scholarly journals Patient-reported outcome measures in hemodialysis patients: results of the first multicenter cross-sectional ePROMs study in France

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Abdallah Guerraoui ◽  
Mathilde Prezelin-Reydit ◽  
Anne Kolko ◽  
Marie Lino-Daniel ◽  
Charlotte Dumas de Roque ◽  
...  
Keyword(s):  
Outcome Measures ◽  
Recovery Time ◽  
Patient Characteristics ◽  
Patient Reported Outcome Measures ◽  
Cross Sectional Study ◽  
Patient Reported Outcome ◽  
Dialysis Session ◽  
Cross Sectional ◽  
Cardiovascular Comorbidities ◽  
Patient Reported

Abstract Background Kidney failure with replacement therapy and hemodialysis are associated with a decrease in quality of life (QOL). Self-reported QOL symptoms are not always prioritized by the medical team, potentially leading to conflicting priorities with patients. Electronic patient-reported outcome measures (ePROMs) allow physicians to better identify these symptoms. The objective was to describe the prevalence of symptoms self-reported by hemodialysis (HD) patients. Methods A multicenter cross-sectional study was conducted in three HD centers. Patients were included if they were 18 years old or over treated with HD for at least 3 months in a center. Data were collected by the patient via a self-administered ePROMs questionnaire. Data included patient characteristics, post-dialysis fatigue and intensity, recovery time after a session, perceived stress, impaired sleep the day before the dialysis session, current state of health and the change from the past year. A multivariate analysis was conducted to identify relations between symptoms. Results In total, we included 173 patients with a mean age of 66.2 years, a mean ± SD hemodialysis duration of 48.9 ± 58.02 months. The prevalence of fatigue was 72%. 66% had a high level of stress (level B or C). Recovery time was more than 6 h after a HD session for 25% of patients and 78% declared they had a better or unchanged health status than the previous year. Sleep disturbance was associated with cardiovascular comorbidities (OR 5.08 [95% CI, 1.56 to 16.59], p = 0.007). Conclusions Fatigue and stress were the main symptoms reported by HD patients. The patient’s care teams should better consider these symptoms.

scholarly journals Title: Fatigue is the predominant patient-reported outcome measure in hemodialysis patients: Results of a multicenter cross-sectional ePROMs Study

2021 ◽  
Author(s):  
Abdallah. Guerraoui ◽  
Mathilde. Prezelin-Reydit ◽  
Anne. Kolko ◽  
Marie. Lino-Daniel ◽  
Charlotte. Dumas Roque ◽  
...  
Keyword(s):  
Recovery Time ◽  
Patient Characteristics ◽  
Patient Reported Outcome Measures ◽  
Cross Sectional Study ◽  
Patient Reported Outcome ◽  
Dialysis Session ◽  
Cross Sectional ◽  
Dialysis Unit ◽  
Cardiovascular Comorbidities ◽  
Patient Reported

Abstract Background: End Stage renal disease (ESRD) and hemodialysis are associated with a decrease in quality of life (QOL). Self-reported QOL symptoms are not always prioritized by the medical team, potentially leading to conflicting priorities with patients. Electronic patient-reported outcome measures (ePROMs) allow physicians to better identify these symptoms. The objective was to describe the prevalence of symptoms self-reported by hemodialysis (HD) patients.Methods: A multicenter cross-sectional study was conducted in three HD centers. Patients were included if they were 18 years old or over and treated with HD for at least three months in a center. Data were collected by the patient via a self-administered ePROMs questionnaire. Data included patient characteristics, post-dialysis fatigue and intensity, recovery time after a session, perceived stress, impaired sleep the day before the dialysis session, current state of health, and the one-year change. Results: In total, we included 173 patients with a mean age of 66.2 years, a mean ± SD hemodialysis duration of 48.9 ± 58.02 months. They were mainly treated in self-dialysis unit (67%) with at least one comorbidity (72.5%). The prevalence of fatigue was 72.1%. 66.4% had a high level of stress (level B or C). Recovery time was more than 6 hours after a HD session for 24.9% of patients and 78 % declared they had a better or unchanged health status than the previous year. Sleep disturbance was associated with cardiovascular comorbidities. Conclusions: Fatigue and stress were the main symptoms reported by HD patients. The patient’s care teams should better consider these symptoms.Trial registration: Commission Nationale de l'Informatique et des Libertés (CNIL): N° 2214737V0, Date First Registered: 2019-08-20. The CPP (Patient Protection Committee) Ile-de-France VII (2019-12-26) in accordance with French regulations N° ID-RCB: 2019-AO1373-54. Date First Registered: 2019-08-19.All methods were carried out in accordance with the relevant guidelines and regulations. Informed consent was obtained from all subjects, no subjects were under 18 years of age

MO883FATIGUE IS THE PREDOMINANT PATIENT-REPORTED OUTCOME MEASURE IN HEMODIALYSIS PATIENTS: RESULTS OF A MULTICENTER CROSS-SECTIONAL EPROMS STUDY

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Abdallah Guerraoui ◽  
Anne Kolko-Labadens ◽  
Mathilde Prezelin-Reydit ◽  
Philippe Chauveau ◽  
Catherine Lasseur ◽  
...  
Keyword(s):  
Health Status ◽  
Recovery Time ◽  
Patient Characteristics ◽  
Clinical Results ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Dialysis Session ◽  
Cross Sectional ◽  
Dialysis Unit ◽  
Patient Reported

Abstract Background and Aims End Stage renal disease (ESRD) and hemodialysis are associated with a decrease in quality of life (QOL). Self-reported QOL symptoms are not always prioritized by the medical team, potentially leading to conflicting priorities with patients. Electronic patient-reported outcome measures (ePROMs) allow physicians to better describe these symptoms. The objective was to describe the prevalence of symptoms self-reported by HD patients. Method A multicenter cross-sectional study was conducted in three HD centers. Patients were included if they were 18 years old or over and treated with HD for at least three months in a center. Data were collected by the patient via a self-administered ePROMs questionnaire. Data included patient characteristics, post-dialysis fatigue and intensity, recovery time after a session, perceived stress, impaired sleep the day before the dialysis session, current state of health, and the one-year change. Results In total, we included 173 patients with a mean age of 66.2 years, a mean ± SD hemodialysis duration of 48.9 ± 58.02 months, mainly treated in self-dialysis unit (67%) and having at least one comorbidity (72.5%). The prevalence of fatigue was 72.1% [IC 95% 64.7% to 78.7%] with a mean severity score of 5.84± 2.12. 66.4% had a high level of stress (level B or C). Recovery time was more than 6 hours for 24.9% of patients and 78 % declared they had a better or unchanged health status than the previous year. The self-perceived health status of patients was 6.2± 2.12 and 77.5% [IC 95% 70.5% to 83.5%] of patients stated that they had not a worsened health status than the year before. No statistical differences were observed between centers for the PROMS. Despite significant differences in patient characteristics from the three centers including age, comorbidities or type of dialysis, no differences were found on the prevalence of the various PROMs, in favor of internally Conclusion Fatigue and stress were the main symptoms reported by HD patients. There was no association between symptoms reported and comorbidities clinical results of patients. The patient’s care teams should better consider these symptoms.

scholarly journals Which Factors Influence the Use of Patient-Reported Outcome Measures in Dutch Physiotherapy Practice? A Cross-Sectional Study

2020 ◽  
Vol 72 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Guus A. Meerhoff ◽  
Simone A. van Dulmen ◽  
Juliette K. Cruijsberg ◽  
Maria W.G. Nijhuis-van der Sanden ◽  
Philip J. Van der Wees
Keyword(s):  
Outcome Measures ◽  
Patient Reported Outcome Measures ◽  
Cross Sectional Study ◽  
Patient Reported Outcome ◽  
Sectional Study ◽  
Cross Sectional ◽  
Physiotherapy Practice ◽  
Patient Reported

Preoperative Opioid Use in Patients Undergoing Common Hand Surgeries

Hand ◽  
2021 ◽  
pp. 155894472097412
Author(s):  
Ali Aneizi ◽  
Dominique Gelmann ◽  
Dominic J. Ventimiglia ◽  
Patrick M. J. Sajak ◽  
Vidushan Nadarajah ◽  
...  
Keyword(s):  
Outcome Measures ◽  
Hand Surgery ◽  
Patient Characteristics ◽  
Patient Reported Outcome Measures ◽  
Pain Scale ◽  
Patient Reported Outcome ◽  
Measurement Information ◽  
Opioid Use ◽  
Patient Reported ◽  
Opioid Users

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.

scholarly journals The Correlation of Communication Effectiveness and Patient Satisfaction

2021 ◽  
Vol 8 ◽  
pp. 237437352199883
Author(s):  
Yvonne Versluijs ◽  
Maartje Lemmers ◽  
Laura E. Brown ◽  
Amanda I. Gonzalez ◽  
Joost T. P. Kortlever ◽  
...  
Keyword(s):  
Pain Intensity ◽  
Patient Reported Outcome Measures ◽  
Cross Sectional Study ◽  
Patient Reported Outcome ◽  
Communication Effectiveness ◽  
Cross Sectional ◽  
Patient Reported ◽  
Ceiling Effects ◽  
As Relationship ◽  
Current Experience

This study assessed the correlation of 9 questions addressing communication effectiveness (the Communication Effectiveness Questionnaire [CEQ]) with other patient-reported experience measures (PREMs; satisfaction, perceived empathy) as well as patient-reported outcome measures (PROMs; pain intensity, activity tolerance) in patients with musculoskeletal illness or injury. In a cross-sectional study, 210 patients visiting an orthopedic surgeon completed the CEQ and measures of satisfaction with the visit, perceived empathy, pain intensity, and activity tolerance. We evaluated correlations between CEQ and other PREMs and CEQ and PROMs. We measured ceiling effects of the PREMs. Communication effectiveness correlated moderately with other PREMs such as satisfaction (ρ = 0.54; P < .001) and perceived empathy (ρ = 0.54; P < .001). Communication effectiveness did not correlate with PROMs: pain intensity (ρ = −0.01; P = .93) and activity tolerance (ρ = −0.05; P = .44). All of the experience measures have high ceiling effects: perceived empathy 37%, satisfaction 80%, and CEQ 46%. The observation of notable correlations of various PREMs, combined with their high ceiling effects, direct us to identify a likely common statistical construct (which we hypothesize as “relationship”) accounting for variation in PREMs, and then develop a PREM which measures that construct in a manner that results in a Gaussian distribution of scores. At least within the limitations of current experience measures, there seems to be no association between illness (PROMs) and experience (PREMs).

scholarly journals Digital patient-reported outcome measures (PROMs) for remote monitoring of patients on cancer treatment: a cross-sectional questionnaire feasibility study (Preprint)

2020 ◽  
Author(s):  
Mayuran Ananth Sivanandan ◽  
Catherine Sharma ◽  
Pippa Bullard ◽  
Judith Christian
Keyword(s):  
Cancer Treatment ◽  
Outcome Measures ◽  
Remote Monitoring ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Severe Toxicity ◽  
Cross Sectional ◽  
Treatment Pathways ◽  
Face To Face ◽  
Patient Reported

BACKGROUND Oncology has increasing outpatient activity related to increased cancer incidence, better survival rates and more treatments. Innovative technological solutions could help deal with this increasing demand and digital patient-reported outcome measures (PROMs) to identify those patients that need a face-to-face (FTF) appointment is one potential approach. OBJECTIVE Our study aimed to assess the feasibility of digital PROM questionnaires to enable remote symptom monitoring for patients on cancer treatment and their ability to determine the requirement for a FTF appointment. METHODS This study was performed at a tertiary oncology centre between December 2018 and February 2019. Target clinics covered both systemic therapy and radiotherapy cohorts. The Common Terminology Criteria for Adverse Events (CTCAE) helped form the basis for acute toxicity questionnaires which were adapted into patient-friendly language. Treatment-specific digital PROM questionnaires were answered by patients and their clinicians alongside face-to-face appointments. Patients and clinicians did not see each other’s results, which were not used for clinical decisions. Agreement between patients and clinicians was assessed through descriptive statistics. Patient and staff feedback was also obtained. RESULTS 90 patients took part in the study across 10 different treatment pathways. By comparing paired patient and clinician responses, the sensitivity of the patient-completed questionnaires in correctly determining the need for FTF review was 93.6% and no patients with severe toxicity would have been missed with the questionnaires. Digital PROMs revealed 28.9% of participating patients did not need FTF review based on their symptoms. Certain oncological treatment pathways, such as immunotherapy, were found to have a larger proportion of patients with minimal symptoms compared to others, such as conventional chemotherapy. Patient and staff feedback showed high approval with digital PROMs and their potential for use in remote monitoring. CONCLUSIONS Digital PROM questionnaires can feasibly determine the need for FTF review in ‘on treatment’ oncology clinics. Their use with specific treatments could safely reduce the requirement for FTF care and future work should evaluate their application in the remote monitoring of patients.

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