Routine HIV testing in the context of syndromic management of sexually transmitted infections: outcomes of the first phase of a training programme in Botswana.

OBJECTIVE: In 2004, the Ministry of Health adopted revised protocols for the syndromic management of sexually transmitted infections (STI) that included routine HIV testing. A training programme for providers was developed on the revised protocols that featured interactive case studies and training videos. An objective of the first phase of the training programme was to test its effect on four measures of clinical practice: (1) routine HIV testing; (2) performance of physical examination; (3) risk-reduction counselling and (4) patient education. METHODS: Clinical practice in a district where providers were trained was compared with a district without training. The measures of clinical practice were reported by 185 patients of providers who had been trained and compared with reports by 124 patients at comparison clinics. RESULTS: Relative to patients at comparison clinics, a higher percentage of patients of trainees reported that the provider: (1) offered an HIV test (87% versus 29%; p<0.001); (2) conducted a physical examination (98% versus 64%; p<0.001); (3) helped them to make a plan to avoid future STI acquisition (95% versus 76%; p<0.001) and (4) provided patient-specific information about HIV risk (65% versus 32%; p<0.001). Among patients offered HIV testing, the percentage who accepted did not differ between groups (38% of 161 patients of trainees versus 50% of 36 comparison patients; p = 0.260). Overall, 33% of patients of trainees and 14% of comparison patients were tested (p<0.001). CONCLUSION: A multifaceted training programme was associated with higher rates of HIV testing, physical examination, risk-reduction counselling and better HIV risk education.

Site readiness assessment preceding the implementation of a HIV care and treatment electronic medical record system in Kenya.

INTRODUCTION: Electronic medical record (EMR) systems can yield many benefit; however, facilities need to meet certain requirements before they are able to successfully implement an EMR. We evaluated the feasibility and utility of conducting EMR readiness assessments (ERAs) to assess readiness of public facilities in Kenya for deployment of an EMR. METHOD: I-TECH supported the Ministry of Health to deploy KenyaEMR, an HIV/AIDS care and treatment EMR developed using the OpenMRS platform, at over 300 healthcare facilities in Kenya. The ERA tool was designed to assess site readiness for KenyaEMR deployment. The assessments measured health facility internal environment in terms of available resources, security, technical infrastructure, and leadership buy-in and support from MOH and stakeholders for EMR implementation. RESULTS: From September 2012 to September 2014, a total of 381facilities received at least one ERA. Of these, 343facilities were rated as highly or moderately prepared to adopt an EMR system and proceeded to EMR deployment. 61% of these sites were set up to implement KenyaEMR at point of care, while 39% were set up to implement KenyaEMR for retrospective data entry. Across 38facilities not implemented with an EMR, common reasons that prevented the implementation were lack of reliable power, security issues such as lack of grills on the windows and un-lockable doors, and existence of another EMR system at the site. CONCLUSIONS: ERAs conducted in a single day site visit were feasible and were instrumental in determining facilities' EMR implementation decision. Performing ERAs stimulated engagement of facility-level personnel to cultivate a fertile environment for EMR adoption and ownership. The assessments further assisted in resource mobilization, remediation of barriers to deployment, and increased buy-in from Ministry of Health leadership to support EMR implementation work.

Success factors for implementing and sustaining a mature electronic medical record in a low-resource setting: a case study of iSanté in Haiti.

Electronic health information systems, including electronic medical records (EMRs), have the potential to improve access to information and quality of care, among other things. Success factors and challenges for novel EMR implementations in low-resource settings have increasingly been studied, although less is known about maturing systems and sustainability. One systematic review identified seven categories of implementation success factors: ethical, financial, functionality, organizational, political, technical and training. This case study applies this framework to iSanté, Haiti's national EMR in use in more than 100 sites and housing records for more than 750 000 patients. The author group, consisting of representatives of different agencies within the Haitian Ministry of Health (MSPP), funding partner the Centers for Disease Control and Prevention (CDC) Haiti, and implementing partner the International Training and Education Center for Health (I-TECH), identify successes and lessons learned according to the seven identified categories, and propose an additional cross-cutting category, sustainability. Factors important for long-term implementation success of complex information systems are balancing investments in hardware and software infrastructure upkeep, user capacity and data quality control; designing and building a system within the context of the greater eHealth ecosystem with a plan for interoperability and data exchange; establishing system governance and strong leadership to support local system ownership and planning for system financing to ensure sustainability. Lessons learned from 10 years of implementation of the iSanté EMR system are relevant to sustainability of a full range of increasingly interrelated information systems (e.g. for laboratory, supply chain, pharmacy and human resources) in the health sector in low-resource settings.

An assessment of data quality in a multi-site electronic medical record system in Haiti.

OBJECTIVES: Strong data quality (DQ) is a precursor to strong data use. In resource limited settings, routine DQ assessment (DQA) within electronic medical record (EMR) systems can be resource-intensive using manual methods such as audit and chart review; automated queries offer an efficient alternative. This DQA focused on Haiti's national EMR - iSanté - and included longitudinal data for over 100,000 persons living with HIV (PLHIV) enrolled in HIV care and treatment services at 95 health care facilities (HCF). METHODS: This mixed-methods evaluation used a qualitative Delphi process to identify DQ priorities among local stakeholders, followed by a quantitative DQA on these priority areas. The quantitative DQA examined 13 indicators of completeness, accuracy, and timeliness of retrospective data collected from 2005 to 2013. We described levels of DQ for each indicator over time, and examined the consistency of within-HCF performance and associations between DQ and HCF and EMR system characteristics. RESULTS: Over all iSanté data, age was incomplete in <1% of cases, while height, pregnancy status, TB status, and ART eligibility were more incomplete (approximately 20-40%). Suspicious data flags were present for <3% of cases of male sex, ART dispenses, CD4 values, and visit dates, but for 26% of cases of age. Discontinuation forms were available for about half of all patients without visits for 180 or more days, and >60% of encounter forms were entered late. For most indicators, DQ tended to improve over time. DQ was highly variable across HCF, and within HCFs DQ was variable across indicators. In adjusted analyses, HCF and system factors with generally favorable and statistically significant associations with DQ were University hospital category, private sector governance, presence of local iSante server, greater HCF experience with the EMR, greater maturity of the EMR itself, and having more system users but fewer new users. In qualitative feedback, local stakeholders emphasized lack of stable power supply as a key challenge to data quality and use of the iSanté EMR. CONCLUSIONS: Variable performance on key DQ indicators across HCF suggests that excellent DQ is achievable in Haiti, but further effort is needed to systematize and routinize DQ approaches within HCFs. A dynamic, interactive "DQ dashboard" within iSanté could bring transparency and motivate improvement. While the results of the study are specific to Haiti's iSanté data system, the study's methods and thematic lessons learned holdgeneralized relevance for other large-scale EMR systems in resource-limited countries.