Who Will Show? Predicting Missed Visits Among Patients in Routine HIV Primary Care in the United States.

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Tytuł:: Who Will Show? Predicting Missed Visits Among Patients in Routine HIV Primary Care in the United States.
Autorzy:: Pence BW; Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, 2101 McGavran-Greenberg Hall, Chapel Hill, NC, 27599, USA. .
Bengtson AM; Department of Epidemiology, Brown University, Providence, RI, USA.
Boswell S; Fenway Health, Boston, MA, USA.
Christopoulos KA; Division of HIV, ID and Global Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA.
Crane HM; Department of Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
Geng E; Division of HIV, ID and Global Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA.
Keruly JC; Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Mathews WC; Department of Medicine, School of Medicine, University of California, San Diego, San Diego, CA, USA.
Mugavero MJ; Department of Medicine and UAB Center for AIDS Research, University of Alabama at Birmingham, Birmingham, AL, USA.
Źródło:: AIDS and behavior [AIDS Behav] 2019 Feb; Vol. 23 (2), pp. 418-426.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Publication: 2005- : New York, NY : Springer Science + Business Media
Original Publication: New York, NY : Plenum Press, 1997-
MeSH Terms:: Forecasting/*methods
HIV Infections/*epidemiology
Office Visits/*statistics & numerical data
Patient Acceptance of Health Care/*statistics & numerical data
Patient Compliance/*statistics & numerical data
Adult ; Appointments and Schedules ; Female ; HIV Infections/psychology ; Health Behavior ; Humans ; Male ; Middle Aged ; Primary Health Care ; United States/epidemiology ; Young Adult
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Grant Information:: R01 MH100970 United States MH NIMH NIH HHS; R24AI067039 National Institute of Allergy and Infectious Diseases; P30AI50410 National Institute of Allergy and Infectious Diseases; R24 AI067039 United States AI NIAID NIH HHS; R01MH100970 National Institute of Mental Health; P30 AI050410 United States AI NIAID NIH HHS
Contributed Indexing:: Keywords: Appointment attendance; HIV; Missed visits; Predictive models; Retention in care
Entry Date(s):: Date Created: 20180715 Date Completed: 20190425 Latest Revision: 20220408
Update Code:: 20240105
PubMed Central ID:: PMC6330260
DOI:: 10.1007/s10461-018-2215-1
PMID:: 30006790
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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 six 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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