Deployment of vaccine cold chain equipment in resource-limited settings: lessons from the Gavi Cold Chain Optimization Platform in Cameroon.

BACKGROUND: Lack of or use of suboptimal cold chain equipment (CCE) is a major barrier to optimal immunization coverage and equity. Gavi established the CCE optimization platform (CCEOP) in 2015 to help eligible countries modernize their cold chain systems. However, there are limited data on CCE deployment at country level. We present lessons learnt from deploying CCE from the Gavi CCEOP in Cameroon. METHODS: This cross-sectional study collected data on the number of days items of CCE spent at each point on their trajectory from the entry port to 62 randomly selected health facilities in Cameroon. RESULTS: Once equipment arrived at the entry port, it took 10 d for customs clearance, 2 d from customs clearance to warehousing and 257 d (>9 mo) from the warehouse to facilities. Upon arrival at the facilities, it took a median of 53 (range 0-395) d from installation to final commissioning: most of the days (median=210) were spent between installation and final commissioning. The major causes of delays included insufficient coordination and communication across all levels, poor documentation and final commissioning. CONCLUSION: Early engagement on customs clearance, strengthening coordination and communication, ensuring proper documentation, as well as eliminating final commissioning, could significantly improve implementation of the program.

The faces behind vaccination: unpacking the attitudes, knowledge, and practices of staff of Cameroon's Expanded program on Immunization.

BACKGROUND: Immunization is regarded as one of the most cost-effective public health interventions in global health. However, its cost-effectiveness depends greatly on the knowledge and skills of vaccinators. With the growing complexity of immunization programs, the need for a well-trained vaccination workforce cannot be overemphasized. In this study, we assessed the knowledge, attitudes, and practices among vaccination staff in Cameroon. METHODS: Through a descriptive cross-sectional design, we used structured questionnaires and observation guides to collect data from vaccination staff in health facilities that were selected by a multistage sampling method. Data were analyzed using STATA 13 software. RESULTS: Overall, we collected data from Expanded Program on Immunization focal staff in 265 health facilities across 68 health districts. Over half (53%) of the surveyed facilities were found in rural areas. Nearly two-thirds of health facilities had immunization focal staff with knowledge gaps for each of the four basic immunization indicators assessed. In other words, only 37% of staff knew how to estimate coverages, 36% knew how to inteprete the EPI monitoring curve, 35% knew how to prepare vaccine orders, and 37% knew how to estimate vaccine wastage. In terms of practices, staff waited for more than ten children to be present before opening a 20-dose vaccine vial in 63% of health facilities, and more than five children to be present before opening a 10-dose vaccine vial in 80% of surveyed facilities. Provision of vaccine-specific information (informing caregiver about vaccine received, explanation of benefits and potential side effects) during immunization sessions was suboptimal for the most part. CONCLUSION: This study suggests marked deficits in immunization knowledge among vaccination staff and exposes common attitudes and practices that could contribute to missed opportunities for vaccination and hinder vaccination coverage and equity in Cameroon. Our findings highlight the urgent need to invest in comprehensive capacity building of vaccination staff in Cameroon, especially now that the immunization program is becoming increasingly complex.

Development of a composite scoring system to rank communities at high risk of zero-dose children in Cameroon: A geospatial analysis.

Background: Despite growing efforts to improve access to vaccination, millions of children, especially in developing countries, have not received a single dose of diphtheria, tetanus, and pertussis (DTP) vaccine. Consequently, they are often called zero-dose children (ZDC). With limited health resources, prioritising communities for rapid and mass zero-dose catch-up vaccination in missed communities to avert epidemic outbreaks is complicated by unreliable denominators used to compute vaccination coverages. Incorporating other indicators of access and utilisation of vaccination services can help with identifying and ranking missed communities based on the likelihood of finding ZDC. We described the process of generating a scoring method to rank health areas in Cameroon based on their likelihood of containing ZDC. Methods: We used geospatial analysis to compute and aggregate health area characteristics, including hard-to-reach (HTR) areas (defined as areas of settlement above a one- (for urban areas) or 15-kilometre radius (for rural areas) beyond a vaccinating health facility), amount of area covered by slums and new area settlement, and percentage of children unvaccinated for DTP-1. We attributed a weight based on the ability to limit accessibility or utilisation of vaccination services to each characteristic and computed the score as a weighted average of health area characteristics. The health area score ranged from 0 to 1, with higher scores representing a higher likelihood of containing ZDC. We stratified the analysis by rural and urban health areas. Results: We observed substantial district and regional variations in health area scores, with hotspots health areas (administrative level 4) observed in the Far North (0.83), North (0.81), Adamawa (0.80), East (0.75), and South West (0.67) regions. The Adamawa region had the highest percentage of health areas with the highest score (78%), followed by the East (50%), West (48%), and North (46%) regions. For most regions (Far North, South, South West, Littoral, West, and North West), DTP-1 contributed the most to the score. However, HTR settlement areas within a health area contributed substantially to the overall score in the East, North, and Adamawa regions. Conclusions: We found substantial variations in health area scores with hotspots in the Far North, North, Adamawa, East, and South West regions. Although DTP-1 could be used as an indicator to identify health areas with ZDC for most communities, HTR settlement area was a valuable indicator in ranking priority health areas in the East, North, and Adamawa regions, further emphasising the need to consider other indicators before prioritisation.

Assessment of immunization data management practices in Cameroon: unveiling potential barriers to immunization data quality.

BACKGROUND: One crucial obstacle to attaining universal immunization coverage in Sub-Saharan Africa is the paucity of timely and high-quality data. This challenge, in part, stems from the fact that many frontline immunization staff in this part of the world are commonly overburdened with multiple data-related responsibilities that often compete with their clinical tasks, which in turn could affect their data collection practices. This study assessed the data management practices of immunization staff and unveiled potential barriers impacting immunization data quality in Cameroon. METHODS: A descriptive cross-sectional study was conducted, involving health districts and health facilities in all 10 regions in Cameroon selected by a multi-stage sampling scheme. Structured questionnaires and observation checklists were used to collect data from Expanded Program of Immunization (EPI) staff, and data were analyzed using STATA VERSION 13.0 (StataCorp LP. 2015. College Station, TX). RESULTS: A total of 265 facilities in 68 health districts were assessed. There was limited availability of some data recording tools like vaccination cards (43%), maintenance registers (8%), and stock cards (57%) in most health facilities. Core data collection tools were incompletely filled in a significant proportion of facilities (37% for registers and 81% for tally sheets). Almost every health facility (89%) did not adhere to the recommendation of filling tally sheets during vaccination; the filling was instead done either before (51% of facilities) or after (25% of facilities) vaccinating several children. Moreso, about 8% of facilities did not collect data on vaccine administration. About a third of facilities did not collect data on stock levels (35%), vaccine storage temperatures (21%), and vaccine wastage (39%). CONCLUSION: Our findings unveil important gaps in data collection practices at the facility level that could adversely affect Cameroon's immunization data quality. It highlights the urgent need for systematic capacity building of frontline immunization staff on data management capacity, standardizing data management processes, and building systems that ensure constant availability of data recording tools at the facility level.