Who Will Show? Predicting Missed Visits Among Patients in Routine HIV Primary Care in the United States.
Who Will Show? Predicting Missed Visits Among Patients in Routine HIV Primary Care in the United States.
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DOI：
10.1007/s10461-018-2215-1
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发表时间：
2019-03
影响因子：
4.4
通讯作者：
Mugavero MJ
中科院分区：
文献类型：
--
作者：
Pence BW;Bengtson AM;Boswell S;Christopoulos KA;Crane HM;Geng E;Keruly JC;Mathews WC;Mugavero MJ
错过艾滋病毒医疗访问预测不良的临床结果。我们试图识别错过访视的高风险患者。我们分析了2002-2014年美国6家大型艾滋病诊所的数据。在每次访视时，我们使用人口统计学、临床和患者报告的心理社会变量预测错过下一次计划访视的可能性。.总共有10 374名参与者提供了105 628次艾滋病毒访问。17%的就诊者错过了下一次预约。未来错过访视的最强预测因素是去年错过访视。仅使用该预测因子的模型的受试者工作曲线下面积=0.65;将“高风险”定义为过去一年错过访视的患者，在正确识别未来错过访视方面的敏感性为73%，特异性为51%。纳入其他临床和心理社会预测因素仅略微改善了性能。过去的访视可以识别出那些未来错过访视的风险增加的人，从而可以积极主动地将资源分配给那些风险最大的人。
Missed HIV medical visits predict poor clinical outcomes. We sought to identify patients at high risk of missing visits. We analyzed 2002–2014 data from 6 large US HIV clinics. At each visit, we predicted the likelihood of missing the next scheduled visit using demographic, clinical, and patient-reported psychosocial variables. . Overall, 10,374 participants contributed 105,628 HIV visits. For 17% of visits, the next scheduled appointment was missed. The strongest predictor of a future missed visit was past-year missed visits. A model with only this predictor had area under the receiver operator curve=0.65; defining “high risk” as those with any past-year missed visits had 73% sensitivity and 51% specificity in correctly identifying a future missed visit. Inclusion of other clinical and psychosocial predictors only slightly improved performance. Past visit attendance can identify those at increased risk for future missed visits, allowing for proactive allocation of resources to those at greatest risk.
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影响因子：
4.9
作者：
Mugavero, Michael J.;Davila, Jessica A.;Giordano, Thomas P.
通讯作者：
Giordano, Thomas P.
DOI：
10.1097/qai.0b013e318273762f
发表时间：
2012-12-15
影响因子：
3.6
作者：
Mugavero, Michael J.;Westfall, Andrew O.;Giordano, Thomas P.
通讯作者：
Giordano, Thomas P.
影响因子：
3.8
作者：
Newcombe, DAL;Humeniuk, RE;Ali, R
通讯作者：
Ali, R
影响因子：
39
作者：
Skarbinski, Jacek;Rosenberg, Eli;Mermin, Jonathan H.
通讯作者：
Mermin, Jonathan H.
DOI：
10.1086/595705
发表时间：
2009-01-15
期刊：
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
影响因子：
--
作者：
Mugavero MJ;Lin HY;Willig JH;Westfall AO;Ulett KB;Routman JS;Abroms S;Raper JL;Saag MS;Allison JJ
通讯作者：
Allison JJ