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Engagement in Care for HIV-infected Patients in East Africa

Engagement in Care for HIV-infected Patients in East Africa. East Africa International Epidemiologic Databases to Evaluate AIDS Investigator’s Meeting, Nyeri Kenya May 16-17, 2011. Alice Muwanga, Andrew Kambugu, Philippa Easterbrook, Yuka Manabe.

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Engagement in Care for HIV-infected Patients in East Africa

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  1. Engagement in Care for HIV-infected Patients in East Africa East Africa International Epidemiologic Databases to Evaluate AIDS Investigator’s Meeting, Nyeri Kenya May 16-17, 2011

  2. Alice Muwanga, Andrew Kambugu, Philippa Easterbrook, Yuka Manabe Thomas Odeny, Charles Kibaara, George Agengo LameckDiero, ElyneRotich, Daniel Ochieng, Paul Ayuo, Paula Braitstein Mwebesa Bwana, Winnie Muyindike, Elvin Geng Geoffrey Somi, James Juma, Rita Lyamuya • UCSF: Jeffrey Martin, Craig Cohen • Indiana: Kara Wools Kaloustian, Constantin Yiannoutsos

  3. Effectiveness of ART Services and Engagement in Care • The effectiveness of ART depends on rapid engagement in care sustained over time • ART eligible: failure to initiate promptly can magnify mortality • On ART: failure of retention quickly abrogates benefits • Medication adherence among patients in Africa is excellent • Failures of engagement – failure to initiateand failure to retain in care – may represent the major barrier to optimal effectiveness of public health ART services

  4. Assessing Engagement and Loss to Follow-up • Loss to follow-up limits understanding of engagement in care • Number of deaths • Timing of deaths is unknown • For those awaiting ART, starts at other sites • Silent transfers • A strategy to manage the impact of losses to follow-up is needed to intelligently evaluate engagement in care in the IeDEA Consortium

  5. 26 year old woman - CD4 of 27 /ul • Completed counseling and ready to start ART • Complains of headache and nausea • Nevirapine and zidovudine/lamivudine AUG 7 SEP 5 AUG 21 AUG 29 ART initiation Patient died, but no one at the clinic knew, and considered loss to follow-up until tracking later. Continues to have headache and nausea, given panadol Nearly continuous vomiting, headache, fever and “mulloscum” on the face. Given amoxicillin, TB suspected.

  6. 42 year old man, completed adherence counseling. • CD4 count of 50 /ul • PPE on exam • Works as a driver 40 weeks ART Start 2 weeks 6 weeks 10 weeks Reported to have died by the wife 2 week follow-up visit, feels well No problems Patient died of pneumonia at nearby hospital Missed visit

  7. 33 year old man, attended one counseling session • CD4 count of 150 /ul - no symptoms • He works as a farmer 6 months ART Start 2 weeks 6 weeks 3 months Tracked at home, told tracker he feared to take drugs “pakalast” Missed visit Missed visit Lost to follow up

  8. Assessing Engagement Requires Managing Effects of Loss to Follow-up Died shortly after the last visit Died 8 months after the last visit Alive but disengaged from care Went to a different clinic

  9. Engagement in Care and Surivival • The first patient never disengaged with care. • Continued engagement in care was simply unable to save her. • The second and third patients disengaged from care. • Continued engagement in care could prevent death

  10. All Patients in Clinic Patients lost to follow-up (B) Patients with current care status ascertained by tracking (D) Patients sought by tracking (C) Patients who Continue in Care

  11. Aims of the Engagement Supplement to East Africa IeDEA • Aim 1: Evaluate implementation of a sampling-based approach to estimating failures of engagement in diverse settings in East Africa. • Distinguish failure of engagement from deaths that occur shortly after the last clinic visit. • Aim 2: Quantify the magnitude and determinants of two metrics of engagement • ART-eligible patients who fail to initiate (FTI) and patients on ART who fail to be retained in care (FTR). • Aim 3: Understand patient reported socio-demographic, geographic, and structural reasons for FTI and FTR

  12. Aim 1: Evaluate Sampling Based Approach to Estimating Engagement

  13. Aim 1: Qualitative Interviews to Understand the Tracking Process • Interviews with patient trackers • Understand challenges in diverse environments • Socio-cultural • Operational factors • Technical factors

  14. 88% (82%-93%) 62%

  15. Aim 2: Estimating Retention in Care and Connection to CarePreliminary Analyses from Mbarara, Uganda

  16. Aim 3: Survey to Identify Reasons for Loss to Follow-up

  17. Aim 3: Survey to Identify Reasons for Loss to Follow-up

  18. Status Update

  19. Conclusions • Understanding outcomes above and beyond loss to follow up enriches our understanding of engagement in care • Operations research and implementation science both depend on improved understanding of outcomes • Improvement of the measurement of important outcomes can strengthen site-specific analyses in the consortium

  20. Thank you! Alice Muwanga, Andrew Kambugu, Philippa Easterbrook, Yuka Manabe Thomas Odeny, Charles Kibaara, George Agengo LameckDiero, ElyneRotich, Daniel Ochieng, Paul Ayuo, Paula Braitstein Mwebesa Bwana, Winnie Muyindike, Elvin Geng Geoffrey Somi, James Juma, Rita Lyamuya • UCSF: Jeffrey Martin, Craig Cohen • Indiana: Kara Wools Kaloustian, Constantin Yiannoutsos • NIH: Melanie Bacon, Carolyn F. Williams, Rosemary McKaig

  21. Retention in Care using Sample-updated Outcomes in Mbarara, 2004-2007n=2638 (pessimistic) (optimistic)

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