Development of novel emoji scale to measure patient-reported outcomes in cancer patients.

2018 ◽  
Vol 36 (7_suppl) ◽  
pp. 174-174 ◽  
Author(s):  
Carrie A. Thompson ◽  
Paul J Novotny ◽  
Alicia Bartz ◽  
Kathleen J. Yost ◽  
Jeff A. Sloan
Keyword(s):  
Physical Function ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
Well Being ◽  
Ordinal Scale ◽  
Card Sorting ◽  
The Past ◽  
Smart Watch ◽  
Patient Reported ◽  
Self Assessments

174 Background: Patient-reported outcomes (PROs), including physical function and quality of life (QOL), are important outcomes in cancer patients. Emoji are a near-universal, popular form of communication, understandable by diverse populations, including those with low health literacy. We aimed to explore whether emoji could be a valid, reliable scale for assessing PROs in cancer patients. Methods: To develop the emoji scale, 5 emoji faces were selected from the Apple emoji dictionary by study authors. 20 cancer patients participated in a card-sorting exercise to rank the emoji from negative to positive; 19 out of 20 selected the same order, which exceeded Coomb’s criteria for being a valid ordinal scale. Patients were recruited from Mayo Clinic practices. Eligibility included: adult patients with a diagnosis of lymphoma, multiple myeloma, brain, pancreatic, breast, and ovarian cancer within the past 5 years; life expectancy of > 6 months; and own an iPhone version ≥ 5.0. All patients were provided with an Apple Watch and downloaded the study app. Baseline PRO data was collected on the iPhone, including single-item linear analog self-assessments (LASA) and emoji scales for fatigue, physical function, emotional well-being, and overall QOL. Results: From 2/2017-8/2017, 294 eligible patients were recruited. 25% were male, and median age was 53 years (range 20-79). The median time since diagnosis was 8.4 months (range 0-60); 63% were on active therapy, 27% were in observation post-treatment, and 10% had not been treated. All patients were “extremely” confident filling out forms, 99% had used a computer in the past 12 months, and 27% had ever used a smart watch. Emoji responses were significantly associated with validated measures of PROs; the Spearman correlations between the ordinal emoji scales and LASAs were -0.83 for fatigue, 0.72 for physical well-being, 0.72 for emotional well-being, and 0.77 for overall QOL (all p < 0.0001). Of the 75 patients who have completed the study thus far, 92% reported they would use emoji scales again and 89% would recommend that others use emoji scales. Conclusions: A novel ordinal emoji scale is strongly associated with accepted measures of PROs in cancer patients and should be studied further.

Clinician versus patient: Who gets it right when assessing function in palliative care?

2018 ◽  
Vol 36 (34_suppl) ◽  
pp. 40-40
Author(s):  
Sara Lauren Mann ◽  
Willem Hardie Collier ◽  
Dominik Ose ◽  
Shane Brogan ◽  
Anna Catherine Beck ◽  
...  
Keyword(s):  
Functional Status ◽  
Physical Function ◽  
Cancer Patients ◽  
Advanced Cancer ◽  
Patient Reported Outcomes ◽  
Pain Interference ◽  
Average Score ◽  
Karnofsky Performance Score ◽  
Significant Difference ◽  
Patient Reported

40 Background: The Karnofsky Performance Score (KPS) is an important prognostic indicator in cancer care. Additionally, patient-reported outcomes are increasingly incorporated into clinical care and are validated in cancer patients with the NIH’s Patient-Reported Outcomes Measurement Information System (PROMIS). However, little is known about the concordance of the provider-rated KPS and patient-rated PROMIS measures. Methods: Retrospective review of patients with advanced cancer who underwent implantation of an intrathecal pump for refractory pain. We compared KPS and PROMIS scores recorded within 1 week of each other. PROMIS scores included an average score and 3 domains: physical function, fatigue, and pain interference. We divided each measure into 3 previously-described categories (Functionally Independent, Needs Limited Assistance, and Functionally Dependent) and assessed categorical concordance within each measure. The association of patient-related demographic and clinical characteristics were analyzed with KPS–PROMIS concordance using chi-square and Mann-Whitney U tests. Results: 47 patients were included. The provider-rated KPS score consistently indicated a higher functional status compared to the patient-rated PROMIS average score and across all PROMIS domain scores. 40% of patients were rated “Functionally Dependent” using the average PROMIS score, compared to just 19.1% using the KPS, a statistically significant difference (p=0.042). We noted categorical concordance of 55.3% for PROMIS average score, 57.5% for physical function, 44.7% for fatigue and 42.7% for pain interference compared to KPS. We found no statistically significant associations between concordance and patient demographics or characteristics. Conclusions: Our results revealed a notably low concordance in functional status in advanced cancer patients between provider-rated KPS and patient-rated PROMIS measures. Provider-rated scores consistently indicated a higher overall performance status, in particular with measures of the lowest functional status. Additional work is needed to better understand the reasons for this lack of concordance and its implications for ongoing clinical decision-making.

Impact of Preoperative Opioid Use on 2-Year Patient-Reported Outcomes in Knee Surgery Patients

2020 ◽  
Author(s):  
Ali Aneizi ◽  
Patrick M. J. Sajak ◽  
Aymen Alqazzaz ◽  
Tristan Weir ◽  
Cameran I. Burt ◽  
...  
Keyword(s):  
Physical Function ◽  
Patient Reported Outcomes ◽  
Knee Surgery ◽  
The Body ◽  
Pain Interference ◽  
Opioid Use ◽  
Opioid Prescription ◽  
Social Satisfaction ◽  
Patient Reported ◽  
Met Expectations

AbstractThe objectives of this study are to assess perioperative opioid use in patients undergoing knee surgery and to examine the relationship between preoperative opioid use and 2-year postoperative patient-reported outcomes (PROs). We hypothesized that preoperative opioid use and, more specifically, higher quantities of preoperative opioid use would be associated with worse PROs in knee surgery patients. We studied 192 patients undergoing knee surgery at a single urban institution. Patients completed multiple PRO measures preoperatively and 2-year postoperatively, including six patient-reported outcomes measurement information system (PROMIS) domains; the International Knee Documentation Committee (IKDC) questionnaire, numeric pain scale (NPS) scores for the operative knee and the rest of the body, Marx's knee activity rating scale, Tegner's activity scale, International Physical Activity Questionnaire, as well as measures of met expectations, overall improvement, and overall satisfaction. Total morphine equivalents (TMEs) were calculated from a regional prescription monitoring program. Eighty patients (41.7%) filled an opioid prescription preoperatively, and refill TMEs were significantly higher in this subpopulation. Opioid use was associated with unemployment, government insurance, smoking, depression, history of prior surgery, higher body mass index, greater comorbidities, and lower treatment expectations. Preoperative opioid use was associated with significantly worse 2-year scores on most PROs, including PROMIS physical function, pain interference, fatigue, social satisfaction, IKDC, NPS for the knee and rest of the body, and Marx's and Tegner's scales. There was a significant dose-dependent association between greater preoperative TMEs and worse scores for PROMIS physical function, pain interference, fatigue, social satisfaction, NPS body, and Marx's and Tegner's scales. Multivariable analysis confirmed that any preoperative opioid use, but not quantity of TMEs, was an independent predictor of worse 2-year scores for function, activity, and knee pain. Preoperative opioid use and TMEs were neither independent predictors of met expectations, satisfaction, patient-perceived improvement, nor improvement on any PROs. Our findings demonstrate that preoperative opioid use is associated with clinically relevant worse patient-reported knee function and pain after knee surgery.

scholarly journals Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sanna Iivanainen ◽  
Jussi Ekstrom ◽  
Henri Virtanen ◽  
Vesa V. Kataja ◽  
Jussi P. Koivunen
Keyword(s):  
Machine Learning ◽  
Early Detection ◽  
Adverse Events ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Patient Reported Outcomes ◽  
Prediction Models ◽  
Accuracy Score ◽  
Patient Reported ◽  
Auc Value

Abstract Background Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs could result in improved toxicity profile and quality of life. Symptom data collected by electronic (e) patient-reported outcomes (PRO) could be used as an input for machine learning (ML) based prediction models for the early detection of irAEs. Methods The utilized dataset consisted of two data sources. The first dataset consisted of 820 completed symptom questionnaires from 34 ICI treated advanced cancer patients, including 18 monitored symptoms collected using the Kaiku Health digital platform. The second dataset included prospectively collected irAE data, Common Terminology Criteria for Adverse Events (CTCAE) class, and the severity of 26 irAEs. The ML models were built using extreme gradient boosting algorithms. The first model was trained to detect the presence and the second the onset of irAEs. Results The model trained to predict the presence of irAEs had an excellent performance based on four metrics: accuracy score 0.97, Area Under the Curve (AUC) value 0.99, F1-score 0.94 and Matthew’s correlation coefficient (MCC) 0.92. The prediction of the irAE onset was more difficult with accuracy score 0.96, AUC value 0.93, F1-score 0.66 and MCC 0.64 but the model performance was still at a good level. Conclusion The current study suggests that ML based prediction models, using ePRO data as an input, can predict the presence and onset of irAEs with a high accuracy, indicating that ePRO follow-up with ML algorithms could facilitate the detection of irAEs in ICI-treated cancer patients. The results should be validated with a larger dataset. Trial registration Clinical Trials Register (NCT3928938), registration date the 26th of April, 2019

scholarly journals Which patient-reported outcomes do rheumatology patients find important to track digitally? A real-world longitudinal study in ArthritisPower

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
W. Benjamin Nowell ◽  
Kelly Gavigan ◽  
Carol L. Kannowski ◽  
Zhihong Cai ◽  
Theresa Hunter ◽  
...  
Keyword(s):  
Physical Function ◽  
Lupus Erythematosus ◽  
Patient Reported Outcomes ◽  
Treatment Effectiveness ◽  
Time Window ◽  
Joint Stiffness ◽  
Summary Score ◽  
Longitudinal Tracking ◽  
Patient Reported

Abstract Background Patient-reported outcomes (PROs) are increasingly used to track symptoms and to assess disease activity, quality of life, and treatment effectiveness. It is therefore important to understand which PROs patients with rheumatic and musculoskeletal disease consider most important to track for disease management. Methods Adult US patients within the ArthritisPower registry with ankylosing spondylitis, fibromyalgia syndrome, osteoarthritis, osteoporosis, psoriatic arthritis, rheumatoid arthritis, and systemic lupus erythematosus were invited to select between 3 and 10 PRO symptom measures they felt were important to digitally track for their condition via the ArthritisPower app. Over the next 3 months, participants (pts) were given the option to continue tracking their previously selected measures or to remove/add measures at 3 subsequent monthly time points (month [m] 1, m2, m3). At m3, pts prioritized up to 5 measures. Measures were rank-ordered, summed, and weighted based on pts rating to produce a summary score for each PRO measure. Results Among pts who completed initial selection of PRO assessments at baseline (N = 253), 140 pts confirmed or changed PRO selections across m1–3 within the specified monthly time window (28 days ± 7). PROs ranked as most important for tracking were PROMIS Fatigue, Physical Function, Pain Intensity, Pain Interference, Duration of Morning Joint Stiffness, and Sleep Disturbance. Patient’s preferences regarding the importance of these PROs were stable over time. Conclusion The symptoms that rheumatology patients prioritized for longitudinal tracking using a smartphone app were fatigue, physical function, pain, and morning joint stiffness.

scholarly journals FRI0048 NUMBER NEEDED TO TREAT TO ACHIEVE MINIMUM CLINICALLY SIGNIFICANT DIFFERENCES IN PATIENT-REPORTED OUTCOMES IN PATIENTS TREATED WITH BARICITINIB

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 599.1-600
Author(s):  
V. Strand ◽  
L. Sun ◽  
J. Ross Terres ◽  
C. L. Kannowski
Keyword(s):  
Physical Function ◽  
Patient Reported Outcomes ◽  
Bodily Pain ◽  
Health Assessment ◽  
Number Needed To Treat ◽  
Chronic Illness Therapy ◽  
Sf 36 ◽  
Patient Reported ◽  
Assessment Questionnaire ◽  
Questionnaire Disability

Background:Baricitinib (BARI) provided rapid and sustained improvements in patient-reported outcomes (PROs) in randomized, controlled trials (RCTs) in patients (pts) with active rheumatoid arthritis (RA) and inadequate responses (IR) to methotrexate (MTX) (RA-BEAM;NCT01710358)1,2and biologic DMARDs (bDMARD-IR; RA-BEACON;NCT01721044)3,4.Objectives:To determine the number needed to treat (NNT) to report improvements ≥minimum clinically important differences (MCIDs) in multiple PROs at Week (Wk) 12 after treatment with BARI 4-mg in RA-BEAM and BARI 2-mg or BARI 4-mg in RA-BEACON. NNTs ≤10 vs placebo (PBO) are considered clinically meaningful.Methods:Evaluated PROs with respective MCID definitions included Patient Global Assessment of Disease Activity (PtGA, 0-100 mm visual analog scale [VAS], MCID ≥10 mm), pain (0-100 mm VAS, MCID ≥10 mm), physical function (Health Assessment Questionnaire-Disability Index, MCID ≥0.22 points), fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue [FACIT-F], MCID≥4.0), and health-related quality of life (SF-36 physical component summary [PCS: MCID ≥2.5] and domain scores: physical function [PF], role physical [RP], bodily pain [BP], general health [GH], vitality [VT], social functioning [SF], role emotional [RE], mental health [MH], MCID ≥5.0).5The percentages of pts reporting improvements ≥MCID were determined at Wk 12. NNTs were calculated as 1/difference in response rates between BARI 2-mg or 4-mg and PBO.Results:At Wk 12, percentages of pts reporting clinically meaningful improvements were greater and statistically different from PBO (p<0.01) with BARI 2-mg and 4-mg across most PROs in both RCTs. Most NNTs were ≤10. (Figure)Conclusion:Across different populations, MTX-IR and bDMARD-IR pts with active RA reported clinically meaningful improvements in PROs after BARI treatment. The NNTs in these analyses indicate that <10 pts need to be treated with BARI 2- or 4-mg to report a clinically meaningful benefit.References:[1]Taylor et al. NEJM, 2017;376: 652-62[2]Keystone et al. Ann Rheum Dis, 2017;76:1853-61[3]Genovese et al. NEJM, 2016; 374: 1243-52[4]Smolen et al. Ann Rheum Dis, 2017; 76: 694-700[5]Strand et al. J Rheumatol, 2011; 38: 1720-27Figure.Percentages of patients reporting improvements ≥MCID with baricitinib vs placebo and associated NNTs for baricitinib in RA-BEAM and RA-BEACON. *p<0.05; **p<0.01; ***p<0.001. Abbreviations: BP, bodily pain; FACIT-F, Functional Assessment of Chronic Illness Therapy-Fatigue; GH, general health; HAQ-DI, Health Assessment Questionnaire-Disability Index; MCID, minimum clinically important difference; MH, mental health; NA, not applicable (ie, difference between treatment and placebo is not statistically significant, confidence interval of NNT is not calculated); NNT, numbers needed to treat; Pain, Patient’s assessment of pain; PCS, physical component score; PF, physical function; PtGA, Patient’s Global Assessment of Disease Activity; RE, role emotional; RP, role physical; SF-36, Short Form-36; SF, social functioning; VT, vitalityDisclosure of Interests:Vibeke Strand Consultant of: AbbVie, Amgen, Biogen, Celltrion, Consortium of Rheumatology Researchers of North America, Crescendo Bioscience, Eli Lilly, Genentech/Roche, GlaxoSmithKline, Hospira, Janssen, Merck, Novartis, Pfizer, Regeneron Pharmaceuticals, Inc., Sanofi, UCB, Luna Sun Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Jorge Ross Terres Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Carol L. Kannowski Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company

scholarly journals Linguistic validation of the simplified Chinese version of the US National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE™)

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Cheng KKF ◽  
S. A. Mitchell ◽  
N. Chan ◽  
E. Ang ◽  
W. Tam ◽  
...  
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
A Priori ◽  
Cognitive Interviews ◽  
Simplified Chinese ◽  
Patient Reported ◽  
The Us ◽  
The Common ◽  
Response Choices

Abstract Background The aim of this study was to translate and linguistically validate the U.S. National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE™) into Simplified Chinese for use in Singapore. Methods All 124 items of the English source PRO-CTCAE item library were translated into Simplified Chinese using internationally established translation procedures. Two rounds of cognitive interviews were conducted with 96 cancer patients undergoing adjuvant treatment to determine if the translations adequately captured the PRO-CTCAE source concepts, and to evaluate comprehension, clarity and ease of judgement. Interview probes addressed the 78 PRO-CTCAE symptom terms (e.g. fatigue), as well as the attributes (e.g. severity), response choices, and phrasing of ‘at its worst’. Items that met the a priori threshold of ≥20% of participants with comprehension difficulties were considered for rephrasing and retesting. Items where < 20% of the sample experienced comprehension difficulties were also considered for rephrasing if better phrasing options were available. Results A majority of PRO-CTCAE-Simplified Chinese items were well comprehended by participants in Round 1. One item posed difficulties in ≥20% and was revised. Two items presented difficulties in < 20% but were revised as there were preferred alternative phrasings. Twenty-four items presented difficulties in < 10% of respondents. Of these, eleven items were revised to an alternative preferred phrasing, four items were revised to include synonyms. Revised items were tested in Round 2 and demonstrated satisfactory comprehension. Conclusions PRO-CTCAE-Simplified Chinese has been successfully developed and linguistically validated in a sample of cancer patients residing in Singapore.

scholarly journals Patient-Reported Outcomes, Health-Related Quality of Life, and Clinical Outcomes for Urothelial Cancer Patients Receiving Chemo- or Immunotherapy: A Real-Life Experience

2021 ◽  
Vol 10 (9) ◽  
pp. 1852
Author(s):  
Gry Assam Taarnhøj ◽  
Henriette Lindberg ◽  
Christoffer Johansen ◽  
Helle Pappot
Keyword(s):  
Quality Of Life ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
Life Experience ◽  
Locally Advanced ◽  
Neoadjuvant Treatment ◽  
Real Life ◽  
Oncological Treatment ◽  
Patient Reported

Patients with urothelial cell carcinoma (UCC) often have comorbidities, which cause trouble for the completion of oncological treatment, and little is known about their quality of life (QoL). The aim of the present study was to obtain and describe patient-reported outcomes (PRO) and QoL data from UCC patients in the treatment for locally advanced muscle-invasive or metastatic UCC. A total of 79 patients with UCC completed four questionnaires (EORTC QLQ-C30, QLQ-BLM30, HADS, and select PRO-CTCAE™ questions) once weekly during their treatment. From those, 26 patients (33%) underwent neoadjuvant treatment for local disease while 53 patients (67%) were treated for metastatic disease. Of all patients, 54% did not complete the planned treatment due to progression, nephrotoxicity, death, or intolerable symptoms during treatment. The five most prevalent PRO-CTCAE grade ≥ 2 symptoms were frequent urination (37%), fatigue (35%), pain (31%), dry mouth (23%), and swelling of the arms or legs (23%). The baseline mean overall QoL was 61 (±SD 24) for all patients (neoadjuvant (73, ±SD 19) and metastatic (54, ±SD 24)) and remained stable over the course of treatment for both groups. A stable overall QoL was observed for the patients in this study. More than half of the patients did not, however, complete the planned treatment. Further supportive care is warranted for bladder cancer patients.

Sign in / Sign up

Export Citation Format

Share Document