Electronic medical record systems, data quality and loss to follow-up: survey of antiretroviral therapy programmes in resource-limited settings.

OBJECTIVE To describe the electronic medical databases used in antiretroviral therapy (ART) programmes in lower-income countries and assess the measures such programmes employ to maintain and improve data quality and reduce the loss of patients to follow-up. METHODS In 15 countries of Africa, South America and Asia, a survey was conducted from December 2006 to February 2007 on the use of electronic medical record systems in ART programmes. Patients enrolled in the sites at the time of the survey but not seen during the previous 12 months were considered lost to follow-up. The quality of the data was assessed by computing the percentage of missing key variables (age, sex, clinical stage of HIV infection, CD4+ lymphocyte count and year of ART initiation). Associations between site characteristics (such as number of staff members dedicated to data management), measures to reduce loss to follow-up (such as the presence of staff dedicated to tracing patients) and data quality and loss to follow-up were analysed using multivariate logit models. FINDINGS Twenty-one sites that together provided ART to 50 060 patients were included (median number of patients per site: 1000; interquartile range, IQR: 72-19 320). Eighteen sites (86%) used an electronic database for medical record-keeping; 15 (83%) such sites relied on software intended for personal or small business use. The median percentage of missing data for key variables per site was 10.9% (IQR: 2.0-18.9%) and declined with training in data management (odds ratio, OR: 0.58; 95% confidence interval, CI: 0.37-0.90) and weekly hours spent by a clerk on the database per 100 patients on ART (OR: 0.95; 95% CI: 0.90-0.99). About 10 weekly hours per 100 patients on ART were required to reduce missing data for key variables to below 10%. The median percentage of patients lost to follow-up 1 year after starting ART was 8.5% (IQR: 4.2-19.7%). Strategies to reduce loss to follow-up included outreach teams, community-based organizations and checking death registry data. Implementation of all three strategies substantially reduced losses to follow-up (OR: 0.17; 95% CI: 0.15-0.20). CONCLUSION The quality of the data collected and the retention of patients in ART treatment programmes are unsatisfactory for many sites involved in the scale-up of ART in resource-limited settings, mainly because of insufficient staff trained to manage data and trace patients lost to follow-up.

[1]  Paul G. Biondich,et al.  Cooking Up An Open Source EMR For Developing Countries: OpenMRS - A Recipe For Successful Collaboration , 2006, AMIA.

[2]  K. Anastos,et al.  Antiretroviral therapy in resource‐limited settings 1996 to 2006: patient characteristics, treatment regimens and monitoring in sub‐Saharan Africa, Asia and Latin America , 2008, Tropical medicine & international health : TM & IH.

[3]  J. Sterne,et al.  Mortality of HIV-1-infected patients in the first year of antiretroviral therapy: comparison between low-income and high-income countries , 2006, The Lancet.

[4]  R. Glazier,et al.  Setting and organization of care for persons living with HIV/AIDS. , 2006, The Cochrane database of systematic reviews.

[5]  Sharon S. Choi,et al.  An information system and medical record to support HIV treatment in rural Haiti , 2004, BMJ : British Medical Journal.

[6]  Christopher Bailey,et al.  Information Systems for Patient Follow-Up and Chronic Management of HIV and Tuberculosis: A Life-Saving Technology in Resource-Poor Areas , 2007, Journal of medical Internet research.

[7]  Xiao-Li Meng,et al.  Statistical Methods in Medical Research Applications of Multiple Imputation in Medical Studies: from Aids to Nhanes , 2022 .

[8]  Sydney Rosen,et al.  Patient Retention in Antiretroviral Therapy Programs in Sub-Saharan Africa: A Systematic Review , 2007, PLoS medicine.

[9]  Kalen Delaney Inside Microsoft SQL Server 2005: The Storage Engine , 2006 .

[10]  Treat Million by Initiative Treating 3 million by 2005. Making it happen: the WHO strategy. The WHO and UNAIDS global initiative to provide antiretroviral therapy to 3 million people with HIV/AIDS in developing countries by the end of 2005 , 2003 .

[11]  Sharon S. Choi,et al.  Implementing electronic medical record systems in developing countries. , 2005, Informatics in primary care.

[12]  M. Egger,et al.  Cohort Profile: Antiretroviral Therapy in Lower Income Countries (ART-LINC): international collaboration of treatment cohorts. , 2005, International journal of epidemiology.

[13]  Paul G. Biondich,et al.  Experience in Implementing the OpenMRS Medical Record System to Support HIV Treatment in Rwanda , 2007, MedInfo.

[14]  B. Chi,et al.  Rapid scale-up of antiretroviral therapy at primary care sites in Zambia: feasibility and early outcomes. , 2006, JAMA.

[15]  Wilson W. Odero,et al.  Application of Information Technology: Installing and Implementing a Computer-based Patient Record System in Sub-Saharan Africa: The Mosoriot Medical Record System , 2003, J. Am. Medical Informatics Assoc..

[16]  C P Chandrasekhar,et al.  Information and communication technologies and health in low income countries: the potential and the constraints. , 2001, Bulletin of the World Health Organization.

[17]  Paul G. Biondich,et al.  The AMPATH Medical Record System: Creating, Implementing, and Sustaining an Electronic Medical Record System to Support Hiv/AIDS Care in Western Kenya , 2007, MedInfo.

[18]  S. Pocock,et al.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration , 2007, Epidemiology.

[19]  Lynn Staley,et al.  The State of the World's Children, 2006 , 2006 .

[20]  S. Pocock,et al.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, The Lancet.

[21]  Mindy Hochgesang,et al.  Assessment of a national monitoring and evaluation system for rapid expansion of antiretroviral treatment in Malawi , 2007, Tropical medicine & international health : TM & IH.

[22]  Knut Bernstein,et al.  MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics - Building Sustainable Health Systems, 20-24 August, 2007, Brisbane, Australia , 2007, MedInfo.

[23]  R. Redfield,et al.  Antiretroviral Therapy in Resource-Limited Settings , 2002 .