1. Data for Care (D4C) Alabama: Clinic-Wide Risk Stratification With Enhanced Personal Contacts for Retention in HIV Care via the Alabama Quality Management Group.
- Author
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Sohail M, Rastegar J, Long D, Rana A, Levitan EB, Reed-Pickens H, Batey DS, Ross-Davis K, Gaddis K, Tarrant A, Parmar J, Raper JL, and Mugavero MJ
- Subjects
- Adult, Aged, Alabama, Female, Humans, Male, Middle Aged, Pilot Projects, United States, Data Aggregation, HIV Infections prevention & control, Health Services Research organization & administration, Quality Improvement organization & administration, Retention in Care organization & administration, Risk Assessment methods
- Abstract
Background: The Alabama Quality Management Group (AQMG), a consortium of 9 Ryan White-funded part C and D clinics, distributed statewide was established in 2006 under the guidance from the Health and Resources Services Administration with a clinical quality improvement (CQI) focus., Methods: We describe the origins and evolution of the AQMG, including requisite shifts from aggregate clinic-wide to de-identified individual-level data reporting for implementation of the Data for Care (D4C-AL) Alabama program. The D4C-AL strategy uses a clinic-wide risk stratification of all patients based on missed clinic visits in the previous 12 months. Intermediate (1-2 missed visits) and high-risk patients (>3 missed visits) receive the evidence-informed Retention through Enhanced Personal Contact intervention. We report on a pilot of the D4CAL program in 4 of 33 primary HIV care clinics at the UAB 1917 Clinic., Results: Among 3859 patients seen between April 2018 and February 2019, the missed visit rate was not significantly different between the D4C-1917 (19.2%) and non-D4C clinics (20.5%) in a preintervention period (May 2017-April 2018). However, a significantly lower missed visit rate was observed in the D4C-1917 vs. non-D4C-1917 clinics during the intervention period (April 2018-February 2019, P = 0.049)., Conclusions: The AQMG has been transformed into a health service research and implementation science platform, building on a shared vision, mission, data reporting, and quality improvement focus. Moreover, CQI may be viewed as an implementation strategy that seeks to enhance uptake and sustained use of effective interventions with D4C-AL representing a prototype for future initiatives embedded within extant quality improvement consortia.
- Published
- 2019
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