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1.
Vaccine ; 38(43): 6807-6813, 2020 10 07.
Article in English | MEDLINE | ID: mdl-32893037

ABSTRACT

BACKGROUND: Benin, a country eligible for Gavi support, changed the presentation of the 13-valent pneumococcal vaccine (PCV13) from the single-dose vial (SDV) to the multi-dose vial (MDV). The present work aims to evaluate the process of making this decision as well as programmatic and logistic impacts. METHODS: WHO protocol for post-introduction evaluation (PIE) was used. Programmatic impact was evaluated by comparing PCV13 coverage and dropout rates with a comparator vaccine administered simultaneously over similar 6-month periods prior to and after the transition. This impact was also appreciated from observation of multi-dose vial management practices during immunization sessions. Logistic impact was measured from the analysis of storage capacities, waste management and vaccine losses. RESULTS: Decision to move to PCV13 MDV was taken at EPI level. Activities planned to support this switch were partially implemented. Impact on vaccination coverage and PCV13 dropout rates in relation with the transition to PCV13 MDV was not detected. The study found that 63% of the health staff surveyed knew and applied WHO's multidose vial policy (MDVP). Vaccines opened vials were found in 83% of health facilities visited. PCV13 MDV (37%) was one of the 3 main vaccines found with open vials in health facility refrigerators. Vaccination risky practices were observed during immunization sessions in 83% of health facilities. The main risky practice was the lack of indication of the date and hour of opening vials (56%). There was a reduction of the volume occupied by vaccines at central store by 47%. Net storage volume per fully immunized child (FIC) decreased from 69.5 to 41 m3. PCV13 MDV allows for 40% reduction in the amount of waste produced by vaccination. PCV13 open vial loss rate has increased from 3 to 7%. CONCLUSION: Benin's experience in transition to an MDV presentation of PCV13 reveals the need for better preparation and planning.


Subject(s)
Pneumococcal Infections , Pneumococcal Vaccines , Benin , Child , Decision Making , Humans , Pneumococcal Infections/prevention & control , Vaccination , Vaccines, Conjugate
2.
PLoS Negl Trop Dis ; 7(1): e2014, 2013.
Article in English | MEDLINE | ID: mdl-23350009

ABSTRACT

BACKGROUND: Delay in seeking treatment at the hospital is a major challenge in current Buruli ulcer control; it is associated with severe sequelae and functional limitations. Choosing alternative treatment and psychological, social and practical factors appear to influence delay. Objectives were to determine potential predictors for pre-hospital delay with Leventhal's commonsense model of illness representations, and to explore whether the type of available dominant treatment modality influenced individuals' perceptions about BU, and therefore, influenced pre-hospital delay. METHODOLOGY: 130 healthy individuals aged >18 years, living in BU-endemic areas in Benin without any history of BU were included in this cross-sectional study. Sixty four participants from areas where surgery was the dominant treatment and sixty six participants from areas where antibiotic treatment was the dominant treatment modality were recruited. Using a semi-structured interview we measured illness perceptions (IPQ-R), knowledge about BU, background variables and estimated pre-hospital delay. PRINCIPAL FINDINGS: The individual characteristics 'effectiveness of treatment' and 'timeline acute-chronic' showed the strongest association with pre-hospital delay. No differences were found between regions where surgery was the dominant treatment and regions where antibiotics were the dominant treatment modality. CONCLUSIONS: Individual characteristics, not anticipated treatment modality appeared predictors of pre-hospital delay.


Subject(s)
Buruli Ulcer/drug therapy , Buruli Ulcer/surgery , Health Knowledge, Attitudes, Practice , Patient Acceptance of Health Care , Adult , Benin , Cross-Sectional Studies , Female , Humans , Interviews as Topic , Male , Middle Aged , Time Factors , Young Adult
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