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Cardiovascular disease (CVD) is the leading cause of death in the world, with a substantial health and economic burden confronted by low- and middle-income countries. In low-income countries such as Kenya, there exists a double burden of communicable and noncommunicable diseases, and the CVD profile includes many nonatherosclerotic entities. Socio-politico-economic realities present challenges to CVD prevention in Kenya, including poverty, low national spending on health, significant out-of-pocket health expenditures, and limited outpatient health insurance. In addition, the health infrastructure is characterized by insufficient human resources for health, medication stock-outs, and lack of facilities and equipment. Within this socio-politico-economic reality, contextually appropriate programs for CVD prevention need to be developed. We describe our experience from western Kenya, where we have engaged the entire care cascade across all levels of the health system, in order to improve access to high-quality, comprehensive, coordinated, and sustainable care for CVD and CVD risk factors. We report on several initiatives: 1) population-wide screening for hypertension and diabetes; 2) engagement of community resources and governance structures; 3) geographic decentralization of care services; 4) task redistribution to more efficiently use of available human resources for health; 5) ensuring a consistent supply of essential medicines; 6) improving physical infrastructure of rural health facilities; 7) developing an integrated health record; and 8) mobile health (mHealth) initiatives to provide clinical decision support and record-keeping functions. Although several challenges remain, there currently exists a critical window of opportunity to establish systems of care and prevention that can alter the trajectory of CVD in low-resource settings., (Copyright © 2015 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.)

Objective: This cohort study utilized data from a large HIV treatment program in western Kenya to describe the impact of active tuberculosis (TB) on clinical outcomes among African patients on antiretroviral therapy (ART)., Design: We included all patients initiating ART between March 2004 and November 2007. Clinical (signs and symptoms), radiological (chest radiographs) and laboratory (mycobacterial smears, culture and tissue histology) criteria were used to record the diagnosis of TB disease in the program's electronic medical record system., Methods: We assessed the impact of TB disease on mortality, loss to follow-up (LTFU) and incident AIDS-defining events (ADEs) through Cox models and CD4 cell and weight response to ART by non-linear mixed models., Results: We studied 21,242 patients initiating ART-5,186 (24%) with TB; 62% female; median age 37 years. There were proportionately more men in the active TB (46%) than in the non-TB (35%) group. Adjusting for baseline HIV-disease severity, TB patients were more likely to die (hazard ratio--HR = 1.32, 95% CI 1.18-1.47) or have incident ADEs (HR = 1.31, 95% CI: 1.19-1.45). They had lower median CD4 cell counts (77 versus 109), weight (52.5 versus 55.0 kg) and higher ADE risk at baseline (CD4-adjusted odds ratio = 1.55, 95% CI: 1.31-1.85). ART adherence was similarly good in both groups. Adjusting for gender and baseline CD4 cell count, TB patients experienced virtually identical rise in CD4 counts after ART initiation as those without. However, the overall CD4 count at one year was lower among patients with TB (251 versus 269 cells/µl)., Conclusions: Clinically detected TB disease is associated with greater mortality and morbidity despite salutary response to ART. Data suggest that identifying HIV patients co-infected with TB earlier in the HIV-disease trajectory may not fully address TB-related morbidity and mortality.

Objective: To determine risk factors for death in HIV-infected African patients on anti-retroviral therapy (ART)., Design: Retrospective Case-control study., Setting: The MOH-USAID-AMPATH Partnership ambulatory HIV-care clinics in western Kenya., Results: Between November 2001 and December 2005 demographic, clinical and laboratory data from 527 deceased and 1054 living patients receiving ART were compared to determine independent risk factors for death. Median age at ART initiation was 38 versus 36 years for the deceased and living patients respectively (p<0.0148). Median time from enrollment at AMPATH to initiation of ART was two weeks for both groups while median time on ART was eight weeks for the deceased and fourty two weeks for the living (p<0.0001). Patients with CD4 cell counts <100/mm3 were more likely to die than those with counts >100/mm3 (HR=1.553. 95% CI (1.156, 2.087), p<0.003). Patients attending rural clinics had threefold higher risk of dying compared to patients attending clinic at a tertiary referral hospital (p<0.0001). Two years after initiating treatment fifty percent of non-adherent patients were alive compared to 75% of adherent patients. Male gender, WHO Stage and haemoglobin level <10 grams% were associated with time to death while age, marital status, educational level, employment status and weight were not., Conclusion: Profoundly immunosuppressed patients were more likely to die early in the course of treatment. Also, patients receiving care in rural clinics were at greater risk of dying than those receiving care in the tertiary referral hospital.

Background: United states Agency for International development-Academic Model for Providing Accesses to Healthcare (USAID-AMPATH) cares for over 80,000 HIV-infected patients. Express care (EC) model addresses challenges of: clinically stable patient's adherent to combined-antiretroviral-therapy with minimal need for clinician intervention and high risk patients newly initiated on cART with CD4 counts < or = 100 cells/mm3 with frequent need for clinician intervention., Objective: To improve patient outcomes without increasing clinic resources., Design: A descriptive study of a clinician supervised shared nurse model., Setting: USAID-AMPATH clinics, Western Kenya., Results: Four thousand eight hundred and twenty four patients were seen during the pilot period, 90.4% were eligible for EC of whom 34.6% were enrolled. Nurses performed all traditional roles and attended to two thirds and three quarters of stable and high risk patient visits respectively. Clinicians attended to one third and one quarter of stable and high risk patient visits respectively and all visits ineligible for express care., Conclusion: The EC model is feasible. Task shifting allowed stable patients to receive visits with nurses, while clinicians had more time to concentrate on patients that were new as well as more acutely ill patients.

Purpose: We implemented computer-based reminders for CD4 count tests at an HIV clinic in Western Kenya though an open-source Electronic Medical Record System. Within a month, providers had stopped complying with the reminders., Methods: We used a multi-method qualitative approach to determine reasons for failure to adhere to the reminders, and took multiple corrective actions to remedy the situation., Results: Major reasons for failure of the reminder system included: not considering delayed data entry and pending test results; relying on wrong data inadvertently entered into the system; inadequate training of providers who would sometimes disagree with the reminder suggestions; and resource issues making generation of reminders unreliable. With appropriate corrective actions, the reminder system has now been functional for over eight months., Conclusion: Implementing clinical decision support in resource-limited settings is challenging. Understanding and correcting root causes of problems related to reminders will facilitate successful implementation of the decision support systems in these settings., (Copyright 2010 Elsevier Ireland Ltd. All rights reserved.)

Background: In 2001, HIV postexposure prophylaxis (PEP) was initiated in western Kenya., Methods: Design, implementation, and evolution of the PEP program are described. Patient data were analyzed for reasons, time to initiation, and PEP outcome., Results: Occupational PEP was initiated first followed by nonoccupational PEP (nPEP). Antiretroviral regimens were based upon national PEP guidelines, affordability and availability, and prevailing HIV prevalence. Emerging side effects data and cost improvements influenced regimen changes. Between November 2001 and December 2006, 446 patients sought PEP. Occupational exposure: 91 patients: 51 males; 72 accepted HIV testing; 48 of 52 source patients were HIV infected; median exposure-PEP time 3 hours (range: 0.3-96 hours). Of 72 HIV-negative patients receiving PEP, 3 discontinued, 69 completed, and 23 performed post-PEP HIV RNA polymerase chain reaction (all negative). Eleven follow-up HIV enzyme-linked immunosorbent assay tests have all turned negative. Nonoccupational exposure: 355 patients; 285 females; 90 children; 300 accepted HIV testing; median exposure-nPEP time 19 hours (range: 1-672 hours). Of 296 HIV-negative patients on nPEP, 1 died, 15 discontinued, 104 are on record having completed PEP, and 129 returned for 6-week HIV RNA polymerase chain reaction (1 patient tested positive). Eighty-seven follow-up HIV enzyme-linked immunosorbent assay tests have all turned negative., Conclusions: It is feasible to provide PEP and nPEP in resource-constrained settings.

Objective: To determine admissions diagnosis and outcomes of HIV-infected patients attending AMPATH ambulatory HIV-care clinics., Design: Prospective cohort study., Setting: Academic Model for Prevention and Treatment of HIV/ AIDS (AMPATH) ambulatory HIV-care clinic in western Kenya., Results: Between January 2005 and December 2006, 495 HIV-infected patients enrolled in AMPATH were admitted. Median age at admission was 38 years (range: 19-74), 62% females, 375 (76%) initiated cART a median 56 days (range: 1-1288) before admission. Majority (53%) had pre-admission CD4 counts <100 cells/ml and 23% had counts >200 cells/ml. Common admissions diagnoses were: tuberculosis (27%); pneumonia (15%); meningitis (11%); diarrhoea (11%); malaria (6%); severe anaemia (4%); and toxoplasmosis (3%). Deaths occurred in 147 (30%) patients who enrolled at AMPATH a median 44 days (range: 1-711) before admission and died a median 41 days (range: 1-713) after initiating cART. Tuberculosis (27%) and meningitis (14%) were the most common diagnoses in the deceased. Median admission duration was six days (range: 1-30) for deceased patients and eight days (range: 1-44) for survivors (P=0.0024). Deceased patients enrolled in AMPATH or initiated cART more recently, had lower CD4 counts and were more frequently lost to follow-up than survivors (P<0.05 for each comparison). Initiation of cART before admission and clinic appointment adherence were independent predictors of survival., Conclusion: Although high mortality rate is seen in HIV-infected in-patients, those initiating cART before admission were more likely to survive.

Background and Objective: The HIV/AIDS epidemic in sub-Saharan Africa is decimating populations, deteriorating economies, deepening poverty, and destabilizing traditional social orders. The advent of the U.S. President's Emergency Plan for AIDS Relief (PEPFAR) made significant supplemental resources available to sub-Saharan national programs for the prevention and treatment of HIV/AIDS, but few programs have demonstrated the capacity to use these resources to increase rapidly in size. In this context, AMPATH, a collaboration of Indiana University School of Medicine, the Moi University School of Medicine, and the Moi Teaching and Referral Hospital in Eldoret, Kenya, is a stunning exception. This report summarizes findings from an assessment of AMPATH staff perceptions of how and why this has happened. PARTICIPANTS AND APPROACH: Semistructured, in-depth, individual interviews of 26 AMPATH workers were conducted and recorded. Field notes from these interviews were generated by independent reviewers and subjected to close-reading qualitative analysis for themes., Results: The themes identified were as follows: creating effectively, connecting with others, making a difference, serving those in great need, providing comprehensive care to restore healthy lives, and growing as a person and a professional., Conclusion: Inspired personnel are among the critical assets of an effective program. Among the reasons for success of this HIV/AIDS program are a set of work values and motivations that would be helpful in any setting, but perhaps nowhere more critical than in the grueling work of making a complex program work spectacularly well in the challenging setting of a resource-poor country. Sometimes, even in the face of long odds, the human spirit prevails.

Administering and monitoring therapy is crucial to the battle against HIV/AIDS in sub-Saharan Africa. Electronic medical records (EMRs) can aid in documenting care, monitoring drug adherence and response to therapy, and providing data for quality improvement and research. Faculty at Moi University in Kenya and Indiana and University in the USA opened adult and pediatric HIV clinics in a national referral hospital, a district hospital, and six rural health centers in western Kenya using a newly developed EMR to support comprehensive outpatient HIV/AIDS care. Demographic, clinical, and HIV risk data, diagnostic test results, and treatment information are recorded on paper encounter forms and hand-entered into a central database that prints summary flowsheets and reminders for appropriate testing and treatment. There are separate modules for monitoring the Antenatal Clinic and Pharmacy. The EMR was designed with input from clinicians who understand the local community and constraints of providing care in resource poor settings. To date, the EMR contains more than 30,000 visit records for more than 4000 patients, almost half taking antiretroviral drugs. We describe the development and structure of this EMR and plans for future development that include wireless connections, tablet computers, and migration to a Web-based platform.