Department of Obstetrics and Gynecology, Division of Female Pelvic Medicine and Reconstructive Surgery, Indiana University, Indianapolis, IN, USA.
Urogynecology, IU Health Physicians, 11725 N. Illinois St. Suite K104, Carmel, IN, 46032, USA.
Int Urogynecol J. 2020 Aug;31(8):1675-1682. doi: 10.1007/s00192-019-04100-x. Epub 2019 Sep 3.
The urogynecology subspecialty relies on appropriate referrals from their referral base. We sought to provide guidance for optimizing appropriate referrals to urogynecology by comparing pre-referral characteristics between appropriate and inappropriate referrals.
This retrospective cohort study examined predictors of appropriate urogynecology referrals. Appropriateness categorization was based upon pelvic floor disorder (PFD) symptoms and signs provided by the referring provider. Patients with both a PFD symptom and sign were considered "appropriate." Patients with neither a PFD symptom nor sign were considered "inappropriate." PFD symptoms were: vaginal bulge, voiding or defecatory dysfunction. PFD signs were: vaginal vault prolapse, urethral hypermobility, mesh/sling exposure, elevated post-void residual, positive standing stress test, abnormal urinalysis or urine culture-proven infection. Continuous and categorical data were analyzed with ANOVA and chi-square test, respectively. A logistic regression model to predict appropriateness was developed from variables identified from the bivariate analysis.
Bivariate predictors of an appropriate referral for 1716 study subjects were older age, prior overactive bladder medication use, MD/DO referrer source and OBGYN, urogynecology or urology referrer specialty. Our logistic regression model correctly classified referrals as appropriate in 93.6% of cases.
Age, anti-cholinergic medication use, referrer source and specialty are pre-initial visit predictors of urogynecology referral appropriateness. The predictor-generated model was successful in predicting referral appropriateness. Potential bias from information transfer issues, lack of pre-referral evaluation and referring provider unfamiliarity with urogynecology are possible reasons for inappropriate referrals and potential areas for improvement.
尿妇科亚专业依赖于其转诊基础的适当转诊。我们旨在通过比较适当和不适当转诊的预转诊特征,为优化适当转诊到尿妇科提供指导。
本回顾性队列研究检查了适当尿妇科转诊的预测因素。适当性分类基于转诊医生提供的盆底功能障碍(PFD)症状和体征。同时存在 PFD 症状和体征的患者被认为是“适当的”。既没有 PFD 症状也没有体征的患者被认为是“不适当的”。PFD 症状为:阴道膨出、排尿或排便功能障碍。PFD 体征为:阴道穹窿脱垂、尿道过度活动、网片/吊带暴露、排尿后残余量增加、站立压力试验阳性、异常尿分析或尿液培养证实感染。连续和分类数据分别采用方差分析和卡方检验进行分析。从双变量分析中确定的变量开发了一个预测适当性的逻辑回归模型。
1716 名研究对象中适当转诊的双变量预测因素为年龄较大、先前使用过抗胆碱能药物、MD/DO 转诊来源和妇产科、尿妇科或泌尿科转诊专业。我们的逻辑回归模型正确地将 93.6%的转诊分类为适当。
年龄、抗胆碱能药物使用、转诊来源和专业是初始就诊前预测尿妇科转诊适当性的因素。预测因素生成的模型成功地预测了转诊的适当性。信息传递问题、缺乏预转诊评估以及转诊医生对尿妇科不熟悉可能是转诊不适当的原因,也是潜在的改进领域。