The number of people in the world living with HIV is increasing as HIV-related mortality has declined but the annual number of people newly infected with HIV has not. The international response to contain the HIV pandemic, meanwhile, has grown. Since 2006, an international commitment to scale up prevention, treatment, care and support services in middle and lower-income countries by 2010 has been part of the Universal Access programme, which itself plays an important part in achieving the Millennium Development Goals by 2015. Apart from providing technical support, donor countries and agencies have substantially increased their funding to enable countries to scale up HIV services. Many countries have been developing their HIV monitoring and evaluation systems to generate the strategic information required to track their response and ensure the best use of the new funds. Financial information is an important aspect of the strategic information required for scaling up existing services as well as assessing the effect of new ones. It involves two components: tracking the money available and spent on HIV at all levels, through budget tracking, national health accounts and national AIDS spending assessments, and estimating the cost and efficiency of HIV services. The cost of service provision should be monitored over time, whereas evaluations of the cost-effectiveness of services are required periodically; both should be part of any country's HIV monitoring and evaluation system. This paper provides country examples of the complementary relationship between monitoring the cost of HIV services and evaluating their cost-effectiveness. It also summarizes global initiatives that enable countries to develop their own HIV monitoring and evaluation systems and to generate relevant, robust and up-to-date strategic information.
Introduction: Developing countries are increasingly strengthening national health information systems (HIS) for evidence-based decision-making. However, the inability to report indicator data automatically from electronic medical record systems (EMR) hinders this process. Data are often printed and manually reentered into aggregate reporting systems. This affects data completeness, accuracy, reporting timeliness, and burdens staff who support routine indicator reporting from patient-level data.
Summary Background A clinical decision support system (CDSS) is a computer program that applies a set of rules to data stored in electronic health records to offer actionable recommendations. We aimed to establish whether a CDSS that supports detection of immunological treatment failure among patients with HIV taking antiretroviral therapy (ART) would improve appropriate and timely action. Methods We did this prospective, cluster randomised controlled trial in adults and children (aged ≥18 months) who were eligible for, and receiving, ART at HIV clinics in Siaya County, western Kenya. Health facilities were randomly assigned (1:1), via block randomisation (block size of two) with a computer-generated random number sequence, to use electronic health records either alone (control) or with CDSS (intervention). Facilities were matched by type and by number of patients enrolled in HIV care. The primary outcome measure was the difference between groups in the proportion of patients who experienced immunological treatment failure and had a documented clinical action. We used generalised linear mixed models with random effects to analyse clustered data. This trial is registered with ClinicalTrials.gov, number NCT01634802. Findings Between Sept 1, 2012, and Jan 31, 2014, 13 clinics, comprising 41 062 patients, were randomly assigned to the control group (n=6) or the intervention group (n=7). Data collection at each site took 12 months. Among patients eligible for ART, 10 358 (99%) of 10 478 patients were receiving ART at control sites and 10 991 (99%) of 11 028 patients were receiving ART at intervention sites. Of these patients, 1125 (11%) in the control group and 1342 (12%) in the intervention group had immunological treatment failure, of whom 332 (30%) and 727 (54%), respectively, received appropriate action. The likelihood of clinicians taking appropriate action on treatment failure was higher with CDSS alerts than with no decision support system (adjusted odds ratio 3.18, 95% CI 1.02–9.87). Interpretation CDSS significantly improved the likelihood of appropriate and timely action on immunological treatment failure. We expect our findings will be generalisable to virological monitoring of patients with HIV receiving ART once countries implement the 2015 WHO recommendation to scale up viral load monitoring. Funding US President’s Emergency Plan for AIDS Relief (PEPFAR), through the US Centers for Disease Control and Prevention.
Background Electronic health records (EHRs) have been implemented in many low-resource settings but lack strong evidence for usability, use, user confidence, scalability, and sustainability. Objective This study aimed to evaluate staff use and perceptions of an EHR widely used for HIV care in >300 health facilities in Rwanda, providing evidence on factors influencing current performance, scalability, and sustainability. Methods A randomized, cross-sectional, structured interview survey of health center staff was designed to assess functionality, use, and attitudes toward the EHR and clinical alerts. This study used the associated randomized clinical trial study sample (56/112, 50% sites received an enhanced EHR), pulling 27 (50%) sites from each group. Free-text comments were analyzed thematically using inductive coding. Results Of the 100 participants, 90 (90% response rate) were interviewed at 54 health centers: 44 (49%) participants were clinical and 46 (51%) were technical. The EHR top uses were to access client data easily or quickly (62/90, 69%), update patient records (56/89, 63%), create new patient records (49/88, 56%), generate various reports (38/85, 45%), and review previous records (43/89, 48%). In addition, >90% (81/90) of respondents agreed that the EHR made it easier to make informed decisions, was worth using, and has improved patient information quality. Regarding availability, (66/88) 75% said they could always or almost always count on the EHR being available, whereas (6/88) 7% said never/almost never. In intervention sites, staff were significantly more likely to update existing records (P=.04), generate summaries before (P<.001) or during visits (P=.01), and agree that “the EHR provides useful alerts, and reminders” (P<.01). Conclusions Most users perceived the EHR as well accepted, appropriate, and effective for use in low-resource settings despite infrastructure limitation in 25% (22/88) of the sites. The implementation of EHR enhancements can improve the perceived usefulness and use of key functions. Successful scale-up and use of EHRs in small health facilities could improve clinical documentation, care, reporting, and disease surveillance in low- and middle-income countries.
BackgroundIndividual-level data are needed to optimize clinical care and monitor and evaluate HIV services. Confidentiality and security of such data must be safeguarded to avoid stigmatization and discrimination of people living with HIV. We set out to assess the extent that countries scaling up HIV services have developed and implemented guidelines to protect the confidentiality and security of HIV information.MethodsQuestionnaires were sent to UNAIDS field staff in 98 middle- and lower-income countries, some reportedly with guidelines (G-countries) and others intending to develop them (NG-countries). Responses were scored, aggregated and weighted to produce standard scores for six categories: information governance, country policies, data collection, data storage, data transfer and data access. Responses were analyzed using regression analyses for associations with national HIV prevalence, gross national income per capita, OECD income, receiving US PEPFAR funding, and being a G- or NG-country. Differences between G- and NG-countries were investigated using non-parametric methods.ResultsHigher information governance scores were observed for G-countries compared with NG-countries; no differences were observed between country policies or data collection categories. However, for data storage, data transfer and data access, G-countries had lower scores compared with NG-countries. No significant associations were observed between country score and HIV prevalence, per capita gross national income, OECD economic category, and whether countries had received PEPFAR funding.ConclusionsFew countries, including G-countries, had developed comprehensive guidelines on protecting the confidentiality and security of HIV information. Countries must develop their own guidelines, using established frameworks to guide their efforts, and may require assistance in adapting, adopting and implementing them.
Background Electronic Health Record Systems (EHRs) are being rolled out nationally in many low- and middle-income countries (LMICs) yet assessing actual system usage remains a challenge. We employed a nominal group technique (NGT) process to systematically develop high-quality indicators for evaluating actual usage of EHRs in LMICs. Methods An initial set of 14 candidate indicators were developed by the study team adapting the Human Immunodeficiency Virus (HIV) Monitoring, Evaluation, and Reporting indicators format. A multidisciplinary team of 10 experts was convened in a two-day NGT workshop in Kenya to systematically evaluate, rate (using Specific, Measurable, Achievable, Relevant, and Time-Bound (SMART) criteria), prioritize, refine, and identify new indicators. NGT steps included introduction to candidate indicators, silent indicator ranking, round-robin indicator rating, and silent generation of new indicators. 5-point Likert scale was used in rating the candidate indicators against the SMART components. Results Candidate indicators were rated highly on SMART criteria (4.05/5). NGT participants settled on 15 final indicators, categorized as system use (4); data quality (3), system interoperability (3), and reporting (5). Data entry statistics, systems uptime, and EHRs variable concordance indicators were rated highest. Conclusion This study describes a systematic approach to develop and validate quality indicators for determining EHRs use and provides LMICs with a multidimensional tool for assessing success of EHRs implementations.
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