Methodology Research Design This was a cross-sectional study Target Population All postnatal mothers attending Maternal Child Health Clinic at Chilenje.

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Methodology Research Design This was a cross-sectional study Target Population All postnatal mothers attending Maternal Child Health Clinic at Chilenje Clinic, Lusaka Study Population Postnatal mothers who previously tested negative for HIV, coming for the 6 th week visit and have met the eligibility criteria Sample size and Sampling Procedure 404 mothers at the 6 th week postnatal visit were recruited by convenient sampling. Only women that had proof of a negative HIV test result in pregnancy were included in the study. Research Instruments Questionnaires were used to assess awareness and mothers eligible for repeat testing were offered the test. Research Methods Mothers were invited to the study as they came for their 6 th week post natal clinic visit. Consent was obtained and questionnaires administered to assess awareness and other parameters. Mothers eligible for repeat testing were counselled and tested. Testing was done as described in the Zambia HIV rapid test Algorithm. Post-test counselling was also done. Data Analysis Data was stored on Epidata v 3.1 and analysed using stata 11. Chi square tests were used to associate categorical variables with the primary outcome (repeat testing). Multivariate logistic regressions were used to adjust for confounders. Associations were considered significant at 95% confidence interval if p<0.05. Effect size was measured using odds ratios. Study area The study was limited to Chilenje Health Centre due to logistic challenges. Results and Discussion Table 1 Characteristics of study participants; n = 404 Conclusions and Recommendations Mothers that are aware of repeat antenatal HIV testing have a 4- fold chance of being retested Women that book in the first trimester are more than twice likely to be retested than women that book later Having 5 and more ANC visits increases the chances of being retested threefold In view of the findings and conclusions of this study, we recommended that:  Campaigns that encourage early booking and minimum four ANC visits as recommended by MOH should be intensified and implemented in all health facilities  PMTCT guidelines which emphasize repeat testing should be adhered to in all antenatal clinics to ensure full benefit of the programme whose aim among others is to reduce HIV infection in children.References 1.Prevention of Mother-to-Child transmission of HIV: Expert Panel Report and recommendations to the US. Global AIDS Coordinator January Zambia National Protocol Guidelines for the Integrated Prevention of Mother-to-Child Transmission of HIV, Zambia Electronic Perinatal record system 4. Kieffer M, Hoffman H, Nlabhats B, et al. Repeat HIV testing in labor and delivery as a standard of care increases ARV provision for women who seroconvert during pregnancy. Program and abstracts of the 17th Conference on Retroviruses and Opportunistic Infections (CROI); February 16-19, 2010; San Francisco, California. 5. Bwirire LD, Fitzgerald M, Zachariah R, et al. Reasons for loss to follow up among mothers registered in a Prevention-of-Mother- to-Child Transmission Program in Rural Malawi. Trans R Soc Trop Med Hyg 2008; 102: 1195 – Kebaabetswe PM. Barriers to Participation in the prevention of Mother-to-Child HIV transmission Program in Gaborone, Botswana, a qualitative approach. AIDS Care Mar: 19 (3): 355 – 60.Acknowledgements Dr C liu - CIDRZ Dr B Chi - CIDRZ Dr B Andrews - UTH Dr P Musonda - CIDRZ Dr V Mulenga - UTH Dr C Chabala – UTH Sr P Sipatonyana – Chilenje Clinic Sr C Chipanda – Chilenje Clinic AWARENESS OF REPEAT ANTENATAL HIV TESTING IN MOTHERS AT SIX WEEKS POST DELIVERY AT CHILENJE CLINIC, LUSAKA Mtaja A, Amadi B & Wasomwe S Department of Pediatrics and Child Health School of Medicine University of Zambia Abstract Abstract Zambia national guidelines on the Prevention of Mother to Child Transmission (PMTCT) recommend that all pregnant women and breastfeeding mothers must have HIV tests every 3 months. 2 However, less than 10% of pregnant women in Lusaka District get retested. 3 Repeat HIV testing identifies women who seroconvert after the first test and allows measures to reduce mother to child transmission to be instituted. 1 This cross-sectional survey aimed at investigating the effect of awareness of repeat testing on actual retesting in women attending the 6 th week post-natal clinic at Chilenje Health Centre in Lusaka. The objectives of the study were to determine the proportion of women that were aware of the repeat antenatal HIV testing, the number of women that were retested later in pregnancy or labour, and the number of postnatal mothers who seroconverted during the study. Results: Seventy two percent of the women were aware of the importance of repeat testing but only 36% received a repeat test. None of the women seroconverted during the study. Awareness was significantly associated with repeat testing (Odds ratio 3.8; 95% CI 2.9 – 6.9)Introduction Mother to child transmission of HIV is the major source of HIV infection in children. 1 An HIV infected child represents a missed opportunity for prevention. The retesting rates of less than 10% noted in clinics in Lusaka District are too low to translate into an effective PMTCT programme that will ensure zero vertical transmission of HIV. With these low retesting rates, women that seroconvert will be missed and pose a high risk of infection to the unborn child. Barriers to uptake of PMTCT services were numerous in various studies. 5,6 Of note were lack of discussion by antenatal care providers and lack of awareness of existing services by clients. It is important to investigate the effect of awareness on repeat testing as this will identify some of the issues related to non implementation of the National Guidelines and allow for appropriate intervention. Research Problem How does awareness affect the uptake of repeat testing? Purpose of the study The study aimed at determining effect of awareness of repeat testing on actual repeat testing in women attending the 6 th week postnatal clinic at Chilenje Health Centre in Lusaka. Objectives The specific objectives of the study were to: Ascertain the proportion of women that were aware of the repeat antenatal HIV testing Determine the number of mothers that were retested later in pregnancy or labour To ascertain the number of postnatal mothers who will have seroconverted by the 6 th week post natal visit Results and Discussion Table 2 – Outcomes Table 3 shows how awareness of repeat testing was strongly associated with actual repeat testing Table 4 - Results after adjusting for confounders Table 5 Multivariate analysis aw= awareness; ft=first trimester booking; av5=5+ ANC visits After controlling for confounding, awareness still remained significantly associated with repeat HIV testing. The study results of repeat testing (36%) were higher than the Lusaka district average of 10%. This is possibly due to the study effect, which Keiffer et al also observed at 45% in their intervention sites compared to 14% at the control sites. A higher number in ANC visits increased the chances of being retested 3- fold. This is comparable to other studies 5,6 which found that poor antenatal attendance translated into low rates of repeat testing. In this study, majority of the women were aware of the repeat antenatal HIV test, but only less than half had a repeat test. The major reason for not retesting was that repeat testing was not offered to the women by the health care providers. Women who are aware were 4 times more likely to be retested than those who were not. Perhaps these women may have requested to have a repeat test. Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) Supportiv e 50 (41.32%) 65 (53.72%) 6 (4.96%) 121 (100%) Participati ve 26 (25.24%) 77 (74.76%) (100%) Directive 64 (52.89%) 56 (46.28%) 1 (0.83%) 121 (100%) VariableMean/percentage Age26.3 years Education Secondary – 56% Tertiary – 29% EmploymentUnemployed – 63% Formal – 25%Self – 12% IncomeKR 2000 – 41%KR 1000 – 32% ResidenceMedium cost - 80%High cost – 13% Marital statusMarried – 82%Single – 18% ParityMultiparous – 59%Uniparous – 35% Grandmultipar ous – 6% Booking2 nd Trimester – 76%1 st Trimester – 16% 3 rd Trimester – 8% # routine ANC visits3 to 4 – 63%1 to 2 – 16%5 - 21% Place of deliveryClinic – 54%Hospital – 41%Home – 5% OutcomeFrequencyPercentage (%) Aware of repeat HIV testing 28972% (n=404) Received repeat HIV test antenatally 14436% (n=404) SeroconversionNil Repeat HIV TestOdds ratioP value95% conf. Interval awareness4.16< – 7.25 variableOdds ratioP value95% conf. interval Awareness Potential confounding variable 1) Education -Primary0.40 -Secondary0.83 -Tertiary – ) Gestational age at booking -First trimester3.3< – Second trimester0.45 -Third trimester0.70 3) Number of ANC visits - 1 to 2 visits to 4 visits visits3.80