SummaryBackgroundIn low-income countries, surgical site infections (SSIs) are a very frequent form of hospital-acquired infection. Surveillance is an important method for controlling SSI but it is unclear how this can best be performed in low-income settings.AimTo examine the epidemiological characteristics of various components of an SSI surveillance programme in a single Kenyan hospital.MethodsThe study assessed the inter-observer consistency of the surgical wound class (SWC) and American Society of Anesthesiologists (ASA) scores using the kappa statistic. Post-discharge telephone calls were evaluated against an outpatient clinician review ‘gold standard’. The predictive value of components of the Centers for Disease Control and Prevention – National Healthcare Safety Network (CDC-NHNS) risk index was examined in patients having major obstetric or gynaecological surgery (O&G) between August 2010 and February 2011.FindingsAfter appropriate training, surgeons and anaesthetists were found to be consistent in their use of the SWC and ASA scores respectively. Telephone calls were found to have a sensitivity of 70% [95% confidence interval (CI): 47–87] and a specificity of 100% (95% CI: 95–100) for detection of post-discharge SSI in this setting. In 954 patients undergoing major O&G operations, the SWC score was the only parameter in the CDC-NHNS risk index model associated with the risk of SSI (odds ratio: 4.00; 95% CI: 1.21–13.2; P = 0.02).ConclusionsSurveillance for SSI can be conducted in a low-income hospital setting, although dedicated staff, intensive training and local modifications to surveillance methods are necessary. Surveillance for post-discharge SSI using telephone calls is imperfect but provides a practical alternative to clinic-based diagnosis. The SWC score was the only predictor of SSI risk in O&G surgery in this context.

IntroductionIn low-income countries, Surgical Site Infection (SSI) is a common form of hospital-acquired infection. Antibiotic prophylaxis is an effective method of preventing these infections, if given immediately before the start of surgery. Although several studies in Africa have compared pre-operative versus post-operative prophylaxis, there are no studies describing the implementation of policies to improve prescribing of surgical antibiotic prophylaxis in African hospitals.MethodsWe conducted SSI surveillance at a typical Government hospital in Kenya over a 16 month period between August 2010 and December 2011, using standard definitions of SSI and the extent of contamination of surgical wounds. As an intervention, we developed a hospital policy that advised pre-operative antibiotic prophylaxis and discouraged extended post-operative antibiotics use. We measured process, outcome and balancing effects of this intervention in using an interrupted time series design.ResultsFrom a starting point of near-exclusive post-operative antibiotic use, after policy introduction in February 2011 there was rapid adoption of the use of pre-operative antibiotic prophylaxis (60% of operations at 1 week; 98% at 6 weeks) and a substantial decrease in the use of post-operative antibiotics (40% of operations at 1 week; 10% at 6 weeks) in Clean and Clean-Contaminated surgery. There was no immediate step-change in risk of SSI, but overall, there appeared to be a moderate reduction in the risk of superficial SSI across all levels of wound contamination. There were marked reductions in the costs associated with antibiotic use, the number of intravenous injections performed and nursing time spent administering these.ConclusionImplementation of a locally developed policy regarding surgical antibiotic prophylaxis is an achievable quality improvement target for hospitals in low-income countries, and can lead to substantial benefits for individual patients and the institution.

Between January and June 2005, 5 distinct cholera outbreaks occurred in Kenya. Overall, 990 cases and 25 deaths (2.5%) were reported. Four outbreaks occurred in towns along major highways, and 1 occurred in a refugee camp near the Sudanese border, accessible to Nairobi by daily flights. Matched case-control studies from 2 outbreaks showed that failure to treat drinking water and storing drinking water in wide-mouthed containers were significantly associated with disease. Isolates from all 5 outbreaks were Vibrio cholerae O1, Inaba serotype, and had genetically similar PFGE patterns of SfiI-digested chromosomal DNA. Linkage of the outbreak locations by major transportation routes, their temporal proximity, and similar PFGE patterns of isolates suggests the outbreaks might have been linked epidemiologically, showing the speed and distance of cholera spread in countries like Kenya with pockets of susceptible populations connected by modern transportation. Prevention measures remain implementation of point-of-use safe water systems and case finding and referral.

BackgroundThe GAVI Alliance supported10-valent pneumococcal conjugate vaccine (PCV10) introduction in Kenya. We estimated the cost-effectiveness of introducing either PCV10 or the13-valent vaccine (PCV13) from a societal perspective and explored the incremental impact of including indirect vaccine effects.MethodsThe costs and effects of pneumococcal vaccination among infants born in Kenya in 2010 were assessed using a decision analytic model comparing PCV10 or PCV13, in turn, with no vaccination. Direct vaccine effects were estimated as a reduction in the incidence of pneumococcal meningitis, sepsis, bacteraemic pneumonia and non-bacteraemic pneumonia. Pneumococcal disease incidence was extrapolated from a population-based hospital surveillance system in Kilifi and adjustments were made for variable access to care across Kenya. We used vaccine efficacy estimates from a trial in The Gambia and accounted for serotype distribution in Kilifi. We estimated indirect vaccine protection and serotype replacement by extrapolating from the USA. Multivariable sensitivity analysis was conducted using Monte Carlo simulation. We assumed a vaccine price of US$ 3.50 per dose.FindingsThe annual cost of delivering PCV10 was approximately US$14 million. We projected a 42.7% reduction in pneumococcal disease episodes leading to a US$1.97 million reduction in treatment costs and a 6.1% reduction in childhood mortality annually. In the base case analysis, costs per discounted DALY and per death averted by PCV10, amounted to US$ 59 (95% CI 26–103) and US$ 1,958 (95% CI 866–3,425), respectively. PCV13 introduction improved the cost-effectiveness ratios by approximately 20% and inclusion of indirect effects improved cost-effectiveness ratios by 43–56%. The break-even prices for introduction of PCV10 and PCV13 are US$ 0.41 and 0.51, respectively.ConclusionsIntroducing either PCV10 or PCV13 in Kenya is highly cost-effective from a societal perspective. Indirect effects, if they occur, would significantly improve the cost-effectiveness.

IntroductionIron and Folic Acid Supplementation (IFAS) services are currently provided free of charge to pregnant women in Kenya during antenatal care (ANC) but compliance remains low. Poor awareness is an important factor contributing to low utilization of IFAS. Inadequate counselling is one of the key factors associated with poor awareness on IFAS. Community based health education is a promising diversification strategy for IFAS health education to curb this problem.ObjectivesTo determine effect of community based IFAS health education, utilizing CHVs, on IFAS knowledge, levels of counselling on various IFAS topics and attitude towards IFAS among pregnant women in Kiambu County.MethodologyA Pretest-Posttest Quasi-Experimental study design, consisting of intervention and control group, was applied among 340 pregnant women 18–49 years, in five health facilities, selected using two stage sampling in Lari Sub-County, Kiambu County, Kenya. Community health volunteers provided IFAS health education with weekly supplements and follow-ups to pregnant women in intervention group, while control group received the same from health care providers. Baseline and endline data were collected during ANC and compared. Quantitative data was analyzed using STATA version 14. Analysis of effect of intervention was done using Difference-In-Difference approach.ResultsThere was an effect difference in maternal IFAS knowledge of 13%, with intervention group levels increasing most by 35 percentage points. The odds of being knowledgeable were 3 times more at endline than baseline. There was significant (p<0.001) change in proportion with positive attitude towards IFAS: the odds of having positive attitude at endline was 9 times that of baseline (OR = 9.2:95%CI 3.1, 27.2).ConclusionImplementation of community based health education improved maternal knowledge, positive attitude and proportion of pregnant women counselled on IFAS, better improvement being recorded in intervention group. Hence, there is need to integrate community based approach with antenatal IFAS distribution to improve supplementation.