OBJECTIVE: This study aimed to examine the prevalence and predictors of reconstructive surgery among pediatric burn patients in the Netherlands.METHODS: Pediatric burn patients were identified through the Dutch Burn Repository R3. Eligibility criteria included a burn requiring hospital admission or surgical treatment at one of the Dutch burn centers in 2009-2019. First, patient, burn, and treatment characteristics were summarized using descriptive statistics. Second, time to the first reconstructive surgery was modelled using Kaplan Meier curves. Third, a prediction model was developed using univariate and multivariate logistic regression. The model's performance was assessed using calibration, discrimination, and explained variance. Fourth, internal validation was performed using bootstrapping.RESULTS: Approximately three percent (n = 84) of pediatric patients (n = 3072) required reconstructive surgery between the initial burn-related hospital admission and September 2021. Median time to the first reconstructive surgery was 1.2 (0.7-1.6) years. Most surgeries were performed on the face, arm, neck, hand, or anterior trunk, owing to contractures or hypertrophic scarring. Predictors of reconstruction included the etiology, anatomical site, extent of full-thickness burn, surgical treatment in the acute phase, and length of hospital stay.CONCLUSION: Our study provided an overview of the prevalence and independent predictors of reconstructive surgery in the pediatric burn population.
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Due to the ageing population, the prevalence of musculoskeletal disorders will continue to rise, as well as healthcare expenditure. To overcome these increasing expenditures, integration of orthopaedic care should be stimulated. The Primary Care Plus (PC+) intervention aimed to achieve this by facilitating collaboration between primary care and the hospital, in which specialised medical care is shifted to a primary care setting. The present study aims to evaluate the referral decision following orthopaedic care in PC+ and in particular to evaluate the influence of diagnostic tests on this decision. Therefore, retrospective monitoring data of patients visiting PC+ for orthopaedic care was used. Data was divided into two periods; P1 and P2. During P2, specialists in PC+ were able to request additional diagnostic tests (such as ultrasounds and MRIs). A total of 2,438 patients visiting PC+ for orthopaedic care were included in the analysis. The primary outcome was the referral decision following PC+ (back to the general practitioner (GP) or referral to outpatient hospital care). Independent variables were consultation- and patient-related predictors. To describe variations in the referral decision, logistic regression modelling was used. Results show that during P2, significantly more patients were referred back to their GP. Moreover, the multivariable analysis show a significant effect of patient age on the referral decision (OR 0.86, 95% CI = 0.81– 0.91) and a significant interaction was found between the treating specialist and the period (p = 0.015) and between patient’s diagnosis and the period (p < 0.001). Despite the significant impact of the possibility of requesting additional diagnostic tests in PC+, it is important to discuss the extent to which the availability of diagnostic tests fits within the vision of PC+. In addition, selecting appropriate profiles for specialists and patients for PC+ are necessary to further optimise the effectiveness and cost of care.
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While consumers have become increasingly aware of the need for sustainability in fashion, many do not translate their intention to purchase sustainable fashion into actual behavior. Insights can be gained from those who have successfully transitioned from intention to behavior (i.e., experienced sustainable fashion consumers). Despite a substantial body of literature exploring predictors of sustainable fashion purchasing, a comprehensive view on how predictors of sustainable fashion purchasing vary between consumers with and without sustainable fashion experience is lacking. This paper reports a systematic literature review, analyzing 100 empirical articles on predictors of sustainable fashion purchasing among consumer samples with and without purchasing experience, identified from the Web of Science and Scopus databases.
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