Responsiveness of Patient-Reported Outcomes to Treatment Among Patients With Type 2 Diabetes Mellitus and OSA

Donovan, Lucas M.; Yu, Lan; Bertisch, Suzanne M.; Buysse, Daniel J.; Rueschman, Michael; Patel, Sanjay R.

doi:10.1016/j.chest.2019.11.011

Cited by 11 publications

(7 citation statements)

References 31 publications

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“…All studies used self-reported PROMIS data, no studies on proxy-reported data were found. Of these 50 studies, 10 studies used only distribution-based methods [49,50,52,55,58,66,68,74,75,77]; five studies estimated a minimal important difference (MID) rather than minimal important change (MIC) [44,62,63,72,73]; one study averaged estimates based on cross-sectional and longitudinal anchors as well as distribution-based estimates [84]; one study estimated a MIC value that referred to more than a minimal important change [92]; and two studies intended to calculate an anchor-based MIC but reported only a distribution-based MIC because the area under the ROC curve was considered too low [82,83]. Data from these 19 studies were not extracted.…”

Section: Resultsmentioning

confidence: 99%

Minimal important change (MIC): a conceptual clarification and systematic review of MIC estimates of PROMIS measures

et al. 2021

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We define the minimal important change (MIC) as a threshold for a minimal within-person change over time above which patients perceive themselves importantly changed. There is a lot of confusion about the concept of MIC, particularly about the concepts of minimal important change and minimal detectable change, which questions the validity of published MIC values. The aims of this study were: (1) to clarify the concept of MIC and how to use it; (2) to provide practical guidance for estimating methodologically sound MIC values; and (3) to improve the applicability of PROMIS by summarizing the available evidence on plausible PROMIS MIC values. We discuss the concept of MIC and how to use it and provide practical guidance for estimating MIC values. In addition, we performed a systematic review in PubMed on MIC values of any PROMIS measure from studies using recommended approaches. A total of 50 studies estimated the MIC of a PROMIS measure, of which 19 studies used less appropriate methods. MIC values of the remaining 31 studies ranged from 0.1 to 12.7 T-score points. We recommend to use the predictive modeling method, possibly supplemented with the vignette-based method, in future MIC studies. We consider a MIC value of 2–6 T-score points for PROMIS measures reasonable to assume at this point. For surgical interventions a higher MIC value might be appropriate. We recommend more high-quality studies estimating MIC values for PROMIS.

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Section: Resultsmentioning

confidence: 99%

Minimal important change (MIC): a conceptual clarification and systematic review of MIC estimates of PROMIS measures

et al. 2021

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“…Nutrition and physical activity STOP-Bang questionnaire [208]; PROMIS ed -Sleep Disturbance instrument [209]; PROMIS-Sleep Related Impairment instrument [209] • PROMs that assess patients' sleep symptoms in general or specific sleep-related issues, such as obstructive sleep apnea symptoms [208].…”

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confidence: 99%

Measurement Properties of Patient-Reported Outcome Measures for Diabetes: Systematic Review

Wee¹,

Kwan²,

Loh³

et al. 2021

J Med Internet Res

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Background The management of diabetes is complex. There is growing recognition of the use of patient-reported outcome measures (PROMs) as a standardized method of obtaining an outlook on patients’ functional status and well-being. However, no systematic reviews have summarized the studies that investigate the measurement properties of diabetes PROMs. Objective Our aims were to conduct a systematic review of studies investigating the measurement properties of diabetes PROMs by evaluating the methodological quality and overall level of evidence of these PROMs and to categorize them based on the outcome measures assessed. Methods This study was guided by the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Relevant articles were retrieved from the Embase, PubMed, and PsychINFO databases. The PROMs were evaluated with the COSMIN (COnsensus-based Standards for the selection of health Measurement Instruments) guidelines. Results A total of 363 articles evaluating the measurement properties of PROMs for diabetes in the adult population were identified, of which 238 unique PROMs from 248 studies reported in 209 articles were validated in the type 2 diabetes population. PROMs with at least a moderate level of evidence for ≥5 of 9 measurement properties include the Chinese version of the Personal Diabetes Questionnaire (C-PDQ), Diabetes Self-Management Instrument Short Form (DSMI-20), and Insulin Treatment Appraisal Scale in Hong Kong primary care patients (C-ITAS-HK), of which the C-PDQ has a “sufficient (+)” rating for >4 measurement properties. A total of 43 PROMs meet the COSMIN guidelines for recommendation for use. Conclusions This study identified and synthesized evidence for the measurement properties of 238 unique PROMs for patients with type 2 diabetes and categorized the PROMs according to their outcome measures. These findings may assist clinicians and researchers in selecting appropriate high-quality PROMs for clinical practice and research. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42020180978; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020180978.

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“…Subsequent work using a cohort of patients diagnosed with OSA were evaluated using the adult version of the PROMIS sleep-related impairment instrument and found to be sensitive in detecting symptoms changes after positive airway pressure therapy. 31 While patient-reported sleep-related impairment in the cleft population should not be interpreted as definitive signs of airway obstruction, such reports may warrant referral for diagnostic polysomnograms.…”

Section: Discussionmentioning

confidence: 99%

“…30 In an adult cohort of patients with obstructive sleep apnea (OSA), PROMIS sleep-related impairment scores were found to be sensitive in detecting symptom improvements following positive airway pressure therapy. 31 While the relationship between patient-reported outcomes measures and detection of OSA remains incompletely defined, the potential for patient-reported measures as a cost-effective, fast, free, and accessible screening tool deserves further consideration, particularly in cleft and craniofacial care where longitudinal polysomnographic assessments may be desirable but impractical with the limitations of healthcare resources.…”

Section: Introductionmentioning

confidence: 99%

Effect of Velopharyngeal Insufficiency on Long-Term Patient-Reported Sleep-Related Impairment in Patients With Cleft Palate

Malapati

Oberoi

Bertrand

et al. 2023

FACE

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Objective: Velopharyngeal insufficiency (VPI) surgery in patients with cleft palate increases the risk for airway obstruction acutely. However, the long-term effects of VPI surgery on airway obstruction are unknown. In this work, we prospectively evaluated patient-reported sleep-related impairment scores as a screening tool for airway obstruction in patients with cleft palate (CP). Methods: Patients with CP > 14 years of age from 2 institutions were prospectively administered the Patient Reported Outcomes Measurement Information Systems sleep-related impairment short form. Patient characteristics, medical, and surgical histories were reviewed. Multivariable linear regression analyses were performed to assess the contribution of independent variables to sleep-related impairment scores. Results: Forty-four patients (mean age 20.5 ± 4.7 years) were included. Twenty-three patients (52.3%) were diagnosed with VPI. Seventeen patients (38.6%) underwent VPI surgery, of whom 14 patients (82.4%) were treated with sphincter pharyngoplasties at a mean age of 7.7 ± 4.1 years. Multivariable linear regression models to control for variables that could influence sleep-related impairment such as body mass index (BMI) ≥25 were developed to evaluate the contribution of VPI and VPI treatment. The diagnosis of VPI (β = .52, P = .004), VPI surgery (β = .48, P = .008), and sphincter pharyngoplasty (β = .47, P = .011) were found to independently predict sleep-related impairment in each of the respective regression models. Conclusions: A history of VPI, any type of VPI surgery, or sphincter pharyngoplasty were separately and independently predictive of patient-reported sleep-related impairment long-term. These data suggest that longitudinal airway obstruction screening in patients with cleft palate and VPI deserves consideration.

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Responsiveness of Patient-Reported Outcomes to Treatment Among Patients With Type 2 Diabetes Mellitus and OSA

Cited by 11 publications

References 31 publications

Minimal important change (MIC): a conceptual clarification and systematic review of MIC estimates of PROMIS measures

Minimal important change (MIC): a conceptual clarification and systematic review of MIC estimates of PROMIS measures

Measurement Properties of Patient-Reported Outcome Measures for Diabetes: Systematic Review

Effect of Velopharyngeal Insufficiency on Long-Term Patient-Reported Sleep-Related Impairment in Patients With Cleft Palate

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