Improved statistical analysis of pre- and post-treatment patient-reported outcome measures (PROMs): the applicability of piecewise linear regression splines

2014 ◽  
Vol 24 (3) ◽  
pp. 567-573 ◽  
Author(s):  
M. E. Greene ◽  
O. Rolfson ◽  
G. Garellick ◽  
M. Gordon ◽  
S. Nemes
Children ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 587
Author(s):  
Isabel I. Sreeram ◽  
Chantal A. ten Kate ◽  
Joost van Rosmalen ◽  
Johannes M. Schnater ◽  
Saskia J. Gischler ◽  
...  

Increasing numbers of children and adults with chronic disease status highlight the need for a value-based healthcare system. Patient-reported outcome measures (PROMs) are essential to value-based healthcare, yet it remains unclear how they relate to clinical outcomes such as health and daily functioning. We aimed to assess the added value of self-reported PROMs for health status (HS) and quality of life (QoL) in the long-term follow-up of children with foregut anomalies. We evaluated data of PROMs for HS and/or QoL among eight-year-olds born with congenital diaphragmatic hernia (CDH), esophageal atresia (EA), or congenital lung malformations (CLM), collected within the infrastructure of a multidisciplinary, longitudinal follow-up program. Clinical outcomes were categorized into different outcome domains, and their relationships with self-reported HS and QoL were assessed through multivariable linear regression analyses. A total of 220 children completed HS and/or QoL self-reports. In children with CDH and EA, lower cognition was significantly associated with lower self-reported HS. Due to the low number of cases, multivariable linear regression analysis was not possible in children with CLM. HS, QoL, and clinical outcomes represent different aspects of a child’s wellbeing and should be measured simultaneously to facilitate a more holistic approach to clinical decision making.


2019 ◽  
Vol 30 (9) ◽  
pp. 928-939 ◽  
Author(s):  
Pat Vipattanaporn ◽  
Nikos Mattheos ◽  
Pagaporn Pisarnturakit ◽  
Atiphan Pimkhaokham ◽  
Keskanya Subbalekha

Author(s):  
Daniel Alexander Waltho ◽  
Manraj Nirmal Kaur ◽  
Mary Ellen Gedye ◽  
Achilleas Thoma

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.


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