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  • Lamb, Sarah  (5)
  • Teunis, Teun  (5)
  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2020
    In:  Journal of Bone and Joint Surgery Vol. 102, No. 9 ( 2020-5-6), p. 788-795
    In: Journal of Bone and Joint Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 102, No. 9 ( 2020-5-6), p. 788-795
    Abstract: This prospective study identified the association of demographic, injury, psychological, and social variables, measured early during recovery, with limitations in function (measured by the Patient-Reported Outcomes Measurement Information System Upper Extremity Physical Function Computer Adaptive Test [PROMIS UE]) at 6 to 9 months after a distal radial fracture. Additionally, we assessed variables associated with the PROMIS UE; the abbreviated version of the Disabilities of the Arm, Shoulder and Hand questionnaire (QuickDASH); the Patient-Rated Wrist Evaluation (PRWE); and the 3-Level EuroQol 5 Dimensions Index (EQ-5D-3L) over time. Methods: A total of 364 adult patients (73% female), with a median age of 65 years (interquartile range, 45.5 to 77 years), who sustained an isolated distal radial fracture completed questionnaires at 3 time periods after the fracture: within 1 week, between 2 and 4 weeks, and between 6 and 9 months. We created a multivariable regression model and a generalized least squares random effects model, accounting for multicollinearity using correlation matrices, the variable inflation factor, and the partial R 2 . Results: Multiple variables within a week of the injury correlated with 6 to 9-month limitations in bivariate analysis. Being retired (partial R 2 = 0.19; p 〈 0.001), using opioids after the fracture (partial R 2 = 0.04; p 〈 0.001), using antidepressants (partial R 2 = 0.11; p 〈 0.001), greater pain interference (partial R 2 = 0.03; p = 0.001), and greater pain catastrophization (partial R 2 = 0.04; p = 0.002) within 1 week of the injury were strong predictors of greater limitations (PROMIS UE) at 6 to 9 months in multivariable analysis. Longitudinal analysis of variables over time demonstrated greater pain interference, greater fear of movement, lower self-efficacy, older age, and female sex as strong predictors of limitations. Conclusions: Recovery from a distal radial fracture is influenced by a series of demographic, psychological, and social variables. Of these factors, being retired, using opioids, using antidepressants, greater pain interference, and greater pain catastrophization within a week of the injury explain the largest amounts of unique variance in self-perceived upper-extremity physical function. Evaluating the impact of change in variables over time underlined the influence of pain interference as well as the influence of fear of movement and self-efficacy (or resiliency) on limitations in physical function and general health. These findings have important implications for identifying individuals who can benefit from behavioral interventions for these psychological factors to optimize recovery. Level of Evidence: Prognostic Level II . See Instructions for Authors for a complete description of levels of evidence.
    Type of Medium: Online Resource
    ISSN: 0021-9355 , 1535-1386
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
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  • 2
    In: Journal of Shoulder and Elbow Surgery, Elsevier BV, Vol. 28, No. 8 ( 2019-08), p. 1431-1440
    Type of Medium: Online Resource
    ISSN: 1058-2746
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 2046901-9
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  • 3
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2019
    In:  JBJS Open Access Vol. 4, No. 3 ( 2019-7-22), p. e0002-
    In: JBJS Open Access, Ovid Technologies (Wolters Kluwer Health), Vol. 4, No. 3 ( 2019-7-22), p. e0002-
    Abstract: The relationship between the magnitude of limitations (measured by patient-reported outcome measures, or PROMs) and satisfaction with care providers and hospital services (measured by patient-reported experience measures, or PREMs) over the course of recovery after injury is unclear. The purpose of this study was to assess the relationship between a range of PROMs and 2 PREMs at 3 time points (initial office visit within a week, 2 to 4 weeks, and 6 to 9 months) after shoulder, elbow, and wrist fractures. Methods: We enrolled 744 adult patients with an isolated shoulder, elbow, or wrist fracture and invited them to complete PROMs (the Patient-Reported Outcomes Measurement Information System Upper Extremity Physical Function computer adaptive test [PROMIS UE], PROMIS Physical Function (PROMIS PF) scale, Quick Disabilities of the Arm, Shoulder and Hand [QuickDASH] questionnaire, EuroQol 5-Dimensions 3-Level Index [EQ-5D-3L], and Oxford Shoulder Score [OSS] , Oxford Elbow Score [OES], or Patient-Rated Wrist Evaluation [PRWE] ) and PREMs (Numerical Rating Scale [NRS] for satisfaction with care providers [NRS-C] and for satisfaction with hospital services [NRS-S]) at their initial visit at the outpatient surgical practice (maximum, 1 week after the fracture), between 2 and 4 weeks after the injury, and between 6 and 9 months after the injury. Correlational analysis was performed at each time point. Results: There was moderate correlation between the PROMIS UE and the NRS-C (r = 0.56) and NRS-S (r = 0.59) at 6 to 9 months after injury, which was stronger than the correlation at the 2 to 4-week mark (NRS-C, r = 0.34; NRS-S, r = 0.36) and at the evaluation that took place within a week after the injury (NRS-C, r = 0.18; NRS-S, r = 0.16). These correlational trends were observed with all forms of PROMs. Patients reporting greater limitations after injury were also less satisfied with their care and services. Conclusions: The increasing alignment of PROMs and PREMs over the course of recovery after an upper-extremity fracture suggests that restored physical function may improve perceptions of satisfaction with care providers and hospital services over time. Future studies should assess factors that could be addressed to improve patient satisfaction and their limitations during recovery after fracture in order to maximize patient outcomes. Level of Evidence: Therapeutic Level IV . See Instructions for Authors for a complete description of levels of evidence.
    Type of Medium: Online Resource
    ISSN: 2472-7245
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
    detail.hit.zdb_id: 2873843-3
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  • 4
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2019
    In:  Clinical Orthopaedics & Related Research Vol. 477, No. 11 ( 2019-11), p. 2521-2530
    In: Clinical Orthopaedics & Related Research, Ovid Technologies (Wolters Kluwer Health), Vol. 477, No. 11 ( 2019-11), p. 2521-2530
    Abstract: Patient perceptions of their limitations after illness and injury can be quantified using patient-reported outcome measures (PROMs). Few studies have assessed construct validity (using correlations and factor analysis) and precision (floor and ceiling effects) of a range of frequently used PROMs longitudinally in a population of patients recovering from common upper extremity fractures according to area (general health, region-specific, or joint-specific measures) and mode of administration (fixed-scale or computer adaptive test). Questions/purposes (1) What is the strength of the correlation between different PROMs within 1 week, 2 to 4 weeks and 6 to 9 months after shoulder, elbow, and wrist fractures? (2) Using a factor analysis, what underlying constructs are being measured by these PROMs? (3) Are there strong floor and ceiling effects with these instruments? Methods Between January 2016 and August 2016, 734 patients recovering from an isolated shoulder, elbow, or wrist fracture completed physical-limitation PROMs at baseline (the initial office visit after diagnosis in the emergency department), 2 to 4 weeks after injury, and at the final assessment 6 to 9 months after injury. In all, 775 patients were originally approached; 31 patients (4%) declined to participate due to time constraints, four patients died of unrelated illness, and six patients were lost to follow-up. The PROMs included the PROMIS Physical Function (PF, a computer adaptive, general measure of physical function), the PROMIS Upper Extremity (UE, a computer adaptive measure of upper extremity physical function), the QuickDASH (a fixed-scale, region-specific measure), the Oxford Shoulder Score (OSS), the Oxford Elbow Score (OES) and the Patient-rated Wrist Evaluation (PRWE) (a fixed-scale, joint-specific measure), and the EQ-5D-3L (a fixed-scale measure of general health). PROMs were evaluated during recovery for construct validity (using correlations and factor analysis) and precision (using floor and ceiling effects). Results Physical-limitation PROMs were intercorrelated at all time points, and the correlation strengthened over time (for example, PROMIS UE and QuickDASH at 1 week, r = -0.4665; at 2 to 4 weeks, r = -0.7763; at 6 to 9 months, r = -0.8326; p 〈 0.001). Factor analysis generated two factors or groupings of PROMs that could be described as capability (perceived ability to perform or engage in activities), and quality of life (an overall sense of health and wellbeing) that varied by time point and fracture type, Joint-specific and general-health PROMs demonstrated high ceiling effects 6 to 9 months after injury and PROMIS PF, PROMIS UE and QuickDASH had no floor or ceiling effects at any time points. Conclusions There is a substantial correlation between PROMs that assess physical limitations (based on anatomic region) and general health after upper extremity fractures, and these relationships strengthen during recovery. Regardless of the delivery mode or area of focus, PROMs largely appear to represent two underlying constructs: capability and quality of life. Computer adaptive tests may be favored over fixed-scale measures for their efficiency and limited censoring. Level of Evidence Level II, therapeutic study.
    Type of Medium: Online Resource
    ISSN: 0009-921X
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
    detail.hit.zdb_id: 2018318-5
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  • 5
    Online Resource
    Online Resource
    British Editorial Society of Bone & Joint Surgery ; 2020
    In:  The Bone & Joint Journal Vol. 102-B, No. 1 ( 2020-01), p. 42-47
    In: The Bone & Joint Journal, British Editorial Society of Bone & Joint Surgery, Vol. 102-B, No. 1 ( 2020-01), p. 42-47
    Abstract: Patient engagement in adaptive health behaviours and interactions with their healthcare ecosystem can be measured using self-reported instruments, such as the Patient Activation Measure (PAM-13) and the Effective Consumer Scale (ECS-17). Few studies have investigated the influence of patient engagement on limitations (patient-reported outcome measures (PROMs)) and patient-reported experience measures (PREMs). First, we assessed whether patient engagement (PAM-13, ECS-17) within two to four weeks of an upper limb fracture was associated with limitations (the Quick Disabilities of the Arm, Shoulder and Hand questionnaire (QuickDASH), and Patient-Reported Outcome Measurement Information System Upper Extremity Physical Function computer adaptive test (PROMIS UE PF) scores) measured six to nine months after fracture, accounting for demographic, clinical, and psychosocial factors. Secondly, we assessed the association between patient engagement and experience (numerical rating scale for satisfaction with care (NRS-C) and satisfaction with services (NRS-S) six to nine months after fracture. Methods A total of 744 adults with an isolated fracture of the proximal humerus, elbow, or distal radius completed PROMs. Due to multicollinearity of patient engagement and psychosocial variables, we generated a single variable combining measures of engagement and psychosocial factors using factor analysis. We then performed multivariable analysis with p 〈 0.10 on bivariate analysis. Results Patient engagement and psychosocial factors combined to form a single factor (factor 1) accounting for 20% (QuickDASH, semi-partial R 2 = 0.20) and 14% (PROMIS UE PF, semi-partial R 2 = 0.14) of the variation in limitations six to nine months after fracture. Factor 1 also accounted for 17% (NRS-C, semi-partial R 2 = 0.17) of variation in satisfaction with care, and 21% (NRS-S, semi-partial R 2 = 0.21) of variation in satisfaction with services. Demographic factors (age, sex, work status) and measures of greater pathophysiology (type of fracture, high-energy injury, post-surgical complications), accounted for much less variation. Conclusion Patients who actively manage their health and demonstrate effective emotional and social functioning share a common underlying trait. They have fewer limitations and greater satisfaction with care during recovery from upper limb fractures. Future efforts should focus on evaluating initiatives that optimize patient engagement, such as patient education, coaching, and a communication strategy for healthcare professionals. Cite this article: Bone Joint J 2020;102-B(1):42–47
    Type of Medium: Online Resource
    ISSN: 2049-4394 , 2049-4408
    Language: English
    Publisher: British Editorial Society of Bone & Joint Surgery
    Publication Date: 2020
    detail.hit.zdb_id: 2697480-0
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