlated with FROMs). A better body image and future perspective reported by patient was associated with a lower effect on family member (PROMs were negatively correlated with FROMs)). A positive significant correlation was found between physician ranking of physical status ECOG (Eastern Cooperative Oncology Group) and the effect on family members. In other words, the worse the physical status of the patient, the more it affect the family member (in months 0,3,6 and 9). These finding were supported by the mixed model analysis, which showed a significant effect of disease symptoms, appetite loss, physical function, future perspective, and global satisfaction in prediction of clinical status. Conclusion- There is a significant relation between PROM/FROM and the typical assessment tools. This study highlights the power of PROM/FROM tools to evaluate patient from his point of view and to adjust the treatment accordingly. Finally, this study raises up the importance of continuing the research about the effect on the family member as a result of the patient disease and clinical status. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Spine ◽  
2018 ◽  
Vol 43 (6) ◽  
pp. 434-439 ◽  
Author(s):  
Robert K. Merrill ◽  
Lukas P. Zebala ◽  
Colleen Peters ◽  
Sheeraz A. Qureshi ◽  
Steven J. McAnany

Hand ◽  
2021 ◽  
pp. 155894472097412
Author(s):  
Ali Aneizi ◽  
Dominique Gelmann ◽  
Dominic J. Ventimiglia ◽  
Patrick M. J. Sajak ◽  
Vidushan Nadarajah ◽  
...  

Background: The objectives of this study were to determine the baseline patient characteristics associated with preoperative opioid use and to establish whether preoperative opioid use is associated with baseline patient-reported outcome measures in patients undergoing common hand surgeries. Methods: Patients undergoing common hand surgeries from 2015 to 2018 were retrospectively reviewed from a prospective orthopedic registry at a single academic institution. Medical records were reviewed to determine whether patients were opioid users versus nonusers. On enrollment in the registry, patients completed 6 Patient-Reported Outcomes Measurement Information System (PROMIS) domains (Physical Function, Pain Interference, Fatigue, Social Satisfaction, Anxiety, and Depression), the Brief Michigan Hand Questionnaire (BMHQ), a surgical expectations questionnaire, and Numeric Pain Scale (NPS). Statistical analysis included multivariable regression to determine whether preoperative opioid use was associated with patient characteristics and preoperative scores on patient-reported outcome measures. Results: After controlling for covariates, an analysis of 353 patients (opioid users, n = 122; nonusers, n = 231) showed that preoperative opioid use was associated with higher American Society of Anesthesiologists class (odds ratio [OR], 2.88), current smoking (OR, 1.91), and lower body mass index (OR, 0.95). Preoperative opioid use was also associated with significantly worse baseline PROMIS scores across 6 domains, lower BMHQ scores, and NPS hand scores. Conclusions: Preoperative opioid use is common in hand surgery patients with a rate of 35%. Preoperative opioid use is associated with multiple baseline patient characteristics and is predictive of worse baseline scores on patient-reported outcome measures. Future studies should determine whether such associations persist in the postoperative setting between opioid users and nonusers.


BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e044888
Author(s):  
Rita McMorrow ◽  
Barbara Hunter ◽  
Christel Hendrieckx ◽  
Dominika Kwasnicka ◽  
Leanne Cussen ◽  
...  

IntroductionType 2 diabetes is a global health priority. People with diabetes are more likely to experience mental health problems relative to people without diabetes. Diabetes guidelines recommend assessment of depression and diabetes distress during diabetes care. This systematic review will examine the effect of routinely assessing and addressing depression and diabetes distress using patient-reported outcome measures in improving outcomes among adults with type 2 diabetes.Methods and analysisMEDLINE, Embase, CINAHL Complete, PsycInfo, The Cochrane Library and Cochrane Central Register of Controlled Trials will be searched using a prespecified strategy using a prespecified Population, Intervention, Comparator, Outcomes, Setting and study design strategy. The date range of the search of all databases will be from inception to 3 August 2020. Randomised controlled trials, interrupted time-series studies, prospective and retrospective cohort studies, case–control studies and analytical cross-sectional studies published in peer-reviewed journals in the English language will be included. Two review authors will independently screen abstracts and full texts with disagreements resolved by a third reviewer, if required, using Covidence software. Two reviewers will undertake risk of bias assessment using checklists appropriate to study design. Data will be extracted using prespecified template. A narrative synthesis will be conducted, with a meta-analysis, if appropriate.Ethics and disseminationEthics approval is not required for this review of published studies. Presentation of results will follow the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidance. Findings will be disseminated via peer-reviewed publication and conference presentations.PROSPERO registration numberCRD42020200246.


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