The effect of electronic medical record-based clinical decision support on HIV care in resource-constrained settings: A systematic review

https://doi.org/10.1016/j.ijmedinf.2012.07.010Get rights and content

Abstract

Background

It is estimated that one million people infected with HIV initiate anti-retroviral therapy (ART) in resource-constrained countries annually. This occurs against a background of overburdened health workers with limited skills to handle rapidly changing treatment standards and guidelines hence compromising quality of care. Electronic medical record (EMR)-based clinical decision support systems (CDSS) are considered a solution to improve quality of care. Little evidence, however, exists on the effectiveness of EMR-based CDSS on quality of HIV care and treatment in resource-constrained settings.

Objective

The aim of this systematic review was to identify original studies on EMR-based CDSS describing process and outcome measures as well as reported barriers to their implementation in resource-constrained settings. We characterized the studies by guideline adherence, data and process, and barriers to CDSS implementation.

Methods

Two reviewers independently assessed original articles from a search of the MEDLINE, EMBASE, CINAHL and Global Health Library databases until January 2012. The included articles were those that evaluated or described the implementation of EMR-based CDSS that were used in HIV care in low-income countries.

Results

A total of 12 studies met the inclusion criteria, 10 of which were conducted in sub-Saharan Africa and 2 in the Caribbean. None of the papers described a strong (randomized controlled) evaluation design. Guideline adherence: One study showed that ordering rates for CD4 tests were significantly higher when reminders were used. Data and process: Studies reported reduction in data errors, reduction in missed appointments, reduction in missed CD4 results and reduction in patient waiting time. Two studies showed a significant increase in time spent by clinicians on direct patient care. Barriers to CDSS implementation: Technical infrastructure problems such as unreliable electric power and erratic Internet connectivity, clinicians’ limited computer skills and failure by providers to comply with the reminders are key impediments to the implementation and effective use of CDSS.

Conclusion

The limited number of evaluation studies, the basic and heterogeneous study designs, and varied outcome measures make it difficult to meaningfully conclude on the effectiveness of CDSS on quality of HIV care and treatment in resource-limited settings. High quality evaluation studies are needed. Factors specific to implementation of EMR-based CDSS in resource-limited setting should be addressed before such countries can demonstrate its full benefits. More work needs to be done to overcome the barriers to EMR and CDSS implementation in developing countries such as technical infrastructure and care providers’ computer illiteracy. However, simultaneously evaluating and describing CDSS implementation strategies that work can further guide wise investments in their wider rollout.

Highlights

► There is weak evidence on benefits of CDSS in resource-constrained settings due to limitations of the published studies. ► Several infrastructural, human capacity and policy barriers hinder effective use of CDSS in resource-constrained settings. ► There is need for more rigorous evaluation of EMR-based CDSS in resource poor countries to inform impact on care.

Introduction

The 2010 Progress Report “Towards Universal Access” for HIV services reported that 5.25 million people infected with HIV in low-middle income countries were receiving life-saving antiretroviral therapy (ART) at the end of 2009, representing an increase of 1.2 million people since December 2008 [1]. The greatest proportion of these patients (74%) were in sub-Saharan Africa. HIV/AIDS is a chronic disease and treatment guidelines require that patients on ART visit health care providers monthly, resulting in ongoing collection of longitudinal data to monitor treatment [2], [3], [4]. Case finding, enrolling in pre-ART care, tracking CD4 levels regularly, starting ART treatment, ensuring adherence and monitoring side effects are essential components of HIV care. The rapid annual increase in number of patients in a setting of overworked clinical staff with limited training potentially compromises quality of care and requires solutions that enable optimal care provision. Electronic medical record (EMR) systems are considered to be such a solution, especially when they support the implementation of guidelines through Clinical Decision Support Systems (CDSS) [5], [6].

The use of EMR-based CDSS has been shown to improve quality of health care. This has been demonstrated through better diagnosis, reduced medication errors [5], [7] and improved practitioner performance [8]. Studies conducted in the US and other developed countries have shown that CDSS can improve quality of HIV care through improved compliance with guidelines [9], [10]. On the other hand, a systematic review by Tawadrous et al. showed that many studies were often limited by the evaluation method used and benefits can only be reported selectively [11].

The increasing number of patients enrolling on HIV treatment has led to an increase in the number of EMRs developed to document, monitor and manage patient care in developing countries [6]. As with other health care innovations, EMRs and CDSS must be rigorously evaluated to establish their benefits before scaling up their use in clinical practice. Many systematic reviews on CDSS that have been conducted and published such as [8], [11], [12], describe experiences from developed countries. None has so far focused on resource-constrained settings where unique challenges and barriers to implementation of EMRs are encountered. To justify further investment of resources from a highly competitive funding environment for the development and implementation of EMRs with CDSS in resource-poor countries, evidence on their benefits, barriers and overall impact on health outcomes is needed.

We conducted a systematic literature review to identify published original studies on EMR-based CDSS describing process and outcome measures as well as reported barriers to their implementation in resource-constrained settings. We characterized the studies by adherence to clinical guidelines, data and process, and implementation barriers.

Section snippets

Methods

In this review, CDSS is defined as a computerized information system that matches individual patient characteristics to a computerized knowledge base or software algorithms to generate patient-specific and aggregate recommendations. The recommendations are delivered to the clinician via, for example, computer screen monitors, mobile phones, or printouts in patient notes as alerts or reminders.

We searched for original articles in English using MEDLINE, EMBASE, CINAHL and The Global Health

Search

The initial scan based on our search strategies resulted in 2020 articles, which included 1981 original papers and 39 systematic reviews. The titles and abstracts for the 2020 articles were scanned and 1953 articles were excluded because the primary subject was not EMR/CDSS, the studies were not clearly associated with patient care or guidelines, the studies were conducted in a developed country or the study did not mention use of any clinical information system. Two additional studies were

Discussion

Our systematic literature review identified twelve studies meeting our inclusion criteria, 10 of which were conducted in sub-Saharan Africa and the other two in the Caribbean. The three studies that reported quantitative evaluation of the effect of CDSS on quality of care showed statistically significant improvement in compliance with ordering critical laboratory investigation (CD4 tests), an increase in time spent directly with patients in health care provision, and a reduction in missed

Author contribution

Tom Oluoch, Ameen Abu-Hanna and Nicolette de Keizer designed the study and the subsequent search strategy. All co-authors were involved in interpreting the results and Tom Oluoch, Daniel Kwaro, Xenophon Santas, Martin Were, Paul Biondich and Christopher Bailey put the results in context of the resource limited setting. TO and NdK selected and reviewed the literature. TO and NdK drafted and revised the manuscript. All authors edited and reviewed the manuscript and gave their final approval for

Conflict of interest

None.

Summary points

What was already known on the topic:

  • Rapid increase in the number of HIV patients enrolled in clinics managed by overworked clinical staff can compromise care.

  • The use of EMRs with CDSS has been shown to improve quality of healthcare in developed countries.

  • HIV care and treatment monitoring is data-intensive prompting increased use of EMRs in resource poor settings.

What this study added to our knowledge:

  • Benefits of EMR-based CDSS in resource poor settings cannot be generalized

Acknowledgements

Special thanks to Dr. Hamish Fraser of the Brigham and Women Hospital, Boston, USA for his useful comments and assistance in editing this paper. This manuscript has been approved by the Director of the Kenya Medical Research Institute (KEMRI).

References (41)

  • World Health Organizations, Antiretroviral Therapy for HIV Infection in Adults and Adolescents,...
  • World Health Organizations, Antiretroviral Therapy for HIV Infection in Infants and Children: Towards Universal Access,...
  • S. Shea et al.

    Computerized clinical decision support systems begin to come of age

    Am. J. Med.

    (1999)
  • F. Williams et al.

    The role of the electronic medical record (EMR) in care delivery development in developing countries: a systematic review

    Inform. Prim. Care

    (2008)
  • D.W. Bates et al.

    The impact of computerized physician order entry on medication error prevention

    J. Am. Med. Inform. Assoc.

    (1999)
  • A.X. Garg et al.

    Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review

    JAMA

    (2005)
  • K. Kawamoto et al.

    Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success

    BMJ

    (2005)
  • OpenMRS. Open Medical Records System, 2012. Retrieved from...
  • B.W. Mamlin et al.

    AMPATH Medical Record System (AMRS): collaborating toward an EMR for developing countries

    AMIA Annu. Symp. Proc.

    (2005)
  • H.S. Fraser et al.

    An information system and medical record to support HIV treatment in rural Haiti

    BMJ

    (2004)
  • Cited by (72)

    • Measures of success of computerized clinical decision support systems: An overview of systematic reviews

      2021, Health Policy and Technology
      Citation Excerpt :

      The second place were CDSSs used for disease detection (14, 31.11%) [15,47–52]. The third concern was chronic disease management (5, 11.11%) [32,53–56]. Cardiovascular diseases (CVD) [53], chronic obstructive pulmonary disease (COPD) [32], diabetes [54], and HIV [55] management are main chronic disease services of CDSSs usage.

    • Digital mental health interventions for children and youth

      2023, Handbook of Research on Advances in Digital Technologies to Promote Rehabilitation and Community Participation
    View all citing articles on Scopus
    View full text