International Journal of Medical Informatics
Volume 81, Issue 3 , Pages 166-172, March 2012

Electronic decision protocols for ART patient triaging to expand access to HIV treatment in South Africa: A cross sectional study for development and validation

  • Marc Mitchell

      Affiliations

    • Harvard School of Public Health, United States
    • D-Tree International, United States
    • Corresponding Author InformationCorresponding author at: Harvard School of Public Health, Department of Global Health and Population, 677 Huntington Ave, Boston, MA 02115, United States. Tel.: +1 617 432 6322.
  • ,
  • Bethany L. Hedt

      Affiliations

    • D-Tree International, United States
    • Department of Global Health and Social Medicine, Harvard Medical School, United States
  • ,
  • Ingrid Eshun-Wilson

      Affiliations

    • Division of Infectious Diseases, Internal Medicine Department, Faculty of Health Sciences, Tygerberg Academic Hospital and University of Stellenbosch, Cape Town, South Africa
  • ,
  • Hamish Fraser

      Affiliations

    • Brigham and Women's Hospital, United States
    • Partners in Health, United States
  • ,
  • Melanie-Anne John

      Affiliations

    • NHLS and Division of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
  • ,
  • Colin Menezes

      Affiliations

    • Center for Topical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, University of Amsterdam, Netherlands
  • ,
  • Martin P. Grobusch

      Affiliations

    • Center for Topical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, University of Amsterdam, Netherlands
    • Institute of Tropical Medicine, University of Tübingen, Germany
    • Division of Infectious Diseases, Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
  • ,
  • Jonathan Jackson

      Affiliations

    • Dimagi INC, United States
  • ,
  • Jantjie Taljaard

      Affiliations

    • Division of Infectious Diseases, Internal Medicine Department, Faculty of Health Sciences, Tygerberg Academic Hospital and University of Stellenbosch, Cape Town, South Africa
  • ,
  • Neal Lesh

      Affiliations

    • D-Tree International, United States
    • Dimagi INC, United States

Received 18 March 2011; received in revised form 11 October 2011; accepted 23 November 2011. published online 19 December 2011.

Highlights

► The protocol developed has good discriminating abilities for ART triaging. The sensitivity of this protocol is 87% and specificity is 47%. We identified areas for improvement for future ART triaging protocol studies. The PDA supports complete and thorough assessment by lower cadres of health staff. The PDAs were readily adopted by the clinic staff for this study.

Abstract 

Background

The shortage of doctors and nurses, along with future expansion into rural clinics, will require that the majority of clinic visits by HIV infected patients on antiretroviral therapy (ART) are managed by non-doctors. The goal of this study was to develop and evaluate a screening protocol to determine which patients needed a full clinical assessment and which patients were stable enough to receive their medications without a doctor's consultation. For this study, we developed an electronic, handheld tool to guide non-physician counselors through screening questions.

Methods

Patients visiting two ART clinics in South Africa for routine follow-up visits between March 2007 and April 2008 were included in our study. Each patient was screened by non-physician counselors using the handheld device and then received a full clinical assessment. Clinicians’ report on whether full clinical assessment had been necessary was used as the gold standard for determining “required referral”. Observations were randomly divided into two datasets – 989 for developing a referral protocol and 200 for validating protocol performance.

Results

A third of patients had at least one physical complaint, and 16% had five or more physical complaints. 38% of patients required referral for full clinical assessment. We identify a subset of questions which are 87% sensitive and 47% specific for recommended patient referral.

Conclusions

The final screening protocol is highly sensitive and could reduce burden on ART clinicians by 30%. The uptake and acceptance of the handheld tool to support implementation of the protocol was high. Further examination of the data reveals several important questions to include in future referral algorithms to improve sensitivity and specificity. Based on these results, we identify a refined algorithm to explore in future evaluations.

Keywords: HIV treatment, Task shifting, Computer assisted protocols, Clinical protocols, Validation studies

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PII: S1386-5056(11)00236-X

doi:10.1016/j.ijmedinf.2011.11.003

International Journal of Medical Informatics
Volume 81, Issue 3 , Pages 166-172, March 2012